Pi Processbook Moving Average

ADMs Reise til en Enterprise Agreement Presenter: Scott Harmeier. Archer Daniels Midland Company Scott vil dele ADMs reis fra sin første PI gjennomføring gjennom gjennomføringen av sin forretningsavtale. ADMs bruk av PI-systemet har utviklet seg gjennom årene da det realiserte datakraften for å forbedre prosessoperasjonen. Til slutt, ønsket om å transformere prosessdata til informasjon som var aktuelt for alle nivåer i selskapet, kulminerte i jakten på en bedriftsavtale. Scott vil forklare hendelsene og motivasjonen som fører opp til bedriftsavtalen og diskutere metodene som brukes til å overbevise overordnet ledelse om at foretaket var godt egnet for ADMs langsiktige mål. Kundepresentasjon Fremhever Under hver brukerkonferanse leverer våre presentere underholdende, kreative og informative samtaler. Det er alltid to eller tre presentasjoner der nye datasett, nyskapende brukstilfeller eller friske tilnærminger til langvarige problemer, overraske oss og få oss til å lære mer. I denne keynote-presentasjonen vil våre MC Christoph Papenfuss og Andrew Fanara dele høydepunkter fra disse standout-sesjonene for å gi hele konferansegruppen en smak av det som foregikk i løpet av disse sesjonene. 2014 Utgivelser: Kunder Perspektiver Denne diskusjonen fokuserer på nylige og nærmeste produktutgivelser. Coresight Mobile, ProcessBook Viewer, Event rammer, PI Cloud Connect og AF Analytics vil bli presentert. En rekke PI-kunder vil bli med OSIsoft under denne diskusjonen for å diskutere deres nåværende eller planlagte bruk av disse utgivelsene, og verdien disse utgivelsene gir til organisasjonene sine. FIELD MOUS: A Technical Data Repository for å aktivere JIT Decision Making presenter: Francisco Castillo, Ph. D. PMP. Senior Vice President og Chief Information Officer Maynilad Water Services, Inc. En utfordring i enhver bedrift er å forstå nøyaktig hvor du er til enhver tid, uavhengig av om dette er økonomisk eller operativt. For operasjoner er utfordringen spesielt akutt da den nødvendige informasjonen ligger i flere kilder, hvorav noen er stengt og vanskelig å trekke ut. Videre har tekniske datakilder ikke tradisjonelt blitt håndtert godt av IT-avdelinger på grunn av mangel på kompetanse i håndtering av disse tekniske systemene, samt mangel på dyp kunnskap om hva brukerne egentlig trenger. Denne snakningen fokuserer på det døbte FIELD MOUS-systemet (Field MOnitoring User System), som i hovedsak er et PI-system som fungerer som et lager av tekniske data, som forskjellige avdelinger støtter dataene til, og andre avdelinger får tilgang til det for å passe til deres spesielle behov. Dette er et langsiktig, faset prosjekt som tar sikte på å samle alle nødvendige tekniske data, og produsere rapporter og analyser basert på faktiske tekniske managementrsquos behov. Programmer som er utviklet eller er i ferd med utvikling inkluderer telemetri, automatisering, konvensjonell måling og AMR, tapanalyse (NRW), instrumentpaneler, CBM og trykkbehandling. Den konkluderer med de faktiske fordelene som kommer fra denne gjennomføringen. Dens ditt skip: Oppnå gjennombruddspresentant: Kaptein Mike Abrashoff. Tidligere US Naval Commander, Ledelse Amp Performance Expert, Bestselling Forfatter Når Mike Abrashoff ble Commander of USS Benfold, var han den mest junior Commanding Officer i Stillehavsflåten. Utfordringer ombord på denne underachieving destroyer var svimlende med lav moral og den høyeste omsetningen i Navy. Hans løsning var et system som han kalte Leadership Roadmap. Itrsquos er en prosess med å forestille seg lederskap og erstatte kommando og kontroll med engasjement og sammenheng. Ved å engasjere hjerter, tanker og lojaliteter fra sine sjømenn, oppnådde han en operasjonell suksess som aldri ble oppnådd. Gjennom overbevisning og ydmykhet engasjerte Abrashoff sitt unge mannskap gjennom empowerment. Han trodde, quotThe viktigste som en kaptein kan gjøre er å se skipet gjennom crewquotets øyne. Etter å ha forlatt Navy Abrashoff med medstiftelse GLS Worldwide, har han jobbet med mer enn 1000 organisasjoner, fra non-profits til Fortune Ti selskaper å innføre ledelsesinitiativer på alle nivåer. Ved å lære verdien av å bemyndige hver enkelt til å dele ansvaret for å oppnå fortreffelighet, har han gjort fenomenal forandring på noen av de mest uventede stedene. citerer skipet ditt, sitat abrashoff vil si på benfold dette har blitt et ord i hele bedriftens Amerika. Flytting mot en sanntidshistorie: Eventtrafikk, dataøkosystemer og samarbeidsprosjekter Som avanserte sensorer, utmerker mobilteknologi og Dets Internett en oversvømmelse av operative data, ledere søker å kapitalisere på ldquobig data. rdquo Dr. Kennedy vil adressere disse fremvoksende trender og hvordan OSIsoftrsquos grunnleggende oppdrag, for å sikre at kundene har tilgang til sine data når som helst, hvor og hvor det er nødvendig, forblir avgjørende i dette miljøet. Lite data betyr store penger, enten på plantegulvet eller i C-suite, fortsetter operasjonelle data å fungere som grunnlag for informert beslutningstaking. Dr. Kennedy vil diskutere hvordan en PI System tilnærming tjener til å forme, validere og beskytte kritiske data som skaper nøyaktig, sporbar og handlingbar informasjon. Skala, fleksibilitet og tilkobling ldquoBigrdquo data starter som små data. Over tid har PI System-brukere utviklet seg fra å overvåke enkle, kritiske eiendeler til planteområder til hele planter og til slutt på tvers av planter. Da barrierer for effektiv tilkobling senkes, er dataøkosystemene støttet av PI-systemet potensialerende Connected Services, Transportation og Smart City-initiativer. Partnere: Andre selskaper tilbyr programvare for instrumentering, analyse eller tjenester som våre kunder trenger. I fjor besluttet OSIsoft å styrke vårt forhold til disse selskapene gjennom et forbedret partnerprogram. Vi fortsetter å finne og samarbeide med de andre selskapene for å bedre integrere våre produkter og betjene våre kunder. Ved å følge våre kjerneverdier etter hvert som teknologien går videre, jobber OSIsoft for å støtte hver og alle sine kunder. Industrielle brukere anser livet til en prosessenhet for å være i størrelsesorden 50 år. Derfor har programvare med et liv på 5 år bare ikke akseptabelt. Målet vårt er å bygge det mest hensiktsmessige systemet for i dag, mens fremtiden sikrer våre brukere og beskytter investeringen og holder selskapet lyd nok til å fortsette å gjøre det. Sett deg på kartet: Fusjonen av PI-systemet Esri ArcGIS Esri gjør det mulig for organisasjoner å maksimere data og applikasjoner ved å avsløre hvor i bedriftens data. Esri ArcGIS utvider verdien av tradisjonelle bedriftsapplikasjoner ved å inkorporere GIS (geografiske informasjonssystemer) for å hjelpe deg med å visualisere, stille spørsmål, analysere, tolke og forstå data. Den består av en skalerbar plattform som fungerer i skyen, på mobile enheter, og innenfor eksisterende IT-systemer. Resultatet er tilgang til bedre informasjon for organisasjoner på alle nivåer som unearths relasjoner, mønstre og trender som ellers ville forbli låst bort. OSIsoft og Esri jobber sammen for å sikre at du er i stand til å utnytte kraften i dataene dine med GIS. Ved å vise sanntidsnettverksdata og historisk informasjon på et kart, vil du kunne se mønstre basert på geografi og utføre romlig analyse. Kombinasjonen av Esri ArcGIS PI-systemet vil bringe dataene dine til livs og sette deg på kartet. Realisere kraften til dataene dine. Store data, Power BI, mobilitet, hva betyr de egentlig for virksomheten din og hvordan kan de forbedre bunnen din? linje Å utnytte informasjonen du allerede har på nye måter, kan hjelpe deg med å ikke bare mer med mindre, men NYTT med mindre. Hør om de innovative måtene selskaper og regjeringer utnytter en av deres største eiendeler for å øke innsikt, effektivitet og sikkerhet. Syngenta Enogen Business Case Study: Vår Evolution til Connected Services Syngentas Enogen Business har bare brukt OSIsoft PI systemet i mindre enn 2 år, men har allerede gjort det til en kjerne og integrert del av strategien for raskt voksende denne nye, men kritisk viktige Syngenta virksomhet. Presentasjonen vil gjennomgå transformasjonsreisen som Enogens team har tatt, som har involvert bruk av mange av de nyeste OSIsoft PI - og Microsoft-teknologiene, inkludert Windows Azure, Asset Framework og Event Frames. Syngenta har også nylig innledet en ny lisensavtale for å tilby Connected Services til interessentanlegg. Dette gjør det mulig for Enogen-teamet å utnytte det PI-arbeidet som opprinnelig ble gjort for intern bruk med plantene som leverer dataene, og å dele den administrerte informasjonen ved hjelp av PI-pakken med analytiske, rapporterings - og visualiseringsverktøy. Tilnærmingstjenesten tilnærming er for tiden underkastet en nøkkelforetak for etanologisk anlegg. System Pålitelighet Columbia Pipeline Group For Columbia Pipeline Group (CPG) å være bransjeleder innen kundeservice og for å møte kravene til vår ekstremt konkurransedyktige industri, må vi operere trygt og effektivt med høy grad av pålitelighet. CPG serverer noen av nasjonene høyest verdi energimarkeder via våre naturgass overførings - og lagringsanlegg. Utdanningsrørledningen strekker seg over 15 000 miles og spenner over 16 stater med ca 1,1 millioner hestekrefter med komprimering innlagt på over 100 stasjoner. Ved Columbia Pipeline Group tillater OSIsoft Enterprise-avtalen bruk av ledende teknologi for å ta Big Data-beslutninger. Vi analyserer sanntidsdata for å forhindre anleggshendelser ved bruk av OSIsoft, Microsoft og Transpara-verktøy med en estimert sviktbesparelse på ca 2 millioner til dags dato. Analyse og overvåking av data tillatt CPG til nylig vær noen av de kaldeste leveringsdagene i 30 år. Den 6. og 7. januar var CPGs gjennomstrømning rangert i de fem beste høyeste toppdager siden 1981. Mens Nordøst-etterspørselen slo rekordnivåer under polarvortexen, utførte Columbia Pipeline Groups eiendeler pålitelig uten avbrudd av naturgassleveranser. En kunde uttrykte takknemlighet, jeg ville bare takke alle på CPG for å hjelpe oss med å betjene våre kunder pålitelig og trygt gjennom noen av de mest alvorlige forholdene som ble opplevd i år, kanskje tiår. Nylige hendelser viser at besittelse av evnen til å oppdage potensielle feil tidlig gir enorm verdi til ikke bare CPG, men også våre kunder og miljøet. Power of Data Decision Klar i sanntid Jenny Kennedy Linton - President og Martin Otterson - Senior Vice President, vil velkommen deltakerne til vår 25. årlige brukerkonferanse. De vil da introdusere vårt konferansetema: Power of Data - Beslutningsklar i sanntid som støttes av våre tre hovedtemaer Kraften til tilkobling, frigjøre infrastrukturen din og informasjon på stedet. Den andre maskinalderen Andrew deler viktige emner fra sin nye bok. Den andre maskinalderen publiserte i januar. Det beskriver hans overbevisning om at vi er på et bøyningssted, de tidlige stadiene av et skifte så dypt som det som ble brakt av den industrielle revolusjonen og innvarslet av den ubøyelige veksten i databehandlingskraft, massedatafikasjon og rekombinante innovasjoner. Måten vi opplever Insight (BI og Big Data) Strøm BI for Office 365, en skybasert business intelligence-tjeneste som gir folk en kraftig ny måte å jobbe med data i verktøyene de bruker hver dag, Excel og Office 365. Med Excel Du kan nå oppdage, analysere og visualisere data som aldri før for å finne verdifull forretningsinnsikt. Med Power BI for Office 365 kan kunder enkelt distribuere et skybasert BI-miljø der folk kan dele innsikt, samarbeide og få tilgang til rapporter, hvor som helst. Denne økten vil fokusere på å se Power BI for Office 365 i aksjon. Gjennom en rekke datautforsknings - og visualiseringseksempler ser du godt hvordan Microsofts nye BI-løsning gjør det mulig for flere brukere å oppleve innsikt, samt å skape balanse mellom selvbetjenende BI - og IT-operasjoner som er en nøkkelakselerant for adopsjon. Med Power BI for Office 365 kommer data fra Windows Azure, Office og lokale datakilder som OSIsoft PI sammen i moderne, tilgjengelige BI-opplevelser. Forbedre investeringen i PI-infrastrukturen: PI-server 2014 I denne sesjonen demonstrerer vi hvordan den kommende PI Server 2014 vil forbedre på mange aspekter av PI-systemet, slik at du enkelt kan frigjøre kraften i PI-infrastrukturen din. Tenk deg å få flere resultater tilgjengelig for enda flere brukere - du kan ha det, pluss få fremtidige tidsstempler. Bli med og se hva som er i butikken for 2014 PI-serveren. Kommer til et PI-system i nærheten av deg I denne sesjonen som er planlagt for de med godt arbeidskunnskap om PI-systemet, vil vi vise et raskt overblikk over hva som er nytt i PI-systemet og hva som blir jobbet for neste år. Denne samtalen vil hjelpe deg med å forstå vår produktkartkart og gi deg bedre innblikk i de mest hensiktsmessige stedene å tilbringe tid på denne års brukerkonferanse. Koble til plass og tid - OSIsoft og Esri At Users Conference 2013, kunngjorde OSIsoft et partnerskap med Esri, gullstandarden for geospatial analyse og kart. Dette partnerskapet har ført til etableringen av et produkt, PI Integrator for Esri ArcGIS, som gjør sanntids kart til en enkel realitet for bedriften. Den pakkede løsningen vil levere PI System-data inn i hjertet av Esris ArcGIS-plattformen, der den fyller vakre, innsiktsfulle kart og krever sanntids geoanalyse. Denne sesjonen vil ta en grundig gjennomgang av sine evner og erfaringer. Lær hva den enkle konfigureringsopplevelsen innebærer for administratorer, og se deretter de imponerende resultatene av PI System datafarging et kart og fôring av geospatial analytics. Koble til den nysgjerrige bedriften: OSIsoft og Microsoft Power BI Kom og se hvordan nye verktøy kan brukes til forbedret oppdagelse av prosessadferd eller for slank beslutningstaking i organisasjonen. Ny teknologi har utviklet seg for å ta data utover informasjonslaget og forvandle det til intelligens. Microsoft Power BI for Office 365 gir innovative analysverktøy og nye måter å koble flere brukere til PI System data på. Den nye PI OData-tjenesten justerer PI-infrastrukturen med disse teknologiene ved å forenkle datatilgang gjennom Microsoft Power Query for Excel 2013. Denne sesjonen demonstrerer disse nye applikasjonene, inkludert Power QA, som kan svare på spørsmål ved hjelp av PI-systemdata på stedet. Koble til web - og mobilapplikasjoner til PI-systemet Koble til personer og prosesser med PI-systemer gjennom skyaktiverte web - og mobilapplikasjoner, det er kraften i PI Web API og PI Cloud Access-systemene. Kombinasjonen av disse teknologiene gjør det mulig for en ny klasse av webmobile, tverrplattform og dataoverføringsprogrammer på tvers av virksomheter. Denne sesjonen vil markere applikasjonsutviklingsmuligheter som disse teknologiene tilbyr og vil dekke visjonen og veikartet. Oppdage, visualisere og handle: Hvordan gi sammenheng til kritisk hendelse PI Event Frames gjør det mulig for kunder å registrere og finne viktige prosess - eller forretningsarrangementer som nedetid, prosessutflukter, oppstart og andre hendelser med starttid og sluttid. I denne sesongen vil vi demo PI Event Frames-støtte på tvers av PI-systemet. Delta på å lære hvordan du kan utnytte effekten av hendelser i ditt PI-system. Eventuell rapportering med PI DataLink 2014 PI DataLink 2014 gjør PI System rapportering enda bedre ved å rapportere om hendelser og boring ned i historiske data ved å introdusere støtte for PI Event Frames. Det gjør også lokalisering av eiendeler basert på kriterier fra PI Asset Framework-maler som er flammende raskt med et nytt malbasert søk. Andre forbedringer inkluderer raskere generell søk og navigering, forbedrede metadata og mer. Kom til denne sesjonen for å se alle høydepunktene i de to siste utgivelsene og kommende utgivelsen av PI DataLink. Utvikling av OSIsoft Developer Community: Hva du trenger å vite Da PI-systemet utvikler seg fra en verden av servere og skrivebord til en verden av tjenester og enheter, må støttestrukturen for utviklerfellesskapet også utvikle seg. OSIsoft er å etablere det vi refererer til som PI Developer Platform rettet mot å støtte moderne utviklingsarbeid og gjøre det enklere for utviklere å få de verktøyene og støtten de trenger. Vårt ultimate mål er å gi deg alt du trenger for å være en vellykket utvikler for å frigjøre strømmen av data. Dette gjelder både OSIsoft-partnere og kunder. Noen teknologier vil bli åpne og lettere tilgjengelige, mens andre vil bli avskrevet over tid. Denne diskusjonen vil utvide på disse konseptene, gi deg en bedre ide om hva vi gjør for å investere i utviklerfellesskapet, og snakk med hvordan det påvirker deg. PI Batch Brukere: Batch Migrasjon til PI Event Rammer Denne snakken er for PI Batch kunder. Her går vi inn i detaljer om OSIsofts planer om å migrere PI Batch data til PI Event Frames i PI Server 2014. Vi vil gi demoer på nåværende måter å visualisere batch hendelser i PI System, inkludert PI Coresight og PI Data Link. PI Coresight 2014: Sett PI ProcessBook i lommen Fortsett å utnytte eksisterende visualiseringsinvesteringer og begynn å bruke enhetene dine brukerne krever. PI Coresight 2014 støtter PI ProcessBook-skjermer og kan vises på alle enheter, enten inne eller utenfor bedriften. Vi viser hvor lett det er å importere og vise PI ProcessBook-skjermer i nesten hvilken som helst nettleser, og snakk om fordelene og begrensningene i denne flotte nye muligheten til PI Coresight 2014. PI System 101: Grunnleggende for nybegynnere Er du helt ny til PI System En sluttbruker er usikker på hvor dataene kommer fra en PI-systemadministrator som trenger å lære om nye verktøy Kom til denne økten for å finne ut hva PI-systemet handler om, hvordan infrastrukturen kan være til nytte for organisasjonen din å levere ekte verdi, og å se en demonstrasjon på høyt nivå av hvordan kundene jobber med verktøyene våre for å få innblikk i prosessene sine. Denne halvtimersøkten vil gi deg det grunnleggende du trenger for å forstå mange av de andre presentasjonene som vil være tilgjengelige gjennom hele konferansen. Øk IQ av datakilder med intelligente PI-kontakter. Verdien av nye aktivitetsbaserte PI-grensesnitt ligger i bruk av metadata som allerede er tilgjengelige i mange datakilder. Med den reduserte konfigurasjonstiden og økt kontekst rundt PI System-data, reduserer denne teknologien tiden som trengs for å få nye data inn i PI-systemet og gjøre dataene lettere å oppdage. Kom og lær førstehånds om den nye generasjonen av PI-grensesnitt. Kraften til en tilkoblet forsyningskjede Et år etter avsløring av PI Cloud Connect som OSIsofts første SaaS-tilbud, vil denne sesjonen gi en oppdatering av teknologien og hvordan kundene har brukt den siden for å muliggjøre datautveksling på tvers av bedrifter. Kom og lær hvordan du kan utnytte våre nye tilkoblede tjenester. Løsne kraften i store data Hadops økosystem gir et flott sett med komplementære verktøy for å analysere alle dataene i PI-systemet. Denne sesjonen vil demonstrere hvordan man bruker Hadoop til å løse tre vanlige forretningsmessige problemstillinger: å finne unntaksforhold over et helt sett utstyr, korrelere mange forskjellige variabler og batchbehandlingsfiler. I hver demonstrasjon blir den resulterende kunnskapen operasjonalisert ved å mate resultatene tilbake til real-time-funksjonene i PI-systemet. Hva skal jeg gjøre for å forhindre mitt PI-system mot cybertrusler Inspirert av den amerikanske Cyber ​​Challenge, skapt OSIsoft en til vårt eget PI-system. Dette oppdraget forbinder OSIsofts best og klareste til det mest stilte spørsmålet om PI-systemet og nettverkssikkerhet: Hva skal jeg gjøre for å herde PI-systemet mot cyberstrusler I løpet av denne sesongen vil de prisbelønte utfordringene være på plass for å demonstrere deres sikkerhetssikkerhet PI System kjører i Azure skyen. Kom og se selv og lær hvilke herdingsteknikker som ble bedømt best, og hvorfor. Hvorfor Internett av ting Mega-Trend vil øke verdien av din PI-infrastruktur Mega-trender som tingenes Internett og Maskin til Maskin har fått oppmerksomhet i næringslivet fordi hver har potensial til å forstyrre og radikalt endre måten selskapene gjøre forretninger. Endpoints blir smartere og mindre, og nettverkene blir mer robuste. Som en tilkoblet bedrift, hvordan vil du fange opp disse dataene med PI-infrastrukturen og gjøre beslutningen klar Denne sesjonen vil diskutere utfordringene, mulighetene og verdiscenariene mot våre PI System-bedriftens brukere. En reise i et integrert raffinaderiinformasjonssystem med PI-systemet På Rijeka-raffineriet har ulike digitale kontroll - og overvåkingssystemer blitt implementert siden 1990-tallet. Ulike systemer har vært egne øyer med egen infrastruktur og konsollverkstasjoner. Over tid var noen historikere tilgjengelige for bedriftsnettverket, men ingen reell integrasjon av data eksisterte. Koble alle kontroll - og overvåkingssystemer ved hjelp av PI-systemet, har vi integrert prosessdata fra ulike systemer til en. Data fra ulike ikke-prosesssystemer - laboratoriedata, miljøovervåkning, materialbevegelser og manuelt innførte data - ble også integrert. PI-systemet og integrerte data ga brukeren en infrastruktur for å betjene disse dataene til ulike behov og systemer som materialbalanse (Sigmafine), planlegging og planlegging (Orion), miljø, produksjon, kapitalforvaltning mm Grafisk visualisering av data og distribusjon på virksomheten nettverk oppnås ved hjelp av Synthesis (SharePoint og PI WebParts), slik at alle i bedriftsnettverket kan få øyeblikkelig informasjon om raffinaderiprosesser. Reisen til et integrert raffinaderi-informasjonssystem startet ved å koble øyer med styresystemer til ett PCN, bygge et serverrom og serverpark, opprette en DMZ-sone for PI-servere og koble den til bedriftsnettverk. Etter utarbeidelse av infrastruktur begynte dataintegrasjon å bygge OPC-tilkoblinger til styresystemer og grensesnitt til ikke-prosessdata. Grensesnitt til ikke-prosessdata ble opprettet ved hjelp av PI SDK og Visual Basic, mens kontroll av grensesnitt for lesedata og automatisk PI-punktopprettelse er gjort i PI AF. PI System-integrerte data brukes mye i mange rapporter, analyse, beregninger og visualisering over brede interessegrupper i raffinaderi og selskap for å oppnå bedre innsikt og kontroll av raffinaderiprosesser. CPMS Miljøovervåkning ved naturgassoverføringsanlegg Presenter: Zacharie Mupeo. Sør-California Gas Company Sør-California Gas Company (SoCalGas) endret seg fra å oppfylle miljøovervåkningsforskrifter ved hjelp av arbeidskraft og papir og blyant til et toppmoderne overvåkingssystem på 21-tallet på mindre enn tre år. SoCalGas er nasjonens største naturgassdistributionsverktøy, og SoCalGas serviceområde omfatter terreng i hele Sentral - og Sør-California, fra Visalia til den meksikanske grensen. Mange av SoCalGas-transmisjonskompressorstasjonene påvirket av RICE NESHAPS er hundrevis av kilometer unna sentralgasskontrollbasen, og mange er ubemannede. Forordninger vedtatt 1. april 2013 har direkte påvirket disse transmisjonskompressorstasjonene. Denne presentasjonen dekker SoCalGas mulighet til å etablere grunnlag for å håndtere miljøregler, inkludert, men ikke begrenset til, RICE NESHAPS, GHG, lokale luftdistriktsregler og vilkår for Tittel V. PI-systemet er grunnlaget for SoCalGas kvantespring i datainnsamling og - overvåking. Emner som diskuteres inkluderer: Reduksjon av 504 man timer for å bestemme RICE NESHAPS compliance Automatisert rapportgenerering, konsistens av datahåndtering Bruk av MS EXCEL. VBA, PI Data Access-verktøy Etablering av et system bestående av 6 fjernstasjoner og sentralstasjon for dataaggregering, overvåkning og tilgang til stasjonsdata for ikke-stasjonært personell. Bruk av PI-PI over WAN Hver stasjon har en dedikert PI-server Bruk av MS Active Directory og PI-identiteter, for autorisasjon Datarationalisering og systemhelseovervåkning Bruk av OSIsoft-partnere og PI-utvidelser Compliance Assurance Funksjoner som beregninger, alarmvarsling, varsling , hendelsesannonsering og rapportering Data rasjonalisering og systemhelseovervåking Opprettelse av en miljødatainfrastruktur Mulighet for å legge til utstyr og målinger Høy pålitelighet og tilgjengelighet av data Data Validation Module støtter sanntids beslutningsprosess CEMEX startet ved å bruke PI-systemet for real - tidsdatainnsamling for å drive en plante effektivt, men siden da har den utviklet sin bruk og inkorporert kvalitetsdata, produksjonsgodkjent data, energiledelse og utslippsadministrasjon. CEMEX kaller denne utviklingen Cement Production Management-initiativet (CPM), og den har etablert PI-systemarkitekturen som en viktig plattform innen CEMEX. Den siste innlemmelsen til denne modellen er datavalideringsmodulen. Dette systemet gjør det mulig for CEMEX å samle sanntidsdata fra produksjonslinjen og presentere den til anleggsadministratorer som kan validere dataene ved å utføre sanntidsjusteringer av produksjonsvariabler. Når dataene er validert, kan anleggsadministratoren sende dataene til SAP i løpet av sekunder. Denne modulen har gitt reell verdi siden den leverer sanntidsdata fra produksjonslinjen opp til ERP-plattformen. Forbedret beslutningstaking gjennom integrering av sanntids - og forretningsdata Denne presentasjonen gir en oversikt over en Chevron Gulf of Mexico-forretningsenhetens implementering ved hjelp av OSIsoft-programvarepakken for å forbedre brukergruppenes tilgang til sanntidsdata med viktige bedriftsdata for kontekst til aktivere mer rettidige og informerte forretningsbeslutninger. Bruker - og automasjonsteamet var engasjert i alle stadier av prosjektgjennomføringen. En gradvis implementering omfattet oppgradering, stabilisering og utvidelse av eksisterende infrastruktur. PI AF-programvarens evne til å kombinere sanntids prosessdata med valgt forretningsinformasjon var nøkkelen til prosjektsuccess. Presentasjonen vil omfatte integrering av viktige datapunkter fra andre systemer (CMMS, Produksjonsallokering, etc.) og fordelene og begrensningene for bruk av PI Asset Framework-programvaren med integrering av PI WebParts på SharePoint. Det vil illustrere hvordan programvaren bruker rollebasert navigering for å redusere brukerinnsatsen ved å la dem søke etter sanntidsdata gjennom en trevisning i stedet for å lete etter et tagnamål. Det vil også diskutere beste praksis som brukes for å sikre langsiktig bærekraft av løsningen gjennom frontendedefinisjonen av styringsprosessen. Denne prosessen definerte et standard navnekonvensjon for å omdøpe alle tagger og elementer i den sentrale serveren og utvikle standardiserte maler og grafikk for å gjøre data mer tilgjengelige for alle brukere og sikre kontinuerlig dataintegritet. Til slutt viser presentasjonen hvordan PI AF og PI WebParts gjør det enklere å slå sammen sanntidsdata med bedriftsdata for ett stopp for å kjøpe informasjon. Forbedre sanntidsprosess og driftovervåking Petronas Carigali er PETRONAS-armen som er ansvarlig for oppstrøms aktiviteter fra reservoar til terminal. For å sikre at operasjoner, prosesser og aktiviteter gjøres effektivt, må alle data involvert være pålitelig, god kvalitet og sanntid. Denne presentasjonen vil forklare forretningsutfordringene og hvordan PI-systemet bidro til å håndtere disse utfordringene. Nylig implementering på Erb West Platform (Øst-Malaysia) ved hjelp av sanntids prosessdata, Safe Operating Limit og Critical Operating Limit-initiativer ble utført automatisk i sanntid, noe som gir betydelig avkastning når det gjelder besparelser i arbeidstimer og uplanlagt nedstengingstid. Estrategia de Ventanas Operativas en PEMEX (Strategi for drift av Windows på PEMEX) Petroleos Mexicanos (PEMEX) er den største bedriften i Mexico og et av de største oljeselskapene over hele verden. I en av sine divisjoner, Pemex Refining, har produksjonsavdelingen besluttet å lansere implementeringen av programmet Ventanas Operativas (VO) på sine arbeidsplasser, slik at riktig drift av anleggsutstyr vil forbedre driftssikkerheten i produksjonsanleggene. Corporate Information Technology divisjonen har utviklet et søknad med en bedriftsvisjon som omfatter alle områder av selskapet, ved hjelp av toppmoderne teknologi og fullstendig fokusert på å møte behovene til bedriftsbrukere. Erfaring med PI Cloud Connect For JV Data Sharing Hess Corporation er et globalt energiselskap engasjert i leting og produksjon av olje og naturgass. I Mexicogulfen (GOM) er Hess operatør av, og har arbeidsinteresser i, seks store dypvannsfelt. Tre felt er for tiden i utvikling. I 2006 ble Hess introdusert til Industrial Evolutions WellShare service av JV partner Shell. Den bruker et PI-systemgrensesnitt for å samle data, transformere og administrere det, og servere det ut til en mottaker. I dette tilfellet ble et PI-til-PI-grensesnitt brukt til å samle inn data fra Shells GOM PI-systemet over et sikkert VPN i henhold til Shells sikkerhetsstandard, forvandle det til Hesss standard og betjene det til Hesss PI System i henhold til deres sikkerhetsstandarder. Etter første suksess utvidet Hess bruk av WellShare til tilleggsmidler og JV-partnere i Nordsjøen samt GOM, hvorav noen ikke var PI System-brukere. De la WebTechnician fra Industrial Evolution til å dele sanntidsdata fra de samme oljefeltene med tredjeparter som tilbyr eksterne tekniske tjenester. Mens VPN-teknologi og ytelse var akseptabelt for Hess, presenterte den en støttebyrde for organisasjonen. Da OSIsoft kunngjorde PI Cloud Connect CTP, bestemte Hess å utforske sin egnethet. Deres ide var å erstatte en av PI-til-PI-grensesnittene for å unngå bruk av VPN. Hesss forretningsmodell vil fortsatt være å bruke WellShare - med andre ord vil Hess publisere PI System data til Industrial Evolution som abonnent, ikke JV-partner. Hess vil fortsatt stole på Industrial Evolution for å publisere data de mottar til autoriserte JV-partnere, noe som tydelig angir Hesss kommersielle og tekniske støtteansvar. Denne presentasjonen beskriver Hesss første opplevelser ved bruk av PI Cloud Connect i et produksjonsmiljø. Det vil løse problemer som enkel implementering, sikkerhet, ytelse og støtte. Implementering av PI-systemet som verktøy for generering av driftsrapporter Produksjonsfelt i oljeindustrien har modernisert sine kontroll - og målesystemer for å gjøre måle - og driftsdata mer pålitelige. Imidlertid er det viktig informasjon i feltet som samles manuelt gjennom fysiske rapporter selv når det er automatisering. Time spent by engineers in gathering, setting up and sending this data causes loss of effort and time better spent on analyzing the information. The Operational Management Information System (SIGO for its acronym in Spanish) was developed to optimize operational information management for upstream oil fields in Rubiales and Quifa It takes advantage of automation infrastructure installed in the field and uses the PI System as a tool for operational information management, assurance and visualization as well as reporting and monitoring process indicators available in crude oil production fields. The PI System integrates a PI Server with a data base where historic information gathered manually in the field, data received from oil production specialized analysis systems and data from SCADA system are stored. PI AF is used to organize the stored information. PI ACE is used to optimize information analysis through advanced calculations. PI Web Parts is integrated with a Sharepoint platform to visualize the information in a web environment. PI Data Link makes the information available in Excel. PI ProcessBook displays in graphics the information and PI CoreSight works as a display manager for the web environment in mobile devices (iPod, iPad or iPhone). Improving Operational Performance with the PI System At Wheelabrator Technologies Inc, efficient boiler operation was not a top priority but in todays operating environment, with falling energy prices and decreased waste volumes, the focus has changed. Finding ways to increase efficiency is now more important than ever. PI Processbook displays and PI Datalink reports are used at each facility to assist the plant operator in keeping the steam flow process variable closer to set point since lost steam flow is lost opportunity and cannot be recovered. Dashboards with visual cues created by using the multi-state symbol function allow for tightening of alarm limits and color sets to signify progressive deviation, and allow the operator to know from across the room whether the plant equipment is running OK or not. If youre Running Green, youre good. Other displays have been developed for facilities with river water cooling systems to monitor real-time temperature and temperature deviation as required by permit. Displays such as this allow operators to make informed and calculated adjustments to the heat loading of the turbine generator (which translates into megawatts and therefore revenue) instead of making excessively large load reductions to ensure permit compliance at the expense of lost revenue. The PSION Workabout Pro3 handheld has been rolled out to replace the field operator clipboard. Before the PI System came to Wheelabrator, the operations department would make rounds of equipment with a sheet of paper and a clipboard. That data was not always able to be used in a value added way because it was difficult to piece together trends and inspection data. Flash forward to today. Operation rounds are performed on the handheld, the information is date stamped, the operators name is recorded and it is all stored in the PI System. This makes viewing, trending, and using the data easy, fast and comprehensible. Innovation around the PI System: Paris Water Supply Veolia Environnements subsidiary, Veolia Eau dIle-de-France, manages water production and distribution for the Greater Paris water authority, Syndicat des Eaux dIle-de-France. SEDIF serves 4.3 million residents in 149 municipalities in the Paris region. With close to 750,000 m3 distributed every day, it is the largest water utility in France and one of the first in Europe. Nearly 240 billion liters were consumed in 2012 through a network of pipes 8,230 km in length. In 2011, SEDIF renewed its agreement with Veolia Water the new contract introduced a concept of responsibility and a useful innovation with: ServO. a single monitoring and operation center designed to control risk, to manage customer response, to optimize water production and monitor network distribution. PEEE: to reduce energy consumption and manage emissions and discharges ensure a zero carbon service, a world first for a water service Qualio: to implement water traceability, based on the food and beverage industry model, in order to guarantee customers continuous control of the sanitary quality of their water Teleo: third-generation remote meter reading, enables users to precisely monitor their consumption, thus facilitating leak detection ResEcho: a sophisticated network monitoring and asset management resourcethat enables Veolia Water to maintain an unusually low rate of leaks on all SEDIF water lines The PI system is an important part of the information system of Veolia Eau dle de France. It has become the repository for all real-time measurements. The PI System is both a Big Data and a management system for events in real time, which allows the user to address a multitude of functional requirements for operators and provide interoperability. Monitoring Implementation for Measuring Points and Pipelines of PEMEX Pemex Management of Transport and Distribution of Hydrocarbon North Region has responsibility that extends from the north of the country starting in Burgos Production Management and ending in Veracruz Production Management. Currently PEMEX has a pipeline network of 648 km comprised of gasoline pipelines and oil pipelines, some classified as critical. It also has oil and gas measurement points for custody transfer. Geographic dispersion along with the lack of communication infrastructure, information systems and storage at measurement points and on pipelines hinders proper management of transport and distribution processes by not permitting delivery of continuous and timely information in the administrative offices to allow decisions effectively. To support a strategy for the effective management of hydrocarbon transport and distribution processes a real-time monitoring system was implemented, one that would provide for supervising operating variables of six oil pipelines, three gasoline pipelines and nine measurement points. Data acquisition was performed using Modbus PI interfaces which, through the Pemex network, acquire information from flow computers, flow meters and pressure transmitters installed in facilities and pipelines from GTDHRN. Integration of all variables was done in the local PI Server, where alarm and status variables were created. For data exploitation, display graphics were designed, and monitoring portals for executive users and reports were developed according to customer requirements. Implementation of real-time monitoring of operating information is a tool that enables analysis, evaluation and decision making. Among the benefits obtained were: preventive reaction to unwanted events such as leaks and interruptions pumping real-time data exploitation in ways such as production reports and statistical analysis process to acknowledge operating conditions. Optimizing Asset Reliability with the Health Rating Program This is a joint presentation with three speakers. Scott Larson will provide an overview of the SunCoke Energy PI System and discuss how SunCoke Energy is leveraging their enterprise agreement (EA) to support this program Jason Crum will provide an overview of the coking process and ovens and talk about the overall program objectives and development Wes Alderman, a field oven inspector, will talk about using the PI Manual Logger application in oven inspections and the resulting time savings and efficiencies already realized in the short time the program has been in place. Product Quality Giveaway Reduction Program Supported by PI System The giveaway gap is the difference between the quality of the product and the quality specification. It means that the manufacturer produces better quality product than needed, which has an effect on the cost (lower yield, more energy, higher temperature, more reflux, etc.). The PI System has a first class tool set which can provide professional support to quality giveaway reduction efforts. The most important step is to know (first realize, then monitor) how big is the gap between current quality and the specification. Registering quality specifications to the PI Server and gathering all matched quality information (lab measurements, on-line analyzer values, soft-sensor quality calculations) in Asset Framework helps to filter out off-spec qualities, helps in reducing quality giveaway, ensures easier access to this data for a report or data analysis and provides information for additional procedures. An advanced practice--the so-called Tank Quality Integration--is a very useful application what can provide up-to-date information about key qualities in the product tank. This presentation will explain how MOL, Plc. is using PI System applications and how much they have saved with quality giveaway reduction programs. Realizing Business Value from PI Manual Logger Applications Plant facilities are packed with signals distributed all around the plant. Some of these signals make it to the control room through the different control systems. Others are manually collected, and managing them usually represents a tough challenge that consumes time, cost and effort without achieving the required data accuracy, reliability and quality. Plant operations and other business functions at Methanex requested a solution to collect, archive, visualize and analyze the manually-collected data in an efficient and reliable manner similar to the real-time data managed by the PI System. It is of equal importance to minimize time between data collection and its availability to business network users. Achieving this would improve the quality of the problem investigation process and support the business decision making in a timely fashion. However, these benefits could only be achieved after overcoming the challenges associated with these kinds of tasks dealing with the management of manual data interface. PI Manual Logger (PIML) system (including PIML client and mobile applications) combined with data logger handheld devices equipped with bar-coding capabilities were used. These allow data collection and interface to the existing PI Server. It presented a reliable solution, provided significant cost and effort savings and significantly reduced the time required to make the data available. Now there are 4,500 manual daily readings available for all business stakeholders and PI System clients that use this solution. Plant manual data has become part of the PI System data platform, which enables plant users to benefit from the standard PI System features and make business decisions in real-time. Smart Batch Monitoring with VBA Improves Problem Identification Smart batch monitoring is an effective way to easily identify problems as they occur, and provides engineering and operations valuable time to react to the batch and prevent the problem from propagating into more problems downstream, as well as to provide better visibility for predictive scheduling. Trending problems can also identify necessary maintenance work while the problem is minor, allowing maintenance work to be done on schedule and before major failures. This concept is useful for almost any operation, but is especially useful in batch plants with numerous different recipes which it would be unrealistic to update manually. The PI ProcessBook display uses PI Batch and visual basic coding to show characteristic trends, such as temperature, pressure, progression of reaction, and steam usage, for each batch currently being produced. These trends are overlaid on the recent history of this products production in this vessel using a batch group, and then have a golden batch identified by engineering added to the batch group using Visual Basic (VB). Small deviations such as temperature or a higher than normal steam usage can be indications of a problem such as contamination, off-track reactions, and equipment fouling or fatigue this display makes these deviations obvious. The use of VB coding allows the display to run untouched in the control rooms 247 with operators able to constantly monitor the batches at a level of detail necessary to reliably and quickly identify problems while they are still small. The code refreshes the display every time a new recipe is set to a production vessel in the DCS by changing the product being displayed to match the one that is now being made, and changes the golden batch to this products ideal instance. Supporting Sustainability Operations with Water Management To efficiently manage water operations through discharge of water to the environment is one of the biggest challenges in the Yanacocha mining operation. Unlike at most other mining operations, where Yanacocha operates there is a rainy season seven months of the year, with frequent rain throughout most of the year. Greater restrictions on our distribution, processing and water discharge to the environment mean that these processes become more costly as Yanacocha areas of operations have expanded. The challenge is even greater when the company stores excess water during the rainy season to be distributed and discharged during the dry season as part of its social responsibility. Captured rainwater enters the mine system and requires proper treatment for discharge to the environment. At least 5 million m3 enter the system by rain annually but operations needs only 2 million m3. The total volume of water treatment and discharge to the environment annually is about 32 million m3, with power consumption that exceeds 30,000 mWatts h average. The PI System centralizes data about water entering the system, provides the data to software simulation for the water balance and estimates of treatment, centralizes data from water quality laboratories and laboratory processes for estimates of the efficiency of water treatment processes, and centralizes data on power consumption. This enables Yanacocha to align strategic planning for sustainability and social and environmental responsibility with planning for growth. The PI System, Remote Diagnostics and the Collaborative Supply Chain Presenter: Nick Ward. OSyS, part of the Rolls Royce Group Condition monitoring is the natural bedfellow for the PI System, but it has traditionally been delivered as a deployed solution or remote service. These access the low-hanging fruit in terms of value, but neither option is ideal for collaboration between Operator, OEM and Service Provider. The advent of OSIsofts cloud-based data sharing breaks down barriers and allows companies to realize the harder-to-reach value of condition monitoring across vendors. The new generation of data acquisition, sharing and analytics means that equipment operators can start to move towards a truly risk-managed approach, based on the increased confidence in the predictability of the equipment health and performance. Rolls-Royce is working towards a model of 90 predictability with their PI System. The Power of Data - Different Users, Same Benefit Presenter: Yuelong Su. China National Bluestar (Group) The China National Bluestar (Group) Co, Ltd is centered on the chemical industry and focuses on new chemical materials and animal nutrition. Bluestar has developed rapidly and grown into one of Chinas most successful chemical companies. To stay competitive, the company and subordinate enterprises used the PI System to provide the real-time data infrastructure and collaboration tools they need to meet key challenges. The users explain how they applied and benefited from their PI System. These users include Bluestar site engineers with different roles and company headquarters managers in different departments their applications based on the PI System include tank management, overall unit effectiveness analysis, control method simulation, statistical quality control (SQC) and implementing six-sigma initiatives. Though applied by different users, these successful applications have the same benefit for the whole company: optimizing production and increasing energy efficiency. This is the power of data derived from use of the PI System. Using PI System to Aggregate, Analyze, and Visualize Data Presenter: Robert Lane. Washington River Protection Solutions (WRPS) Washington River Protection Solutions (WRPS) is a Prime Contractor to the Department of Energy (DOE) responsible for the Tank Operating Contract (TOC) on the Hanford Site near Richland, Washington. WRPS is responsible for care and maintenance of the Waste Storage Tanks at Hanford. The Waste Storage Tanks contain chemical and nuclear waste left over from plutonium production since World War II through the end of the Cold War. The Hanford Site is now in a clean-up, preservation, and disposal operation. Upgrading from decades-old, custom-developed solutions presents many challenges that require innovative solutions. Integrating numerous custom and COTS standalone solutions to a PI System-based solution allows for a central data repository that enables levels of analysis, information, and data availability that were not previously possible. Using the PI System for Full-Featured Vibration Monitoring This presentation explores the use of the PI System as the infrastructure for collection and visualization of machinery condition monitoring data, including high-speed vibration waveforms and specialized data presentation formats such as shaft orbits, vibration spectra, bode polar plots, and others. Historically, the vibration data collection rates necessary to allow detailed machinery diagnostics were too fast to entertain use of the plants process historian, particularly when a system was going to encompass dozens or hundreds of vibration channels. As a result, stand-alone vibration monitoring software infrastructures with their own proprietary databases, servers, display clients, security models, and network connections evolved out of necessity to handle the data collection speeds required. However, as the capabilities of the PI System have improved, now surpassing one million tags per second, the ability to treat vibration waveforms as simply another type of time series data in the PI System database has become practical and is already in use at a dozen end user sites globally. Industry Day Presentations Linking Government, Industry and Academia Presenter: Donald Paul,. University of Southern California Professor Paul will discuss dynamics of the technology system, workforce development, and economic growth through the effective interaction of government policies, industrial opportunities, and academic programs as applied to the energy sector. This linkage is of particular importance in the energy sector, where a dynamic balance of economic opportunities, public policy objectives, and environmental requirements are demanded from the system. The combination of large scale infrastructures, large capital deployments, long-lived assets, and technological intensity create the need for a much more integrated and multi-disciplinary approach to effective RD and the development of the future workforce. This is particularly visible in the ongoing growth in the areas of Digital Energy and Intelligent Infrastructures, which represent the major intersection of advancing information and control technologies with the large-scale infrastructures associated with oil and gas, fuel, and electric power. Rapid diversification of electric power generation sources, combined with emergence of the Smart Grid is a specific area demanding new combinations of technology and workforce capabilities. Developing an effective environment to meet these challenges will require forging new and enhanced linkages between government, industry, and academia. Paul will speak on how developing innovative intersections of government, industry and academia is addressing the challenges for energy RD, technology demonstration and deployment, and advancing workforce education and development. The mission of USC Energy Institute is to address these challenges and opportunities by developing partnerships directed at complex, integrated energy systems and infrastructures. USC Energy Institute programs span the range of energy systems from natural resource development to power grid systems operations to the role of consumer behavior in energy efficiency. Programs are focused in particular on demonstrations at scale and providing experimental energy infrastructures to validate advanced energy and information technologies. The USC Smart Grid Living Laboratory was created to utilize the 50,000 person campus community and infrastructure as an experimental mini-city to develop and validate research. Specific research areas include technologies in energy informatics, cyber-security, energy efficiency, human and social behaviors, and electric vehicle system integration. The Marriage of Public Sector and Academia to Attract Companies and Incubate Innovative Ideas Jim Waring, Executive Chairman Co-Founder of CleanTECH San Diego will join Academia Industry Dayto discuss the role a cleantech cluster associationplays in attracting companies and incubatinginnovative ideas across a regional economy. Waringwill discuss CleanTECH San Diegos recent work toimplement the City as a System pilot project in San Diego. Its goal is to deploy data infrastructureacross a citys physical landscape to produce real-time energy usage analytics and recommend energyefficient behaviors based on the data. Ultimately the project will allow buildings to be connected asasingle operational system, which will lower individual and aggregate energy consumption and establishcritical load reduction. The process will also provide rich-data access to researchers and engineers atpartner universities to drive innovation and economic development. Once proven, the goal is to expandand replicate the City as a System model more broadly across the region and other markets. Carnegie Mellon Intelligent Dashboards: From Lab to Market The building environment is an emerging market fordata driven control for energy efficiency and indoor environmental quality (IEQ). Rapid adoption of energy disclosure laws by cities from New York to Seattle, combined with sensor and controller data from building automation systems across the nation, is generating data at a rate the building communitycannot comprehend. OSIsofts PI System data baseoffers a stellar opportunity to absorb these disparate data sources and provide data cleansing, dataanalytics, and real-time communication on multipleplatforms, to instigate action by the building community for energy and IEQ. This presentation will unveil Carnegie Mellons Intelligent Dashboardsatthe Occupant (ID-O), facility managers (ID-F) and citycampus scale (ID-C) that have been taken from labto market testing in collaboration with DOE, DOD, Siemens, university and corporate partners. A Robust Data Management System for Integrating Campus Sustainability Goals Over the last several years UC Davis has been building out a data management system to collect, historize, and report real-time operational data that is crucial for assessing and improving campus energy use and sustainability. The PI System, withits capability to receive data from a variety ofsources, store it efficiently, and provide easy access to data for a variety of clients, serves as thehub forthis system. It provides access to data from numerous campus systems such as building energy and utilities metering and central plant controls and metering. Campus efforts are focused around these initiatives: Standardizing data collection and quality control processes across operational units Automating reporting to help decision makersoptimize operations Collaborating with sustainability research efforts using the campus as a proof of concept Integrating use of campus data into academiccurriculum Expanding the system to incorporate other campus data including occupancy-based building lightingcontrols, HVAC control systems, smart thermostat feedback, and campus water and wastewater systems Developing a cutting-edge interface for data visualization On the last point, the campus has already deployed a web interface that uses the PI system data from both the building energy metering and a smart thermostat system to provide energy feedback todormitory residents through an energy competition. Work is underway to expand this feedback systemto include interactive building energy usage displays to engage building occupants across the campus. We are exploring more ways to visualize and analyze building energy usage to encourage stakeholders across campus to conserve energy. Ideas on Integration of OSIsoft Into Chemical Engineering Curricula This talk will summarize the status of data education in chemical engineering curricula, providing examples where data are not covered at all to some examples of the efforts of dedicated faculty to including data in the curricula. It will discuss why existing engineering curricula have little coverage of data and why this situation is difficult to change. The last part of the talk will describe efforts at MIT to train chemical engineering students to analyze and make decisions based on heterogeneous data sets ranging in size from small to very big. The talk will describe ideas to integrate OSIsoft into other chemical engineering curricula, including (1) development of insertion modules with clearly defined learning objectives and with varying time commitments, (2) making tutorial visualizations and remote software operation available to universities, and (3) supporting ldquodata advocatesrdquo within specific programs to develop and evaluate insertion modules. Microgrid: A New Hub in Energy Infrastructure Microgrids are small-scale versions of centralized electric power systems. They achieve specific goals of distributed power systems, such as reliability and self-healing, sustainability and diversification of energy sources, and energy efficiency and cost reduction, established by communities in various parts of a large power system. Microgrids integrate renewable resources at the community level and allow for customer participations in the operation of an electricity infrastructure. Microgrids form the building blocks of perfect power systems which promote real-time pricing and demand response, and applications of smart grid to the distributed control of electric power systems. This presentation will highlight some of the key issues with the design and operation of microgrids and discuss the role of recent innovations and, in particular, the significance of smart grid applications to power system operations and control. The presentation will also discuss the development of a microgrid funded by the U. S. Department of Energy and implemented at Illinois Institute of Technology. Global IEEE activities for promoting smart grid technologies will also be discussed. Predictive Analytics for Real-time Energy Management and Dynamic Demand Response The University of California, San Diego (UCSD) is owner-operator of a 45 MW peak load Smart Grid and one of the first adopters of many Smart Grid technologies, including multiple renewable and non-renewable energy generation resources, significant energy storage, and sophisticated monitoring for controlling flex-demand loads for a community of 54,000 energy consumers. UCSD owns and maintains a 69 kV substation, ninety-six 12kV underground feeder circuits and four 12kV distribution substations throughout the 1200-acre campus, and has a master controller and optimization system creating the city within a city. Advances in technology have led to an unprecedented ability to collect and store data. Harnessing the real-time streaming sensor data from modern smart grids via advanced processing, modeling, optimization, real-time forecasting and analytics is a major challenge due to the sheer volume, complexity, and rate of data acquisition. UCSD and PACEs Big Data analytics and energy sustainability researchers are utilizing the existing fully functioning UCSD Microgrid to perform predictive analytics on both the real-time and historical time-series data for developing models for detailed load forecasting, load shaping and demand response, all aimed at driving campus-scale energy efficiency. This data-driven approach aims to leverage the predictive analysis of resource consumption, renewable integration, economic activity and human behavior patterns to improve campus sustainability and efficiency. Building the Perfect Plant: A High Tech Approach to Supporting Low Cost Bioprocessing Plants The biopharmaceutical manufacturing industry is experiencing an inflection point. Competition, price controls, globalization, biosimilars and technology shifts have resulted in a new approach to building and operating manufacturing facilities. nAmgen is on the leading edge of this change, building new more flexible facilities and retrofitting existing plants to be more efficient. The result is a highly automated shop floor with integrated systems that are both faster to startup and require fewer ongoing resources to maintain. To achieve these goals, Amgen is identifying a standard IT architecture and integration approach between MES, DeltaV, OSIsoft, and other systems to streamline the flow of manufacturing data in support of electronic batch records and continued process improvement. The presentation will discuss this architecture and its benefits over traditional IT deployment models previously leveraged at Amgen plants. Enablement and Standardization of Advanced Process Data Technology with EA Sanofis Rare Disease subsidiary Genzyme is embarking on a process data analytics initiative to improve processes in manufacturing. Sanofi is also embarking on a core standardization initiative in Manufacturing Quality Operations, with the goal of streamlining the implementation process for new manufacturing technologies across their network. Nick Alexiades will discuss these initiatives and describe how the recently signed Enterprise Agreement will help enable these and future initiatives within Sanofi. Lean Validation as Part of Standard OSIsoft PI System Deployments at JampJ Within the regulated industries, the OSIsoft PI System can be considered a GMP critical application. In the past, OSIsoft PI Systems were validated according to each sitersquos local procedures. This presentation will explain how JampJ came to a common and lean validation approach across the organization, based on industry and computer system validation standards. It will also discuss how they gradually implement the approach as part of a standardized deployment of the OSIsoft PI System. Custom DeltaV PI System to Provide Plant Redundancy A pharmaceutical facility had lost a batch, a multi-million dollar loss, due to a DeltaV Embedded Historian failure. Review of the feasibility of redundant historians showed options were cost prohibitive. The user needed a robust architecture that implemented available OSIsoft redundancy features and was compatible with the DeltaV Control System. After reviewing OSIsoft and Emerson recommendations, the integrator designed a unique solution to meet business needs. The implemented Enterprise PI for DeltaV using Redundant Interfaces, PI High Availability and Virtual Servers, then completed this project during a brief plant shutdown and parallel with multiple site enhancement projects. This required extensive design, accelerated deployment, and cross-functional collaboration. The resulting solution prepares site for future expansion and reduced risk of batch loss. At Kellogg, Savings Are in the Air This presentation is based on significant potential savings realized after analyzing historical PI System trends which showed that inefficient air compressor control systems operation caused excessive electricity consumption. Conservatively estimated savings potential easily justified new control systems integration. After project completion, new energy reduction opportunities were realized based on improved system trending in the PI System. A new project captured these additional savings as well as justifying custom incentive pay back from local utilities. This resulted in repeatable total electrical reduction of 2.65M kWhyear and a one-time payback from the local utilities of 265k, far exceeding the initial savings calculations. Path to a Unified Data Infrastructure This presentation will show the path Biogen has taken since moving from pre-2010 PI System to their current, unified data infrastructure. Biogen has moved the role of the PI System from a data historian for compliance reporting and trending to a problem solving and problem-avoidance tool. The presentation will discuss ways they used Asset Framework, ACE calculations and Web Parts in their PI Systems for cGMP, Pilot-Scale Manufacturing and Facilities. The PI System makes scale-up from product development to manufacturing easier, monitoring facilities to provide pro-active maintenance and keep facilities in a compliant state. How Corning in Kennebunk Uses PI System Data Presenter: Ryan Dube. Corning Life Sciences Corporation In this presentation, I will provide a number of examples that show the variety of applications for PI System tools such as PI notifications, the PI Ping interface, PI SQC charts and alarms, and more. The focus is on PI SQC and how utilizing SQC charts and alarms can help manufacturing facilities not only bring manufacturing processes into control, but it can also help technicians and engineers predict when problems are about to occur - providing an opportunity to be proactive in preventing problems with the machine before they even occur. The presentation also touches some on how OSI PI can even be used in IT to monitor servers, IT assets and more - an application of the PI System that often goes overlooked. RtReports - A Bristol-Myers Squibb Perspective This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Value from Data - applying MVDA for real-time monitoring and prediction. Presenters: Speaker: Domenic Schimizzi, Genentech Petter Moree, Umetrics This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Curtailments, Stoppages and Other Ways to PI Event Frame the Wind Collecting and analyzing data from 60 wind farms can make any data mining task daunting. For one aspect of data that gets seen by several areas of the business, Iberdrola Renewables has added PI Event Frames to help bucket these occurrences and start making it easier to analyze implications of these events. Curtailments are a major factor for wind energy producers in the US. Use of PI Event Frames that trigger based off of a PI Attribute (utilizing regular PI Data) has made it possible to quickly draw out more information. By creating PI Event Frames for Curtailments, Iberdrola quickly gets an estimate of power lost during the previous month (or even the last week) whereas before it would take a team and multiple days to get to the same point. While the data still needs to be scrubbed, having the initial information available in near real-time is a huge step forward and we are still finding new ways to utilize the data. ACE is used to generate the Event Frame, and in doing so some back-end calculations are run as the event frame is created and closed in order to help get expected losses over the time frame. As more people at Iberdrola Renewables start using this, they expect to add monetary calculations in real-time using the pricing data available in the PI System. Currently this information is utilized by the Performance Reporting Group which looks at the costs of curtailments and ensures that Iberdrola is getting paid correctly during these events and the Technical Division which looks for ways to improve overall operational efficiency. As Event Frames are proving useful, Iberdrola expects to add stoppages to the AF Server. Trends in Solar Performance Monitoring This presentation will address performance monitoring trends in the rapidly growing solar power industry. As the industry matures from small rooftop applications to large utility-scale central power stations, requirements around plant monitoring and performance optimization have also grown. Content will include a state of the industry overview followed by a discussion of why the PI System is needed and how it is being used to meet the scale and velocity of project additions in North America and throughout the world. The presentation will conclude with case studies using PI System-based monitoring to perform automated fault detection of commercial and utility-scale PV power systems. In addition, the unique challenges of providing a multi-tenant application suite (multi-customermulti-user) will be addressed and how to think about a scalable and secure architecture to meet this complex requirement. Fleet Optimization through Process Information Monitoring power plant performance in real-time is essential to stay competitive in market based bulk electric system. Maintaining equipment reliability with dwindling resources, regulatory and environmental compliance are some of the challenges electric utilities face today. DTE Energy has been addressing these challenges with effective use of technology turning data in to actionable information. Using its lsquoTechnology Frameworkrsquo as a roadmap, DTE Energy has implemented several layers of technologies with PI System data as their backbone. The amalgamation of people, processes and systems at the fleet-wide monitoring center using real-time operational data, predictive monitoring and market interface is helping DTE Energy to meet these challenges. Value of Asset-based PI System in Power Generation This presentation demo will show the value of PI AF, PI Event Frames, PI Notifications, and PI Coresight within the context of a real world Power Generation scenario. Technology Innovation and Condition Based Monitoring The power generation industry is under pressure due to increased competition and market uncertainty. Plant staff are developing new, innovative ways to monitor power plants by leveraging technology to improve safety and efficiency. Exelon Nuclear is the leader in developing new and innovative technologies and better utilizing plant experts. One such method is their Advanced Monitoring Technology that monitors plant performance in real time with the use of the PI System that helps plant staff to make timely decisions. Real-time monitoring coupled with diagnostic tools reduces the burden of data collection for plant experts. Staff spend their valuable time in data analysis and decision making. The Exelons Advanced Monitoring program has three major elements: 1) On-Line Monitoring 2) Wireless Equipment Monitoring 3) Prognostics Health Monitoring The On-Line Monitoring program is an analytical tool to identify plant anomalies at incipient stage. The tool pulls real-time data from the PI Systems data historian and performs analysis. Appropriate staff is alerted to any anomaly identified by the tool via email. This program proved to be a paradigm shift for plant monitoring and trending. The wireless equipment monitoring has provided a new avenue to add smart sensors on plant assets. The additional sensors have helped improve plant safety. The technology has paved the way for Condition Based Monitoring. The ultimate goal of this effort is to optimize preventive maintenance program. The additional sensors will provide opportunity to utilize PI Asset Frame and PI Coresight. The PI notification will be used to warn plant staff of changing plant condition. Exelon is collaborating with OSIsoft to effectively utilize PI advanced features. The Prognostic Health program is an innovative technology to predict equipment health. This will be great tool for Knowledge Transfer and retention and troubleshooting. Analyzing Outage Impacts Using PI Event Frames and Versify NaturEner is a wind developer and operator with 399 MW of operating wind in Montana. These farms operate in relatively remote areas of the grid, and can therefore be constrained by regional transmission system outages. These outages can be caused by a variety of entities, and can have significant financial and operational impacts. Therefore, it is of interest to NaturEner to monitor the frequency, magnitude, and causes of these events for the purpose of monitoring the impact and determining if mitigation is required. NaturEner is currently utilizing the Versifyrsquos V-Performance Outage Management application in the system to log and manage turbine and wind farm outage events. These outage events are fed into PI Event Frames using Versify APIrsquos that leverage PI Enterprise OLEDB and OPC drivers. Using these event frames combined with operational data managed in PI, NaturEner builds queries and reports that easily summarize and categorize the energy lost to planned and unplanned outages. In addition, these event frames are used to evaluate operational procedures, such as the re-energization process after an outage, where data is queried and reports generated to assess plant performance. Understanding the impact of outage events on generation is essential for NaturEner in maximizing profits from our wind assets. NaturEner is a renewable energy company that has developed hydro, wind and solar utility-scale renewable energy projects in North America and Europe since 1999. NaturEner currently operates solar and wind power generation projects and has invested more than 800 million in North America since 2006. Alarm System for Structural Monitoring of Itaipu Dam Using PI System With the increasing use of technology for data analysis in complex systems, as often occurs with dam safety, it has become plausible to implement a system which performs analysis of the measuring instrument data and generates alarms concerning the structural situation of the Itaipu Binacional dam. In Itaipu, there are approximately 2,400 instruments, of which 270 are totally automatic, with readings taken every 30 minutes and positioned in key blocks of the dam. The readings from these instruments provide the data that is stored in real time in the PI Server and remains available for reading and analyses. The data stored in the PI Server is analyzed with the objective of generating alarms representing the structural situation of the Itaipu dam. For this data analysis and generation of warnings the technique applied is that of the Fault Tree Analysis (FTA), a logical and deductive process that, starting from a predefined and undesired event, seeks the possible causes of said event, creating the relationships through simple logical operators (AND, OR, etc.). The failure tree structure, due to its hierarchical characteristic, is implemented by the use of the PI AF. The relationship of the logical operators is represented in the PI AF through the Formula option in the Data Reference of the Element. The nodes that represent the instruments are linked to the corresponding Tags in the PI Server through the PI Point option. The PI Notification is employed for sending the alarms, which define the elements of the PI AF that shall represent the faults and create the Triggers and alarm criteria, in accordance with the attributes of this element of the fault. Those responsible are previously registered in the system, listed in the tab pertaining to Contacts of the PI System Explorer, and receive an email with a description of the fault that occurred and the principal information to support the taking of decisions. Use of PI System in the Electric Energy Management System of Brazil The user will explain the architecture of the new EMS Network ( REGER) in use by the Brazilian Electric System Operator (ONS) and the use of PI Systems to support real-time decisions, post-operation monitoring and analysis of problems in the generation and transmission system. The Automation of Converting SCADA EMS Displays to PI WebParts The System Operations Department of Pepco Holdings, Inc. had a homegrown web server that provided users access to near real time SCADA data and the ability to view historical data using EMS display formats. After migrating to a newer release of the EMS, corporate users no longer had access to these displays. The PI System had been used to store EMS historical data for several years however, users had to use a manual process for building ProcessBook displays andor DATALINK to view historical and current data. Corporate users were accustomed to viewing SCADA data with the look and feel of EMS displays on the web. They were able to view historical data with defined schematics of a one line diagram and navigate throughout the website. Obviously, the majority of corporate users do not have access to the EMS. Engineers and interested individuals wanted to continue to see and use this data for troubleshooting, research, decision making, studies and planning. A centralized approach was needed to allow streamlined administrative maintenance, easy access and navigation, user validation and authentication. With this business challenge in mind, a technical solution to the problem needed to be addressed. With EMS licensing and compliance limitations, a PI System with PI WebParts, and MS Sharepoint was the obvious answer. Real-time data that was stored in the PI System needed to provide a less challenging way of being utilized without having to use OSIsoft tools to build and format this data so that it would be useful. An automated process to take EMS displays along with system specific data link definitions and translate or convert this information to a format usable by PI WebParts was the solution Real-time Event Detection of Microgrid Dynamics The University of California, San Diego (UCSD) microgrid control system includes PMU measurements at the point of common coupling to the area power system, San Diego Gas and Electric. Measurements include data on both sides of the 69kV12kV main transformers as well as from buildings located at various points on campus including the Scripps Institution of Oceanography located the far western edge of the campus. The PI System collects real time data from the PMUs, computes real time angle differences and automatically detects real time events. This presentation outlines an event detection mechanism based on adaptive moving average and rate of change filtering as well an on-line method of automatically determining the dynamic characteristics of the microgrid. Results show that the microgrid has less than desired damping at certain critical frequencies. A control system is proposed that could dampen the oscillations using battery-based local energy storage systems on campus. PI AF amp Notifications in Distribution Operations Presenter: Khoa Vo. San Diego Gas and Electric SDGampE Electric Distribution Operations utilizes the PI System to integrate the distribution SCADA with data on wildfires, lightning strikes, and weather to provide real-time situational awareness for control room to board room. This presentation will show how the PI System--specifically PI AF, Coresigth and PI Notifications--dramatically changed the way that the utility runs distribution operations by allowing SDGampE to: Monitor all real-time and historical telemetry reads from circuits, switches, breakers, banks, etc. with PI Coresight, PI ProcessBook, smart phones Monitor status of switching operations and provide proactive remediation capabilities Send real-time notifications to assigned groups to correct any issues, such as telemetry reads, device status, communications, etc. in early state Plan, manage and monitor load curtailment in the event of crisis Play-back events and provide lsquorecreation of incidentsrsquo or lsquosequence of eventsrsquo for root-cause analysis or identifying failure of distribution assets Provide early-warning of natural events or disasters (storms, wildfires, etc.) Use advanced weather instrumentation to monitor real-time wind direction, wind speed, wind gust, temperat ure, and relative humidity The PI System has enabled SDGampE to significantly improve the efficiency and effectiveness of electric distribution operations monitoring and awareness and ensured customers safe, reliable energy and improved quality of life for all of the SDGampE service area. Web-based Visualizations with the PI System at PGampE Electric Distribution In 2013, PGampE invested in a Fault Location Isolation and Service Restoration (FLISR) system across the electric distribution system. To allow multiple operation and engineering groups to monitor and troubleshoot the FLISR system, PGampE leveraged the PI System to capture SCADA data in real-time. On the front-end, PGampE built a web-based HTML5 interface that allows users to monitor real-time single line diagramsdevice trends in the PI System through their browsers and email specific links to colleagues. On the backend, the PI AF database integrates with PGampErsquos Distribution Management System (DMS), allowing any connectivity and asset changes in DMS to update circuit configurations in the PI System, reducing long-term maintenance. This presentation will demonstrate PGampErsquos PI web portal, including the HTML5 user interface and integration with DMS. DobleARMS and PI System Bring Standards-Based HV Asset Management to TVA The Tennessee Valley Authority, plans, builds, operates, and maintains, part of the electric power system in the United States. This network comprises the keystone of all other critical infrastructures in the United States. The equipment and subsystems that comprise the power system are aging at an alarming rate. The 500,000V power system, which makes up the backbone of bulk transmission system, will turn 50 next year and extend the problem of asset revitalization to these capital intensive assets. This comes at a period of shifting load patterns and changes in generation strategies that are calling upon these aging assets to perform to their limits. Additionally, increases in costs to the utility as well as a host of other drivers are making the competition for capital resources fierce. To optimize both its CAPEX and OPEX resources, as well as better understand and mitigate risks associated with management of its transmission assets, the TVA is moving towards a near real-time asset health process. To help enable this vision, TVA is partnering with Doble Engineering Co. to pilot their dobleARMS solution. dobleARMS, through its use of OSIsoft technology to include the PI System and AF-SDK, provides a method for standards based integration that leverages information from disparate enterprise datasets, online monitoring, and protective relaying that eases the burden of integration while providing actionable near real-time information about its assets. The goal is for this information to be used across the enterprise, from allowing the system operator additional insight into the health of the transformer to helping the planner to optimize OPEX and CAPEX work and up to the executive to better manage asset risk through replacement strategy. Welcome, Logistics, and Agenda Review The session opening will establish context and prepare attendees for the day. After a brief welcome, the theme of quotDecision Ready in Real-time: Enabling the Shale Revolution with the Power of Data and Informationquot will be discussed. The agenda will be reviewed with the associated logistics, concluding with an introduction to the session keynote address Proactive Critical Rotating Equipment Monitoring for Upstream Safety and Production Operations Talisman Sinopec Energy UK has used the PI System since 2001 when it was first installed for surveillance of a single subsurface well. Over the last 13 years, their PI system has evolved to become a strategic element of Talisman Sinopecrsquos technology landscape as an integration and applications infrastructure, validated with the signing of an Enterprise Agreement (EA) by Talisman Energy in 2012. There have been many PI System-based applications and solutions added over the years in the areas of process and well surveillance and single source data to hydrocarbon, chemical, and corrosion systems. However, one recent application based on the PI System has delivered significant business value around proactive monitoring of critical safety and production rotating equipment assets. This presentation will overview the history, implementation, and benefits of Talisman Sinopecrsquos Rotating Equipment Excellence Programme (REEP). It is focused on improving reliability and integrity, and reducing production losses from critical rotating equipment failures. Currently, REEP monitors 100 pieces of critical rotating equipment. The presentation will focus on the role the PI System plays, including use of PI-AF, PI-ACE, PI-PE, and PI-Notification these will be illustrated by screen shots and data flow diagrams. Realizing Value with PI Coresight in Heat Recovery This presentation will describe how SunCoke Energy has been able to use the flexibility gained with an EA to provide access to PI Coresight for all their users. It will describe the SunCoke PI System and discuss the EA signed in 2012, and then get into how Middletown Operations utilizes PI Coresight to bring value to the business. The operations section will cover how different PI Coresight displays were created to review oven push cycles and how steam and power generation is affected, as well as how the system is used to track and order chemicals for the plant. PI Coresight is utilized in operational troubleshooting of issues, training of new operators and enabling other plants to compare real-time data. PI System for Reliable Environmental amp Sustainability Management Corporate sustainability strategies are implemented and progress measured through sets of key performance indices (KPI) such as emissions of greenhouse gas (GHG) and other pollutants that are of interest to stakeholders. With the financial risks caused by GHG emissions cap and trade programs, companies must closely monitor the process data essential to accurately quantify emissions. Reliable real-time data from the PI system can help companies to minimizemitigate business risk associated with measuring and reporting environmental performance. In addition, many environmental regulations set short-term (e. g. hourly) limits for emission source quantification that can be effectively tracked via process data available in the PI system. Most plants monitor and track emissions indirectly with process data parameters andor extract process data to calculation tools, such as Excel spreadsheets, to determine release quantities and demonstrate compliance. If there are quality issues in the original PI process data due to instrument malfunctions, process shutdown, etc. engineers must manually correctreconcile the data for compliance demonstration. The process may require significant effort and can delay generation of necessary reports. In order to provide reliableactionable data to enable plant environmental teams to properly and quickly respond to any excursion or deviation of environmental limits, the source data must be validated and reconciled in real-time. The ldquostatusrdquo of the critical PI tags applied for environmental monitoring and tracking often can be validated based on other process operation indicators and the results are stored as digital state status tags. After the status is established, a filtered or reconciled PI tag can be generated using the good raw data or a reconciled value based on process knowledge. This has the effect of eliminating or minimizing variable discontinuities and proffers the most accurate available information for environmental monitoring and decision making. With reconciled PI data, subsequent environmental calculations configured in PI performance equations can be executed to provide real-time environmental reporting data. The resulting environmental data are most reliable for the development of meaningful sustainability strategies. The readily accessible data also allow companies to actively and immediately compare against regulatory limitations and quickly take actions to mitigate problems. This real-time data validation and reconciliation process has been successfully implemented at a large gas processing plant in Qatar, which requires various reports, which involve continuous emissions monitoring systems and flare events. The environmental team is able to generate reliable environmental emission reports with 100 reconciled PI data. This data treatment process can be applied by all companies using the PI System to general reliable data for all critical business and environmental measurements. Time and Depth Based Analytics and Visualization in the PI System In upstream OampG the performance of depth-based analytics and visualization is a critical function for subsurface activities like drilling and well performance optimization. While some depth-based data sets require WITSM-based applications and solutions to perform full analytics and visualization, there are many situations where the PI System coupled with Microsoft BI tools can provide insight into subsurface data. This short presentation will discuss techniques to transform time-depth-measurement data sets to depth-time-measurement data sets that can be used for analytics and visualization. Examples will be discussed to illustrate key concepts and techniques. Integrating Predictive Models and Microsoft BI - A New Age in PvA Analytics While the ability to integrate future data from planning models as tables in PI-AF and do PvA analytics and visualization, the functionality and capability has been problematic. With the forthcoming release of future data storage in the PI Data Archive, coupled with advances in the PI System data access capabilities and Microsoft BI tools, the ability to perform model integration and plan vs. actual (PvA) analytics and visualization is improved significantly. This short presentation will discuss ideas and concepts of advanced PvA analytics, visualization, and BI using future data, PI-PSA, and Microsoft BI tools such as Power View and Power Pivot. Fundamental to doing this is using the underlying PI-AF to help organize, contextualize, and abstract the future data from an external model (Plan) and actual data. Update on Development of Key PI System Interfaces for Oil and Gas Effort continues on development of two critical interfaces used in the upstream Oil amp Gas industry: PI Interfaces for CygNet and for Wonderware Historian (previously known as Wonderware InSQL). Also, thoughts around collecting data from the WITSML will be discussed and augmented by Industrial Evolution, who will share their experience with WITSML data. This brief session and associated discussions will provide an update on high level functionality, development efforts, and status of each. The goal is to provide awareness and transparency for those interested and to solicit input about the interface functionality to support decision making. Using Data and Information to Help Solve the Sustainability Equation Industry and government forecast project global energy demand to rise by almost 40 by 2030. This unprecedented opportunity for the OampG industry is matched by heightened scrutiny and growing demands for transparency from government, investors and consumers. In turn, more OampG industry participants are collaborating closely with their respective suppliers, partners and contractors to address these multiple evolving challenges. Many companies now view their sustainability strategy as an engine for new ideas to bring to this conversation to deliver on goals to improve productivity, grow shareholder value, reduce business risk and control costs. This panel will discuss the role data and information play in the sustainability equation as it relates to topics including pipeline safety and integrity, water use and impacts from fracking and emissions management. The panel will be moderated by Mr. Andrew Fanara, OSIsoftrsquos Sustainability Market Principal who will be joined by thought leaders sharing their expertise in a facilitated panel discussion and QampA with the audience. Attendees will gain valuable insight to better understand how to leverage their PI System to support their companys sustainability initiatives. Report of Findings: Collaboration with Industry Partner OSIsoft in Development of Energy Management Technology Learning Laboratory for Academic RD Purposes Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College will provide a review of 3-year findings with specific attention directed to invention of an Energy Management Technology Living Learning Lab (EMT-L3) developed in close collaboration with industry partner OSIsoft. This review will consist of examination of the instructional design plan, scope of work required to accomplish goals, examples of activities, statement of best practices and lessons learned. In sum, the education training of a highly-reliable and proficient Smart Grid workforce is strongly dependent upon identifying the occupational tasks to be accomplished and the knowledge, skills, and abilities needed to perform those tasks. With support from OSIsoft the EMT-L3 allowed professors and students to work with industry as co-constructive partners to learn precisely what is required of the STEAM professional in the real-world setting. It is estimated that by year 2030 that 13 Trillion dollars will be invested in global energy infrastructure and 1.5 Trillion in the United States. The question is whether these monies will be spent on replacing existing facilities or a modern smart grid. The smart gird model is generally envisioned as a complex digitally-enhanced network of systems involving the convergence of three major industry clusters: Electric Power Utilities, Telecommunications and Information Technology. Its success dependent upon the adoption of interoperability standards to create a national end-to-end electric power delivery system that is fully-automated, reliable, flexible, self-healing and secure. Recognizing this challenge, the Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College with support and funding from U. S. Department of Energy and IEESs industry partner NextEra EnergyFlorida Power Light has developed and tested curriculum instructional models for Smart Grid workforce education training. One of the primary achievements of the initiative was the development of Living Learning Labs to provide students with performance-based experiences to maintain a smart electricity delivery system, with due diligence given to issues important to energy generation, power transmission distribution, integration of renewable energy, energy storage and microgrids. Enabling Connected Vehicles Connection to a Cloud Infrastructure Both government and the trucking industry (specifically owner operators) have an acute need for real time data. Provision of real time date will enhance mobility, facilitate electronic payment, improve transportation asset condition monitoring, reduce resources required for system maintenance and increase the availability of information for performance measurement. The government in its recognition of the value of the trucking industry to the economy has undertaken two broad approaches in its vision of the connected vehicle infrastructure: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I). For increased mobility driving factors are: (a) more efficient use of capacity (e. g. adaptive flow control), (b) more accurate and timely traveler information (c) reducing impacts of incidents on traffic flow (d) increasing reliability of freight movements and transit schedules. Improving speed and accuracy of electronic payments within the transportation infrastructure will contribute to enhanced mobility and reduction in cost of operations. To achieve meaningful results, owner operators, the government, suppliers and customers within the transportation sector must have (a) access to publicly gathered or generated data through an effective application to manage paperwork and other administrative costs connected to managing Invoicing, Repairs amp Maintenance, IFTA reporting, Payments, Dispatch, Navigation, Routing, Paper logbooks, Drivers, and (b) devices to be installed in commercial and publicly maintained vehicle fleets. Connected vehicle system capabilities will provide opportunities to improve the density, accuracy, completeness and timeliness of data collection for system management applications and drive analysis of performance measures and planning. The key components to all of this are (a) real time data capture and management (b), creation and expansion of access to high-quality, real time, multi-modal data from connected vehicles (c), providing real time monitoring and management tools based on V2I connectivity. The U. S. DOT under the Federal Highway Administration (FHWA) and the Federal Motor Carrier Safety Administration (FMCSA) is developing the ldquoSmart Roadsiderdquo initiative as part of the V2I program with desired capabilities of (a) Real-Time traffic, weather, special event, truck parking information shared with drivers (b) Vehicle sensor data collected at the roadside shared with private vehicle maintenance providers (c) unique vehicle identifier shared with enforcement agencies (d) routing clearance information shared with drivers (e) Origindestination information shared with stakeholders to determine routing information (f) real-time drivercarriertruck information shared with enforcement agencies. This white paper will look into a case study that demonstrates how PI System will be used in the government V2I program to address real time data needs in terms of analysis, historization, visualization and delivery to the primary constituents, such as owner operators, suppliers, customers and the government through the various regulatory bodies that oversee the trucking industry. The case study will look at the value of OSIsofts PI System operating in a cloud setup on the Microsoft Azure platform as part of the V2I infrastructure. It will showcase PI Systemrsquos new capabilities, advanced analytics, visualization to owner operators in improving time management for drivers, routing efficiencies, cost management, revenue optimization and logging accuracy.