Introduction to Analytics with the PI System
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1 Introduction to Analytics with the PI System Landry Khounlavong, Product Marketing Manager 1
2 Analytics offer many choices 2
3 Five considerations before starting with big data 1. Gaps in data collection 2. Poor data quality 3. Low # of modes 4. Unknown relationships 5. Natural skepticism 3
4 Where do I start? or Where are the quick wins? 4
5 ROI Small projects propel success for a large project Must-have project characteristics Subject matter expert included Sufficient business value Related to larger initiative 3y time 5
6 Deliver value during your analytics journey Collect Access measurements from one place Calculate Make real-time decisions based on physics Contextualize Analyze relative to a process or event Model Compare performance across enterprise Combine Assess production relative to cost and revenue Apply algorithms Predict events to augment decisions 6
7 Data Sources Collect Store & Enhance Deliver Cloud Services PI Cloud Connect Notifications Event Frames PI Integrators Business Analytics SAP HANA PI Interfaces & PI Connectors Asset Analytics Asset Framework Visualization PI Vision PI DataLink PI Manual Logger PI ProcessBook Data Archive PI Server PI System Access </> PI WebParts Custom applications Business systems 7
8 80-5.Net Volume GE01_A_DT GE04_OSAsset1.Problem s QI-122 FI-151 AlarmTest.Input.Float32.1 DC.SJ.PUE TI-102 DC.Zero DY-108 DC.SJ.C1.Z3.R3.PDU1.PF GE01_A_DT _Wind Speed 02F102.1HRAVG BGT001 AQUA2-SI005.PV GE02_Energy PI-111 facility_output 0_ENG_MODE_STS FI-151 AQUA2-TI-201.PV BGE003 FI T100 AF_FLOW3 02:T103 AT401 ACEDemo.Unit1.Output FI T103.Q TI-178 B352_W778 0_CMP_SVLV_PCT DC.Z1R 02F104 CD:F161 0_CMP_HDR 94:BW.R TI-101 F723_E Temp Compressor-439.Feed Rate DC.CH.DCE FIC- Boiler-334.Feed Rate 02F102.1HR AVG BGT001 PI-111 facility_output FIC-144 GE04_Status 02F100 fasttag 02:F101.C AQUA2-SI005.PV GE02_Energy 0_ENG_MODE_STS FI-151 TI T103.Q DC.Z1R asset1_output 0_CMP_HDR_SUC_PRS Active Meters FI-111 GE01_A_DT aso AF_NOISE DM-05:BW.R PI-115 DC.SJ.PUE fic1001.c GE02_OT FI-101 bf5e1d1d- 39c9-4b5b-b3d3- FI-101 Volume trigger AC09.Power GE05_Energy C1:14AT5 AC03.Air Flow FeedBin.Cmt Boiler Cold Reheat Pressure DC.SJ.SiteRealTim Anacortes Refinery.Alkylation.Asset B737_FG117 DC.TimeLoad eitload.pr FT9001 Problems B210_FG005.KPIExcursion D-110.Tank Pressure.PV AC04.Air FI-101 bf5e1d1d-39c9- GE04_DT QI-121 GE03_V_WIN 4-36.NetVolume Flow 02T100 03LBB02CT b5b-b3d3-c2ce05fa3a26 DM-05:BW.R DC.Rk07R AT401 DC.NY.Actual.PWR.day.Tot 0_CLR_FINAL_OUT_B_TDC.Srv06R GE04_Energy AlarmTest.Input.Float32.10 MP F506_E _Clear Sky AC Power TI-121 FT9001 Global GE01_DT _Wind Speed QI-109 Horiz GE01_DT FAC.OAK.Power-Kh-Val.PV GE01_DT Cooling Fan-711.Feed Rate DC.Srv01R Boiler-209.Fuel Gas AQUA2-SI005.PV GE02_Energy Boiler- AlarmTest.Input.Float32.1 Flow DC.Srv01R 0_ENG_MODE_STS 125.Fuel Gas 94:GRDIDX.Tr 1-13.Net Volume B045_FG :210 GE01_DT FI-121 AF_FLOW3 0_ENG_MODE_STS GE03_Q DY-131:166 GE01_TD AT401 02T103.Q DC.Z1R 0_CM P_ HDR _SU C _ PRS FI-101 bf5e1d1d-39c9-4b5b-b3d3-c2ce05f Net BGE003 FI T100 AF_FLOW3 02:T103 ACEDemo.Unit1.Output TI-178 B352_W778 0_CMP_SVLV_PCT 02F104 CD:F161 c2ce05fa3a26 AT401 DM-05:BW.R 0_CLR_FINAL_OUT_B _TMP F506_E _Clear Sky Global Horiz GE01_DT DY :F101.C DY-131 Volume FI-151 DM-05:BW.R 0_ENG_AUX_STS DC.SJ.C1.Z1.R1.Rk06.S2. O03.PWR QI-111 TIC-181 FinalProductBin.On 94:GRDIDX.ProdID Boiler-209.Fuel Gas Flow AF_NOISE D-110.Tank Pressure.P V Boiler Feed Pump #1 1-8.Net Volume 03LBA32CT0 AT401 % CO2 GE05_ES T 1-16.Net Volume CB1992_MS 0_CMP_FLOW_TOTAL 01-2 DC.SJ.ITLoad.P WR GE02_Energy FT9001 TI-145 fic1001.c FR5001 fasttag FR2001 FT9001 FeedBin.Cmt TI _Wind DC.Zone1.Number GE04_OS Speed FT9001 DailyTrigger FrqPrbCost_ER 45-2.Net Volume FT9001 FR5001 DC.C2Z1.Pwr.Rippl FT9001 AF_NOISE GE01_CON e GE01_A_DT AlarmTest.Input. Float32.1 DC.SJ.SiteRealTim eitload.pr FT9001 GE01_DT _Wind Speed QI-109 DM-05:BW.R GE01_DT Cooling Fan DC.SJ.C1.Z1.R1.R k06.s2.o03.pwr GE01_A_DT QI-111 FinalProductBin.On fic1001.c 94:GRDIDX.Pr 02:F101.C odid Boiler- FR2001 TIC Fuel Gas Aso AT401 Flow DC.Srv01R Map raw data to the physical world and normalize it across the enterprise Weather Conditions Relative Humidity: 34% Current Temp: 85 F High: 92 Low: 57 F Wind: 8 mph/n Crude Desalter Operating Pressure: 110 psi Charge Rate: 14 gph Mix Valve Pressure: 8 psi Water Rate: 8% Crude Furnace Draft Pressure: -0.5 WC Stack Temp: 316 F Oxygen: 2.5% Outlet Temp: 840 F Cold Oil Velocity: 6 ft/sec 8
9 Make raw data decision-ready Total Power Power Status Power Status Power Status Unit % Uptime Overall Efficiency Both variables are potential features for training algorithms 9
10 Identify discrete events within continuous data streams Simplify Data Analysis Compare Assets Compare Events Name Max EF EF EF EF Discover Event Interrelationships Running XYZ Downtime 10
11 11
12 Data Sources Collect Store & Enhance Deliver Cloud Services PI Cloud Connect Notifications Event Frames PI Integrators Business Analytics SAP HANA PI Interfaces & PI Connectors Asset Analytics Asset Framework Visualization PI Vision PI DataLink PI Manual Logger PI ProcessBook Data Archive PI Server PI System Access </> PI WebParts Custom applications Business systems 12
13 PI System integrates to a variety of advanced analytics components business intelligence tool data warehouse data lake train algorithm messaging hub machine learning Enterprise Operations Infrastructure Assets Automation Systems Edge Devices / Sensors IoT solutions
14 PI Integrators simplify preparing data for advanced analytics 1. Create View 4. Publish No code required! 2. Select Data 3. Augment and Filter 14
15 15
16 Deliver value during your analytics journey Collect PI Interfaces & PI Connectors Calculate Contextualize Model Combine Apply algorithms PI Server PI DataLink PI Integrators Event Frames Asset Analytics Asset Framework Data Archive 16
17 Takeaways Start small to de-risk analytics projects PI System enables you to contextualize, normalize, and mark events in raw operational data to accelerate your analytics Data Scientist Investigate how PI Integrators can save you time preparing data Engineer/Operator See how PI Vision can give a full view of your processes and systems General Manager Speak to our customers about the value they gain from PI System and checkout industry tracks on Wednesday 17
18 Contact us for more information Landry Khounlavong Product Marketing Manager OSIsoft, LLC 18
19 19
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