Introduction to Process Optimization and Advanced Analytics with the PI System Live Polling in this session: PollEV.com/osisoft2

Transcription

1 Introduction to Process Optimization and Advanced Analytics with the PI System Live Polling in this session: PollEV.com/osisoft2 Presented by Landry Khounlavong (Product Marketing Manager, OSIsoft) Selmane Sekkai (Systems Engineer, OSIsoft)

2 Where are we in our PI System Basics journey? :00pm 2:45pm 3:45pm 4:30pm Landscape Asset Health Process Optimization Visualization My Operational Data, the PI System and the Greater Technology Landscape Introduction to Asset Monitoring & CBM with the PI System Intro to Process Optimization & Advanced Analytics with the PI System Introduction to Visualizing data with the PI System

3 Where are we in our PI System Basics journey? Landscape Asset Health Process Optimization Visualization My Operational Data, the PI System and the Greater Technology Landscape Introduction to Asset Monitoring & CBM with the PI System Intro to Process Optimization & Advanced Analytics with the PI System Introduction to Visualizing data with the PI System

4 Process optimization is a journey Heroic levels of optimization Opportunity is identified Issue needs a solution

5 Two questions to be addressed in 30 minutes How can the process of process optimization be optimized? Is there a buzz word that I can use to optimize a process?

6 Age-old questions in process optimization How can we: production by X%? production time by Y hours? operating costs by $Z?

7 Process optimization can be streamlined with the right tool set Identify Analyze Implement Validate What components are inefficient? Why is it inefficient? How can we improve it? Did the process s efficiency improve? Challenges Data silos Access overhead Challenges Many truths Comparison difficulty Challenges Thermodynamics Fluid mechanics Challenges Data silos Access overhead Solution Solution Solution Solution????

8 How can the PI System help optimize a process?

9 Customer Success Story EMEA LONDON #OSISOFTUC 2017 OSIsoft, LLC

10 Located in Bend, OR Founded in 1988 Pub opened in Portland, OR in brewhouses 50+ vessels Bottling and kegging 7 th largest US craft brewer

11 Quick data access enables production increase Challenge uncharacteristic cooling behavior Solution PI System enabled the brewing team to quickly and efficiently implement a solution to correct this uncharacteristic behavior

12 An ideal cooling process for the entire tank tank level top, middle, and bottom zone temperatures cooling duration Identify Analyze Implement Validate

13 A deviation in cooling causes a delay in production 2 yeast pull top 1 top zone separation 3 top zone spike Impact Production Quality 4 additional duration Identify Analyze Implement Validate

14 Before we save the beer what magic happened? PI Data Archive Element Attributes PI Asset Framework PI Event Frames Process Excursion Startup Shift Shutdown Environmental Excursion Batch Downtime Grade Change Event Frame Attributes

15 Monitor temperature at the bottom of the vessel Identify Analyze Implement Validate

16 Cone region response correlated with top region Top & cone zone separation 1 2 yeast pull top 5 Something happens in cone 3 Top zone spike cone 4 additional duration Identify Analyze Implement Validate

17 Hypothesis drives change in process Cool the cone of the vessel as fermentation begins to cease Identify Analyze Implement Validate

18 Process change reduces cooling time top Result Production Quality cone Identify Analyze Implement Validate

19 Process optimization can be streamlined with the right tool set Identify Analyze Implement Validate What components are inefficient? Why is it inefficient? How can we improve it? Did the process s efficiency improve? Challenges Data silos Access overhead Challenges Many truths Comparison difficulty Challenges Thermodynamics Fluid mechanics Challenges Data silos Access overhead Solution Solution Solution Solution Domain expertise required

20 Advanced Analytics EMEA LONDON #OSISOFTUC 2017 OSIsoft, LLC 20

21 Respond at PollEV.com/osisoft2 What words describe your advanced analytics journey? EMEA LONDON #OSISOFTUC 2017 OSIsoft, LLC

22 Ways to get value from (big) data with advanced analytics Data Warehouses Visual Correlations Data Science Centralizing data from different business systems Visualizing data sets across multiple variables Identifying patterns with statistical approaches

23 Apparent Degree of Fermentation Need to predict transition from fermentation to free rise Challenge Transition occurs between infrequent manual measurements Too late Fermentation Diacetyl Rest Maturation Emptying Transition Can this be predicted? Filling Free Rise Cooling Ready to Transfer Empty Time (hours)

24 Apparent Degree of Fermentation Spreadsheet analytics proves confidence in predictability Bring Raw Data In Clean it Up Fit to a Line Time (hours)

25 How to operationalize data preparation and predictions PI System?

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28 How to operationalize data preparation and predictions PI System Predictions as Future Data

29 ADF ADF ADF Refining a predictive model take iterations and expertise Benchmark: Measure accuracy against a standard (based on historical data) Predict: Use 2 early densities to estimate transition time Refine: base predictions on brand for greater accuracy Time in Phase Time in Phase Time in Phase

30 Operationalizing predictions for all brands and vessels Mirror Pond Pale Ale Vessel 16 Hop Slice Summer Ale Vessel 27 Fresh Squeezed IPA Vessel 39 Black Butte Porter Vessel 45

31 In summary Is there a buzz word that I can use to optimize a process? PI Integrators Automated data preparation for advanced analytics Cortana Intelligence Suite Apply advanced analytics to data to gain insight How can the process of process optimization be optimized? PI System Quick data access One version of truth Asset and event organization

32 Relevant Product Talks & Booths Thursday (Day 3): 12:15 13:00 Product Track Advanced PI System User Arora 17 Streaming Analytics, Data Lakes and PI Integrators Matt Ziegler and Daniele Farris Partner and Product Expo Arora Foyer Visualizing PI System Data booth PI Integrator booths 32

33 Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company 33

34 Respond at PollEV.com/osisoft2 What basic PI System questions do you have?

35 Have an idea how to improve our products? OSIsoft wants to hear from you!

36 Contact Information Landry Khounlavong Product Marketing Manager OSIsoft San Leandro, CA Selmane Sekkai Systems Engineer OSIsoft Paris, FRA

37 Where are we in our PI System Basics journey? :00pm 2:45pm 3:45pm 4:30pm Landscape Asset Health Process Optimization Visualization My Operational Data, the PI System and the Greater Technology Landscape Introduction to Asset Monitoring & CBM with the PI System Intro to Process Optimization & Advanced Analytics with the PI System Introduction to Visualizing data with the PI System

38 Thank You