Digital Prey or Digital Predator? Dr. Dominic John, VP of Marketing and Technical Communication

Transcription

1 Digital Prey or Digital Predator? Dr. Dominic John, VP of Marketing and Technical Communication Copyright 27 OSIsoft, LLC

2 Agenda Introducing Digital Prey or Predator Digital transformation today Digital transformation tomorrow with IIoT Digital Readiness Copyright 27 OSIsoft, LLC 2

3 Our World Is Digitally Transforming.2B.5B 4M 5M M 3M Source: McKinsey, MGI Digital America December 25 Copyright 27 OSIsoft, LLC 3

4 We Are Getting More Connected Copyright 27 OSIsoft, LLC

5 Today, your cell phone has more computer power than all of NASA back in 969, when it placed two astronauts on the moon. -Michio Kaku Copyright 27 OSIsoft, LLC

6 The Digital Opportunity- Top B2B Digital Companies Revenue Growth Profit Shareholder Returns 5X Their rivals 8X Their rivals 2X Their rivals McKinsey and Company-McKinsey Digital Quotient, Capital IQ Copyright 27 OSIsoft, LLC

7 Data Driven Transformations Safety & Security Energy Productivity Asset Health Quality Regulatory Performance Eliminated 5 unplanned shutdowns in first year $3.3 million in annual energy savings Industrial Demand Response and Smart Manufacturing $2M per year in preventative maintenance and improved worker safety + fewer paper documents via Lifecycle tracking Recovering 64M liters of treated water Copyright 27 OSIsoft, LLC

8 Do you want to be Digital Prey or Predator? Copyright 27 OSIsoft, LLC

9 Our Challenge- Trending Words IIoT BIG Data Analytics Industry 4. Cloud Mobility Copyright 27 OSIsoft, LLC

10 Customer (Hype) Interest Cycle as OSIsoft sees it Industry 4. Industrial Digital Transformation Industrial Big Data Industrial Operations Cloud IIoT Industrial Analytics Cloud IT/OT Convergence Discover Transformation Copyright 27 OSIsoft, LLC

11 IIoT Digital Transformation Is Happening Today Our Vision- Reminder.5 Billion Tags 9, Sites 6+ Enterprise Agreements 7+ Connected Services Copyright 27 OSIsoft, LLC

12 The Digital Transformation Journey Sites Copyright 27 OSIsoft, LLC 2

13 Real-Time Drilling Optimization Marathon Oil Reduce the number of days to drill a well in a factory-based drilling model. Cost $8,/Day for on-shore drilling. CHALLENGES Remote headquarters engineers are the ones with the knowledge to help optimize drilling, but they didn t have access to the data SOLUTION Connected the local data to a central PI Server, and developed a drilling optimization package called MaraDrill RESULTS An increase in the rate of penetration of 4%, resulting in a reduction of about day to drill a well Lack of real-time drilling analytics and guidance capability at the drill site Integration of the PI System data with TIBCO Spotfire Access to -second data Reduced vibration and damage to downhole tools Continuous optimization onsite and retrospective post-well analysis Copyright 27 OSIsoft, LLC 3

14 The Digital Transformation Journey Sites Copyright 27 OSIsoft, LLC 4

15 Turning Data into Intelligence Through Context Boiler-29.Fuel Gas Flow DC.SrvR 94:GRDIDX.Tr igger AC9.Power GE_DT _Wind Speed QI-9 GE_DT Cooling Fan-7.Feed Rate DC.SJ.PUE TI-2 DC.Zero DY-8 DC.SJ.C.Z3.R3.PDU.PF GE_A_DT 43595_Wind Speed DC.SrvR Boiler-25.Fuel Gas Volume -6.Net Volume CB992_MS _CMP_FLOW_TOTAL GE2_Energy Anacortes Refinery.Alkylation.Asset Problems B2_FG5.KPIExcursion AlarmTest.Input.Float32. AQUA2-TI-2.PV DC.SJ.SiteRealTimeITLoad.PWR FT9 FI- bf5edd-39c9-4b5b-b3d3-c2ce5fa3a26 DM-5:BW.R AT4 _CLR_FINAL_OUT_B_TMP F56_E _Clear Sky Global Horiz GE_DT D-.Tank Pressure.PV Boiler Feed Pump # FT9 GE_CON AlarmTest.Input.Float32. FIC-44 2F fasttag FI-5 _ENG_AUX_STS DC.C2Z.Pwr.Ripple GE_A_DT 2F2.HRAVG BGT PI- facility_output FI- GE5_Energy C:4AT5 AC3.Air Flow FeedBin.Cmt Boiler Cold Reheat Pressure B737_FG7 DC.TimeLoad D-.Tank Pressure.PV GE4_DT QI-2 GE3_V_WIN DC.Rk7R DC.Srv6R GE4_Energy TI-2 FT9 FAC.OAK.Power-Kh-Val.PV FeedBin.Cmt DC.Zone.Number DailyTrigger FrqPrbCost_ER Data -8.Net Volume Coal Motor Load 2F.TOT.EV 3LBA32CT-2 DY-3 DC.SJ.PUE fic.c GE2_OT GE_DT DC.SJ.ITLoad.PWR TI-45 FR2 TI-78 GE4_OS FT9 FR5 FT9 AF_NOISE 2 Information 3 Intelligence Real-time Decision Support Weather Conditions Relative Humidity: 34% Current Temp: 85 F High: 92 F Low: 57 F Wind: 8 mph/n Crude Furnace Draft Pressure: -.5 WC Stack Temp: 36 F Oxygen: 2.5% Firebox Temp: 86 F Outlet Temp: 84 F Cold Oil Velocity: 6 ft/sec Downtime Energy Efficiency Total Production $ Business/Operation Analytics Copyright 27 OSIsoft, LLC

16 Sustainability Brewing Savings The world s 2 nd largest beer provider (by revenue) will reduce water consumption by 25% and CO2 emissions by 4% in their brewing facilities between 28 and 22 CHALLENGES Needed better tools and data to collect, manage and optimize their utility consumptions and energy use SOLUTION Using PI AF models and templates to organize data from PI and other systems RESULTS Have discovered ways to meet their 22 goals, based on information being exposed in new ways Bringing data together from multiple sources in an easy-touse manner PI AF, Analytics and Notifications for data management PI Client tools for visualization PI AF solution has enabled some savings Looking to add PI Event Frames and BI tools to find even more savings Copyright 27 OSIsoft, LLC 6

17 The Digital Transformation Journey Sites Copyright 27 OSIsoft, LLC 7

18 Copyright 27 OSIsoft, LLC

19 The Digital Transformation Journey Sites Copyright 27 OSIsoft, LLC 9

20 Information is Key to a Strong Supply Chain Hershey has rapid global expansion plans, and they strive to be a world-class leader in continuous improvement and quality while managing manufacturing costs CHALLENGES Extend the Hershey brand through Global expansion and strategic acquisitions while managing cost and improving efficiency and quality. SOLUTION Deliver information end users of all levels in an EASY to use manner that requires minimal training or long term support. RESULTS Paperless manufacturing management of the supply chain Support aggressive efficient growth without affecting quality or expanding costs Fully leverage AF to build flexible, scalable and configurable data structures and calculations Maintenance costs down 33% Throughput losses down 3% Quality losses down 22% Copyright 27 OSIsoft, LLC 2

21 The IIoT Game Changer Copyright 27 OSIsoft, LLC 2

22 The Role of IIoT within Industrial Operations Traditional Operations Sense Process/ Control System Connect Store Structure Analyze Model Implement Automate Copyright 27 OSIsoft, LLC

23 The Role of IIoT within Industrial Operations Traditional Operations Sense Process/ Control System Connect Store Structure Analyze Model Implement Automate IIoT Enabled Operations Sense Connect/ Gateway Copyright 27 OSIsoft, LLC

24 3 Use Cases for New IoT Monitor what you couldn t Integrate new sensor types Add sensors around existing systems Copyright 27 OSIsoft, LLC

25 ) Primary Use Case: Now Connect What was Physically and Economically Not Possible Before. Remote and mobile assets Copyright 27 OSIsoft, LLC

26 2) Use Case: New Sensors Outside of Existing Systems Copyright 27 OSIsoft, LLC

27 3) Use case: Upgrade existing Systems with new sensors Copyright 27 OSIsoft, LLC

28 Analytics within Industrial Operations Traditional Operations Sense Process/ Control System Connect Store Structure Analyze Model Implement Automate IIoT Enabled Operations Sense Connect/ Gateway Copyright 27 OSIsoft, LLC

29 The First to Last Mile of Operational Excellence Enterprise Advanced Analytics Real-time Analytics Historical Data Access Process Advanced Analytics Asset Advanced Analytics Real-time Data Human Knowledge Copyright 27 OSIsoft, LLC

30 The Challenge With IIoT Analytics A typical data extraction initiative can take upwards of a month (or 744 hours) to complete for 7 sites Copyright 27 OSIsoft, LLC 3

31 Solving the Hardest part of IIoT: Time Series Data Challenges: # and diversity Of sources Connect 2 Volume and fidelity of data Quality Compress 3 Meaningless Tags without information Tag Context Valve Valve 4 Meaningless Tags without knowing the context to operations Process Context Site -Valve Site 2 -Valve Events aren t easily comparable Comparable Site -Valve Site 2 -Valve Data alignment is a problem Analytics Ready Site -Valve Site 2 -Valve Multiple Ways data is needed Real-time Monitoring Injector Site -Injector Self-service Data Lake Enterprise Copyright 27 OSIsoft, LLC

32 Advantages of Having a Strategy for IIoT Data A typical data extraction initiative can take upwards of a month (or 744 hours) to complete for 7 sites The PI Integrator for Business Analytics reduces this down to 4 minutes Copyright 27 OSIsoft, LLC 32

33 Leveraging the PI System and Microsoft Cortana Intelligence to Increase Process Efficiency COMPANY and GOAL Deschutes Brewery is the 7th largest craft brewery in US, and wanted to maximize production with its existing infrastructure to fund construction of a 2 nd brewery in Roanoke, VA Company Logo Picture / Image CHALLENGE Batch s phase transition happens between manual density measurements occurring every 8- hours Impact: Losing up to 72 hours in production time SOLUTION Use data science to achieve accurate predictive analytics for determining a batch s density measurements PI System PI Integrator for Microsoft Azure SQL Data Warehouse Azure Machine Learning Azure Data Factory RESULTS Ability to eliminate production time losses and increase production capacity (upto 48hrs per run) Accurate predictions of when a batch s phase transitions from fermentation to free rise Copyright 27 OSIsoft, LLC 33

34 Copyright 27 OSIsoft, LLC The IIoT Challenge Automation/Control Systems New Sensor Technology Remote and Mobile Assets

35 Copyright 27 OSIsoft, LLC Strategic Approach to an IIoT Enabled Enterprise Automation/Control Systems New Sensor Technology Remote and Mobile Assets Enterprise Operations Infrastructure Real-time Monitoring Vendor Applications Analytics 3 rd Party Services Connectors Integrators Analytics Data Context

36 Copyright 27 OSIsoft, LLC Data Infrastructure Approach: Designed For Today, and Tomorrow Automation/Control Systems New Sensor Technology Remote and Mobile Assets Volume Variety Velocity DTE: 3 million customers 27 million + tags SetPoint: 4, events /sec E.ON: 3, tags,25 formats, 4+ locations Enterprise Operations Infrastructure Connectors Integrators Analytics Data Context

37 Copyright 27 OSIsoft, LLC 37