Collaboration using Vehicle Sensor Data

Transcription

1 Collaboration using Vehicle Sensor Data Matthew Miller, Transportation Industry Principal September 24 th 2015

2 Agenda Topics Emerging complexity of real-time systems Operationalizing Data (Big and Small) Business Innovation through Data Ecosystems Breaking Down Information Siloes Realizing Value with Connected Products

3 Emerging complexity of realtime systems

4 Expanding Real-time Sensing and Control

5 Emerging Real-time Complexity Modal Infrastructure

6 Industry Challenges Balancing ROI & Risk Cost Safety & Compliance Data Performance & Capacity Availability 6

7 Operational Challenges in Transportation Operations Performance Reliability and Availability Safety and Security Regulatory Reporting Energy Optimization Capital Effectiveness On-time Arrival to Plan Maintenance Costs Asset Health Asset Performance Replacement & Refurbish Planning Structural Integrity Incident Management Cyber Security Environmental Regulation Availability Reporting Emissions Monitoring 7

8 Operationalizing Data (Big and Small)

9 Operationalizing Data (Big and Small) Asset Management Asset Maintenance Network Capacity Energy Management Safety Regulatory Compliance On-time performance Planned Reactive Proactive Real-time Historical Analyzed Predictive

10 The time aspect of real-time Value Potential VALUE Business Event Opportunity for Improvement! Situational Awareness Decision Action Time to Act TIME Ultimately, Value can be obtained from Reducing time to decision by improving situational awareness Situational awareness can be improved by having data available in realtime in their original resolution

11 Improved Situational Awareness Value Potential VALUE Business Event Situational Awareness Decision Action Improved Situational Awareness The result of collecting and Situational Awareness presenting data and events in real-time Decision Action Time to Act TIME Distribution of time between a Business Event and the Corresponding Action

12 Improved Situational Awareness VALUE Value Gained Business Event Situational Awareness Decision Action Improved Situational Awareness The result of collecting and presenting data and events in real-time Time to Act TIME Distribution of time between a Business Event and the Corresponding Action Value of Real-time Infrastructure

13 Value Range Getting fidelity in your history The PI System focuses on TIME-SERIES information. Store and retrieve highly accurate data VERY quickly. Time 13

14 Analyzed Data Aggregated Summarized Asset Calculations Future Data Predictive Inputs Real X Y X R f(x dx ) X Y Z Outputs Parametric Based * Statistical Based * Model Based Geometrical/Pattern Based Predicted Actual

15 Business Innovation through Data Ecosystems (Value Chains)

16 Information enables the Material Value Chain Suppliers Manufacturers Aftermarket Right Product Right Time Efficiently Safely Securely In Compliance Every time!

17 Information enables the O&G Value Chain Right Product Right Time Efficiently Safely Securely In Compliance Every time!

18 Information also enables the Energy Value Chain Suppliers Suppliers Transmission & Distribution Right Product Right Time Efficiently Safely Securely In Compliance Every time!

19 Information enables the Asset Lifecycle Value Chain

20 Failure Rate Stakeholders in the Bathtub Curve Manufacturing Ongoing Quality Design Early Failures Random Failures Wear out Failures Operational Time

21 How can PI data increase equipment availability? Reliability - PI provides the underlying data fidelity that makes information actionable Real-time vehicle health & condition monitoring More accurate remote diagnostics (DTC codes to Data) Accounting for operating modes for parameter limits Common data structures for analytic applications Improved operator behavior Aligning JIT service and parts with needs Put asset data into modal infrastructure context Turbo Boost Pressure Is Increasing Monitor cargo environmental equipment Reduce output power by 10%

22 Intelligent Lifecycle Asset Management Cradle to Grave Data Utilization Academia 3 rd - Party Regulator Suppliers Suppliers Suppliers Recalls Suppliers Quality Warranty Services Product Design & Development Design Modeling & Simulation Engineering Test Durability Testing Manufacturing Production Test Component Genealogy Manufacturing Operations Management PLM Services Technical Field Support Parts Site Management Diagnostic Testing Customer Warranty Management After sales Customer Support Regulations and compliance Product Usage Insights Better Service & Support

23 What if you had all the data?

24 Still think open data is no big deal? Empowering Business in Real-Time. Copyright 2014 OSIsoft, LLC

25 Breaking Down Information Siloes

26 Information Siloes Across the Enterprise Functional Applications Process Workflows Disparate data sources Different Context Limited Access

27 Exchanging Information with the Ecosystem Supplier Collaboration Resource Planning Scheduling Consultants Integrators

28 Exchanging Data with the Ecosystem PI Connect PI Connect PI Connect Publish Subscribe PI Connect Publish/Subscribe Subscribe Publish PI Connect Publish/Subscribe PI Connect 16

29 New Data Ecosystems Utility Critical Facilities University PI Server PI AF PI Server PI AF PI Server PI AF Transport/ Traffic Water & Wastewater PI Server PI AF PI Server PI AF Industrial Sites/Parks Partners PI Server PI AF PI Server PI AF

30 Realizing value through the data ecosystem

31 Data is changing the way people think and act!

32 Asset Context is Paramount to making it actionable Real-time Values Engine Speed Coolant Temperature Ambient temperature Real-time Values Exhaust temperature Vehicle Speed Steering Angle Asset Details VIN Year Model Notifications Performance excursions Temperature difference High temperature External Databases Performance curves Last service date Design documents SDN Calculations Performance calculations KPI s Critical Events DTC s Trips Operating Exceptions 32

33 Space and Time Context

34 Data / Asset User Interfaces Infrastructure context joins Enterprise data SCADA HMI MES Infrastructure ERP Esri PLM User Interfaces Operational Intelligence OT IT Business Intelligence SCADA PLC PI Data Arch. LIMS Relat. DB Big Data Unstr. DB Data / Asset

35 Operationalizing the data Automation and Autonomous Operation

36 Operationalizing the data Automation and Autonomous Operation Building insights into action Metrics & Oversight Knowledge at the edge Operationalize continuous improvement At scale!

37 Journey to Operational Intelligence Data Driven Insights Data Aggregation Predictive Analytics Visualization Reporting Sensor & Asset Context Analysis and Analytics Sensor Data Capture SCADA/DCS/PLC/HMI

38 Journey to Operational Intelligence Data Driven Insights Data Aggregation Infrastructure Predictive Insights Visualization/Reporting Sensor & Asset Context Analysis and Analytics Sensor Data Capture SCADA/DCS/PLC/HMI

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41 Workshop group activity OEM Suppliers End Users &SI 41

42 We believe People with Data can Transform their world

43 Matthew R Miller mmiller@osisoft.com Transportation Industry Principal OSIsoft, LLC Enrique Herrera eherrera@osisoft.com Market Principal Connected Services and New Markets OSIsoft, LLC 43

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