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Digital Twin: A radical new approach to IoT

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Presentation that was developed for IoT DevCon in April 2017, Santa Clara California USA.
In this deck, I go though the value of data & derivative (analytics) form an economic point of value, and then connect to how we can package that value for monetization in the context of IoT. The key technology enablement is the Digital Twin, which is describe as well as platform that support this paradigm. It ends with recommendations on how to get ready and how to start using GE Digital Predix Platform.

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Digital Twin: A radical new approach to IoT

  1. 1. The Digital Twin: A Radical New Approach to IoT IOT DevCon 2017 Dimitri Volkmann, Digital Twin Thought Leader, GE Digital www.linkedin.com/in/dimitrivolkmann @dimiexter www.pinterest.com/dimitrivolkmann/digital-twin/
  2. 2. Economic Power is Shifting (Credits: Geoffrey A. Moore – published April 12, 2017 on LinkedIn & Twitter) GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  3. 3. Records, Transactions Communication, Collaboration Physical Systems Dematerialization Virtual Pairing Dynamic Learning Interactive First Wave Second Wave Digitalizing the world GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  4. 4. Digital twins are dynamic digital representations that enable companies to understand, predict and optimize the performance of their machines and their business. Digital twins are a persistent digital model of the structure, behavior and context of a physical industrial asset. GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  5. 5. The Digital Twin Canvas Digital twins are dynamic digital representations that enable companies to understand, predict and optimize the performance of their machines and their business. Asset Data , Metadata & Events Insights (Industrial Intelligence) Structure • CAD Model & Specs • BOM • Asset Model • … Behavior • Sensors reading • Events • Control Systems Gold Data Training Data Models & Orchestration Context • Environment • Configuration • History (Service, etc) • … Analytics Kernels(physics) Specific Outcomes Early warnings Predictions Optimizations Machine Learning (Model Training) In Out DataFederation Data&MetadataManagement Predix Platform Asset Connectivity Data Persistence Model Execution Continuous Learning Machine Learning (Auto Data Modeling) Edge to Cloud data & compute Digital Twin APIs (Context, KPIs, Insights) GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  6. 6. Digital Twin: Technology Value Context Data – The Past 3D model, eBOM, Service Records, First Date of operation… KPIs – The Present Sensors Reading, Performance, Current State… Insights – The Future Failure Modes, Early Warnings, Predictions… www.formula1.com Context KPIs Insights GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  7. 7. Asset-centric, Industrial Application Types - Monitoring & Health - Diagnostics - Maintenance Optimization - Reliability Management - Performance Optimization - Compliance - Operations Optimization - Asset Strategy - Business Optimization - New Business Models & Services Physical System Digital Twin Individual Asset level Operations/ Enterprise level - Simulations GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  8. 8. Digital Twin Development Paradigm BUILD; MANAGE, RUN, PERSIST & LEARN; CONSUMME 1 2 3 BUILD: Asset Experts team up with data management, data scientist, analytics and machine learning specialist to BUILD Digital Twin Classes – for a specific class of Asset or System – in order to assemble data and models for identified desired outcomes. These Digital Twin Classes are published in a catalog. RUN: Digital Twins instances for identified Assets or Systems are persisted, executed and optimized on the Platform. As more Digital Twins run on the Platform, the Learning System improves the Digital Twin Models. The Platform also offers Digital Twin management. CONSUME: Digital Twin offers Context Data, KPIs and Insights about an Asset or System. This value is accessible through APIs and is used to build Industrial Internet Apps such as APM from GE Digital. GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  9. 9. Deployment: Edge to Cloud CLOUD EDGE NETWORK • Cheapest • Very Big Data • Very Big Compute & Machine Learning • Compliance & Auditability • Lowest Latency • Lots of low relevance data (filtering) • Resilience • Governance • Many to many interactions Most deployment will use a distributed model Edge/Network/Cloud depending on specific requirements, the Platform can self adjust based on learning GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  10. 10. Why a Digital Twin Platform? • “Where Digital Twins live” • Data and IP Governance • Monetization of Data, IP and Outcomes of the Digital Twins • Learning System • Scale • Management & Compliance GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  11. 11. The RDBMS Analogy RDBMS DIGITAL TWIN PLATFORM Digitalize Information Systems & records Digitalize Physical System Tables, Index, Clusters, Stored Procedures Digital Twin Class Records Digital Twin Instances SQL: DDL (Tables & Views) and Stored Procedures Digital Twin Class (Data, Metadata, Analytics, Models, etc) SQL: SELECT, INSERT, UPDATE, DELETE APIs Calls for Context, KPIs, Insight RDBMS Engine: persist data, optimize queries Digital Twin engine: persist data, optimize Analytics, Learning System Database Designer, Database Analyst Asset Experts, Digital Twin Class Designers Database Developers Industrial Apps Developers (use APIs) GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  12. 12. Getting Started Today with Digital Twins: www.predix.io Design Principles • Manage the Data, expose relevant Data (past, present) • Build Models & Analytics for re-use • Orchestrate to deliver specific outcome: KPIs, early warning, predictions • Expose as API (de-couple from UI/UX) GE Digital 2017, no Reproduction – IoT DevCon Conference April 2017
  13. 13. IOT DevCon 2017 Dimitri Volkmann, Digital Twin Thought Leader, GE Digital www.linkedin.com/in/dimitrivolkmann @dimiexter www.pinterest.com/dimitrivolkmann/digital-twin/ Thank You!

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