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Digital_Twin_GUC_IE _AvinashMisra_&_AvinashNeema

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Digital_Twin_GUC_IE _AvinashMisra_&_AvinashNeema

  1. 1. Siemens Global university challenge 2016: enabling the digital twin
  2. 2. Clustered Digital Twin (CDT) Infrastructure Idea Category: Business Idea Idea Title: • PROPOSING CLUSTERD DIGITAL TWIN INFRASTRUCTURE for DESIGNING & USING DIGITAL TWINS IN MANUFACTURING ENVIRONMENT • IDENTIFY ADDITIONAL BUSINESS DRIVERS FOR USING DIGITAL TWINS USING CLUSTERED DIGITAL TWIN INFRASTRUCTURE Team:- Avinash Neema Avinash Chandra Misra Business School
  3. 3. CDT: Idea Preview Proposal: • Identify additional business drivers required for using the digital twin by designing and analysing CLUSTERED DIGITAL TWIN (CDT) platform software. Idea Preview:- • Analysis of Data generated by Digital twins involves lots of computation and computing resources. At the same time, the target manufacturing companies that might be willing to use digital twins also want to get the maximum return out of their investment (ROI) in digital twin technology. • Hence, it’s an area to analyse means of efficient usage of the information provided by actual product and optimize the computing resources used by digital twins. • A scale out software infrastructure provides a robust platform to design, monitor, and integrate Digital Twins in a plant as well as across the plants. • On-the-fly Product maintenance is one of the biggest area to investigate in energy industry. A CDT like model can provide needed support to address plug-and-play feature in manufacturing plants.
  4. 4. CDT:Additional business drivers to Analyse for application of “Digital Twin” using Clustered Digital Twin Infrastructure 1. Bidirectional Communication using Digital Twins: Digital Twins built using CDT infrastructure can work more intelligently not only getting data from product using sensors but also monitoring and controlling actual products. 2. Computing Resources Optimization for Digital Twins Reduce Digital Twin operational cost 3. Enhance deterministic behaviour of Digital Twins by “Task Prioritization” to ensure resource allocation to most important digital twin, decision making, and runtime event handling, providing better fault management. 4. Better software algorithms to enhance the life cycle of local computing resources (such as FLASH memory in local computers installed in a plants, as FLASH memory is costly and has limited write operations). 5. On-the-fly addition/maintenance of components in actual products as well as addition of Digital Twins in the Cluster seamlessly. 6. Online health monitoring of products through Digital Twins: Periodic health monitoring (scheduled by user). On-demand diagnostic (basic routine if device is not in active mode). Offline diagnostic routines (component taken offline and tests are performed, and component is fixed back after maintenance).
  5. 5. CDT: Centralized Clustered digital twin platform software. Advantages.. • Centralized Clustered Digital Twin platform software provides:- • Resource optimization for Designing Digital Twins. • Software flexibility to optimize digital twins operational efficiency. • Load balancing among various end products such as wind turbine through bidirectional communication through Digital Twins of those products. • Centralized product health monitoring and diagnostic system. A malfunctioned component can be taken offline, and offline tests are performed by repair team. And once component is ready for use, it can be plugged into the digital twin software. • Categorization of Digital Twins in product development phase: • Usually when a product line is released, not all of the customers will be using the devices (products) in the same way. We would like to categorize those digital twins and act on the priority based on the application of products. • Provisioning of digital twins based on applications (devices at user end, devices for testing, devices for maintenance and repair).
  6. 6. CDT: Future Scope & Possibilities Scope & possibilities: • Cluster Digital Twin (CDT) infrastructure design can be used for creating a scale out platform for manufacturing firms that have countable products such as wind turbines in wind farms, engines in automobile industries etc. • If a connected infrastructure is in place, scope is unlimited as lot of data can be prioritized, resources can be shared, load balancing could be performed and if devised properly plug and play of physical components on the fly is feasible.
  7. 7. CDT: SWOT and Positioning analysis Vs Competitors(GE’s Predix) A B C What CDT offers What Competitors offer What Customers Want A Strength: CDT offers Innovative digital twin design feature On-the-fly Digital twin maintenance support Runtime event handling. Plug and play of digital twin as well as device support. Bidirectional communication (Digital Twin <-> product) Software infrastructure support for online, offline and scheduled diagnostic monitoring. Software design for trying Plug-and-play of components (after maintenance) because CDT enabled Twins are programs that work on network programming concepts of Server-client. Cost effective software design, better ROI Local cluster designing support for fast event handling fro digital twins. Digital Twin computing resource optimization, D
  8. 8. CDT: SWOT and Positioning analysis Vs Competitors.. continued A B C What CDT offers What Competitors offer What Customers Want B Core common services Cloud services and Integration Software as a service, Digital twin design and monitoring C Industrial IoT support to create embedded devices. Huge cost to use GE’s Predix platform D Opportunities Augmented reality support, Additional employee safety features Device plug and play support on the fly D
  9. 9. CDT: Big Picture
  10. 10. CDT: Big picture WITHOUT Clustered Digital Twin Design Twin name Twin1 Twin2 Twin3 Twin4 CPU resource CPU1 CPU2 CPU3 CPU3 Memory Allocated 10GB 10GB 10GB 10GB Twin Work Load 125% 20% 25% 75% Digital Twins with dedicated resources Wind farm # 1 Wind farm # 2 Real Devices
  11. 11. CDT: Big Picture WITH Clustered Digital Twin (CDT)Design Core 1 M1 Digital Twins Connected over CDT platform Wind farm # 1 Wind farm # 2 IP1 IP2 IP3 IP4 DIGITAL TWINS ARE CONNETED OVER NETWORK LAYER CLUSTERED DIGITAL TWIN SOFTWARE INFRASTRUCTERE CLI- command line interface HARDWARE RESOURCES Resource Scheduler Processor Memory Provisioning Software Kernel Core1 Core2 Core3 core4 M1 M2 M3 M4 Core 3 M3 Core 2 M2 Core 4 M4 Real Devices Dynamic Core and memory Allocation based on Hotness of devices
  12. 12. CDT: Load Balancing in Customer Environment Core 1 M1 Digital Twins Connected over CDT platform Wind farm # 1 Wind farm # 2 IP1 IP2 IP3 IP4 DIGITAL TWINS ARE CONNETED OVER NETWORK LAYER CLUSTERED DIGITAL TWIN SOFTWARE INFRASTRUCTERE CLI- command line interface HARDWARE RESOURCES Resource Scheduler Processor Memory Provisioning Core 3 M3 Core 2 M2 Core 4 M4 Real Devices Dynamic Core and memory Allocation based on Hotness of devices Load Balancing HOT COLD Best Practices Sharing
  13. 13. MASTER CONTROL UNIT DIGITAL TWIN ACTUAL PRODUCT With sensors installed. CLUSTER DIGITAL TWIN PLATFORM Alarms, Commands Actions CDT: Signaling event handling on actual products using Twins developed on CDT platform Talking to sensor network Because Digital Twin are the computer programs and models built using CDT infrastructure, they can be used to trigger actions of sensors install on actual products.
  14. 14. CDT: Resource Optimization and Cost saving Software Features • CDT platform enabled digital twins can track live Issues in Customer Environment such as threshold levels of various component operating efficiencies. • Dynamic Resource Prioritization through CDT resource scheduler according to the of the actual product (wind turbine in this case):- • activity (Hot: maximum utilization, Cold: least utilization). • Load Balancing triggering between actual devices using CDT resource scheduler and the observed data through digital twin.
  15. 15. CDT: Seamless Maintenance of Digital Twin CLUSTERED DIGITAL TWIN PLATFORM Need maintenance 3 Create clone 4 Synchronize TWIN1 data into clone 5 Shut down Twin 1 for maintenance 6 Initiate maintenance of product 1 2 TWIN1 Clone of TWIN1 Twin Fault detection Actual product ma cloud 4
  16. 16. CDT: Seamless Maintenance of Product Component (Turbine blades) and load shifting CLUSTERED DIGITAL TWIN PLATFORM 3 Need maintenance 4 Alarm to operators for fault detection 6 Load shifting to another product 5 Initiate maintenance of product 1 2 TWIN 1 Alarm Actual product repair, replacement cloud Blade fault1 TWIN 2 Plug and play Substitute Product
  17. 17. CDT: Sample health monitoring (diagnostic operations) using CDT Infrastructure
  18. 18. CDT: Customer Value Addition Value addition to customer: Flexibility of operations, maintenance using digital twins clustered infrastructure. Prioritization of products maintenance post release, resulting in better use of time and in cost savings of operations. Resource optimization for digital twins. More Dollar savings for installing Digital Twins for their products! Better ROI in digital twins technology which results in saving more dollars ($) per digital twin investment for a customer. Scalable digital twin infrastructure.
  19. 19. Clustered Digital Twin : Additional References
  20. 20. Drawing 1: relationship between Product, Twin and CDT
  21. 21. Drawing 2: CPU and Memory Provisioning at Run time using CDT
  22. 22. Drawing 3: Load Balancing and Resource sharing among twins
  23. 23. Drawing 4: A Problem Scenario#2
  24. 24. Drawing 5: A Solution to Scenario#2
  25. 25. Drawing 6: Scenario#3 Seamless maintenance of digital twin
  26. 26. Drawing 7: Scenario # 4 Seamless on the fly product maintenance -PLUG and PLAY
  27. 27. Thank You !

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