digital_twin_guc_ie _avinashmisra_&_avinashneema
TRANSCRIPT
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Siemens Global university challenge 2016: enabling the digital twin
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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 NeemaAvinash Chandra Misra Business School
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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.
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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 TwinsReduce 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).
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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).
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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.
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CDT: SWOT and Positioning analysis Vs Competitors(GE’s Predix)
AB 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, and memory provisioning.
D
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CDT: SWOT and Positioning analysis Vs Competitors.. continued
AB 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
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CDT: Big Picture
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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 # 2Real
Devices
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CDT: Big Picture WITH Clustered Digital Twin (CDT)Design
Core 1M1
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 3M3
Core 2M2
Core 4M4
Real Devices
Dynamic Core and memory
Allocation based on
Hotness of devices
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CDT: Load Balancing in Customer Environment
Core 1M1
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 3M3
Core 2M2
Core 4M4
Real Devices
Dynamic Core and memory
Allocation based on
Hotness of devices
Load Balancing
HOT COLD
Best Practices Sharing
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MASTER CONTROL UNIT
DIGITAL TWIN ACTUAL PRODUCTWith 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.
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CDT: Resource Optimization and Cost savingSoftware 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.
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CDT: Seamless Maintenance of Digital TwinCLUSTERED 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
12
TWIN1
Clone of TWIN1
Twin Fault detection
Actual product ma
cloud
4
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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 1Alarm
Actual product repair,
replacement
cloud
Blade fault1
TWIN 2
Plug and play
Substitute Product
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CDT: Sample health monitoring (diagnostic operations) using CDT Infrastructure
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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.
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Clustered Digital Twin :Additional References
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Drawing 1: relationship between Product, Twin and CDT
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Drawing 2: CPU and Memory Provisioning at Run time using CDT
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Drawing 3: Load Balancing and Resource sharing among twins
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Drawing 4: A Problem Scenario#2
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Drawing 5: A Solution to Scenario#2
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Drawing 6: Scenario#3 Seamless maintenance of digital twin
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Drawing 7: Scenario # 4 Seamless on the fly product maintenance -PLUG and PLAY
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Thank You !