Digital Twin – Modeling Interrelated Devices
To model large Smart Factory IoT implementations, new standards are needed to address: �
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Extend the basic digital twin representations to include child twin hierarchies and a behavior modeled as logic rules. Cloud vendors would need to expand current frameworks to support these advanced models or provide comprehensive API to allow third party software companies to extend them. Leverage industry standards such as OPC UA Information Modeling to capture the complex relationship between devices and automatically generate the representation of the digital twin for existing installed base.
SUMMARY
� Cloud technologies have enabled a new era of possibilities for IoT solutions( low cost, high storage and compute, high throughput messaging, security, etc.). � Digital Twin is the core of an IoT strategy for Connected Devices and Smart Factory. � Most Cloud vendors already provide a platform for Digital Twin implementations
( Amazon CoreGreenGrass 7, Microsoft Azure IoT Hub 8, Google IoT 9, etc.) � Currently, cloud IoT framework only support atomic device representations relying on proprietary back end code to model complex systems. � Plant floor standards like OPC UA, SensorML, S95, etc., already provide a logical model for large scale devices and their relationships. � New standards are needed to port these plant floor models to the cloud IoT frameworks, thus accelerating the implementation of Smart Factory IoT solutions.
� Cloud frameworks should expand their IoT frameworks to expedite IoT solutions. Alternatively, third party software vendors can provide this extension of top of the cloud IoT frameworks.
� These new standards are not just to port existing plant floor standard but to embrace the enormous potential that public clouds bring to IoT.
7 https:// aws. amazon. com / greengrass /
8 https:// docs. microsoft. com / en-us / azure / architecture / guide /
9 https:// cloud. google. com / solutions / iot /
- 94- March 2018