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