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This part of ISO 23247 specifies digital twin composition in manufacturing by defining principles, showing methodologies, and providing use case examples of configuration, communication, combination and collaboration between digital twins during manufacturing
The digital twin in manufacturing is a virtual representation of the physical model of asset, process, system, or service by collecting data from manufacturing, maintenance, operations, and operating environments. The digital twin is a living model that continuously updates and changes as their counterpart changes to represent near real-time status, working condition or position.
To realize digital twin in manufacturing, digital representation of the resources are to be made to detect anomalies in the manufacturing resources. The digital representation provides information of the resources (i.e., personnel, equipment, physical asset, material, process segment, etc.) and the dynamic behaviours of the resources. It is an understanding of the characteristics and capabilities of the resources and how the resources operate and respond throughout production lifecycle. The digital representation constantly communicates with the manufacturing resources through exchange of operational and environmental data. The digital twin can be used for systematic identification, optimize operation, near-accurate monitoring, adapt to changes, etc.
ISO 23247 addresses digital twin manufacturing in terms of digital representation of manufacturing resources including modelling of physical configuration and dynamic changes. The ISO 23247 series contains the following published parts;
- Part 1: Overview and general principles
- Part 2: Reference architecture
- Part 3: Digital representation of manufacturing elements
- Part 4: Information exchange
This part proposes to describe digital twin composition in manufacturing by defining principles, showing methodologies, and providing use case examples, so that digital twins can be configured for communication, collaboration and interoperation during manufacturing. With digital twin composition, digital twins are combined to enable more accurate, re-usable, scalable and sustainable manufacturing
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