ISO 23247-1 provides an overview and general principles of a digital twin framework for manufacturing.
ISO 23247-1 specifies requirements of the digital twin framework for manufacturing and provides terms and definitions for automation systems & integration.
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The type of manufacturing supported by an implementation of the ISO 23247 framework depends on the standards and technologies available to model the observable manufacturing elements. Different manufacturing domains can use different data standards. As a framework, ISO 23247-1:2021 does not prescribe specific data formats and communication protocols.
ISO 23247-1 on digital twin framework for manufacturing is useful for:
A digital twin assists with detecting anomalies in manufacturing processes to achieve functional objectives such as real-time control, predictive maintenance, in-process adaptation, Big Data analytics, and machine learning. A digital twin monitors its observable manufacturing element by constantly updating relevant operational and environmental data. The visibility into process and execution enabled by a digital twin enhances manufacturing operation and business cooperation.
A digital twin can exist across the entire product life cycle and leverages aspects of the virtual environment (high-fidelity, multi-physics, external data sources, etc.), computational techniques (virtual testing, optimisation, prediction, etc.), and aspects of the physical environment (historical performance, customer feedback, cost, etc.) to improve the performance of a manufacturing system.
ISO 23247 series defines a framework to support the creation of digital twins of observable manufacturing elements including personnel, equipment, materials, manufacturing processes, facilities, environment, products, and supporting documents.
ISO 23247-1 provides benefits of the digital twin for manufacturing in following ways:
ISO 23247