What is ISO 23247-4 about?
ISO 23247-4 identifies technical requirements for information exchange between entities within the reference architecture.
The requirements for information exchange in the following networks in ISO 23247-4 are:
- User network that connects the user entity and the digital twin entity
- Service network that connects sub-entities within the digital twin entity
- Access network that connects the device communication entity to the digital twin entity and to the user entity
- Proximity network that connects the device communication entity to the observable manufacturing elements
Who is ISO 23247-4 for?
ISO 23247-4 on digital twin framework for manufacturing is useful for: 
- Manufacturing industries
- Data handling authorities
- Device manufacturers
- Application developers
Why should you use ISO 23247-4?
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 23247‑4 helps you in information exchange to enable services and applications such as visualization, process monitoring, statistical analysis, and simulation.
