ISO 23247-1:2021
Automation systems and integration — Digital twin framework for manufacturing — Part 1: Overview and general principles
This document provides an overview and general principles of a digital twin framework for manufacturing including:
— terms and definitions;
— requirements of the digital twin framework for manufacturing.
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms, definitions and abbreviated terms
3.1 General terms
3.2 Terms related to digital twin for manufacturing
3.3 Abbreviated terms
4 Overview of digital twin for manufacturing
4.1 Concept of the digital twin for manufacturing
4.2 Applications of the digital twin for manufacturing
4.2.1 Real-time control
4.2.2 Off-line analytics
4.2.3 Predictive maintenance
4.2.4 Health check
4.2.5 Engineering design
4.2.6 Production control
4.2.7 Video surveillance
4.3 Benefits of the digital twin for manufacturing
4.3.1 In-loop planning and validation
4.3.2 Production scheduling assurance
4.3.3 Enhanced understanding of manufacturing elements
4.3.4 Dynamic risk management
4.3.5 Part/assembly traceability
4.3.6 Process traceability
4.4 Observable manufacturing elements
4.4.1 Personnel
4.4.2 Equipment
4.4.3 Material
4.4.4 Process
4.4.5 Facility
4.4.6 Environment
4.4.7 Product
4.4.8 Supporting document
5 General principles of the digital twin framework for manufacturing
5.1 Overview
5.2 Limitations and boundaries of the digital twin framework for manufacturing
5.3 Requirements of the digital twin for manufacturing
5.3.1 Accuracy
5.3.2 Communication
5.3.3 Data acquisition
5.3.4 Data analysis
5.3.5 Data integrity
5.3.6 Extensibility
5.3.7 Granularity
5.3.8 Identification
5.3.9 Management
5.3.10 Product life-cycle
5.3.11 Security
5.3.12 Simulation
5.3.13 Synchronization
5.3.14 Viewpoint
5.3.15 Hierarchical modelling of digital twin for manufacturing
5.4 High level outline for framework implementations
Annex A (informative) Digital twins and the product life-cycle
Bibliography
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms, definitions and abbreviated terms
3.1 General terms
3.2 Terms related to digital twin for manufacturing
3.3 Abbreviated terms
4 Overview of digital twin for manufacturing
4.1 Concept of the digital twin for manufacturing
4.2 Applications of the digital twin for manufacturing
4.2.1 Real-time control
4.2.2 Off-line analytics
4.2.3 Predictive maintenance
4.2.4 Health check
4.2.5 Engineering design
4.2.6 Production control
4.2.7 Video surveillance
4.3 Benefits of the digital twin for manufacturing
4.3.1 In-loop planning and validation
4.3.2 Production scheduling assurance
4.3.3 Enhanced understanding of manufacturing elements
4.3.4 Dynamic risk management
4.3.5 Part/assembly traceability
4.3.6 Process traceability
4.4 Observable manufacturing elements
4.4.1 Personnel
4.4.2 Equipment
4.4.3 Material
4.4.4 Process
4.4.5 Facility
4.4.6 Environment
4.4.7 Product
4.4.8 Supporting document
5 General principles of the digital twin framework for manufacturing
5.1 Overview
5.2 Limitations and boundaries of the digital twin framework for manufacturing
5.3 Requirements of the digital twin for manufacturing
5.3.1 Accuracy
5.3.2 Communication
5.3.3 Data acquisition
5.3.4 Data analysis
5.3.5 Data integrity
5.3.6 Extensibility
5.3.7 Granularity
5.3.8 Identification
5.3.9 Management
5.3.10 Product life-cycle
5.3.11 Security
5.3.12 Simulation
5.3.13 Synchronization
5.3.14 Viewpoint
5.3.15 Hierarchical modelling of digital twin for manufacturing
5.4 High level outline for framework implementations
Annex A (informative) Digital twins and the product life-cycle
Bibliography