Digital twin forward monitoring and reverse control method for intelligent manufacturing systems
In addressing the monitoring and control issues within intelligent manufacturing systems,a bidirectional digital twin management approach tailored for industry was introduced.The forward aspect of this approach involved creating twin entities through data mapping to offer monitoring services,while the reverse aspect employed simula-tion-based control optimization to enhance the behavior of physical entities,which achieved a fully closed-loop control over the manufacturing process.By integrating real-world physical data and virtual twin data within a cyber-physical system,a multi-layer architecture was established.A multi-scale and multi-level twin modeling method was devised,and coupling model-based definitions and finite state machine techniques were integrated to construct twin scenarios of physical attributes and behavioral actions using the Unreal Engine.By amalgamating artificial intelligence with behavior simulation models,the contextual data was incorporated into functional services,so that the system could effectively harness fused data,analyze and evaluate equipment health status and generate simulated behavioral controls for the manufacturing process.Finally,a platform was developed for a component manufacturing system to validate the maturity of the proposed model and the reliability of the twin technology.
intelligent manufacturing systemdigital twinsprognostication monitoringretrospective control
万方数据
维普
