Copper industrial product monitoring system based on digital twin technology

This paper describes the design of a monitoring system for copper industrial products that uses digital twin technology. The system's objective is to monitor the dimensions and surface conditions of copper components in industrial settings accurately. The paper provides a comprehensive overview of the system's structure and functionality, including the design of the visualization dashboard. It also explains the implementation of the data acquisition, processing, analysis, and visualization modules. Additionally, this text discusses the use of visual detection techniques for dimension inspection and defect recognition in detail. The system's architecture incorporates advanced sensing technologies and computational algorithms to ensure accurate monitoring and assessment of copper product attributes.