Monitoring the operational status of coal mining machines based on digital twin technology

This study utilizes Matlab Simulink as the core platform, integrated with MapleSim Insight, to enable real-time monitoring of the operational status of the coal mine machine based on digital twin technology. The framework encompasses the physical entity, virtual entity, data layer, service interface, and data transmission. Real-time data is collected via sensors and intelligent I/O systems, while data interaction between the physical and virtual systems is achieved through protocols such as OPC. Ultimately, 3D real-time monitoring visualization is realized in MapleSim Insight. Tests conducted with 30 seconds of operational data show that the error in the body-arm angle is only ±0.04°, with a fitting accuracy of 98.5% and a data latency of less than 0.2 seconds. This system accurately and real-timely reflects the operational status of the coal mine machine, meeting the integrated requirements for monitoring and simulating complex coal mine machine operations.