Abstract:
To address the limitations of existing industrial wire rope damage monitoring systems, a remote intelligent monitoring system for wire ropes was designed and implemented. This system was based on LabVIEW, Flask, and Vue.js. It encompassed multiple functions such as sensor data acquisition, signal processing, visualization, remote detection, and data analysis to meet the comprehensive requirements of wire rope inspection. The system employed LabVIEW for sensor data acquisition and real-time processing, Flask for building the backend server and data processing, and Vue.js for frontend visualization and user interface. This allowed engineers and operating personnel to remotely monitor the status of wire ropes and respond promptly. Testing was shown that this comprehensive system design not only enhanced the quality control of wire ropes in industrial production but also significantly improved remote monitoring capabilities, providing engineers with a comprehensive real-time monitoring and management tool.