Research On Hoist Operation State On-Line Monitoring And Fault Diagnosis System

The mine hoist is large mechanical and electrical equipment which is responsible for raising and lowering materials and staff in coal mine production. Therefore, the security and stable operation of the mine hoist, not only related to coal production efficiency, but also ensured the safety of mine workers. The hoist operation state on-line monitoring and fault diagnosis system provides a hoist running state visual monitoring platform and a robust fault diagnosis method to enhance the security and stable operation of the hoist.This article includes two parts of designs which are hoist condition monitoring and fault diagnosis. Firstly, the account of the composition of mine hoist system is detailed and its common faults is analyzed. The objects which need to be monitored and diagnosed are determined:the spindle apparatus, electronic control system, hydraulic system and lubrication system. Secondly, based on the mining conditions and the character of the object, the industrial Ethernet is chosen for remote communication, the hoist remote monitoring and fault diagnosis is implemented in the control room, and the system hardware selection and on-site installation and commissioning is achieved. The software is an interface for system hardware interaction, the PLC program achieves a relay station reads the sensor signals. PC configuration based on the Kingview software completed the information transmission between the PC unit and the relay station as well as the design of visual monitoring platform which have a certain data processing functions:preservation, query, and print of historical data, alarm of state parameter over limit, the performance test of configure system, detailed record of the event parameters and user management functions. Finally, the details of particle swarm optimization algorithm and support vector machine is introduced and a fault diagnosis model based on particle swarm optimization algorithm and support vector machine is established. The test data verified that the model has better performance on fault diagnosis.This system includes the real-time monitoring and fault diagnosis of the state parameters of three hoists systems in Chengzhuang Mine of Jincheng Anthracite Mining Group. Each hoist unit contains three parts, which are acquisition of sensor data, data processing of the relay station, and the PC configuration. The control room reads each hoist unit data and unified monitoring. The fault diagnosis model based on MATLAB platform completed the hoist failure diagnosis.This system integrates the condition monitoring and fault diagnosis, implements the transformation from existing manual monitoring and recording and experience fault diagnosis to online real-time monitoring and scientific diagnosis, achieves the modern management of the mine hoist.