Design Of Remote Monitoring And Fault Diagnosis System For Mine Hoist Based On Network

Mine hoist is one of the key equipments in the coal mine security monitoring, whichplays an important role in the coal production. Establishing and improving remote centra-lized monitoring and fault diagnosis system for hoists is of great importance to ensure coalmine production safety.Mine hoist mechanical system and braking system are chosen as the research object,and a remote monitoring and fault diagnosis system for mine hoists is established. Thesystem is established based on Intranet and Internet, which solve the problems existing intraditional monitoring methods, such as huge manpower investment and unable to remoteassistance, and improve security level of production and management efficiency.The main research contents include four points.(1) Monitoring parameters and signalacquisition method are presented, and signal acquisition system is set up, on basis of ana-lyzing the operating principle and failure mechanism of mine hoist.(2) According to thefunction requirement of the system, the network architecture of the system is constructed,including developing soft program using LabVIEW and determining the network commu-nication method.(3) In the light of the characteristics of mechanical vibration signals,wavelet threshold denoising and HHT are used for signal feature extraction. Firstly, obtainthe optimal parameter values of wavelet threshold denoising by MATLAB simulation.Secondly, making use of extreme continuation method and correlation coefficient to wea-ken the influence of end effect and eliminate false IMFs in HHT respectively. Then, thecorrectness and effectiveness is proved by analyzing the measured fault signal.(4) Thefault judgment method of braking system is studied and used to build the fuzzy fault treeof braking failure. The result of fault tree qualitative and quantitative analysis is used toguide the troubleshooting and maintenance.(5) The fuction modules of the system are de-veloped and implemented, including system management module, data management mod-ule, and fault diagnosis module for machinery system and braking system.Simulation and field experiment results show that the system has the advantages ofmultiple functions, excellent expending capacity and low-cost, and fault diagnosis me-thods are effective. The study lays a good foundation for the future study and practical ap-plications.