Study On Health Status Monitoring System Of Multi-rope Friction Hoisting System

As the link between underground production system and surface plant,the mine hoisting system is used to elevate coal,gangue,workers and equipment.Multi-rope friction hoist is the main hoisting mode adopted in large mines,playing an important role in mine production.Once security incident happens,it may not only result in equipment trouble and production pause,but also endanger the staff lives.Hence,health status monitoring is an essential subject with practical significance to guarantee the safe operation of mine hoisting system.This dissertation is supported by National Natural Science Foundation of China“Healthy Monitoring of Super Deep Vertical Shaft Hoist System Based on WSN”(No.51275513),where the dynamic model of friction hoisting system and strain distribution of main shaft are studied on normal and faulty conditions,and health status monitoring system for vertical shaft hoisting system is established based on tension difference of hoisting ropes and main shaft strain field as well as vibration characteristics of hoisting system.The novel work provides theoretical foundation and technical support for the surveillance and prevention of hoisting system fatalities.Firstly,the dynamic model of parallel hoisting system with tension balance device is established considering the damping of automatic balancing device and the condition of tension balance device reaching the limit position;Lagrange multiplier is applied to deal with the boundary conditions to numerically solve the longitudinal vibration response and tension of cables under different working conditions;Simulation model by AMESim is established to verify the correctness of the theoretical model.This provides theoretical support for predicting health status of hoisting system based on wire rope tension.Secondly,the correlation model of the hoisting system status is studied based on stress field of main shaft,because the variable of the stress field on main shaft can reflect the loading conditions of hoisting cable,and then represent the working status of hoister.Hence,the one-dimensional higher-order model of main shaft is deduced based on Carrera unified formulation.Then the correlation model of the hoisting system status is built based on stress field of main shaft with the transfer model of characteristic forces between hoisting cables and the hoisting drum,which offers a method for evaluating the load condition of hoisting system based on main shaft stress field.Thirdly,considering the special working conditions and structure of multi-rope friction hoisting system,ensemble empirical mode decomposition(EEMD)is introduced to separate and analyze useful vibration features from the complex collected sensor signals.Thus,on the basis of the vibration characteristics of the spindle device fault,a fault diagnosis method based on multi-sensor feature fusion is proposed,which provide theoretical methods for fault diagnosis of the main bearing in hoisting system.At last,the state monitoring method of multi-rope friction hoisting system based on the comprehensive analysis of the sensor signals such as hoisting wire tension,spindle torque and vibration of the spindle device is put forward,and the corresponding software and hardware system is developed.Faults such as overloaded container and different wire rope tension is effectively detect,which technically guarantee the safety of hoisting container.