Coal Mine Ventilator Monitoring System And Fault Diagnosis Under The Digital Mine

Coal mine ventilator is one of the important equipment for coal mine safetyproduction, so the fault features of the establishment of diagnostic system is verynecessary. According to the common fault of the mine ventilator can collect faultsymptom and type, can use the acquisition of fan status monitoring system of faultsample data, and use the MATLAB software to train the artificial neural network,determine the output vector by the neural network, the diagnosis of common fault offan. The study can be used as the expansion and extension of configuration softwarefunction, make it better for monitoring and diagnosis of the key equipment in coalmine.This paper first introduces the concept of industrial Ethernet, industrial Ethernetbased on Siemens instructions, which lays the theoretical foundation for the statemonitoring system. Then the hardware configuration of monitoring system isdetermined according to the actual condition of fan, to design the monitoring systempicture using the configuration software, and through the analysis of thecharacteristics of common database select the appropriate database, established inaccordance with the fan monitoring system design requirements.This paper finally introduces the MATLAB software, through softwareprogramming to extract fault diagnosis parameter database and using the neuralnetwork toolbox for training the neural network software itself, through a specificexample, can explain the accuracy and feasibility of the neural network faultdiagnosis.