The Coal Mine Gas Monitoring System Research Based On ZigBee Technology

Coal mine gas monitoring system is the important guarantee of the coal mine safety production.Traditional mine gas monitoring system mainly built on the basis of the cable communication, communication link easily influenced by borehole field environment,Sensor nodes access in the net very inflexibly, the monitoring scope is very narrow, so the system can not adapt to the needs of the modern efficient mine production. ZigBee wireless sensor network technology with its low cost, low power consumption, large capacity of network, network advantages of strong adaptability, is widely used in low data transfer rate of industrial occasions.This paper proposes a alternatives to part of the traditional coal mine monitoring and control system of cable transmission by ZigBee wireless sensor network.ZigBee wireless sensor network technology was applied to the gas, temperature and humidity data acquisition and realize the power control system, so as to improve the reliability and flexibility of gas monitoring system, expanding the scope of monitoring system.This article has two innovation point:Network transmission part introduces: networking process and control methodof the nodes’ joining in, the algorithm of hierarchical network, topology control, design the network cycle checking mode of workflow and data fusion method, analysising of downhole environment interference factors to ZigBee wireless network, puts forward the basic principles of downhole ZigBee wireless network’s deployment; The neural network method is used to implement FIR filter in data processing part to filter the communication data.The digital technology developing rapidly In recent years,The problem that we cannot use simulation technology to solve the problem of signal processing,can be solved by Digital technology. FIR Filter has strict phase frequency characteristics, Can guarantee the signal would notbe obvious distortion during transmission, Plays an important role in signal processing. The paper using neural network method,choose cosine basis function as the excitation function,obtaining weight Values through continuous training for FIR filter design.