Study On Three Key Technologies Of Wireless Sensor Network Underground Mine Monitoring System

ABSTARCT : In recent years,with the further exploitation of mineral resources in China,the surface and shallow mineral resources have been almost exhausted,and the mining of mineral resources has changed from shallow and surface mining to deep well mining.At present,the depth of many large-scale coal mines in China has reached over 800 meters,more than 30 metal mines have entered the depth more than 1000 meters underground.With the continuous increase of mining depth,the underground mining environment will be continuous deteriorate.In deep well mining where is always to be high temperature,high humidity,turbid air,and accompanied by various risks,such as roof fall,rock burst,water inrush,etc.,which poses a serious threat to the safety of underground mining workers.Nowadays most of the commonly used safety monitoring systems are wired systems,whose environmental adaptability and robustness can not meet the requirements of mine mining.In this paper,we applied a new kind oftech,Wireless Sensor Network,to mine environmental monitoring.And here we mainly studies three key technologies of wireless sensor network in mine: sensor nodes location,WSN routing protocol and data fusion,completed the following tasks:(1)Research on mine location algorithm based on social spider optimization.In this algorithm,the receiving signal strength difference differences with higher robustness is used to replace the received signal strength as the information source of localization,and the new optimization algorithm with fast convergence speed is applied to find the best estimation node's location faster and better,and the localized node is used as the anchor node to further reduce the localization error.The simulation results show that the proposed algorithm has a certain improvement in positioning accuracy and convergence speed compared with similar algorithms.(2)WSN routing algorithm based on region forward clustering and mobile node roadway.The spatial structure of mine roadways is analyzed and a regional forward clustering mechanism is proposed.This clustering method effectively avoids the phenomenon of data return,makes the nodes transmit data to Sink nodes in the shortest path,reduces unnecessary energy consumption,and finally uses mobile nodes to transfer data to further reduce energy consumption.Through the establishment of mathematical model and simulation experiments,it isproved that the algorithm can effectively reduce the energy consumption of data return and prolong the network life.(3)WSN data fusion algorithm based on unbiased gray Markov prediction.In order to reduce the redundancy of monitoring data,unbiased Markov prediction model is proposed by combining unbiased gray prediction with Markov chain,and threshold is set to control upload,reduce the redundancy of data in time dimension,reduce data volume and energy consumed by redundant data,prolong network life.The simulation results show that the algorithm is superior to other similar algorithms in reducing redundant data upload rate,and the network lifetime is effectively prolonged.Based on the above key technologies,a wireless sensor network monitoring system with low energy consumption,small positioning error and reliable data to meet the needs of mine safety monitoring is constructed.