Data Transmission And Localization Of Non-coal Mine Safety Monitoring In Wireless Sensor Network

With the rapid development of economy,the shallow mineral resources of non-coal mine are gradually exhausted,and deep mining has become the inevitable choice to obtain resources.The mining depth of many non-coal mine has reached or exceeded 600 m,forming the conditions of deep mining.Because the environment of deep mine roadway is very complex,there are adverse environmental factors,such as high temperature,high humidity,high stress,high permeability and so on,which often lead to the occurrence of fire,water inrush,rock burst and other catastrophic accidents.The existing deep mine roadway wired monitoring system consumes a lot of human and material resources in deployment and monitoring,and its expansibility and reliability are poor,and it is not easy to maintain,which is not conducive to the long-term development of deep mine safety monitoring.Wireless Sensor Network(WSN)flexible and changeable self-organizing network mode can realize real-time dynamic monitoring of large-area complex environment.This paper takes deep mine roadway of non-coal mine as the research object,applies WSN technology to safety monitoring,combines with deep mine roadway of non-coal mine structure characteristics and safety monitoring requirements,studies the localization technology and data transmission technology in the application of WSN,and completes the following work:An IMCL-GABC localization algorithm for WSN safety monitoring of deep roadway is proposed.In the deep mine roadway,the movement state of underground personnel and working vehicles is random,and the environment is constantly changing.Stable,accurate and long-term effective mobile node localization technology is very important to the safe production of non-coal mines.Firstly,the movement speed and direction of the personnel or equipment to be located at the current moment are estimated by the grey prediction model,and the sampling area is determined according to the structural characteristics of the deep mine roadway.Secondly,the artificial bee colony algorithm is introduced to filter out the unqualified samples.Finally,the sample weight is optimized by motion consistency,so as to complete the localization of the personnel or mobile equipment to be located,so that the mine accident can be rescued in time and the loss of life and property can be reduced.A GTC-EB data transmission algorithm for WSN safety monitoring of deep roadway is proposed.In the safety monitoring of deep mine roadways,the effective and reliable transmission of sensor node monitoring information is inseparable from data transmission technology.Considering the limited energy of WSN and the safety monitoring requirements of deep mine roadway in non-coal mine,clustering is used to reduce the amount of data transmission and optimization cost.In the stage of cluster head election,two parameters,the residual energy of nodes and the distance between the node and the Sink,are introduced to optimize the threshold function,so as to make the cluster head election more reasonable.The hybrid genetic tabu search algorithm is used to search for the optimal multi-hop path with the most balanced energy consumption and the shortest transmission distance during data transmission,so as to balance network energy consumption and prolong network life.The simulation results show that the two proposed algorithms can effectively realize the real-time and effective localization of underground personnel and mobile equipment in the simulation environment of non-coal mine deep roadway,with good data transmission performance and long monitoring period.