Research And Application Of Optimization Of Coal Mine Personnel Location Algorithm

During the coal mining process,the working environment of the tunnel is complex and changeable,and it is impossible to directly use the existing indoor positioning technology to accurately obtain the location information of the underground personnel.Especially after the mine disaster,the rescue personnel cannot accurately obtain the location information of the trapped personnel,which makes the rescue work difficult to implement.Therefore,it is very important to optimize a high-precision underground personnel positioning algorithm.The thesis uses ZigBee wireless sensor network as the information collection and transmission medium to study the location of underground personnel.Aiming at the shortcomings of the positioning accuracy of the traditional positioning algorithm in the underground environment,an improved personnel positioning control algorithm suitable for the underground environment is proposed,and its feasibility is verified.Firstly,the positioning algorithm based on ranging and-the non-ranging positioning algorithm are analyzed.It is found that the positioning algorithm of RSSI ranging and the centroid positioning algorithm are combined,and the positioning accuracy can be improved by finding an optimal weight,and then how to find the optimal weights were studied.Due to the influence of noise factors and environmental attenuation factor when using the RSSI principle in the actual environment,the paper uses the Kalman filter algorithm to reduce the influence of noise factors on the RSSI value,and constructs an environment model to calculate the current environmental attenuation factor value to eliminate the impact on the accuracy of RSSI ranging.The model uses four reference nodes to form a closed area enclosed by the ZigBee wireless sensor network.The relationship between the signal strength value and the distance is used to calculate the distance between the reference node and the mobile target node.When the mobile target node receives the distance between two reference nodes and its own node,a coordinate can be determined,so the square of the reciprocal of the average of the two distances is used as the weight of the improved algorithm to improve the accuracy of the positioning algorithm.In the simulation experiment,the average error of this improved algorithm is between 0.41 meters and 0.85 meters,and the average error is reduced by 0.1853 meters.Based on the simulation experiment,the thesis uses the ZigBee module kit development platform as the test experiment platform,simulates the underground test environment in the experiment building,and arranges four reference nodes and a moving target node to verify the above algorithm.The test results are consistent with the simulation results.The average positioning accuracy is between 0.55 meters and 1.05 meters,which fully meets the technical requirements of the underground personnel positioning system.