Application Research Of Z-Wave Underground Personnel Positioning System

In order to monitor the location information of coal mine personnel more accurately,provide the basis for the rescue after the coal mine disaster,and provide the guarantee for the coal mine management.Based on the analysis of the underground wireless signal transmission characteristics,puts forward a coal mine personnel positioning system based on Z-Wave technology,the effective monitoring of the underground personnel information,reduce accident casualty rate.The system uses new wireless communication Z-Wave technology to design network topology and layout the location of underground reference nodes in network form.The system uses C sharp programming language to develop the system software,and uses ArcGIS software to draw the custom map of underground coal mine to realize the display function of the system personnel position.In this paper,the theory of rectangular waveguide and ray tracing method are used to study the wireless signal transmission path of underground mine roadway.According to the characteristics of wireless signal transmission in the underground,the RSSI weighted centroid positioning algorithm is designed to locate the personnel.Because the path loss is determined by the expert experience in the traditional RSSI positioning algorithm,the interference of human factors in the system is increased,and the positioning results are greatly influenced by the expert experience and other factors.Therefore,this paper proposes a method for real-time updating path loss coefficient of the RSSI algorithm is improved,and the improved RSSI algorithm and weighted centroid localization algorithm is proposed by combining RSSI weighted centroid algorithm,in the premise without increasing system cost,improves the positioning accuracy.In this paper,the accuracy of the algorithm is proved by MATLAB simulation.At the same time,the simulation experiments are made by using the laboratory corridor to simulate the underground tunnel.The results show that the system can achieve accurate personnel positioning.