Mine personnel location system based on Internet of things

Abstract

For the problems that the RSSI fingerprint location algorithm was easily influenced by underground environment, and it is prone to coordinate jumps, and the pedestrian dead reckoning algorithm(PDR) had accumulative error. This paper proposes a fusion personnel location method based on RSSI fingerprinting algorithm and PDR algorithm. The positioning terminal uploads the collected inertial sensor data and RSSI data to location server on the ground through the underground WiFi network. The location server uses particle filter to fuse the RSSI fingerprint location algorithm and the location information of the PDR location algorithm to achieve the positioning of the underground personnel. The results shows that the proposed fusion algorithm cannot only improve the environmental interference caused by the use of the RSSI fingerprint algorithm alone, but also avoid the cumulative error caused by the use of the pedestrian dead reckoning algorithm alone. The average location error is 2.5m, achieving the accurate location of underground personnel.