Study on the personnel localization algorithm of the underground mine based on RSSI technology

According to characteristics of the engineering arrangements and the operational environment of the underground metal mine, the field experiment of RSSI distance measurement was carried out in underground mine. Based on the field experiment results, the RSSI-distance relation model was established and the laboratory experiment of the BP neural network localization model was carried out. Experimental results show that the calculation result of the X direction by using the BP neural network localization model was more accurate than by using the trilateration localization model, while the calculation results of the Y direction was in reverse. The localization accuracy was improved and the interference of abnormal data was reduced by using the combine localization model.