Design of an Integrated Location System for Fire Detecting Robot

In order to reduce the loss caused by fires in environmental sensitive regions, an integrated location system of an autonomous robot that is used to detect fire is studied. Based on the analysis of location methods, such as the global positioning system (GPS), inertial navigation system (INS), dead reckoning (DR) system and the vector electronic map, GPS and INS are integrated in the location system of the autonomous fire detecting robot. The GPS subsystem and the INS subsystem of the GPS/INS integrated location are designed. Kalman filter is used in the GPS/INS integrated location system. Data fusion of INS/GPS integrated location is simulated. The results show that the fusion location method can improve the movement precision and location reliability of fire detecting robot.