A Fire Protection Robot System Based on SLAM Localization and Fire Source Identification

When faced with various dangerous environments such as high temperature, lack of oxygen, and heavy smoke, fire-fighting robots can replace rescuers to enter the scene of the accident to extinguish fires and reduce casualties. This paper proposes a method combining Gmapping SLAM algorithm and fire source identification image processing algorithm to realize the functions of fire-fighting robot autonomous navigation and fire source identification detection. SLAM construction uses RBPF algorithm and effective particle number. The identification and location of the fire source point utilizes a series of image processing techniques. It can be seen from the simulation results that the map boundary established by the SLAM algorithm is obvious, and the terrain environment is well reproduced, and the positioning of the robot is realized. The fire source identification algorithm accurately identifies the area and contour of the flame, and realizes the intelligent detection of the fire source point. In addition, the fusion of the two algorithms enables the fire-fighting robot to independently detect the fire source in the indoor environment, effectively preventing the occurrence of fire accidents.