The invention relates to the technical field of fire source detection, and discloses a fire source detection identification and alarm
system and method for an intelligent fire-fighting
robot, and the method comprises the steps: employing a
deep learning target detection model, carrying out the high-precision identification of a fire source based on the data of a multi-
modal sensor, extracting the initial three-dimensional position coordinates of the fire source, and providing basic data for subsequent tracking; besides, the fire source is dynamically tracked based on a
Kalman filtering algorithm, the fire source spreading trend is predicted in combination with the motion state of the fire source, a
fire behavior development prediction map is further constructed, and accurate pre-judgment of the
fire behavior spreading range is achieved. And according to a fire source identification result and a
fire behavior development prediction map, a fire alarm strategy is optimized, an alarm level, a personnel evacuation
route and fire-fighting
resource allocation are dynamically adjusted, and the intelligent degree of fire
emergency response is improved. According to the technical scheme, the accuracy and real-time performance of fire monitoring can be effectively improved, the intelligent level of
fire prevention and control and emergency disposal is improved, and casualties and property losses are reduced.