Abstract: To achieve the highly efficient, scientific, precise firefighting and rescue, this paper proposes to use the drone to quickly construct the geographic information and three-dimensional model of the fire area, and to monitor the fire deterioration factors in real time to detect the spatial and temporal distribution of disaster factors during the fire development such as airflow, temperature field and toxic and harmful gases. Using the low-latency 5G network and fire development theory, the firefighting decision cloud center is established, and the real-time data collected by the drone is mathematical modeled and calculated based on cloud fire data center, to predict the fire possible evolution path and disaster development processes, to form dynamically adjustable fire rescue decision-making plan based on real-time disaster information. Finally, the 5G communication is used again to transmit the disaster information data perceived by the drone and dynamic rescue decision-making plan to firefighters in real time. The method can improve the firefighting and rescue efficiency, and avoid loss caused by disasters turning violent. 

Key words: UAV; firefighting and rescue, assistant decision making, smart firefighting