Forest Fire Fast Response Method Based on Optimized UAV Algorithm

Forest fire is an essential disaster for forestry in the world. It is sudden and random and causes significant loss in a short time. Using effective and scientific methods to carry out firefighting in time can minimize fire loss. This paper establishes a model based on the K-means and multiple traveling salesman problem (MTSP) algorithms for purchasing surveillance and situational awareness (SSA) UAVs and radio repeater UAVs with optimal quantity ratios. The model should balance its capabilities and security with economic considerations, "reconnaissance communications mission requirements" and "terrain".