Design of Dynamic Programming Algorithm in UAV Aviation Emergency Surveying and Mapping Information System

With the rapid development and widespread application of UAV (Unmanned Aerial Vehicle) technology, UAV aviation emergency mapping information systems are playing an increasingly important role in many fields such as disaster monitoring, real-time mapping, and emergency rescue. This article proposes a solution based on a dynamic programming algorithm to address issues such as path planning, energy consumption, and mapping accuracy in the UAV aviation emergency surveying and mapping information system. This article establishes a UAV aviation dynamic planning model and designs an efficient solution by analyzing factors such as the UAV's flight environment and mapping accuracy. In the experiments of performance test and mapping accuracy test, when the number of obstacles is 50, the UAV under this algorithm takes 370s to reach the destination, while the ant colony algorithm and genetic algorithm take 600s and 700s. Compared with the ant colony algorithm and genetic algorithm, the algorithm in this article saves 230s and 330s. The algorithm in this article improves the optimization path and real-time performance of the UAV aviation emergency surveying and mapping information system, improves the UAV's aviation emergency mapping and danger avoidance capabilities, and provides strong technical support for some rescue work and other applications. In addition, the algorithm in this article can also improve the real-time aspect of the UAV aviation emergency mapping information system, allowing UAV to quickly and accurately reach designated locations in complex and unknown environments.