关键词: 无人机, 有毒气体, 事故侦检, 数值模拟

Abstract: In order to improve the detection function of the UAV at disaster site, this paper starts with the analysis of the problems existing in the detection of the drone, uses CFD simulation to observe the wind field condition of the drone hover state, and formulates the installation location of the UAV detection module. Taking ammonia as an example, combined with the basic information of the test site, the numerical simulation scheme of gas diffusion isconstructed. By comparing the data information of static detection instrument and UAV module, the scientific nature of the detection and collection data of the drone is verified, and the detection method of "UAV detection previously , CFD prediction later on" is proposed by comparing the detection data of the unmanned aerial module with the simulation data of the aircraft carrier module. The research provides some theoretical and practical guidance for the scientific detection of UAV at disaster sites.

Key words: UAV;toxic gas, incident detection, CFD