无人机在危险化学品事故侦检中的应用研究

为提升灾害现场无人机的侦检应用功能，以无人机在现场侦检中存在的问题入手，采用CFD 仿真模拟观察无人机悬停状态下风场情况，拟定了无人机侦检模块的安装位置。以氨气为例，结合试验场地基本信息，构建气体扩散数值模拟方案。通过对比静态侦检仪器与无人机机载模块的数据信息，验证了无人机侦检采集数据的科学性；通过对比无人机机载模块侦检数据与仿真模拟数据，提出了“无人机先期侦检，CFD 后期预测”的侦检方法。研究结果显示，该方法科学可行。

Research on the application of UAV Detection Function in incidents of hazardous chemicals

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.