森林火灾救援无人机的设计研究

Design and research of forest fire rescue UAV

森林火灾救援工作面临着地形复杂、火情多变、基础设施缺乏等困难,亟需借助现代科技手段提高救援效率和保障人员安全。无人机作为一种可操控飞行器,能够迅速到达灾区上空,采集大范围、高分辨率的火场图像和数据,从而帮助救援团队快速了解火场状况并制定有效的灭火方案。同时,无人机的应用还有助于减少救援人员的直接介入,降低因灾害造成的人员伤亡风险。文章针对消防无人机核心功能模块进行设计研究,设计了基于I2C通信的MPU6050惯性测量模块,用于无人机的飞行姿态检测;设计了基于AI视觉模块K210与DVP摄像头接口的火灾图像采集模块电路;展示了HC-SR04超声波测距模块电路结构及其工作时序。所设计的模块电路具有较好的实用价值。

Forest fire rescue work faces difficulties such as complex terrain,variable fire conditions,and lack of infrastructure.It is urgent to use modern technological means to improve rescue efficiency and ensure personnel safety.As a controllable aircraft,UAV can quickly reach the airspace over disaster areas,collect large-scale high-resolution fire scene images and data,thereby helping rescue teams quickly understand the fire situation and develop effective firefighting plans.At the same time,the application of UAV also helps to reduce the direct intervention of rescue personnel and reduce the risk of casualties caused by disasters.This article focuses on the design of core functional modules for firefighting UAV.An MPU6050 inertial measurement module based on I2C communication is designed for flight attitude detection of UAV.A fire image acquisition module circuit based on AI vision module K210 and DVP interface is designed.The circuit structure and sequence diagram of the HC-SR04 ultrasonic ranging module are shown,and these designed module circuits have good practical value.