Design and research of a new energy-saving UAV for forest fire detection

地形 计算机科学 火灾探测 遥感 环境科学 实时计算 建筑工程 工程类 生态学 生物 地质学
作者
Wenhao Liu,Yifan Yang,Jiaming Hao
标识
DOI:10.1109/icetci55101.2022.9832311
摘要

Forest resources play an indispensable role in human development and provide good environmental conditions for human survival and development. At present, there are three kinds of forest fire monitoring in China.One is the traditional observation tower, which has a large observation coverage and good effect. However, due to the limitation of terrain, it has some disadvantages, such as dead corner and blank;The second is video monitoring, but manual monitoring is easy to cause visual fatigue. The fire in the video is not easy to be detected, and the missing rate is very high. Third, the rapid development of VAV Remote Sensing Technology in recent years, but in practical application, a single VAV has small monitoring area, low load capacity and single returned data information, which can not meet the needs of practical application. Therefore, an unmanned detection system for forest fire prevention monitoring is designed in this project, which uses the ground-based observation platform intelligent cluster and VAV multi-sensor to complement each other, and according to the principles of image comparison, infrared detection and temperature detection, The ground air multi-agent cooperative control theory is adopted to realize fast and efficient forest fire image acquisition and forest inspection. While realizing the basic functions of VAV for forest fire monitoring, wind energy, solar energy and temperature difference energy are used to generate electricity, so as to improve the endurance time of VAV to a certain extent, so that VAV can cover a larger forest area. Further reduce the probability of forest fire. Combined with 5g communication technology and intelligent network technology, the formation and formation control strategy taking into account both search efficiency and traceability accuracy are formulated to realize the rapid positioning of fire points and timely and accurate feedback of forest fire information.
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