Unmanned aerial vehicle forest fire reconnaissance system based on edge calculation and working method

Abstract

The invention provides an unmanned aerial vehicle forest fire reconnaissance system based on edge calculation and a working method. The system comprises an unmanned aerial vehicle group, a wireless sensor node and an unmanned aerial vehicle ground base station, an unmanned aerial vehicle in the unmanned aerial vehicle group comprises a positioning navigation module, an image acquisition and processing module, a wind direction and wind speed acquisition and processing module, an analog simulation module, a wireless communication module, a control unit, a flight unit and a power supply. A wireless sensor node group comprises a temperature sensing and processing module, a wireless communication module and a power supply; the unmanned aerial vehicle ground base station comprises a wireless communication module, an unmanned aerial vehicle control unit, a video coding and display module and a power supply. Wireless sensor nodes are uniformly spread on forest land, and edge calculation is carried out by using the unmanned aerial vehicle group so that delay caused by signal delay can be greatly reduced, the position of an ignition point can be tracked more accurately, and the existence ofa dark fire can be sensed.

Description

technical field [0001] The invention relates to the technical field of UAV edge computing, in particular to an UAV forest fire reconnaissance system and working method based on edge computing. Background technique [0002] Forest fire is the most serious disaster among several forest disasters, and it will bring the most harmful and destructive consequences to forests. Forest fires not only burn the forests, harm the animals in the forests, but also reduce the reproductive capacity of the forests, cause soil barrenness and damage the water conservation of the forests, and even lead to the imbalance of the ecological environment. Although science in today's world is advancing with each passing day, human beings still cannot completely solve the forest fire problem. In recent years, the forest fire reconnaissance system has been greatly developed and improved, which can be divided into satellite photography and UAV infrared remote sensing mode. Satellite photography uses hig...

AI Technical Summary

Problems solved by technology

Satellite photography uses high-definition cameras to photograph the fire site, and can obtain information on the location and scope of the forest fire, but there are insufficient pixels to accurately determine the area of ​​the fire site and the direction of fire spread, and it is impossible to detect dark fires

Infrared remote sensing of drones can keenly perceive the temperature of the fire scene through airborne infrared remote sensing facilities, so as to detect dark fires, but when the fire scene is too large, a single drone is slightly thin and cannot detect the whole picture of the fire scene

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