Unmanned aerial vehicle cruising and monitoring system for forest fire

Abstract

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

Description

technical field [0001] The invention relates to a forest fire monitoring device, in particular to a forest fire unmanned aerial vehicle cruise monitoring system, which belongs to the technical field of unmanned aerial vehicle fire monitoring. Background technique [0002] Forests are the lungs of the earth. They provide human beings with a clean living environment and are the green treasure house of human beings. Forest fires are one of the important reasons for the decline of global forest resources. They are sudden and destructive natural disasters that are difficult to rescue. cause great harm and loss. Forest fire prevention is the top priority of forestry work. Scientific and accurate real-time monitoring is not only an inevitable requirement for forest fire prevention, but also an important means to effectively control fire spread and reduce economic losses. It is also an important reference for fire fighting command decision-making. [0003] The forest fire monitorin...

AI Technical Summary

Problems solved by technology

[0004] However, there are many shortcomings in the current use of UAVs to monitor forest fires: First, the current UAVs are heavy in weight, short in flight time, and have a small cruising range. To complete the task, or need frequent take-off and landing and replenishment, or need multiple drones to complete the forest fire cruise monitoring work in multiple areas, it is difficult to realize the forest fire cruise monitoring of drones, the monitoring efficiency is very low, and the operation is cumbersome and difficult It is very large, and the monitoring effect is not satisfactory, and the fire monitoring task cannot be completed with quality and quantity. The planning of the fire monitoring path is blind, and the geological and landform characteristics and geographic information data of the cruising area are not fully utilized. The design of the cruising path is rigid and single, the scientific and systematic nature is poor, and the monitoring is weak, and the UAV forest fire cruising monitoring cannot be fully utilized The third is that the monitoring hardware carried by the current UAV fire monitoring is relatively backward. Generally, only cameras are installed. Remote monitoring of fires through cameras not only requires manual participation in the whole process, but also the efficiency of long-distance manual monitoring of cameras to find fires is very low. The accuracy is very poor, the false alarm rate is high, and the drone is seriously shaken during flight, and the clear picture of the image collected by the camera is poor, which reduces the accuracy and reliability of monitoring; the fourth is that even if the existing technology appears UAVs equipped with infrared cameras, but due to the lack of scientific and reasonable infrared image conversion and denoising methods, resulting in a lot of noise and serious interference in infrared images, it is impossible to accurately extract fire information from infrared images, and the utilization rate of infrared images is very low , the accuracy of fire detection is very poor; the fifth is the lack of automatic monitoring and identification methods for forest fire information. UAV forest patrol monitoring takes a long time and the workload is heavy, requiring intelligent and reliable automatic monitoring and identification methods for fire information. The method of computer intelligent identification of forest fires generally has high technical content, and the design of the algorithm is very difficult. In addition, the distance of UAV forest fire monitoring is generally long, the characteristics are not obvious enough, there are many interference information, and the fire monitoring has very high requirements for accuracy. High, leading to great difficulty in automatic monitoring and identification of forest fires; Sixth, after a fire is discovered, fire video images cannot be quickly transmitted to the ground, and the location of the fire cannot be accurately reported.

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