Forest land autonomous inspection system based on unmanned aerial vehicle

Abstract

The invention relates to a forest land autonomous inspection system based on an unmanned aerial vehicle. The forest land autonomous inspection system comprises a remote monitoring ground station located at a forest region base station, an unmanned aerial vehicle and a forest land inspection device carried on the unmanned aerial vehicle. The forest land inspection device collects three-dimensional laser point cloud data and navigation positioning data of a forest area and sends the data to the ground station. The ground station completes three-dimensional model construction of the current forest area according to the received three-dimensional laser point cloud data, analyzes the three-dimensional model, calculates an optimal inspection path and sends the optimal inspection path to the unmanned aerial vehicle. The unmanned aerial vehicle performs forest land autonomous inspection according to the optimal inspection path and the navigation positioning data. In the inspection process, the forest inspection device collects visible light and infrared thermal image video data, spectrogram data and smoke detection data of a forest area in real time and sends the data to the ground station, and the ground station analyzes the environment of the forest area according to the received data to obtain the health condition and fire point position information of vegetation in the forest area. The system can be widely applied to the forest land autonomous inspection system.

Description

technical field [0001] The invention relates to an autonomous forest land inspection system based on an unmanned aerial vehicle, which belongs to the field of intelligent inspection. Background technique [0002] Forest land is the carrier of forest, the source of forest material production and ecological services, and an important part of forest resource assets, so the protection of forest land cannot be ignored. However, due to the large area of ​​forest land, it is not easy to manage, and it is impossible to make a comprehensive assessment of the health status of the internal vegetation, which is easy to cause forest disasters such as fire and pests, and has a serious negative impact on the ecological environment. Therefore, the research on the above-mentioned problems has very important social significance. [0003] The traditional manual management method is not only time-consuming and labor-intensive, but also the inspection effect is not satisfactory, especially the ...

AI Technical Summary

Problems solved by technology

[0003] The traditional manual management method is not only time-consuming and labor-intensive, but also the inspection effect is not satisfactory, especially the investigation of suspected fire points is not comprehensive enough, and forest fires are often large-scale natural disasters caused by a certain point. Once the fire spreads, regardless of firefighting No matter how well the work is done, it will cause irreversible damage to the ecological environment of the forest land, so fire prevention is also the most critical step in forest fire protection

Images