滑坡表面位移无人机接触式监测的飞行路径优化--以三峡库区白水河滑坡为例

Flight path optimization of a drone touching monitoring method for landslide surface displacement:Taking the Baishuihe landslide in the Three Gorges reservoir area as an example

无人机监测技术发展迅速并开始广泛应用于滑坡监测领域之中,传统无人机监测通过拍摄影像对滑坡进行观测,存在着精确度方面的缺陷;引入无人机接触式监测方法到滑坡表面位移监测中,改善精度方面的不足,扩展其应用前景.目前无人机的续航问题是制约无人机监测技术发展的主要问题之一,无人机在滑坡上无序的飞行会增加飞行工作量,因此对无人机飞行路径优化十分重要.以三峡库区白水河滑坡为例,采用了蚁群算法对无人机在白水河滑坡上进行接触式监测时的飞行路径进行优化;结果表明:蚁群算法优化减少了无人机的飞行路径,大大提高了单次飞行效率.

As a well-known monitoring technology,drone has been widely used in the field of landslide monitoring.The traditional drone non-touching monitoring technology observes landslides by shooting images,which exits shortcomings in accuracy.The touching monitoring method is introduced into the surface displacement monitoring of landslide to improve the accuracy and expand its application prospect.The most important problem is the endurance of drone monitoring,which restricts its development in landslide monitoring.The disorderly flight of drones on landslides will increase the flight workload,so it is very important to optimize the flight path of drone.Taking the Baishuihe landslide in the Three Gorges reservoir area as an example,the paper proposes a method that using ant colony algorithm to optimize the flight path of drone touching monitoring on baishuihe landslide.According to the results,via ant colony algorithm,the optimization results reduce the flight path of drone and improves the single flight efficiency greatly.