面向边坡形变灾害风险监测的无人机摄影测量效果分析

Analysis on Unmanned Aerial Vehicle Photogrammetry Effect for Monitoring Slope Deformation Disaster Risk

摘要:

为了达到多点位、高精度的边坡表面变形监测效果，研究了利用无人机摄影技术，通过三角形交会法建立测量解析模型，形成空间坐标关系。研究采用附属设备精度矫正模式降低无人机摄影特殊环境下的精度损失。结果显示，无人机监测在X与Y方向上精度较高，在Z方向精度相对稍低，但也仅存在3个误差超过0.010m的点位。与全站仪监测结果相比，无人机监测得出的数据具有可靠性，能及时警示风险，防止误报发生，更加稳定高效。

Abstract:

In order to achieve multipoint and highprecision monitoring of slope surface deformation, the use of unmanned aerial vehicle photography technology has been studied, and a measurement analysis model has been established through triangle intersection method to form spatial coordinate relationships. At the same time, by using accessory equipment accuracy correction mode, accuracy loss in drone photography in special environments has been reduced. It is showed that the monitoring of unmanned aerial vehicle shows high accuracy in the X and Y directions, while with relatively low accuracy in the Z direction. But only three points with an error will exceed 0.010m. Comparing with the monitoring results of the total stations, the data obtained from the monitoring of unmanned aerial vehicle is reliable. It can timely alert risks and prevent false alarms. It is more stable and efficient.