基于无人机倾斜摄影技术和传感器技术的边坡地形监测

J. Sensors Pub Date : 2022-08-16 DOI:10.1155/2022/3531576
Jianfeng Cao, Yunfei Dai, Liqiang Hu, Yiju Liang, Yuan Liu, Bo Yang
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引用次数: 2

摘要

针对传统露天矿边坡岩体结构测井方法存在的风险大、效率低的问题,提出了一种利用无人机倾斜摄影技术改进传统露天矿边坡地质测井的方法。以某露天采石场边坡为例,阐述了无人机摄影技术在地质测井中的应用方法和工作流程。实验结果表明,无人机测试X方向的最大和最小绝对误差分别为5.1 cm和1.1 cm;MAE值为2.90 cm;RMSE值为3.17 cm。Y方向最大绝对误差3.3 cm,最小绝对误差0.9CM;MAE值为2.36 cm;RMSE值为2.498 cm。垂直误差是指在仰角上的误差。Z方向绝对误差最大值为9.6 cm,最小值为5.7 cm;MAE值为7.44 cm;RMSE值为7.54 cm。结论。通过对比罗经测量和点云计算结果,验证了该技术的可靠性。在此基础上划分了结构面优势产状,为矿山边坡稳定性分析提供了基础数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slope Topography Monitoring Based on UAV Tilt Photography Technology and Sensor Technology
In order to solve the problems of high risk and low efficiency of the traditional rock mass structure logging method of open-pit mine slope, this paper proposes a method to improve the geological logging of traditional open-pit mine slope by using UAV tilt photography technology. Taking the slope of an open-pit quarry as an example, this method expounds the application method and work flow of UAV photography technology in geological logging. The experimental results show that the maximum and minimum absolute errors in the X   direction of UAV test are 5.1 cm and 1.1 cm, respectively; MAE value is 2.90 cm; and RMSE value is 3.17 cm. The maximum and minimum absolute errors in Y   direction are 3.3 cm and 0.9CM, respectively; MAE value is 2.36 cm; and RMSE value is 2.498 cm. Vertical error refers to the error in elevation. The maximum and minimum absolute errors in Z direction are 9.6 cm and 5.7 cm, respectively; MAE value is 7.44 cm; and RMSE value is 7.54 cm. Conclusion. The reliability of this technology is verified by comparing the occurrence measured by compass and that calculated by point cloud. On this basis, the dominant occurrence of structural plane is divided, which provides basic data support for the analysis of mine slope stability.
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