首页|基于无人机摄影测量的高边坡危岩体智能识别技术研究

基于无人机摄影测量的高边坡危岩体智能识别技术研究

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卡拉水电站地处高山峡谷,其左岸边坡危岩大面积分布且块体方量较大,极易导致危岩落石灾害,给电站的施工和运行安全造成威胁,急需对危岩体进行高效治理.而查明潜在危岩体的分布、具体位置并进行准确定位,进而准确测量出潜在危岩体的形态参数成为危岩体治理的关键任务.阐述了以无人机摄影测量技术为基础提出的一套快速识别水电站高边坡危岩体的方法.该方法结合结构面自动识别算法,通过SAD算法对坡度角的分布、结合块体稳定性分析的运动学方法实现了对危岩体的准确识别.识别结果表明:卡拉水电站左岸危岩体的稳定性主要受NE倾向的结构面控制,它与其余主要结构面组合控制着危岩发育的边界和规模;另外,受左岸边坡冲沟的影响,冲沟附近的危岩体较为发育且方量较大.该识别技术为危岩体的治理提供了极有价值的依据.
Research on Intelligent Identification Technology of Dangerous Rock Masses on High Slope Based on Unmanned Aerial Vehicle Drone Photogrammetry
The Kala Hydropower Project is located in a high mountain canyon,with a large area and a large vol-ume of dangerous rock masses distributed on the left bank slope,which is prone to dangerous rockfall disas-ters,posing a threat to the construction and operation safety of the hydropower project,for which it is urgent to carry out efficient management of dangerous rock mass.Identifying the distribution and specific location of po-tential dangerous rock masses,accurately locating them,and then accurately measuring the morphological pa-rameters of potential dangerous rock masses are the key tasks.Therefore,based on UAV photogrammetry technology,this article proposes a set of methods for quickly identifying dangerous rock masses on high slopes of hydropower projects.This method combines automatic recognition algorithms for structural planes,analyzes slope angle distribution through SAD algorithm,and combines kinematic methods with mass stability analysis to achieve accurate identification of hazardous rock masses.The identification results indicate that the stability of the dangerous rock masses on the left bank of Kala is mainly controlled by the NE trending structural planes,combined with other major structural planes,which control the boundary and scale of the dangerous rock development.Affected by the left bank slope gully,the dangerous rock masses near the gully is relatively developed and has a large volume.This identification technology provides a very valuable basis for the manage-ment of dangerous rock masses.

Kala Hydropower ProjectUnmanned Aerial Vehicle PhotogrammetryDangerous rock massStruc-tural plane recognition

胡祺杰、汪旭、刘昊松

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中国水利水电第七工程局有限公司,四川 成都 610213

卡拉水电站 无人机摄影测量 危岩体 结构面识别

2024

四川水力发电
四川省水力发电工程学会

四川水力发电

影响因子:0.211
ISSN:1001-2184
年,卷(期):2024.43(5)