吉林水利

库岸边坡的变形稳定监测是水电工程长期安全运行的重要保障，传统的监测方式存在工作量大、成本高、风险大、效率低等难题。近年来基于图像处理算法的无人机摄影测量技术为库岸边坡的变形稳定监测提供了新思路。据此开展基于无人机航摄的库岸人工边坡智能化巡检技术研究，利用背景差分法的图像识别技术，开发了裂缝变化识别软件，并构建室内试验平台验证软件的可靠性。同时，为了考虑天气、光线等因素对识别成果的影响，进行了现场试验，表明识别软件能快速自动追踪裂缝宽度变化，具有较好的识别效果。最后，将该技术应用于某大型水电工程库岸人工边坡巡检中，对无人机航摄采集的多期数据进行分析，为该工程的长期安全运行提供新的巡检途径。

The deformation and stability monitoring of bank slopes is an important guarantee for the long-term safe operation of hydropower projects,and the traditional monitoring method has problems such as large workload,high cost,high risk and low efficiency.In recent years,UAV photogrammetry technology based on image processing algorithm provides a new idea for the deformation and stability monitoring of bank slopes.Accordingly,the research on intelligent inspection technology of reservoir bank artificial slope based on UAV aerial photography was carried out,and firstly,the image recognition technology of background difference method was adopted to develop the crack change recognition software,and an indoor test platform was constructed to verify the reliability of the software.At the same time,in order to consider the influence of weather and light on the recognition results,extension tests showed that the recognition software could quickly and automatically track the crack width changes and had a good recognition effect.Finally,this technology is applied to the inspection of artificial slopes on the bank of a large hydropower project,and the multi-period data collected by UAV aerial photography is analyzed,which provides a new inspection way for the long-term safe operation of the project.