水利水电技术（中英文）

针对引水渠道渗漏难以发现和监测的问题，介绍了一种无人机智能巡检技术。它主要是基于现代人工智能技术，对无人机搭载红外热成像仪采集到的图像进行分析，实现渠堤渗漏的自动识别，快速高效地检测出渠堤渗漏区域，并能跟踪渗漏的发展变化过程，完成渗漏缺陷的闭环管理。应用实例重点针对某引水渠道工程的一处渠堤渗漏进行无人机红外热成像采集后，通过智能模型识别准确计算出渗漏区域的面积。实例说明该无人机智能巡检技术在渠堤渗漏缺陷识别方面具有一定的有效性和优越性，它提升了渠道巡检工作效率，提高了渗漏缺陷的预警能力，保障了引水渠道工程的安全运行。

In response to the problem of difficult detection and monitoring of seepage in water diversion channels, an unmanned aerial vehicle(UAV) intelligent inspection technology for the problem of difficult detection and monitoring of canal seepage is introduced. It mainly analyzes the images collected by UAV carrying infrared thermal imaging instrument based on modern artificial intelligence technology to realize automatic identification of canal seepage, quickly and efficiently detect the seepage area of canal embankment, and track the development and change process of seepage, so as to complete the closed-loop management of seepage defects. The application example focuses on a leakage area of a canal embankment in a diversion hydropower station. After UAV infrared thermal imaging collection, the intelligent model recognition accurately calculates the area of the leakage area. The example illustrates that the UAV intelligent inspection technology has certain effectiveness and superiority in identifying canal seepage defects. It not only improves the efficiency of channel inspection, but also effectively improves the early warning ability of seepage defects, ensures the safety of canal embankments, and ensures the normal operation of the project.