This research aims at improving the automation of the sewer pipe assessment process, specifically in terms of the development of a closed-circuit television (CCTV) video interpretation algorithm and sewer pipe video assessment (SPVA) system. A novel video interpretation algorithm for sewer pipes (VIASP) is proposed to use the labeled video (which is labeled by an automated defect detector) as the input in order to extract the useful information from the video, with the final output being the sewer pipe assessment report in textual format. To develop the VIASP, an optimization algorithm using simulated annealing (SA) is employed to determine the optimal human-defined parameters for the VIASP. A prototype of the SPVA system is developed to show how the developed automation techniques can fit into the daily workflow of sewer pipe assessment work. The effectiveness of the proposed method is validated in a case study.

这项研究旨在改善下水道评估过程的自动化，特别是在开发闭路电视（CCTV）视频解释算法和下水道视频评估（SPVA）系统方面。提出了一种新颖的下水道视频解释算法（VIASP），该方法将标记的视频（由自动缺陷检测器标记）用作输入，以便从视频中提取有用的信息，最终输出是下水道评估报告为文本格式。为了开发VIASP，采用了使用模拟退火（SA）的优化算法来确定VIASP的最佳人工定义参数。开发了SPVA系统的原型，以展示开发的自动化技术如何适应下水道评估工作的日常工作流程。