ZHAO Fang-fang,CHEN Can,XU Ying,et al.Research on the Application of Artificial Intelligence for the Sewer Defect Identification and Evaluation in Drainage Company Düsseldorf, Germany[J].China Water & Wastewater,2025,41(24):8-14.
Research on the Application of Artificial Intelligence for the Sewer Defect Identification and Evaluation in Drainage Company Düsseldorf, Germany
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第24期
Page:
8-14
Column:
Date of publication:
2025-12-17
- Keywords:
- Germany; artificial intelligence(AI); sewer system inspection; sewer coding; sewer evaluation
- Abstract:
- Sewer inspection is an important part of the operation and maintenance of urban sewer networks, which is directly related to the wastewater collection rate and drainage safety. The application of artificial intelligence(AI) in the inspection and evaluation of sewer networks is currently one of the main research in the German drainage sector. This paper briefly introduces the coding, assignment, and quantitative evaluation standards of the sewer inspection work in Germany. Thereby, it clarifies that, the digitization of whole network and inspection results is the prerequisite for sewer evaluation through AI. Under this premise, this paper introduces the attempt to apply AI to identify defects and evaluate inspected sewers in the city drainage operation Düsseldorf (Stadtentw-sserungsbetrieb Düsseldorf). By comparing the evaluation results using AI under different inspection hardware systems and working environments, it is concluded that AI can effectively identify and mark defects, and automatically generate sewer condition assessment results. This demonstrates the application potential of AI in the operation and maintenance of sewer network systems.
Last Update:
2025-12-17