Automation for sewer pipe assessment: CCTV video interpretation algorithm and sewer pipe video assessment (SPVA) system development

Xianfei Yin*, Tianxin Ma, Ahmed Bouferguene, Mohamed Al-Hussein

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Article number103622
JournalAutomation in construction
Volume125
Early online date3 Mar 2021
DOIs
Publication statusPublished - May 2021

Keywords

  • Assessment
  • Automation
  • CCTV
  • Maintenance
  • Sewer pipe
  • Video interpretation

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