• DocumentCode
    1829481
  • Title

    Sewerage rehabilitation planning

  • Author

    Yang, M.D. ; Su, T.C. ; Pan, N.F. ; Liu, P.

  • Author_Institution
    Dept. of Civil Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    621
  • Lastpage
    625
  • Abstract
    Following the construction completion of the new infrastructures of sewerage, sewerage rehabilitation planning is the major work. This paper presents a systematic sewerage rehabilitation planning consisting of sewer inspection, diagnosis of pipe defects, grading of sewerage structural conditions, and determination of cost-effectiveness rehabilitation methods and substitution pipe materials. The main purpose of sewer inspection is to acquire closed circuit TV (CCTV) images for diagnosis of pipe defects. For diagnosis of pipe defects, a computer aided approach rather than the tradition manual interpretation is presented, and the overall diagnosis accuracies of above 90% are obtained. Also, genetic algorithm (GA) is used to design an optimization model to find out the multi-optimal sewer rehabilitation approaches. Finally, a set of optimal sewerage rehabilitation plans is searched.
  • Keywords
    closed circuit television; genetic algorithms; inspection; pipes; planning; sewage treatment; CCTV images; closed circuit TV images; construction completion; genetic algorithm; pipe defects; sewer diagnosis; sewer inspection; sewerage rehabilitation planning; sewerage structural conditions; Gallium; Image segmentation; Inspection; Optimization; Pipelines; Planning; Sewerage rehabilitation; genetic algorithm; pipeline diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674519
  • Filename
    5674519