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배수관 내시경 조사를 통한 간접적인 관 노후도 평가방법의 적정성 연구

A Study on Adequacy of Pipe Deterioration Evaluation Methods using the Endoscope of Water Distribution Pipe

  • 최태호 (서울시립대학교 환경공학부) ;
  • 강신재 (서울시 상수도사업본부) ;
  • 최재호 (한국시설안전공단 진단본부 상하수도팀) ;
  • 구자용 (서울시립대학교 환경공학부)
  • 발행 : 2012.10.15

초록

The water supply pipes are buried across wide range of areas, so it is hard to spot them using excavation and takes a large amount of expense. Thus, there is a high risk for direct research and application, accompanying many difficulties in implementation of them. Therefore, it is more economical and convenient to use indirect evaluation variables than direct evaluation of the buried pipes in assessing the degree of pipe deterioration. To assess the degree of pipe deterioration using the indirect evaluation variables, it should be done first to identify how and to what extent they affect the degree of deterioration. This study measured the evaluation variables for pipe deterioration using the pipe endoscope and analyzed the measurement results and the degree of impact on the pipes. In addition, this study attempted to evaluate the adequateness of the pipe deterioration evaluation using the indirect variables based on the analysis results. The evaluation variables measured through the pipe endoscope were the thickness of sediments, size of scale, degree of desquamation and condition of connections. For the indirect evaluation variables, the data such as the property data from GIS pipe network map as well as the material, diameter, age and pipe lining material of the pipe, road type, leakage frequency, average water velocity and water pressure using the leakage repair records was collected. Using the collected data, this study comparatively analyzed the indirect evaluation variables for the degree of pipe deterioration and the results from the pipe endoscope to choose appropriate variables for pipe deterioration evaluation and calculated the weights of the indirect variables on the degree of deterioration. The results showed that the order of the impact of indirect variables on deterioration was pipe age > pipe lining material > road type > leakage frequency > average water velocity with their weights of 0.45, 0.20, 0.15, 0.10, and 0.10, respectively. Conclusively, the results suggest that the measures of sediment thickness, scale size, degree of desquamation and condition of connections are appropriate for the evaluation of pipe deterioration and sufficient for the analysis of the impact of the indirect variables on deterioration.

키워드

참고문헌

  1. 김민정, 2004, "통계적 기법을 이용한 상수도관의 파손확률모델", 서울시립대학교 석사학위논문
  2. 김응석, 김중훈, 이현동, 2002, "상수관로의 노후도 영향인자 및 가중치 산정에 관한 연구", 상하수도학회지, Vol 16, No. 6, pp. 686-699
  3. 김주환, 배철호, 김정현, 홍성호, 이경재, 2006, "대형 상수관로 노후상태 조사 및 평가에 관한 연구", 상하수도학회지, Vol 20, No 4, pp. 545-558
  4. 박상봉, 2009, "대형 상수도관의 사고유형 분석을 통한 관 파손확률모델 개발", 서울시립대학교 석사학위논문
  5. 유도근, 2008, "상수관로의 파괴가능성과 상대적 중요도를 고려한 상수관망 개량 우선순위 산정",고려대학교 석사학위논문
  6. 최태호, 2009, "퍼지기법을 이용한 상수관로의 노후도예측 모델 연구", 서울시립대학교 석사학위논문
  7. Abdelaseem, S., 2009, "Compaing Arabic and Latin Handwritten Digits Recognition Problems", World Academy of Science, Engineering and Technology, Vol 54, pp.451-455
  8. Al-Barqawi, H. and Zayed, T., 2008, "Infrastructure Management: Integrated AHP/ANN Model to Evaluate Municipal Water Mains' Performance", Journal of infrastructure systems, VoL 14, No 4, pp.305-318 https://doi.org/10.1061/(ASCE)1076-0342(2008)14:4(305)
  9. Asadi, R., Norwati, Mustapha and Sulaiman, N., 2009, " Training Process Reduction Based On Potential Weights Linear Analysis To Accelarate Back Propagation Network", International Journal of Computer Science and Information Security, Vol 3, No 1, pp. 229-239
  10. Dunne, R. A., 2007, "A Statistical Approach to Neural Networks for Pattern Recognition", Wiley - interscience
  11. Kim, I. S., Son, J. S., Lee, S. H. and Prasad K. D. V. Yarlagadda, 2004, "Optimal design of neural networks for control in robotic arc welding", Robotics and Computer-Integrated Manufacturing, Vol 20, pp.57-63 https://doi.org/10.1016/S0736-5845(03)00068-1
  12. Kleiner, Y. and Rajani, B., 2002, "Forecasting Variations and Trends in Water-Main Breaks", Journal of infrastructure systems, Vol 8, No 4, pp.122-131 https://doi.org/10.1061/(ASCE)1076-0342(2002)8:4(122)