姓名 呂淑箐(Sue-Ching Lu) 電子郵件信箱 E-mail 資料不公開
畢業系所 營建工程系碩士班(Department and Graduate Institute of Constrction Engineering)
畢業學位 碩士(Master) 畢業時期 90學年第2學期
論文名稱(中) 應用基因演算法於下水道管線維修之優選
論文名稱(英) Applying GA on the Optimization of Sewerage Rehabilitation
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  • etd-0724102-161901.pdf
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    摘要(中)   下水道管線除了進行單一管線的檢查與損壞判定外,必須考量整體管線連接後之管網型態,以便檢視管線在運送污水時,能否達到最大效益,同時,對已有損壞之管線進行必要之維修或緊急處理。由於在進行管線損壞維修上,只判定管線維修與不維修的情況,並沒有所謂的輕重緩急之分,以致於管線在任何損壞的情況下,都判定為同一時間點上進行修繕,但在維修當中,政府於下水道的經費為有限撥款情況,所以,考量的條件應是將費用預算花在非常急迫需要維修的管線上,針對破壞程度較大的管線應判定為維修優先對象,讓經費能有效的運用在迫切需要維修的管線上。
      本研究針對此問題,將考量以管線損壞狀況作為管線維修評估模式,當中將篩選出影響管線損壞之因子,包含關鍵性管段因子、內部結構性管段因子、服務性管段因子等,藉以判定管線損壞程度並挑選出需優先維修的管線。由於管線損壞須要龐大的費用進行修繕,且不同種類的維修工法又有不同的維修成本考量,於工法的篩選上將以高雄市第十五期重劃區污水下水道之維修工法為主。為了使管線維修時,具有節省經費又同時能達到維修上最大的效益,在多種條件的考量下,為了能有效且快速的解決此類問題,將採用基因演算法模擬生物進化原理與可有效處理最佳化與全域搜尋問題之能力,把未能符合維修效益最大、維修成本最小的解剔除,保留近似最佳解的答案,以解決下水道管線於維修目標衝突下,利用最小維修成本費用,所能達到管線最高之維修效益,以解決龐大管線維修問題。最後,利用地理資訊系統圖形與屬性資料可共同展示的優點,將基因演算法求得之管線維修狀況展現出來,使決策者與相關單位對於該區域管網所須維修之工法、損壞程度以及維修成本等,都可藉由地理資訊系統資料展現的弁遄A清楚的了解實際的狀況,這些結果將可提供作為管線維修管理上之參考。
    摘要(英) A sewerage system, that costs the government billions of NT dollars very years, is one of the essential infrastructure equipped in modern city. Most of the sewerage system is underground and hard to detected, even though it is easy to get cracks caused by corrosive chemicals inside sewer. However serious cracks and leaks could result in sewerage exceeding the designed rate flow of the sewerage treatment plants due to the infiltration of rain or underground water. Also, the exfiltration of sewerage from detective pipes may causes a potential health hazard with the possible contamination of groundwater and soil. Thus, an efficient management and maintenance is necessary.
      However, when the budget is limited, an overall examination and reparation becomes impossible. This research will establish a decision-support system to help make a prioritizing yearly plan on the examination and reparation of a sewerage system. Several jobs need to be done, including (1) to sift a factor of influence out in the process, including the factor of critical sewer、the factor of structural sewer、the factor of service sewer, etc. (2) applying Genetic algorithm which is good at ruling space search operation, we can calculate the cost and effectiveness of sewer repairment projects. The cost-utility combination varying with adopting different maintaining techniques for damage points can provide decision makers with the reference for sewer rehabilitation, and (3) application of GIS in the system to store the detailed information of the sewerage system and display the analysis results in visualized maps.
      This research is about to result in an optimal prioritizing yearly plan so that the methods and order of pipe line rehabilitation. The system will be applied on a close sewerage system in the Kaoshiung.
    關鍵字(中)
  • 污水下水道
  • 基因演算法
  • 地理資訊系統
  • 優選
  • 管線維修
  • 關鍵字(英)
  • rehabilitation
  • sewer
  • genetic algorithm
  • geographic information system
  • rehabilitation
  • sewer
  • genetic algorithm
  • geographic information system
  • 指導教授
  • 黃怡碩
  • 楊明德
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