本文選題：供水管網(wǎng)　切入點：GIS　出處：《電子科技大學》2013年碩士論文　論文類型：學位論文

【摘要】：隨著現(xiàn)代城市規(guī)模的不斷增大，供水管網(wǎng)管線的長度和復雜度也日益增加。供水管網(wǎng)的建造、維護、運行費用已經(jīng)占到了整個管網(wǎng)系統(tǒng)投資的百分之七十到八十。同時居民生活水平和工業(yè)生產(chǎn)效率的提高，對供水系統(tǒng)可靠性也提出了嚴格的要求。給水管網(wǎng)管徑的設置和提高經(jīng)濟性、可靠性指標之間有密切的關系，因此，供水管網(wǎng)的優(yōu)化設計就有十分重要的研究意義。 本課題主要對供水管網(wǎng)的管徑組合進行優(yōu)化。由于管網(wǎng)規(guī)模龐大、結(jié)構(gòu)復雜，管網(wǎng)基礎數(shù)據(jù)的輸入十分繁瑣，所以將GIS系統(tǒng)和管網(wǎng)優(yōu)化結(jié)合起來。通過GIS系統(tǒng)可以快速的獲取基礎數(shù)據(jù)，對數(shù)據(jù)進行管理和修改，并且可以直觀的顯示優(yōu)化結(jié)果，大大縮短設計周期。 本文所建立的優(yōu)化模型涵蓋了管網(wǎng)的經(jīng)濟性指標和可靠性指標，通過節(jié)點富余水頭的加權(quán)平均值來表征管網(wǎng)的可靠性。將建造、維護、運行費用和節(jié)點富余水頭納入到目標函數(shù)，在保證管網(wǎng)經(jīng)濟性和使用要求的情況下，提高了管網(wǎng)的可靠性。 然后采用自適應遺傳算法，將設計變量進行編碼，然后通過選擇、交叉、變異等過程不斷提高個體的適應度值，直到獲得最優(yōu)解。在此過程中，通過精英保留策略和自適應的改變交叉率、變異率，，使算法的性能得到了改善。 最后通過實際的工程案列，比較了傳統(tǒng)的設計方法（經(jīng)濟流速法）和遺傳算法優(yōu)化方法之間的優(yōu)劣，說明了遺傳算法在管網(wǎng)優(yōu)化方面具有實際的意義。
[Abstract]:With the increasing scale of modern city, the length and complexity of water supply pipeline are increasing day by day. Operating costs have accounted for 70% to 80 of the total pipeline system investment. At the same time, the standard of living of the residents and the efficiency of industrial production have been improved. Strict requirements for the reliability of water supply system are put forward. There is a close relationship between the setting of pipe diameter of water supply network and the improvement of economy and reliability index. Therefore, the optimization design of water supply network has very important significance. This subject mainly optimizes the pipe diameter combination of the water supply network. Because of the large scale and complicated structure of the pipe network, the input of the basic data of the pipe network is very complicated. So the combination of GIS system and pipe network optimization. Through the GIS system, we can get the basic data quickly, manage and modify the data, and can display the optimization results intuitively, and greatly shorten the design period. The optimization model established in this paper covers the economic index and reliability index of the pipe network. The reliability of the pipe network is represented by the weighted average value of the surplus water head of the node. The operation cost and the surplus water head of the node are incorporated into the objective function, and the reliability of the pipe network is improved under the condition of ensuring the economic and operational requirements of the pipe network. Then the adaptive genetic algorithm is used to encode the design variables, and then through the selection, crossover, mutation and other processes, the fitness of the individual is continuously improved until the optimal solution is obtained. The performance of the algorithm is improved by elite retention strategy and adaptive change of crossover rate and mutation rate. Finally, the advantages and disadvantages of the traditional design method (economic velocity method) and genetic algorithm optimization method are compared through the actual engineering cases, which shows that genetic algorithm has practical significance in pipe network optimization.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P208;TU991.33

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