本文選題：農(nóng)村供水工程 + 水廠選址��； 參考：《天津大學(xué)》2015年博士論文

【摘要】：農(nóng)村供水工程是我國(guó)一項(xiàng)重要的民生工程,國(guó)家“十二五”期間安排了1600億-1700億左右的資金,來(lái)解決2.98億農(nóng)村人口和11.4萬(wàn)所農(nóng)村學(xué)校的飲水安全問(wèn)題。農(nóng)村供水工程是一個(gè)復(fù)雜的系統(tǒng)工程,如何通過(guò)規(guī)劃設(shè)計(jì)階段的供水工程系統(tǒng)協(xié)同優(yōu)化,使供水設(shè)施布局更合理、管網(wǎng)優(yōu)化、水資源得以合理利用,真正發(fā)揮國(guó)家對(duì)農(nóng)村供水工程投資的經(jīng)濟(jì)效益和社會(huì)效益,是一個(gè)值得研究的課題。論文結(jié)合農(nóng)村供水工程特點(diǎn),通過(guò)文獻(xiàn)和理論的梳理,將水廠地址備選方案擇優(yōu),水廠管網(wǎng)嵌套優(yōu)化和區(qū)域供水模式的系統(tǒng)協(xié)同優(yōu)化作為供水工程系統(tǒng)協(xié)同優(yōu)化問(wèn)題的重要研究?jī)?nèi)容,課題的主要研究?jī)?nèi)容和創(chuàng)新性工作如下:首先,針對(duì)現(xiàn)有選址初選方案評(píng)價(jià)方法的主觀局限性,基于模糊軟集改進(jìn)了水廠備選地址的擇優(yōu)方法。根據(jù)農(nóng)村供水工程的實(shí)際特點(diǎn),建立影響水廠選址的屬性集,包括技術(shù)屬性集、環(huán)境影響屬性集和社會(huì)發(fā)展性集,充分考慮坡度、海拔、水質(zhì)、生態(tài)等影響因素,采用半梯形函數(shù)確定指標(biāo)在不同評(píng)價(jià)集中的隸屬程度,評(píng)價(jià)融合了多個(gè)評(píng)價(jià)者的評(píng)價(jià)信息從而獲得綜合評(píng)判,案例分析結(jié)果證實(shí)了方法的有效性。其次,針對(duì)農(nóng)村供水工程的特點(diǎn),研究經(jīng)濟(jì)供水半徑與水廠選址嵌套優(yōu)化問(wèn)題。利用集合覆蓋模型確定凈水廠的覆蓋半徑時(shí),考慮由地形產(chǎn)生的水頭損失對(duì)管網(wǎng)經(jīng)濟(jì)半徑的影響,結(jié)合投資效益和管網(wǎng)優(yōu)化理論對(duì)凈水廠的最佳供水半徑進(jìn)行分析,先優(yōu)化管網(wǎng)布局,求解經(jīng)濟(jì)水廠覆蓋半徑,實(shí)現(xiàn)管網(wǎng)優(yōu)化模型與水廠選址模型的嵌套。引入費(fèi)用現(xiàn)值最小模型,對(duì)選址問(wèn)題進(jìn)行二次優(yōu)化,獲得最佳的選址結(jié)果。管網(wǎng)優(yōu)化模型與水廠選址模型的嵌套彌補(bǔ)以決策者先驗(yàn)經(jīng)驗(yàn)為決策基礎(chǔ)的不足,更具有理論性和實(shí)用性。最后,研究了區(qū)域供水模式下的農(nóng)村供水系統(tǒng)分解-協(xié)調(diào)模型和算法。對(duì)農(nóng)村供水工程的遞階結(jié)構(gòu)進(jìn)行分析,根據(jù)分解-協(xié)調(diào)原理以區(qū)域供水系統(tǒng)工程建設(shè)費(fèi)用現(xiàn)值最小為目標(biāo),構(gòu)建農(nóng)村區(qū)域性供水的水廠求解問(wèn)題決策模型。指出系統(tǒng)協(xié)同優(yōu)化模型實(shí)質(zhì)上是在相應(yīng)約束條件下尋找一個(gè)表示水源至水廠的供水量的n×m維數(shù)組和一個(gè)水廠至用水點(diǎn)的供水量的m×k維數(shù)組,同時(shí)確定出水源點(diǎn)及水廠點(diǎn)的位置、數(shù)量、供水范圍及供水規(guī)模的組合最優(yōu)化,即是在復(fù)雜約束條件下的尋找子系統(tǒng)最優(yōu)和大系統(tǒng)最優(yōu)的組合優(yōu)化過(guò)程。采用改進(jìn)微粒群算法對(duì)進(jìn)行求解,實(shí)際案例分析說(shuō)明改進(jìn)微粒群算法對(duì)本問(wèn)題的求解比傳統(tǒng)微粒群算法具有更好的收斂性和穩(wěn)定性。
[Abstract]:The rural water supply project is an important project of people's livelihood in our country. During the 12th Five-Year Plan, about 160 billion to 170 billion funds were allocated to solve the problem of drinking water safety of 298 million rural population and 114000 rural schools. The rural water supply project is a complicated system engineering. How to optimize the water supply system in the stage of planning and design, make the distribution of water supply facilities more reasonable, optimize the pipe network, and make rational use of water resources. It is worth studying to give full play to the economic and social benefits of the country's investment in rural water supply projects. Combining with the characteristics of rural water supply project, the paper combs the literature and theory, and selects the water plant address alternative scheme. The nesting optimization of water plant pipe network and the system cooperative optimization of regional water supply mode are the important research contents of water supply engineering system coordination optimization. The main research contents and innovative work are as follows: first of all, In view of the subjective limitation of the existing methods for evaluating the primary site selection schemes, the optimal selection method of water plant alternative addresses is improved based on fuzzy soft sets. According to the actual characteristics of rural water supply project, the attribute set of water plant location is established, including technical attribute set, environmental impact attribute set and social development set, which fully consider the influence factors such as slope, altitude, water quality, ecology and so on. The semi-trapezoid function is used to determine the degree of membership of the index in different evaluation sets, and the evaluation integrates the evaluation information of multiple evaluators to obtain comprehensive evaluation. The results of case analysis prove the effectiveness of the method. Secondly, according to the characteristics of rural water supply project, the optimization of economic water supply radius and water plant location nesting is studied. When the coverage radius of water purification plant is determined by using the set coverage model, the influence of the loss of water head caused by topography on the economic radius of the pipe network is considered, and the optimal water supply radius of the water purification plant is analyzed with the combination of investment benefit and pipe network optimization theory. First, the distribution of pipe network is optimized, the coverage radius of economic water plant is solved, and the nesting of optimal pipe network model and water plant location model is realized. In this paper, the cost present value model is introduced to optimize the location problem and obtain the best location result. The nesting of pipe network optimization model and water plant location model is more theoretical and practical because it is based on the prior experience of decision makers. Finally, the decomposition-coordination model and algorithm of rural water supply system under regional water supply mode are studied. The hierarchical structure of rural water supply project is analyzed. According to the principle of decomposition-coordination, the minimum present value of construction cost of regional water supply system is taken as the goal, and a decision model for solving the problem of rural regional water supply plant is constructed. It is pointed out that the system cooperative optimization model is essentially to find an n 脳 m dimensional array representing the water supply from the source to the water plant and m 脳 k dimensional array of the water supply from the water plant to the water point under the corresponding constraints, and to determine the location of the water source point and the water plant point at the same time. The combinatorial optimization of quantity, water supply range and water supply scale is the process of searching for the optimization of subsystems and large systems under complex constraints. The improved particle swarm optimization algorithm is used to solve the problem. The practical case analysis shows that the improved particle swarm optimization algorithm has better convergence and stability than the traditional particle swarm optimization algorithm.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：F323.213

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