基于水質(zhì)保障的供水系統(tǒng)智能優(yōu)化技術(shù)研究
發(fā)布時(shí)間：2018-07-24 13:00
【摘要】：飲用水水質(zhì)安全關(guān)系到國計(jì)民生和社會(huì)穩(wěn)定，伴隨著社會(huì)經(jīng)濟(jì)的迅猛發(fā)展，水源水及管網(wǎng)水的水質(zhì)問題日益突出，輸配水管線老化、腐蝕現(xiàn)象嚴(yán)重，管網(wǎng)二次污染問題不容樂觀，且多數(shù)城市的供水系統(tǒng)尚未建立統(tǒng)一的管網(wǎng)監(jiān)控、調(diào)度管理和管網(wǎng)水質(zhì)保障技術(shù)平臺(tái)。因此，以有效保障供水系統(tǒng)的水質(zhì)安全性和供水可靠性為目標(biāo)，對從原水調(diào)配到供水管網(wǎng)的仿真建模再到供水系統(tǒng)調(diào)度運(yùn)行等一系列的優(yōu)化技術(shù)展開研究，尋求基于水質(zhì)保障的供水系統(tǒng)運(yùn)行、調(diào)控、管理方案，為飲用水安全保障提供技術(shù)支持，具有非常重要的意義。 本文首先從水資源優(yōu)化配置角度出發(fā)，針對目前研究過程中，多注重對水量的調(diào)配及調(diào)配過程中的經(jīng)濟(jì)效益，而忽略了原水水質(zhì)對水廠處理工藝及管網(wǎng)水質(zhì)的影響等問題，以黃河中上游地區(qū)水質(zhì)狀況較差的水源井輸配系統(tǒng)為研究對象，研究黃河干流兩側(cè)引黃地區(qū)淺層地下水的水質(zhì)特征，采用傅里葉變換與人工神經(jīng)網(wǎng)絡(luò)相結(jié)合方法建立入廠處—水源井特征污染物耦合模型；并在此基礎(chǔ)上，構(gòu)建基于特征污染物控制的原水優(yōu)化調(diào)配模型，采用自適應(yīng)并行遺傳算法予以求解，并研發(fā)了相應(yīng)的應(yīng)用程序和軟件；將所研發(fā)的技術(shù)應(yīng)用于黃河中上游地區(qū)Z市水源地，驗(yàn)證了所研發(fā)的優(yōu)化調(diào)配模型的有效性和實(shí)用性。 針對供水管網(wǎng)微觀仿真模型精度較低、應(yīng)用范圍受限等問題，對開放式區(qū)域供水管網(wǎng)的動(dòng)態(tài)仿真建模技術(shù)進(jìn)行研究，從研發(fā)精度較高的管網(wǎng)參數(shù)測試裝置、對區(qū)域供水管網(wǎng)的邊界流量進(jìn)行自適應(yīng)優(yōu)化調(diào)整等技術(shù)方法入手，提高所構(gòu)建的仿真模型的精度；在此基礎(chǔ)上，本文提出了管網(wǎng)典型水質(zhì)指標(biāo)的模擬分析技術(shù)，實(shí)現(xiàn)了基于微觀模型的余氯模擬以及基于神經(jīng)網(wǎng)絡(luò)的濁度、鐵等指標(biāo)的模擬計(jì)算；將所研發(fā)的《城市供水安全保障平臺(tái)》在我國大中型城市J市開放式區(qū)域供水管網(wǎng)進(jìn)行應(yīng)用與實(shí)踐，驗(yàn)證了所構(gòu)建的仿真模型的精度和水質(zhì)模擬結(jié)果的準(zhǔn)確性。 在供水系統(tǒng)的優(yōu)化調(diào)度方面，，當(dāng)前研究大多忽略了不同水源的切換對管網(wǎng)水質(zhì)的影響。針對此問題，本文以黃河中下游地區(qū)多水源切換供水城市為研究對象，對“黃水”成因進(jìn)行分析，通過對以黃河水、山區(qū)水庫水為水源的出廠水進(jìn)行混合調(diào)配實(shí)驗(yàn)，對“黃水”的應(yīng)對措施進(jìn)行探討；在建立以余氯、鐵等作為控制指標(biāo)的多組分水質(zhì)目標(biāo)函數(shù)的基礎(chǔ)上，構(gòu)建兩級(jí)優(yōu)化調(diào)度模型，并采用多目標(biāo)進(jìn)化算法NSGA-Ⅱ予以求解，進(jìn)而研發(fā)了《城市供水優(yōu)化運(yùn)行系統(tǒng)》；將所研發(fā)的技術(shù)應(yīng)用于J市多水源混合供水區(qū)域，通過優(yōu)化調(diào)配計(jì)算，在保障供水可靠性和經(jīng)濟(jì)性的同時(shí)，加強(qiáng)了研究區(qū)域管網(wǎng)的水質(zhì)化學(xué)穩(wěn)定性，降低了“黃水”發(fā)生的幾率。 本文以保障供水系統(tǒng)的水質(zhì)安全性、供水可靠性和供水經(jīng)濟(jì)性為目標(biāo)，通過將自適應(yīng)并行遺傳算法、人工神經(jīng)網(wǎng)絡(luò)、多目標(biāo)進(jìn)化算法NSGA-Ⅱ等現(xiàn)代智能優(yōu)化方法應(yīng)用于基于特征污染物控制的原水優(yōu)化調(diào)配、開放式區(qū)域供水管網(wǎng)仿真建模與水質(zhì)模擬以及多水源切換條件下的供水系統(tǒng)優(yōu)化運(yùn)行管理等方面的研究，建立從水源到管網(wǎng)的水質(zhì)安全保障平臺(tái)，為城市供水系統(tǒng)的科學(xué)化、合理化運(yùn)行管理提供了有力的技術(shù)支持。
[Abstract]:The water quality safety of drinking water is related to the national economy and the people's livelihood and social stability. With the rapid development of the social economy, the water quality problem of water source water and pipe network is becoming more and more prominent, the distribution pipe line is aging, the corrosion phenomenon is serious, the two pollution problems of the pipe network are not optimistic, and the water supply system in most cities has not established the unified network monitoring and management. In order to effectively guarantee the water quality safety and water supply reliability of the water supply system, a series of optimization techniques, such as the simulation modeling from the original water distribution to the water supply network and the dispatching and operation of the water supply system, are carried out to seek the operation, control and management scheme of water supply system based on water quality guarantee. It is of great significance to provide technical support for drinking water safety protection.
From the angle of optimal allocation of water resources, this paper, in view of the current research process, pays more attention to the economic benefits during the adjustment and allocation of water, but neglects the effect of the water quality on the processing technology and the water quality of the pipe network, and takes the water source well distribution system of the middle and upper reaches of the Yellow River as the research object. The water quality characteristics of shallow groundwater in the Yellow River diversion area on both sides of the the Yellow River main stream are studied. The coupling model of the characteristic pollutants of the water source well is established by combining the Fourier transform and artificial neural network. On this basis, the optimization and allocation model of the raw water based on the characteristic pollutant control is constructed, and the adaptive parallel genetic algorithm is adopted. The application program and software are developed and applied to the water source of Z city in the middle and upper reaches of the Yellow River. The validity and practicability of the developed optimization and deployment model are verified.
In view of the low precision of the micro simulation model of the water supply network and the limited application scope, the dynamic simulation modeling technology of the open regional water supply network is studied. The technical method of adaptive optimization and adjustment of the boundary flow of the regional water supply pipe network is carried out from the high precision pipe network parameter testing device, and the construction is improved. On the basis of this, the simulation and analysis technology of typical water quality indexes of the pipe network is proposed. The simulation of residual chlorine based on micro model and the simulation calculation of turbidity and iron based on neural network are realized, and the developed "urban water supply security platform" is used in the open area of J city in China's large and medium cities. The application and practice of the water supply network verify the accuracy of the simulation model and the accuracy of the water quality simulation results.
In the field of optimal dispatching of water supply system, most of the current studies have neglected the influence of the switching of different water sources on the water quality of the pipe network. In this paper, this paper takes the multi water supply city in the middle and lower reaches of the Yellow River as the research object, analyzes the cause of the "yellow water", and carries out the water from the the Yellow River water and the mountain reservoir water as the water source. On the basis of establishing the multi-component water quality target function with residual chlorine and iron as the control index, the two level optimal scheduling model is built, and the multi-objective evolutionary algorithm NSGA- II is used to solve it, and then the urban water supply optimization operation system is developed, and the research and development is developed. The technology is applied to the multi water mixed water supply area in J city. Through optimization and allocation calculation, the water quality chemical stability of the research area pipe network is strengthened and the probability of "yellow water" is reduced while the reliability and economy of water supply are ensured.
In order to guarantee water quality safety, water supply reliability and water supply economy, this paper applies adaptive parallel genetic algorithm, artificial neural network, multi-objective evolutionary algorithm NSGA- II and other modern intelligent optimization methods to optimize and allocate raw water based on characteristic pollutant control and simulation modeling of open regional water supply network. With the water quality simulation and the research on the optimal operation and management of water supply system under the condition of multi water source switching, the water quality safety guarantee platform from water source to pipe network is set up, which provides a powerful technical support for the scientific and rational operation and management of the urban water supply system.
【學(xué)位授予單位】：青島理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU991
本文編號(hào)：2141462
[Abstract]:The water quality safety of drinking water is related to the national economy and the people's livelihood and social stability. With the rapid development of the social economy, the water quality problem of water source water and pipe network is becoming more and more prominent, the distribution pipe line is aging, the corrosion phenomenon is serious, the two pollution problems of the pipe network are not optimistic, and the water supply system in most cities has not established the unified network monitoring and management. In order to effectively guarantee the water quality safety and water supply reliability of the water supply system, a series of optimization techniques, such as the simulation modeling from the original water distribution to the water supply network and the dispatching and operation of the water supply system, are carried out to seek the operation, control and management scheme of water supply system based on water quality guarantee. It is of great significance to provide technical support for drinking water safety protection.
From the angle of optimal allocation of water resources, this paper, in view of the current research process, pays more attention to the economic benefits during the adjustment and allocation of water, but neglects the effect of the water quality on the processing technology and the water quality of the pipe network, and takes the water source well distribution system of the middle and upper reaches of the Yellow River as the research object. The water quality characteristics of shallow groundwater in the Yellow River diversion area on both sides of the the Yellow River main stream are studied. The coupling model of the characteristic pollutants of the water source well is established by combining the Fourier transform and artificial neural network. On this basis, the optimization and allocation model of the raw water based on the characteristic pollutant control is constructed, and the adaptive parallel genetic algorithm is adopted. The application program and software are developed and applied to the water source of Z city in the middle and upper reaches of the Yellow River. The validity and practicability of the developed optimization and deployment model are verified.
In view of the low precision of the micro simulation model of the water supply network and the limited application scope, the dynamic simulation modeling technology of the open regional water supply network is studied. The technical method of adaptive optimization and adjustment of the boundary flow of the regional water supply pipe network is carried out from the high precision pipe network parameter testing device, and the construction is improved. On the basis of this, the simulation and analysis technology of typical water quality indexes of the pipe network is proposed. The simulation of residual chlorine based on micro model and the simulation calculation of turbidity and iron based on neural network are realized, and the developed "urban water supply security platform" is used in the open area of J city in China's large and medium cities. The application and practice of the water supply network verify the accuracy of the simulation model and the accuracy of the water quality simulation results.
In the field of optimal dispatching of water supply system, most of the current studies have neglected the influence of the switching of different water sources on the water quality of the pipe network. In this paper, this paper takes the multi water supply city in the middle and lower reaches of the Yellow River as the research object, analyzes the cause of the "yellow water", and carries out the water from the the Yellow River water and the mountain reservoir water as the water source. On the basis of establishing the multi-component water quality target function with residual chlorine and iron as the control index, the two level optimal scheduling model is built, and the multi-objective evolutionary algorithm NSGA- II is used to solve it, and then the urban water supply optimization operation system is developed, and the research and development is developed. The technology is applied to the multi water mixed water supply area in J city. Through optimization and allocation calculation, the water quality chemical stability of the research area pipe network is strengthened and the probability of "yellow water" is reduced while the reliability and economy of water supply are ensured.
In order to guarantee water quality safety, water supply reliability and water supply economy, this paper applies adaptive parallel genetic algorithm, artificial neural network, multi-objective evolutionary algorithm NSGA- II and other modern intelligent optimization methods to optimize and allocate raw water based on characteristic pollutant control and simulation modeling of open regional water supply network. With the water quality simulation and the research on the optimal operation and management of water supply system under the condition of multi water source switching, the water quality safety guarantee platform from water source to pipe network is set up, which provides a powerful technical support for the scientific and rational operation and management of the urban water supply system.
【學(xué)位授予單位】：青島理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU991
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