本文選題：供水管網(wǎng) + 優(yōu)化布置　； 參考：《遼寧工程技術(shù)大學(xué)》2014年碩士論文

【摘要】：供水管道能否暢通運(yùn)行直接關(guān)系到供水企業(yè)和居民的正常生活以及工業(yè)生產(chǎn)過程的正常運(yùn)轉(zhuǎn)。本論文以大同煤礦集團(tuán)的供水管網(wǎng)為研究對(duì)象,大同煤礦的供水管道由于多年缺乏維護(hù),存在著供水管道設(shè)施陳舊,管子的腐蝕也比較嚴(yán)重,極易造成供水管道破裂等問題。本文首先對(duì)大同煤礦集團(tuán)實(shí)際供水管道現(xiàn)狀進(jìn)行現(xiàn)場調(diào)研之后,設(shè)計(jì)了一套供水管網(wǎng)遠(yuǎn)程監(jiān)測系統(tǒng),系統(tǒng)的整體設(shè)計(jì)以物聯(lián)網(wǎng)三層架構(gòu)為基礎(chǔ),以分層設(shè)計(jì)思想為主線,詳細(xì)給出了采集層、傳輸層、應(yīng)用層的設(shè)計(jì)實(shí)現(xiàn)流程和具體設(shè)計(jì)方法。然后根據(jù)實(shí)際狀況,運(yùn)用改進(jìn)的模糊聚類分析法,并運(yùn)用EPANET對(duì)管網(wǎng)進(jìn)行水利模擬,提出了較為合理的測壓點(diǎn)優(yōu)化布置的方案。詳細(xì)論述了事故產(chǎn)生時(shí)的管網(wǎng)中測壓點(diǎn)的壓力變化特征,首先建立管網(wǎng)微觀水力模型,對(duì)供水管網(wǎng)事故工況進(jìn)行模擬,進(jìn)而觀察和評(píng)估事故影響壓力變化的效果,通過實(shí)例分析,建立供水管網(wǎng)漏損事故特征信息庫。提出“二步走”進(jìn)行事故點(diǎn)的準(zhǔn)確定位：第一步是利用BP神經(jīng)網(wǎng)絡(luò)法智能識(shí)別出事故區(qū)域,即利用事故特征信息庫對(duì)BP神經(jīng)網(wǎng)絡(luò)進(jìn)行學(xué)習(xí)與訓(xùn)練,建立事故區(qū)與測壓點(diǎn)壓力變化之間的非線性關(guān)系,然后將各測壓點(diǎn)的壓力變化信息作為已知條件,進(jìn)而通過該神經(jīng)網(wǎng)絡(luò)來完成事故區(qū)的識(shí)別；第二步是在前者基礎(chǔ)上,運(yùn)用微觀水力模型及統(tǒng)計(jì)學(xué)方法來完成可疑事故點(diǎn)的定位,利用黃金分割法完成漏損量的估算。
[Abstract]:The smooth operation of water supply pipeline is directly related to the normal life of water supply enterprises and residents as well as the normal operation of industrial production process. This paper takes the water supply pipe network of Datong Coal Mine Group as the research object. Due to the lack of maintenance for many years, the water supply pipeline in Datong Coal Mine has many problems, such as the outmoded water supply pipeline facilities, the serious corrosion of the pipes, and so on, which can easily cause the water supply pipeline to break. After investigating the actual water supply pipeline status of Datong Coal Mine Group, this paper designs a remote monitoring system of water supply network. The whole design of the system is based on the three-layer structure of the Internet of things, and the main line is the idea of layered design. The design process and design method of acquisition layer, transmission layer and application layer are given in detail. Then, according to the actual situation, the improved fuzzy cluster analysis method and EPANET are used to simulate the water conservancy of the pipe network, and a more reasonable scheme of optimal layout of pressure measuring points is put forward. This paper discusses in detail the pressure variation characteristics of the pressure measuring points in the pipeline network when the accident occurs. Firstly, the micro hydraulic model of the pipe network is established, and the accident condition of the water supply network is simulated, and the effect of the accident affecting the pressure change is observed and evaluated. Through the analysis of examples, the information base of leakage accident characteristics of water supply network is established. It is put forward that "two-step walking" can accurately locate the accident point. The first step is to use BP neural network to identify the accident area intelligently, that is, to study and train the BP neural network by using the accident characteristic information base. The nonlinear relationship between the accident area and the pressure change of the pressure measuring point is established, and then the pressure change information of each pressure measuring point is taken as the known condition, and then the identification of the accident area is completed by the neural network. The second step is based on the former. The microscopic hydraulic model and statistical method were used to locate the suspected accident point and the golden section method was used to estimate the leakage amount.
【學(xué)位授予單位】：遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU991.33

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本文編號(hào)：2020497