本文關(guān)鍵詞： 供熱管網(wǎng) 瞬變流 慢變流 漏失檢測 貝葉斯(Bayes)方法　出處：《哈爾濱工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來,隨著我國供熱事業(yè)的不斷發(fā)展,供熱管網(wǎng)漏損控制已逐漸被重視起來。城市供熱管網(wǎng)的漏損事故,不但造成經(jīng)濟損失,而且還嚴(yán)重影響了我國的民生工程。供熱管網(wǎng)具有復(fù)雜的拓?fù)浣Y(jié)構(gòu)且處于地下管線空間,因此對于供熱管網(wǎng)的漏損定位具有一定的難度。本文基于瞬變流理論,對供熱管網(wǎng)中的易漏部件補償器和閥門進行壓力突變狀態(tài)下的數(shù)學(xué)建模;同時基于慢變流理論,建立供熱管網(wǎng)泄漏模型,然后通過引入系統(tǒng)辨識方法建立供熱管網(wǎng)漏失檢測模型,并對該模型進行理論上的研究。供熱管網(wǎng)由很多元部件組成,其中的方形補償器與閥門是兩個重要的部件也是易漏部件。對方形補償器根據(jù)局部阻力等效原理將其轉(zhuǎn)化為縮管徑的短管段進行模擬,觀察其在壓力突變狀態(tài)下補償器的壓力波動;同時根據(jù)波的獨立傳播與疊加原理,研究閥門的特性,通過對比單閥調(diào)節(jié)與雙閥調(diào)節(jié)時末端閥門以及中間閥門的壓力變化,找到合理布置閥門的方式。最后對哈爾濱市某一供熱管網(wǎng)的事故工況進行情景復(fù)現(xiàn)。根據(jù)圖論理論知識,建立供熱管網(wǎng)的拓?fù)浣Y(jié)構(gòu),并以該結(jié)構(gòu)作為泄漏模型的基礎(chǔ),建立供熱管網(wǎng)的基本水力模型。將泄漏發(fā)生位置向最近的一個節(jié)點靠攏,使得泄漏量成為該節(jié)點流量的一部分,其中泄漏量采用孔口出流公式進行計算。根據(jù)矩陣論的知識導(dǎo)出以泄漏量為變量的各管段流量與節(jié)點壓強,最后通過一個管網(wǎng)進行了該泄漏模型的水力計算。由于管網(wǎng)運行的狀態(tài)會影響管網(wǎng)中管段流量和節(jié)點壓強的大小,以此將這兩個參數(shù)作為監(jiān)測參數(shù)。在已有的供熱管網(wǎng)泄漏模型基礎(chǔ)上引入系統(tǒng)辨識理論,建立了基于貝葉斯(Bayes)方法的供熱管網(wǎng)漏失檢測模型。通過設(shè)置兩種不同泄漏位置的方案對一供熱管網(wǎng)進行驗證運算,計算得到泄漏點的概率分別為0.738和0.852,能夠很好的找到泄漏點的位置以及泄漏程度,從而驗證了模型的可靠性。
[Abstract]:In recent years, with the continuous development of heating industry in China, leakage control of heating network has been gradually attached importance to. Leakage accidents of urban heating network not only cause economic losses. Heating network has complex topology and is in underground pipeline space, so it is difficult to locate the leakage of heating network. This paper is based on transient flow theory. The mathematical model of the leaky parts compensator and valve in the heating pipe network under the condition of sudden pressure change is carried out. At the same time, based on the theory of slow variable flow, the leakage model of heating network is established, and then the leakage detection model of heating network is established by introducing the system identification method. The model is theoretically studied. The heating network is composed of many components. Square compensator and valve are two important components and easy to leak. The square compensator is transformed into a short pipe with reduced diameter according to the principle of local resistance equivalence. The pressure fluctuation of compensator was observed under the condition of sudden change of pressure. At the same time, according to the principle of independent wave propagation and superposition, the characteristics of the valve are studied, and the pressure changes of the end valve and the middle valve are compared between the single valve regulation and the double valve regulation. Finally, the accident condition of a heating network in Harbin is reappeared. According to the theory of graph theory, the topological structure of heating network is established. Taking the structure as the basis of the leakage model, the basic hydraulic model of the heating network is established. The location of the leakage is close to the nearest node, which makes the leakage become a part of the node flow. According to the knowledge of matrix theory, the flow rate and node pressure of each section of the pipe with leakage volume as variable are derived. Finally, the hydraulic calculation of the leakage model is carried out through a pipe network. Because the state of the pipe network operation will affect the pipe flow and the pressure of the node in the pipe network. Taking these two parameters as monitoring parameters, the system identification theory is introduced on the basis of the existing leakage model of heating network. The leakage detection model of heating network based on Bayesian Bayes method is established, and the verification operation of a heating network is carried out by setting two different leakage locations. The probability of calculating the leakage point is 0.738 and 0.852respectively, which can find the location of the leak point and the leakage degree, which verifies the reliability of the model.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TU995.3

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本文編號：1449289