發(fā)布時(shí)間：2018-03-17 10:47

  本文選題：供熱管網(wǎng)　切入點(diǎn)：故障診斷　出處：《河北工程大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著經(jīng)濟(jì)的快速發(fā)展,城鎮(zhèn)化集中供熱規(guī)模不斷增加,隨之而來的是供熱故障的發(fā)生。伴隨計(jì)算機(jī)技術(shù)的不斷進(jìn)步,為了提高供熱系統(tǒng)的經(jīng)濟(jì)效益和社會(huì)效益,利用智能化手段對(duì)集中供熱系統(tǒng)進(jìn)行實(shí)時(shí)監(jiān)控和管理是現(xiàn)代發(fā)展的趨勢(shì)。本文嘗試用模糊神經(jīng)網(wǎng)絡(luò)診斷供熱管網(wǎng)故障損壞程度,主要做了以下幾方面的研究工作:本文總結(jié)供熱管網(wǎng)故障診斷常用的智能方法,以及供熱系統(tǒng)國內(nèi)外發(fā)展現(xiàn)狀、供熱事故研究現(xiàn)狀、供熱管網(wǎng)故障診斷研究和進(jìn)展。概述BP神經(jīng)網(wǎng)絡(luò)和模糊邏輯系統(tǒng)的基本理論知識(shí)。對(duì)邯鄲市熱力公司供熱系統(tǒng)情況進(jìn)行統(tǒng)計(jì),通過舉例供熱管網(wǎng)故障案例證明預(yù)測(cè)供熱系統(tǒng)故障的重要性,為供熱管網(wǎng)運(yùn)行提出建議。分析供熱管網(wǎng)故障原因并提出應(yīng)對(duì)故障的措施。采用BP神經(jīng)網(wǎng)絡(luò)為模型對(duì)供熱管網(wǎng)進(jìn)行診斷,運(yùn)用MATLAB軟件實(shí)現(xiàn)了模型的訓(xùn)練和仿真,結(jié)果證明了BP神經(jīng)網(wǎng)絡(luò)可以用于故障診斷,但是也發(fā)現(xiàn)了BP神經(jīng)網(wǎng)路存在很多劣勢(shì)。為了避免模型的缺點(diǎn),本文決定將BP神經(jīng)網(wǎng)絡(luò)和模糊邏輯系統(tǒng)結(jié)合在一起用于供熱管網(wǎng)故障診斷分析。運(yùn)用隸屬度函數(shù)將樣本數(shù)據(jù)模糊化,根據(jù)模糊規(guī)則和模糊推理結(jié)合BP神經(jīng)網(wǎng)絡(luò)形成模糊神經(jīng)網(wǎng)絡(luò)結(jié)構(gòu),從而對(duì)供熱管網(wǎng)進(jìn)行診斷。以邯鄲市熱力管網(wǎng)故障損壞程度為例,輸入因素為竣工時(shí)間、投運(yùn)時(shí)間、管道管徑,輸出因素為故障損壞程度。運(yùn)用MATLAB程序進(jìn)行訓(xùn)練和仿真,仿真結(jié)果表明模糊神經(jīng)網(wǎng)絡(luò)比BP神經(jīng)網(wǎng)絡(luò)收斂速度快、準(zhǔn)確率高,模糊神經(jīng)網(wǎng)可以用在供熱管網(wǎng)的故障損壞程度診斷。
[Abstract]:With the rapid development of economy, the urbanization of central heating scale increasing, followed by heating failure. With the continuous development of computer technology, in order to improve the heating system of the economic and social benefits, the use of intelligent means of modern trends in the development of central heating system for real-time monitoring and management. This paper attempts to use the fuzzy neural network fault diagnosis for damage, mainly do the following research work: This paper summarizes the commonly used methods of intelligent heating pipe network fault diagnosis, and the heating system at home and abroad, the research status of heating accidents, heating pipe network fault diagnosis research and progress. An overview of BP neural network and fuzzy logic system of the basic theory of knowledge. The statistics of the Thermotics Inc of heating system in Handan City, through the example of heating pipe network fault prediction system for heat proof case Fault importance, put forward the proposal for the heating network operation. The causes of malfunction of heat pipe network and put forward corresponding measures of failure. By using BP neural network to diagnose the heating network model, using the MATLAB software to realize the training and simulation model, results show that BP neural network can be used for fault diagnosis, but also found the BP nerve the Internet has many disadvantages. In order to avoid the shortcomings of this model, the BP neural network and fuzzy logic system are combined for analysis of heating network fault diagnosis. Using the membership function of the fuzzy sample data, according to the fuzzy rules and fuzzy inference BP neural network combined with fuzzy neural network structure, thus the diagnosis of heating network. To the extent of the damage fault heat pipe network Handan city as an example, the input factors for the completion time, operation time, pipe diameter, output factors for fault. The MATLAB program is used for training and simulation. The simulation results show that the convergence speed of fuzzy neural network is faster than that of BP neural network, and the accuracy rate is high. Fuzzy neural network can be used to diagnose the degree of fault damage in heating network.

【學(xué)位授予單位】：河北工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU995.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳知富;;中小城市集中供熱的現(xiàn)狀問題及規(guī)劃發(fā)展探討[J];區(qū)域供熱;2016年02期

2 林俐;湯亞芳;張尚然;;基于改進(jìn)BP算法的短期電力系統(tǒng)負(fù)荷預(yù)測(cè)[J];中小企業(yè)管理與科技(上旬刊);2015年07期

3 楊俊鋒;;模糊神經(jīng)網(wǎng)絡(luò)在智能交通系統(tǒng)中的應(yīng)用[J];黑龍江科技信息;2014年32期

4 張俊發(fā);喬晨曄;王魁吉;;供熱系統(tǒng)的安全運(yùn)行與事故預(yù)防[J];區(qū)域供熱;2014年04期

5 段蘭蘭;田琦;段鵬飛;李哲;;基于遺傳優(yōu)化BP神經(jīng)網(wǎng)絡(luò)的供熱管網(wǎng)故障診斷模型[J];中北大學(xué)學(xué)報(bào)(自然科學(xué)版);2014年03期

6 吉忠平;;大型供熱管網(wǎng)安全問題的分析與思考[J];同煤科技;2011年01期

7 牛培峰;張密哲;陳貴林;王懷寶;張君;竇春霞;;自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)控制在鍋爐過熱汽溫控制中的應(yīng)用[J];動(dòng)力工程學(xué)報(bào);2011年02期

8 臧大進(jìn);曹云峰;;故障診斷技術(shù)的研究現(xiàn)狀及展望[J];西安文理學(xué)院學(xué)報(bào)(自然科學(xué)版);2011年01期

9 徐中堂;;六十年發(fā)展中的城市集中供熱[J];區(qū)域供熱;2010年02期

10 李培強(qiáng);劉志勇;李欣然;汪l，

本文編號(hào)：1624400