發(fā)布時(shí)間：2018-04-13 12:21

  本文選題：隧道通風(fēng) + 小波神經(jīng)網(wǎng)絡(luò)�。� 參考：《長(zhǎng)安大學(xué)》2014年碩士論文

【摘要】：由“十二五”規(guī)劃中交通運(yùn)輸領(lǐng)域體系，安全高效的交通運(yùn)輸服務(wù)體系關(guān)乎重要的民生與經(jīng)濟(jì)意義。其中公路隧道的高效運(yùn)行體系也在不斷的完善，無(wú)論從安全或節(jié)能問(wèn)題上，都有研究的必要性。本文以太古西山隧道為依托，針對(duì)公路隧道通風(fēng)控制系統(tǒng)方向，克服由于非線性控制系統(tǒng)造成的滯后與多參數(shù)控制困難，就如何高效的排放隧道的(主要煙霧CO、Visibility）污染，如何實(shí)現(xiàn)在隧道中的風(fēng)機(jī)啟�？刂撇呗�，提出以上問(wèn)題的研究及控制方法。 本文分為以下四方面：首先，公路隧道通風(fēng)控制系統(tǒng)的相關(guān)模型研究，包括污染物的變化動(dòng)力模型、交通流的模型、確定CO/VI的需風(fēng)量的控制系統(tǒng)結(jié)構(gòu)與目標(biāo)；其次，具體到本項(xiàng)目的控制結(jié)構(gòu)與模型分析，說(shuō)明交通預(yù)測(cè)的必要性，并結(jié)合分析確定以小波神經(jīng)網(wǎng)絡(luò)的預(yù)測(cè)方法，簡(jiǎn)述方法過(guò)程及參考指標(biāo)等，基本實(shí)現(xiàn)了在誤差范圍內(nèi)的有效預(yù)測(cè)；再次，以實(shí)際值和控制器目標(biāo)設(shè)定偏差值，結(jié)合交通量，前饋控制等，經(jīng)過(guò)模糊原理推論，設(shè)計(jì)隧道通風(fēng)控制系統(tǒng)的模糊控制器，，仿真說(shuō)明設(shè)計(jì)的可靠性，確定輸出風(fēng)機(jī)的啟�？刂茢�(shù)量；最后，建立模擬臺(tái)平，對(duì)基于模糊控制的公路隧道通風(fēng)控制系統(tǒng)實(shí)驗(yàn)研究，由軟件與硬件兩部分實(shí)現(xiàn)，軟件STEP7_v5.5、組態(tài)王等，硬件是CO/VI傳感器、工控機(jī)、S7-300PLC、射流風(fēng)機(jī)等，在上位機(jī)上實(shí)時(shí)監(jiān)控控制效果目標(biāo)。 驗(yàn)證結(jié)果，本文通過(guò)同時(shí)應(yīng)用小波神經(jīng)網(wǎng)絡(luò)與模糊控制原理，融合應(yīng)用于本公路隧道的通風(fēng)控制系統(tǒng)中，使得通風(fēng)控制系統(tǒng)不僅有強(qiáng)的學(xué)習(xí)優(yōu)勢(shì)而且能夠克服實(shí)際控制的非線性與滯后缺陷，通過(guò)理論與實(shí)際工程的相結(jié)合，同時(shí)基本滿足了安全通風(fēng)與優(yōu)化能源的要求，表明了此研究具有的切實(shí)意義。
[Abstract]:In the 12th Five-Year Plan, a safe and efficient transportation service system is of vital importance to people's livelihood and economy.The efficient operation system of highway tunnel is also improving continuously, no matter from safety or energy saving, it is necessary to study.Based on the Swire Xishan Tunnel, aiming at the direction of ventilation control system of highway tunnel, this paper overcomes the hysteresis and multi-parameter control difficulty caused by nonlinear control system, and discusses how to efficiently discharge the pollution of tunnel (main smoke COVisibility).How to realize the control strategy of fan start and stop in tunnel, the research and control method of the above problems are put forward.This paper is divided into the following four aspects: first, the study of the relevant models of highway tunnel ventilation control system, including the change of pollutant dynamics model, traffic flow model, determine the structure and objectives of the CO/VI air volume control system, secondly,The control structure and model of this project are analyzed, the necessity of traffic forecast is explained, the forecasting method based on wavelet neural network is determined, and the method process and reference index are briefly described.Finally, the fuzzy controller of tunnel ventilation control system is designed with actual value and controller target setting deviation value, combined with traffic volume, feedforward control and so on, after fuzzy principle inference, the fuzzy controller of tunnel ventilation control system is designed.Simulation shows the reliability of the design, determines the number of output fan start and stop control. Finally, the simulation platform level is established, and the experimental research of highway tunnel ventilation control system based on fuzzy control is realized by both software and hardware.Software STEP7V5.5, Kingview, hardware is CO/VI sensor, industrial control computer S7-300 PLC, jet fan and so on, real-time monitoring control effect on the upper computer.The results show that this paper applies wavelet neural network and fuzzy control principle to the ventilation control system of the highway tunnel at the same time.The ventilation control system not only has a strong learning advantage, but also can overcome the nonlinear and lag defects of practical control. Through the combination of theory and practical engineering, it basically meets the requirements of safe ventilation and energy optimization.It shows that this study has practical significance.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U453.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 李紅萍;賈秀明;張德泉;;基于虛擬技術(shù)的組態(tài)王控制技術(shù)實(shí)訓(xùn)室的構(gòu)建[J];工業(yè)控制計(jì)算機(jī);2011年03期

2 崔艷;程躍華;;小波支持向量機(jī)在交通流量預(yù)測(cè)中的應(yīng)用[J];計(jì)算機(jī)仿真;2011年07期

3 吳秉煒;;高速公路隧道通風(fēng)控制系統(tǒng)研究[J];中國(guó)交通信息產(chǎn)業(yè);2010年03期

4 萬(wàn)李;楊杰;;小波神經(jīng)網(wǎng)絡(luò)在短時(shí)交通流量預(yù)測(cè)中的應(yīng)用[J];計(jì)算機(jī)仿真;2012年09期

5 李春;齊向東;;基于組態(tài)王與PLC的車間大門仿真控制設(shè)計(jì)[J];機(jī)電產(chǎn)品開(kāi)發(fā)與創(chuàng)新;2012年06期

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