【摘要】：隨著社會經(jīng)濟(jì)的快速發(fā)展,城市化建設(shè)發(fā)展越來越迅速,城市公路交通在其中扮演著愈來愈重要的作用,其中隧道的作用在交通工程中占有不可忽視的地位。城市隧道是城市道路的重要組成部分,是根據(jù)城市地形特點和城市交通建設(shè)現(xiàn)狀,為了緩解交通擁堵,方便市民出行而修建的一段城市公路隧道。武漢這幾年規(guī)劃并且建成了不少城市隧道,包括已經(jīng)投入使用的武漢長江隧道、水果湖隧道、八一路隧道、中山路隧道、黃龍山隧道以及在建的東湖隧道等等。這些隧道的投入使用一定程度上緩解了武漢的交通壓力,顯著提高了武漢市民的通行效率,促進(jìn)了武漢的經(jīng)濟(jì)發(fā)展。本文依托武漢市八一路隧道為課題背景,從火災(zāi)監(jiān)控系統(tǒng)的國內(nèi)外研究現(xiàn)狀出發(fā),總結(jié)了國外隧道火災(zāi)報警監(jiān)控系統(tǒng)的優(yōu)點,分析了國內(nèi)火災(zāi)報警監(jiān)控系統(tǒng)的缺點與不足,并提出了具體的實現(xiàn)解決方案。同時分析了隧道火災(zāi)診斷中常用的傳感器并對它們進(jìn)行了分類,在此基礎(chǔ)上研究了各類傳感器輸出信息的形式,并獲得更為準(zhǔn)確可靠的火災(zāi)狀況估計。本文首先介紹了數(shù)據(jù)融合的意義以及相應(yīng)的層次結(jié)構(gòu),同時分析介紹了幾個主要的數(shù)據(jù)融合算法(如Bayes方法、D-S推理法等),接著介紹了火災(zāi)監(jiān)控系統(tǒng)中相應(yīng)的傳感器的種類以及其輸出信息的形式,以及對決策層融合目標(biāo)識別中的不確定性信息進(jìn)行分類并指出了相應(yīng)的處理方法,包括不確定性信息處理方法和集成方法;接著具體介紹隧道監(jiān)控系統(tǒng)中多傳感器的融合問題,并提出具體實現(xiàn)融合的方案,同時將D-S證據(jù)理論和BP神經(jīng)網(wǎng)絡(luò)技術(shù)應(yīng)用到該融合方案中,并進(jìn)行實際的數(shù)據(jù)融合算法仿真分析,發(fā)現(xiàn)該理論能夠有效去除整體數(shù)據(jù)中的異常數(shù)據(jù),對火災(zāi)監(jiān)控系統(tǒng)的聯(lián)動準(zhǔn)確性的提高有較明顯的改善。最后本論文將城市隧道智能監(jiān)控系統(tǒng)以系統(tǒng)策略控制層、信息采集與處理層、傳感器控制層、傳感器物理層的四層架構(gòu)進(jìn)行實現(xiàn),并利用基于D-S證據(jù)理論技術(shù)應(yīng)用于火災(zāi)監(jiān)控的實際項目中,并詳細(xì)設(shè)計和實現(xiàn)了城市隧道監(jiān)控的火災(zāi)報警系統(tǒng)。
[Abstract]:With the rapid development of social economy and the rapid development of urbanization, urban highway traffic plays a more and more important role, and the role of tunnel plays an important role in traffic engineering. Urban tunnel is an important part of urban road. It is a section of urban highway tunnel which is built according to the characteristics of urban topography and the present situation of urban traffic construction in order to alleviate traffic congestion and make it convenient for citizens to travel. Wuhan has planned and built many urban tunnels in recent years, including the Wuhan Yangtze River Tunnel, the Shuiguo Lake Tunnel, the Bayi Road Tunnel, the Zhongshan Road Tunnel, the Huanglong Mountain Tunnel and the East Lake Tunnel under construction. The use of these tunnels to some extent alleviates the traffic pressure in Wuhan, improves the traffic efficiency of Wuhan citizens, and promotes the economic development of Wuhan. Based on the research background of Bayi Road Tunnel in Wuhan, this paper summarizes the advantages of foreign tunnel fire alarm monitoring system, and analyzes the shortcomings and shortcomings of the domestic fire alarm monitoring system. And put forward the concrete realization solution. At the same time, the sensors commonly used in tunnel fire diagnosis are analyzed and classified. On this basis, the output information of all kinds of sensors is studied, and more accurate and reliable fire condition estimation is obtained. This paper first introduces the significance of data fusion and the corresponding hierarchical structure. At the same time, several main data fusion algorithms (such as Bayes method, D-S reasoning method, etc.) are analyzed and introduced. Then it introduces the types of sensors and the form of output information in the fire monitoring system, classifies the uncertain information in decision level fusion target recognition, and points out the corresponding processing methods. Including uncertain information processing method and integration method; Secondly, the problem of multi-sensor fusion in tunnel monitoring system is introduced in detail, and the scheme to realize the fusion is put forward. At the same time, D-S evidence theory and BP neural network technology are applied to the fusion scheme. The simulation analysis of the actual data fusion algorithm shows that the theory can effectively remove the abnormal data from the whole data and improve the linkage accuracy of the fire monitoring system obviously. Finally, the intelligent monitoring system of urban tunnel is implemented in four layers: system strategy control layer, information acquisition and processing layer, sensor control layer and sensor physical layer. Based on D-S evidence theory technology, the fire alarm system of urban tunnel monitoring is designed and implemented in detail.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U458

【參考文獻(xiàn)】

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本文編號：2378074