本文選題：危險品運輸 + 無線傳感器網(wǎng)絡��； 參考：《長安大學》2013年碩士論文

【摘要】：危險品由于其特殊的理化性質，在復雜的運輸條件下，一旦出現(xiàn)車輛碰撞，�；沸孤兜惹闆r，極易產(chǎn)生爆炸，火災，中毒等事故。與普通交通事故相比，危險品運輸交通事故的危險性更大，事故后續(xù)的持續(xù)影響力更強。由于運輸設備龐大，危險品運輸量大，一旦事故發(fā)生將很難迅速處理險情，一些具有危險隱患的特種車輛甚至會發(fā)生爆炸，燃燒等事故。面對如此嚴峻的形勢，目前國內(nèi)在危險品監(jiān)控技術方面普及程度還不夠高，很多運輸企業(yè)甚至沒有相關的技術監(jiān)控手段，因此往往事故發(fā)生前沒有及時控制險情，，事故發(fā)生后各個部門不能及時得到準確的信息，延誤了搶救時機，造成了巨大的損失。 針對以上現(xiàn)狀，本課題以實時監(jiān)控危險品運輸車輛狀態(tài)為目標，以無線傳感器網(wǎng)絡為主要技術手段，同時結合了GPS衛(wèi)星定位技術、3G網(wǎng)絡通訊技術以及數(shù)據(jù)融合技術，開發(fā)了一套危險品車輛實時監(jiān)控系統(tǒng)。該系統(tǒng)能實時監(jiān)控危險品車輛各項狀態(tài)，分析數(shù)據(jù)融合后的各項狀態(tài)參量是否處于正常狀態(tài)，最終判斷車輛是否處于安全狀態(tài)。該系統(tǒng)具有實時跟蹤、監(jiān)測和預警功能，在遏制事故的發(fā)生和減少危險品事故損失方面具有重要意義。
[Abstract]:Because of its special physical and chemical properties, dangerous goods are prone to explosion, fire, poisoning and so on. Compared with ordinary traffic accidents, dangerous goods transport traffic accidents are more dangerous, and the continuous influence of accident follow-up is stronger. Because of the huge transportation equipment and the large quantity of dangerous goods, once the accident occurs, it will be difficult to deal with the danger quickly, and some special vehicles with dangerous hidden trouble will even explode, burn and so on. In the face of such a severe situation, the prevalence of dangerous goods monitoring technology in China is not high enough at present. Many transport enterprises do not even have relevant technical monitoring means, so they often fail to control the danger in time before the accident occurs. After the accident, all departments can not get accurate information in time, which delays the rescue time and causes huge losses. In view of the above situation, this project aims at real-time monitoring the status of dangerous goods transportation vehicles, takes wireless sensor network as the main technical means, and combines GPS satellite positioning technology with 3G network communication technology and data fusion technology. A real-time monitoring system for dangerous goods vehicles is developed. The system can monitor the status of dangerous goods vehicles in real time, analyze whether the state parameters after data fusion are in normal state, and finally judge whether the vehicle is in a safe state. The system has the functions of real-time tracking, monitoring and early warning. It is of great significance in curbing the occurrence of accidents and reducing the loss of dangerous goods accidents.
【學位授予單位】：長安大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：U492.8;TP212.9;TN929.5

【引證文獻】

相關期刊論文 前1條

1 江文韜;朱亞萍;楊成忠;;鐵水罐車優(yōu)先通行系統(tǒng)設計與實現(xiàn)[J];工業(yè)控制計算機;2016年01期

相關碩士學位論文 前3條

1 宋振文;水下結構檢測與作業(yè)機器人ROV研制及聲納圖像識別研究[D];江蘇科技大學;2016年

2 劉志龍;�；愤\輸監(jiān)控系統(tǒng)終端設計與實現(xiàn)[D];電子科技大學;2015年

3 眭翔;面向海洋工程水下結構檢測的ROV研制及運動控制研究[D];江蘇科技大學;2015年

本文編號：1839427