当前位置:主页 > 科技论文 > 安全工程论文 >

基于无线传感器网络的危险品运输车辆监控系统设计

发布时间:2018-05-03 17:31

  本文选题:危险品运输 + 无线传感器网络 ; 参考:《长安大学》2013年硕士论文


【摘要】:危险品由于其特殊的理化性质,在复杂的运输条件下,一旦出现车辆碰撞,危化品泄露等情况,极易产生爆炸,火灾,中毒等事故。与普通交通事故相比,危险品运输交通事故的危险性更大,事故后续的持续影响力更强。由于运输设备庞大,危险品运输量大,一旦事故发生将很难迅速处理险情,一些具有危险隐患的特种车辆甚至会发生爆炸,燃烧等事故。面对如此严峻的形势,目前国内在危险品监控技术方面普及程度还不够高,很多运输企业甚至没有相关的技术监控手段,因此往往事故发生前没有及时控制险情,,事故发生后各个部门不能及时得到准确的信息,延误了抢救时机,造成了巨大的损失。 针对以上现状,本课题以实时监控危险品运输车辆状态为目标,以无线传感器网络为主要技术手段,同时结合了GPS卫星定位技术、3G网络通讯技术以及数据融合技术,开发了一套危险品车辆实时监控系统。该系统能实时监控危险品车辆各项状态,分析数据融合后的各项状态参量是否处于正常状态,最终判断车辆是否处于安全状态。该系统具有实时跟踪、监测和预警功能,在遏制事故的发生和减少危险品事故损失方面具有重要意义。
[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.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:U492.8;TP212.9;TN929.5

【引证文献】

相关期刊论文 前1条

1 江文韬;朱亚萍;杨成忠;;铁水罐车优先通行系统设计与实现[J];工业控制计算机;2016年01期

相关硕士学位论文 前3条

1 宋振文;水下结构检测与作业机器人ROV研制及声纳图像识别研究[D];江苏科技大学;2016年

2 刘志龙;危化品运输监控系统终端设计与实现[D];电子科技大学;2015年

3 眭翔;面向海洋工程水下结构检测的ROV研制及运动控制研究[D];江苏科技大学;2015年



本文编号:1839427

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/anquangongcheng/1839427.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户60bb0***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com