基于图像分析的团雾检测预警系统设计

发布时间：2018-04-28 15:38

本文选题：高速公路 + 团雾检测　；参考：《南京理工大学》2017年硕士论文

【摘要】：随着我国经济的长期稳定发展,高速公路的总里程不断增长。截至2015年底,我国的高速公路总里程已经突破12万公里。由于高速公路的里程的增加,高速公路上的交通事故也不断发生。其中因为团雾等气象因素而造成的交通事故也迅速增多。团雾具有发生时间短,覆盖范围小,持续时间短等特点。由于团雾制造的低能见度环境造成了社会非常大的生命财产损失,因此为了防止团雾问题而设计开发一套效果显著,成本低廉的团雾检测预警系统有着非常重要的意义。根据团雾的发生时间短,覆盖范围小等特点,本论文提出了一种基于图像分析的团雾检测预警系统。该系统在基于软件工程的设计原则下开发,由采集端和服务器端两大部分组成。在采集端,我们采用可以进行长距离发射激光的激光发射器,利用激光在雾中散射的原理,采集由长距离传输后反映团雾等级的散射后的激光斑图像。根据所得激光图像进行一系列团雾等级检测。同时,利用采集端上自带的移动通信模块,发射分析过的图像实时数据到服务器端。从而实现在服务器端上对整个高速公路的采集端的全天候的实时的团雾预警。本论文首先说明了研究高速公路上的团雾预警系统的理论和实际意义,并对目前存在的团雾检测技术进行了比较分析。其次提出本论文的基于图像分析的团雾检测预警系统方案,并对其中的基于激光的团雾检测原理,实施步骤等进行了实践分析。然后在软件工程的设计原则基础上提出了预警系统的硬件设计和软件设计,对系统所涉及到的所有模块进行了具体的说明与分析。接着针对软件设计给出了系统各个功能模块的具体软件设计。最后,进行了本论文关于团雾检测预警系统的模拟实验,给出了对整个系统进行测试的结果。
[Abstract]:With the long-term and stable development of our country's economy, the total mileage of expressway is increasing continuously. By the end of 2015, China's total highway mileage has exceeded 120000 km. Due to the increase in the mileage of the freeway, traffic accidents on the freeway also occur continuously. Traffic accidents caused by weather factors such as fog also increased rapidly. Fog has the characteristics of short time, small coverage and short duration. Because the low visibility environment made by fog has caused great loss of life and property in society, it is very important to design and develop a set of early warning system with remarkable effect and low cost in order to prevent cloud fog problem. Based on the characteristics of short time and small coverage, a cluster fog detection and early warning system based on image analysis is proposed in this paper. The system is developed under the principle of software engineering and consists of two parts: the collection end and the server side. At the acquisition end, we adopt a laser emitter which can emit a laser from a long distance. By using the principle of laser scattering in fog, we collect the scattered laser speckle images which reflect the grade of cluster fog after long distance transmission. According to the obtained laser images, a series of cloud grade detection is carried out. At the same time, the mobile communication module is used to transmit the analyzed real-time data to the server. In order to achieve on the server side of the whole freeway collection end of the real-time fog warning. In this paper, the theoretical and practical significance of the research on fog early warning system on expressway is explained, and the existing fog detection techniques are compared and analyzed. Secondly, the scheme of fog detection and early warning system based on image analysis is put forward in this paper, and the principle and implementation steps of laser based fog detection are analyzed in practice. Then, based on the design principle of software engineering, the hardware design and software design of the early warning system are put forward, and all the modules involved in the system are explained and analyzed in detail. Then the specific software design of each function module of the system is given according to the software design. Finally, the simulation experiment of the fog detection and warning system is carried out in this paper, and the results of the whole system are given.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.41;TP277

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