灾害救援机器人视频监控系统的设计与实现
发布时间:2018-06-25 08:17
本文选题:视频监控 + B/S ; 参考:《东华理工大学》2014年硕士论文
【摘要】:视频监控一直是人们关注的应用技术热点之一,视频监控系统具有直观、便捷、内容丰富等特点被广泛的应用在各个领域。目前图像编解码技术和嵌入式技术以及网络技术发展突飞猛进,视频监控已经从数字视频监控进入了基于嵌入式的网络视频监控的时代,网络视频监控的技术先进性能使其具有巨大的潜在市场和可观的经济效益,本文将基于嵌入式的网络视频监控系统应用于灾害救援机器人领域。系统有两大块的的核心功能:一是视频图像采集和压缩编码,二是视频数据的传输。灾害救援机器人视频监控系统主要分为三个部分:灾害救援机器人视频监控前端、车载中心控制存储服务器和监控端。本文结构如下。首先,本文论述了灾害救援机器人的发展,分析比较了现有的网络视频监控技术,综合各种技术的优点,设计了一种基于ARM和嵌入式Linux的高可靠性B/S架构灾害救援机器人视频监控系统。系统主要实现的功能是对视频数据进行采集,压缩编码以及无线传输,并实现了通过浏览器在监控端上进行视频监控。然后对整个系统进行了详细的说明。在硬件方面,本系统的核心硬件平台包括德州仪器的TMS320DM365数字信号处理器(该处理器集成了ARM内核和DSP)、摄像头、车载中心控制存储服务器和监控端。TMS320DM365开发板与摄像头构成了灾害救援机器人视频监控系统前端,通过摄像头对视频图像进行采集,TMS320DM365开发板实现了对视频图像的压缩编码和传输,车载中心控制存储服务器实现对灾害救援机器人视频监控前端传输的图像数据的接收、存储和提供访问权限给监控端,监控端主要实现对车载中心控制存储服务器访问,播放视频画面与报警。在软件方面,在分析了各种不同的软件架构后,本系统选择了B/S架构。另外,网络传输协议定为流媒体常用的RTP,实现了视频数据在无线网络上的实时性传输,同时保证了视频传输的质量。最后对灾害救援机器人视频监控系统的安全性进行了分析,包括操作系统安全性以及在网络环境下应用时的安全对策。
[Abstract]:Video surveillance has always been one of the hotspots of application technology. Video surveillance system has been widely used in various fields, such as intuitive, convenient, rich content and so on. With the rapid development of image coding and decoding technology, embedded technology and network technology, video surveillance has moved from digital video surveillance to the era of embedded network video surveillance. The advanced performance of network video surveillance technology makes it have a huge potential market and considerable economic benefits. This paper applies the embedded network video surveillance system to the field of disaster rescue robot. The system has two core functions: one is video image acquisition and compression coding, the other is video data transmission. The video surveillance system of disaster rescue robot is mainly divided into three parts: the front end of video monitoring for disaster rescue robot, the vehicle center control storage server and the monitoring end. The structure of this paper is as follows. First of all, this paper discusses the development of disaster rescue robot, analyzes and compares the existing network video surveillance technology, synthesizes the advantages of various technologies. Based on arm and embedded Linux, a high reliability B / S architecture disaster rescue robot video surveillance system is designed. The main function of the system is to collect, compress and encode the video data and transmit it wireless, and realize the video monitoring on the monitor end through the browser. Then the whole system is described in detail. In the aspect of hardware, the core hardware platform of this system includes TMS320DM365 digital signal processor of Texas Instruments (which integrates arm kernel and DSP), camera, etc. The front-end of the video surveillance system of disaster rescue robot is constituted by the development board of on-board central control storage server and monitoring terminal .TMS320DM365 and the camera. The video image is compressed and encoded and transmitted by the video image acquisition board of TMS320DM365, which is used to collect the video image by the camera. The on-board central control storage server can receive the image data transmitted by the disaster rescue robot video surveillance front-end, store and provide access rights to the monitoring terminal, and the monitoring end mainly realizes the access to the on-board central control storage server. Play video picture and alarm. In the software aspect, after analyzing various software architectures, the system chooses the B / S architecture. In addition, the network transmission protocol is defined as the RTP commonly used in streaming media, which realizes the real-time transmission of video data on wireless network, and ensures the quality of video transmission at the same time. Finally, the security of the video surveillance system of the disaster rescue robot is analyzed, including the security of the operating system and the security countermeasures when it is applied in the network environment.
【学位授予单位】:东华理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN948.6;TP242
【参考文献】
相关期刊论文 前1条
1 李晓光;吉荣廷;张立峰;;基于嵌入式Linux和ARM9的视频采集系统[J];电子测量技术;2009年02期
,本文编号:2065274
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