網(wǎng)絡(luò)視頻監(jiān)控系統(tǒng)存儲子系統(tǒng)軟件設(shè)計
[Abstract]:Video storage technology is a key technology of network video surveillance system, and it is one of the main factors to determine the overall performance and size of the system. Because the traditional video storage solution uses the file way to store the video data in the third party storage device, it often has the problems such as high cost of software and hardware, low efficiency of video recording management and insufficient performance of video storage, etc. Become the bottleneck of system development. Therefore, it is of great significance to develop video storage technology and improve video storage solutions to promote the development of video surveillance industry. This paper designs and develops the storage subsystem software of network video surveillance system. The software runs on Linux platform. Based on iSCSI protocol raid technology and Ethernet technology, a kind of storage area network is designed and developed for the network video surveillance system to realize the centralized storage of video recording, which reduces the cost of the system. By using multithreading and network programming technology, an efficient and accurate video management scheme is designed, which includes the functions of storage resource categorization, video retrieval and playback, and real-time updating of video information, which improves the system integration. A video storage scheme based on bare disk device is designed to overcome the shortcomings of low storage efficiency and poor retrieval performance of traditional file system storage schemes. According to the data storage characteristics of the monitoring system, a disk logical storage structure is designed, in which B-tree is used to manage the video segment index information, and a data cache mechanism based on image group (GOP) is designed. Compared with the traditional file system storage scheme, the video storage efficiency under the typical storage rate of 512Kbps and IMbps is increased by 43.6% and 30.3%, respectively, and the video retrieval time is reduced to 25~35ms.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TN948.6;TP333
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