| Video Surveillance System is widely used in the security protection areas as an important method because of its unique characteristics such as convenience, real-time visualization and remote control. Especially with the successive emergence of great mine accident in recent years, it is more urgent to introduce video surveillance in the security system. So it will be an inevitable trend that the video surveillance system is applied to the security system in production of the mine.The paper is the subsystem-"Video Surveillance System of Mine"which comes from the Henan's key scientific and technological project:"Research for Multimedia Comprehensive Monitoring System of Safety and production based on Coal Mine". Based on analyzing the advantage of the existing analog and digital video surveillance system, this paper designs a set of modern video surveillance system for coal mine with low cost. The system should be according to the current technology development and the character of video surveillance system in coal mine.This paper starts with analysis of monitoring way of video surveillance system and shows the system design by effectively combined advanced technology of video and network. The project is divided into video server, remote client and Web server. The video server completes video collection, MPEG-4 compression, network transmission, video recording; remote client completes video data reception, decoding, display and the console control; Web server mainly provides these services: centralize control and multi-user visit by browser, authentication for user, management for video server.The author divides system software into modules by the thinking of software design, and then details the design of the main modules and the function of the video server, client and Web server of the system. Simultaneously, an algorithm based on sender rate control for muticast was improved by research the congestion control technology for network. Then, the author proposed a bit rate-adjust network congestion control strategy based on redresses of frame and quantification preferences. This algorithm improves the reliability of the video transmission on network and smoothness of replaying in client. Finally, we take a test and performance evaluation for the algorithm and the future work of this project is described. |