Video monitoring system fault self-detection and self-recovery control system and method

Abstract

The invention discloses a video monitoring system fault self-detection and self-recovery control system and a method. The system includes a device layer, an access layer, a service layer, an interface layer, and a business layer. The device layer is composed of a terminal control box, a DVR, an NVR, a network camera, an analog camera, and a matrix. The access layer implements video stream access and video stream data interaction of the device layer based on a C+ + program. The service layer is used for processing and analyzing video data streams and storing and forwarding the detection result. The business layer is used for viewing alarm information. The problem that the conventional video monitoring device cannot monitor the operation or fault state of devices, bears high maintaining and addressing workload, and can hardly judge a fault is solved. The operation or fault state of each device in the whole system can be displayed, recorded and prompted in real time. Safe and stable operation of the system is ensured, the state can be monitored, and a fault point can be judged. The workload and difficulty of system device maintenance are reduced.

Description

technical field [0001] The invention relates to the fields of video monitoring and PLC automatic control. Background technique [0002] The security industry has grown into an emerging industry in the national economic industry with a large market size, a complete range of products, a wide range of application fields, and a high level of technology, and has become an important part of the social public security system. As an important component of the front-end camera, the video surveillance front-end control box also needs to be safe, reliable, and intelligent, and its important value is self-evident. It is widely used in video surveillance systems such as safe cities, security private network systems, intelligent transportation systems (ITS), highway video surveillance systems, video surveillance communities, factories, schools and other outdoor environments. [0003] Due to the abnormal quality of the video collected by the security equipment for a long time, we divide i...

AI Technical Summary

Problems solved by technology

Second, camera interference, it is often due to human factors that cause the video surveillance screen to deviate from the normal screen, such as video signal interruption or camera occlusion, etc.

However, in practical applications, standard reference images are difficult to provide

The main reasons are as follows: 1) It is difficult to extract a clean background image

Because background modeling and other methods are difficult to obtain a clean background image, there will be certain noise interference; 2) Extracting the background image consumes a lot of computing resources

[0005] The conventional video surveillance control box is a carrier of field equipment, which mainly plays the functions of field equipment placement, power distribution, field equipment signal access, maintenance, etc.; usually monitors and controls according to the distribution of the number of cameras on the scene and the working conditions of the scene The layout and installation of the box, the control box has a built-in plug-in strip, switching power supply, switch, optical conversion equipment, etc., the camera signal and power supply are connected to the corresponding equipment in the box, and are connected to the master control center through the access switch and optical cable; but when If the system is large, there are many camera points, the installation is scattered, and the installation area is wide, there will be problems such as equipment operation, fault status cannot be monitored, maintenance and addressing work is large, and fault points are difficult to judge.

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