Automatic detection and diagnosis technology is an emerging technology developed with the development of computers. It refers to the technology that the computer controls the performance detection and fault diagnosis of systems, devices, and components. The technology is extremely demanding and has great difficulty. Time-consuming maintenance work can be done in minutes, seconds, or even milliseconds. This technology is widely used in equipment performance test, periodic testing in maintenance, and continuous detection during use. It can also be used for equipment fault detection and fault location. Automatic detection and diagnosis technology has been applied to the field of security and attracts more and more attention. In particular, the promotion of the construction of safe cities in recent years, large-scale urban security networking system has been widely deployed, the application of automatic detection and diagnosis technology of equipment failure is very urgent .
Automatic detection and diagnosis technology in the video surveillance system is mainly applied in the following ways.
1, image quality inspection
Judging from the types of camera failures that commonly occur today, there are many factors that affect the video quality of video surveillance systems. The following are the main points:
(1) Improper setting of the camera or aging of the device, including camera resolution, camera sensitivity to light, lens focus adjustment, color correction, etc.
(2) Video signals in large surveillance networks are transmitted over long distance cables, multi-level matrix switching, multi-level network forwarding, and various interference signals such as power supplies and controllers may cause strong interference to video signals. In addition, changes in the on-site environment, such as line aging and connector loosening, may cause video hum.
(3) A large number of PTz domes are used, and long-term motion zoom may cause some dome cameras to malfunction in directions such as an erroneous orientation and uncontrollable.
For the above-mentioned various video failures, the failure types can be divided into missing video signals, abnormal video clarity, abnormal video brightness, video noise, video snowflakes, video color cast, picture freeze, and PTz motion out of control. Among them, video signal missing, picture freeze two failures can be manually designed based on the video image comparison method to reach a conclusion; PTz motion out of control is issued by the fault detection system motion instructions, and then through the motion analysis of the video image to detect whether There are faults; for the other five kinds of faults, it is difficult to detect them manually by setting rules. This requires the machine to simulate the human visual reaction and detect whether the video is faulty.
2. Monitoring of operating status of equipment and modules
There are many devices and function modules that make up the video surveillance system, including various hardware and software products. When designing and manufacturing hardware products, the need for automatic detection and diagnosis of the equipment by the monitoring system should be taken into account. A corresponding status report interface is designed. During the operation of the equipment, the operating status can be automatically reported and the daily file generated. When developing software products, it is necessary to fully Consider the stability requirements, design and maintain the interface and protocol of remote status monitoring, automatically generate log files, and record the operation history and fault codes of the module in detail.
The video surveillance system employs a polling mode or an active reporting mode for monitoring the status of devices and modules. The polling mode is automatically initiated by the system management module, which in turn detects the operating status of related devices and modules. The active reporting mode is also called heartbeat mode. The device or module periodically sends heartbeat signals to the system management module.
3, alarm display and processing
When an abnormality occurs in a device or module of the monitoring system, an alarm must be given in time. The alarm information generally includes the device ID, error code, and the like. According to the device JD can easily find which device or which module has failed, according to the error code can specifically analyze what has happened.
Automatic detection and diagnosis technology in the video surveillance system is mainly applied in the following ways.
1, image quality inspection
Judging from the types of camera failures that commonly occur today, there are many factors that affect the video quality of video surveillance systems. The following are the main points:
(1) Improper setting of the camera or aging of the device, including camera resolution, camera sensitivity to light, lens focus adjustment, color correction, etc.
(2) Video signals in large surveillance networks are transmitted over long distance cables, multi-level matrix switching, multi-level network forwarding, and various interference signals such as power supplies and controllers may cause strong interference to video signals. In addition, changes in the on-site environment, such as line aging and connector loosening, may cause video hum.
(3) A large number of PTz domes are used, and long-term motion zoom may cause some dome cameras to malfunction in directions such as an erroneous orientation and uncontrollable.
For the above-mentioned various video failures, the failure types can be divided into missing video signals, abnormal video clarity, abnormal video brightness, video noise, video snowflakes, video color cast, picture freeze, and PTz motion out of control. Among them, video signal missing, picture freeze two failures can be manually designed based on the video image comparison method to reach a conclusion; PTz motion out of control is issued by the fault detection system motion instructions, and then through the motion analysis of the video image to detect whether There are faults; for the other five kinds of faults, it is difficult to detect them manually by setting rules. This requires the machine to simulate the human visual reaction and detect whether the video is faulty.
2. Monitoring of operating status of equipment and modules
There are many devices and function modules that make up the video surveillance system, including various hardware and software products. When designing and manufacturing hardware products, the need for automatic detection and diagnosis of the equipment by the monitoring system should be taken into account. A corresponding status report interface is designed. During the operation of the equipment, the operating status can be automatically reported and the daily file generated. When developing software products, it is necessary to fully Consider the stability requirements, design and maintain the interface and protocol of remote status monitoring, automatically generate log files, and record the operation history and fault codes of the module in detail.
The video surveillance system employs a polling mode or an active reporting mode for monitoring the status of devices and modules. The polling mode is automatically initiated by the system management module, which in turn detects the operating status of related devices and modules. The active reporting mode is also called heartbeat mode. The device or module periodically sends heartbeat signals to the system management module.
3, alarm display and processing
When an abnormality occurs in a device or module of the monitoring system, an alarm must be given in time. The alarm information generally includes the device ID, error code, and the like. According to the device JD can easily find which device or which module has failed, according to the error code can specifically analyze what has happened.
Yongzhong Wiremesh Co., Ltd. , http://www.hbwires.com