The original intention of the construction of the monitoring system is to “see the truthâ€, but in terms of the various analog and digital monitoring systems currently seen, it does not achieve the “real-view†in the true sense. In other words, even if the real-time or storage implementation is different, the large-scale monitoring system still does not jump out of the "real-time + storage" monitoring standardization model.
Intelligent information linkage
The source of information for the surveillance system is image information, and the source of information for other security systems (such as access control, fire alarm, etc.) is sensor information. In most current large-scale security system constructions, most of them can achieve linkage between the two information, and generally it is After the sensor generates alarm information, it provides linkage to the monitoring system, and then switches the corresponding image information to the display device (as shown in Figure 1). The above solution can be illustrated by an image metaphor: the monitoring system is the human eye, the alarm system is the human hand, and when the hand feels something is wrong, the head automatically turns to see. However, the head turns automatically and it is only conditional reflection. The results seen must be analyzed by the brain. In other words, this solution is not yet complete. It lacks an intelligent analysis part.
The process of optimizing linkage analysis should be that the sensor generates alarm information and then provides linkage to the monitoring system to switch the corresponding image information to the linkage analysis system. The linkage analysis system intelligently analyzes the image information and alarm information to eliminate false alarm information. The false alarm information is reported by the monitoring system to the alarm system to turn off the false alarm signal.
In this scheme, this linkage information relies on intelligent image analysis technology. The intelligent analysis system currently includes target behavior analysis and feature analysis. Taking the smoke detectors that often cause false alarms as an example, when an alarm occurs in the smoke detector, the alarm signal is sent to the intelligent digital video system through a dry contact or other means, and the image content of the single or multiple camera images surrounding the smoke sense is simultaneously performed. Analysis, when the analysis result is judged as smoke, send feedback information to the alarm system to raise the alarm level, prompt the management personnel to pay attention to the problem, and when the analysis result determines that the image is normal, send feedback information to the alarm system, the prompt is false alarm, You can choose to close the alarm or lower the alarm level to manually close the alarm (Figure 2).
Intelligent operation and maintenance management system
Due to the large number of large-scale monitoring systems, management and maintenance personnel can easily have a correct grasp of the operating status of the system. It is increasingly difficult for the system operation and management to understand and master the health status of the overall system operation, and many problems are often found in applications. ,E.g:
Some camera has no image;
• Camera monitoring image shifts;
The camera's image is not clear;
Video recording of the camera is not recorded;
· The device network is disconnected and so on.
The existing large-scale CCTV system basically relies on manpower to find defects in video quality, and checks whether the stored video is normal. The technicians actively test the underlying network communication status to determine whether the video transmission network is normal or whether there is a bottleneck. This mode There are many deficiencies:
· People's visual experience found video quality problems, there are many uncertainties;
· When the number of cameras reaches hundreds of thousands of units, manpower basically has no feasibility;
Manpower to find out if the stored video is normal, very difficult;
·Manpower way to check the system running status, unable to realize the overall system's overall inspection and daily inspection;
· lack of professional quantitative analysis report;
• It is impossible to provide overall operating status in real time.
In short, there is a very big omission in the existing CCTV system: the lack of powerful system tools to check whether the overall CCTV is in normal operation.
This paper proposes an intelligent diagnostic analysis system, which is used to complete most of the monitoring system's later operation and maintenance work, and the system is not for a single model or a single brand, it can be compatible with the current market monitoring system of 90% or higher - Video quality intelligent diagnostic analysis system.
IDAS collects video, network equipment related data, tests related signals, and analyzes the quality of video through a running video surveillance network to timely and comprehensively understand the operation of the video network and quickly and effectively diagnose the huge video network monitoring system. The management system of the objective assessment of the health of the system operation, to achieve a comprehensive management of the system.
The main problems to solve are as follows:
·Discover all kinds of equipment failures in CCTV systems in a timely manner;
· Forecast and prompt potential failures;
· Provides overall system real-time running status report;
Remote inspection and diagnosis.
This solution contains a variety of application technologies (as shown in Figure 3), with some system significance:
· It is a system tool to check the overall operating health of CCTV systems;
·Provide professional system operating status report, which is data support for system maintenance planning;
· Filled in the gap in the self-checking of CCTV system operation status.
The system consists of three major components: detectors, supervisory servers, and operation and display terminals.
detector
The detector collects service data and service status of video, video, and other equipment in the area through real-time intelligent analysis of dynamic image frames, thereby discovering system problems and diagnosing system operating conditions.
The work of the detector is not dependent on the specific equipment. The working process of the detector can be configured flexibly, so that all system equipments can be checked in turn from the perspective of video applications.
The main business module:
·Real-time video service analysis module;
· Video and video service analysis module;
Video equipment business status management module;
· Recording equipment business status management module;
Network transmission quality analysis module (network equipment operating status / network transmission jitter);
The diagnosis result management module, the detector should store the diagnosis result, and upload it to the supervisory server in real time; if the supervisory server is not available, the supervisory server is regularly checked; when the supervisory server is available, the diagnosis result is re-uploaded;
The historical diagnosis result query module provides query of the historical diagnosis result of the detector, which can be performed according to conditions such as a camera, a coding device, an alarm time, and an alarm type (Fig. 4 is a typical video quality intelligent diagnosis and analysis system interface).
Typical video quality intelligent diagnostic analysis system interface
The supervisory server summarizes the detection results of each detector to provide effective data for the overall assessment and diagnosis of the monitoring system. Distribute the probe's diagnostic information to the operator display terminal. The automatic mail notification system can perform statistics according to days, weeks, and months, and send the statistical results to relevant responsible persons.
·Acquire data from the detector and save it to a local database for processing and analysis. Manually refresh or force refresh the video network data.
· Equipment information management, including management of cameras, encoding equipment, decoding equipment, recording equipment, and detectors;
·Probe planning management, setting which devices the detector detects, which features to detect and at what time;
·Diagnosis result management, receive the diagnosis result of the detector, and store the diagnosis result into the database according to the day;
Real-time diagnosis results distribution, distribution of the diagnosis results to the specified client;
· Historical diagnosis results query function, you can query all the historical diagnostic results of all detectors, you can query based on detectors, cameras, coding equipment, alarm time, alarm type and other conditions;
·User Management;
·System log management;
Support multiple databases, through configuration to achieve access to different databases.
The operation display terminal manages the equipment of the entire network and displays real-time diagnosis information to the user, real-time alarm display, history diagnosis information, and the like.
· Camera management;
· Configuration related parameters;
· Configure the basic parameters of the detector;
· Configure the detector's detection plan;
· Configure the supervision server's distribution plan;
· Multi-user and rights management;
Real-time display of diagnostic results;
·Repair Order;
· Alarm shielding;
· Statistical reports (Figure 5); · Report export and printing;
Statistical report diagram
· System log query.
Through this system, in the application of the stadium, the following functions can be achieved:
· Video detection of front-end equipment;
Loss of video and black frames
Automatic iris failure
Automatic/manual focus failure
Colorless
· Scene changes;
· Video distortion;
Image interference;
Image color cast;
· State detection of video equipment;
Codec equipment;
·IPCamera;
·DVR/NVR;
·Network equipment;
D1 detects network devices;
·Network equipment operating status;
· Loss of transmission network;
· Network transmission jitter;
· Detection of video equipment;
Video quality detection (image loss or low quality);
Storage space detection (critical/insufficient storage capacity);
Video recording detection;
Automatic inspection.
For operation and maintenance managers, the system can also provide professional analysis reports.
Through the operation of the detector, various types of system test data are generated, and the overall system operation status report can be provided in real time, so that the system administrator can understand the formal operation of the CCTV system in real time and grasp that an operation failure has occurred or will occur. The equipment and links provide the system administrators with detailed data report support so that they can have a basis for system maintenance forecasting and planning.
· The operating status of the equipment;
·The quality of the video;
The quality of the video;
·Network transmission quality;
· The overall health of the video system;
· Maintenance advice and modification/expansion suggestions.
This system can be deployed centrally in a CCTV system network, and can also be deployed in a distributed manner (mainly a detector).
Distributed deployment can deploy the probes in multiple different network segments. The advantage is that it can reduce the bandwidth pressure of video traffic across network segments.
This system can configure the number of video streams detected concurrently at an interval of convenient configuration detection. This can be flexibly configured according to the total number of video streams in the CCTV system and the bandwidth that the network can bear, combined with the user's check interval requirements. , so as to achieve the timing of the detection of all CCTV system video streams.
Conclusion
As a network digital video surveillance system that is rapidly developing on the basis of an IP network, its subclasses inherit the relevant features of the parent class, making it extremely promising for development. The article reviews and uses the development history of the IP network. From this, it can be foreseen that the scientific and intelligent video network management will eventually become “self-contained†and become a complete solution. At the same time, major manufacturers will also work towards the standardization of the industry. I hope that this article can “bring the limelight†and let the industry work can really develop into the top application of rich video systems, and promote the rapid and healthy development of the digital video industry.
Intelligent information linkage
The source of information for the surveillance system is image information, and the source of information for other security systems (such as access control, fire alarm, etc.) is sensor information. In most current large-scale security system constructions, most of them can achieve linkage between the two information, and generally it is After the sensor generates alarm information, it provides linkage to the monitoring system, and then switches the corresponding image information to the display device (as shown in Figure 1). The above solution can be illustrated by an image metaphor: the monitoring system is the human eye, the alarm system is the human hand, and when the hand feels something is wrong, the head automatically turns to see. However, the head turns automatically and it is only conditional reflection. The results seen must be analyzed by the brain. In other words, this solution is not yet complete. It lacks an intelligent analysis part.
In this scheme, this linkage information relies on intelligent image analysis technology. The intelligent analysis system currently includes target behavior analysis and feature analysis. Taking the smoke detectors that often cause false alarms as an example, when an alarm occurs in the smoke detector, the alarm signal is sent to the intelligent digital video system through a dry contact or other means, and the image content of the single or multiple camera images surrounding the smoke sense is simultaneously performed. Analysis, when the analysis result is judged as smoke, send feedback information to the alarm system to raise the alarm level, prompt the management personnel to pay attention to the problem, and when the analysis result determines that the image is normal, send feedback information to the alarm system, the prompt is false alarm, You can choose to close the alarm or lower the alarm level to manually close the alarm (Figure 2).
Intelligent operation and maintenance management system
Due to the large number of large-scale monitoring systems, management and maintenance personnel can easily have a correct grasp of the operating status of the system. It is increasingly difficult for the system operation and management to understand and master the health status of the overall system operation, and many problems are often found in applications. ,E.g:
Some camera has no image;
• Camera monitoring image shifts;
The camera's image is not clear;
Video recording of the camera is not recorded;
· The device network is disconnected and so on.
The existing large-scale CCTV system basically relies on manpower to find defects in video quality, and checks whether the stored video is normal. The technicians actively test the underlying network communication status to determine whether the video transmission network is normal or whether there is a bottleneck. This mode There are many deficiencies:
· People's visual experience found video quality problems, there are many uncertainties;
· When the number of cameras reaches hundreds of thousands of units, manpower basically has no feasibility;
Manpower to find out if the stored video is normal, very difficult;
·Manpower way to check the system running status, unable to realize the overall system's overall inspection and daily inspection;
· lack of professional quantitative analysis report;
• It is impossible to provide overall operating status in real time.
In short, there is a very big omission in the existing CCTV system: the lack of powerful system tools to check whether the overall CCTV is in normal operation.
This paper proposes an intelligent diagnostic analysis system, which is used to complete most of the monitoring system's later operation and maintenance work, and the system is not for a single model or a single brand, it can be compatible with the current market monitoring system of 90% or higher - Video quality intelligent diagnostic analysis system.
IDAS collects video, network equipment related data, tests related signals, and analyzes the quality of video through a running video surveillance network to timely and comprehensively understand the operation of the video network and quickly and effectively diagnose the huge video network monitoring system. The management system of the objective assessment of the health of the system operation, to achieve a comprehensive management of the system.
The main problems to solve are as follows:
·Discover all kinds of equipment failures in CCTV systems in a timely manner;
· Forecast and prompt potential failures;
· Provides overall system real-time running status report;
Remote inspection and diagnosis.
This solution contains a variety of application technologies (as shown in Figure 3), with some system significance:
·Provide professional system operating status report, which is data support for system maintenance planning;
· Filled in the gap in the self-checking of CCTV system operation status.
The system consists of three major components: detectors, supervisory servers, and operation and display terminals.
detector
The detector collects service data and service status of video, video, and other equipment in the area through real-time intelligent analysis of dynamic image frames, thereby discovering system problems and diagnosing system operating conditions.
The work of the detector is not dependent on the specific equipment. The working process of the detector can be configured flexibly, so that all system equipments can be checked in turn from the perspective of video applications.
The main business module:
·Real-time video service analysis module;
· Video and video service analysis module;
Video equipment business status management module;
· Recording equipment business status management module;
Network transmission quality analysis module (network equipment operating status / network transmission jitter);
The diagnosis result management module, the detector should store the diagnosis result, and upload it to the supervisory server in real time; if the supervisory server is not available, the supervisory server is regularly checked; when the supervisory server is available, the diagnosis result is re-uploaded;
Typical video quality intelligent diagnostic analysis system interface
The supervisory server summarizes the detection results of each detector to provide effective data for the overall assessment and diagnosis of the monitoring system. Distribute the probe's diagnostic information to the operator display terminal. The automatic mail notification system can perform statistics according to days, weeks, and months, and send the statistical results to relevant responsible persons.
·Acquire data from the detector and save it to a local database for processing and analysis. Manually refresh or force refresh the video network data.
· Equipment information management, including management of cameras, encoding equipment, decoding equipment, recording equipment, and detectors;
·Probe planning management, setting which devices the detector detects, which features to detect and at what time;
·Diagnosis result management, receive the diagnosis result of the detector, and store the diagnosis result into the database according to the day;
Real-time diagnosis results distribution, distribution of the diagnosis results to the specified client;
· Historical diagnosis results query function, you can query all the historical diagnostic results of all detectors, you can query based on detectors, cameras, coding equipment, alarm time, alarm type and other conditions;
·User Management;
·System log management;
Support multiple databases, through configuration to achieve access to different databases.
The operation display terminal manages the equipment of the entire network and displays real-time diagnosis information to the user, real-time alarm display, history diagnosis information, and the like.
· Camera management;
· Configuration related parameters;
· Configure the basic parameters of the detector;
· Configure the detector's detection plan;
· Configure the supervision server's distribution plan;
· Multi-user and rights management;
Real-time display of diagnostic results;
·Repair Order;
· Alarm shielding;
· Statistical reports (Figure 5); · Report export and printing;
Statistical report diagram
· System log query.
Through this system, in the application of the stadium, the following functions can be achieved:
· Video detection of front-end equipment;
Loss of video and black frames
Automatic iris failure
Automatic/manual focus failure
Colorless
· Scene changes;
· Video distortion;
Image interference;
Image color cast;
· State detection of video equipment;
Codec equipment;
·IPCamera;
·DVR/NVR;
·Network equipment;
D1 detects network devices;
·Network equipment operating status;
· Loss of transmission network;
· Network transmission jitter;
· Detection of video equipment;
Video quality detection (image loss or low quality);
Storage space detection (critical/insufficient storage capacity);
Video recording detection;
Automatic inspection.
For operation and maintenance managers, the system can also provide professional analysis reports.
Through the operation of the detector, various types of system test data are generated, and the overall system operation status report can be provided in real time, so that the system administrator can understand the formal operation of the CCTV system in real time and grasp that an operation failure has occurred or will occur. The equipment and links provide the system administrators with detailed data report support so that they can have a basis for system maintenance forecasting and planning.
· The operating status of the equipment;
·The quality of the video;
The quality of the video;
·Network transmission quality;
· The overall health of the video system;
· Maintenance advice and modification/expansion suggestions.
This system can be deployed centrally in a CCTV system network, and can also be deployed in a distributed manner (mainly a detector).
Distributed deployment can deploy the probes in multiple different network segments. The advantage is that it can reduce the bandwidth pressure of video traffic across network segments.
This system can configure the number of video streams detected concurrently at an interval of convenient configuration detection. This can be flexibly configured according to the total number of video streams in the CCTV system and the bandwidth that the network can bear, combined with the user's check interval requirements. , so as to achieve the timing of the detection of all CCTV system video streams.
Conclusion
As a network digital video surveillance system that is rapidly developing on the basis of an IP network, its subclasses inherit the relevant features of the parent class, making it extremely promising for development. The article reviews and uses the development history of the IP network. From this, it can be foreseen that the scientific and intelligent video network management will eventually become “self-contained†and become a complete solution. At the same time, major manufacturers will also work towards the standardization of the industry. I hope that this article can “bring the limelight†and let the industry work can really develop into the top application of rich video systems, and promote the rapid and healthy development of the digital video industry.
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