CN103731643A - Video surveillance network quality inspection method and system - Google Patents
Video surveillance network quality inspection method and system Download PDFInfo
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Abstract
The invention discloses a video surveillance network quality inspection method and a system and belongs to the technical field of network videos. The method comprises the following steps of monitoring work status of a device in a video surveillance network; monitoring and inspecting video image quality; performing statistics on detection results and alarming information of the video surveillance network device and the video image quality, displaying alarm information to users automatically, and providing service including browse, inquiry and the like. The invention further provides the system applying the method. The system manages and monitors large video networks in a concentrated mode, automatically analyzes and evaluates video quality of a front camera in the video surveillance network and operation status of the network device, timely finds out failure of the camera and the network device, and greatly improves safety and flexibility of the video surveillance network and accuracy and real-time performance of video and network failure detection.
Description
Technical field
The present invention relates to network video technique field, the technology that particularly video monitoring network management and video image quality detect.
Background technology
Along with social development, improving constantly of public security consciousness, video monitoring because it is directly perceived, accurately, in time and the feature such as abundant information, be widely used in the security monitoring of significant points and place in the every field such as government, education, traffic, finance, in public security protection work, bringing into play increasing irreplaceable effect.
In recent years, along with the continuous expansion of video monitoring system scale, deepening continuously of application, the integration demand of system is day by day strong, public security organs at different levels constantly promote the demand of remote image resource-sharing, and the operation management after video monitoring system networking is a great problem of puzzlement public security departments at different levels always.On military key area, traffic main artery, so the place such as market, bank, all require supervisory control system can keep good running status, guarantee the clear normal of monitored picture, once go wrong, very likely cause irremediable heavy losses, even jeopardize national defense safety.
The scale of video monitoring system is constantly extended, video monitoring environment constantly changes, equipment supplier is more and more, the capital equipment of video monitoring system comprises video camera, DVR, switch, router, server etc., the difficulty of numerous equipment of maintenance and management video monitoring system significantly increases thereupon, and user is also more and more higher to the demand of network management platform in unified video set.
Along with the continuous expansion of video surveillance network scale, the quantity of control point and camera is also sharply increasing, and the network equipment and camera failure rate are also significantly improving.Find in time and investigation network equipment failure and fault of camera, become the problem of needing solution badly.Trouble shooting is manually carried out in traditional dependence, and not only workload is large, and efficiency is low, and maintenance cost is high, and speed is slow, can not meet the requirement of real-time monitoring, has increased public safe risk.Therefore,, in the face of the common monitoring facility of fast development, traditional personal monitoring's mode cannot meet the public to quality of service requirement.
By the automatic detecting to video surveillance network, can to the camera in network, carry out walkaround inspection quickly, video quality evaluation technology can reduce O&M cost greatly, finds in time the fault point of CCTV camera, distinguishes the type of fault.But the existing video quality diagnostic control system that is applied to video surveillance network at present, only for front end camera, carry out fault detect, and the transmission equipment in monitor network is not carried out to state-detection and management, cannot detect rapidly in time the equipment fault in investigation video surveillance network.
Summary of the invention
For the problem existing in above-mentioned existing video monitoring system technology, the object of the present invention is to provide a kind of image processing of using, pattern recognition and network management scheme, for centralized management and the monitoring of large-scale distributed multistage video network, the content of the running status of the network equipment and front end video in automatic processing analysis video surveillance network, monitoring, diagnosing network equipment failure and video fault, thereby it is little to solve existing video diagnostic system range of application, insufficiency, lack problems such as network equipment status monitorings, realize a kind of range of application comparatively extensive, multiple functional, the video surveillance network quality of the parallel monitoring network equipment and video quality is patrolled and examined scheme.
In order to achieve the above object, the present invention adopts following technical scheme:
A kind of video surveillance network quality method for inspecting, the method is according to operating state and the monitoring video image quality of equipment in patrol task parallel monitoring video surveillance network, and statistics and show the result of patrolling and examining monitoring.
In an example of method for inspecting, in described method for inspecting, monitor the operating state of equipment in video surveillance network and specifically comprise the steps:
(11) according to network equipment patrol task generating network equipment routing inspection parameter;
(12) according to network equipment patrol task, obtain the topology information of video surveillance network;
(13) according to the network equipment obtaining, patrol and examine parameter and network topology structure information, the operating state of each equipment in monitoring video surveillance network, generating video monitor network equipment Inspection report, produces monitor network equipment alarm information.
Further, the middle operating state that detects video surveillance network equipment of described step (13) comprises port information, port service condition, port utilization, port flow and the state etc. of equipment.
In another example of method for inspecting, in described method for inspecting, monitoring video image quality specifically comprises the steps:
(21) according to video quality patrol task generating video picture quality, patrol and examine parameter;
(22) according to video quality patrol task, generate the video source list that needs monitoring, and from video surveillance network, obtain each video source video image information according to video source list;
(23) according to video image quality, patrol and examine parameter and select corresponding video image quality evaluation method to assess each video source image information, produce video image quality examining report and video image quality warning message.
Further, in described step (23), the method for video image quality evaluation comprises signal loss detection method, brightness method for detecting abnormality, signal-freeze detection method, color cast detection method, noise jamming detection method, definition detection method, camera interference detection method and PTZ method for testing motion.
Video surveillance network quality method for inspecting based on above-mentioned, the present invention also provides a kind of video surveillance network quality cruising inspection system of realizing this method for inspecting, and this cruising inspection system comprises:
Video surveillance network, for centralized management and the monitoring of large-scale distributed multistage video network;
Management server, described management server joins with network monitoring service device and polling server data, produces corresponding patrol task and patrols and examines parameter, and be sent to network monitoring service device and polling server for setting according to user;
Database server, described database server joins with network monitoring service device and arithmetic server data, for store video monitor network topology information and system, patrols and examines report;
Network monitoring service device, described network monitoring service device and video surveillance network data are joined, be used for the network equipment patrol task sending according to management server and patrol and examine parameter, each equipment in video surveillance network is carried out to status monitoring, and the generation network equipment is patrolled and examined and is reported and send to management server and database server;
Streaming media server, described streaming media server joins with video surveillance network and polling server data respectively, for obtaining video image information from video surveillance network and being sent to polling server;
Polling server, described polling server and arithmetic server data are joined, for producing the video quality patrol task sending according to management server and patrolling and examining parameter, by poll successively, corresponding video image information is sent to arithmetic server successively, calls polling server and carry out video image quality Detection task;
Arithmetic server, described arithmetic server joins with management server and database server data respectively, for adopting corresponding video image quality evaluation detecting unit to carry out quality evaluation to each video image information according to calling of polling server, generation video quality is patrolled and examined report and is sent to management server and database server.
In an embodiment of cruising inspection system scheme, described streaming media server comprises:
VAM Video Access Module, for obtaining the video information of each video source from described video surveillance network;
Video image handling module, described video image handling module and VAM Video Access Module data are joined, and for capturing according to the polling requirement of polling server the corresponding video image information that VAM Video Access Module obtains, and are sent to described polling server.
Further, described streaming media server also comprises cache module, and the output of VAM Video Access Module connects the input of described cache module, and the output of cache module connects the input of described video image handling module.
In another embodiment of cruising inspection system scheme, described arithmetic server comprises the signal loss detection unit, brightness abnormality detection unit, signal-freeze detecting unit, color cast detection unit, noise jamming detecting unit, definition detecting unit, camera Interference Detection unit and the PTZ motion detection unit that are linked in sequence, and the input of each detecting unit all connects the output of described polling server, its output all connects the input of described database server and the input of management server.
Further, described noise jamming detecting unit comprises the Gauss and salt-pepper noise detection sub-unit, fringes noise detection sub-unit and the strong electromagnetic noise measuring subelement that are linked in sequence.
Further, described definition detecting unit comprises the low contrast detection sub-unit being linked in sequence and focuses on inaccurate detection sub-unit.
Further, described camera Interference Detection unit comprises occlusion detection subelement, the shaking detection subelement being linked in sequence and rotates detection sub-unit.
Method and system of the present invention are used image processing, pattern recognition and network management technology, for centralized management and the monitoring of large-scale distributed multistage video network, the content of the running status of the network equipment and front end video in automatic processing analysis video surveillance network, monitoring, diagnosing network equipment failure and video fault, thus solve that existing video diagnostic system range of application is little, insufficiency, lack problems such as network equipment status monitorings.
Moreover, its range of application of scheme provided by the invention is comparatively extensive, multiple functional, its method providing is by the parallel monitoring network equipment and video quality, add up again testing result and the warning message of video surveillance network equipment and video image quality, from trend user display alarm information, and provide browse, the service such as inquiry.The system providing can be managed concentratedly and monitoring large-scale video network, the video quality of front end camera and the running status of the network equipment in energy automatic analysis and assessment video surveillance network, find in time camera fault and network equipment failure, significantly improved accuracy and the real-time of fail safe, flexibility and video and the Network Fault Detection of video surveillance network.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, further illustrate the present invention.
Fig. 1 is the flow chart of steps that realizes the method that video surveillance network quality patrols and examines of the present invention;
Fig. 2 is the principle schematic that video surveillance network quality of the present invention is patrolled and examined method, system;
Fig. 3 is the structural representation of the streaming media server in system of the present invention;
The schematic diagram of each detecting unit that Fig. 4 has for the arithmetic server in system of the present invention.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach object and effect is easy to understand, below in conjunction with concrete diagram, further set forth the present invention.
Referring to Fig. 1, it is depicted as the flow chart of steps that realizes video surveillance network quality method for inspecting in the present invention.As seen from the figure, whole patrolling and examining is divided into three large steps:
The 1st step, video surveillance network monitoring of equipment.
This step, for realizing (1) according to user's requirement, is monitored the operating state of equipment in video surveillance network, and it is specifically realized by following operating procedure:
The network equipment patrol task that step (11) is set according to user generates monitoring time interval, patrols and examines the network equipments such as scope and patrol and examine parameter.User can be according to the real needs of oneself, carry out the parameters such as the scope of setting network equipment routing inspection and frequency, and in general, the frequency of the regional patrol that safety requirements is higher is also higher, to guarantee the normal operation of video monitoring equipment.
Step (12) is patrolled and examined the scope of patrolling and examining in parameter according to the network equipment arranging in step (11), obtains topology information corresponding to video surveillance network in scope.Wherein the topology information of video surveillance network is stored in database conventionally.
Step (13) is patrolled and examined the network topology structure information obtaining in parameter and step (12) according to the network equipment of setting generation according to user in step (11), operating state to the equipment in video surveillance network is monitored, and the report of generating video monitor network monitoring of equipment, produce corresponding monitor network equipment alarm information simultaneously.
In general, the equipment in video surveillance network comprises router, switch, DVR, video camera etc., and the operating state of equipment comprises port information, port service condition, port utilization, port flow and the state etc. of equipment.
For example, when the port flow of certain router is abnormal, produce warning message reminding user, user can be pinpointed the problems in time, contribute to user's fast processing problem, reduce the loss that fault causes.
Thus, when the operating state of the equipment in video surveillance network is monitored, first according to the network topology structure information obtaining in step (12), structure topological structure relation table, IP address and the link slogan of convenient inquiry positioning equipment.Based on Simple Network Management Protocol (SNMP) and ARP(Address Resolution Protocol), automatically find real-time change and the connection of the information such as the IP address, MAC Address, first line of a couplet device port of the equipment such as all-router, switch, DVR and the video camera of access network and each equipment, and the network topology structure information in real-time update database and topological structure relation table.
The load condition of equipment and the flow situation of network line such as switch, router in monitoring video surveillance network, by detecting the real-time bandwidth of each switch, router port, can calculate bandwidth availability ratio, make comparisons with historical flow simultaneously, the port that exceeds threshold value is carried out to port flow abnormal alarm, help user's quick positioning question node.
By timing to equipment sending data bags such as the router in video surveillance network, switch, DVR and video cameras, judge the operating state of each equipment and the connectedness of performance and network line according to the response time of equipment and reply situation, thereby detect in time the fault of the network equipment, simultaneously according to IP address and port numbers location faulty equipment and to User Alarms.
After finding that a certain section of network line or equipment go wrong, user can close the port of this section of network equipment to isolate fast this network of problem.
The 2nd step, the monitoring of monitor video picture quality.
This step and the 1st step are parallel carries out, and it,, for realizing according to user's requirement, monitors the quality of monitor video image in video surveillance network, specifically by following operating procedure, realizes:
Step (21), same step (11) is identical, and the video quality patrol task of setting according to user generates the corresponding time interval of patrolling and examining, patrol and examine scope, need the video image quality such as video image evaluating of assessment to patrol and examine parameter.
This video image quality is patrolled and examined parameter, can be identical with the equipment routing inspection task parameters in step (11), and also can be different.User can be according to the actual demand of oneself, sets scope and frequency that video quality is patrolled and examined, and in general, the frequency of the regional patrol that safety requirements is higher is also higher, to guarantee that monitor video can see clearly.
In addition, user also can select to need the video image evaluating of assessment according to the actual requirements, and such as dropout, brightness are abnormal, signal-freeze, colour cast, noise jamming, definition, camera disturb, PTZ motion etc.
Step (22), according to the parameter of the patrol task in step (21), generates the video source list that needs monitoring, and according to this list, obtains corresponding video source video image information from video surveillance network.
Step (23) is patrolled and examined parameter (as the time interval, patrol and examine scope, need the video image evaluating of assessment) according to video image quality and is selected corresponding video image quality evaluation method to assess each video source image information, produces video image quality examining report and video image quality warning message.
In this step, for the video image evaluating of different need assessments, adopt different evaluation methods, its concrete corresponding method is as follows:
Dropout can be judged by the mean square deviation of the each pixel color gray value of computed image;
Brightness can or judge by grey level histogram by the brightness of computed image, contrast extremely;
Signal-freeze can be judged by the mean square error of sequence of calculation image or neighbor frame difference method;
The main method of color cast detection is included in method that CLELab color space calculates the colour cast factor, statistics with histogram method, gray balance method, white balance method etc.;
The method that noise jamming detects comprises calculates gray level co-occurrence matrixes contrast, some acutance method and spectrogram analytic approach etc.;
The method that definition detects comprises the methods such as a square gradient autofocus evaluation function, entropy function, TenenGrad autofocus evaluation function, Vollath autofocus evaluation function, frequency spectrum function;
The method of camera Interference Detection comprises feature point detection method, histogram analysis method etc.;
The method of PTZ motion detection comprises the methods such as frame difference method, optical flow method, Feature Points Matching.
Cited method is comparatively ripe video quality detection method above, has operability.
The 3rd step, testing result and the warning message of statistics video surveillance network equipment and video image quality, unified from trend user display alarm information, and provide browse, the service such as inquiry.
Referring to Fig. 2, it is depicted as the principle schematic of the video surveillance network quality cruising inspection system for implementing above-mentioned video surveillance network quality method for inspecting.
In order to realize above-mentioned video surveillance network quality method for inspecting, this cruising inspection system mainly comprises video monitoring service platform 100 and video surveillance network 200, wherein video monitoring service platform 100 is connected with video surveillance network 200, the operating state of equipment and the quality of video in Concurrent monitor video surveillance network 200.
Video surveillance network 200 is for centralized management and the monitoring of large-scale distributed multistage video network, equipment wherein comprises router, switch, DVR, video camera etc., and the operating state of equipment comprises port information, port service condition, port utilization, port flow and the state etc. of equipment.
This video monitoring service platform 100 comprises management server 110, database server 120, network monitoring service device 130, streaming media server 140, polling server 150 and arithmetic server 160.
Wherein, management server 110 joins with polling server 150, arithmetic server 160 and network monitoring service device 130 data respectively.It is accepted user and sets the system patrol task and the parameter that require generation corresponding, and is sent to network monitoring service device and polling server; Accept and statistic algorithm server 160 and network monitoring service device 130 return to transmission patrols and examines report, warning message, and from trend user display alarm information simultaneously, and provide browse, the service such as inquiry.
Database server 120 carries out data with arithmetic server 160 and network monitoring service device 130 respectively and joins, and for store video monitor network topology information and system, patrols and examines report.
Network monitoring service device 130, it accesses video surveillance network 200, carry out exchanges data with it, the network equipment patrol task and the parameter that according to management server 110, generate and send, obtain video surveillance network in patrol task and parameter area corresponding open up benefit structural information, and opening up of this video surveillance network mended to structural information be stored in database server 120; According to opening up benefit structural information, patrol task and parameter, the equipment in video surveillance network 200 is carried out to status monitoring, the generation network equipment patrols and examines report and corresponding warning message sends in management server 110 and database server 120 simultaneously.
Streaming media server 140, its access video surveillance network 200 is also guarded against with polling server 150 Data Stars.For obtaining video source image information and be sent to polling server 150 from video surveillance network 200.
Polling server 150, it accepts video quality patrol task and parameter that management server 110 sends, and generates corresponding video source list according to video quality patrol task.Polling server 150 is poll video source list successively, according to video source list, obtains successively corresponding video source image from streaming media server 140, and this video source image is sent to arithmetic server 160.
Arithmetic server 160 joins with polling server 150 data; its be subject to polling server 150 call according to video image quality patrol and examine parameter (as the time interval, patrol and examine scope, need assessment video image evaluating) select the video source image that corresponding video image quality evaluation detecting unit transmits polling server 150 to carry out quality evaluation; produce video quality and patrol and examine protection and corresponding video quality warning message, and be sent to management server 110 and database server 120.
Native system is when specific implementation, and it also comprises router and switch, and the output of switch connects the input of described management server, database server, network monitoring service device, streaming media server, polling server and arithmetic server; And the input of router connects the output of video surveillance network.
By switch, realize management server, database server, network monitoring service device, streaming media server, polling server and arithmetic server are coupled together and form a local area network (LAN) like this, realize the fast transport of data between each server, and can carry out the full-duplex communication between multiple port set at synchronization; And by router, the video surveillance network and the quality monitoring service platform that belong to different segment are coupled together, realize the communication between video surveillance network and quality monitoring service system, and find the most suitable path of data transmission in network.
For the quality monitoring service platform 100 in system, its both can be deployed on single machine also can distributed deployment on many different machines, support the concurrent execution of task simultaneously.
Same, management server 110 supports Multi-task Concurrency to carry out, and can send multiple tasks and parameter simultaneously, supports automatically performing of patrol task.
For the streaming media server 140 in system, obtaining of main responsible Internet video data, consider network delay and capture the image time, video access task is by concurrent execution, play the effect of video source buffering, the video that success accesses is put into video cache district successively, for capturing image information, prepares.
For this reason, streaming media server 140 can adopt structure as shown in Figure 3.This streaming media server 140 mainly comprises VAM Video Access Module 141 and 143 liang of modules of video image handling module, and VAM Video Access Module 141 obtains the video information of each video source for the video surveillance network 200 from described; Video image handling module 143, for capturing video image information, and is sent to described polling server 150;
Access cache module 142 between VAM Video Access Module 141 and video image handling module 143 as required, the output of VAM Video Access Module 141 is connected to the input of cache module 142 simultaneously, and the output of cache module 142 is connected to the input of video image handling module 143.
For the arithmetic server 160 in system, as shown in Figure 4, it mainly comprises signal loss detection unit 161, brightness abnormality detection unit 162, signal-freeze detecting unit 163, color cast detection unit 164, noise jamming detecting unit 165, definition detecting unit 166, camera Interference Detection unit 167 and PTZ motion detection unit 168.The input of the each detecting unit in arithmetic server 160 all connects the output of polling server 150, the input of the equal connection data of its output storehouse server 120 and the input of management server 110.
Wherein, noise jamming detecting unit 165 comprises the Gauss and salt-pepper noise detection sub-unit 165a, fringes noise detection sub-unit 165b and the strong electromagnetic noise measuring subelement 165c that are linked in sequence.
Definition detecting unit 166 comprises the low contrast detection sub-unit 166a being linked in sequence and focuses on inaccurate detection sub-unit 166b.
Camera Interference Detection unit 167 comprises occlusion detection subelement 167a, the shaking detection subelement 167b being linked in sequence and rotates detection sub-unit 167c.
The video surveillance network quality cruising inspection system forming is thus carrying out video surveillance network quality while patrolling and examining, by management server 110 distributing network monitoring of equipment tasks and video quality patrol task.
The network equipment patrol task that network monitoring service device 130 receiving management servers 110 are sent, from database server 120, obtain video network topology information, auto checking network is communicated with in situation and Real-Time Monitoring video surveillance network 200 equipment running status such as router, switch, DVR, as port information, port service condition, port utilization, port flow and state etc.
Network monitoring service device 130 according to monitoring of structures produce the corresponding network equipment patrol and examine report and network equipment warning message be sent to management server 110.
Meanwhile, the VAM Video Access Module 141 in streaming media server 140 initiatively obtains the video information of each video source from video surveillance network 200, and the video information of obtaining is deposited in cache module 142 and prepared for capturing image information.
Network video quality patrol task and parameter that polling server 150 receiving management servers 110 are sent, generate corresponding video source list, according to video source list, from streaming media server 140, obtain successively corresponding video source image (the video image handling module of specifically calling in streaming media server 140 captures video source image corresponding in cache module 142), and this video source image is sent to arithmetic server 160, call arithmetic server 160 and carry out video image quality Detection task, complete the quality testing of a video source.
After detection finishes, arithmetic server 160 produces video quality warning message and sends to management server 110; Polling server receives that one-time detection completes after message simultaneously, poll video source list successively, and order sends next video image information, repeats Detection task, until whole patrol task completes.
Network monitoring service device 130 and arithmetic server 160 return to network equipment warning message and video quality warning message to management server 110, preserve that the network equipment is patrolled and examined report and video quality is patrolled and examined and reported to database server 120, management server 110 receives warning message and adds up, exports and report to the police, the services such as database server provides to user and browses, inquiry.
As from the foregoing, the present invention is based on snmp simple network management protocol and realize unified management and the maintenance to video surveillance network and equipment thereof, form a unified video system network management platform, realize the management to facility information, equipment state and network performance.Running status and the network equipment thereof to video surveillance network are monitored, and can detect rapidly in time the equipment fault in investigation network.
Video quality detects according to the feature of various fault types, has extracted respectively detection feature, owing to there is reciprocal effect between some feature, considers the internal association between each detection algorithm, takes certain classification and Detection strategy.Adopt the method that has ginseng to combine without participating in, detection method should have certain adaptivity, can independently select threshold value detect and classify according to different monitoring scenes simultaneously.
More than show and described basic principle of the present invention, principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and specification, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (12)
1. a video surveillance network quality method for inspecting, is characterized in that, described method is according to operating state and the monitoring video image quality of equipment in patrol task parallel monitoring video surveillance network, and statistics and show the result of patrolling and examining monitoring.
2. a kind of video surveillance network quality method for inspecting according to claim 1, is characterized in that, monitors the operating state of equipment in video surveillance network and specifically comprise the steps: in described method for inspecting
(11) according to network equipment patrol task generating network equipment routing inspection parameter;
(12) according to network equipment patrol task, obtain the topology information of video surveillance network;
(13) according to the network equipment obtaining, patrol and examine parameter and network topology structure information, the operating state of each equipment in monitoring video surveillance network, generating video monitor network equipment Inspection report, produces monitor network equipment alarm information.
3. a kind of video surveillance network quality method for inspecting according to claim 2, it is characterized in that, the operating state that detects video surveillance network equipment in described step (13) comprises port information, port service condition, port utilization, port flow and the state etc. of equipment.
4. a kind of video surveillance network quality method for inspecting according to claim 1, is characterized in that, in described method for inspecting, monitoring video image quality specifically comprises the steps:
(21) according to video quality patrol task generating video picture quality, patrol and examine parameter;
(22) according to video quality patrol task, generate the video source list that needs monitoring, and from video surveillance network, obtain each video source video image information according to video source list;
(23) according to video image quality, patrol and examine parameter and select corresponding video image quality evaluation method to assess each video source image information, produce video image quality examining report and video image quality warning message.
5. a kind of video surveillance network quality method for inspecting according to claim 4, it is characterized in that, in described step (23), the method for video image quality evaluation comprises signal loss detection method, brightness method for detecting abnormality, signal-freeze detection method, color cast detection method, noise jamming detection method, definition detection method, camera interference detection method and PTZ method for testing motion.
6. a video surveillance network quality cruising inspection system, is characterized in that, described cruising inspection system comprises:
Video surveillance network, for centralized management and the monitoring of large-scale distributed multistage video network;
Management server, described management server joins with network monitoring service device and polling server data, produces corresponding patrol task and patrols and examines parameter, and be sent to network monitoring service device and polling server for setting according to user;
Database server, described database server joins with network monitoring service device and arithmetic server data, for store video monitor network topology information and system, patrols and examines report;
Network monitoring service device, described network monitoring service device and video surveillance network data are joined, be used for the network equipment patrol task sending according to management server and patrol and examine parameter, each equipment in video surveillance network is carried out to status monitoring, and the generation network equipment is patrolled and examined and is reported and send to management server and database server;
Streaming media server, described streaming media server joins with video surveillance network and polling server data respectively, for obtaining video image information from video surveillance network and being sent to polling server;
Polling server, described polling server and arithmetic server data are joined, for producing the video quality patrol task sending according to management server and patrolling and examining parameter, by poll successively, corresponding video image information is sent to arithmetic server successively, calls polling server and carry out video image quality Detection task;
Arithmetic server, described arithmetic server joins with management server and database server data respectively, for adopting corresponding video image quality evaluation detecting unit to carry out quality evaluation to each video image information according to calling of polling server, generation video quality is patrolled and examined report and is sent to management server and database server.
7. a kind of video surveillance network quality cruising inspection system according to claim 6, is characterized in that, described streaming media server comprises:
VAM Video Access Module, for obtaining the video information of each video source from described video surveillance network;
Video image handling module, described video image handling module and VAM Video Access Module data are joined, and for capturing according to the polling requirement of polling server the corresponding video image information that VAM Video Access Module obtains, and are sent to described polling server.
8. a kind of video surveillance network quality cruising inspection system according to claim 7, it is characterized in that, described streaming media server also comprises cache module, the output of VAM Video Access Module connects the input of described cache module, and the output of cache module connects the input of described video image handling module.
9. a kind of video surveillance network quality cruising inspection system according to claim 6, it is characterized in that, described arithmetic server comprises the signal loss detection unit, brightness abnormality detection unit, signal-freeze detecting unit, color cast detection unit, noise jamming detecting unit, definition detecting unit, camera Interference Detection unit and the PTZ motion detection unit that are linked in sequence, and the input of each detecting unit all connects the output of described polling server, its output all connects the input of described database server and the input of management server.
10. a kind of video surveillance network quality cruising inspection system according to claim 9, it is characterized in that, described noise jamming detecting unit comprises the Gauss and salt-pepper noise detection sub-unit, fringes noise detection sub-unit and the strong electromagnetic noise measuring subelement that are linked in sequence.
11. a kind of video surveillance network quality cruising inspection systems according to claim 9, is characterized in that, described definition detecting unit comprises the low contrast detection sub-unit being linked in sequence and focuses on inaccurate detection sub-unit.
12. a kind of video surveillance network quality cruising inspection systems according to claim 9, is characterized in that, described camera Interference Detection unit comprises occlusion detection subelement, the shaking detection subelement being linked in sequence and rotates detection sub-unit.
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| CN103945219A (en) * | 2014-04-30 | 2014-07-23 | 北京邮电大学 | Network side video quality monitoring system |
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