CN104284185B - Video image quality routing inspection method and system - Google Patents
Video image quality routing inspection method and system Download PDFInfo
- Publication number
- CN104284185B CN104284185B CN201410577481.2A CN201410577481A CN104284185B CN 104284185 B CN104284185 B CN 104284185B CN 201410577481 A CN201410577481 A CN 201410577481A CN 104284185 B CN104284185 B CN 104284185B
- Authority
- CN
- China
- Prior art keywords
- detection method
- video image
- image quality
- video
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a video image quality routing inspection method and system. The method includes the following steps that a video image quality routing inspection parameter is determined according to a routing inspection task, and a video image is acquired; a video image quality routing inspection parameter detection method corresponding to the video image quality routing inspection parameter is called to conduct periodicity detection on the video image, and the calling period is divided into at least two types according to the degree of importance of the video image quality routing inspection parameter; the detection result of the video image quality routing inspection parameter can be output after each calling is completed. By means of the video image quality routing inspection method and system, the technical problem that failure monitoring equipment in a network video monitoring system cannot be found rapidly and accurately in the prior art is solved.
Description
Technical field
The present invention relates to technical field of video monitoring, and in particular to a kind of video image quality method for inspecting and system.
Background technology
Safety monitoring industry is just embodying the powerful vitality of its digitized, networking, digitized as young industry
Technology warp-wise traditional analog technology throws down the gauntlet.The network video monitor and control system for quickly growing in the recent period, is well-known one
Individual new focus.It with its function it is integrated, video recording digitized, monitoring intelligent, controlling network, using simplify etc. it is many excellent
Gesture, is favored by everybody, constantly captures the core of security protection industry -- field of video monitoring, or traditional recording monitor system will be become
Renewal product, and cater to digital development rule, comply with networking, the monitoring product of Intelligent Developing Trends will become
The representative of future digital hard disk monitoring field and standard.
Network video monitor and control system because which is directly perceived, accurately, in time and the features such as abundant information, be widely used in government,
The security monitoring in significant points and place in the every field such as education, traffic, finance, playing in public security protection work can not
The effect of replacement.In recent years, with the development of economic society, video surveillance network scale is constantly expanded, and control point and is taken the photograph
The quantity of camera is sharply increased, and on the one hand substantial amounts of control point lifts city technical precaution strength, on the other hand operation but to system
Maintenance brings huge challenge.Some video cameras can be caused due to due to natural aging or artificial destruction in use
Monitor video occur dropout, signal interference, image blurring, image color cast, picture freeze, picture block, it is float, bright
The problems such as degree is abnormal, head is abnormal, or to cause monitor video to postpone very big because of network reason, make user cannot normal browsing make
With.
As can be seen here, how which to be found out from a large amount of video cameras for having come into operation rapidly and accurately and just there is failure,
Become the problem of monitoring system maintenance work urgent need to resolve.Conventionally employed artificial method carries out browsing looking into each video camera
See, find out the video camera that there is failure.But number of cameras is very huge, completely detect that confirmation is required to input each time big
The manpower and time cost of amount, the process to equipment fault also fail to carry out in time, bring inconvenience to user.
The content of the invention
For this purpose, the technical problem to be solved in the present invention is prior art can not rapidly and accurately find Network Video Surveillance
Fault monitoring equipment in system, solves the problem so as to propose a kind of video image quality method for inspecting and system.
To solve above-mentioned technical problem, the present invention is employed the following technical solutions：
A kind of video image quality method for inspecting, comprises the following steps：Determine that video image quality is patrolled according to patrol task
Inspection parameter simultaneously obtains video image；Call the video image quality to patrol and examine the corresponding video image quality of parameter and patrol and examine parameter inspection
Survey method is periodically detected to the video image, calls the cycle to patrol and examine the important of parameter according to the video image quality
Degree is divided at least two；The testing result that the video image quality patrols and examines parameter is exported after completing to call every time.
Preferably, the video image quality patrol and examine parameter include it is following one or more：Video-losing, brightness are different
Often, video freeze, colour cast, noise, definition, video jitter, Network Abnormal, network failure positioning are hidden with broadcast time-delay, image
Gear；The video image quality patrol and examine parameter detection method include it is following one or more：Video loss checking method, brightness
Method for detecting abnormality, video freeze detection method, color cast detection method, noise detecting method, definition detection method, video are trembled
Dynamic detection method, network anomaly detection method, network failure positioning and broadcast time-delay detection method, image occlusion detection method.
Preferably, described to call the cycle to be divided into two kinds, the first calls the video image quality in cycle to patrol and examine parameter detecting
Method includes：Video loss checking method, noise detecting method, definition detection method, video jitter detection method, video freeze
Knot detection method, network anomaly detection method, network failure positioning and broadcast time-delay detection method；Call regarding for cycle for second
Frequency picture quality patrols and examines parameter detection method to be included：Image occlusion detection method, color cast detection method, brightness abnormality detection side
Method.
Preferably, it is described " to call the video image quality to patrol and examine the corresponding video image quality of parameter and patrol and examine parameter inspection
Survey method is periodically detected to the video image, calls the cycle to patrol and examine the important of parameter according to the video image quality
Degree is divided at least two " the step of include：By the same video image quality for calling the cycle patrol and examine parameter detection method by
The significance level that parameter is patrolled and examined according to the video image quality carries out prioritization, and the video image quality patrols and examines parameter inspection
Survey method is called successively according to the prioritization.
Preferably, it is described " to call the video image quality to patrol and examine the corresponding video image quality of parameter and patrol and examine parameter inspection
Survey method is periodically detected to the video image, calls the cycle to patrol and examine the important of parameter according to the video image quality
Degree is divided at least two " the step of include：The video image quality is patrolled and examined into parameter detection method according to the video figure
As quality patrols and examines the significance level distribution alarm authority of parameter or does not distribute alarm authority；Call the described of distribution alarm authority
Video image quality is patrolled and examined parameter detection method and the video image is detected, if testing result does not meet the mark of setting
Standard, then outputting alarm information and/or interruption currently call the video image quality in the cycle to not yet calling to patrol and examine parameter detecting
Method is called.
Based on identical inventive concept, the present invention also provides a kind of video image quality cruising inspection system, including：Patrol task
Module, for determining that video image quality patrols and examines parameter and obtains video image according to patrol task；Calling module, for calling
The video image quality is patrolled and examined the corresponding video image quality of parameter and patrols and examines parameter detection method and the video image is carried out
It is periodically detected, calls the cycle to be divided at least two according to the significance level that the video image quality patrols and examines parameter；Output mould
Block, exports the testing result that the video image quality patrols and examines parameter after completing to call every time.
Preferably, the video image quality patrol and examine parameter include it is following one or more：Video-losing, brightness are different
Often, video freeze, colour cast, noise, definition, video jitter, Network Abnormal, network failure positioning are hidden with broadcast time-delay, image
Gear；The video image quality patrol and examine parameter detection method include it is following one or more：Video loss checking method, brightness
Method for detecting abnormality, video freeze detection method, color cast detection method, noise detecting method, definition detection method, video are trembled
Dynamic detection method, network anomaly detection method, network failure positioning and broadcast time-delay detection method, image occlusion detection method.
Preferably, described to call the cycle to be divided into two kinds, the first calls the video image quality in cycle to patrol and examine parameter detecting
Method includes：Video loss checking method, noise detecting method, definition detection method, video jitter detection method, video freeze
Knot detection method, network anomaly detection method, network failure positioning and broadcast time-delay detection method；Call regarding for cycle for second
Frequency picture quality patrols and examines parameter detection method to be included：Image occlusion detection method, color cast detection method, brightness abnormality detection side
Method.
Preferably, the calling module includes：Priority calling module, for by the same video image for calling the cycle
Quality is patrolled and examined parameter detection method and carries out prioritization according to the significance level that the video image quality patrols and examines parameter, described
Video image quality is patrolled and examined parameter detection method and is called according to the prioritization successively.
Preferably, the calling module includes：Alarm setup module, for the video image quality is patrolled and examined parameter inspection
Survey method is patrolled and examined the significance level distribution alarm authority of parameter according to the video image quality or is not distributed alarm authority；Accuse
Alert performing module, the video image quality for calling distribution alarm authority patrol and examine parameter detection method to the video figure
As being detected, if testing result does not meet the standard of setting, during outputting alarm information and/or interruption currently call the cycle
Video image quality to not yet calling patrols and examines calling for parameter detection method.
The video image quality method for inspecting and system of the present invention has the beneficial effect that：
(1) video image quality method for inspecting of the invention and system, due to determining video image matter according to patrol task
Amount is patrolled and examined parameter and obtains video image；Call the video image quality to patrol and examine the corresponding video image quality of parameter and patrol and examine ginseng
Number detection method is periodically detected to the video image, calls the cycle to patrol and examine parameter according to the video image quality
Significance level is divided at least two；The testing result that the video image quality patrols and examines parameter is exported after completing to call every time.
Can so improve and patrol and examine efficiency, rapidly and accurately find the fault monitoring equipment in network video monitor and control system, and reduce
The hardware configurations such as server CPU are required and reduces cost.
(2) video image quality method for inspecting of the invention and system, will call the cycle according to the video image quality
The significance level for patrolling and examining parameter is divided into two kinds, wherein, the first calls the video image quality in cycle to patrol and examine parameter detection method
Including：Video loss checking method, noise detecting method, definition detection method, video jitter detection method, video freeze inspection
Survey method, network anomaly detection method, network failure positioning and broadcast time-delay detection method；Call the video figure in cycle for second
Parameter detection method is patrolled and examined as quality includes：Image occlusion detection method, color cast detection method, brightness method for detecting abnormality, this
Sample can significantly improve the efficiency of patrolling and examining of the monitoring device in network video monitor and control system, and be further ensured that discovery network video
The promptness and accuracy of the fault monitoring equipment in frequency monitoring system.
(3) video image quality method for inspecting of the invention and system, due to by the same video image for calling the cycle
Quality is patrolled and examined parameter detection method and carries out prioritization according to the significance level that the video image quality patrols and examines parameter, described
Video image quality is patrolled and examined parameter detection method and is called according to the prioritization successively.So more accurately and timely can send out
Fault monitoring equipment in existing network video monitor and control system, while significantly reduce the hardware configurations such as server CPU and requiring and reducing
Cost.
(4) video image quality method for inspecting of the invention and system, in the video image matter of distribution alarm authority
When amount is patrolled and examined the testing result of parameter detection method and is not met the standard of setting, outputting alarm information.So can be anti-in time
Answer the malfunction of the monitoring device in network video monitor and control system；The video figure in the cycle to not yet calling currently is called in interruption
As quality patrols and examines calling for parameter detection method, the hardware configurations such as server CPU can be significantly reduced and required and reduces cost.
Description of the drawings
In order that present disclosure is more likely to be clearly understood, the specific embodiment below according to the present invention is simultaneously combined
Accompanying drawing, the present invention is further detailed explanation, wherein
Fig. 1 is the schematic diagram of the video image quality method for inspecting of the embodiment of the present invention.
Specific embodiment
Embodiment 1
Fig. 1 shows a kind of video image quality side of patrolling and examining being applied in network video monitor and control system of the present embodiment
Method, comprises the following steps：
Step S10, determine that according to patrol task video image quality patrols and examines parameter and obtains video image.
Under different applied environments, for the video image quality of the monitoring device in network video monitor and control system is required
It is different.Will according to the difference of the video image quality under different application environment for the monitoring device in network video monitor and control system
Ask, determine that video image quality patrols and examines parameter, and transfer the video image of the monitoring device.
Step S20, call the video image quality to patrol and examine the corresponding video image quality of parameter to patrol and examine parameter detecting side
Method is periodically detected to the video image, calls the cycle that the significance level of parameter is patrolled and examined according to the video image quality
It is divided at least two.Significance level herein, those skilled in the art can determine according to currently used environment, call
The length in cycle is arranged according to the needs of currently used environment.Significance level high detection method call the cycle arrange
It is as far as possible short, call frequency high；Significance level low detection method call that the cycle arranges in the reasonable scope it is longer, adjust
It is low with frequency, so as to reduce the operand of data, reduce the occupancy to CPU.
The video image quality patrols and examines parameter to be included：It is video-losing, brightness exception, video freeze, colour cast, noise, clear
Clear degree, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image.
Used as other embodiments, it can also be the above-mentioned video image for referring to that the video image quality patrols and examines parameter
Quality patrols and examines in parameter one or more.
Correspondingly, the video image quality is patrolled and examined the corresponding video image quality of parameter and patrols and examines parameter detection method difference
For：Video loss checking method, brightness method for detecting abnormality, video freeze detection method, color cast detection method, noise measuring side
Method, definition detection method, video jitter detection method, network anomaly detection method, network failure positioning are examined with broadcast time-delay
Survey method, image occlusion detection method.
Used as other embodiments, the video image quality is patrolled and examined parameter detection method and above-mentioned can also be referred to
Video image quality patrols and examines in parameter detection method one or more.The video image quality patrol and examine parameter detection method with
The video image quality patrols and examines parameter one-to-one corresponding.
The same video image quality for calling the cycle is patrolled and examined parameter detection method to patrol according to the video image quality
The significance level of inspection parameter carries out prioritization, and the video image quality patrols and examines parameter detection method according to the priority
Sequence is called successively.Fault monitoring equipment in network video monitor and control system can more accurately and timely be found so, while aobvious
Writing reduces the requirement of the hardware configurations such as server CPU, reduces cost.
The video image quality is patrolled and examined into parameter detection method the important of parameter is patrolled and examined according to the video image quality
Degree distribution alarm authority does not distribute alarm authority.
The video image is entered when calling the video image quality of distribution alarm authority to patrol and examine parameter detection method
During row detection, if testing result does not meet the standard of setting, outputting alarm information, or interrupt currently call it is right in the cycle
The video image quality for not yet calling patrols and examines calling for parameter detection method, or outputting alarm information and interruption are currently called
Video image quality in cycle to not yet calling patrols and examines calling for parameter detection method.
When the testing result that the video image quality of distribution alarm authority patrols and examines parameter detection method does not meet setting
Standard when, outputting alarm information, the malfunction of monitoring device that can in time in reaction network video monitoring system.In
The disconnected video image quality currently called in the cycle to not yet calling patrols and examines calling for parameter detection method, can significantly reduce clothes
The hardware configuration requirement such as business device CPU, reduces cost.
Step S30, the testing result that the video image quality patrols and examines parameter is exported after completing to call every time.
After calling end every time, the video image quality for exporting the video image patrols and examines the testing result of parameter,
Allow users to rapidly and accurately grasp the video image quality of the monitoring device in network video monitor and control system, find failure
Monitoring device.
It follows that the video image quality method for inspecting by the present embodiment, can so improve Network Video Surveillance
The fault monitoring equipment patrolled and examined efficiency, rapidly and accurately find in network video monitor and control system of the monitoring device in system, and
And reduce requiring the hardware configurations such as server CPU, reduces cost.
Embodiment 2：
Another of the present embodiment is applied to the video image quality method for inspecting in network video monitor and control system, including with
Lower step：
Step S10, determine that according to patrol task video image quality patrols and examines parameter and obtains video image.
Under different applied environments, for the video image quality of the monitoring device in network video monitor and control system is required
It is different.Will according to the difference of the video image quality under different application environment for the monitoring device in network video monitor and control system
Ask, determine that video image quality patrols and examines parameter, and transfer the video image of the monitoring device.
Step S20, call the video image quality to patrol and examine the corresponding video image quality of parameter to patrol and examine parameter detecting side
Method is periodically detected to the video image, calls the cycle that the significance level of parameter is patrolled and examined according to the video image quality
It is divided into two kinds.
The video image quality patrols and examines parameter to be included：It is video-losing, brightness exception, video freeze, colour cast, noise, clear
Clear degree, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image.
Correspondingly, the video image quality is patrolled and examined the corresponding video image quality of parameter and patrols and examines parameter detection method difference
For：Video loss checking method, brightness method for detecting abnormality, video freeze detection method, color cast detection method, noise measuring side
Method, definition detection method, video jitter detection method, network anomaly detection method, network failure positioning are examined with broadcast time-delay
Survey method, image occlusion detection method.
Experiment shows, the cycle will be called to be divided into two kinds according to the significance level that the video image quality patrols and examines parameter, its
In, the first calls the video image quality in cycle to patrol and examine parameter detection method includes：Video loss checking method, noise measuring
Method, definition detection method, video jitter detection method, video freeze detection method, network anomaly detection method, network event
Barrier positioning and broadcast time-delay detection method；The video image quality in cycle is called for second to patrol and examine parameter detection method and include：Figure
As occlusion detection method, color cast detection method, brightness method for detecting abnormality, can significantly improve in network video monitor and control system
Monitoring device patrols and examines efficiency, and is further ensured that the promptness of the fault monitoring equipment found in network video monitor and control system
And accuracy.
Call the video image quality in cycle to patrol and examine parameter detection method the first to patrol according to the video image quality
The significance level of inspection parameter carries out prioritization：The video loss checking method, noise detecting method, definition detection side
Method is the first priority；The video jitter detection method, video freeze detection method are the second priority；The Network Abnormal
Detection method, network failure positioning and broadcast time-delay detection method are third priority.The first calls the video image in cycle
Quality is patrolled and examined parameter detection method and is called according to the prioritization successively, wherein, the video image quality of equal priority
Patrol and examine parameter detection method to call side by side.
The video image quality that second is called the cycle is patrolled and examined parameter detection method to patrol according to the video image quality
The significance level of inspection parameter carries out prioritization：It is described image occlusion detection method, color cast detection method, preferential for first
Level, institute's brightness method for detecting abnormality is the second priority.The video image quality in cycle is called for second to patrol and examine parameter detecting side
Method is called successively according to the prioritization, wherein, the video image quality of equal priority patrols and examines parameter detection method simultaneously
Row are called.
The video-losing, brightness exception and video freeze are that important video image quality patrols and examines parameter, are regarded to described
Frequency loss detection method, brightness method for detecting abnormality and video freeze detection method distribution alarm authority.When the video-losing
Detection method or brightness method for detecting abnormality or video freeze detection method are completed to the video images detection
When, if testing result does not meet the standard of setting, outputting alarm information, or interrupt and currently call in the cycle to not yet adjusting
During video image quality patrols and examines calling for parameter detection method, or outputting alarm information and interruption currently call the cycle
Video image quality to not yet calling patrols and examines calling for parameter detection method.
Step S30, the testing result that the video image quality patrols and examines parameter is exported after completing to call every time.
After calling end every time, the video image quality for exporting the video image patrols and examines the testing result of parameter,
Allow users to rapidly and accurately grasp the video image quality of the monitoring device in network video monitor and control system, find failure
Monitoring device.
Embodiment 3
A kind of video image quality cruising inspection system being applied in network video monitor and control system of the present embodiment, including patrolling and examining
Task module, calling module and output module.
According to patrol task, the patrol task module is for determining that video image quality patrols and examines parameter and obtain video figure
Picture.
Under different applied environments, for the video image quality of the monitoring device in network video monitor and control system is required
It is different.Will according to the difference of the video image quality under different application environment for the monitoring device in network video monitor and control system
Ask, determine that video image quality patrols and examines parameter, and transfer the video image of the monitoring device.
The calling module patrols and examines ginseng for calling the video image quality to patrol and examine the corresponding video image quality of parameter
Number detection method is periodically detected to the video image, calls the cycle to patrol and examine parameter according to the video image quality
Significance level is divided at least two.
The video image quality patrols and examines parameter to be included：It is video-losing, brightness exception, video freeze, colour cast, noise, clear
Clear degree, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image.
Used as other embodiments, it can also be the above-mentioned video image for referring to that the video image quality patrols and examines parameter
Quality patrols and examines in parameter one or more.
Correspondingly, the video image quality is patrolled and examined the corresponding video image quality of parameter and patrols and examines parameter detection method difference
For：Video loss checking method, brightness method for detecting abnormality, video freeze detection method, color cast detection method, noise measuring side
Method, definition detection method, video jitter detection method, network anomaly detection method, network failure positioning are examined with broadcast time-delay
Survey method, image occlusion detection method.
Used as other embodiments, the video image quality is patrolled and examined parameter detection method and above-mentioned can also be referred to
Video image quality patrols and examines in parameter detection method one or more.The video image quality patrol and examine parameter detection method with
The video image quality patrols and examines parameter one-to-one corresponding.
The calling module includes priority calling module and/or alarm setup module, alarm performing module.
The priority calling module is for patrolling and examining parameter detection method by the same video image quality for calling the cycle
The significance level that parameter is patrolled and examined according to the video image quality carries out prioritization, and the video image quality patrols and examines parameter
Detection method is called successively according to the prioritization.
The setup module that alerts is for patrolling and examining parameter detection method according to the video figure by the video image quality
As quality patrols and examines the significance level distribution alarm authority of parameter or does not distribute alarm authority.
The alarm performing module is used to call the video image quality of distribution alarm authority to patrol and examine parameter detecting side
When method is detected to the video image, if testing result does not meet the standard of setting, outputting alarm information, Huo Zhezhong
The disconnected video image quality currently called in the cycle to not yet calling patrols and examines calling for parameter detection method, or outputting alarm letter
Breath and interrupt and currently call the video image quality in the cycle to not yet calling to patrol and examine calling for parameter detection method.
The output module patrols and examines the detection knot of parameter for the video image quality is exported after completing to call every time
Really.
After calling end every time, the video image quality for exporting the video image patrols and examines the testing result of parameter,
Allow users to rapidly and accurately grasp the video image quality of the monitoring device in network video monitor and control system, find failure
Monitoring device.
Embodiment 4
Another of the present embodiment is applied to the video image quality cruising inspection system in network video monitor and control system, including patrolling
Inspection task module, calling module and output module.
According to patrol task, the patrol task module is for determining that video image quality patrols and examines parameter and obtain video figure
Picture.
Under different applied environments, for the video image quality of the monitoring device in network video monitor and control system is required
It is different.Will according to the difference of the video image quality under different application environment for the monitoring device in network video monitor and control system
Ask, determine that video image quality patrols and examines parameter, and transfer the video image of the monitoring device.
The calling module patrols and examines ginseng for calling the video image quality to patrol and examine the corresponding video image quality of parameter
Number detection method is periodically detected to the video image, calls the cycle to patrol and examine parameter according to the video image quality
Significance level is divided into two kinds.
The video image quality patrols and examines parameter to be included：It is video-losing, brightness exception, video freeze, colour cast, noise, clear
Clear degree, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image.
Correspondingly, the video image quality is patrolled and examined the corresponding video image quality of parameter and patrols and examines parameter detection method difference
For：Video loss checking method, brightness method for detecting abnormality, video freeze detection method, color cast detection method, noise measuring side
Method, definition detection method, video jitter detection method, network anomaly detection method, network failure positioning are examined with broadcast time-delay
Survey method, image occlusion detection method.
The first calls the video image quality in cycle to patrol and examine parameter detection method includes：Video loss checking method, make an uproar
Sound detection method, definition detection method, video jitter detection method, video freeze detection method, network anomaly detection method,
Network failure is positioned and broadcast time-delay detection method；
The video image quality in cycle is called for second to patrol and examine parameter detection method and include：Image occlusion detection method, partially
Color detection method, brightness method for detecting abnormality.
The calling module includes priority calling module and/or alarm setup module, alarm performing module.
The priority calling module is for patrolling and examining parameter detection method by the same video image quality for calling the cycle
The significance level that parameter is patrolled and examined according to the video image quality carries out prioritization, and the video image quality patrols and examines parameter
Detection method is called successively according to the prioritization.
Call the video image quality in cycle to patrol and examine parameter detection method the first to patrol according to the video image quality
The significance level of inspection parameter carries out prioritization：The video loss checking method, noise detecting method, definition detection side
Method is the first priority；The video jitter detection method, video freeze detection method are the second priority；The Network Abnormal
Detection method, network failure positioning and broadcast time-delay detection method are third priority.The first calls the video image in cycle
Quality is patrolled and examined parameter detection method and is called according to the prioritization successively, wherein, the video image quality of equal priority
Patrol and examine parameter detection method to call side by side.
The video image quality that second is called the cycle is patrolled and examined parameter detection method to patrol according to the video image quality
The significance level of inspection parameter carries out prioritization：It is described image occlusion detection method, color cast detection method, preferential for first
Level, institute's brightness method for detecting abnormality is the second priority.The video image quality in cycle is called for second to patrol and examine parameter detecting side
Method is called successively according to the prioritization, wherein, the video image quality of equal priority patrols and examines parameter detection method simultaneously
Row are called.
The setup module that alerts is for patrolling and examining parameter detection method according to the video figure by the video image quality
As quality patrols and examines the significance level distribution alarm authority of parameter or does not distribute alarm authority.
The alarm performing module is used to call the video image quality of distribution alarm authority to patrol and examine parameter detecting side
When method is detected to the video image, if testing result does not meet the standard of setting, outputting alarm information, Huo Zhezhong
The disconnected video image quality currently called in the cycle to not yet calling patrols and examines calling for parameter detection method, or outputting alarm letter
Breath and interrupt and currently call the video image quality in the cycle to not yet calling to patrol and examine calling for parameter detection method.
The video-losing, brightness exception and video freeze are that important video image quality patrols and examines parameter, are regarded to described
Frequency loss detection method, brightness method for detecting abnormality and video freeze detection method distribution alarm authority.When the video-losing
Detection method or brightness method for detecting abnormality or video freeze detection method are completed to the video images detection
When, if testing result does not meet the standard of setting, outputting alarm information, or interrupt and currently call in the cycle to not yet adjusting
During video image quality patrols and examines calling for parameter detection method, or outputting alarm information and interruption currently call the cycle
Video image quality to not yet calling patrols and examines calling for parameter detection method.
The output module patrols and examines the detection knot of parameter for the video image quality is exported after completing to call every time
Really.
After calling end every time, the video image quality for exporting the video image patrols and examines the testing result of parameter,
Allow users to rapidly and accurately grasp the video image quality of the monitoring device in network video monitor and control system, find failure
Monitoring device.
Obviously, above-described embodiment is only intended to clearly illustrate example, and the not restriction to embodiment.It is right
For those of ordinary skill in the art, can also make on the basis of the above description other multi-forms change or
Change.There is no need to be exhaustive to all of embodiment.And thus it is extended obvious change or
Among changing still in the protection domain of the invention.
Claims (6)
1. a kind of video image quality method for inspecting, it is characterised in that comprise the following steps：
Determine that video image quality patrols and examines parameter and obtains video image according to patrol task；
Call the video image quality to patrol and examine the corresponding video image quality of parameter parameter detection method is patrolled and examined to the video
Image is periodically detected, and calls the cycle to be divided into two kinds according to the significance level that the video image quality patrols and examines parameter, the
A kind of video image quality for calling the cycle patrols and examines parameter detection method to be included：Video loss checking method, noise detecting method,
Definition detection method, video jitter detection method, video freeze detection method, network anomaly detection method, network failure are fixed
Position and broadcast time-delay detection method；The video loss checking method, noise detecting method, definition detection method are first excellent
First level；The video jitter detection method, video freeze detection method are the second priority；The network anomaly detection method,
It is third priority that network failure is positioned with broadcast time-delay detection method；The video image quality in cycle is called for second to patrol and examine ginseng
Number detection method includes：Image occlusion detection method, color cast detection method, brightness method for detecting abnormality；Described image blocks inspection
Survey method, color cast detection method, for the first priority, institute's brightness method for detecting abnormality is the second priority；
The same video image quality for calling the cycle is patrolled and examined into parameter detection method ginseng is patrolled and examined according to the video image quality
Several significance levels carries out prioritization, and the video image quality patrols and examines parameter detection method according to the prioritization
Call successively；
The testing result that the video image quality patrols and examines parameter is exported after completing to call every time.
2. video image quality method for inspecting according to claim 1, it is characterised in that：
The video image quality patrol and examine parameter include it is following one or more：Video-losing, brightness exception, video freeze,
Colour cast, noise, definition, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image；
The video image quality patrol and examine parameter detection method include it is following one or more：It is video loss checking method, bright
Degree method for detecting abnormality, video freeze detection method, color cast detection method, noise detecting method, definition detection method, video
Blur detecting method, network anomaly detection method, network failure positioning and broadcast time-delay detection method, image occlusion detection side
Method.
3. the video image quality method for inspecting according to claim 1 or 2 any one, it is characterised in that described " to call institute
Stating video image quality and patrolling and examining the corresponding video image quality of parameter and patrol and examine parameter detection method carries out week to the video image
Phase property detect, call the cycle to be divided at least two according to the significance level that the video image quality patrols and examines parameter " the step of wrap
Include：
The video image quality is patrolled and examined into the significance level that parameter detection method patrols and examines parameter according to the video image quality
Distribution alarm authority does not distribute alarm authority；
Call the video image quality that distribution alerts authority to patrol and examine parameter detection method to detect the video image,
If testing result does not meet the standard of setting, outputting alarm information and/or interruption are currently called in the cycle to not yet calling
Video image quality patrol and examine calling for parameter detection method.
4. a kind of video image quality cruising inspection system, it is characterised in that include：
Patrol task module, for determining that video image quality patrols and examines parameter and obtains video image according to patrol task；
Calling module, patrols and examines parameter detecting side for calling the video image quality to patrol and examine the corresponding video image quality of parameter
Method is periodically detected to the video image, calls the cycle that the significance level of parameter is patrolled and examined according to the video image quality
It is divided into two kinds, the cycle of calling of the high detection method of significance level is less than the low detection method of significance level；The first calls week
The video image quality of phase patrols and examines parameter detection method to be included：Video loss checking method, noise detecting method, definition detection
Method, video jitter detection method, video freeze detection method, network anomaly detection method, network failure positioning are prolonged with broadcasting
When detection method；The video loss checking method, noise detecting method, definition detection method are the first priority；It is described
Video jitter detection method, video freeze detection method are the second priority；The network anomaly detection method, network failure are fixed
Position is third priority with broadcast time-delay detection method；The video image quality in cycle is called for second to patrol and examine parameter detection method
Including：Image occlusion detection method, color cast detection method, brightness method for detecting abnormality；Described image occlusion detection method, colour cast
Detection method, for the first priority, institute's brightness method for detecting abnormality is the second priority；
Priority calling module, for the same video image quality for calling the cycle is patrolled and examined parameter detection method according to described
Video image quality is patrolled and examined the significance level of parameter and carries out prioritization, and the video image quality patrols and examines parameter detection method
Called according to the prioritization successively；
Output module, exports the testing result that the video image quality patrols and examines parameter after completing to call every time.
5. video image quality cruising inspection system according to claim 4, it is characterised in that：
The video image quality patrol and examine parameter include it is following one or more：Video-losing, brightness exception, video freeze,
Colour cast, noise, definition, video jitter, Network Abnormal, network failure positioning are blocked with broadcast time-delay, image；
The video image quality patrol and examine parameter detection method include it is following one or more：It is video loss checking method, bright
Degree method for detecting abnormality, video freeze detection method, color cast detection method, noise detecting method, definition detection method, video
Blur detecting method, network anomaly detection method, network failure positioning and broadcast time-delay detection method, image occlusion detection side
Method.
6. the video image quality cruising inspection system according to claim 4 or 5 any one, it is characterised in that described to call mould
Block includes：
Alarm setup module, patrols according to the video image quality for the video image quality is patrolled and examined parameter detection method
The significance level distribution alarm authority of inspection parameter does not distribute alarm authority；
Alarm performing module, the video image quality for calling distribution alarm authority patrol and examine parameter detection method to described
Video image is detected, if testing result does not meet the standard of setting, outputting alarm information and/or interruption are currently called
Video image quality in cycle to not yet calling patrols and examines calling for parameter detection method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410577481.2A CN104284185B (en) | 2014-10-24 | 2014-10-24 | Video image quality routing inspection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410577481.2A CN104284185B (en) | 2014-10-24 | 2014-10-24 | Video image quality routing inspection method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104284185A CN104284185A (en) | 2015-01-14 |
| CN104284185B true CN104284185B (en) | 2017-04-26 |
Family
ID=52258595
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410577481.2A Active CN104284185B (en) | 2014-10-24 | 2014-10-24 | Video image quality routing inspection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104284185B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110121054A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | A kind of petrochemical equipment cruising inspection system based on video analysis |
| CN112598666B (en) * | 2021-01-06 | 2024-06-07 | 苏州光格科技股份有限公司 | Cable tunnel anomaly detection method based on convolutional neural network |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201259634Y (en) * | 2008-07-25 | 2009-06-17 | 重庆大学 | Industrial production equipment failure diagnosis device based on group intelligence |
| CN101529171A (en) * | 2006-10-23 | 2009-09-09 | 开利公司 | Heating, ventilation, air conditioning and refrigeration system with multi-zone monitoring and diagnostics |
| CN202282837U (en) * | 2011-08-24 | 2012-06-20 | 杭州智诺英特科技有限公司 | Video quality diagnosis system |
| CN103678028A (en) * | 2013-12-16 | 2014-03-26 | 重庆川仪自动化股份有限公司 | RAM internal storage detection method and device |
| CN103731643A (en) * | 2014-01-17 | 2014-04-16 | 公安部第三研究所 | Video surveillance network quality inspection method and system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102006459A (en) * | 2010-11-09 | 2011-04-06 | 中国电信股份有限公司 | Intelligent video image diagnosis system and method |
| CN102176758A (en) * | 2011-03-07 | 2011-09-07 | 北京文安科技发展有限公司 | Video quality diagnosis system and realization method thereof |
| CN102118629B (en) * | 2011-03-30 | 2014-04-09 | 上海美琦浦悦通讯科技有限公司 | System and method for guaranteeing network video monitoring service quality based on monitoring platform |
| CN102387038B (en) * | 2011-10-20 | 2014-04-02 | 赛特斯信息科技股份有限公司 | Network video fault positioning system and method based on video detection and comprehensive network management |
| CN202773015U (en) * | 2012-06-19 | 2013-03-06 | 广州市浩云安防科技股份有限公司 | Image quality diagnosis device for video monitoring system |
| CN102740121B (en) * | 2012-07-11 | 2015-12-09 | 赛特斯信息科技股份有限公司 | Be applied to video quality diagnostic control system and the method for video surveillance network |
| CN103281560B (en) * | 2013-06-08 | 2015-05-20 | 南通市电梯部件业商会 | Satellite digital television program broadcast quality detecting system |
-
2014
- 2014-10-24 CN CN201410577481.2A patent/CN104284185B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101529171A (en) * | 2006-10-23 | 2009-09-09 | 开利公司 | Heating, ventilation, air conditioning and refrigeration system with multi-zone monitoring and diagnostics |
| CN201259634Y (en) * | 2008-07-25 | 2009-06-17 | 重庆大学 | Industrial production equipment failure diagnosis device based on group intelligence |
| CN202282837U (en) * | 2011-08-24 | 2012-06-20 | 杭州智诺英特科技有限公司 | Video quality diagnosis system |
| CN103678028A (en) * | 2013-12-16 | 2014-03-26 | 重庆川仪自动化股份有限公司 | RAM internal storage detection method and device |
| CN103731643A (en) * | 2014-01-17 | 2014-04-16 | 公安部第三研究所 | Video surveillance network quality inspection method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104284185A (en) | 2015-01-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102387038B (en) | Network video fault positioning system and method based on video detection and comprehensive network management | |
| CN102118629B (en) | System and method for guaranteeing network video monitoring service quality based on monitoring platform | |
| CN103067740B (en) | Video monitoring equipment intelligent fault detection method and detection system thereof | |
| CN102176758A (en) | Video quality diagnosis system and realization method thereof | |
| CN202282837U (en) | Video quality diagnosis system | |
| CN103260049A (en) | Intelligent skynet video quality diagnostic system | |
| US7872584B2 (en) | Analyzing smoke or other emissions with pattern recognition | |
| US20080140874A1 (en) | Diagnostic procedure and device for a field bus system | |
| CN102740112B (en) | Method for controlling equipment polling based on video monitoring system | |
| CN109151463B (en) | Video quality diagnosis system and video quality analysis method | |
| CN107566830B (en) | A kind of method, system and the relevant apparatus of the detection of splicing device signal fault | |
| CN102740121A (en) | Video quality diagnosis control system and method applied to video monitoring network | |
| CN110049317A (en) | A kind of online fault detection method, system and the electronic equipment of video monitoring system | |
| CN104284185B (en) | Video image quality routing inspection method and system | |
| CN113129591A (en) | Traffic signal lamp fault detection method based on deep learning target detection | |
| KR20130002271A (en) | Quality checking in video monitoring system | |
| CN110581988B (en) | Signal quality detection method and device, electronic equipment and storage medium | |
| CN108615108A (en) | A kind of assembly line vehicle inspection control method and device | |
| CN110969082B (en) | Clock synchronous test inspection method and system | |
| CN112567627B (en) | Photoelectric solar cell testing system and solar cell assembly line production method | |
| CN103412256A (en) | Membrane switch AOI detector and membrane switch AOI detection method | |
| WO2023280117A1 (en) | Indication signal recognition method and device, and computer storage medium | |
| CN115908360A (en) | Monitoring video inspection method and device, electronic equipment and storage medium | |
| CN111866586B (en) | Underground video data processing method and device, electronic equipment and storage medium | |
| CN110971483B (en) | Pressure testing method and device and computer system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |