CN202282837U - Video quality diagnosis system - Google Patents

Video quality diagnosis system Download PDF

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Publication number
CN202282837U
CN202282837U CN2011203137417U CN201120313741U CN202282837U CN 202282837 U CN202282837 U CN 202282837U CN 2011203137417 U CN2011203137417 U CN 2011203137417U CN 201120313741 U CN201120313741 U CN 201120313741U CN 202282837 U CN202282837 U CN 202282837U
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video
camera
quality
diagnostic
video quality
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仇强
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VIDEOPARK TECHNOLOGY CO., LTD.
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Hangzhou Intelligence Nuo Yingte Science And Technology Ltd
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Abstract

The utility model relates to a video quality diagnosis system which belongs to the technical field of monitoring systems, and is characterized by comprising a front-end video camera, video capturing, forwarding and storage equipment, a video quality diagnotor and a client terminal; the front-end video camera is connected with the video capturing, forwarding and storage equipment via a video transmission network; the video capturing, forwarding and storage equipment is connected with the video quality diagnotor through the video transmission network; and the video quality diagnotor is connected with the client terminal via the network. According to the video quality diagnosis system, not only can the fault detection that a traditional network administrator can complete be completed, but also fault problems can be more segmented, various problems about picture quality can be accurately detected and informed to a user, and simultaneously whether a video recorded in a hard disk video recorder is effective and whether the hard disk video recorder is recording video are accurately detected; and the diagnosis system can quickly and effectively detect the video quality faults of the front-end equipment, and timely lets an administrator understand and master the operation status of the front-end equipment, and is convenient to administrate.

Description

The video quality diagnostic system
Technical field
The utility model belongs to the supervisory control system technical field, is specially the video quality diagnostic system.
Background technology
At present; Along with people's improves constantly the demand of supervisory control system, and the scale of supervisory control system is also increasing, for example as financial industry; The public security industry; Safe city, camera has reached several thousand the tunnel even several ten thousand the tunnel under the monitoring alarm networked platforms of construction such as the administration of justice, and thing followed problem is how to understand the ruuning situation of headend equipments such as the so many camera of quantity, DVR fast and effectively so; Whether can in time grasp those headend equipments fault has taken place, whether the DVR video file is effective etc.
The centralized monitoring system of a lot of large-scale industries all is made up of front-end camera, DVR/DVS, center monitoring platform; General center monitoring platform all can have network management function; Whether but this network management function only is a monitoring frontend cuts off the power supply; Whether vision signal loses, functions such as server system resource operating position.But having the common webmastering software of a lot of equipment faults in the actual conditions can't detect; The quality of front end camera picture for example; Whether colour cast whether invalid the or front-end camera of video file situation such as at all do not record a video occurs in snowflake etc., the DVR, and traditional network management software can't detect this type of fault; Case is taking place perhaps in particular cases so, the video evidence obtaining has not just had practical significance fully.Prior art mainly is through webmastering software, and whether the hardware device that utilizes network video signal transmission technology and procotol transmission technology to detect front-end camera, DVR/DVS, center monitoring platform breaks down and ruuning situation.
The utility model content
To the problems referred to above that exist in the prior art; The purpose of the utility model is to design a kind of technical scheme that can realize the video quality diagnostic system of video quality fault detect fast and effectively to headend equipment is provided; This system can also let the manager understand the ruuning situation of grasping headend equipment timely, is convenient to management.
Described video quality diagnostic system; It is characterized in that comprising front-end camera, video acquisition forwarding memory device, video quality diagnostor, client; Front-end camera is transmitted memory device through video delivery network and video acquisition and is connected; Video acquisition is transmitted memory device through video delivery network and video quality diagnostor, and the video quality diagnostor is connected with client through network.
Described video quality diagnostic system is characterized in that described front-end camera comprises rifle type video camera, dome type camera, spherical camera, pinhole camera.
Described video quality diagnostic system is characterized in that described video acquisition forwarding memory device comprises video matrix, DVR and monitor supervision platform server.
Described video quality diagnostic system is characterized in that described video quality diagnostor comprises video Diagnosis Service module, WEB service module, database service module.
Above-mentioned video quality diagnostic system; Not only can accomplish the fault detect that traditional network management can be accomplished; Can also be with failure problems sectionalization more; Whether the variety of issue that image quality is occurred all detects and informs the user accurately, also effective to video recording content in the DVR simultaneously, and whether DVR detects recording a video accurately; This diagnostic system can be realized video quality fault detect fast and effectively to headend equipment, and lets the manager understand the ruuning situation of grasping headend equipment timely, is convenient to management.
Description of drawings
Fig. 1 is the structured flowchart of the utility model;
Fig. 2 is the structural frames detail drawing of the utility model;
Fig. 3 is the diagnostic process key diagram of video quality diagnostor;
Among the figure: 1-front-end camera, 101-rifle type video camera, 102-dome type camera, 103-spherical camera, 104-pinhole camera, 2-video acquisition are transmitted memory device, 201-video matrix, 202-DVR, 203-monitor supervision platform server, 3-video quality diagnostor, 301-video Diagnosis Service module, 302-WEB service module, 303-database service module, 4-client.
Embodiment
Below in conjunction with Figure of description the utility model is described further.
As shown in the figure; This video quality diagnostic system; Comprise front-end camera 1, video acquisition forwarding memory device 2, video quality diagnostor 3, client 4; Front-end camera 1 is transmitted memory device 2 through video delivery network and video acquisition and is connected, and video acquisition is transmitted memory device 2 through video delivery network and video quality diagnostor 3, and video quality diagnostor 3 is connected with client 4 through network.Described front-end camera 1 comprises rifle type video camera 101, dome type camera 102, spherical camera 103, pinhole camera 104.Described video acquisition is transmitted memory device 2 and is comprised video matrix 201, DVR 202 and monitor supervision platform server 203.Described video quality diagnostor 3 comprises video Diagnosis Service module 301, WEB service module 302, database service module 303.The interface of front-end camera 1 is simulation (BNC) or network (RJ-45), and the interface that video acquisition is transmitted memory device 2 is simulation (BNC) or network (RJ-45); Video delivery network is simulation or digital transmission network; The interface of video quality diagnostor 3 is network (RJ-45), and the interface of client 4 is network (RJ-45).The corresponding function of video quality diagnostor 3 realizes that through software concrete implementation method belongs to existing known technology, repeats no more at this.
Front-end camera 1 is transferred to video acquisition with vision signal through video delivery network and transmits in the memory device 2; Video quality diagnostor 3 can collect video acquisition and transmit the video of the simulation of transmitting in the memory device 2 or digital signal and carry out the video quality diagnostic function; Diagnostic result and prediction scheme and user profile all are deposited in the database server, and the user diagnoses prediction scheme setting, diagnostic result inquiry and system management facility etc. through client 4 visit WEB servers.
This video quality diagnostic system is a kind of intelligent video accident analysis and early warning system, the snowflake that the video image of front-end camera 1 is occurred, roll screen, fuzzy, colour cast, picture freeze, gain imbalance, common camera fault, vision signal such as The Cloud Terrace is out of control, vision signal is lost disturbed, video quality decline is accurately analyzed, judged and reports to the police; DVR 202 equipment states are analyzed, and whether 202 video recording results are unusual for the monitoring DVR; Convection media server/network condition is analyzed, and whether detect Streaming Media work and Network Transmission normal.System can detect according to vision signal and the DVR 202 of diagnosis prediction scheme automatic or manual to front-end camera 1, record and statistics institute testing result.The user can monitor running situation through the Web mode in client 4, and reception/processing is reported to the police, query history information, and can carry out multiple statistical analysis according to different attributes such as equipment region, brand, fault type, the fault orders of severity.
The diagnosis of 3 pairs of DVRs 202 of video quality diagnostor mainly is three parts: DVR 202 device access states, equipment working state, passage video state:
1) DVR 202 device access states: main basis for estimation is the network communication error sign indicating number, comprises equipment and connects whether success of whether success of whether success of whether success, device logs, equipment working state inquiry, the inquiry of equipment video state;
2) equipment working state comprises: equipment state, disk state, channel status;
Equipment state: normal, the CPU occupation rate is too high (as surpassing 85%), hardware error (unusual) like serial ports;
Disk state: hard-disk capacity, hard disk remaining space, disk state (activity, dormancy, unusual, hard disk error);
Channel status: whether passage connects signal condition (normal or dropout) in video recording, channel hardware state (normal or unusual unusual like DSP);
3) passage video state: whether record a video, whether redundant video recording, video recording are lost; DVR 202 states (switch, power down), video recording plan (timing video recording pattern, video recording fate) (change detection alarm), the reality video recording is reported to the police with planning comparison-disappearance,--the structure daily sheet.
The diagnosis of 3 pairs of front-end cameras 1 of video quality diagnostor:
The video definition abnormality detection: automatically detect since focus on improper, camera lens damages, foreign matter blocks or the people be hoodwink the visual field main part that causes image blurring/block.Luminance video abnormality detection: automatically detect owing to the camera fault, gain controlling is disorderly, lighting condition is unusual or artificial malice blocks etc. that the picture that reason causes is dark excessively, mistake is bright or flickering.Video noise disturbs or the snowflake Interference Detection: detect automatically because phenomenons such as snowflake, strip, ribbon grain interference perhaps appear in video image stack band shape that factors such as aging circuit, transmission fault, loose contact, electromagnetic interference cause, ripple, periodicity superimposed noise such as netted.The video colour cast detects: detect automatically because the video pictures colour cast that circuit loose contact, external disturbance or camera failure and other reasons cause.Comprise the banded colour cast that full frame single colour cast or multiple color mix.Picture freeze detects: detect automatically because the video pictures that video transmission dispatching patcher fault causes freezes.Vision signal disappearance detects: detect the periodicity that causes for malicious sabotage or video transmission link fault because of front-end camera operation irregularity, damage, people or the video deficient phenomena of continuation automatically.Video pictures is shaken, is rolled screen and detects: detect the phenomenons such as the image that causes is shaken up and down, picture rolling owing to disturbing automatically.PTZ control detection: detect the PTZ controlled function automatically, judge whether functions such as rotation, zoom, focusing can normally be used.The camera occlusion detection: camera is to block produced unusual by the people.The camera displacement detection: rifle type video camera is moved the scene that is produced to be changed.
This video quality diagnostic system with video fault/be divided into unusually vision signal disappearance, video definition is unusual, luminance video is unusual, screen is shaken/rolled to video noise/snowflake, video colour cast, picture freeze, video pictures, PTZ is out of control, ten types of video shelters, camera displacement etc.Wherein vision signal disappearance, two kinds of faults of picture freeze are comparatively simple, can be through judging based on the method for image comparison; And for other eight kinds of faults/unusual, then be difficult to diagnose through simple rule.System need extract the image space-time characteristic, and carries out qualitatively from the angle of human eye perception, realizes that video fault/abnormity diagnosis, fault/unusual seriousness passes judgment on.The PTZ motion process of ball machine can cause the quality diagnosis wrong report.Considered cam movement and camera lens push away and closely zoom out the video image characteristic variation that might bring in the design.In testing process, at first carry out the cam movement analysis, be in the PTZ motion process, then only use the insensitive characteristic of cam movement is carried out the accident analysis of some type in case find camera, avoid because of motor because of causing wrong report.
One. this video quality diagnostic system has following systemic-function:
1. user management: system has keeper and two types of users of operator at least, and carries out the hierarchic user management; System can have a plurality of keepers and operator; The keeper is responsible for configuration, management system; The keeper can manage the operator, comprises interpolation, modification, deletion action person; The operator is responsible for the operation of business function.
2. rights management: system adopts the hierarchic user management; The different user identity has different operation authority; The keeper has the highest weight limit, can specify all kinds of operating rights for other users; The keeper can dispose the different operation authority for different operation person.
3. system management
1) system configuration management: system is configured, comprises interpolation, modification, the deletion of video diagnosis unit; The parameter configuration of video diagnosis unit; The parameter configuration of central control unit; The database parameter configuration; Other parameter configuration of system etc.
2) system status monitoring: system's back-up system operation conditions inspection; System monitors also display result to the quantity and the busy-idle condition of Online Video diagnosis unit; When operation exception occurring, relevant information is presented on the user interface, notify the keeper.
3) backup and recovery: system provides the backup and the restore funcitons of system-based data and business datum.
4) log management: system provides User operation log and system's running log.Provide daily record removing, function such as retrieve, check.
Two. this video quality diagnostic system has following business function:
1. device data imports: importing device information, area information, user profile; Utilize above-mentioned information, the user can specify the headend equipment that need diagnose, and sets up all kinds of relevant application functions; System wants regular import information, the consistency of relevant information and third party's monitor supervision platform information in the assurance system; System's support imports with the manual dual mode information of carrying out automatically and upgrades.System is main with automatic refresh mode, utilizes time, diagnostic task or other factor trigger messages to import and the renewal operation; In manual mode, editting functions such as the manual interpolation of support various information, modification, deletion.
2. diagnosis content: diagnosis content refers to carry out video equipment in the supervisory control system project of diagnostic analysis.Comprise analysis, to the analysis of transfer of data, to the analysis of memory device to video pictures; After obtaining analysis result, system's support utilizes analysis result further to infer the function of possible failure cause; And, provide and safeguard advisory opinion the user prompt failure cause.
A. video pictures analysis
The video pictures analysis refers to utilize image processing and analytical technology, through the analysis to video pictures, judges whether picture definition, brightness, interference, color occur, freezes, shake, dropout, video shelter, camera displacement etc. are all kinds of unusual.
B. transfer of data analysis
1) turn-on time
Refer to the video channel between system's foundation and monitor supervision platform turn-on time, get access to the time of video data;
Length was defined as to issue through monitor supervision platform secondary development control interface from the video diagnosis unit and obtained video data instruction beginning turn-on time, till receiving first frame video image;
The situation that has reflected monitor supervision platform video request program and network data transmission turn-on time.When turn-on time, length maybe can't obtain video data, expression monitor supervision platform or transmission system decreased performance or fault;
System is provided with time-out time.Turn-on time surpass the time is set after, the diagnostic task of this road video of system closing.
2) data status
Data status refers to that system obtains the situation of monitor supervision platform video data;
In turn-on time overtime after, system does not receive any video data;
Do not have in turn-on time overtime, but when platform property or network data transmission situation were bad, the video data that system possibly can't obtain sufficient amount carried out diagnostic analysis; Because analyze data deficiencies, the diagnostic analysis task can't normally be accomplished.
C. DVR 202 facility informations
Obtain the configuration information of DVR 202 (DVR), state information, warning message etc. through network; Main operating state (unusual, disk is full for switching on and shutting down, power down) to DVR, the detection of storage medium; Read the video recording configuration plan of DVR such as the video time table under the timing video recording pattern, video recording fate etc. through analyzing actual video file, judge whether to take place the video recording disappearance; Read DVR to inserting the analytical information such as the video-losing of video, video shelter etc., this warning message are incorporated video abnormal alarm class into.
3. diagnostic task management
System forms diagnostic instruction with the mode of plan target; The user utilizes this function, the object that appointment need be diagnosed (being equipment), diagnostic mode, Diagnostic Time, diagnosis content, diagnostic criteria, priority etc.; Above-mentioned key element constitutes diagnosis plan/task; Central control unit is implemented diagnosis according to the automatic activate a task of all kinds of key elements.
4. diagnostic criteria management
Diagnostic criteria refers to the judgment criteria to diagnostic result.Under various tasks condition (for example Diagnostic Time, diagnostic device or the like), system can adopt different judgment criteria that diagnostic result is analyzed; The diagnostic criteria management refers to set up as required all kinds of different diagnostic criteria, and standard is managed.
1) newly-built standard
A newly-built standard provides to comprise standard correlation attribute information such as standard name, standard settling time, standard modification time, standard-creation user, standard to describe;
Set up standard, diagnostic criteria adopts the judge mode of mark, and is associated with multistage warning;
For diagnosis contents such as definition, brightness, interference, the mark coverage is 0 to 100, and the high more ecbatic of mark is normal more;
For diagnosis contents such as color, shake, picture freeze, abnormal signals, adopt normal and unusual two-value to judge;
For diagnosis contents such as definition, brightness, interference, system need provide the user understandable set-up mode; For example mark is divided into some intervals, different intervals are provided corresponding legend; The user understands the intensity of anomaly of mark representative, thereby selects suitable judge mark through legend.
2) modification standard: revise the content of having set up standard, amended standard is effective to unenforced task.
3) deletion standard, the standard that deletion is set up.
5. diagnostic result is handled
A. real-time results show
System supports the real-time demonstration of diagnostic result.After each diagnosis object was accomplished diagnostic analysis, the result can show on user interface.
B. the exception/fault result reports to the police
For the exception/fault result who occurs, the user mainly informs with the form of statistics tabulation/form in system; System can refresh the demonstration latest result on user interface;
System can expand other type of alarms (for example mail warning, SMS alarm etc.);
The user can select to start or close warning, reports to the police after can being chosen in all test items of complete task, is perhaps noting abnormalities/report to the police immediately during fault;
After the user started warning function, user first for avoiding repeatedly frequently reporting to the police, was noting abnormalities/is sending as reporting to the police during fault; Inform the user with the prompting form afterwards.
C. abnormal results is handled
1) artificial affirmation mechanism: for the diagnostic result of exception/fault, system supports the artificial function of confirming; Confirm option comprise through, ignore, wrong report etc.; " through " refer to the customer acceptance diagnostic result, " through " be the system default option, do not have artificial when confirming operation, diagnostic result be " through " state; It is correct " to ignore " the disconnected result of touch, but the user shields diagnostic alarms; " wrong report " touch erroneous results of breaking.
2) real-time video is checked: when carrying out the manual work affirmation, system supports real-time video to check, judges with the indirect labor.
D. diagnostic result inquiry and statistics:, diagnostic result is inquired about according to different search conditions; Search condition comprises several dimensions such as " user-zones-fault " at least; According to condition diagnostic result is added up.Statistical condition comprises Diagnostic Time, diagnosis object, diagnosis object affiliated area, the affiliated user of diagnosis object, diagnosis content, diagnostic result etc.
E. report output, system's support will be inquired about with statistics and exported with report form.
Fig. 3 is the diagnostic process key diagram of video quality diagnostor 3, adopts the high modularization design, function is carried out in video equipment diagnostic analysis process, front end system access and back-end system management divide, and designs each functional module.The system of video quality diagnostor 3 comprises user interactions layer, Business treatment and video equipment Access Layer.The user interactions layer is realized various user interactive, comprises a plurality of modules such as user's login, system management, video equipment (DVR, video channel) management, information analysis and query, Device Diagnostic management, troubleshooting.Business treatment realizes functions such as video quality diagnosis, DVR Device Diagnostic, service logic control, analysis result storage, Web service, comprises Web service, Logic control module, video quality diagnostic module, data source handover module, database etc.The video equipment Access Layer is provided for inserting video equipment to be detected, and the video data stream of decoding etc. is provided.

Claims (3)

1. video quality diagnostic system; It is characterized in that comprising front-end camera (1), video acquisition forwarding memory device (2), video quality diagnostor (3), client (4); Front-end camera (1) is transmitted memory device (2) through video delivery network and video acquisition and is connected; Video acquisition is transmitted memory device (2) through video delivery network and video quality diagnostor (3), and video quality diagnostor (3) is connected with client (4) through network.
2. video quality diagnostic system as claimed in claim 1 is characterized in that described front-end camera (1) comprises rifle type video camera (101), dome type camera (102), spherical camera (103), pinhole camera (104).
3. video quality diagnostic system as claimed in claim 1 is characterized in that described video acquisition forwarding memory device (2) comprises video matrix (201), DVR (202) and monitor supervision platform server (203).
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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102421008A (en) * 2011-12-07 2012-04-18 浙江捷尚视觉科技有限公司 Intelligent video quality detecting system
CN102769774A (en) * 2012-08-15 2012-11-07 赛特斯网络科技(南京)有限责任公司 Method for achieving cross-platform video service quality diagnosis in wideband video network system
CN103517063A (en) * 2012-06-27 2014-01-15 苏州工业园区天华网络技术有限公司 Video quality diagnosis system
CN103763547A (en) * 2013-12-31 2014-04-30 武汉烽火众智数字技术有限责任公司 Video image diagnosis system and diagnosis method based on embedded system
CN103780870A (en) * 2012-10-17 2014-05-07 杭州海康威视数字技术股份有限公司 Video image quality diagnosis system and method thereof
CN104284185A (en) * 2014-10-24 2015-01-14 苏州科达科技股份有限公司 Video image quality routing inspection method and system
CN105323565A (en) * 2015-12-11 2016-02-10 国网浙江桐乡市供电公司 Intelligent video fault analysis and pre-warning system of transformer substation
CN105490862A (en) * 2016-01-08 2016-04-13 成都网丁科技有限公司 Efficient fault diagnosis engine
CN106488221A (en) * 2015-08-31 2017-03-08 展讯通信(上海)有限公司 A kind of method and system of terminal streaming media video reality automation test
CN107959847A (en) * 2017-11-16 2018-04-24 王磊 The video diagnosis of video surveillance network and operation management system and method
CN109003425A (en) * 2018-08-10 2018-12-14 北京车和家信息技术有限公司 A kind of method for early warning and relevant device
CN109842796A (en) * 2019-03-04 2019-06-04 上海豫兴电子科技有限公司 A kind of fault detection system and method, video capture equipment of video capture equipment
CN110581972A (en) * 2018-06-08 2019-12-17 杭州海康威视系统技术有限公司 video abnormity positioning method and device
CN111225202A (en) * 2018-11-27 2020-06-02 杭州海康威视数字技术股份有限公司 Picture fault diagnosis method, device and system

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102421008A (en) * 2011-12-07 2012-04-18 浙江捷尚视觉科技有限公司 Intelligent video quality detecting system
CN103517063A (en) * 2012-06-27 2014-01-15 苏州工业园区天华网络技术有限公司 Video quality diagnosis system
CN102769774A (en) * 2012-08-15 2012-11-07 赛特斯网络科技(南京)有限责任公司 Method for achieving cross-platform video service quality diagnosis in wideband video network system
CN102769774B (en) * 2012-08-15 2014-12-24 赛特斯信息科技股份有限公司 Method for achieving cross-platform video service quality diagnosis in wideband video network system
CN103780870B (en) * 2012-10-17 2017-11-21 杭州海康威视数字技术股份有限公司 Video image quality diagnostic system and its method
US10015529B2 (en) 2012-10-17 2018-07-03 Hangzhou Hikvision Digital Technology Co., Ltd. Video image quality diagnostic system and method thereof
CN103780870A (en) * 2012-10-17 2014-05-07 杭州海康威视数字技术股份有限公司 Video image quality diagnosis system and method thereof
CN103763547A (en) * 2013-12-31 2014-04-30 武汉烽火众智数字技术有限责任公司 Video image diagnosis system and diagnosis method based on embedded system
CN103763547B (en) * 2013-12-31 2016-06-22 武汉烽火众智数字技术有限责任公司 Video image diagnostic system and diagnostic method based on embedded system
CN104284185A (en) * 2014-10-24 2015-01-14 苏州科达科技股份有限公司 Video image quality routing inspection method and system
CN104284185B (en) * 2014-10-24 2017-04-26 苏州科达科技股份有限公司 Video image quality routing inspection method and system
CN106488221B (en) * 2015-08-31 2018-09-07 展讯通信(上海)有限公司 A kind of method and system of terminal streaming media video reality automation test
CN106488221A (en) * 2015-08-31 2017-03-08 展讯通信(上海)有限公司 A kind of method and system of terminal streaming media video reality automation test
CN105323565A (en) * 2015-12-11 2016-02-10 国网浙江桐乡市供电公司 Intelligent video fault analysis and pre-warning system of transformer substation
CN105490862A (en) * 2016-01-08 2016-04-13 成都网丁科技有限公司 Efficient fault diagnosis engine
CN105490862B (en) * 2016-01-08 2019-06-14 成都网丁科技有限公司 A kind of efficient fault diagnosis engine
CN107959847A (en) * 2017-11-16 2018-04-24 王磊 The video diagnosis of video surveillance network and operation management system and method
CN110581972A (en) * 2018-06-08 2019-12-17 杭州海康威视系统技术有限公司 video abnormity positioning method and device
CN109003425A (en) * 2018-08-10 2018-12-14 北京车和家信息技术有限公司 A kind of method for early warning and relevant device
CN111225202A (en) * 2018-11-27 2020-06-02 杭州海康威视数字技术股份有限公司 Picture fault diagnosis method, device and system
CN109842796A (en) * 2019-03-04 2019-06-04 上海豫兴电子科技有限公司 A kind of fault detection system and method, video capture equipment of video capture equipment

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