CN104219504A - Fault detecting method of subway video monitoring system - Google Patents
Fault detecting method of subway video monitoring system Download PDFInfo
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- CN104219504A CN104219504A CN201410505464.8A CN201410505464A CN104219504A CN 104219504 A CN104219504 A CN 104219504A CN 201410505464 A CN201410505464 A CN 201410505464A CN 104219504 A CN104219504 A CN 104219504A
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Abstract
The invention discloses a fault detecting method of a subway video monitoring system. In the method, video sources, transmission networks, servers and display terminals in the subway video monitoring system are regarded as testing objects, the system is provided with a video monitoring testing module which is connected to an automatic detecting module through the network; videos transmitted in the network are acquired by the video monitoring testing module, after the characteristics of the video data are analyzed, the characteristic data of the relevant acquired data is transmitted to the automatic detecting module through the network; the automatic detecting module collects the video data corresponding to the testing objects and the network characteristic data, and the link where the monitoring video generates faults is judged according to the characteristics of each testing object data and the difference among data of the different testing objects. Through the method, the equipment and the region resulting in monitoring video faults can be effectively identified, so that the operator and the maintenance personnel can conveniently locate them and the subway video monitoring system is recovered for normal operation.
Description
Technical field
The invention belongs to subway technical field of video monitoring, be specifically related to a kind of fault detection method of subway video monitoring system.
Background technology
Subway is a kind of traffic system of modern city efficiently.For guaranteeing the safe, reliable, efficient operation of subway train, subway is generally all equipped with special-purpose video monitoring system, collection, transmission and storage to video datas such as vehicle, station, passengers while realizing subway circulation.Video monitoring is carried out and is related to a plurality of links, such as video monitoring source, transmission network, server apparatus, display device, any one link unreliable, all can be on the impact of video monitoring mass formation, and video monitoring system may face Transmission, without faults such as demonstrations.In order to guarantee the normal operation of video monitoring system, need to detect the transmission quality of video monitoring system.Existing scheme, normally after finding fault, need to be carried out artificial looking up the fault analysis afterwards by staff.
Summary of the invention
In order to overcome the deficiencies in the prior art, the object of the present invention is to provide a kind of in real time, effectively realize fast the fault detection method of subway video monitoring system.
Basic principle of the present invention is that the different links of usining in video delivery network are as tested object, video data by tested object feeds back, quality to video in the different links of transmission compares, by to the real-time analysis of video features with network is measured in real time, draw the variation of monitor video quality, thereby determine location of fault.
The fault detection method of a kind of subway video monitoring system provided by the invention, concrete steps comprise:
(1) video monitoring test module and automatic detection module are set in subway video monitoring system, described video monitoring test module, when being connected with video monitoring source, transmission network, server and display terminal respectively, is connected with automatic detection module by network;
(2) video monitoring test module, take video monitoring source in direct-connected subway video monitoring system, transmission network, server and display terminal is tested object, obtain video data in its network, network characterization to its video data is analyzed, then the associated video data of obtaining and network characterization data are sent to automatic detection module by network;
(3) automatic detection module, video data and the network characterization data of the associated video that collection video monitoring test module sends, according to the otherness of network characterization data between the video data of different tested objects itself and different tested object, adopt in the direction that video flowing transmits in network first principle that occurs that the position at abnormal tested object place is the link that fault occurs to judge that monitor video produces the link of guilty culprit.
In the present invention, video monitoring test module and automatic detection module are special-purpose equipment or the computer that corresponding software is installed.
The network characterizations such as in the present invention, the network characterization of described video data comprises whether packet is lost, delay, i.e. whether the video data that analytical review data source transmits there is the network failures such as packet loss, wrong bag.
Preferably, video monitoring test module regularly calculates Loss Rate (Media loss rate) and delay factor (Delay Factor) according to RFC4445, if network characterization surpasses certain higher limit, thinks that this tested object is abnormal;
Beneficial effect of the present invention is: it is according to the feature of subway network transmission system, a set of simple automatic fault detection method that is applicable to subway video monitoring system has been proposed, it can judge the place link of video monitoring system fault in real time, fast, thereby assists to recover the normal work of subway video monitoring system.
Accompanying drawing explanation
Fig. 1 is the model diagram of subway video monitoring system fault detect.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.Fig. 1 is the model diagram of subway video monitoring system fault detect.
(1) in subway video monitoring system, the equipment that video monitoring source, transmission network, server, display terminal etc. need to carry out video fault detect of take carries out network test as tested object, specifically, the equipment such as switch, storage server, network indicator of a certain camera in station, subway transmission network of take is tested object, in network, add video monitoring test module and automatic detection module, two modules can be a computer or other equipment with corresponding function; Video monitoring test module can adopt IneoQuest Geminus G10 Mid to realize.Video monitoring test module is connected with each tested object respectively, and automatic detection module and video monitoring test module be by the network interconnection, and can intercom mutually, video monitoring test module regularly and automatic detection module shake hands alternately.
(2) video monitoring test module and automatic detection module enter normal condition, video monitoring test module is by arranging network data packet filtering rules, start regularly to collect the packet of the appointment monitor video data source of transmitting in this place's network, according to testing standard, the network characterization of packet is analyzed.
For example, network characterization can regularly calculate Loss Rate (Media loss rate) and delay factor (Delay Factor) according to RFC4445.
Loss Rate=video data packet loss quantity/sampling period
Size/data flow code check of delay factor=video package
If the characteristic of certain tested object, as any one value of Loss Rate and delay factor surpasses given higher limit, so the video data of this point exist abnormal, otherwise, think normal.
Arranging generally of higher limit arranges according to the average retardation of Internet Transmission and Loss Rate, and for example delay factor arranges 50 milliseconds, and Loss Rate arranges 8 bag/seconds.
(3) video monitoring test data, regularly by the monitor video characteristic of the dependence test object obtaining, by the network transmission protocol (as TCP, UDP etc.), sends to automatic detection module;
(4) automatic detection module, according to the characteristic for each tested object receiving, regularly judges in subway video monitoring system whether have fault, and where the link breaking down is in.Judge according to as follows:
If the characteristic for each tested object is all normal, there is no so fault.If the characteristic for certain tested object is abnormal, there is fault in video monitoring system so.
The link that fault occurs, the direction of transmitting in network according to video flowing, there is the position at abnormal tested object place in first, the link that namely fault occurs.For example, the transmission direction of the video monitoring data at certain station is from station platform camera (tested object 1)
→station transmission network (tested object 2)
→core network (tested object 3)
→storage server (tested object 4)
→monitoring display screen (tested object 5), if the characteristic of 5 tested objects all within normal range (NR), can be thought normal so.If had extremely to any one the tested object characteristic between tested object 5 at tested object 1, so just think that the position at place, fault point is from tested object 1, the position at first characteristic abnormality test object place.For example tested object 1 is normal, and tested object 2 is normal, and tested object 3 is normal, and tested object 4 is abnormal, and tested object 5 is abnormal, and fault point is at the position at tested object 4 places, namely storage server so.Need to check storage server.
Claims (5)
1. a fault detection method for subway video monitoring system, is characterized in that, concrete steps are as follows:
(1) video monitoring test module and automatic detection module are set in subway video monitoring system; When described video monitoring test module is connected with video monitoring source, transmission network, server and display terminal respectively, then be connected with automatic detection module by network;
(2) video monitoring test module, video monitoring source, transmission network, server and the display terminal of take in direct-connected subway video monitoring system is tested object, regularly obtain video data in its network, network characterization to its video data is analyzed, then the associated video data of obtaining and network characterization data are sent to automatic detection module by network;
(3) automatic detection module, video data and the network characterization data of the associated video that collection video monitoring test module sends, according to the otherness of network characterization data between the video data of different tested objects itself and different tested object, adopt in the direction that video flowing transmits in network first principle that occurs that the position at abnormal tested object place is the link that fault occurs to judge that monitor video produces the link of guilty culprit.
2. method according to claim 1, is characterized in that: described video monitoring test module and automatic detection module are special-purpose equipment or the computer that corresponding software is installed.
3. method according to claim 1, is characterized in that: described video monitoring test module, by network data packet filtering rules is set, regularly obtains video data in network.
4. method according to claim 1, is characterized in that: the network characterization of described video data comprises Loss Rate and delay factor.
5. method according to claim 4, is characterized in that: described video monitoring test module regularly calculates Loss Rate and delay factor according to RFC4445.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106803795A (en) * | 2017-01-22 | 2017-06-06 | 北京中科睿芯科技有限公司 | Video monitoring system Fault Identification based on detection frame, positioning and warning system and its method |
| CN107566830A (en) * | 2017-09-21 | 2018-01-09 | 威创集团股份有限公司 | A kind of method, system and the relevant apparatus of the detection of splicing device signal fault |
| CN110099250A (en) * | 2019-04-18 | 2019-08-06 | 浙江工业大学 | A kind of monitor video Quality estimation method and broadcast control device |
| CN111163361A (en) * | 2018-11-07 | 2020-05-15 | 中国电信股份有限公司 | Service fault positioning method, device and system, network equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101170703A (en) * | 2007-11-23 | 2008-04-30 | 中兴通讯股份有限公司 | A method and system for monitoring network TV video quality |
| CN101369866A (en) * | 2008-10-21 | 2009-02-18 | 中国电信股份有限公司 | Method and equipment for testing stream media transmission quality |
| CN101425868A (en) * | 2007-11-01 | 2009-05-06 | 华为技术有限公司 | Method and system for media transmission quality monitoring and controlling |
| CN101594260A (en) * | 2008-05-27 | 2009-12-02 | 上海阿尔卡特网络支援系统有限公司 | The IPTV video quality monitoring system |
| CN101729923A (en) * | 2009-08-28 | 2010-06-09 | 重庆重邮东电通信技术有限公司 | Handheld web television quality tester and manufacturing method thereof |
| CN201774553U (en) * | 2010-04-09 | 2011-03-23 | 中国铁道科学研究院基础设施检测研究所 | Monitoring device and system comprehensively detecting train detection equipment at high speed |
| US8146125B2 (en) * | 2009-07-01 | 2012-03-27 | Spirent Communications, Inc | Computerized device and method for analyzing signals in a multimedia over coax alliance (MOCA) network and similar TDM / encrypted networks |
| CN202268968U (en) * | 2011-08-02 | 2012-06-06 | 天津中启创科技有限公司 | Subway monitoring system |
| CN103647684A (en) * | 2013-12-17 | 2014-03-19 | 北京交通大学 | System and method for testing urban rail train security detection sensing network |
-
2014
- 2014-09-28 CN CN201410505464.8A patent/CN104219504B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101425868A (en) * | 2007-11-01 | 2009-05-06 | 华为技术有限公司 | Method and system for media transmission quality monitoring and controlling |
| CN101170703A (en) * | 2007-11-23 | 2008-04-30 | 中兴通讯股份有限公司 | A method and system for monitoring network TV video quality |
| CN101594260A (en) * | 2008-05-27 | 2009-12-02 | 上海阿尔卡特网络支援系统有限公司 | The IPTV video quality monitoring system |
| CN101369866A (en) * | 2008-10-21 | 2009-02-18 | 中国电信股份有限公司 | Method and equipment for testing stream media transmission quality |
| US8146125B2 (en) * | 2009-07-01 | 2012-03-27 | Spirent Communications, Inc | Computerized device and method for analyzing signals in a multimedia over coax alliance (MOCA) network and similar TDM / encrypted networks |
| CN101729923A (en) * | 2009-08-28 | 2010-06-09 | 重庆重邮东电通信技术有限公司 | Handheld web television quality tester and manufacturing method thereof |
| CN201774553U (en) * | 2010-04-09 | 2011-03-23 | 中国铁道科学研究院基础设施检测研究所 | Monitoring device and system comprehensively detecting train detection equipment at high speed |
| CN202268968U (en) * | 2011-08-02 | 2012-06-06 | 天津中启创科技有限公司 | Subway monitoring system |
| CN103647684A (en) * | 2013-12-17 | 2014-03-19 | 北京交通大学 | System and method for testing urban rail train security detection sensing network |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106803795A (en) * | 2017-01-22 | 2017-06-06 | 北京中科睿芯科技有限公司 | Video monitoring system Fault Identification based on detection frame, positioning and warning system and its method |
| CN106803795B (en) * | 2017-01-22 | 2020-02-07 | 北京中科睿芯科技有限公司 | Video monitoring system fault identification, positioning and warning system and method based on detection frame |
| CN107566830A (en) * | 2017-09-21 | 2018-01-09 | 威创集团股份有限公司 | A kind of method, system and the relevant apparatus of the detection of splicing device signal fault |
| CN111163361A (en) * | 2018-11-07 | 2020-05-15 | 中国电信股份有限公司 | Service fault positioning method, device and system, network equipment and storage medium |
| CN110099250A (en) * | 2019-04-18 | 2019-08-06 | 浙江工业大学 | A kind of monitor video Quality estimation method and broadcast control device |
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| CN104219504B (en) | 2017-09-15 |
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Inventor after: Huang Xuejun Inventor after: Sui Zhiyi Inventor after: Wu Guangjun Inventor before: Huang Xuejun Inventor before: Sui Zhiyi |