CN105430380A - Method for determining fault location of external field equipment in network video monitoring - Google Patents
Method for determining fault location of external field equipment in network video monitoring Download PDFInfo
- Publication number
- CN105430380A CN105430380A CN201510852226.9A CN201510852226A CN105430380A CN 105430380 A CN105430380 A CN 105430380A CN 201510852226 A CN201510852226 A CN 201510852226A CN 105430380 A CN105430380 A CN 105430380A
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- port
- data traffic
- transmission equipment
- camera
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a method for determining fault location of external field equipment in network video monitoring, relating to the field of network video monitoring. The method comprises the steps that a client sets thresholds of data traffic of ports of transmission equipment under various fault causes according to fault causes, wherein ports of the transmission equipment are connected with the external field equipment through network lines; the transmission equipment performs real-time statistics on data traffic of each port thereof; states of all ports are observed, and data traffic of each port and the threshold of the data traffic corresponding to each fault cause are compared so as to obtain a size relation; and the fault cause is determined according to observed states of ports and the size relation of the data traffic of each port and the threshold of the data traffic corresponding to each fault cause, and the fault cause is sent to the client. According to the method, people can check faults without going to the installation site of a camera, so that effort and time for checking faults in the installation site of the camera are saved.
Description
Technical field
The present invention relates to Network Video Surveillance field, be specifically related to the determination methods of equipment fault location, a kind of Network Video Surveillance centre field.
Background technology
Along with popularizing of Network Video Surveillance, the increasing extent of monitoring is large.It is more and more that airfield equipment video camera inside monitor supervision platform is also applied, and the distance of video camera and Surveillance center is more and more far away.Once certain video camera of Surveillance center goes wrong depending on broadcasting in real time, generally just think that airfield equipment breaks down.But the reason of fault has a variety of, such as fault of camera, video-losing, netting twine fault etc., fault location needs to investigate one by one.In addition to investigate failure cause and sometimes will go investigation to the video camera infield far from Surveillance center, but investigation is not too conveniently gone in the infield of some video camera, as video camera is arranged on inside tunnel, do the process of closed tunnel in order to worker safety goes back the cooperation of Yao Zhao relevant departments, investigation work so will be caused to waste time and energy.
Summary of the invention
For the defect existed in prior art, the object of the present invention is to provide a kind of determination methods not needing video camera erecting bed can investigate the equipment fault location, Network Video Surveillance centre field of fault.
For reaching above object, the technical scheme that the present invention takes is: the determination methods of a kind of Network Video Surveillance centre field equipment fault location, comprises,
Client arranges the threshold value of the data traffic of transmission equipment port under various failure cause according to failure cause, described transmission equipment port is connected by netting twine with described airfield equipment;
The data traffic of its each port of transmission equipment real-time statistics;
Observe the magnitude relationship of the threshold value of described each port status and more described each port data flow data traffic corresponding with various failure cause;
The magnitude relationship determination failure cause of the threshold value of the described port status arrived according to the observation and described each port data flow data traffic corresponding with various failure cause is also sent to client.
On the basis of technique scheme, described failure cause comprises netting twine fault, fault of camera, camera video loss.
On the basis of technique scheme, described port status comprises UP and Down two states, when described port status from UP become Down then failure judgement reason be netting twine fault.
On the basis of technique scheme, the threshold value of the data traffic of the transmission equipment port in described fault of camera situation is a, the data traffic of described transmission equipment port be less than or equal to a time then failure judgement reason be fault of camera.
On the basis of technique scheme, the threshold value a of the data traffic of described transmission equipment port is that video camera normal working hours are according to 20% of flow.
On the basis of technique scheme, the threshold value of the data traffic of the transmission equipment port under described camera video loss situation is b, and during being greater than a and being less than b of the data traffic of described transmission equipment port, then failure judgement reason is that camera video is lost.
On the basis of technique scheme, the threshold value a of the data traffic of described transmission equipment port be video camera normal working hours according to 20% of flow, the threshold value b of the data traffic of described transmission equipment port is that video camera normal working hours are according to 80% of flow.
On the basis of technique scheme, described client is NM client.
On the basis of technique scheme, described transmission equipment is switch.
Compared with prior art, the invention has the advantages that:
The determination methods of the equipment fault location, Network Video Surveillance centre field in the present invention, when not needing video camera erecting bed, the change of the port status of transmission equipment and port flow statistics is utilized to realize fault of camera investigation, good netting twine fault, fault of camera and the camera video distinguished loses this three kinds of failure causes, thus solves the video camera infield situation that wastes time and energy of investigation fault.
Accompanying drawing explanation
Fig. 1 is the logic diagram of the determination methods of equipment fault location in Network Video Surveillance centre field in the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
The invention provides the determination methods of equipment fault location, a kind of Network Video Surveillance centre field.The core of this method be utilize that the port status of transmission equipment changes, failture evacuation that port data traffic statistics and port data flow threshold arrange to realize video camera, distinguish netting twine fault, fault of camera and camera video by this method to lose, reach the object of fault location.
What the transmission equipment in the present invention adopted is switch, and switch ports themselves state comprises UP and DOWN two states, and under normal circumstances when netting twine inserts switch ports themselves, indicator light is bright, and now switch is UP state.If indicator light does not work, being then DOWN state, if port status becomes Down from UP, can failure judgement reason be netting twine fault.
In addition, the code check of outfield video camera can be arranged, and time field shooting machine utilizes certain port transmission video data of switch outside, in general the data traffic of this port can fluctuate in a smaller scope.Can flow set threshold value a of this port be given accordingly, the size of usual threshold value a be video camera normal working hours according to 20% ~ 40% of flow, the threshold value a in the present invention is that video camera normal working hours are according to 20% of flow.If the data traffic of this port is less than or equal to a, fault of camera just can be thought.Also can set a threshold value b, the size of usual threshold value b be video camera normal working hours according to 80% of flow, if when this port data flow is greater than a and is less than b, think that camera video is lost.
In the present invention, the size of threshold value a and threshold value b can be arranged by client, and the client in the present invention is NM client.Shown in Figure 1, the present invention judges that the step of localizing faults reason is as follows:
(1) administrative staff arrange threshold value a and the b of the transmission equipment port that outfield video camera accesses by NM client;
(2) data traffic of each port of transmission equipment real-time statistics;
(3) if transmission equipment finds that the state of port becomes DOWN from UP, then netting twine fault warning message is sent to client, wait acknowledge.
(4) when transmission equipment finds that port data flow is less than or equal to threshold value a, then fault of camera alarm information is sent to client, wait acknowledge;
(5) when transmission equipment finds that port data flow is less than threshold value b but is greater than threshold value a, then send camera video and lose alarm information to client, wait acknowledge.
In sum, when not needing video camera erecting bed, the change of the port status of transmission equipment and port flow statistics is utilized to realize fault of camera investigation, good netting twine fault, fault of camera and the camera video distinguished loses this three kinds of failure causes, fault is located, thus solves the video camera infield situation that wastes time and energy of investigation fault.
The present invention is not limited to above-mentioned execution mode, and for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications are also considered as within protection scope of the present invention.The content be not described in detail in this specification belongs to the known prior art of professional and technical personnel in the field.
Claims (9)
1. a determination methods for Network Video Surveillance centre field equipment fault location, is characterized in that: comprise,
Client arranges the threshold value of the data traffic of transmission equipment port under various failure cause according to failure cause, described transmission equipment port is connected by netting twine with described airfield equipment;
The data traffic of its each port of transmission equipment real-time statistics;
Observe the magnitude relationship of the threshold value of described each port status and more described each port data flow data traffic corresponding with various failure cause;
The magnitude relationship determination failure cause of the threshold value of the described port status arrived according to the observation and described each port data flow data traffic corresponding with various failure cause is also sent to client.
2. the determination methods of Network Video Surveillance centre field as claimed in claim 1 equipment fault location, is characterized in that: described failure cause comprises netting twine fault, fault of camera, camera video loss.
3. the determination methods of Network Video Surveillance centre field as claimed in claim 2 equipment fault location, is characterized in that: described port status comprises UP and Down two states, when described port status from UP become Down then failure judgement reason be netting twine fault.
4. the determination methods of Network Video Surveillance centre field as claimed in claim 3 equipment fault location, it is characterized in that: the threshold value of the data traffic of the transmission equipment port in described fault of camera situation is a, the data traffic of described transmission equipment port be less than or equal to a time then failure judgement reason be fault of camera.
5. the determination methods of Network Video Surveillance centre field as claimed in claim 4 equipment fault location, is characterized in that: the threshold value a of the data traffic of described transmission equipment port is that video camera normal working hours are according to 20% of flow.
6. the determination methods of Network Video Surveillance centre field as claimed in claim 4 equipment fault location, it is characterized in that: the threshold value of the data traffic of the transmission equipment port under described camera video loss situation is b, during being greater than a and being less than b of the data traffic of described transmission equipment port, then failure judgement reason is that camera video is lost.
7. the determination methods of Network Video Surveillance centre field as claimed in claim 6 equipment fault location, it is characterized in that: the threshold value a of the data traffic of described transmission equipment port be video camera normal working hours according to 20% of flow, the threshold value b of the data traffic of described transmission equipment port is that video camera normal working hours are according to 80% of flow.
8. the determination methods of the equipment fault location, Network Video Surveillance centre field as described in any one of claim 1-7, is characterized in that: described client is NM client.
9. the determination methods of the equipment fault location, Network Video Surveillance centre field as described in any one of claim 1-7, is characterized in that: described transmission equipment is switch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510852226.9A CN105430380A (en) | 2015-11-27 | 2015-11-27 | Method for determining fault location of external field equipment in network video monitoring |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510852226.9A CN105430380A (en) | 2015-11-27 | 2015-11-27 | Method for determining fault location of external field equipment in network video monitoring |
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| CN105430380A true CN105430380A (en) | 2016-03-23 |
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| CN201510852226.9A Pending CN105430380A (en) | 2015-11-27 | 2015-11-27 | Method for determining fault location of external field equipment in network video monitoring |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107643719A (en) * | 2016-07-22 | 2018-01-30 | 三电控股株式会社 | Remote monitoring system |
| CN111565311A (en) * | 2020-04-29 | 2020-08-21 | 杭州迪普科技股份有限公司 | Network traffic characteristic generation method and device |
| CN113038122A (en) * | 2021-03-16 | 2021-06-25 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
| CN114095725A (en) * | 2022-01-19 | 2022-02-25 | 上海兴容信息技术有限公司 | Method and system for judging whether camera is abnormal |
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| CN102316303A (en) * | 2010-06-29 | 2012-01-11 | 广东迅通科技股份有限公司 | Equipment running status monitoring system |
| US20130031575A1 (en) * | 2010-10-28 | 2013-01-31 | Avvasi | System for monitoring a video network and methods for use therewith |
| CN103731643A (en) * | 2014-01-17 | 2014-04-16 | 公安部第三研究所 | Video surveillance network quality inspection method and system |
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| CN101783970A (en) * | 2009-12-22 | 2010-07-21 | 新太科技股份有限公司 | Methods, devices and systems for automatically detecting and managing fault of camera |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107643719A (en) * | 2016-07-22 | 2018-01-30 | 三电控股株式会社 | Remote monitoring system |
| CN111565311A (en) * | 2020-04-29 | 2020-08-21 | 杭州迪普科技股份有限公司 | Network traffic characteristic generation method and device |
| CN113038122A (en) * | 2021-03-16 | 2021-06-25 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
| CN113038122B (en) * | 2021-03-16 | 2022-10-28 | 通号通信信息集团有限公司 | Fault positioning system and method based on video image diagnosis data |
| CN114095725A (en) * | 2022-01-19 | 2022-02-25 | 上海兴容信息技术有限公司 | Method and system for judging whether camera is abnormal |
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Application publication date: 20160323 |