CN107155089A - A kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning - Google Patents
A kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning Download PDFInfo
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- CN107155089A CN107155089A CN201710256399.3A CN201710256399A CN107155089A CN 107155089 A CN107155089 A CN 107155089A CN 201710256399 A CN201710256399 A CN 201710256399A CN 107155089 A CN107155089 A CN 107155089A
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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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- 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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- Biomedical Technology (AREA)
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Abstract
Unify video monitoring platform equipment fault diagnosis method for early warning the present invention relates to a kind of electric power, it comprises the steps：Equipment fault rapid diagnosis analysis and positioning；Tracing trouble early warning；Failure data analyzing；The present invention is realized carries out automatic diagnostic analysis positioning to the blank screen and error code failure that occur in platform video equipment running, assists O＆M maintainer quickly to investigate event, positioning barrier reason and break off relations problem, the efficiency of lifting O＆M maintenance.By to multi dimensional analysis such as equipment fault reason, fault type, failure-frequency, typical fault region, typical fault scenes, forming equipment operational defect storehouse, data supporting is provided for subsequent video monitoring device type selecting, network configuration standardization.Effectively mitigate operation maintenance personnel workload, improve O＆M overhaul efficiency, lift the reliability index of platform.
Description
Technical field
Unify the present invention relates to electric power in video monitoring platform running, examined automatically for equipment image failure
Survey, fault pre-alarming, the method for accident analysis.
Background technology
Power network video monitor supervision platform is an important component of intelligent grid, is widely used in construction, the life of power network
Production, operation, manage in terms of, pass through the real-time prison to the production such as equipment, circuit and surrounding enviroment in power system, management element
Depending on and record, provide associated picture data for crash analysis, be to " four is distant "（Remote measurement, remote signalling, remote control, remote regulating）Function enters one
Step supplement-" remote viewing ".
From 2010, under the organization of unity of general headquarters' information communication unit, Liaoning Electric Power company carried out power network and uniformly regarded
Frequency monitor supervision platform is built, and different video monitoring systems is interconnected, and realizes unified monitoring, grading control, point domain pipe
Reason.At present, Liaoning electric power grid unifies video monitoring platform and accesses more than 15675 video surveillance point position altogether, covers all departments various regions
Each place such as city business hall, transformer station, transmission line of electricity, information machine room, storehouse, machine-operated building, support all departments, constituent parts
Video Applications demand.
As power network unifies further genralrlization and the application of video monitoring platform, Type of equipment involved by platform and quantity rule
Mould is increasing, and product category is more and more, and equipment also becomes increasingly complex, and the existing quality diagnosis analysis module of platform is to meet
Quality diagnosis analysis demand in equipment running process, but not yet carried out for the failure or problem occurred in equipment running process
Analyzing and positioning, and if depend merely on artificial mode during problem generation, one by one go detection to exclude, it is not only laborious time-consuming, can not yet
The reason for being accurately positioned unit exception and guilty culprit in real time, new difficulty is caused to platform in operation maintenance.
The content of the invention
The present invention unifies the event of video monitoring platform equipment for above-mentioned problems of the prior art there is provided a kind of electric power
Barrier diagnosis method for early warning, solves the reason for can not being accurately positioned unit exception and guilty culprit in real time in the prior art.
Electric power of the present invention unifies video monitoring platform equipment fault diagnosis method for early warning, comprises the steps：
Step 1. equipment fault rapid diagnosis analysis and positioning：
Video monitoring platform equipment operation failure is unified to power network by the technology of network trace and carries out diagnostic analysis, automatic monitoring
Go out online video, blank screen and error code problem；Complete the not analysis of online equipment rapid failure diagnosis, positioning function；
Based on video image diagnosis, the timing to platform access device is detected, rapid failure diagnosis point is carried out for faulty equipment
Analysis, positioning problems, specific positioning are divided into：Not online, blank screen and the specific Exception Type of three kinds of error code；
Step 2. tracing trouble early warning：
Carried out by equipment fault rapid diagnosis analysis and localization method after automatic detecting, when note abnormalities equipment when, by short
Letter or lettergram mode, by information such as real-time informing faulty equipment title, Offtimes, are sent to O＆M maintainer, assist
O＆M maintainer quickly investigates failure；
Step 3. failure data analyzing：
Counted by unified video platform fault data, inquiry failure camera and the number of stoppages, facilitate operation maintenance personnel in time
Count and fast and accurately solve problem；
Using big data statistic of classification analysis method, to failure cause, faulty equipment type, failure-frequency, typical fault region,
The multi dimensional analysis such as typical fault scene, count the quantity and ratio of all kinds of failures, form statistics result, as subsequently regarding
Type selecting, the foundation of network configuration standardization are built in frequency monitoring.
In described step 3, concrete analysis includes as follows：Camera quantity statistics, DVR are set under scene quantity and scene
The frequency and duration statistics, various brands device fails situation statistics occur for standby vendor types statistics, failure.
Advantages of the present invention effect is as follows：
Electric power unifies video monitoring platform equipment fault diagnosis method for early warning, realizes to occurring in platform video equipment running
Blank screen and error code failure carry out automatic diagnostic analysis positioning, assist O＆M maintainer quickly investigate therefore, positioning barrier
Reason simultaneously breaks off relations problem, the efficiency of lifting O＆M maintenance.By to equipment fault reason, fault type, failure-frequency, typical case's event
Hinder the multi dimensional analysis such as region, typical fault scene, form equipment operational defect storehouse, be subsequent video monitoring device type selecting, net
Network configuration standardization provides data supporting.Effectively mitigate operation maintenance personnel workload, improve O＆M overhaul efficiency, lifting platform can
By property index.
Brief description of the drawings
Fig. 1 is equipment fault rapid diagnosis analysis and positioning flow figure.
Fig. 2 is tracing trouble early warning flow chart.
Fig. 3 is platform fault data analysis flowcharts.
Embodiment
Embodiment
Electric power unifies video monitoring platform equipment fault diagnosis method for early warning, by equipment fault rapid diagnosis analysis and positioning side
Method, diagnosis method for early warning and failure data analyzing method composition.
1. equipment fault rapid diagnosis analysis and localization method
Video monitoring platform equipment operation failure is unified to power network by the technology of network trace and carries out diagnostic analysis, automatic monitoring
Go out online video, blank screen and error code problem.Complete the not analysis of online equipment rapid failure diagnosis, positioning function.
Based on video image diagnosis, the timing to platform access device is detected, carrying out fast failure for faulty equipment examines
Disconnected analysis, positioning problems, specific positioning are divided into：Not online, blank screen and the specific Exception Type of three kinds of error code.
2. tracing trouble method for early warning
Carried out by equipment fault rapid diagnosis analysis and localization method after automatic detecting, when note abnormalities equipment when, by short
Letter or lettergram mode, by information such as real-time informing faulty equipment title, Offtimes, are sent to O＆M maintainer, assist
O＆M maintainer quickly investigates failure.
3. failure data analyzing
Counted by unified video platform fault data, inquiry failure camera and the number of stoppages, facilitate operation maintenance personnel in time
Count and fast and accurately solve problem.
Using big data statistic of classification analysis method, to failure cause, faulty equipment type, failure-frequency, typical fault
The multi dimensional analysis such as region, typical fault scene, count the quantity and ratio of all kinds of failures, form statistics result, as
Type selecting, the foundation of network configuration standardization are built in subsequent video monitoring.
Specific analytical method result is as follows：
1. camera quantity statistics under scene quantity and scene；
2.DVR equipment vendors type statistics；
3. the frequency and duration statistics occur for failure；
4. various brands device fails situation is counted.
Claims (2)
1. a kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning, it is characterised in that comprise the steps：
Step 1. equipment fault rapid diagnosis analysis and positioning：
Video monitoring platform equipment operation failure is unified to power network by the technology of network trace and carries out diagnostic analysis, automatic monitoring
Go out online video, blank screen and error code problem；Complete the not analysis of online equipment rapid failure diagnosis, positioning function；
Based on video image diagnosis, the timing to platform access device is detected, rapid failure diagnosis point is carried out for faulty equipment
Analysis, positioning problems, specific positioning are divided into：Not online, blank screen and the specific Exception Type of three kinds of error code；
Step 2. tracing trouble early warning：
Carried out by equipment fault rapid diagnosis analysis and localization method after automatic detecting, when note abnormalities equipment when, by short
Letter or lettergram mode, by information such as real-time informing faulty equipment title, Offtimes, are sent to O＆M maintainer, assist
O＆M maintainer quickly investigates failure；
Step 3. failure data analyzing：
Counted by unified video platform fault data, inquiry failure camera and the number of stoppages, facilitate operation maintenance personnel in time
Count and fast and accurately solve problem；
Using big data statistic of classification analysis method, to failure cause, faulty equipment type, failure-frequency, typical fault region,
The multi dimensional analysis such as typical fault scene, count the quantity and ratio of all kinds of failures, form statistics result, as subsequently regarding
Type selecting, the foundation of network configuration standardization are built in frequency monitoring.
2. a kind of electric power according to claim 1 unifies video monitoring platform equipment fault diagnosis method for early warning, its feature
It is in described step 3, concrete analysis includes as follows：Camera quantity statistics, DVR instrument factories under scene quantity and scene
The frequency and duration statistics, various brands device fails situation statistics occur for business's type statistics, failure.
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| CN201710256399.3A CN107155089A (en) | 2017-04-19 | 2017-04-19 | A kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning |
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| CN201710256399.3A CN107155089A (en) | 2017-04-19 | 2017-04-19 | A kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107908175A (en) * | 2017-11-08 | 2018-04-13 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of electric system site intelligent operational system |
| CN107911693A (en) * | 2017-12-08 | 2018-04-13 | 国网江苏省电力公司 | A kind of method that transformer substation video monitoring device automatic operating is safeguarded |
| CN108173697A (en) * | 2018-01-17 | 2018-06-15 | 北京科来神州科技有限公司 | A kind of video private network security O＆M early warning managing and control system |
| CN109243162A (en) * | 2018-11-21 | 2019-01-18 | 杭州中自沣泰环境技术有限公司 | Meter register method, apparatus and system based on intelligence instrument |
| CN109344979A (en) * | 2018-09-19 | 2019-02-15 | 广东电网有限责任公司 | Power communication access path alarm method and system |
| CN110111580A (en) * | 2019-05-16 | 2019-08-09 | 苏州思卡信息系统有限公司 | A kind of online novel maintenance system of Car license recognition video camera and method |
| CN110995461A (en) * | 2019-10-28 | 2020-04-10 | 厦门大学 | Network fault diagnosis method |
| CN112616041A (en) * | 2020-12-16 | 2021-04-06 | 国网辽宁省电力有限公司本溪供电公司 | Power grid video equipment running state monitoring system and fault analysis method thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104240322A (en) * | 2014-09-26 | 2014-12-24 | 中国能源建设集团广东省电力设计研究院 | Online mobile inspection system and method for substation equipment based on wireless private power network |
| US20150318727A1 (en) * | 2012-11-20 | 2015-11-05 | Robert Bosch Gmbh | Device for testing and maintaining a high voltage battery and uses thereof |
| CN105323087A (en) * | 2014-07-11 | 2016-02-10 | 江苏长宁电力科技有限公司 | Integrated network management system of electric power communication network |
-
2017
- 2017-04-19 CN CN201710256399.3A patent/CN107155089A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150318727A1 (en) * | 2012-11-20 | 2015-11-05 | Robert Bosch Gmbh | Device for testing and maintaining a high voltage battery and uses thereof |
| CN105323087A (en) * | 2014-07-11 | 2016-02-10 | 江苏长宁电力科技有限公司 | Integrated network management system of electric power communication network |
| CN104240322A (en) * | 2014-09-26 | 2014-12-24 | 中国能源建设集团广东省电力设计研究院 | Online mobile inspection system and method for substation equipment based on wireless private power network |
Non-Patent Citations (1)
| Title |
|---|
| 彭向阳，陈 驰，饶章权，杨必胜，麦晓明，王 柯: "基于无人机多传感器数据采集的电力线路安全巡检及智能诊断", 《高电压技术》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107908175A (en) * | 2017-11-08 | 2018-04-13 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of electric system site intelligent operational system |
| CN107911693A (en) * | 2017-12-08 | 2018-04-13 | 国网江苏省电力公司 | A kind of method that transformer substation video monitoring device automatic operating is safeguarded |
| CN108173697A (en) * | 2018-01-17 | 2018-06-15 | 北京科来神州科技有限公司 | A kind of video private network security O＆M early warning managing and control system |
| CN108173697B (en) * | 2018-01-17 | 2021-10-15 | 北京科来神州科技有限公司 | Video private network safety operation and maintenance early warning management and control system |
| CN109344979A (en) * | 2018-09-19 | 2019-02-15 | 广东电网有限责任公司 | Power communication access path alarm method and system |
| CN109243162A (en) * | 2018-11-21 | 2019-01-18 | 杭州中自沣泰环境技术有限公司 | Meter register method, apparatus and system based on intelligence instrument |
| CN110111580A (en) * | 2019-05-16 | 2019-08-09 | 苏州思卡信息系统有限公司 | A kind of online novel maintenance system of Car license recognition video camera and method |
| CN110995461A (en) * | 2019-10-28 | 2020-04-10 | 厦门大学 | Network fault diagnosis method |
| CN110995461B (en) * | 2019-10-28 | 2021-06-22 | 厦门大学 | Network fault diagnosis method |
| CN112616041A (en) * | 2020-12-16 | 2021-04-06 | 国网辽宁省电力有限公司本溪供电公司 | Power grid video equipment running state monitoring system and fault analysis method thereof |
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Application publication date: 20170912 |