CN107742162A - A kind of multidimensional characteristic association analysis method based on auxiliary tone monitoring information - Google Patents
A kind of multidimensional characteristic association analysis method based on auxiliary tone monitoring information Download PDFInfo
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- CN107742162A CN107742162A CN201710998399.0A CN201710998399A CN107742162A CN 107742162 A CN107742162 A CN 107742162A CN 201710998399 A CN201710998399 A CN 201710998399A CN 107742162 A CN107742162 A CN 107742162A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 238000012097 association analysis method Methods 0.000 title claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims description 9
- 238000013024 troubleshooting Methods 0.000 claims description 7
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 3
- 230000002265 prevention Effects 0.000 abstract description 3
- 230000037452 priming Effects 0.000 abstract description 3
- 238000000034 method Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000004587 chromatography analysis Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention provides a kind of multidimensional characteristic association analysis method based on auxiliary tone monitoring information, step includes：Each fault message in auxiliary tone monitoring daily record is obtained, fault information analysis rule is established, establish trouble correlation analytic model and utilizes failure risk existing for the general law-analysing electric equipment.The multidimensional characteristic association analysis method is by analyzing fault signature point, facility information, Weather information, human factor etc. and failure are associated, intuitively to be out of order generation there may be the reason for and priming factorses, realize the function of a quick analysis daily paper, improve the objectivity and efficiency of analysis, and certain prevention alarm can be provided and instructed, some X factors are prepared in advance.
Description
Technical field
The present invention relates to a kind of grid fault analytical method, especially a kind of multidimensional characteristic based on auxiliary tone monitoring information closes
Join analysis method.
Background technology
In current environment, substantial amounts of auxiliary tone daily paper information in the distribution of network system monitoring be present, and the record information
In failure logging be all according to the different text messages recorded when the customs of value personnel, so to construction maintenance personnel with
Be most convenient for value personnel and easily operated, reduce substantial amounts of workflow, be easy to rapid operation, but it is such the drawbacks of
It is also evident from, is just detrimental to administrative analysis, it is difficult to therefrom analyzes useful record preferably to serve power system
Operation, it is therefore desirable to propose one kind in the case of original recording mode is not changed, failure in more preferable structured analysis daily paper
The method of information.
The content of the invention
It is an object of the invention to：In the case where not changing original circuit system structure, propose that a kind of multidimensional characteristic closes
Join analysis method, fault message in more preferable structured analysis daily paper.
In order to realize foregoing invention purpose, the invention provides a kind of multidimensional characteristic association point based on auxiliary tone monitoring information
Analysis method, comprises the following steps：
Step 1, classification processing is carried out to auxiliary tone monitoring daily record, obtains each fault message in auxiliary tone monitoring daily record；
Step 2, word segmentation processing is carried out to fault message, and establishes fault information analysis rule；
Step 3, device model information and weather information are obtained, by fault information analysis rule by device model information and meteorology
Information is respectively associated, and establishes trouble correlation analytic model；
Step 4, the general rule of event of failure is obtained according to trouble correlation analytic model, recycles the general law-analysing
Failure risk existing for electric equipment under the conditions of current weather.
As the further limits scheme of the present invention, in step 1, fault message includes the band of position, time of origin, failure
Classification and troubleshooting content, fault category include Equipment failure and weather cause trouble, and according to the band of position, hair
The order of raw time, fault category and troubleshooting content carry out the regular combing of level successively.
As the further limits scheme of the present invention, in step 2, using ICTCLAS Words partition systems to the regular combing of level
Fault message afterwards carries out word segmentation processing, so as to obtain the keyword of each fault category by troubleshooting content.
As the further limits scheme of the present invention, in step 2, concretely comprising the following steps for fault information analysis rule is established,
Each fault category and keyword are carried out correspondingly, to count the word frequency of each keyword, and set the ranking threshold values of keyword,
By more than ranking threshold values first five be labeled as each fault category Feature Words, by Equipment fault category and equipment fault
Feature Words are corresponding, and weather cause trouble classification is corresponding with weather fault signature word.
As the further limits scheme of the present invention, in step 3, by obtaining device model letter in power network D5000 databases
Breath, by this area meteorology storehouse information acquisition weather information, using fault information analysis rule by equipment fault Feature Words and power network
Device model information in D5000 databases is associated, by the meteorology in weather fault signature word and this area meteorology storehouse information
Information is associated, so as to form a complete trouble correlation analytic model.
As the further limits scheme of the present invention, in step 4, the general rule of event of failure is in stipulated time section
There is the probability of failure of all categories in each station equipment in the band of position to be analyzed.
The beneficial effects of the present invention are：In the method for fault message chromatographic analysis, the information in daily paper is carried out stroke
Point, and by analyzing fault signature point, facility information, Weather information are associated, it may intuitively be produced to generation of being out of order
The reason for raw and priming factorses, the function of a quick analysis daily paper is realized, improve the objectivity and efficiency of analysis, and energy
Provide certain prevention alarm to instruct, some X factors are prepared in advance.
Brief description of the drawings
Fig. 1 is the inventive method schematic flow sheet.
Embodiment
It is understandable to enable the above objects, features and advantages of the present invention to become apparent, below in conjunction with the accompanying drawings to the present invention
Embodiment be described in detail.
As shown in figure 1, the multidimensional characteristic association analysis method disclosed by the invention based on auxiliary tone monitoring information, including it is following
Step：
Step 1, classification processing is carried out to auxiliary tone monitoring daily record, obtains each fault message in auxiliary tone monitoring daily record；
Step 2, word segmentation processing is carried out to fault message, and establishes fault information analysis rule；
Step 3, device model information and weather information are obtained, by fault information analysis rule by device model information and meteorology
Information is respectively associated, and establishes trouble correlation analytic model；
Step 4, the general rule of event of failure is obtained according to trouble correlation analytic model, recycles the general law-analysing
Failure risk existing for electric equipment under the conditions of current weather.
Wherein, in step 1, fault message includes the band of position, time of origin, fault category and troubleshooting content,
Fault category includes Equipment failure and weather cause trouble, and according to the band of position, time of origin, fault category and event
The order of barrier process content carries out the regular combing of level successively.
In step 2, word segmentation processing is carried out to the fault message after the regular combing of level using ICTCLAS Words partition systems, from
And the keyword of each fault category is obtained by troubleshooting content.
In step 2, concretely comprising the following steps for fault information analysis rule is established, each fault category and keyword are carried out pair
Should, the word frequency of each keyword is counted, and the ranking threshold values of keyword is set, first five position more than ranking threshold values is labeled as
The Feature Words of each fault category, Equipment fault category is corresponding with equipment fault Feature Words, by weather cause trouble
Classification is corresponding with weather fault signature word.
In step 3, by obtaining device model information in power network D5000 databases, by this area meteorology storehouse information acquisition gas
Image information, using fault information analysis rule by the device model information in equipment fault Feature Words and power network D5000 databases
It is associated, weather fault signature word is associated with the weather information in the information of this area meteorology storehouse, it is complete so as to form one
Trouble correlation analytic model.
In step 4, the general rule of event of failure is each station equipment in the band of position to be analyzed in stipulated time section
There is the probability of failure of all categories.
The present invention is divided, and pass through analysis event in the method for fault message chromatographic analysis to the information in daily paper
Hinder characteristic point, facility information, Weather information, human factor etc. and failure are associated, intuitively may to generation of being out of order
Producing reason and priming factorses, the function of a quick analysis daily paper is realized, improve the objectivity and efficiency of analysis, and
Certain prevention alarm can be provided to instruct, some X factors are prepared in advance.
Although the present invention is disclosed as above with preferred embodiment, it is not for limiting the present invention, any this area
Technical staff without departing from the spirit and scope of the present invention, may be by the methods and technical content of the disclosure above to this hair
Bright technical scheme makes possible variation and modification, therefore, every content without departing from technical solution of the present invention, according to the present invention
Any simple modifications, equivalents, and modifications made to above example of technical spirit, belong to technical solution of the present invention
Protection domain.It the foregoing is only presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent
Change and modify, should all belong to the covering scope of the present invention.
Claims (6)
1. a kind of multidimensional characteristic association analysis method based on auxiliary tone monitoring information, it is characterised in that comprise the following steps：
Step 1, classification processing is carried out to auxiliary tone monitoring daily record, obtains each fault message in auxiliary tone monitoring daily record；
Step 2, word segmentation processing is carried out to fault message, and establishes fault information analysis rule；
Step 3, device model information and weather information are obtained, by fault information analysis rule by device model information and meteorology
Information is respectively associated, and establishes trouble correlation analytic model；
Step 4, the general rule of event of failure is obtained according to trouble correlation analytic model, recycles the general law-analysing
Failure risk existing for electric equipment under the conditions of current weather.
2. the multidimensional characteristic association analysis method according to claim 1 based on auxiliary tone monitoring information, it is characterised in that step
In rapid 1, fault message includes the band of position, time of origin, fault category and troubleshooting content, and fault category includes equipment
Cause trouble and weather cause trouble, and according to the order of the band of position, time of origin, fault category and troubleshooting content
The regular combing of level is carried out successively.
3. the multidimensional characteristic association analysis method according to claim 2 based on auxiliary tone monitoring information, it is characterised in that step
In rapid 2, word segmentation processing is carried out to the fault message after the regular combing of level using ICTCLAS Words partition systems, so as to by failure
Manage the keyword that content obtains each fault category.
4. the multidimensional characteristic association analysis method according to claim 3 based on auxiliary tone monitoring information, it is characterised in that step
In rapid 2, concretely comprising the following steps for fault information analysis rule is established, each fault category and keyword are carried out correspondingly, statistics is each
The word frequency of individual keyword, and the ranking threshold values of keyword is set, each failure will be labeled as more than first five position of ranking threshold values
The Feature Words of classification, Equipment fault category is corresponding with equipment fault Feature Words, by weather cause trouble classification and day
Gas fault signature word is corresponding.
5. the multidimensional characteristic association analysis method according to claim 4 based on auxiliary tone monitoring information, it is characterised in that step
In rapid 3, by obtaining device model information in power network D5000 databases, by this area meteorology storehouse information acquisition weather information, utilize
Fault information analysis rule is associated with the device model information in power network D5000 databases by equipment fault Feature Words, by day
Gas fault signature word is associated with the weather information in the information of this area meteorology storehouse, so as to form a complete fault correlation point
Analyse model.
6. the multidimensional characteristic association analysis method according to claim 5 based on auxiliary tone monitoring information, it is characterised in that step
In rapid 4, the general rule of event of failure is of all categories for each station equipment appearance in the band of position to be analyzed in stipulated time section
The probability of failure.
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| CN201710998399.0A CN107742162B (en) | 2017-10-24 | 2017-10-24 | Multidimensional feature association analysis method based on allocation monitoring information |
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| CN201710998399.0A CN107742162B (en) | 2017-10-24 | 2017-10-24 | Multidimensional feature association analysis method based on allocation monitoring information |
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| CN107742162B CN107742162B (en) | 2023-06-09 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647791A (en) * | 2018-03-30 | 2018-10-12 | 中国标准化研究院 | A kind of processing method of multi-source automotive safety information, apparatus and system |
| CN110428060A (en) * | 2019-06-12 | 2019-11-08 | 南京博泰测控技术有限公司 | A kind of fault information managing method, device and system |
| CN111090973A (en) * | 2019-11-26 | 2020-05-01 | 北京明略软件系统有限公司 | Report generation method and device and electronic equipment |
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| CN103489138A (en) * | 2013-10-16 | 2014-01-01 | 国家电网公司 | Method for analyzing relevancy between power transmission network fault information and line out-of-limit information |
| CN104361500A (en) * | 2014-11-25 | 2015-02-18 | 珠海格力电器股份有限公司 | Air conditioner after-sale failure data processing method and system |
| CN107124291A (en) * | 2017-03-06 | 2017-09-01 | 国网上海市电力公司 | A kind of adjusting device monitoring analysis system and method based on big data |
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2017
- 2017-10-24 CN CN201710998399.0A patent/CN107742162B/en active Active
Patent Citations (3)
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| CN103489138A (en) * | 2013-10-16 | 2014-01-01 | 国家电网公司 | Method for analyzing relevancy between power transmission network fault information and line out-of-limit information |
| CN104361500A (en) * | 2014-11-25 | 2015-02-18 | 珠海格力电器股份有限公司 | Air conditioner after-sale failure data processing method and system |
| CN107124291A (en) * | 2017-03-06 | 2017-09-01 | 国网上海市电力公司 | A kind of adjusting device monitoring analysis system and method based on big data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647791A (en) * | 2018-03-30 | 2018-10-12 | 中国标准化研究院 | A kind of processing method of multi-source automotive safety information, apparatus and system |
| CN108647791B (en) * | 2018-03-30 | 2020-12-29 | 中国标准化研究院 | Multi-source automobile safety information processing method, device and system |
| CN110428060A (en) * | 2019-06-12 | 2019-11-08 | 南京博泰测控技术有限公司 | A kind of fault information managing method, device and system |
| CN111090973A (en) * | 2019-11-26 | 2020-05-01 | 北京明略软件系统有限公司 | Report generation method and device and electronic equipment |
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