CN107784485A - A kind of grid equipment state evaluation system - Google Patents
A kind of grid equipment state evaluation system Download PDFInfo
- Publication number
- CN107784485A CN107784485A CN201710997325.5A CN201710997325A CN107784485A CN 107784485 A CN107784485 A CN 107784485A CN 201710997325 A CN201710997325 A CN 201710997325A CN 107784485 A CN107784485 A CN 107784485A
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- data
- equipment
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- trouble report
- evaluation system
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- 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
Abstract
The invention discloses a kind of grid equipment state evaluation system, it is characterised in that including Hardware Subdivision and software portion, the Hardware Subdivision includes Cloud Server, local terminal PC and Condition Detection instrument, and the software portion includes the data processing software in terminal PC.It is horizontal to improve substation equipment service work, simplifies workflow, specifies problem, pinpoint the problems early, Mass Data Management can be produced, therefrom the redundancy technique talent, increase managerial experiences, can slave unit to people even to management level can quick response internet development change.
Description
Technical field
The present invention relates to grid equipment detecting system, specially a kind of practical application by internet, with equipment
The data of live detection and state-detection form appraisement system.
Background technology
With the continuous development that power grid construction and repair based on condition of component work, each provincial company of national grid subordinate carry out equipment and
When, dynamic analysis necessitated work, state-detection data exponentially increase caused by power equipment, then occur as soon as shape
The problems such as state detection data message source is more, type is complicated, data-reusing rate is low and analyzes not in time.Current equipment state inspection
Surveying data is recorded according to the form output of instrument manufacturer facility man or according to testing staff's experience mostly, causes state-detection data
Form disunity, standardization degree is poor, be unfavorable for data it is efficient using and the state of docking in the future net big data information development.Its
The problem of including, is again：
(1) intelligent level is not high enough, and personnel specialtyization is low；
(2) critical data is ignored, and data do not have unified form；
(3) do not form unified assay format to unstructured datas such as collection of illustrative plates and videos, this kind of data can not be entered
Row database persistence；
(4) the complete inquiry archives of equipment health are not set up, the service bulletin after equipment fault cannot function as asking in the future
Inscribe the reference of inquiry；
(5) recall precision is low after detecting data formation file, and space-consuming is big.
Therefore, a kind of grid equipment state evaluation system is urgently studied.
The content of the invention
It is an object of the invention in view of the above-mentioned problems, overcome prior art insufficient, disclose one kind by internet
Practical application, form appraisement system with the data of the live detection of equipment and state-detection.Including high voltage alive equipment number
According to collection, data normalization storage, generation personal information storehouse, equipment health account storehouse, workflow report, Trouble Report, inspection
Repair report, handling suggestion report, the inquiry of historical data form, operating mode form etc..
To achieve the above object, the present invention uses following technical scheme：
A kind of grid equipment state evaluation system, including Hardware Subdivision and software portion, the Hardware Subdivision include Cloud Server, sheet
Ground terminal PC and Condition Detection instrument, the software portion include the data processing software in terminal PC.
Preferably, the job step：
Gathered data：After inspector scene collects information by Condition Detection instrument, three class numbers can be so generated
According to primary sources are facility information data, and the second class is the Trouble Report generated by mobile phone mobile terminal (if equipment occurs
Failure), the 3rd class audit report；
Data transfer：After this three classes data transfer goes back to data center, hinge list of the data center as whole evaluation system
Position, will be put in storage after data preparation, after arranging storage, if equipment does not break down, then facility information forms equipment health shelves
Case enters file store (tables of data), if inspector have submitted Trouble Report, then data center's meeting analytical equipment information, finds
Really exception has more than detection threshold value, then, Trouble Report and facility information are produced into detailed Trouble Report and submit to decision-making
Layer, now, the abnormal storehouse that Trouble Report adds equipment health account storehouse get up as historical storage；
Data analysis：After Trouble Report is now seen by decision-making level, provide handling suggestion formation handling suggestion report and go back to number
According to center, handling suggestion is transmitted to the mobile phone terminal of Site Detection personnel and the mobile phone terminal of maintainer by data center, now can
A troubleshooting list is generated, this processing is single to produce a timestamp, and this timestamp can trace into maintenance completion always and be
Only；Passage time is stabbed to assess the promptness of work on the spot, handles completeness, is human assessment, and required level of service is assessed, and equipment makes
Supported with life appraisal.After maintainer obtains handling suggestion, into in-situ processing failure, pass through mobile phone terminal after being disposed
Fill in detailed service bulletin.Now therefore the often meeting in processing list generates the timestamp that a maintenance is completed.
Beneficial effects of the present invention are：After body series of the present invention obtain the data of magnanimity, can to the personnel of company, set
The business such as standby, flow, transformer station's operating mode, buying produce new influence, make workflow definitely, more efficient, equipment makes
Increased with the life-span, flow is clearly simple, and operating mode improves, and procurement budget has support, and problem finds that early is the outstanding work of network operation
Tool.Body series are applicable each transformer station, the maintenance of transformer and big data basis, and business may be different, but its structure
All different business chains can be applicable, instruct real work.It is horizontal to improve substation equipment service work, simplifies workflow
Journey, problem is specified, is pinpointed the problems early, Mass Data Management can be produced, therefrom the redundancy technique talent, increase managerial experiences,
Can slave unit to people even to management level can quick response internet development change.
Brief description of the drawings
Fig. 1 is the system flow chart of the present invention.
Fig. 2 is the data analysis figure of the present invention.
Fig. 3 is the facility information storehouse schematic diagram of the present invention.
Fig. 4 is the facility information historical query schematic diagram of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with the accompanying drawings.
A kind of grid equipment state evaluation system as shown in Figure 1, including Hardware Subdivision and software portion, the Hardware Subdivision include
Cloud Server, local terminal PC and Condition Detection instrument, the software portion include the data processing software in terminal PC.
The course of work includes：
(1), gathered data：As illustrated, after inspector scene collects information by Condition Detection instrument, so
Three class data can be generated, primary sources are facility information data, and the second class is the Trouble Report generated by mobile phone mobile terminal
(if equipment failure), the 3rd class audit report；
(2), data transfer：After this three classes data transfer goes back to data center, pivot of the data center as whole evaluation system
Knob unit, it will be put in storage after data preparation, after arranging storage, if equipment does not break down, then facility information forms equipment and is good for
Health archives enter file store (tables of data), if inspector have submitted Trouble Report, then data center's meeting analytical equipment information,
It was found that there is exception to have more than detection threshold value really, then, Trouble Report and facility information are produced into detailed Trouble Report and submitted to
Decision-making level, now, the abnormal storehouse that Trouble Report adds equipment health account storehouse get up as historical storage；
(3), data analysis：As shown in Fig. 2 after Trouble Report is now seen by decision-making level, handling suggestion formation processing is provided
Comments go back to data center, and handling suggestion is transmitted to mobile phone terminal and the maintainer of Site Detection personnel by data center
Mobile phone terminal, a troubleshooting list can be now generated, this processing is single to produce a timestamp, and this timestamp can track always
Untill overhauling and completing；Passage time is stabbed to assess the promptness of work on the spot, is handled completeness, is human assessment, overhauls water
Flat to assess, service life of equipment is assessed and supported.After maintainer obtains handling suggestion, into in-situ processing failure, handle
Detailed service bulletin is filled in by mobile phone terminal after finishing.Now therefore the often meeting in processing list generates the timestamp that a maintenance is completed.
Equipment detection information, audit report, Trouble Report, handling suggestion report, service bulletin, overhaul plan list, equipment
Health account etc..These data store according to three kinds of day, week, moon modes, periodically arrange knot shelves.Data are provided for big data analysis
Sample.
It is horizontal to improve substation equipment service work, simplifies workflow, specifies problem, pinpoint the problems early, can produce
Raw Mass Data Management, therefrom the redundancy technique talent, increases managerial experiences, can slave unit to people or even can to management level
Quick response internet development changes.
Above-described embodiment, simply presently preferred embodiments of the present invention, is not used for limiting the scope of the present invention, therefore all with this
The equivalence changes that content described in invention claim is done, it all should be included within scope of the invention as claimed.
Claims (2)
1. a kind of grid equipment state evaluation system, it is characterised in that including Hardware Subdivision and software portion, the Hardware Subdivision includes cloud
Server, local terminal PC and Condition Detection instrument, the software portion include the data processing software in terminal PC.
A kind of 2. grid equipment state evaluation system according to claim 1, it is characterised in that the job step：
(1) gathered data：After inspector scene collects information by Condition Detection instrument, three class numbers can be so generated
According to primary sources are facility information data, and the second class is the Trouble Report generated by mobile phone mobile terminal (if equipment occurs
Failure), the 3rd class audit report；
(2) data transfer：After this three classes data transfer goes back to data center, hinge list of the data center as whole evaluation system
Position, will be put in storage after data preparation, after arranging storage, if equipment does not break down, then facility information forms equipment health shelves
Case enters file store (tables of data), if inspector have submitted Trouble Report, then data center's meeting analytical equipment information, finds
Really exception has more than detection threshold value, then, Trouble Report and facility information are produced into detailed Trouble Report and submit to decision-making
Layer, now, the abnormal storehouse that Trouble Report adds equipment health account storehouse get up as historical storage；
(3) data analysis：After Trouble Report is now seen by decision-making level, provide handling suggestion formation handling suggestion report and go back to data
Handling suggestion is transmitted to the mobile phone terminal of Site Detection personnel and the mobile phone terminal of maintainer, can now given birth to by center, data center
Into a troubleshooting list, this processing is single to produce a timestamp, untill this timestamp can trace into maintenance completion always；
Passage time is stabbed to assess the promptness of work on the spot, handles completeness, is human assessment, and required level of service is assessed, and equipment uses
Life appraisal supports.After maintainer obtains handling suggestion, into in-situ processing failure, filled out after being disposed by mobile phone terminal
Write detailed service bulletin.Now therefore the often meeting in processing list generates the timestamp that a maintenance is completed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710997325.5A CN107784485A (en) | 2018-01-22 | 2018-01-22 | A kind of grid equipment state evaluation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710997325.5A CN107784485A (en) | 2018-01-22 | 2018-01-22 | A kind of grid equipment state evaluation system |
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| Publication Number | Publication Date |
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| CN107784485A true CN107784485A (en) | 2018-03-09 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710997325.5A Pending CN107784485A (en) | 2018-01-22 | 2018-01-22 | A kind of grid equipment state evaluation system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109784862A (en) * | 2019-01-18 | 2019-05-21 | 云南电网有限责任公司曲靖供电局 | Power equipment management system and equipment |
| CN110472852A (en) * | 2019-08-02 | 2019-11-19 | 上海云扩信息科技有限公司 | A kind of experience assessment implementation management method of electrical power services application |
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| CN102436226A (en) * | 2011-09-14 | 2012-05-02 | 文存润 | Online monitoring and condition maintenance management system |
| CN102663537A (en) * | 2012-03-13 | 2012-09-12 | 凯里供电局 | Maintenance system of power equipment based on risk assessment |
| CN103051494A (en) * | 2012-12-19 | 2013-04-17 | 国家电网公司 | Method and system for comprehensive charged detection of power equipment |
| CN103887794A (en) * | 2014-04-14 | 2014-06-25 | 杭州昊美科技有限公司 | Power distribution network production urgent repair system and method based on Internet of Things |
| CN103942726A (en) * | 2014-03-26 | 2014-07-23 | 国家电网公司 | Intelligent inspection method for condition evaluation work of power grid equipment |
| CN104361419A (en) * | 2014-09-10 | 2015-02-18 | 国家电网公司 | Electric transmission and transformation equipment state monitoring defect management system and method based on regulation and control integration |
| CN106655128A (en) * | 2016-12-27 | 2017-05-10 | 国网浙江省电力公司 | Partial power off control system of distribution network and distribution network system |
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2018
- 2018-01-22 CN CN201710997325.5A patent/CN107784485A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436226A (en) * | 2011-09-14 | 2012-05-02 | 文存润 | Online monitoring and condition maintenance management system |
| CN102426328A (en) * | 2011-11-04 | 2012-04-25 | 山东电力集团公司济宁供电公司 | Capacitive equipment insulation state real-time on-line monitoring method |
| CN102663537A (en) * | 2012-03-13 | 2012-09-12 | 凯里供电局 | Maintenance system of power equipment based on risk assessment |
| CN103051494A (en) * | 2012-12-19 | 2013-04-17 | 国家电网公司 | Method and system for comprehensive charged detection of power equipment |
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| CN104361419A (en) * | 2014-09-10 | 2015-02-18 | 国家电网公司 | Electric transmission and transformation equipment state monitoring defect management system and method based on regulation and control integration |
| CN106655128A (en) * | 2016-12-27 | 2017-05-10 | 国网浙江省电力公司 | Partial power off control system of distribution network and distribution network system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109784862A (en) * | 2019-01-18 | 2019-05-21 | 云南电网有限责任公司曲靖供电局 | Power equipment management system and equipment |
| CN109784862B (en) * | 2019-01-18 | 2023-04-18 | 云南电网有限责任公司曲靖供电局 | Power grid equipment management system and equipment |
| CN110472852A (en) * | 2019-08-02 | 2019-11-19 | 上海云扩信息科技有限公司 | A kind of experience assessment implementation management method of electrical power services application |
| CN110472852B (en) * | 2019-08-02 | 2023-03-03 | 上海云扩信息科技有限公司 | Experience evaluation implementation management method for power service application |
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Application publication date: 20180309 |