CN108537344A - Secondary device intelligence O＆M method based on closed loop information management - Google Patents
Secondary device intelligence O＆M method based on closed loop information management Download PDFInfo
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- G—PHYSICS
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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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- 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 secondary device intelligence O＆M method based on closed loop information management that the invention discloses a kind of, includes the following steps：Step 1：Establish supervisory control of substation Signals Data Base, including corresponding device, signal name, signal source, signal type, signal meaning, correlation signal, producing cause and treatment principle；Step 2：Secondary device typical defect library is established according to available data；Step 3：Establish signal closed-Loop Analysis flow；Step 4：Establish secondary device defect knowledge base closed loop management flow.The present invention is using secondary device operation/maintenance data information as clue, to regulate and control center and substation's two-stage closed loop information management as method, establish intelligent O＆M knowledge base, and accumulation sample is disposed by O＆M, ex-post analysis creation of knowledge data, realize that the automatic defect statistics based on sample database overcomes the defect present in existing means to support secondary device O＆M to change to the initiative of data-driven and preventative O＆M.
Description
Technical field
The present invention relates to power equipments defect analysis and O＆M technical fields, more particularly to a kind of to be based on closed loop information management
Secondary device intelligence O＆M method.
Background technology
Reinforce grid equipment operation management, is to improve the important measures that equipment operation management is horizontal, ensures to keep the safety in production.With
Power grid primary equipment is compared, and state evaluation, defect analysis and the O＆M technical research of secondary device relatively lag behind, knowledge it is wide
Degree and depth all increase by a fairly big margin space, and there are following points：
1) characteristic quantity of reflection secondary device state is few, secondary device method for evaluating state and Strategies of Maintenance and primary equipment
Compared to by bigger difference, secondary device intelligence O＆M technology requires study.
2) PMS systems provide the standard information model of defect statistics, for secondary device and defect type and reason etc.
The modeling needs of factor are further expanded and are refined, and be can be only achieved the intelligent O＆M analysis of support and are required.
3) system sides such as EMS and PMS weight production process monitoring and workflow management examination, are short of to problem analysis method, now
Disposition experience and the excavation of O＆M knowledge store and share, and make the Heuristics of management and running personnel and O＆M service personnel
It is difficult to standardize, systematization, it is difficult to continue.
4) accumulation of the effective sample of defect and failure is insufficient, is unsatisfactory for the demand of O＆M big data technical research and application.
5) secondary device O＆M lacks early warning means in advance, it is difficult to from based on fault warning ex-post analysis disposition
The regular common problems such as identification family defect are automatically analyzed in the defect record of generation, patrolling dimension work foresight and initiative has
It is to be hoisted.
6) secondary device O＆M relies primarily on manual analysis and decision, as secondary operation and maintenance complexity improves,
The analytical judgment of alarm signal reason and influence, defect cause and Disposal Strategies analysis, are required for automatically analyzing for data-driven
Technical support is conducive to operation maintenance personnel accurate Information comprehensively, makes Rational Decision rapidly.
To solve the above problems, project is using secondary device operation/maintenance data information as clue, to regulate and control center and substation two
Grade Dynamic Closed Loop information management is method, research and utilization big data and artificial intelligence technology, strengthens regulation and control staffing decision energy
Power promotes operation maintenance personnel implementation capacity, realizes secondary O＆M from fault warning ex-post analysis to the transformation of early warning defect elimination in advance.
Invention content
In view of this, the object of the present invention is to provide a kind of secondary device intelligence O＆M side based on closed loop information management
Method realizes secondary O＆M from fault warning ex-post analysis to the transformation of early warning defect elimination in advance.
The purpose of the present invention is what is be achieved through the following technical solutions：.
The secondary device intelligence O＆M method based on closed loop information management of the present invention, includes the following steps：
Step 1：Establish supervisory control of substation Signals Data Base, including corresponding device, signal name, signal source, class signal
Type, signal meaning, correlation signal, producing cause and treatment principle；
Step 2：Secondary device typical defect library, including defect type, device type, detection are established according to available data
Means, judgment basis, producer, defect collection of illustrative plates, defect cause and processing scheme；
Step 3：Signal closed-Loop Analysis flow is established, the flow is as follows：Monitoring personnel is according to the monitoring letter received
Number, the reason of signal occurs list is obtained by retrieval and substation's operation maintenance personnel is notified to investigate, scene will investigation result feedback
To monitoring center, if the reason of field results are obtained with retrieval list is inconsistent, regulation and control personnel are in corresponding " the generation original of the signal
In cause " attribute, editor adds new reason text can conclude letter if monitoring personnel does not retrieve associated monitoring signal message
Number content and corresponding producing cause and treatment principle select " addition of signal knowledge ", increase a new monitoring signal newly and record,
Including corresponding device, signal name, signal source, signal type, signal meaning, correlation signal, producing cause and treatment principle；
Step 4：Secondary device defect knowledge base closed loop management flow is established, the flow includes following sub-step as follows：
Step 4.1：Substation's operation maintenance personnel by secondary device failure, defect information occur time, place, specifically set
Standby, equipment account, reason course of emergency, defect type, detection method, site inspection information are summarized by PC terminals is uploaded to fortune
Local platform is tieed up, local fault case library is formed；
Step 4.2：Live O＆M will be uploaded to the data type of monitoring center, including defect equipment class in the selection of the ends PC
Type, equipment manufacturer, defect type, defect cause summarize upload, and monitoring center passes through the arrangement to work log, case library, system
Meter analysis obtains the probability that different defects occur for distinct device, concludes the reason of failure occurs, and establish defect-failure-factor
Correspondence, provide equipment routing inspection priority list；
Step 4.3：The data that monitoring center is concluded are downloaded to PC or intelligent terminal by O＆M scene, in conjunction with substation's O＆M
Defect characteristic factor in defect sample library, based on the Bayesian inference of investigation knowledge inventory and feature, it is existing that identification meets substation
The defect factors priority of field plans patrol task according to factor inventory；
Step 4.4：According to inspection factor inventory, equipment deficiency title and defect cause are fed back by intelligent terminal in scene
To regulation and control center, inspection video recording achieves or evidence obtaining of taking pictures, and regulation and control center forms defect title and reason according to live feedback result
Sample record, the correlation between modifying factor and failure, defect.
Further, the method further includes being analyzed secondary device defect using Intelligent statistical parser, and shape
At in analysis data deposit secondary device typical defect library, following analysis type is specifically included：
(1) Threshold Analysis：According to different detection means diagnostic techniques application directive/guides, analytical equipment defect type；
(2) family's defect：Tabulating equipment defect and fault message, the different model of statistical analysis same producer production, no
The same type shortage probability that same specification, different series occur in operation, identification family defect；
(3) equipment state is evaluated：Equipment state appraisement system is established, is commented based on the foundation of substation equipment state evaluation directive/guide
Estimate rule, forms grade form, received shipment row information, automatic scoring, and assessment equipment state are divided into conjunction with different time scales；
(4) risk assessment：On the basis of equipment state is evaluated, the equipment that evaluation result is abnormal condition is commented
Valence establishes risk evaluation model, considers the probability factor that asset of equipments, loss of assets degree and equipment fault occur, with
Risk caused by qualitative assessment equipment faces and is possible carries out early warning when more than risk assessment directive/guide threshold value.
Further, the method further includes that monitoring center uses defect intelligent analysis process, carries out equipment state key shape
State amount identifies and the information of operation risk pushes, and the equipment state Key state identification is set based on distance correlation identification
Standby failure correlative factor, and dynamic order is carried out to failure relation of variables, identification equipment fault indices find phenomenon and thing
Existing hiding relationship between part, to the corresponding state analysis of distinct device and identification Key state；The letter of the operation risk
Breath push is to combine bad condition and equipment state evaluation result, and analysis calculates a certain region overhaul of the equipments priority at different levels and refers to
Overhaul of the equipments project, maintenance rank, repair time and maintenance order are issued to intelligent terminal, generate patrol plan by mark.
Further, in the step 1, device class includes：220kV transformers, 220kV line-outgoing equipments, 220kV busbares are set
Standby, 110kV transformers, 110kV line-outgoing equipments, 110kV bus equipments, 35kV line-outgoing equipments, 35kV and following section switch,
10kV line-outgoing equipments, capacitor and reactor, arc-extinction device, station local coordinate frame, common equipment, automatic device and failure wave-recording
Device, straight-flow system.
Further, in the step 1, signal type includes：Substation accident signal, interval trouble-signal；The position of the switch
Signal, disconnecting link position signal；Protect fault-signal, protection signal；Reclosing signal；Stability control device exports signal；Once
Equipment fault, alarm signal；Secondary device or loop fault, alarm signal；AC and DC power supply alarm signal in standing；Idle electricity
Voltage-controlled system exits signal；Low-frequency and low-voltage Union Switch Device tripping outlet signal.
The beneficial effects of the invention are as follows：The present invention is using secondary device operation/maintenance data information as clue, to regulate and control center and change
Power station two-stage closed loop information management is method, establishes intelligent O＆M knowledge base, and disposed by O＆M and accumulate sample, subsequent point
Creation of knowledge data are analysed, the automatic defect statistics based on sample database are realized, to support secondary device O＆M to data-driven
Initiative and the transformation of preventative O＆M, overcome the defect present in existing means.
Other advantages, target and the feature of the present invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.The target and other advantages of the present invention can be wanted by following specification and right
Book is sought to realize and obtain.
Description of the drawings
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
The detailed description of one step, wherein：
Fig. 1 is signal closed-Loop Analysis flow chart；
Fig. 2 is knowledge base level framework and flow chart.
Specific implementation mode
Hereinafter reference will be made to the drawings, and the preferred embodiment of the present invention is described in detail.It should be appreciated that preferred embodiment
Only for illustrating the present invention, the protection domain being not intended to be limiting of the invention.
Secondary device intelligence O＆M method based on closed loop information management, includes the following steps：
Step 1：Establish supervisory control of substation Signals Data Base, including corresponding device, signal name, signal source, class signal
Type, signal meaning, correlation signal, producing cause and treatment principle；Wherein, device class includes：220kV transformers, 220kV go out
Line equipment, 220kV bus equipments, 110kV transformers, 110kV line-outgoing equipments, 110kV bus equipments, 35kV line-outgoing equipments,
35kV and following section switch, 10kV line-outgoing equipments, capacitor and reactor, station local coordinate frame, public are set arc-extinction device
Standby, automatic device and fault oscillograph, straight-flow system；Signal type includes：Substation accident signal, interval trouble-signal；It opens
Off position signal, disconnecting link position signal；Protect fault-signal, protection signal；Reclosing signal；Stability control device goes out message
Number；Primary equipment failure, alarm signal；Secondary device or loop fault, alarm signal；AC and DC power supply alarm signal in standing；
Reactive power/voltage control exits signal；Low-frequency and low-voltage Union Switch Device tripping outlet signal.
Step 2：Secondary device typical defect library, including defect type, device type, detection are established according to available data
Means, judgment basis, producer, defect collection of illustrative plates, defect cause and processing scheme；
Step 3：Signal closed-Loop Analysis flow is established, as shown in Figure 1, the flow is as follows：Monitoring personnel foundation receives
Monitoring signal obtains the reason of signal occurs list by retrieval and substation's operation maintenance personnel is notified to investigate, and investigation is tied at scene
Fruit feeds back to monitoring center, if the reason of field results are obtained with retrieval list is inconsistent, regulation and control personnel are corresponding in the signal
In " producing cause " attribute, editor adds new reason text can if monitoring personnel does not retrieve associated monitoring signal message
Signal content and corresponding producing cause and treatment principle are concluded, is selected " addition of signal knowledge ", increases a new monitoring letter newly
Number record, including corresponding device, signal name, signal source, signal type, signal meaning, correlation signal, producing cause and place
Manage principle；
Step 4：Secondary device defect knowledge base closed loop management flow is established, as shown in Fig. 2, the flow includes following
Sub-step：
Step 4.1：Substation's operation maintenance personnel by secondary device failure, defect information occur time, place, specifically set
Standby, equipment account, reason course of emergency, defect type, detection method, site inspection information are summarized by PC terminals is uploaded to fortune
Local platform is tieed up, local fault case library is formed；
Step 4.2：Live O＆M will be uploaded to the data type of monitoring center, including defect equipment class in the selection of the ends PC
Type, equipment manufacturer, defect type, defect cause summarize upload, and monitoring center passes through the arrangement to work log, case library, system
Meter analysis obtains the probability that different defects occur for distinct device, concludes the reason of failure occurs, and establish defect-failure-factor
Correspondence, provide equipment routing inspection priority list；
Step 4.3：The data that monitoring center is concluded are downloaded to PC or intelligent terminal by O＆M scene, in conjunction with substation's O＆M
Defect characteristic factor in defect sample library, based on the Bayesian inference of investigation knowledge inventory and feature, it is existing that identification meets substation
The defect factors priority of field plans patrol task according to factor inventory；
Step 4.4：According to inspection factor inventory, equipment deficiency title and defect cause are fed back by intelligent terminal in scene
To regulation and control center, inspection video recording achieves or evidence obtaining of taking pictures, and regulation and control center forms defect title and reason according to live feedback result
Sample record, the correlation between modifying factor and failure, defect.
It should be noted that this method further includes being analyzed secondary device defect using Intelligent statistical parser,
And formed in analysis data deposit secondary device typical defect library, specifically include following analysis type：
(1) Threshold Analysis：According to different detection means diagnostic techniques application directive/guides, analytical equipment defect type；
(2) family's defect：Tabulating equipment defect and fault message, the different model of statistical analysis same producer production, no
The same type shortage probability that same specification, different series occur in operation, identification family defect；
(3) equipment state is evaluated：Equipment state appraisement system is established, is commented based on the foundation of substation equipment state evaluation directive/guide
Estimate rule, forms grade form, received shipment row information, automatic scoring, and assessment equipment state are divided into conjunction with different time scales；
(4) risk assessment：On the basis of equipment state is evaluated, the equipment that evaluation result is abnormal condition is commented
Valence establishes risk evaluation model, considers the probability factor that asset of equipments, loss of assets degree and equipment fault occur, with
Risk caused by qualitative assessment equipment faces and is possible carries out early warning when more than risk assessment directive/guide threshold value..
In addition, in the present invention, further including that monitoring center uses defect intelligent analysis process, carrying out equipment state key shape
State amount identifies and the information of operation risk pushes, and the equipment state Key state identification is set based on distance correlation identification
Standby failure correlative factor, and dynamic order is carried out to failure relation of variables, identification equipment fault indices find phenomenon and thing
Existing hiding relationship between part, to the corresponding state analysis of distinct device and identification Key state；The letter of the operation risk
Breath push is to combine bad condition and equipment state evaluation result, and analysis calculates a certain region overhaul of the equipments priority at different levels and refers to
Overhaul of the equipments project, maintenance rank, repair time and maintenance order are issued to intelligent terminal, generate patrol plan by mark.
The present invention is realized based on sample data and on-line data analysis, machine on-line study, Risk-warning, auxiliary expert
Commanding and decision-making, O＆M defect elimination.Effective sample accumulation is realized by process optimization and management closed loop, so that knowledge experience is from quiet
State is generated to active development, from dispersion, can not be extended to concentration, can share, can continue, and perfect data-intensive O＆M is determined
Field operation under plan and artificial intelligence support.
Finally illustrate, the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although with reference to compared with
Good embodiment describes the invention in detail, it will be understood by those of ordinary skill in the art that, it can be to the skill of the present invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Right in.
Claims (5)
1. the secondary device intelligence O＆M method based on closed loop information management, it is characterised in that：It the described method comprises the following steps：
Step 1：Establish supervisory control of substation Signals Data Base, including corresponding device, signal name, signal source, signal type,
Signal meaning, correlation signal, producing cause and treatment principle；
Step 2：Establish secondary device typical defect library according to available data, including defect type, device type, detection means,
Judgment basis, producer, defect collection of illustrative plates, defect cause and processing scheme, the knowledge base as monitoring center use；
Step 3：Signal closed-Loop Analysis flow is established, the flow is as follows：Monitoring personnel is led to according to the monitoring signal received
It crosses retrieval to obtain the reason of signal occurs list and substation's operation maintenance personnel is notified to investigate, investigation result is fed back to monitoring by scene
Center, if the reason of field results are obtained with retrieval list is inconsistent, regulation and control personnel belong at the signal corresponding " producing cause "
Property in, editor adds new reason text can conclude signal content if monitoring personnel does not retrieve associated monitoring signal message
And corresponding producing cause and treatment principle, it selects " addition of signal knowledge ", increases a new monitoring signal newly and record, including institute
Belong to equipment, signal name, signal source, signal type, signal meaning, correlation signal, producing cause and treatment principle；
Step 4：Secondary device defect knowledge base closed loop management flow is established, the flow includes following sub-step as follows：
Step 4.1：Substation's operation maintenance personnel by secondary device failure, defect information occur time, place, specific equipment, set
Standby account, reason course of emergency, defect type, detection method, site inspection information are summarized by PC terminals is uploaded to O＆M sheet
Ground platform forms local fault case library；
Step 4.2：Live O＆M will be uploaded to the data type of monitoring center in the selection of the ends PC, including defect device type, set
Standby producer, defect type, defect cause summarize upload, and monitoring center passes through the arrangement to work log, case library, statistical analysis
The probability that different defects occur for distinct device is obtained, concludes the reason of failure occurs, and establish the correspondence of defect-failure-factor
Relationship provides equipment routing inspection priority list；
Step 4.3：The data that monitoring center is concluded are downloaded to PC or intelligent terminal by O＆M scene, in conjunction with substation's O＆M defect
Defect characteristic factor in sample database, based on the Bayesian inference of investigation knowledge inventory and feature, identification meets substation field
Defect factors priority plans patrol task according to factor inventory；
Step 4.4：According to inspection factor inventory, equipment deficiency title and defect cause are fed back to tune by scene by intelligent terminal
Control center, inspection video recording achieves or evidence obtaining of taking pictures, and regulation and control center forms the sample of defect title and reason according to live feedback result
This record, the correlation between modifying factor and failure, defect.
2. the secondary device intelligence O＆M method according to claim 1 based on closed loop information management, it is characterised in that：Institute
The method of stating further includes being analyzed secondary device defect using Intelligent statistical parser, and it is secondary to form analysis data deposit
In equipment typical defect library, following analysis type is specifically included：
(1) Threshold Analysis：According to different detection means diagnostic techniques application directive/guides, analytical equipment defect type；
(2) family's defect：Tabulating equipment defect and fault message, the different model of the same producer's production of statistical analysis, different rule
The same type shortage probability that lattice, different series occur in operation, identification family defect；
(3) equipment state is evaluated：Equipment state appraisement system is established, assessment rule are established based on substation equipment state evaluation directive/guide
Then, grade form is formed, received shipment row information, automatic scoring, and assessment equipment state are divided into conjunction with different time scales；
(4) risk assessment：On the basis of equipment state is evaluated, the equipment that evaluation result is abnormal condition is evaluated,
Risk evaluation model is established, the probability factor that asset of equipments, loss of assets degree and equipment fault occur is considered, with quantitative
Risk caused by assessment equipment faces and is possible carries out early warning when more than risk assessment directive/guide threshold value.
3. the secondary device intelligence O＆M method according to claim 1 or 2 based on closed loop information management, feature exist
In：The method further includes using defect intelligent analysis process, carries out the identification of equipment state Key state and operation risk
Information pushes, and equipment state Key state identification is to be based on distance correlation identification equipment failure correlative factor, and right
Failure relation of variables carries out dynamic order, and identification equipment fault indices find existing hiding relationship between phenomenon and event,
To the corresponding state analysis of distinct device and identification Key state；The information push of the operation risk is to combine bad condition
With equipment state evaluation result, analysis calculates each region overhaul of the equipments priority indicators at different levels, by overhaul of the equipments project, maintenance grade
Not, repair time and maintenance order are issued to intelligent terminal, generate patrol plan.
4. the secondary device intelligence O＆M method according to claim 1 based on closed loop information management, it is characterised in that：Institute
It states in step 1, device class includes：220kV transformers, 220kV line-outgoing equipments, 220kV bus equipments, 110kV transformers,
110kV line-outgoing equipments, 110kV bus equipments, 35kV line-outgoing equipments, 35kV and following section switch, 10kV line-outgoing equipments, electricity
Container and reactor, arc-extinction device, station local coordinate frame, common equipment, automatic device and fault oscillograph, straight-flow system.
5. the secondary device intelligence O＆M method according to claim 1 based on closed loop information management, it is characterised in that：Institute
It states in step 1, signal type includes：Substation accident signal, interval trouble-signal；Switch position signal, disconnecting link position signal；
Protect fault-signal, protection signal；Reclosing signal；Stability control device exports signal；Primary equipment failure, alarm signal；
Secondary device or loop fault, alarm signal；AC and DC power supply alarm signal in standing；Reactive power/voltage control exits signal；Low frequency
Low pressure Union Switch Device tripping outlet signal.
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| CN112749870A (en) * | 2020-10-22 | 2021-05-04 | 国网浙江省电力有限公司龙游县供电公司 | Electric power field operation safety control system and method |
| CN112763960A (en) * | 2021-01-04 | 2021-05-07 | 山东电工电气集团有限公司 | Self-operation and maintenance method of on-site module |
| CN112906389A (en) * | 2021-02-04 | 2021-06-04 | 云南电网有限责任公司昆明供电局 | Fault trip discrimination method based on multi-dimensional data analysis |
| CN113435759A (en) * | 2021-07-01 | 2021-09-24 | 贵州电网有限责任公司 | Primary equipment risk intelligent evaluation method based on deep learning |
| CN113530874A (en) * | 2021-09-17 | 2021-10-22 | 江苏未来智慧信息科技有限公司 | Fan health closed-loop management method and system based on multi-service data intercommunication |
| CN114022120A (en) * | 2021-11-05 | 2022-02-08 | 国网江苏省电力有限公司常州供电分公司 | Intelligent coordination system and method for power grid regulation and control information |
| CN116088398A (en) * | 2023-04-10 | 2023-05-09 | 中国电力工程顾问集团西南电力设计院有限公司 | Be used for wisdom prison dish alarm system of thermal power plant |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050166040A1 (en) * | 2002-12-02 | 2005-07-28 | Walmsley Simon R. | Embedding data and information related to function with which data is associated into a payload |
| CN101697218A (en) * | 2009-10-27 | 2010-04-21 | 武汉理工大学 | Failure model effectiveness analysis knowledge management system and method |
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
| CN103048989A (en) * | 2012-11-29 | 2013-04-17 | 王志欣 | Maintenance information and expert system-based automobile failure diagnosis method |
| CN103259333A (en) * | 2013-03-30 | 2013-08-21 | 国家电网公司 | Intelligent alarming and integrated fault analysis system |
| CN103824340A (en) * | 2014-03-07 | 2014-05-28 | 山东鲁能智能技术有限公司 | Intelligent inspection system and inspection method for electric transmission line by unmanned aerial vehicle |
| CN106199252A (en) * | 2016-06-29 | 2016-12-07 | 武汉广源动力科技有限公司 | A kind of high voltage transducer power unit remote failure diagnosis system |
| CN106503439A (en) * | 2016-10-21 | 2017-03-15 | 国网福建省电力有限公司 | A kind of method of the collection fault early warning system based on data mining |
| CN106655522A (en) * | 2017-02-28 | 2017-05-10 | 中国南方电网有限责任公司 | Master station system suitable for operation and maintenance management of secondary equipment of power grid |
| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
-
2018
- 2018-02-01 CN CN201810103659.8A patent/CN108537344B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050166040A1 (en) * | 2002-12-02 | 2005-07-28 | Walmsley Simon R. | Embedding data and information related to function with which data is associated into a payload |
| CN101697218A (en) * | 2009-10-27 | 2010-04-21 | 武汉理工大学 | Failure model effectiveness analysis knowledge management system and method |
| CN102035260A (en) * | 2010-12-17 | 2011-04-27 | 国电南瑞科技股份有限公司 | Intelligent warning and fault analysis realizing method for intelligent transformer substation monitoring system |
| CN103048989A (en) * | 2012-11-29 | 2013-04-17 | 王志欣 | Maintenance information and expert system-based automobile failure diagnosis method |
| CN103259333A (en) * | 2013-03-30 | 2013-08-21 | 国家电网公司 | Intelligent alarming and integrated fault analysis system |
| CN103824340A (en) * | 2014-03-07 | 2014-05-28 | 山东鲁能智能技术有限公司 | Intelligent inspection system and inspection method for electric transmission line by unmanned aerial vehicle |
| CN106199252A (en) * | 2016-06-29 | 2016-12-07 | 武汉广源动力科技有限公司 | A kind of high voltage transducer power unit remote failure diagnosis system |
| CN106503439A (en) * | 2016-10-21 | 2017-03-15 | 国网福建省电力有限公司 | A kind of method of the collection fault early warning system based on data mining |
| CN106655522A (en) * | 2017-02-28 | 2017-05-10 | 中国南方电网有限责任公司 | Master station system suitable for operation and maintenance management of secondary equipment of power grid |
| CN107203838A (en) * | 2017-05-03 | 2017-09-26 | 北京海顿中科技术有限公司 | Equipment management system |
Cited By (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109389326B (en) * | 2018-11-05 | 2021-05-25 | 国网四川省电力公司 | Monitoring event-oriented object modeling method, device and system |
| CN109389326A (en) * | 2018-11-05 | 2019-02-26 | 国网四川省电力公司 | Objectification modeling method, equipment and system towards monitor event |
| CN109729083A (en) * | 2018-12-27 | 2019-05-07 | 北京奇安信科技有限公司 | Intelligent polling method, device, equipment and medium |
| CN109729083B (en) * | 2018-12-27 | 2022-03-04 | 奇安信科技集团股份有限公司 | Intelligent inspection method, device, equipment and medium |
| CN110247473A (en) * | 2019-03-26 | 2019-09-17 | 国网浙江桐乡市供电有限公司 | A kind of monitoring system exception information shortage probability analysis method |
| CN110378586A (en) * | 2019-07-08 | 2019-10-25 | 国网山东省电力公司菏泽供电公司 | Defect of transformer equipment method for early warning and system based on Dynamic Closed Loop information management |
| CN110378586B (en) * | 2019-07-08 | 2021-11-09 | 国网山东省电力公司菏泽供电公司 | Power transformation equipment defect early warning method and system based on dynamic closed-loop knowledge management |
| CN110688389A (en) * | 2019-08-30 | 2020-01-14 | 国网重庆市电力公司璧山供电分公司 | Transformer substation secondary equipment defect cloud management system |
| CN110688389B (en) * | 2019-08-30 | 2023-04-18 | 国网重庆市电力公司璧山供电分公司 | Cloud management system for defects of secondary equipment of transformer substation |
| CN110782370A (en) * | 2019-10-31 | 2020-02-11 | 国网重庆市电力公司北碚供电分公司 | Comprehensive operation and maintenance management platform for power dispatching data network |
| CN111179112A (en) * | 2019-12-09 | 2020-05-19 | 国网浙江省电力有限公司丽水供电公司 | Transformer substation operation and maintenance assistance and risk management and control system and method |
| CN111682440A (en) * | 2020-06-17 | 2020-09-18 | 贵州电网有限责任公司 | Digital substation inspection method |
| CN111682440B (en) * | 2020-06-17 | 2022-07-01 | 贵州电网有限责任公司 | Digital substation inspection method |
| CN112100926A (en) * | 2020-09-22 | 2020-12-18 | 贵州电网有限责任公司 | Transformer familial defect identification method |
| CN112163188A (en) * | 2020-09-25 | 2021-01-01 | 中国南方电网有限责任公司超高压输电公司柳州局 | Dynamic measurement method and device for position information of disconnecting link |
| CN112749870A (en) * | 2020-10-22 | 2021-05-04 | 国网浙江省电力有限公司龙游县供电公司 | Electric power field operation safety control system and method |
| CN112712230A (en) * | 2020-10-22 | 2021-04-27 | 国网浙江省电力有限公司龙游县供电公司 | Power field operation risk management and control method and system |
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| CN112763960A (en) * | 2021-01-04 | 2021-05-07 | 山东电工电气集团有限公司 | Self-operation and maintenance method of on-site module |
| CN112763960B (en) * | 2021-01-04 | 2022-11-18 | 山东电工电气集团有限公司 | Self-operation and maintenance method of on-site module |
| CN112906389A (en) * | 2021-02-04 | 2021-06-04 | 云南电网有限责任公司昆明供电局 | Fault trip discrimination method based on multi-dimensional data analysis |
| CN112906389B (en) * | 2021-02-04 | 2022-08-26 | 云南电网有限责任公司昆明供电局 | Fault trip discrimination method based on multi-dimensional data analysis |
| CN113435759A (en) * | 2021-07-01 | 2021-09-24 | 贵州电网有限责任公司 | Primary equipment risk intelligent evaluation method based on deep learning |
| CN113530874A (en) * | 2021-09-17 | 2021-10-22 | 江苏未来智慧信息科技有限公司 | Fan health closed-loop management method and system based on multi-service data intercommunication |
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