CN102693514A - Automatic evaluation method for transformer equipment based on equipment risk pre-control and key equipment monitoring - Google Patents

Automatic evaluation method for transformer equipment based on equipment risk pre-control and key equipment monitoring Download PDF

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Publication number
CN102693514A
CN102693514A CN2012101539890A CN201210153989A CN102693514A CN 102693514 A CN102693514 A CN 102693514A CN 2012101539890 A CN2012101539890 A CN 2012101539890A CN 201210153989 A CN201210153989 A CN 201210153989A CN 102693514 A CN102693514 A CN 102693514A
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China
Prior art keywords
equipment
establishing
state
evaluation
data
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Pending
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CN2012101539890A
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Chinese (zh)
Inventor
邓金才
曹敏
谭旻
张志生
尹福荣
邓丽林
张玉龙
杨兴美
李刚
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Puer Supply Power Bureau of Yunnan Power Grid Co Ltd
Yunnan Electric Power Experimental Research Institute Group Co Ltd of Electric Power Research Institute
Kunming Enersun Technology Co Ltd
Original Assignee
Puer Supply Power Bureau of Yunnan Power Grid Co Ltd
Yunnan Electric Power Experimental Research Institute Group Co Ltd of Electric Power Research Institute
Kunming Enersun Technology Co Ltd
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Application filed by Puer Supply Power Bureau of Yunnan Power Grid Co Ltd, Yunnan Electric Power Experimental Research Institute Group Co Ltd of Electric Power Research Institute, Kunming Enersun Technology Co Ltd filed Critical Puer Supply Power Bureau of Yunnan Power Grid Co Ltd
Priority to CN2012101539890A priority Critical patent/CN102693514A/en
Publication of CN102693514A publication Critical patent/CN102693514A/en
Pending legal-status Critical Current

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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

An automatic evaluation method for transformer equipment based on equipment risk pre-control and key equipment monitoring includes steps: (1) establishing an evaluation analysis scoring set for the transformer equipment; (2) establishing an equipment state evaluation database list; (3) extracting data of equipment risk pre-control and key-point equipment monitoring from an equipment manufacture system; (4) establishing an equipment evaluation analysis calculation formula; (5) automatically scoring the transformer equipment based on equipment state scoring according to operation data such as data of equipment risk pre-control and key-point equipment monitoring; (6) establishing an equipment grading mechanism corresponding to the equipment scoring results; and (7) completing equipment automatic evaluation by combing the equipment scoring results with the equipment grading mechanism corresponding to the equipment scoring results. Since equipment evaluation is automatically completed, the automatic evaluation method for the transformer equipment based on the equipment risk pre-control and the key-point equipment monitoring is quick in evaluation speed, short in period and strong in objectivity, and each evaluation is based on the operation data.

Description

A kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools
Technical field
The present invention relates to the electricity grid substation appraisal of equipment, particularly relate to a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools.
Background technology
The safe operation of power transmission and transforming equipment is the basis of building strong electrical network, and the life-cycle periodic process through equipment is leaned in the safety management of equipment.Carry out the converting equipment appraisal, making full use of and estimating achievement is to strengthen an important process of electrical network production management.Timing node according to the input coefficient operation is divided into the preceding evaluation that puts into operation, evaluation in service, technological transformation postevaluation with appraisal of equipment at present.Wherein operating evaluation is to the equipment evaluation that day-to-day operation control situation in back carries out that puts into operation, and comprises that defective exposes situation, the multiple position of defective, defective and eliminates situation, periodically repaiies problem that problem, technical supervision that inspection finds to handle find and handle etc.Fundamental purpose is to find safety case and operational management and technical supervision and the quality control of overhaul management aspect of equipment in the operational process, Specifeca tion speeification situation of change, standardization administrative situation etc.
Equipment state is estimated as in the operation of power networks work indispensable one, and there is diversity in the evaluation aspect, thereby but all is the method that reaches the valuator device state grade with problem, defective evaluation that artificial hairdo comes out to equipment generally in the past.Usually adopt grid company inside from top to bottom, from bottom to top, the method for Comprehensive Assessment, a series of flow processs such as estimate plan, the plan of issuing, operations staff's evaluation, leader are examined, company examines.Exist evaluation cycle long, problems such as artificial subjective influence factor height.
A kind of based on the equipment risk control in advance, the appraisal of equipment method of equipment operating data and variation constantly takes place based on device history service data, historical accident in the substation equipment automatic evaluation method of emphasis monitoring of tools.Operation conditions to equipment possibly exist is carried out weight, grade classification; Apparatus for establishing is estimated score value collection and scoring algorithm; The automatic acquisition equipment history data also carries out intelligence by the computing machine powerful computing ability to equipment and gives a mark, thereby realizes the automatic Evaluation to equipment state.Different with common appraisal of equipment method, a kind of based on the equipment risk control in advance, that the substation equipment automatic evaluation method of emphasis monitoring of tools possesses the cycle is short, it is the advantage of foundation that every evaluation all has service data.
Therefore provide based on the equipment risk control in advance, the substation equipment intelligence evaluation method of emphasis monitoring of tools historical data is novelty solution in this area.
Summary of the invention
To present equipment state evaluation all is artificial the completion; The subjective factor that requires a great deal of time and exist; To be solved by this invention be Automatic Extraction equipment defective, accident, patrol and examine history datas such as data, live testing, infrared measurement of temperature, and combine evaluation rule realize a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools: guarantee that evaluation result all is that the ruuning situation around equipment, the equipment operating data when historical failure takes place are realized intelligence evaluation; Guarantee that evaluation result is objective and basis is arranged.
The present invention is based on the substation equipment evaluation method that historical data extracts, it is characterized in that concrete step is following:
1) sets up substation equipment analysis and assessment score value collection, i.e. equipment state score value collection S={s 1, s 2S i;
2) apparatus for establishing state evaluation database uses this storehouse to preserve that equipment risk is controlled in advance, emphasis monitoring of tools data, comprises that service data, appraisal of equipment result etc. constantly take place for device history service data, equipment breakdown;
3) in the slave unit production system extracting device risk control in advance, emphasis monitoring of tools data, comprised historical defective, historical accident, patrolled and examined data, live testing, infrared measurement of temperature;
4) apparatus for establishing evaluation analysis computing formula is promptly set up the corresponding score value collection K={k of relative history data 1, k 2K i;
5) according to the equipment risk control in advance, equipment operating data such as emphasis monitoring of tools, bonding apparatus state score value is marked to converting equipment;
6) apparatus for establishing appraisal result corresponding device opinion rating mechanism;
7) the equipment appraisal result combines appraisal result corresponding device opinion rating mechanism completion equipment automatic Evaluation.
We are bright be a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools, it is characterized in that said to set up substation equipment analysis and assessment scoring set content following:
1) influence degree of apparatus for establishing health status.According to the equipment state amount influence degree of equipment health status is set up weight rank collection H={h 1, h 2H i, corresponding different weight coefficient collection Q={q 1, q 2Q i.
2) the deterioration order of severity of apparatus for establishing quantity of state.Set up degradation collection R={r according to the deterioration order of severity of each quantity of state 1, r 2R i, corresponding different deduction of points score value collection V={v 1, v 2V i.
3) apparatus for establishing state score value collection S={s 1, s 2S i.Equipment state should the deduction of points value be determined jointly by quantity of state weight and degradation that the weight Q coefficient that deduction of points value S equals quantity of state multiply by score value R, i.e. { s 1, s 2S i}={ q 1* v 1, q 1* v 2... Q i* v 1Q i* v i.
We are bright be a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools, it is characterized in that said apparatus for establishing evaluation analysis computing formula thes contents are as follows:
1) sets up the index storehouse B={b that each operation result influence is marked 1, b 2B iB t, comprise operation action, weight q that influence is marked i, score value v that degradation is corresponding i
2) set up scoring, the content in operation history data in the retrieval index storehouse is marked, if any corresponding historical data, then s i=q i* v i, otherwise s i=0; Equipment appraisal result S=∑ s i, wherein i is 0 to t-1.
Description of drawings
Fig. 1 is the substation equipment evaluation method process flow diagram that our Benq extracts in historical data.
Embodiment
For the technological means, the creation characteristic that make our bright realization, reach purpose and effect and be easy to understand and understand, it is bright further to set forth we below in conjunction with concrete diagram.
We are bright to be that service data extracts when taking place through converting equipment history data, historical failure, with its historical data bonding apparatus and code of points, realizes the method to the substation equipment automatic Evaluation.The appraisal of equipment of this method is accomplished with intelligent method, and it is short to estimate the speed fast period, and objectivity is strong, and each marking all has the advantage of basis.
It is mainly accomplished the converting equipment history data and extracts, and comprises historical defective, historical accident, patrols and examines data, live testing, infrared measurement of temperature, device fails all service datas constantly; Apparatus for establishing is estimated the score value collection, appraisal of equipment intelligent scoring formula, model, equipment appraisal result corresponding device opinion rating mechanism; In conjunction with historical data equipment is marked,, converting equipment is realized state evaluation through equipment appraisal result corresponding device opinion rating mechanism.
Based on above-mentioned purpose; The bright main flow process of we is as shown in Figure 1, through 1) apparatus for establishing rating database, 2) apparatus for establishing estimates score value collection, 3) and in the slave unit production system extracting device risk control in advance, emphasis monitoring of tools data, 4) apparatus for establishing evaluation calculation formula, model, 5) equipment state intelligence estimates, 6) apparatus for establishing appraisal result corresponding device opinion rating mechanism, 7) the equipment appraisal result combines appraisal result corresponding device opinion rating mechanism to accomplish appraisal of equipment.
Wherein 1) the apparatus for establishing rating database mainly is responsible for depositing history data, appraisal of equipment score value collection, the appraisal of equipment result set that the converting equipment evaluation needs.Comprise historical defective, historical accident, patrol and examine data, live testing, infrared measurement of temperature, the device fails table that all devices risk is controlled in advance, emphasis monitoring of tools data are preserved needs such as service data constantly.
2) apparatus for establishing is estimated the concrete division of accomplishing definite appraisal of equipment score value weight, grade of score value collection, and forms the score value collection:
The influence degree of apparatus for establishing health status.According to the equipment state amount influence degree of equipment health status is set up weight rank collection H={h 1, h 2H i, corresponding different weight coefficient collection Q={q 1, q 2Q i.
The deterioration order of severity of apparatus for establishing quantity of state.Set up degradation collection R={r according to the deterioration order of severity of each quantity of state 1, r 2R i, corresponding different deduction of points score value collection V={v 1, v 2V i.
Apparatus for establishing state score value collection S={s 1, s 2S i.Equipment state should the deduction of points value be determined jointly by quantity of state weight and degradation that the weight Q coefficient that deduction of points value S equals quantity of state multiply by score value R, i.e. { s 1, s 2S i}={ q 1* v 1, q 1* v 2... Q i* v 1Q i* v i.
3) the extracting device risk is controlled in advance in the extracting device production system, emphasis monitoring of tools data run historical data accomplishes and from each operational system of transformer station, to extract historical data and be deposited into 1) in the database built up.
4) apparatus for establishing evaluation calculation formula, model, specific as follows:
Set up the index storehouse B={b of each operation result influence scoring 1, b 2B iB t, comprise operation action, weight q that influence is marked i, score value v that degradation is corresponding i
Set up scoring, the content in operation history data in the retrieval index storehouse is marked, if any corresponding historical data, then s i=q i* v i, otherwise s i=0; Equipment appraisal result S=∑ s i, wherein i is 0 to t-1.
5) equipment state intelligence is estimated and is accomplished equipment operating data bonding apparatus scoring algorithm, score value set pair equipment is accomplished intelligent scoring.
6) apparatus for establishing appraisal result corresponding device opinion rating mechanism.
7) the equipment appraisal result combines the corresponding damage sequence reference table of appraisal result to carry out damage sequence to estimate in advance.

Claims (3)

  1. One kind based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools, it is characterized in that concrete realization flow is following:
    1) sets up substation equipment analysis and assessment score value collection, i.e. equipment state score value collection S={s 1, s 2S i;
    2) apparatus for establishing state evaluation database uses this storehouse to preserve that equipment risk is controlled in advance, emphasis monitoring of tools data, comprises that service data, appraisal of equipment result constantly take place for device history service data, equipment breakdown;
    3) in the slave unit production system Automatic Extraction equipment risk control in advance, emphasis monitoring of tools data, comprised historical defective, historical accident, patrolled and examined data, live testing, infrared measurement of temperature;
    4) apparatus for establishing evaluation analysis computing formula is promptly set up the corresponding score value collection K={k of relative history data 1, k 2K i;
    5) according to the equipment risk control in advance, equipment operating data such as emphasis monitoring of tools, bonding apparatus state score value is marked to converting equipment;
    6) apparatus for establishing appraisal result corresponding device opinion rating mechanism;
    7) the equipment appraisal result combines appraisal result corresponding device opinion rating mechanism completion equipment automatic Evaluation.
  2. According to claims 1 described a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools, it is characterized in that, saidly set up substation equipment analysis and assessment scoring collection as follows:
    1) influence degree of apparatus for establishing health status.According to the equipment state amount influence degree of equipment health status is set up weight rank collection H={h 1, h 2H i, corresponding different weight coefficient collection Q={q 1, q 2Q i;
    2) the deterioration order of severity of apparatus for establishing quantity of state.Set up degradation collection R={r according to the deterioration order of severity of each quantity of state 1, r 2R i, corresponding different deduction of points score value collection V={v 1, v 2V i;
    3) apparatus for establishing state score value collection S={s 1, s 2S i; Equipment state should the deduction of points value be determined jointly by quantity of state weight and degradation that the weight Q coefficient that deduction of points value S equals quantity of state multiply by score value R, i.e. { s 1, s 2S i}={ q 1* v 1, q 1* v 2... Q i* v 1Q i* v i.
  3. According to claims 1 described a kind of based on the equipment risk control in advance, the substation equipment automatic evaluation method of emphasis monitoring of tools, it is characterized in that said apparatus for establishing evaluation analysis computing formula is following:
    1) sets up the index storehouse B={b that each operation result influence is marked 1, b 2B iB t, comprise operation action, weight q that influence is marked i, score value v that degradation is corresponding i
    2) set up scoring, the content in operation history data in the retrieval index storehouse is marked, if any corresponding historical data, then s i=q i* v i, otherwise s i=0; Equipment appraisal result S=∑ s i, wherein i is 1 to t.
CN2012101539890A 2012-05-17 2012-05-17 Automatic evaluation method for transformer equipment based on equipment risk pre-control and key equipment monitoring Pending CN102693514A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136709A (en) * 2013-03-19 2013-06-05 云南电网公司 Typical fault tree evaluation method based on grid equipment
CN103198434A (en) * 2013-03-11 2013-07-10 昆明能讯科技有限责任公司 Novel power grid equipment condition evaluation method
CN103413249A (en) * 2013-06-28 2013-11-27 广东电网公司茂名供电局 Transformer substation equipment state assessment method based on computational formula
CN104361236A (en) * 2014-11-17 2015-02-18 国家电网公司 Evaluation method for health condition of electric power equipment
CN104463708A (en) * 2014-12-15 2015-03-25 广东电网有限责任公司电力科学研究院 Power equipment defect fast grading method

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CN101859409A (en) * 2010-05-25 2010-10-13 广西电网公司电力科学研究院 Power transmission and transformation equipment state overhauling system based on risk evaluation
CN102063657A (en) * 2010-12-23 2011-05-18 中国电力科学研究院 Operating level and power supplying capability evaluation method for urban electric distribution network
CN102074956A (en) * 2011-02-11 2011-05-25 华北电网有限公司 Power grid risk management method and system
CN102222276A (en) * 2011-05-16 2011-10-19 广东电网公司深圳供电局 State maintenance method and device for secondary equipment of power grid
CN202121322U (en) * 2011-03-23 2012-01-18 中国电力科学研究院 Urban power grid risk assessment model generating device
CN102324068A (en) * 2011-08-31 2012-01-18 广东省电力调度中心 Power secondary equipment risk assessment method and system thereof
CN102629364A (en) * 2012-03-13 2012-08-08 凯里供电局 Quantitative scoring method of power equipment state
CN102663537A (en) * 2012-03-13 2012-09-12 凯里供电局 Maintenance system of power equipment based on risk assessment

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101859409A (en) * 2010-05-25 2010-10-13 广西电网公司电力科学研究院 Power transmission and transformation equipment state overhauling system based on risk evaluation
CN102063657A (en) * 2010-12-23 2011-05-18 中国电力科学研究院 Operating level and power supplying capability evaluation method for urban electric distribution network
CN102074956A (en) * 2011-02-11 2011-05-25 华北电网有限公司 Power grid risk management method and system
CN202121322U (en) * 2011-03-23 2012-01-18 中国电力科学研究院 Urban power grid risk assessment model generating device
CN102222276A (en) * 2011-05-16 2011-10-19 广东电网公司深圳供电局 State maintenance method and device for secondary equipment of power grid
CN102324068A (en) * 2011-08-31 2012-01-18 广东省电力调度中心 Power secondary equipment risk assessment method and system thereof
CN102629364A (en) * 2012-03-13 2012-08-08 凯里供电局 Quantitative scoring method of power equipment state
CN102663537A (en) * 2012-03-13 2012-09-12 凯里供电局 Maintenance system of power equipment based on risk assessment

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198434A (en) * 2013-03-11 2013-07-10 昆明能讯科技有限责任公司 Novel power grid equipment condition evaluation method
CN103136709A (en) * 2013-03-19 2013-06-05 云南电网公司 Typical fault tree evaluation method based on grid equipment
CN103413249A (en) * 2013-06-28 2013-11-27 广东电网公司茂名供电局 Transformer substation equipment state assessment method based on computational formula
CN104361236A (en) * 2014-11-17 2015-02-18 国家电网公司 Evaluation method for health condition of electric power equipment
CN104361236B (en) * 2014-11-17 2018-02-13 国家电网公司 The appraisal procedure of power equipment health status
CN104463708A (en) * 2014-12-15 2015-03-25 广东电网有限责任公司电力科学研究院 Power equipment defect fast grading method

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Application publication date: 20120926