CN103942726A - Intelligent inspection method for condition evaluation work of power grid equipment - Google Patents
Intelligent inspection method for condition evaluation work of power grid equipment Download PDFInfo
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- CN103942726A CN103942726A CN201410115560.1A CN201410115560A CN103942726A CN 103942726 A CN103942726 A CN 103942726A CN 201410115560 A CN201410115560 A CN 201410115560A CN 103942726 A CN103942726 A CN 103942726A
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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
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- 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 relates to the technical field of computer application, in particular to an intelligent inspection method for condition evaluation work of power grid equipment. The intelligent inspection method is applied to a PMS on the basis of equipment condition evaluation results and the correlation between parameters. The method includes the steps of checking whether the demand for evaluation work time limit is met, and checking state quantity description, diagnostic analysis, overhaul decision accuracy, the correlation and consistency between all the parameters and the like. On the premise that the evaluation results, overhaul strategies and other links are accurate, tasks can be automatically and quickly completed, and the working efficiency can be obviously improved. Through automatic acquisition and unified management of data of the PMS, check missing and other situations in the manual checking process are avoided, the time for data handling, data query and data modification which equipment is responsible for is greatly shortened, and the intelligent inspection method provides a more comprehensive, accurate and efficient solution for operation related to all services in a power grid equipment condition maintenance mode.
Description
Technical field
The present invention relates to Computer Applied Technology field, relate in particular to grid equipment state evaluation work intelligent checking method.The specifically senior application of power transmission and transformation equipment state evaluation and decision system, the especially intelligent checking method that is applied to production management system (PMS) based on equipment state evaluation result and parameter association.
Background technology
Grid equipment repair based on condition of component is a kind of according to T&D facility real-time status, dynamic maintenance model, need to, grasping under the information prerequisites such as information before putting equipment in service, ruuning situation, failure condition, test figure, on-line monitoring number, formulate a kind of maintenance model of the scheme of overhauling flexibly.Repair based on condition of component core work is equipment state evaluation, has clearly specified the contents such as scope, foundation, action, maintenance decision, job requirement and work timing, evaluation and the examination of grid equipment state evaluation in State Grid Corporation of China's company standard " grid equipment state evaluation working stamndard ".But current state service work efficiency is not high, its main cause has: basis is numerous and diverse, power system device is numerous and scale enlargement is rapid, PMS user's professional skill is uneven etc.
At present, in production management system PMS, in equipment resume, multinomial data still have more mistake, show as state evaluation result and defect typing, test report, maintenance decision suggestion relevance is poor, repair time, maintenance decision suggestion are not inconsistent with evaluation result, the problems such as maintenance classification and evaluation result are not inconsistent, need a kind of senior application that can carry out fast, verify easily and proofread and correct state evaluation work overall process badly.
Summary of the invention
For overcoming the defect existing in prior art, the invention provides a kind of grid equipment state evaluation work intelligent checking method, object is the senior application that can carry out fast, verify easily and proofread and correct state evaluation work overall process that is applied to production management system PMS, adopt intelligent checking method, ensureing that evaluation result, the each link of Strategies of Maintenance are accurately under prerequisite, automatically, finish the work fast, increase work efficiency.
For achieving the above object, the technical solution adopted in the present invention is:
Grid equipment state evaluation work intelligent checking method, comprises following content:
(1) can carry out indifference verification to armamentarium, or select certain equipment to carry out emphasis verification;
(2) can introduce great guarantor power supply, meet the kurtosis summer, meet the particular times such as kurtosis winter and familial defect, the parameter such as bad condition, verify content more comprehensively, more scientific;
(3) the required verification data of auto-associating from production management system (PMS);
(4) can be required to meet situation to the appraisal time limit, verify relevance, consistance etc. between quantity of state description, diagnostic analysis, maintenance decision accuracy and each parameter and verify;
(5) can identify not meeting the regular data of verification, and provide correct amending advice;
(6) can carry out statistical study to company of prefectures and cities misdata according to verifying result, calculate error rate, type of error etc., and to its rank, and to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme;
(7) rectification content can be fed back, for not meeting rule, actual correct equipment again, list separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works.
Described method step is as follows:
Step S101: according to plan, select the device type of required verification;
Step S102: set great guarantor's power supply, meet the kurtosis summer, meet the particular time time datas such as kurtosis winter and import familial defect device databases, bad condition database;
Step S103: check device obtains desired data from PMS;
Step S104: verify this equipment dynamic evaluation report typing situation, if there is no dynamic evaluation report, according to the putting into operation the date of this equipment in PMS, verify this equipment and whether put into operation and exceed 3 months; If do not exceed 3 months, the information that the device first that puts into operation to making new advances is evaluated; If exceed 3 months, provide error message and amending advice;
Step S105: the error message providing for step S104, S107, S109, S110, S111, S112, all provide detailed error reason analysis, and provide correct amending advice according to preset value, alleviate artificial judgment labor capacity;
Step S106: the message providing for step S105, step S109 and amending advice deposit database in and with data form form storage abridged table;
Step S107: for there being dynamic evaluation report situation in step S104, whether the verification equipment dynamic evaluation time limit transfinites, and carries out step S105 as transfinited; Basis for estimation is: (1) according to familial defective data library facilities issuing time in step S102, verifies same factory, homotype, same period equipment and issues in 2 weeks, whether to carry out dynamic evaluation in familial defect; (2), according to bad condition database in step S102, verify and stand bad condition equipment whether standing to complete bad condition evaluation after bad condition in 2 weeks; (3), according to great guarantor's power-on time data in step S102, verify great guarantor and whether before great guarantor's power supply activity starts, within 2 months, complete for special evaluation of electrical activity; (4), according to meeting the kurtosis summer in step S102, meeting kurtosis winter time data, verify electrical network and meet the kurtosis summer, meet special evaluation of kurtosis winter and whether before complete by the end of April and by the end of September respectively; (5), according to PMS, after verification equipment A, B, the maintenance of C class, in 2 weeks, whether complete dynamic evaluation;
Step S108: whether verification equipment evaluation result is " normal condition ", if judgement is " normal condition ", enters step S109, otherwise enters step S110;
Step S109: for the verification result of step S108, S112, appraisal report integrality is verified, the project failing to fill in is identified, and enter step S105; Enter step S106 for complete appraisal report;
Step S110: press part of appliance verification quantity of state and whether correctly describe, whether abnormal, the defect of complete documentation source book, run book, maintenance data and homotype or same category of device and failure condition, running environment variation, anti-accident measures implementation of conditions sake of clarity, identify and enter step S105 for error field;
Step S111: whether correctly verify diagnostic analysis field, verify family's defect, operation and patrol and examine, test quantity of state title of all categories, deduction of points, basis for estimation and whether correctly describe, identify and enter step S105 for error field;
Step S112: whether correctly verify maintenance decision field, whether correctly verify repair time, maintenance classification, maintenance relevance, identify and enter step S105 for error field;
Step S113: according to verifying result, company of prefectures and cities misdata is carried out to statistical study, calculate error rate, type of error etc., and to its rank; If desired, to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme;
Step S114: result is issued, rectification; Rectification content is fed back, for not meeting rule, actual correct equipment again, listed separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works;
Step S115: feedback rectification content, and again verify according to above step.
Described source book, comprising: nameplate parameter, type-test report, commissioning test report.
Described run book, comprising: operating condition record, defect and exception record, patrol record, band electro-detection and on-line monitoring record.
Described maintenance data, comprises control: record of examination, test report, equipment technological transformation overhaul.
Advantage of the present invention and effect are:
Can see from the embodiment of the present invention, by the automatic acquisition to production management system PMS data, and unified management, avoid occurring the situations such as under-enumeration in manually verification process, greatly save data preparation, inquiry and the modification time of equipment specific responsibility, the check method providing is more comprehensive with respect to prior art, not only can verify defect typing and appraisal report, relevance with maintenance task, verify evaluation result and repair time, maintenance classification, the relevance of maintenance decision, can also be to definite value in each quantity of state and state description, outward appearance, running status and the same period, same factory, homotype, to the main cause in diagnostic analysis and venture analysis, to the time in maintenance decision, classification, the accuracy of the parameter fields such as content, consistance, relevance is verified and verify check, establish the senior application foundation of PMS, for each business association operation under grid equipment Maintenance Mode provides more comprehensive, accurate and efficient solution.
The inventive method is the senior application that can carry out fast, verify easily and proofread and correct state evaluation work overall process that is applied to production management system PMS, comprise: the verification appraisal time limit is required to meet situation, verify relevance, consistance etc. between quantity of state description, diagnostic analysis, maintenance decision accuracy and each parameter.Adopt intelligent checking method, ensureing that evaluation result, the each link of Strategies of Maintenance are accurately under prerequisite, can be automatically, finish the work fast, increase work efficiency.
Brief description of the drawings
Below in conjunction with the drawings and specific embodiments, the present invention will be further described in detail.
Fig. 1 is workflow diagram of the present invention.
Embodiment
As shown in Figure 1, the present invention is a kind of grid equipment state evaluation work intelligent checking method, comprises following content:
(1) can carry out indifference verification to armamentarium, or select certain equipment to carry out emphasis verification;
(2) can introduce great guarantor power supply, meet the kurtosis summer, meet the particular times such as kurtosis winter and familial defect, the parameter such as bad condition, verify content more comprehensively, more scientific;
(3) the required verification data of auto-associating from production management system (PMS);
(4) can be required to meet situation to the appraisal time limit, verify relevance, consistance etc. between quantity of state description, diagnostic analysis, maintenance decision accuracy and each parameter and verify;
(5) can identify not meeting the regular data of verification, and provide correct amending advice;
(6) can carry out statistical study to company of prefectures and cities misdata according to verifying result, calculate error rate, type of error etc., and to its rank, and to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme;
(7) rectification content can be fed back, for not meeting rule, actual correct equipment again, list separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works.
Embodiment 1:
The step of grid equipment state evaluation work intelligent checking method is as follows:
Step S101: according to plan, select the device type of required verification.
Step S102: set great guarantor's power supply, meet the kurtosis summer, meet the particular time time datas such as kurtosis winter and import familial defect device databases, bad condition database.
Step S103: check device obtains desired data from PMS.
Step S104: verify this equipment dynamic evaluation report typing situation, if there is no dynamic evaluation report, according to the putting into operation the date of this equipment in PMS, verify this equipment and whether put into operation and exceed 3 months.If do not exceed 3 months, the information that the device first that puts into operation to making new advances is evaluated; If exceed 3 months, provide error message and amending advice.
Step S105: the error message providing for step S104, S107, S109, S110, S111, S112, all provide detailed error reason analysis, and provide correct amending advice according to preset value, alleviate artificial judgment labor capacity.
Step S106: the message providing for step S105, step S109 and amending advice deposit database in and with data form form storage abridged table.
Step S107: for there being dynamic evaluation report situation in step S104, whether the verification equipment dynamic evaluation time limit transfinites, and carries out step S105 as transfinited.Basis for estimation is: (1) according to familial defective data library facilities issuing time in step S102, verifies same factory, homotype, same period equipment and issues in 2 weeks, whether to carry out dynamic evaluation in familial defect; (2), according to bad condition database in step S102, verify and stand bad condition equipment whether standing to complete bad condition evaluation after bad condition in 2 weeks; (3), according to great guarantor's power-on time data in step S102, verify great guarantor and whether before great guarantor's power supply activity starts, within 2 months, complete for special evaluation of electrical activity; (4), according to meeting the kurtosis summer in step S102, meeting kurtosis winter time data, verify electrical network and meet the kurtosis summer, meet special evaluation of kurtosis winter and whether before complete by the end of April and by the end of September respectively; (5), according to PMS, after verification equipment A, B, the maintenance of C class, in 2 weeks, whether complete dynamic evaluation.
Step S108: whether verification equipment evaluation result is " normal condition ", if judgement is " normal condition ", enters step S109, otherwise enters step S110.
Step S109: for the verification result of step S108, S112, appraisal report integrality is verified, the project failing to fill in is identified, and enter step S105; Enter step S106 for complete appraisal report.
Step S110: press part of appliance verification quantity of state and whether correctly describe, whether abnormal, the defect of complete documentation source book, run book, maintenance data and homotype or same category of device and failure condition, running environment variation, anti-accident measures implementation of conditions sake of clarity, identify and enter step S105 for error field.
Described source book comprises: nameplate parameter, type-test report, commissioning test report etc.
Described run book comprises: operating condition record, defect and exception record, patrol record, band electro-detection and on-line monitoring record.
Described maintenance data comprises: controlling: service bulletin, test report, equipment technological transformation and critical piece are changed situation.
Step S111: whether correctly verify diagnostic analysis field, verify family's defect, operation and patrol and examine, test quantity of state title of all categories, deduction of points, basis for estimation and whether correctly describe, identify and enter step S105 for error field.
Step S112: whether correctly verify maintenance decision field, whether correctly verify repair time, maintenance classification, maintenance relevance, identify and enter step S105 for error field.
Step S113: according to verifying result, company of prefectures and cities misdata is carried out to statistical study, calculate error rate, type of error etc., and to its rank.If desired, to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme.
Step S114: result is issued, rectification.Rectification content is fed back, for not meeting rule, actual correct equipment again, listed separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works.
Step S115: feedback rectification content, and again verify according to above step.
Above-mentioned embodiment is the preferred embodiments of the present invention; can not limit the present invention; can determine concrete embodiment according to technical scheme of the present invention and actual conditions; other any change or other equivalent substitute mode of making for deviating from technical scheme of the present invention, within being included in protection scope of the present invention.
Claims (5)
1. grid equipment state evaluation work intelligent checking method, is characterized in that: comprise following content:
(1) can carry out indifference verification to armamentarium, or select certain equipment to carry out emphasis verification;
(2) can introduce great guarantor power supply, meet the kurtosis summer, meet the particular times such as kurtosis winter and familial defect, the parameter such as bad condition, verify content more comprehensively, more scientific;
(3) the required verification data of auto-associating from production management system (PMS);
(4) can be required to meet situation to the appraisal time limit, verify relevance, consistance etc. between quantity of state description, diagnostic analysis, maintenance decision accuracy and each parameter and verify;
(5) can identify not meeting the regular data of verification, and provide correct amending advice;
(6) can carry out statistical study to company of prefectures and cities misdata according to verifying result, calculate error rate, type of error etc., and to its rank, and to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme;
(7) rectification content can be fed back, for not meeting rule, actual correct equipment again, list separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works.
2. grid equipment state evaluation work intelligent checking method according to claim 1, is characterized in that: described method step is as follows:
Step S101: according to plan, select the device type of required verification;
Step S102: set great guarantor's power supply, meet the kurtosis summer, meet the particular time time datas such as kurtosis winter and import familial defect device databases, bad condition database;
Step S103: check device obtains desired data from PMS;
Step S104: verify this equipment dynamic evaluation report typing situation, if there is no dynamic evaluation report, according to the putting into operation the date of this equipment in PMS, verify this equipment and whether put into operation and exceed 3 months; If do not exceed 3 months, the information that the device first that puts into operation to making new advances is evaluated; If exceed 3 months, provide error message and amending advice;
Step S105: the error message providing for step S104, S107, S109, S110, S111, S112, all provide detailed error reason analysis, and provide correct amending advice according to preset value, alleviate artificial judgment labor capacity;
Step S106: the message providing for step S105, step S109 and amending advice deposit database in and with data form form storage abridged table;
Step S107: for there being dynamic evaluation report situation in step S104, whether the verification equipment dynamic evaluation time limit transfinites, and carries out step S105 as transfinited; Basis for estimation is: (1) according to familial defective data library facilities issuing time in step S102, verifies same factory, homotype, same period equipment and issues in 2 weeks, whether to carry out dynamic evaluation in familial defect; (2), according to bad condition database in step S102, verify and stand bad condition equipment whether standing to complete bad condition evaluation after bad condition in 2 weeks; (3), according to great guarantor's power-on time data in step S102, verify great guarantor and whether before great guarantor's power supply activity starts, within 2 months, complete for special evaluation of electrical activity; (4), according to meeting the kurtosis summer in step S102, meeting kurtosis winter time data, verify electrical network and meet the kurtosis summer, meet special evaluation of kurtosis winter and whether before complete by the end of April and by the end of September respectively; (5), according to PMS, after verification equipment A, B, the maintenance of C class, in 2 weeks, whether complete dynamic evaluation;
Step S108: whether verification equipment evaluation result is " normal condition ", if judgement is " normal condition ", enters step S109, otherwise enters step S110;
Step S109: for the verification result of step S108, S112, appraisal report integrality is verified, the project failing to fill in is identified, and enter step S105; Enter step S106 for complete appraisal report;
Step S110: press part of appliance verification quantity of state and whether correctly describe, whether abnormal, the defect of complete documentation source book, run book, maintenance data and homotype or same category of device and failure condition, running environment variation, anti-accident measures implementation of conditions sake of clarity, identify and enter step S105 for error field;
Step S111: whether correctly verify diagnostic analysis field, verify family's defect, operation and patrol and examine, test quantity of state title of all categories, deduction of points, basis for estimation and whether correctly describe, identify and enter step S105 for error field;
Step S112: whether correctly verify maintenance decision field, whether correctly verify repair time, maintenance classification, maintenance relevance, identify and enter step S105 for error field;
Step S113: according to verifying result, company of prefectures and cities misdata is carried out to statistical study, calculate error rate, type of error etc., and to its rank; If desired, to the prefecture-level company ranking behind, according to its error category, provide targeted training scheme;
Step S114: result is issued, rectification; Rectification content is fed back, for not meeting rule, actual correct equipment again, listed separately it in succeeding year turnaround plan, and examine and the each side consistance such as technological transformation, overhaul, municipal works;
Step S115: feedback rectification content, and again verify according to above step.
3. grid equipment state evaluation work intelligent checking method according to claim 2, is characterized in that: described source book, comprising: nameplate parameter, type-test report, commissioning test report.
4. grid equipment state evaluation work intelligent checking method according to claim 2, is characterized in that: described run book, comprising: operating condition record, defect and exception record, patrol record, band electro-detection and on-line monitoring record.
5. grid equipment state evaluation work intelligent checking method according to claim 2, is characterized in that: described maintenance data, comprises control: record of examination, test report, equipment technological transformation overhaul.
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| CN104867061A (en) * | 2015-06-04 | 2015-08-26 | 国网上海市电力公司 | State repair management system for relay protection device |
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| CN108288128A (en) * | 2018-02-28 | 2018-07-17 | 中国电力科学研究院有限公司 | A kind of transmission line of electricity methods of risk assessment and system |
| CN109360662A (en) * | 2018-09-11 | 2019-02-19 | 平安医疗健康管理股份有限公司 | Diagnosis and treatment auditing rule update method, device, computer equipment and storage medium |
| CN109765515A (en) * | 2018-12-28 | 2019-05-17 | 国网辽宁省电力有限公司电力科学研究院 | On-Line Monitor Device data accuracy intelligent checking system |
| CN111221956A (en) * | 2019-12-26 | 2020-06-02 | 国网宁夏电力有限公司中卫供电公司 | PMS distribution network equipment data quality checking method for power management system |
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| CN111724137A (en) * | 2020-06-23 | 2020-09-29 | 广东电网有限责任公司 | Method for automatically checking consistency of line fault work order and master station hang tag |
| CN113987477A (en) * | 2021-10-26 | 2022-01-28 | 北京京航计算通讯研究所 | Distributed AI system poison-throwing prevention method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104867061A (en) * | 2015-06-04 | 2015-08-26 | 国网上海市电力公司 | State repair management system for relay protection device |
| CN107784485A (en) * | 2018-01-22 | 2018-03-09 | 柴建霖 | A kind of grid equipment state evaluation system |
| CN108288128A (en) * | 2018-02-28 | 2018-07-17 | 中国电力科学研究院有限公司 | A kind of transmission line of electricity methods of risk assessment and system |
| CN109360662B (en) * | 2018-09-11 | 2023-10-27 | 深圳平安医疗健康科技服务有限公司 | Diagnosis and treatment auditing rule updating method, device, computer equipment and storage medium |
| CN109360662A (en) * | 2018-09-11 | 2019-02-19 | 平安医疗健康管理股份有限公司 | Diagnosis and treatment auditing rule update method, device, computer equipment and storage medium |
| CN109765515A (en) * | 2018-12-28 | 2019-05-17 | 国网辽宁省电力有限公司电力科学研究院 | On-Line Monitor Device data accuracy intelligent checking system |
| CN111221956A (en) * | 2019-12-26 | 2020-06-02 | 国网宁夏电力有限公司中卫供电公司 | PMS distribution network equipment data quality checking method for power management system |
| CN111695883A (en) * | 2020-06-23 | 2020-09-22 | 广东电网有限责任公司 | Automatic checking method for consistency of operation of live-line work order and master station listing |
| CN111724137A (en) * | 2020-06-23 | 2020-09-29 | 广东电网有限责任公司 | Method for automatically checking consistency of line fault work order and master station hang tag |
| CN111709719A (en) * | 2020-06-23 | 2020-09-25 | 广东电网有限责任公司 | Method for automatically checking consistency of line power conversion worksheet and master station hang tag |
| CN111695883B (en) * | 2020-06-23 | 2023-12-29 | 广东电网有限责任公司 | Automatic checking method for consistency of line live working worksheet and master station listing operation |
| CN111709719B (en) * | 2020-06-23 | 2024-01-02 | 广东电网有限责任公司 | Method for automatically checking consistency of line-to-electrician bill and master station listing |
| CN113987477A (en) * | 2021-10-26 | 2022-01-28 | 北京京航计算通讯研究所 | Distributed AI system poison-throwing prevention method and system |
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