CN110866695A - Auxiliary maintenance decision method based on association of equipment running state and maintenance work - Google Patents
Auxiliary maintenance decision method based on association of equipment running state and maintenance work Download PDFInfo
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Abstract
The invention relates to an auxiliary maintenance decision method based on the association of equipment running state and maintenance work, which is technically characterized in that: sensing the operating environment and equipment information of each equipment of the power grid; classifying and counting the obtained data; analyzing the equipment defect description and defect generation process; identifying whether the equipment defects have similarity and correlation; establishing a correlation and cooperativity mathematical model among the equipment defect data; verifying the operation state sensing result of the equipment; judging and reminding power failure range, mode arrangement and protection coordination work in various maintenance work processes; and establishing a maintenance aid decision expert analysis model to carry out an aid maintenance decision. The method can provide accurate and reliable equipment state sensing results and fault information, optimize equipment maintenance planning arrangement and process control, remarkably improve the auxiliary decision-making working efficiency of the whole power grid maintenance business process, quickly evaluate the running state and health level of the equipment, and provide a basis for the operation and maintenance arrangement of the equipment.
Description
Technical Field
The invention belongs to the technical field of power equipment monitoring, and particularly relates to an auxiliary maintenance decision method based on correlation between an equipment running state and maintenance work.
Background
With the development of the electric power industry in China and the advance of the development level of the smart power grid, the power grid assets are increased in a geometric series manner. The power grid asset management needs to perform accurate state sensing, efficient operation and maintenance and management on a huge number of equipment assets in a power grid. The good power grid asset management has important significance for improving the operation performance of a power grid enterprise, improving the safe and stable operation level of a power grid and tamping the construction foundation of the intelligent power grid. Through comprehensive analysis and deep excavation of equipment monitoring information and real-time operation data, state perception and discrimination research of power grid operation equipment is developed, early warning and pre-control are carried out on familial defects of the power grid equipment, healthy operation of the equipment is guaranteed, and control and decision assistance are carried out on the whole process of power grid maintenance service.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an auxiliary maintenance decision method which is reasonable in design, high in working efficiency and capable of providing accurate and reliable equipment state sensing results and fault information and is based on correlation between the equipment running state and maintenance work.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
an auxiliary maintenance decision method based on equipment running state and maintenance work association comprises the following steps:
and 8, establishing a maintenance auxiliary decision expert analysis model and carrying out auxiliary maintenance decision.
The perception method of the step 1 comprises the steps of obtaining, filtering and associating.
The operation environment and the equipment information of each equipment of the power grid comprise: the method comprises the following steps of obtaining the data of the number of equipment faults, the number of equipment defects, the number of equipment faults, the number of equipment fault conditions and the number of equipment faults, wherein the data of the number of equipment faults and the number of equipment faults are obtained by the aid of the data of the number of equipment faults.
And the step 5 is realized by analyzing the state of the equipment according to different dimensions of the equipment account, the equipment distribution and the time distribution.
The specific implementation method of the step 6 comprises the following steps:
step 61, checking the rationality of a power grid mode, the safety measure comprehensiveness, the power balance and the equipment maintenance necessity and repeatability in the maintenance application;
and step 62, performing integrity check, abnormal alarm trend and familial defect evaluation on the quality of the monitored alarm information.
The invention has the advantages and positive effects that:
1. the method can provide accurate and reliable equipment state sensing results and fault information, optimize equipment maintenance plan arrangement and process control, remarkably improve the auxiliary decision-making working efficiency of the whole power grid maintenance service process, provide basis for a monitor to quickly judge and quickly know problems in various information, provide scientific decision-making according to the power grid operation situation, quickly evaluate the equipment operation state and health level, and provide basis for the operation and maintenance arrangement of the equipment.
2. The invention can purposefully provide the early warning and coping strategies: the method has the trend prediction and early warning technology of the equipment, and can provide a trend early warning and coping strategy for familial problems.
3. The invention can improve the intelligent level of regulation and control operation: the method has the advantages that operators are liberated from complicated daily and complicated repeated work, and are dedicated to intervention and audit of special important nodes, so that maintenance decision efficiency and working efficiency are greatly improved, workload and working pressure are reduced, and regulation and control operation levels of large power grids and complex power grids are improved.
Drawings
FIG. 1 is a process flow diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
An auxiliary maintenance decision method associated with maintenance work based on equipment operation state, as shown in fig. 1, includes the following steps:
In this step, the sensing of each device includes the processes of obtaining, filtering, and associating.
And 2, classifying, counting and sequencing the obtained data according to the equipment manufacturer and the equipment model.
And 3, comparing and analyzing the defect description and defect generation processes of the equipment with the same type of the same manufacturer or different types of the same manufacturer.
And 4, identifying whether the equipment defects of the same manufacturer and the same model or different models of the same manufacturer have similarity and correlation.
And 5, establishing a correlation and cooperative mathematical model among the equipment defect data, describing a specific relation among the equipment defect data, establishing a multi-dimensional multi-factor comprehensive equipment familial defect model, and actively early warning familial problems.
The method comprises the steps of analyzing the state of the equipment and establishing a model according to different dimensions such as equipment accounts, equipment distribution, time distribution and the like.
And 6, verifying the operation state sensing result of the equipment.
The specific implementation method of the step is as follows:
step 61, checking the rationality of a power grid mode, the safety measure comprehensiveness, the power balance and the necessity and repeatability of equipment maintenance in the maintenance application;
and step 62, performing integrity check, abnormal alarm trend and familial defect evaluation on the quality of the monitored alarm information.
And 7, judging and reminding relevant work such as power failure range, mode arrangement, protection coordination and the like in various maintenance working processes according to the maintenance purpose.
And 8, establishing a maintenance assistant decision expert analysis model.
In conclusion, the invention gradually realizes the automatic perception of the equipment state of the monitoring data, evaluates the running state and the health level of the equipment, provides a basis for the operation and maintenance arrangement of the equipment, orderly stores diversified data, realizes the query statistics and the relevance analysis of the equipment type, the defect type and the manufacturer model, realizes the relevance analysis of periodic work according to the characteristics of familiarity and the like, realizes the early warning of the familial hidden danger of the power grid equipment, and provides a coping strategy. The analysis and mining of the power grid maintenance service data are facilitated, so that a reasonable maintenance plan is arranged, and the reasonable arrangement and treatment decision of maintenance work are assisted. And a good application basis is provided for improving the intelligent scheduling level.
Nothing in this specification is said to apply to the prior art.
It should be emphasized that the embodiments described herein are illustrative rather than restrictive, and thus the present invention is not limited to the embodiments described in the detailed description, but also includes other embodiments that can be derived from the technical solutions of the present invention by those skilled in the art.
Claims (5)
1. An auxiliary maintenance decision method based on the association of equipment running state and maintenance work is characterized by comprising the following steps:
step 1, sensing the operating environment and equipment information of each equipment of a power grid;
step 2, classifying, counting and sequencing the obtained data according to the manufacturer and the equipment model in the equipment information;
step 3, comparing and analyzing the defect description and defect generation processes of the equipment with the same type of manufacturer or different types of manufacturers;
step 4, identifying whether the equipment defects of the same manufacturer and the same model or different models of the same manufacturer have similarity and correlation;
step 5, establishing a correlation and cooperative mathematical model among the equipment defect data, describing the specific relation among the equipment defect data, establishing a multi-dimensional multi-factor comprehensive equipment familial defect model, and actively early warning the familial problems;
step 6, verifying the operation state sensing result of the equipment;
step 7, judging and reminding power failure range, mode arrangement and protection coordination work in various maintenance working processes according to maintenance purposes;
and 8, establishing a maintenance auxiliary decision expert analysis model and carrying out auxiliary maintenance decision.
2. The auxiliary overhaul decision method associated with the overhaul work of the equipment based on the operating condition of the equipment according to claim 1 wherein: the perception method of the step 1 comprises the steps of obtaining, filtering and associating.
3. The auxiliary overhaul decision method associated with the overhaul work of the equipment based on the operating condition of the equipment according to claim 1 wherein: the operation environment and the equipment information of each equipment of the power grid comprise: the method comprises the following steps of obtaining the data of the number of equipment faults, the number of equipment defects, the number of equipment faults, the number of equipment fault conditions and the number of equipment faults, wherein the data of the number of equipment faults and the number of equipment faults are obtained by the aid of the data of the number of equipment faults.
4. The auxiliary overhaul decision method associated with the overhaul work of the equipment based on the operating condition of the equipment according to claim 1 wherein: and the step 5 is realized by analyzing the state of the equipment according to different dimensions of the equipment account, the equipment distribution and the time distribution.
5. The auxiliary overhaul decision method associated with the overhaul work of the equipment based on the operating condition of the equipment according to claim 1 wherein: the specific implementation method of the step 6 comprises the following steps:
step 61, checking the rationality of a power grid mode, the safety measure comprehensiveness, the power balance and the equipment maintenance necessity and repeatability in the maintenance application;
and step 62, performing integrity check, abnormal alarm trend and familial defect evaluation on the quality of the monitored alarm information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201911118816.3A CN110866695A (en) | 2019-11-15 | 2019-11-15 | Auxiliary maintenance decision method based on association of equipment running state and maintenance work |
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| CN201911118816.3A CN110866695A (en) | 2019-11-15 | 2019-11-15 | Auxiliary maintenance decision method based on association of equipment running state and maintenance work |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353911A (en) * | 2020-04-28 | 2020-06-30 | 深圳力维智联技术有限公司 | Power equipment operation and maintenance method, system, equipment and storage medium |
| CN113487044A (en) * | 2021-05-14 | 2021-10-08 | 中国长江三峡集团有限公司 | Large hydroelectric generator set maintenance plan manufacturing method |
| CN117332857A (en) * | 2023-09-19 | 2024-01-02 | 上海聚数信息科技有限公司 | Multi-source data-based power grid data automatic management system and method |
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| CN103606062A (en) * | 2013-12-05 | 2014-02-26 | 国家电网公司 | Relay protection state evaluation and aid decision-making maintenance method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113487044A (en) * | 2021-05-14 | 2021-10-08 | 中国长江三峡集团有限公司 | Large hydroelectric generator set maintenance plan manufacturing method |
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Application publication date: 20200306 |