A secondary equipment intelligent operation and maintenance method based on closed loop knowledge management

Abstract

The invention provides a secondary equipment intelligent operation and maintenance method based on closed loop knowledge management. The method comprises the steps of; firstly, building a transformersubstation monitoring signal database including affiliated equipment, signal names, signal sources, signal types, signal meaning, associated signals, causes and processing rules; secondly, building asecondary equipment typical defect base according to existing data; thirdly, building a signal closed-loop analysis process; fourthly, building a secondary equipment defect knowledge base closed-loopmanagement process. With secondary equipment operation and maintenance data information as the clue and two-stage closed-loop knowledge management of a regulation and control center and transformer substations as the method, an intelligent operation and maintenance knowledge base is built; accumulated samples are handled through operation and maintenance and knowledge data are created through postmortem analysis, so that automatic defect statistics based on a sample base is realized. Therefore, conversion of operation and maintenance of secondary equipment to data-driven active and preventiveoperation and maintenance can be supported and the problems in the prior art can be solved.

Description

technical field [0001] The invention relates to the technical field of power equipment defect analysis and operation and maintenance, in particular to an intelligent operation and maintenance method for secondary equipment based on closed-loop knowledge management. Background technique [0002] Strengthening the operation and maintenance management of power grid equipment is an important measure to improve the level of equipment operation management and ensure safe production. Compared with the primary equipment of the power grid, the state evaluation, defect analysis and operation and maintenance technology research of the secondary equipment is relatively lagging behind, and the breadth and depth of knowledge have a large room for growth, and the following problems exist: [0003] 1) There are few features reflecting the state of secondary equipment, and the evaluation method and maintenance strategy of secondary equipment are quite different from those of primary equipmen...

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Problems solved by technology

[0005] 3) Systems such as EMS and PMS focus on production process monitoring and process management assessment, lack of mining, storage and sharing of problem analysis methods, on-site disposal experience and operation and maintenance knowledge, making it difficult to standardize the experience and knowledge of dispatching operators and operation and maintenance personnel , systematized, difficult to continue

[0006] 4) The accumulation of effective samples of defects and faults is insufficient, which does not meet the needs of R & D and application of operation and maintenance big data technology

[0007] 5) The operation and maintenance of secondary equipment is mainly based on post-event analysis and disposal of fault alarms. There is a lack of early warning means, and it is difficult to automatically analyze and identify regular common problems such as family defects from the defect records that have occurred. The predictability and initiative of inspection work need to be improved

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