Intelligent operation and maintenance method of secondary equipment based on closed-loop knowledge management

Abstract

The invention discloses an intelligent operation and maintenance method for secondary equipment based on closed-loop knowledge management, which includes the following steps: Step 1: Establish a substation monitoring signal database, including the equipment, signal name, signal source, signal type, signal meaning, and associated signals , Causes and treatment principles; Step 2: Establish a typical defect database for secondary equipment based on existing data; Step 3: Establish a signal closed-loop analysis process; Step 4: Establish a closed-loop management process for secondary equipment defect knowledge base. The present invention takes secondary equipment operation and maintenance data information as clues, uses two-level closed-loop knowledge management of control center and substation as a method, establishes an intelligent operation and maintenance knowledge base, and accumulates samples through operation and maintenance disposal, and creates knowledge data after analysis to realize sample-based Automatic defect statistics of the library, thereby supporting the transformation of secondary equipment operation and maintenance to data-driven initiative and preventive operation and maintenance, and overcoming the defects of existing methods.

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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