Secondary equipment state overhaul decision system and secondary equipment state overhaul decision method based on risk tolerance

Abstract

A secondary equipment state overhaul decision system and a secondary equipment state overhaul decision method based on risk tolerance analysis are provided. The method comprises the following steps: building a secondary equipment state overhaul knowledge base in a computer; performing health state evaluation and risk assessment on secondary equipment according to the state information of the secondary equipment, and associating the health state evaluation and risk assessment result with an overhaul strategy formulated in the state overhaul knowledge base; making a risk tolerance analysis of the overhaul strategy, evaluating the economical efficiency of the overhaul strategy, and guiding overhaul strategy decision; and finally, evaluating the comprehensive application effect of the overhaul strategy, and accepting / rejecting or sorting the evaluation result, wherein operation and maintenance staff can enrich and adjust the state overhaul knowledge base. According to the invention, the state overhaul knowledge base based on state evaluation is established, the link of risk tolerance analysis is added in the overhaul strategy formulating process, the link of overhaul comprehensive effect evaluation is added after the implementation of the overhaul strategy, and the state overhaul strategy knowledge base is enriched and adjusted. According to the invention, the overhaul knowledge base can be self-perfected.

Description

technical field [0001] The invention relates to the field of power system operation and management, in particular to a decision-making system and method for condition-based maintenance of power grid secondary equipment based on risk tolerance analysis. Background technique [0002] The condition-based maintenance of secondary equipment is a research hotspot at home and abroad, and many scholars at home and abroad have carried out relevant research. At present, there are two main ideas for power companies to carry out research and engineering application of condition-based maintenance of secondary equipment: one is to establish secondary equipment The equipment self-inspection and operating status information collection system can effectively monitor the equipment status, and arrange the maintenance plan purposefully according to the results of status analysis, diagnosis and evaluation. Another idea is to carry out data mining on the non-status information in the background, ...

AI Technical Summary

Problems solved by technology

As a result, excessive maintenance or improper maintenance may be caused, resulting in maintenance costs much higher than the losses caused by equipment failures

[0004] (2) The maintenance strategy knowledge base is based on the maintenance regulations and the manufacturer’s maintenance manual. Once it is formulated, it will basically not change. During the operation of the equipment, new problems will appear on the equipment itself or new equipment will be introduced into the system. The maintenance strategy cannot meet the new requirements. needs, and does not reflect the maintenance experience of equipment operation and maintenance technicians

When formulating the condition-based maintenance strategy based on the results of the condition assessment, it may happen that the maintenance strategy cannot be generated or an incorrect maintenance strategy will be generated, which will affect the efficiency of equipment maintenance

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