Evaluation method of urban rail transit signaling equipment health status based on group decision-making

Abstract

The invention relates to a method for evaluating the health status of signaling equipment of urban rail transit based on group decision, which comprises the following steps: S1, reading the health management cycle parameter of any equipment; if the health management cycle parameter of any equipment is the equipment fault status monitoring cycle, executing the step S2; If the parameter of the healthy body management cycle is the equipment use state evaluation cycle, executing step S3; 2, read that failure times of the equipment in the lat set days, and modifying the healthy body management cycle parameter of the equipment into the equipment use state evaluation cycle when the failure times exceed the set alarm threshold value of the equipment type; Step S3: Receive the fuzzy evaluation matrix respectively given by each expert member, and obtain the evaluation result of the equipment based on the fuzzy evaluation matrix. Compared with the prior art, the invention initially identifies thestate of the equipment by using the healthy body management cycle parameters of the equipment, and evaluates the equipment in the evaluation cycle, so as to improve the evaluation efficiency and accuracy of the equipment.

Description

technical field [0001] The invention relates to the field of urban rail transit signal equipment and management, in particular to a method for evaluating the health status of urban rail transit signal equipment based on group decision-making. Background technique [0002] As a safety-related equipment, urban rail transit signal equipment directly serves the operation equipment, and it plays a vital role in the efficient, safe and reliable operation of trains. The failure of urban rail transit signal equipment will cause serious consequences, so operators pay more attention to the health status of signal equipment. On the one hand, the urban rail transit signal equipment itself has the characteristics of many types, large quantities, high technical content, complex system and complex operating environment, which makes the health status of urban rail transit signal equipment affected by various factors. As the service life of urban rail transit signal equipment continues to i...

AI Technical Summary

Problems solved by technology

However, for urban rail transit signal equipment, it will be affected by various factors during on-site operation, so the evaluation of the service life of urban rail transit signal equipment cannot be based solely on the classic reliability analysis

For the health status evaluation of urban rail transit signal equipment, there is no systematic, targeted and detailed algorithm

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