Preventive maintenance decision-making optimization model for key components of train bogie based on maximum and minimum ant colony algorithms

Abstract

The invention discloses a preventive maintenance decision-making optimization model for key components of a train bogie based on maximum and minimum ant colony algorithms. The preventive maintenance decision-making optimization model for key components of the train bogie and the constraint conditions there of are built, and then the opportunity maintenance threshold and maintenance cost are obtained according to the maximum and minimum ant colony algorithms. A method employed by the model comprises the following steps: setting a node set Ci; setting relevant parameters; placing m ants on the nodes to start visit, and then counting the path length of each ant, and recording as a current best solution; updating the path information according to an information update principle until all nodesare visited; evaluating the solution of the access path of each ant according to an optimization target of a model E, and selecting a solution with the shorter path as an updating value, wherein thenumber of ants visiting the path will be gradually increased with the shorter path and stronger pheromones; finally, judging the relationship between the number of current iterations and the total number of times, and finding out an optimal solution. The model is high in calculation speed, is high on solving relation, and can effectively reduce the maintenance cost of the key parts.

Description

technical field [0001] The invention relates to a decision-making optimization model for preventive maintenance of key components of a train, in particular to a decision-making optimization model for maintenance decision-making of key components of a train bogie based on the max-min ant colony algorithm. Background technique [0002] Urban rail transit trains have become an important way of travel for people due to their convenience, comfort, safety, and high punctuality rate, and play an important role in alleviating urban traffic pressure. At the same time, in view of the problem of under-maintenance or over-maintenance in the preventive maintenance of key components of train bogies, it is of great significance to study the decision-making optimization model of preventive maintenance of key components to save operation and maintenance costs and improve train operation efficiency. [0003] At present, the maintenance of key components of urban rail transit train bogies in m...

AI Technical Summary

Problems solved by technology

Condition preventive repair can avoid the occurrence of faults to a certain extent, but its maintenance according to the specified time interval cycle will cause frequent shutdowns and maintenance of trains during the operation phase, reducing operational efficiency

Post-event preventive maintenance refers to a passive maintenance mode after a failure occurs. Although over-maintenance can be avoided, if some key components of the train fail during operation, it will cause inestimable losses.

At present, the research on the optimization model method for the maintenance of key components of trains mainly focuses on the reliability analysis of key components of trains, while the optimization research of preventive maintenance decision-making is relatively rare in the maintenance activities of key components of trains

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