Application of Case Retrieval Algorithm Based on Variable Weighted Grey Relation in Urban Rail Transit Network Operation Pattern Database

Under networked conditions, the growing number of subway lines means exponential increase in energy consumption. In an emergency, if the train still executes the previous operation chart, it will consume more energy. Therefore, the main research problem of this article is to quickly find the operation diagram suitable for the train's emergency situation in the current networked line through the improvement of the case database design, so as to achieve the optimal total energy consumption of the subway network and achieve the purpose of energy saving. Based on the relevant theories of case-based reasoning, this paper introduces a comprehensive weight adjustment method based on rough set and conditional information entropy method, and a case retrieval method based on two-stage variable weight gray correlation degree in the urban rail transit network operation pattern database applications.