A fault analysis method, system and electronic equipment for rail transit signal system

Abstract

The present invention discloses a fault analysis method, system and electronic equipment for a rail transit signal system, and relates to the technical field of rail transit systems, including: processing rail transit system operation and maintenance data through a data engine to obtain target data, analyzing the target data according to a data analysis rule base, generating a fault database and an operation and maintenance analysis report, using the target data as input of a multivariate neural network model for model training, so as to quickly extract key feature data of the model, thereby improving model efficiency and model accuracy; using a fault detection optimization model obtained by training to detect real-time operation and maintenance data and output a fault detection report, performing data visualization and updating the data analysis rule base, ensuring the adaptability of the fault detection optimization model, and significantly improving the fault analysis efficiency and accuracy of the rail transit signal system.

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