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Because the fault data of rail transit switch machine are difficult to obtain and the site fault is difficult to reproduce, it is difficult to diagnose or predict the switch machine. In this paper, the power fault data of S700K switch machine is divided into creeping fault and mutation fault, and a simulation data generator for generating massive fault data is developed. The generators involve the synthesis of minority over-sampling techniques and generative confrontation networks. Finally, the long-term memory neural network is used to predict the generated gradual fault data to verify the authenticity and reliability of the simulation data generator. The experimental results show that the generated data can predict the future power trend of the switch machine, which proves the authenticity and feasibility of the simulation data generator.

For the entire phase of the design, manufacture and operation of the Communication Base Train Control (Communication Base Train Control, CBTC) signal system, safety is the primary issue that needs to be considered. This article introduces ScOLA’s modeling language, combined with the situation of the wireless loss fault of the vehicle-mounted signal equipment, and carries out a formal description and step-by-step simulation of the system. It further illustrates that the application of the ScOLA modeling language can perform the safety analysis of the CBTC signal system faster and more accurately.

In the research on the new generation of intelligent rail transit system, the prevention of train collision safety accidents is still a focus. Virtual coupling technology is a technology that cooperatively controls the running speed and interval distance of two or more trains through Train-to-Train(T2T) train workshop direct communication technology. The aim is to form a coordinated logical whole and jointly complete the train control and dispatching organization. In this paper, a virtual coupling train formation control method based on model predictive control (MPC) framework is proposed. From the aspects of the establishment of virtual coupling system, the construction of MPC model and decoupling method, how to integrate virtual coupling technology into the rail transit train collision protection is studied. And the safety and reliability of the system are calculated through fault tree and the method of constructing reliability function. The research shows that, if virtual coupling technology is used as a method of train collision protection, the overall safety and reliability of the train control system will be improved.