Railway vehicle network control system based on artificial intelligence

Shuang Gao

doi:10.1117/12.2675539

28 June 2023 Railway vehicle network control system based on artificial intelligence

Shuang Gao

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 127200B (2023) https://doi.org/10.1117/12.2675539
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

The in-vehicle network communication system and the in-vehicle network control system are independent and inseparable, and the network performance and control performance affect and restrict each other. The purpose of this paper is to study the optimal design of a network control system for railway vehicles based on artificial intelligence. This article is a project actually implemented relying on the railway vehicle network control system in M province. This paper selects the MVB network that conforms to the IEC61375-3 standard through the analysis and comparison of several mainstream communication networks in the rail transit industry. In the process of network topology design, the network system is divided into two network segments, the vehicle network and the train network, through the rational use of repeaters. There are a total of 160 CCU source ports and sink ports. In the process of designing the network control system, we have fully considered various redundancy design schemes, such as master control redundancy, line redundancy, key signal redundancy, hard cable signal redundancy, etc., to ensure the stability and reliability of the entire system. In order to achieve the design goal of subway vehicles mainly based on network control and supplemented by hard line control.

Citation Download Citation

Shuang Gao "Railway vehicle network control system based on artificial intelligence", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 127200B (28 June 2023); https://doi.org/10.1117/12.2675539

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