Research on Automated Simulation Testing of Train Operation Monitoring and Recording Device

DOI

10.2991/978-94-6239-758-3_7How to use a DOI?

Keywords

LKJ; Automated Simulation Testing; Physical Signal Generation; Signal Acquisition; Test Case Generation; HIL Test

Abstract

The Train Operation Monitoring and Recording Device (LKJ) is a core onboard safety equipment for Chinese railways, and the correctness of its embedded control software directly affects train operation safety. Conventional manual testing suffers from low coverage, heavy workload, poor repeatability, and difficulty in defect reproduction. To solve these problems, the paper introduces a automatic simulation testing methodology for LKJ systems. The developed LKJ automated simulation testing system integrates three approaches of test case generation—graphical editing, manual operation recording, and LKJ operation record file conversion—to flexibly cover diverse scenarios. Key enabling technologies are analyzed systematically, including multi-type physical signal generation (speed, signal, pressure, etc.), DMI (Driver Machine Interface) input simulation via a robotic arm, and real-time acquisition of LKJ braking outputs and DMI display information based on video capture and optical character recognition. A timing delay calibration model is established to synchronize external signal injection with LKJ internal recording, improving testing accuracy. The system has been successfully applied in the development and verification of LKJ onboard software. The repeatability of test results reaches 100% under identical conditions. A practical technical method for automatic testing of LKJ and other railway train control systems is proposed, which increasesthe safety and reliability in railway operations.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaofan Mo
AU  - Yuhui He
AU  - Linfu Zhu
AU  - Jingyu Zheng
AU  - Peng Jin
PY  - 2026
DA  - 2026/09/08
TI  - Research on Automated Simulation Testing of Train Operation Monitoring and Recording Device
BT  - Proceedings of the 2026 7th International Conference on Management Science and Engineering Management (ICMSEM 2026)
PB  - Atlantis Press
SP  - 64
EP  - 75
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-758-3_7
DO  - 10.2991/978-94-6239-758-3_7
ID  - Mo2026
ER  -