Author(s)

Yuanchen Liu ¹, Changchun Liu ¹, Jianmin Xu ¹, Jiaqiang Ji ¹

Affiliation(s)

¹ Shenyang Siasun Robot & Automation Co., Ltd., Shenyang, Liaoning, China

Corresponding Author

Changchun Liu

ABSTRACT

On account of the diverse types and complex operating environments of the metro ISCS equipment, the traditional threshold alarm and the periodic maintenance is not enough to characterize the health of the equipment in an accurate way. In this paper, digital twin technology is introduced, the "data-driven- model mapping- dynamic assessment- early warning intervention" four-layer framework is constructed, the comprehensive health index model which takes the operation deviation, the cumulate degradation and the environment into account is proposed, and the LSTM is used for trend prediction. Validation on the metro Line 3 gives the assessment accuracy of 92.6%, which is 17.3 percentage points higher than the traditional way, and the average early warning lead time is extended to 7.8 days. The countermeasures for data governance, model updating and the personnel training are given in practical.

KEYWORDS

Digital twin; Equipment health; Condition-ased maintenance; Dynamic assessment; Metro integrated supervisory control system

CITE THIS PAPER

Yuanchen Liu, Changchun Liu, Jianmin Xu, Jiaqiang Ji. Research on Dynamic Health Assessment of Metro Integrated Supervision and Control System Equipment Based on Digital Twin. Journal of Electrotechnology, Electrical Engineering and Management (2026). Vol. 9, No.1, 97-101. DOI: http://dx.doi.org/10.23977/jeeem.2026.090112.

REFERENCES

[1] Li Qiang, Deng Xiaolong. Key Technologies of Electro mechanical Equipment Linkage Control in Metro ISCS. Science & Technology Vision, 2026, 16(9): 5-8.
[2] Shi Lei. Research on Intelligent Maintenance Solutions for Metro Catenary Equipment. Communications World, 2025, 32(8): 149-151.
[3] Chen Hao. Linkage Mode of Metro ISCS and BAS One Key Station Scenario. China New Communications, 2025, 27(9): 7-9.
[4] Zhang Ya, Song Leilei, Li Xingfei, et al. Design and Implementation of Metro Manufacturing Production Management Information System. Information System Engineering, 2024, (12): 4-7.
[5] Du Jingshuo. Research on Application Path of Big Data Technology in Metro Operation Management. Hebei Enterprises, 2024, (11): 56-58.

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