Research on intelligent regulation and control method of train environmental factors based on multi-sensor fusion

With the rapid development of rail transit, the intelligent regulation and control of train operating environmental factors has become a key technology to improve train safety, comfort and energy efficiency. In this paper, an intelligent regulation and control method of train environmental factors based on multi-sensor fusion is proposed, which realizes the real-time monitoring and intelligent adjustment of the train operating environment by integrating multiple sensor data. In this paper, sensor selection, data fusion algorithm, environmental factor monitoring, intelligent adjustment strategy, experimental design and result analysis are introduced in detail, and the experimental results show that the method can effectively improve the safety and comfort of train operation.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3704657.3704687
Primary Topic
Engineering Applied Research
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article
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Research on intelligent regulation and control method of train environmental factors based on multi-sensor fusion

Wei Sun, Yutian Xiao, Chen Chen, Manqi Yang
Engineering Applied Research
article

Research on intelligent regulation and control method of train environmental factors based on multi-sensor fusion

Wei Sun, Yutian Xiao, Chen Chen, Manqi Yang
article en

Abstract

With the rapid development of rail transit, the intelligent regulation and control of train operating environmental factors has become a key technology to improve train safety, comfort and energy efficiency. In this paper, an intelligent regulation and control method of train environmental factors based on multi-sensor fusion is proposed, which realizes the real-time monitoring and intelligent adjustment of the train operating environment by integrating multiple sensor data. In this paper, sensor selection, data fusion algorithm, environmental factor monitoring, intelligent adjustment strategy, experimental design and result analysis are introduced in detail, and the experimental results show that the method can effectively improve the safety and comfort of train operation.

Jilin Agricultural University (CN), Shanghai Institute of Technology (CN)
Climate action
Openalex Percentile: Top 73%
Engineering Applied Research
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Research on intelligent regulation and control method of train environmental factors based on multi-sensor fusion — Wei Sun, Yutian Xiao, et al. · (2024) | TGRS Research Map | TGRS