Intelligent Product Design for Railway Track Condition Monitoring and Maintenance

ZENG Li, SONG Shan, WU Huilian, OU Yutong, CHEN Lu

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (10) : 568-582.

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (10) : 568-582. DOI: 10.19554/j.cnki.1001-3563.2026.10.052
Design Intelligent Innovation·Smart Mobility of “Art + Transportation”

Intelligent Product Design for Railway Track Condition Monitoring and Maintenance

  • ZENG Li, SONG Shan, WU Huilian, OU Yutong, CHEN Lu
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Abstract

The work aims to design intelligent travel-assist products for integrated railway track monitoring, cleaning, and maintenance to address issues such as rail icing, contact wire icing, and switch jamming caused by extreme winter weathers like low temperatures and freezing rain, thus improving operation and maintenance efficiency and safety in extreme environments. Through desk research and field investigations in southern freezing rain areas, basic data were collected to clarify the industry status and working conditions. Core pain points regarding form adaptation, functional integration, and human-computer interaction were identified through data analysis, competitive product case studies, and user persona construction. Subsequently, optimized design and functional planning were conducted based on modular design and ergonomics theories. An air-ground collaborative intelligent railway track maintenance robot system was proposed, achieving a "monitoring-de-icing-maintenance" functional closed-loop, with an AI Agent module integrated into the digital monitoring system to establish a "perception-planning-collaboration" logic. Consequently, the design achieves functional optimization, effectively simplifying human-computer interaction and reducing user cognitive load. The application of AI Agent technology significantly enhances interaction experience and operational efficiency, efficiently adapting to track maintenance needs in extreme environments like southern freezing rain areas.

Key words

smart travel / railway track cleaning and maintenance / intelligent product design / AI agent

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ZENG Li, SONG Shan, WU Huilian, OU Yutong, CHEN Lu. Intelligent Product Design for Railway Track Condition Monitoring and Maintenance[J]. Packaging Engineering. 2026, 47(10): 568-582 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.052

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