Research on a low-carbon aerial ropeway construction safety monitoring system for transmission line engineering freight based on deep learning

Weiguo Li, Yang Wang, Chaohua Duan, Jin Pan, Shouchang Wang and Zhaoyu Tao

International Journal of Low-Carbon Technologies, 2025, vol. 20, 771-780

Abstract: With the expansion of freight aerial cableways in mountainous regions, safety monitoring becomes crucial. Traditional methods are inefficient and lack intelligent warning systems. This paper proposes SafeRopeSystem, a deep learning-based safety monitoring system. It utilizes an edge-cloud architecture with SafeRopeNet, a lightweight target detection network enhanced by an Adaptive Feature Enhancement Module and a Weather-Robust Feature Pyramid Network for resilience in adverse weather. The system includes SafeHead for efficient detection and adaptive channel pruning for edge optimization. Cloud platforms provide data analysis and decision support, improving safety with reduced costs and high accuracy.

Keywords: aerial cableway safety monitoring; edge-cloud collaboration; deep learning; object detection (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:771-780.

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