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Remote Monitoring and Control of Green Logistics Transportation Devices Using Image Processing and Wireless Networks

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  • Juan Li

    (Henan Institute of Economics and Trade, China)

Abstract

This study investigates the design and application of a remote monitoring system for green logistics transportation devices based on image control and processing modules. By integrating GPS positioning, wireless communication, and image processing technologies, the system enables real-time monitoring of vehicle temperature, humidity, and location data, as well as anomaly alerts and remote scheduling. The study develops a framework for a green logistics transportation system that optimizes resource allocation and transport routes to reduce operational costs. Experimental results demonstrate that the system performs effectively in environmental monitoring and node conflict management, significantly enhancing the automation and environmental sustainability of logistics transportation. Furthermore, the integration of dynamic frame slot and fixed frame delay algorithms effectively reduces node conflicts and improves system stability. The findings provide a practical technological solution for promoting the intelligent and sustainable development of green logistics.

Suggested Citation

  • Juan Li, 2026. "Remote Monitoring and Control of Green Logistics Transportation Devices Using Image Processing and Wireless Networks," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 17(1), pages 1-20, January.
  • Handle: RePEc:igg:jaci00:v:17:y:2026:i:1:p:1-20
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