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Intelligent Cold Chain Monitoring Platform Based on Internet of Things and Edge Computing

  • Xuejiang Wei,
  • Yingwu Peng,
  • Kevin Xiong

摘要

This paper proposes an intelligent cold chain monitoring platform based on Internet of Things (IoT) and edge computing technology, which integrates IoT sensors, edge computing devices, and cloud computing services. The platform enables real-time monitoring and data analysis of the entire cold chain logistics process, providing functions such as data acquisition, transmission, storage, processing, and analysis. It ensures real-time monitoring of key parameters like temperature, humidity, and vibration to ensure goods’ quality and safety. Through edge computing technology, the platform achieves localized data processing to reduce pressure on cloud servers while improving efficiency and response speed. Additionally, it offers features like data visualization, alarm warnings, and intelligent decision support to facilitate accurate management and optimize operations for logistics enterprises. Overall, this platform significantly enhances the intelligence level and competitiveness of the cold chain logistics industry.