Proceedings of the
The Nineteenth International Conference on Computational Intelligence and Security (CIS 2023)
December 1 – 4, 2023, Haikou, China
Cold Chain Logistics Environment Monitoring and Early Warning System Based on Edge Computing
College of Information Science and Technology, Bohai University, China.
ABSTRACT
For the problem that aquatic products are prone to spoilage during cold chain logistics transportation, this article proposes a cold chain logistics environment monitoring and early warning system based on edge computing. The system uses temperature and humidity sensors, carbon dioxide sensors, trimethylamine sensors, hydrogen sulfide sensors and ammonia sensors to monitor the freshness of aquatic products in the cold chain transportation process in real time. While this is going on, a remote fish spoilage prediction, data reduction and reconstruction algorithm based on edge computing is proposed. The algorithm completed the prediction of fish spoilage in the edge devices and realized the data reduction and reconstruction, thus realizing the communication of a large number of original data in the Beidou short message system. The results show that the system can realize the monitoring and early warning functions well, and greatly protect the freshness of aquatic products in the cold chain logistics.
Keywords: Edge computing, Environment monitoring, Prediction system, Data reduction, Data reconstruction, Cold chain logistics.
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College of Information Science and Technology, Bohai University, China.
ABSTRACT
For the problem that aquatic products are prone to spoilage during cold chain logistics transportation, this article proposes a cold chain logistics environment monitoring and early warning system based on edge computing. The system uses temperature and humidity sensors, carbon dioxide sensors, trimethylamine sensors, hydrogen sulfide sensors and ammonia sensors to monitor the freshness of aquatic products in the cold chain transportation process in real time. While this is going on, a remote fish spoilage prediction, data reduction and reconstruction algorithm based on edge computing is proposed. The algorithm completed the prediction of fish spoilage in the edge devices and realized the data reduction and reconstruction, thus realizing the communication of a large number of original data in the Beidou short message system. The results show that the system can realize the monitoring and early warning functions well, and greatly protect the freshness of aquatic products in the cold chain logistics.
Keywords: Edge computing, Environment monitoring, Prediction system, Data reduction, Data reconstruction, Cold chain logistics.
Download PDF