Research on Digital Quality Traceability System for Temperature-Controlled Supply Chain of Foreign Trade Wine Driven by Blockchain and IoT
DOI:
https://doi.org/10.71222/sa1a4w71Keywords:
blockchain, Internet of Things, export wine, temperature-controlled supply chain, digital traceability, FedTSA-BC algorithm, anomaly detectionAbstract
This study designs a four-layer digital quality traceability system adapted for cross-border use, integrating smart contracts to achieve environmental monitoring and anomaly identification throughout the wine transportation process. It proposes the FedTSA-BC algorithm, integrating a federated temporal attention network and a blockchain consensus mechanism to balance privacy protection, anomaly detection accuracy, and consensus efficiency. Experimental verification based on 162 batches of foreign trade wine data shows that the system and algorithm achieve a comprehensive anomaly detection F1 score of 98.1%, an early warning accuracy of 98.6% for temperature fluctuations of 1.5-2℃, a response time of 0.3s, a consensus latency of 1.2s under multi-node concurrency, and a throughput of 320TPS. Cross-organizational data verification efficiency is improved by 40% compared to traditional methods. This research effectively solves the core problems of unreliable traceability of temperature and seismic data and the imbalance between real-time early warning, providing technical support for digital quality management of the temperature-controlled supply chain of foreign trade wine.References
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Copyright (c) 2025 Yuhua Du (Author)

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