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基于区块链的稻米供应链信息监管模型。

Blockchain-Based Information Supervision Model for Rice Supply Chains.

机构信息

School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China.

出版信息

Comput Intell Neurosci. 2022 Mar 29;2022:2914571. doi: 10.1155/2022/2914571. eCollection 2022.

DOI:10.1155/2022/2914571
PMID:35392045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8983231/
Abstract

Rice is a major food crop around the world, and its various quality and safety problems are closely related to human health. As an important area of food safety research, the rice supply chain has attracted increasing attention. Based on blockchain technology, this study investigated problems of data privacy and circulation efficiency caused by complex rice supply networks, long circulation cycles, and various risk factors in each link. First, we deconstructed the quality and safety of each link of the rice supply chain at the information level and established a key information classification table for each link. On that basis, we built a rice supply chain information supervision model based on blockchain. Various encryption algorithms are used to secure the sensitive data of enterprises in the supply chain to meet regulators' needs for efficient supervision. Moreover, we propose a practical Byzantine fault-tolerant consensus algorithm that scores the credit of enterprise nodes, optimizes the selection strategy of master nodes, and ensures high efficiency and low cost. Then, we built a prototype system based on the open-source framework of hyperledger fabric, analyzed the model's viability, and implemented the system using cases. The results indicated that the proposed system can optimize the information supervision process of rice supply chain regulators and provide a feasible solution for the quality and safety supervision of grain and oil.

摘要

大米是世界范围内的主要粮食作物，其各种质量和安全问题都与人类健康密切相关。作为食品安全研究的一个重要领域，大米供应链受到了越来越多的关注。本研究基于区块链技术，针对复杂的大米供应链网络、较长的流通周期以及各环节存在的各种风险因素所导致的数据隐私和流通效率问题进行了探讨。首先，我们在信息层面上对大米供应链的各个环节的质量和安全进行了解构，并为每个环节建立了关键信息分类表。在此基础上，我们构建了基于区块链的大米供应链信息监管模型。通过使用各种加密算法来保护供应链中企业的敏感数据，以满足监管机构对高效监管的需求。此外，我们提出了一种实用的拜占庭容错共识算法，对企业节点的信用进行评分，优化主节点的选择策略，以保证高效性和低成本。然后，我们基于 hyperledger fabric 的开源框架构建了原型系统，分析了模型的可行性，并通过用例实现了系统。结果表明，所提出的系统可以优化大米供应链监管机构的信息监管流程，为粮油质量安全监管提供了一种可行的解决方案。

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