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使用私有区块链的食品安全配送系统:确保可追溯性和数据完整性验证。

Food Safety Distribution Systems Using Private Blockchain: Ensuring Traceability and Data Integrity Verification.

作者信息

Oh Seung Eel, Kim Jong-Hoon, Kim Ji-Young, Ahn Jae-Hwan

机构信息

Food Safety and Distribution Research Group, Korea Food Research Institute, Wanju 55365, Republic of Korea.

出版信息

Foods. 2025 Apr 18;14(8):1405. doi: 10.3390/foods14081405.

Abstract

The complexity of contemporary supply chains and the rise in foodborne illness cases have made ensuring food safety and traceability a top responsibility on a worldwide scale. Traditional traceability systems are prone to data tampering, fragmentation, and limited compatibility. Public blockchains have scalability, latency, and privacy problems that limit their use in real-time food safety systems, despite the fact that blockchain provides a secure data structure. Using Hyperledger Fabric, GS1 EPCIS standards, and Internet of Things-enabled environmental sensors, this paper suggests a private blockchain-based food safety monitoring system. To guarantee fault-tolerant, high-throughput processing in a permissioned blockchain setting, a Raft consensus mechanism was used. Hyperledger Caliper was used to benchmark the system once it was deployed with four nodes. According to experimental data, transaction throughput peaked at 230.2 TPS and averaged 207.4 ± 10.2 TPS. As the network grew from two to four nodes, latency increased somewhat from 259.3 ± 9.5 ms to 278.7 ± 9.1 ms, while block finalization time stayed below 3.184 ± 0.113 s. Over 114,925 documented transactions, data integrity was confirmed to be flawless. These results demonstrate that private blockchain technology can provide effective, scalable, and impenetrable food traceability, boosting openness and confidence throughout food networks.

摘要

当代供应链的复杂性以及食源性疾病案例的增加,使得确保食品安全和可追溯性成为全球范围内的首要责任。传统的可追溯系统容易出现数据篡改、碎片化以及兼容性有限的问题。尽管区块链提供了一种安全的数据结构,但公共区块链存在可扩展性、延迟和隐私问题,限制了其在实时食品安全系统中的应用。本文利用超级账本织物(Hyperledger Fabric)、GS1电子产品代码信息服务(EPCIS)标准以及物联网环境传感器,提出了一种基于私有区块链的食品安全监测系统。为了在许可区块链环境中保证容错、高吞吐量处理,使用了Raft共识机制。在系统部署四个节点后,使用超级账本卡尺(Hyperledger Caliper)对其进行基准测试。根据实验数据来看,交易吞吐量峰值达到230.2TPS,平均为207.4±10.2TPS。随着网络从两个节点扩展到四个节点,延迟从259.3±9.5毫秒略有增加到278.7±9.1毫秒,而区块最终确定时间保持在3.184±0.113秒以下。在超过114,925笔记录的交易中,数据完整性被证实毫无瑕疵。这些结果表明,私有区块链技术可以提供有效、可扩展且坚不可摧的食品可追溯性,提高整个食品网络的透明度和可信度。

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