数据与计算发展前沿 ›› 2020, Vol. 2 ›› Issue (5): 65-75.

doi: 10.11871/jfdc.issn.2096-742X.2020.05.007

• 专题:区块链技术与应用 • 上一篇    下一篇

基于区块链的中草药质量安全管理模型

刘加梦1,2(),彭绍亮1,2,*(),李肯立1,2(),蒋洪波1(),龙承念3()   

  1. 1.湖南大学信息科学与工程学院,湖南 长沙 410082
    2.国家超级计算长沙中心,湖南 长沙 410082
    3.上海交通大学电子信息与电气工程学院,上海 200240
  • 收稿日期:2020-07-10 出版日期:2020-10-20 发布日期:2020-10-30
  • 通讯作者: 彭绍亮
  • 作者简介:刘加梦,湖南大学信息科学与工程学院,硕士研究生,主要研究方向为区块链和大数据。
    本文承担工作为系统的搭建与性能测试。
    Liu Jiameng is a master student at School of Information Science and Engineering, Hunan University. Her research fields are blockchain and big data.
    In this paper, she is mainly responsible for system building and performance testing.
    E-mail: meng84@hnu.edu.cn|彭绍亮,湖南大学信息科学与工程学院,教授,博士生导师,主要研究方向为生物信息、高性能计算和区块链。
    本文承担工作为研究方向的凝练和论文的指导。
    Peng Shaoliang is a professor of School of
    Information Science and Engineering, Hunan University. His main research fields are bioinformatics, high performance computing and blockchain.
    In this paper, he is mainly responsible for the guidance of research direction and manuscript construction.
    E-mail: slpeng@hnu.edu.cn|李肯立,湖南大学信息科学与工程学院,教授,博士生导师,主要研究方向为高性能计算、并行计算、人工智能。
    本文承担工作为框架的结构设计、研究指导。
    Li Kenli is a professor of School of Information Science and Engineering, Hunan University. His main research fields are high performance computing, parallel computing and artificial intelligence.
    In this paper, he is mainly responsible for the structure design and research guidance of the frame.
    E-mail:|蒋洪波,湖南大学信息科学与工程学院,教授,博士生导师,主要研究方向为移动计算、物联网与网络大数据。
    本文承担工作为物联网方向的研究指导。
    Jiang Hongbo is a professor of School of Information Science and Engineering, Hunan University. His main research fields are high mobile computing, the Internet of things and network big data.
    In this paper, he is mainly responsible for the research guidance of Internet of things.
    E-mail: hongbojiang2004@gmail.com|龙承念,上海交通大学电子信息与电气工程学院,教授,博士生导师,主要研究方向为区块链、群智感知与移动计算。
    本文承担工作为问题的分析和论文的指导。
    Long Chengnian is a professor of Department of Automation, Shanghai Jiao Tong University. His main research fields are blockchain, crowdsourcing and mobile computing.
    In this paper, he is mainly responsible for problem analysis and research guidance of the frame.
    E-mail: longcn@sjtu.edu.cn
  • 基金资助:
    国家重点研发计划(2017YFB0202602);国家重点研发计划(2018YFC0910405);国家重点研发计划(2017YFC1311003);国家重点研发计划(2016YFC1302500);国家重点研发计划(2016YFB0200400);国家重点研发计划(2017YFB0202104);国家自然科学基金(U19A2067);国家自然科学基金(U61772543);国家自然科学基金(U1435222);国家自然科学基金(61625202);国家自然科学基金(61272056);湖南省杰出青年基金(2020JJ2009)

Chinese Herbal Quality and Safety Management Model Based on Blockchain

Liu Jiameng1,2(),Peng Shaoliang1,2,*(),Li kenli1,2(),Jiang Hongbo1(),Long Chengnian3()   

  1. 1. College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China
    2. National Supercomputing Centre in Changsha, Changsha, Hunan 410082, China
    3. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-07-10 Online:2020-10-20 Published:2020-10-30
  • Contact: Peng Shaoliang

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摘要：

【目的】本文针对目前频发的中草药造假现象,提出了一种基于区块链的中草药质量安全管理模型。通过利用区块链不可篡改、可追溯等特性整合中草药的生产、加工、交易等流程并进行管理。 【方法】使用信息分段加密的方法对企业的隐私信息进行加密;利用共享云存储解决信息占据本地存储空间过大的问题;同时使用公平主节点选举的共识机制适用动态网络增加选举的公平性和安全性。 【结果】利用区块链技术增加对中草药产品的把控能力,增加了作假的风险与难度,提高了系统的效率。 【局限】基于区块链的中草药质量安全管理模型正在不断的融合和发展当中,链上节点的数量可能一定程度上影响系统的效率。 【结论】本模型在对中草药造假监管方面具有一定价值,既实现了对隐私的保护又完成了对各个流程的监管。

关键词: 区块链, 物联网, 中草药, 生产监管, 溯源

Abstract:

[Objective] A Chinese herbal quality and safety management model based on blockchain is proposed to relieve rampant Chinese herbal counterfeits. It integrates and manages the production, processing, transportation, trading and other processes of Chinese herbal ensured by non-tamperable, decentralized, and traceable features of the blockchain. [Methods] In this model, the enterprise privacy information is protected by segmented encryption, local storage capacity limitations are surmounted through shared cloud drives, and the fairness and security are improved by the consensus mechanism of Fair Primary Selection for Byzantine Fault Tolerance in dynamic networks. [Results] This paper shows that the blockchain technology can increase the ability to control the quality of Chinese herbal, increase the risk and difficulty of fraud, reduce the cost of the supply chain, as the same to reduce unnecessarily repeated verification and improve the efficiency of the whole system. [Limitations] As the Chinese herbal quality and safety management model constantly integrating and developing, the number of nodes in blockchain may affect the efficiency of the system to some extent. [Conclusions] The Chinese herbal quality and safety management model based on blockchain has a certain value in the supervision of Chinese herbal fraud. This system meets the practical application needs, which not only realizes the protection of privacy data, but also completes the supervision of each process.

Key words: blockchain, the Internet of things, Chinese herbal, production supervision, traceability