Agricultural product supply chain traceability system design based on master-slave alliance chain structure

Agricultural product supply chain traceability system design based on master-slave alliance chain structure
Zhang Yanli1
Li Bo2
1. Computer Science Dept. , Guangdong AIB Polytechnic, Guangzhou 510507, China
2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China

摘要

The current agricultural products supply chain traceability system has problems such as low data storage capacity, centralized management, poor scalability, and the inability to guarantee the privacy information of participants. This paper used the Hyperledger Fabric v2.0 platform to design an agricultural products supply chain traceability system based on master-slave federated chain structure to solve the above problems. This system used the constructed master-slave federated chain model to store information of the supply chain, and used the multi-channel design scheme of the federated chain to ensure the security of the private information of each participating subject in the supply chain. This system deployed IoT devices in each supply chain participant to collect, process and upload information to ensure that the information stored in the supply chain wasn't tampered with, safe and reliable. At the same time, this paper designed a smart contract between the master chain and the slave chain to determine the rationality of the information uploaded by each participant following the "National Food Safety Standard" to ensure the quality of the food at the source. In addition, it designed a clustered transmission method to upload the large amount of data generated by IoT devices in the farm with low energy consumption. The experimental results show that the system builds the agricultural products supply chain with low latency and returns the information for consumer queries in a shorter time. Meanwhile, the clustered transmission method can significantly reduce the energy consumption generated by uploading data from IoT devices. The designed agricultural products supply chain traceability system realizes the openness and transparency of the agricultural products supply chain, improves the efficiency of supply chain information traceability, and increases consumers' food safety trust.

基金项目

国家自然科学基金资助项目(61772387)
广东省高校科研平台特色创新项目(2020KTSCX275)
广州市科技创新发展专项资金资助项目(202102080614)

出版信息

DOI: 10.19734/j.issn.1001-3695.2021.11.0624
出版期卷: 《计算机应用研究》 Printed Article, 2022年第39卷 第6期
所属栏目: Technology of Blockchain
出版页码: 1638-1644
文章编号: 1001-3695(2022)06-006-1638-07

发布历史

[2022-01-25] Accepted Paper
[2022-06-05] Printed Article

引用本文

张燕丽, 李波. 基于主从联盟链结构的农产品供应链追溯系统方案设计 [J]. 计算机应用研究, 2022, 39 (6): 1638-1644. (Zhang Yanli, Li Bo. Agricultural product supply chain traceability system design based on master-slave alliance chain structure [J]. Application Research of Computers, 2022, 39 (6): 1638-1644. )

关于期刊

  • 计算机应用研究 月刊
  • Application Research of Computers
  • 刊号 ISSN 1001-3695
    CN  51-1196/TP

《计算机应用研究》创刊于1984年,是由四川省科技厅所属四川省计算机研究院主办的计算技术类学术刊物。

《计算机应用研究》瞄准本学科领域迫切需要的前沿技术,及时反映国内外计算机应用研究的主流技术、热点技术及最新发展趋势。主要刊载内容包括本学科领域高水平的学术论文、本学科最新科研成果和重大应用成果。栏目内容涉及计算机学科新理论、计算机基础理论、算法理论研究、算法设计与分析、区块链技术、系统软件与软件工程技术、模式识别与人工智能、体系结构、先进计算、并行处理、数据库技术、计算机网络与通信技术、信息安全技术、计算机图像图形学及其最新热点应用技术。

《计算机应用研究》拥有众多高层次读者、作者,读者对象主要为从事计算机学科领域高、中级研究人员及工程技术人员,各高等院校计算机专业及相关专业的师生。多年来《计算机应用研究》的总被引频次及Web下载率一直名列本学科同类学术刊物前茅,所刊发的学术论文以其新颖性、学术性、前瞻性、导向性、实用性而备受广大读者的喜爱。


收录和评价

  • 第二届国家期刊奖百种重点期刊
  • 中国期刊方阵双效期刊
  • 全国中文核心期刊(北大2023年版)
  • 中国科技核心期刊
  • 中国科学引文数据库(CSCD)来源期刊
  • RCCSE中国核心学术期刊
  • 中国计算机学会会刊
  • 2020—2022年科技期刊世界影响力指数(WJCI)报告收录期刊
  • 中国科技期刊精品数据库全文来源期刊
  • 中国学术期刊综合评价数据库来源期刊
  • 《中国期刊网》《中国学术期刊(光盘版)》来源期刊
  • 2017—2019年中国国际影响力优秀学术期刊(自然科学与工程技术)
  • 中国精品科技期刊顶尖学术论文(F5000)项目来源期刊
  • 《中国工程技术电子信息网》《电子科技文献数据库》来源期刊
  • 英国《科学文摘》(INSPEC)来源期刊
  • 《日本科学技术振兴机构数据库》(JST)来源期刊
  • 俄罗斯《文摘杂志》(AJ, VINITI)来源期刊
  • 美国《艾博思科学术数据库》(EBSCO)全文来源期刊
  • 美国《剑桥科学文摘(自然科学)》(CSA(NS))核心期刊
  • 波兰《哥白尼索引》(IC)来源期刊
  • 美国《乌利希期刊指南(网络版)》(Ulrichsweb)收录期刊