Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Xin Zhang, Yue Li, Xiangzhen Peng, Zhiyao Zhao, Jiaqi Han and Jiping Xu
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Xin Zhang: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Yue Li: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Xiangzhen Peng: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Zhiyao Zhao: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Jiaqi Han: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Jiping Xu: School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China

IJERPH, 2022, vol. 19, issue 11, 1-21

Abstract: The grain and oil food supply chain has a complex structure, long turnover cycles, and many stakeholders, so it is challenging to maintain the security of this supply chain. A reliable traceability system for the whole grain and oil food supply chain will help to improve the quality and safety of these products, thus enhancing people’s living standards. Driven by the trusted blockchain and trusted identity concepts, this paper constructs an information traceability model for the whole grain and oil food supply chain, and it describes how contract implementation and example verification are performed. First, an information traceability model framework of the whole grain and oil food supply chain is established based on the survey and analysis of the grain and oil food supply chain. Second, trusted identification, blockchain master–slave multi-chain storage, and trusted traceability mechanisms are designed. The trusted identification mechanism is used to track the data information of the whole grain and oil food supply chain. The blockchain master–slave multi-chain storage solves the problem of miscellaneous information caused by many links in the whole grain and oil supply chain, while the credible traceability mechanism ensures the credibility of information collection, storage, and transmission. Finally, based on the data flow, the model operation process is analyzed. Using the information traceability model, the grain and oil food trusted traceability system is designed and developed with the Hyperledger Fabric open-source framework, and a case study is conducted to verify the system. The results show that the model and system constructed in this study solve the problems of low data security and poor sharing, which exist widely in the traditional traceability mechanism, and enable the trusted uplink, storage, processing, and traceability of multi-source heterogeneous information in the lifecycle of the whole grain and oil food supply chain. The proposed system improves the granularity and accuracy of grain and oil food traceability, and provides support for the strategic security of grain stock.

Keywords: grain and oil food; information traceability model; trusted blockchain; trusted identification; Hyperledger Fabric; food safety (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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