| Literature DB >> 35682180 |
Xin Zhang1,2,3, Yue Li1,2,3, Xiangzhen Peng1,2,3, Zhiyao Zhao1,2,3, Jiaqi Han1,2,3, Jiping Xu1,2,3.
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.Entities:
Keywords: Hyperledger Fabric; food safety; grain and oil food; information traceability model; trusted blockchain; trusted identification
Mesh:
Year: 2022 PMID: 35682180 PMCID: PMC9180568 DOI: 10.3390/ijerph19116594
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Research review table.
| Category | Research Content | References |
|---|---|---|
| Blockchain-based food or crop traceability solution | Solve the problem of traceability of existing food or crops through blockchain technology | [ |
| Research on traceability of food or crops based on identification technology | Make the data information of the traceability system credible through identification technology | [ |
| Building a traceability solution based on the Internet of Things | Collect and identify information data through IoT devices | [ |
| Agriculture and the Circular Economy | Point out the importance of agriculture for circular economy through research literature | [ |
Figure 1Typical links in the whole supply chain of grain and oil food.
Figure 2Schematic diagram of the model frame.
Figure 3Trusted identity mechanism based on blockchain.
Figure 4Coding diagram.
Figure 5Data storage mechanism based on blockchain master–slave multi-chain.
Figure 6Credible traceability mechanism of the whole supply chain of grain and oil food.
Figure 7Schematic diagram of the operation process of the system model.
Figure 8System-relevant data information flow chart.
Figure 9Schematic diagram of the prototype system interface. (a) Shows the login interface of the system, the user selects the corresponding category to log in to the system to obtain permissions; (b) shows the main interface of the system, the main interface consists of two departments, and the top is the advertisement carousel of the merchants, and the bottom part shows the recent system login times and the number of rice batches that have been attacked recently; (c) shows the enterprise uploading relevant data interface, including grain and oil types, batches, links, company name, time, data summary and other information; (d) displays the traceability information of the corresponding supply chain link of the product.
Figure 10Traceability information query diagram. (a) Displays system QR code scanning interface; (b) Displays the interface for obtaining detailed data information after scanning is completed.
Figure 11Identification code verification statistics.
Figure 12Comparison of query time between single chain and master–slave multi-chain.
Figure 13Single-chain and master–slave multi-chain transaction throughput test chart.