一个基于区块链的粮食和石油食品供应链可追溯性模型
Yuan Zhang1,2,3, Xuyang Wu1,2,3, Hongyi Ge1,2,3
1Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.
Foods (Basel, Switzerland)
|September 9, 2023
概括
本研究引入了一个区块链和机器学习模型,以提高粮食和石油食品供应链的可追溯性和安全性. 新系统提高了数据真实性,存储效率和容错性,保障了粮食安全.
科学领域:
- 农业科学 农业科学
- 计算机科学 计算机科学
- 信息技术 信息技术 信息技术
背景情况:
- 粮食和石油食品供应链是复杂的,数据改和假冒产品等问题威胁到安全.
- 现有的可追溯系统与链条的复杂性,跨区域性和众多参与者作斗争.
研究的目的:
- 为粮食和石油食品供应链开发基于区块链的可追溯性模型.
- 提高供应链内的数据真实性,可靠性和存储效率.
主要方法:
- 一种结合区块链和机器学习的新方法来处理异常数据并确保源数据的完整性.
- 开发一种轻量级的区块链存储方法和数据恢复机制.
- 使用Hyperledger Fabric实现一个可追溯系统.
主要成果:
- 拟议的模型实现了多源异质数据上传,轻量化存储和数据恢复.
- 公共和私人数据的平均查询延迟分别为0.42s和0.88s.
- 平均数据恢复延迟为1.2s,显示出更好的故障耐受性.
结论:
- 基于区块链的可追溯系统显著提高了粮食和石油食品供应链的安全性和可靠性.
- 该模型为数据管理,可追溯性和故障耐受性提供了一个强大的解决方案,这对于中国的食品安全至关重要.
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