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作 者:李莹[1] 瞿红红 王佳[1] 何自芬[1] LI Ying;QU Honghong;WANG Jia;HE Zifen(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650504,China)
机构地区:[1]昆明理工大学机电工程学院,云南昆明650504
出 处:《湖南大学学报(自然科学版)》2023年第8期172-180,共9页Journal of Hunan University:Natural Sciences
基 金:国家自然科学基金面上项目(62171206)。
摘 要:为了解决烟草供应链各环节数据海量异构、企业间信息壁垒高筑、追溯数据可信度低、监管乏力等问题,运用超级账本(Hyperledger Fabric)构建烟草区块链多链追溯系统,设计多链数据存储与监管模型,利用多链结构实现追溯数据共享与隐私数据隔离;应用Raft共识算法,制定背书策略,并通过设计智能合约实现消费者追溯及监管部门精准监管;同时开发追溯系统去中心化应用(DAPP),便于用户使用.为验证追溯系统可行性,利用Caliper对区块链多链追溯系统进行性能测试.在网络性能方面,区块链网络吞吐量稳定维持在150 tps;在可信度方面,区块链交易成功率100%;在合约效率方面,写入吞吐量稳定在150 tps,查询最低延时稳定在0.01 s,平均延时0.026 s.结果表明:该系统满足实际应用性能要求,能实现消费者防伪溯源、监管部门精准监管的需求.To solve the problems of massive and heterogeneous data in the tobacco supply chain,high information barriers between enterprises,low trustworthiness of traceability data,and lack of supervision,a tobacco blockchain multi-chain traceability system was built using Hyperledger Fabric.This system implemented a multichain data storage and supervision model,enabling traceable data sharing and privacy data isolation through its multi-chain structure.Raft consensus algorithm was applied to develop an endorsement strategy,while smart contracts were designed to achieve the traceability for consumers and precise supervision for regulators.At the same time,a decentralized application(DAPP)for the traceability system was developed,ensuring user-friendly operations for consumers.To verify the feasibility of the traceability system,Caliper was used to conduct performance tests on the blockchain multi-chain traceability system.In terms of network performance,the blockchain network throughput was stable at 150 tps.In terms of trustworthiness,the blockchain transaction success rate was 100%.As for smart contract efficiency,the write throughput was stable at 150 tps,with the minimum query latency of 0.01 s and an average latency of 0.026 s.The results proved that the system met the performance requirements of practical application and was capable to realize the needs of anti-counterfeit traceability for consumers and accurate supervision for regulatory authorities.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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