基于区块链的水产交易计量数据采集与传输研究
Research on data collection and transmission of aquatic trade measurement based on blockchain
尤伟伟 1张重阳 2冯国富 1陈明1
作者信息
- 1. 上海海洋大学信息学院,上海 201306;农业农村部渔业信息重点实验室,上海 201306
- 2. 上海海洋大学信息学院,上海 201306
- 折叠
摘要
为解决目前水产交易中手动录入计量数据易篡改、易丢失的问题,本研究提出一种基于区块链技术的水产交易计量数据采集与传输安全模型.首先设计一套基于树莓派的数据采集平台,用于数据的自动采集和录入;其次通过智能合约和共识机制保证所采集交易数据的传输与存储安全;最后,基于区块链技术设计一套水产交易计量数据采集与传输系统,实现水产交易计量数据采集和查询等功能,并基于Hyperledger Fabric平台搭建测试环境进行验证.结果显示,基于区块链技术的数据采集与传输系统可以有效地完成数据采集,保证数据传输与存储过程中的数据安全,数据传输率可达100%,丢包率相比传统传输系统更低.结果表明,本研究所提出的模型有效提高了数据的安全可靠性,提升了水产交易效率,更适合在实际水产交易中使用.
Abstract
In order to solve the current problem of manual measurement data entry in aquatic transac-tions that is susceptible to tampering and loss,this study proposes a secure model for collecting and trans-mitting such data,based on blockchain technology.Firstly,a data collection platform based on Raspberry Pi is designed for automatic data collection and input;Secondly,secure the transmission and storage of col-lected transaction data through smart contracts and consensus mechanisms;Finally,based on blockchain technology,a set of aquatic transaction measurement data collection and transmission system is designed to achieve aquatic transaction measurement data collection and query functions,and a test environment is built based on the Hyperledger Fabric platform for verification.The results show that the data collection and transmission system based on blockchain technology can effectively complete data collection,ensuring data security during data transmission and storage.The data transmission rate can reach 100%,and the packet loss rate is lower than traditional transmission systems.The results indicate that the model proposed in this study effectively improves the security and reliability of data,enhances the efficiency of aquatic product transactions,and is more suitable for practical applications in aquatic product transactions.
关键词
水产交易/计量数据/数据安全/区块链/Hyperledger/Fabric/树莓派Key words
aquatic product transactions/measurement data/data security/blockchain/Hyperledger Fabric/Raspberry Pi引用本文复制引用
出版年
2024
NETL
NSTL
万方数据