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机构地区:[1]宁夏大学物理电气信息学院,银川750021 [2]湖南大学电气与信息工程学院,长沙410082
出 处:《食品工业》2014年第12期247-250,共4页The Food Industry
基 金:国家自然科学基金(51377049)资助项目;宁夏大学自然科学基金(ZR1259)
摘 要:为提高烟草防伪水平并对烟草质量精确溯源,提出基于物联网的烟草防伪与烟草质量溯源方法,研究适用于RFID的混沌加密算法,建立烟草防伪与质量溯源系统数据模型,设计基于物联网的烟草防伪与质量溯源系统架构,实现对烟草产品的生产、流通、销售等环节进行监控追踪,提高烟草防伪水平和实现烟草质量精确溯源。系统的运行,能够对烟草行业的生产、存储、流通和消费环节实现有效管控,对于烟草行业的质量管理具有重要意义。In order to raise the anti-counterfeiting level of tobacco and guarantee the accuracy of drawback source-tracing, a set of solution of tobacco anti-counterfeiting and quality traceability system based on the internet of things were put forward in this thesis. The major research topics of this thesis include the chaotic encryption algorithm suitable for RFID; the data model design for tobacco anti-counterfeiting and quality traceability system; the system architecture based on internet of things were also illustrated in detail. Via the application of this system it will effectively solve the security problem of tobacco products. The system is stable and reliable and easy to operate. The real time monitoring and control of production, storage, distribution and consumption of tobacco can be realized.
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