基于相互扰动多叉树过滤的物联网食品追踪  

Food Tracking of Internet of Things Based on Mutual Interference and Multiple Tree Filtering

作　　者：况爱农 

机构地区：[1]泸州职业技术学院信息工程系,四川泸州646005

出　　处：《科技通报》2014年第8期53-55,共3页Bulletin of Science and Technology

基　　金：四川教育部高校硕士点基金(201001120007)

摘　　要：提出了基于相互扰动多叉树过滤算法的物联网食品追踪方法,该方法以物联网技术为基础,配合超高频射频识别技术(UHF RFID)作为食品追踪方法的记录载体,结合物联网技术适合解决大区域监控的特点,设计了食品正向追溯和逆向追溯两种追溯机制,食品安全追溯过程中,会产生数据冲突和数据冗余,采用相互扰动多叉树算法解决了数据冲突,借助基于Hashtable的冗余过滤技术处理RFID数据冗余。在以奶粉作为生产追溯对象的测试实验中,该追踪方法在进行食物追踪、多标签识别方面,可以实现大区域、大跨度的食品信息准确查询与追踪,吞吐率始终保持在0.6左右,同时也解决了冗余数据所引起的追踪方法负担过重的问题,具有良好的市场应用前景。Combining with the characteristics of the Internet of things technology is suitable for solving large area monitor-ing, design the food normal trace and reverse back two back mechanism, in the process of food safety traceability will gener-ate data and data redundancy and conflict with each other disturbance multiple tree algorithm solves the data conflict, with the help of redundancy filtering technology based on Hashtable handle RFID data redundancy. As objects that in milk pow-der production traceability test experiment, the tracking method in terms of tracking, multiple tags identification for food, can achieve large area, large span of food information query and accurate tracking, throughput have stayed at about 0.6, but also solves the burden caused by the redundant data tracking method, has the good market application prospect.

关 键 词：物联网 追踪方法 相互扰动 冗余过滤 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]