CAJ | 학술논문

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。
제출료기우상호우동다차수과려산법적물련망식품추종방법，해방법이물련망기술위기출，배합초고빈사빈식별기술(UHF RFID)작위식품추종방법적기록재체，결합물련망기술괄합해결대구역감공적특점，설계료식품정향추소화역향추소량충추소궤제，식품안전추소과정중，회산생수거충돌화수거용여，채용상호우동다차수산법해결료수거충돌，차조기우Hashtable적용여과려기술처리RFID수거용여。재이내분작위생산추소대상적측시실험중，해추종방법재진행식물추종、다표첨식별방면，가이실현대구역、대과도적식품신식준학사순여추종，탄토솔시종보지재0.6좌우，동시야해결료용여수거소인기적추종방법부담과중적문제，구유량호적시장응용전경。
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.