RFID识别中防碰撞侦测预警模型的应用方法

Application Method of Anti-collision Detection and Early Warning Model in RFID Identification

在对RFID标签的识别过程中若不能很好地解决碰撞问题,就会使系统效率大大降低,本研究设计出防碰撞侦测预警模型,为标签制定一定的响应顺序,从而避开或者消除碰撞。利用最优分组系数确定标签的分组组数,剩余标签随机选择响应分组。实验结果显示,本研究防碰撞侦测预警模型对RFID标签的识别率最高可达到80%以上,系统吞吐量达到0.5以上,有效解决了标签碰撞问题。

In the process of identifying RFID tags,if the collision cannot be resolved well,the efficiency of the system will be greatly reduced.In this study,an anti-collision detection and early warning model is designed to formulate a certain response sequence for tags to avoid or eliminate collisions.The optimal grouping coefficient is used to determine the number of grouping groups of tags,and the remaining tags randomly select response groups.The experiment results show that the anti-collision detection and early warning model of this study can achieve a recognition rate of over 80%of RFID tags,and the system throughput can reach over 0.5,which effectively solves the problem of tag collisions.