基于RFID木制品物流多目标识别算法的优化  

Optimization of the multi-object recognition algorithm based on RFID for woodwork logistics

作　　者：陈清耀 林宇洪[1] 邱荣祖[1] 

机构地区：[1]福建农林大学交通与土木工程学院,福建福州350002

出　　处：《福建农林大学学报（自然科学版）》2016年第4期476-480,共5页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

基　　金：福建省科技厅重点资助项目(2014H0010)

摘　　要：为了提高木制品物流多目标识别效率,选用基于ALOHA的动态帧时隙的防冲突算法,并采用概率学方法对RFID碰撞现象进行分析和仿真试验,设计了智慧的防冲突算法,实现了通过上一次扫描的标签数推算下一次扫描应开设的最优帧长.To improve the efficiency of multi-object recognition for woodwork logistics, an intellectual anti-collision algorithm was developed upon a ALOHA-based dynamic frame slotted anti-collision algorithm and analysis of simulation experiment on RFID colli-sion via probabilistic method. After validation, the new algorithm was capable of calculating the optimal frame length for next scan-ning based on the number of tags from previous scanning.

关 键 词：RFID SDK 多目标识别 防冲突算法 

分 类 号：F316.2[经济管理—产业经济]