基于RFID的货物行为姿态检测方法

A detection method of cargo attitude based on RFID

通过对射频识别(Radio Frequency Identification,RFID)在物流领域广泛应用现状及前景的分析,提出一种基于RFID的货物行为姿态检测方法。首先采用基于信号强度的加权质心定位算法对货物附着标签进行三维定位;然后扩充时间维度,获得姿态数据;最后,采用决策树分类方法对姿态数据进行划分,判断货物的异常行为。通过实验验证,该方法能够以极小的附加成本开销实现在途货物的行为姿态检测,具有较高的检测精度和实际应用价值。

Through the analysis of tile application statius and prospect of Radio Frequency Identification （ RFID） in logistics field, a kind of b e -havior and atitiude detection method based on RFID is proposed. First of all, the weighted centroid localization algorithm based on signal strengthi was adopted to locate the three-dimensional positioning of goods attached label. Then attitude data was obtained after extend the time dimension. Finally, decision tree classification method was used to divide the attitude data, to determine the abnormal behavior of the goods.Experiment verification shows that the method is able to detect the behavior of cargo in transit with minimal costs, with high accuracy and prac-ticality.