奶牛身份射频识别系统的防冲突技术

    Anti-collision technique in the radio-frequency identification system for dairy cattle

    • 摘要: 确定奶牛身份是实现奶牛数字化养殖的关键和基础。为了提高奶牛识别中的灵敏度、准确率和防干扰性,在对射频识别技术深入研究的基础上,设计了奶牛身份识别系统整体方案;着重研究了长距离射频识别系统中多标签冲突问题,对防冲突时隙Aloha算法和二进制搜索算法进行了比较,并最终采用改进的二进制搜索算法,获得了理想的效果。在数据传输中,采取了对相同字段数据信息不发送的方法,减少数据交换时间。结果表明:该系统解决了多头奶牛进入射频区域后引起的冲突问题,使传感器采集的信息与奶牛个体实现了一一对应;算法的改进使传输时间节省38%,大大提高了奶牛的识别效率。

       

      Abstract: The identification of individual dairy cattle is the key and basis of digital dairy cattle feeding. In order to improve sensitivity, accuracy and anti-interference in dairy cattle identification, the whole scheme of the dairy cattle identification system was designed on the basis of in-depth researches of the radio-frequency identification technology. Focusing on the existing multi-tag collision of long distance RFID system, two anti-collision algorithms, namely, the binary search algorithm and slot-Aloha algorithm, were compared systematically, and the improved binary search algorithm was selected and finally the perfect effect was obtained. In the data transmission process, the method that the data with the same bits were not transmitted was used in order to reduce the data exchange time. The experimental results showed that the system prevented the conflicts caused by numerous cows stepping in the frequency field at the same time, making the sensor information match with that of the individual dairy cattle. Owing to the improved binary search algorithm, 38% of transmission time was saved and the identification efficiency was greatly improved.

       

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