基于双随机寻址RFID组网分割的大棚温度监测

Greenhouse Temperature Monitoring Based on Double Randomly Addressing of RFID Network Division

传统的自动化大棚温度监测方法采用基于ZigBee的无线组网方法,基于中心唤醒中断机制,辅助以温度传感采集,通过自动标签识别与随机自组网方法,实时监测大棚温度,此方法在大面积监测时需要布设许多节点,且远距组网通信质量不佳。提出一种基于双随机寻址RFID组网分割的大棚温度监测方法,对系统所有RFID节点采用地址编码方式进行排布,通过双随机寻址方式对节点进行精确定位,采用临界决策树组网分割方法将系统节点划分为多个单元,并基于单元合成矢量与系统采集节点进行数据传输,提高传输信号质量。采用远距离温度监测进行测试,结果显示在远距监测时,该方法效果明显优于传统组网方法,对于大面积大棚温度监测具有较好的应用性能。

The automated greenhouse temperature monitoring with ZigBee-based wireless networking is used in traditional method, the wake-up interrupt mechanism is used, assisted by the temperature sensor acquisition, through the automatic tag identification and random self networking method, the real-time monitoring of greenhouse temperature is achieved, this method requires a large number of nodes in greenhouse, when the distance is far, the quality is poor. Greenhouse tempera-ture monitoring based on double randomly divided addressing of RFID network is proposed, for all nodes in the system, the RFID address coding manner is arranged by double random addressing precise positioning of the nodes, and the critical net-work segmentation tree methods is carried out to divide the system nodes into multiple units, with the synthetic vector data transmission system acquisition nodes, the transmission signal quality is improved. A remote temperature monitoring test is carried out, the results show that in the remote monitoring, this method has better ability than the traditional networking method for large-scale greenhouse temperature monitoring.