基于LoRa无线传感网络的群养奶牛个体信息监测系统的设计与实现

Design and implementation of individual information monitoring system for herd cows based on LoRa wireless sensor network

针对中小奶牛场群养奶牛个体信息监控系统信息化水平不高以及提升其性价比为目的,设计了基于LoRa无线传感网络为基础的群养奶牛监控系统。该系统的监测节点通过电子耳标进行奶牛身份识别,配以相应传感器采集体温、心率以及运动状态信息,通过优化后的LoRa无线传感网络汇聚节点上传数据至后端监控平台以及移动终端的方法来实现。通过后端监控平台以及移动终端的通信效果实验可知,在传输距离不超过2.5 km的情况下,后端监控平台数据丢包率低于15%,而对20头奶牛的信息数据同步检测与查看,手机移动终端丢包率仅为5.3%~7.4%,能够满足传输距离更远、通信可靠性与稳定性更强的要求。

In response to the low level of information technology and the goal of improving the cost-effectiveness of individual information monitoring systems for small and medium-sized dairy farms,a sheep and cow monitoring system based on LoRa wireless sensor network was designed.The system uses monitoring nodes to identify cows through electronic ear tags,and is equipped with corresponding sensors to collect body temperature,heart rate,and motion status information.The optimized LoRa wireless sensor network is uploaded to the backend monitoring platform and mobile terminal through aggregation nodes to achieve this.Through the communication performance experiments on the backend monitoring platform and mobile terminals,it can be seen that the data packet loss rate of the backend monitoring platform is less than 15%when the transmission distance does not exceed 2.5 km.However,if the information data of 20 cows is synchronously detected and viewed,the packet loss rate of the mobile terminal is only 5.3%~7.4%,which can basically meet the requirements of longer transmission distance,stronger communication reliability and stability.