奶牛体温植入式传感器与实时监测系统设计与试验
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国家自然科学基金项目(61473235)和国家重点研发计划项目(2017YFD0701603)


Design and Experiment of Implantable Sensor and Real-time Detection System for Temperature Monitoring of Cow
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    摘要:

    针对接触式奶牛体温检测方法测量精度低、实时性差,且易引起交叉感染等问题,设计了奶牛体温植入式传感器,并开发了相应的体温实时监测系统,利用无线传感网络实现奶牛体温信号的智能化监测。奶牛体温植入式传感器利用PT1000铂电阻作为温度测量探头,综合利用ADS1256模数转换器、MSP430控制芯片,对采集到的电压进行滤波处理,提高了测量精度。结合433M无线信号模块与ZigBee网络设计了项圈节点,作为将奶牛的体温数据从体内传到体外的中继节点,其中从奶牛体内传输到项圈节点使用433M无线信号模块,项圈节点再到远程监控中心使用2.4GHz的ZigBee网络,从而达到稳定、可靠传输的效果,实现了奶牛体温的高精度实时监测。分别对传感器准确性、稳定性、反应速度、传输性能及系统丢包率进行试验,结果表明,传感器温度测量误差在0.05℃以内,12h内温度最大波动为0.02℃,在15s内稳定,植入式传感器射频(RF)信息能有效传输至项圈节点,单个牛场内,整体系统的丢包率不超过1.2%,可高精度、实时检测奶牛的体温变化。

    Abstract:

    Considering the shortcomings of contact thermometer, such as low precision, poor real-time performance and cross-infection, a body temperature implantable sensor of cow was developed to realize the intelligent detection of cow body temperature signal by using wireless sensor network. PT1000 was used as temperature measuring probe, and the analog-to-digital converter ADS1256 and control chip MSP430 were used to filter the acquisition voltage and improve the accuracy. The 433M wireless signal module was used in conjunction with the ZigBee network to design the collar node, as a relay node that transmitted cow body temperature data from body to outside. In details, the 433M wireless signal was transmitted from cow to collar node, then the 2.4GHz ZigBee network was used from collar node to remote monitoring center, which worked more stable and reliable, realizing high-precision real-time monitoring of temperature. The sensor accuracy, stability, reaction speed, transmission performance and system packet loss rate were tested, respectively. The results showed that the designed sensor temperature measurement error was less than 0.05℃, the maximum fluctuation of 12h temperature measurement was 0.02℃, which was stable within 15s. The information can be effectively transmitted to the collar node by using implantable sensor RF. Inside one cattle farm, the packet loss rate of the whole system was no more than 1.2%, providing important data for cow estrous prediction and disease prevention. Vaginal temperature could become a good indicator for predicting not only the onset of calving, but also the necessity of assistance. The research result can also be a reference for other animals’ temperature detection.

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何东健,刘畅,熊虹婷.奶牛体温植入式传感器与实时监测系统设计与试验[J].农业机械学报,2018,49(12):195-202.

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  • 收稿日期:2018-09-03
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  • 在线发布日期: 2018-12-10
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