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基于物联网的生猪养殖健康监测系统研究

Research on health monitoring system of pig breeding based on internet of things

  • 摘要: 为了提高生猪养殖场的自动化水平,试验设计了一种基于无线局域网(wireless fidelity, WiFi)和Android的生猪健康监测系统,即采用MLX90614红外测温传感器实时获取猪只体温,采用MAX30102传感器实时获取猪只心率,采用路由器搭建局域网,采用“1+200”的上位机、下位机组合控制模式,上位机和下位机之间基于传输控制协议(transmission control protocol, TCP)传输数据,利用手机应用程序(application, APP)远程监测每头猪的生理状态,基于报警监测算法在系统监测到异常情况时利用控制器报警,同时将信息通过上位机传递给养殖人员,并且在黄石某中小规模生猪养殖场利用人工测量对该系统的精度、普适性(指是否适用于断奶仔猪、生长猪、育肥猪、怀孕母猪)和准确率进行了验证。结果表明:该系统监测的体温结果与人工检测的最大偏差为±0.2℃,监测的心率指标结果与人工检测的最大偏差为±2次/min;可准确监测断奶仔猪、生长猪、育肥猪、怀孕母猪的体温和心率指标;对断奶仔猪、生长猪、育肥猪健康状态的正确报警率为80%~95%,误报警率为5%~20%。说明该系统的监测结果稳定性、精度、可靠性较高,可以实现实时远程监测猪只的健康状态,适用于中小规模生猪养殖场的生猪健康监测。

     

    Abstract: In order to improve the automation level of pig farms, a pig health monitoring system based on wireless fidelity(WiFi) and Android was designed in the experiment, that is, MLX90614 infrared temperature sensor was used to obtain the body temperature of pigs in real time; MAX30102 sensors was used to obtain pig heart rate in real time; routers were used to build local area networks; a “1+200” control mode of upper and lower computers was adopted; data was transmitted between the upper computer and the lower computer based on transmission control protocol(TCP); the physiological state of each pig was monitored remotely by mobile phone application(APP). When the system detected abnormal conditions, the alarm monitoring algorithm was used to control the alarm alarm, and the information was transmitted to the breeding personnel through the host computer. In a small and medium-sized pig farm in Huangshi, the accuracy, universality(referring to whether it was suitable for weaned piglets, growing pigs, fattening pigs, pregnant sows) and accuracy of the system were verified by manual measurement. The results showed that compared with the manual detection results, the maximum deviation of body temperature monitored by the system was ±0.2 ℃, the maximum deviation of heart rate was ±2 times/min; the body temperature, heart rate of weaned piglets, growing pigs, fattening pigs and pregnant sows were monitored accuratly by the system; and the correct alarm rate for the health status of weaned piglets, growing pigs, fattenings pigs was 80%-95%, and the false alarm rate was 5%-20%. The results indicated that the stability, accuracy and reliability of the monitoring results of the system were high, which could realize real-time remote monitoring of pig health status, and was suitable for pig health monitoring in small and medium-sized pig farms.

     

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