Design And Implementation Of Temperature Prediction Detection Platform For Cows

In the global information today,dairy cattle breeding industry also ushered in the technological change.Traditional dairy farm information management and temperature detection of cows are not only inefficient,but also low accuracy,no timeliness at all.The information management of cow is imperative.The body temperature of cows is one of the important indexes of the health of cows.The purpose of this project is to establish a system integrating body temperature collection,cow information database,real-time monitoring of cow body temperature,prediction of cow temperature,and alarm of abnormal body temperature.The first chapter mainly introduces the significance of studying the body temperature of cows,the research status at home and abroad,the main research contents and the feasibility and innovation of the research contents.The second chapter mainly completes the design of the hardware part.The temperature measurement part is the rear ear canal of the cow.The temperature sensor adopts DS18B20,the coordinator and the data transmission device are CC2530 module and DTU data transmission module respectively.The third chapter mainly completes the model establishment of the body temperature prediction platform and the body temperature anomaly detection platform.The principle and method of temperature prediction and detection of cows were described in detail.Based on the ARIMA model in time series,the body temperature prediction model of cows was built.Based on the i Forest anomaly detection model,the time series data anomaly detection model was built.The fourth chapter completes the establishment of the software system.Including the database construction,back-end construction,user interface design,cloud server construction these contents.The user interface visually monitors all kinds of information about cows.The functions of basic information inquiry,temperature prediction and abnormal temperature alarm are realized.And when the abnormal temperature of the cow abnormal report through text message to inform the staff.Chapter five debugs the function of the system and tests the whole system.The whole system was able to operate successfully,and the systematic error of predicting the body temperature of cows was within 2%,and the accuracy of abnormal detection was more than 98%.Indicates that the system is successfully deployed and meets theexpected usage requirements.