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Abstract In order to realize monitoring of cow health in real-time, a cow health detecting system based on STC12CSA60S2 microcontroller was presented. The system consisted of three parts, the lower comput- er which was based on MCU detection device, software on upper computer which was based on LabVIEW program and network server which was based on FTP （ File Transfer Protocol）. To detect dairy health pa- rameters of cows, a temperature sensor, a heart rate sensor and a motion sensor were used and the control core of lower computer adopted STC12CSA60S2 MCU. The lower computer concerned with upper com- puter and exchanged data with selectable mode, the serial port or WiFi. The software on upper computer was programmed by LabVIEW virtual instrument technology and concerned with lower computer in TCP （Transfer Control Protocol） for communicating and controlling. The health data was calculated with algo- rithm for diagnosing on upper computer and simple result for health was obtained and displayed. The net- work server was built up on a dedicated server computer and provided data services to the system through the FFP. The results of system testing were shown that validity of the detection data of the lower computer was 75% at most, the correct rate of the serial port transmission was 92% and rate of WiFi was 80% in indoor environment. To the upper computer, correct rate to exchange data with server service was 99% and the algorithm depends on the experience database was effective. The data of simulating test for the system were from ten cows with random selection and their heart rate, body temperature and motion meas-ures were detected with the system. The average body temperature and heart rate of 10 cows were 34. 5℃ and 63 times/min, the average motion measures were 163 times/min in daytime and 47 times/min in night time. The average data of 10 cows were get ＂ health, reliability rate： 88% ＂ after calculating thought the algorithm. It was applied, well worth to extension and hopefully to be reference for sim
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2017, Vol. 30 
