Abstract. Timely and effective detection of bovine mastitis has important significance. By monitoring the milk conductivity values and other parameters, is to automate the monitoring cow health, is the basis of the prevention of bovine mastitis infection. This design is based single-chip microcomputer processing core control sensor measurement unit, data transmission unit, display and control unit, online monitoring system to achieve real-time data collection, transmission, display and other control functions. For the relationship between electrical conductivity and the feedback voltage, we conducted simulation experiments and selected the appropriate mathematical models. Simulation results show that the conductivity measurement piecewise linear model is better, fitter factor. System better meet the monitoring requirements for the prevention of udder disease go far to provide effective technical means.
Bovine mastitis is one of the common diseases in the dairy industry, and is also caused by the loss in the dairy industry. Timely and effective detection of bovine mastitis has important significance. By monitoring the milk conductivity values and other parameters, is to automate the monitoring cow health, is the basis of the prevention of bovine mastitis infection. This design is based single-chip microcomputer processing core control sensor measurement unit, data transmission unit, display and control unit, online monitoring system to achieve real-time data collection, transmission, display and other control functions. For monitoring the conductivity values were piecewise linear model of the relationship between the conductivity and the feedback voltage power function curve model comparison with simulation experiment. Simulation results show that the conductivity measurement piecewise linear model is a better, fitter factor, the average relative error is 2.31% lower, measuring range is 0.7 ms / cm-11.7ms / cm. The error of measuring the overall system is of relative low ratio, but the accuracy is higher, and better meets the needs of real-time monitoring, for cow health management and prevention of bovine mastitis or other diseases provide effective technical means.
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