Brooder temperature control method based on process neural network
A technology of process neural network and temperature control method, which is applied in the field of hatch temperature control based on process neural network, can solve the problem that it is difficult to establish an accurate mathematical model in the hatching process of poultry eggs, and cannot well ensure the stability of the temperature in the hatching process of poultry eggs Control and other issues to achieve the effect of improving the quality of chicks, increasing the hatching rate, and reducing fluctuations
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[0026] Such as figure 2 Shown is the process block diagram of the hatch temperature control method based on the process neural network of the present invention, and according to the process block diagram, the implementation steps are as follows:
[0027] Step 1: Establish an incubator temperature prediction model based on the process neural network:
[0028] (1) Data collection and fitting,
[0029] Every 1 second, the temperature of the incubation room is collected once, and the temperature value of each continuous 50 groups of incubation rooms is: x k ,x k-1 ,x k-2 ,...,x 1 , where k=50, perform quadratic polynomial fitting to obtain a time-varying function: x(t)=at 2 +bt+c, where the values of the fitting coefficients a, b, and c are obtained by fitting quadratic polynomials on site according to the data collected on site;
[0030] During the entire incubation process, a period of 50 seconds is randomly selected for analysis, and the temperature of the incubation r...
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