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

Inactive Publication Date: 2013-07-10
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Problems solved by technology

[0003] The egg hatching process is an agricultural production process with highly nonlinear, large lag, time-varying characteristics and strong coupling, and the temperature of the egg hatching process is often affected by uncertainty and randomness such as ventilation, power grid fluctuations, and peripheral equipment. Due to the influence of se...

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  • Brooder temperature control method based on process neural network
  • Brooder temperature control method based on process neural network
  • Brooder temperature control method based on process neural network

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Embodiment 1

[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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Abstract

The invention discloses a brooder temperature control method based on a process neural network. The brooder temperature control method comprises the following steps: performing temperature acquisition and data fitting; taking the acquired and fitted temperature function as input of the process neural network, and predicting the temperature of the next second of the current time by employing the process neural network; subtracting the predicted brooder temperature value at the next second of the current time from the expected temperature value by to obtain temperature deviation, performing proportion integration differentiation (PID) control adjustment on the temperature deviation, controlling a temperature regulator in the brooder, and regulating the temperature at the next second in the brooder. The temperature in the brooder is sequentially acquired, subjected to data fitting and is predicted and controlled, the set value can be closely tracked by the brooder temperature, the brooder temperature is kept in a range of 0.3 DEG C around the given temperature, the fluctuation is small, and the hatching rate and hatching quality are greatly improved.

Description

technical field [0001] The invention belongs to the field of hatching control and relates to a method for controlling the temperature of a hatching room based on a process neural network. Background technique [0002] With the continuous improvement of people's living standards, the demand for poultry (such as chickens, ducks, geese, pigeons, etc.) has increased significantly. In order to meet people's demand for meat poultry, it is necessary to carry out large-scale meat poultry hatching. In the hatching process of poultry eggs, it is necessary to ensure that the fertilized eggs become high-quality chicks as much as possible. Temperature is the decisive factor that determines the success of hatching. Can improve chick quality. [0003] The hatching process of poultry eggs is a highly nonlinear, large-delay, time-varying, and strongly coupled agricultural production process, and the temperature of the hatching process is often affected by uncertainty and randomness such as...

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Application Information

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IPC IPC(8): G05B13/00
Inventor 周国雄
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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