Incubating room humidity control method based on BP (back-propagation) neural network

A BP neural network, humidity control technology, applied in humidity control, biological neural network model, non-electrical variable control, etc., can solve the problem that the accurate mathematical model of the egg hatching process is difficult to establish, and cannot well guarantee the egg hatching process. Stability of temperature and humidity, etc.

Inactive Publication Date: 2013-09-18
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] The egg hatching process is a highly nonlinear, long-lag, time-varying, and strongly coupled agricultural production process, and the humidity in 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 sexual factors, it is difficult to establish an accurate mathematical model of the hatching process of poultry eggs, and traditional control methods cannot well ensure the stability of temperature and humidity during the hatching process of poultry eggs

Method used

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  • Incubating room humidity control method based on BP (back-propagation) neural network
  • Incubating room humidity control method based on BP (back-propagation) neural network
  • Incubating room humidity control method based on BP (back-propagation) neural network

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Embodiment 1

[0069] Such as figure 1 Shown, be the hatch room humidity control process block diagram based on BP neural network of the present invention, according to this process block diagram, implementation steps are as follows:

[0070] Step 1: Use BP neural network to predict the humidity of the hatch. The BP neural network is a three-layer double-input single-output model, and the hidden layer contains 3 neurons, of which

[0071] Input vector: x=(x 1 ,x 2 ), for the hatching room temperature and the hatching room humidity at the current moment collected by the temperature data acquisition module and the humidity data acquisition module,

[0072] Hidden layer input vector: h i =(hi 1 , hi 2 , hi 3 ),

[0073] Hidden layer output vector: h o =(ho 1 ,ho 2 ,ho 3 ),

[0074] Output layer input vector: y i ,

[0075] Output layer output vector: y o , is the predicted value of the hatch humidity in the next second at the current moment,

[0076] Expected output vector: d o...

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Abstract

The invention discloses an incubating room humidity control method based on a BP (back-propagation) neural network. The method comprises the following steps of: firstly forecasting the humidity of the incubating room through the BP neural network; and controlling valve opening of a humidifier through a fuzzy controller. The fuzzy controller input is the deviation of the humidity and the change rate of the deviation obtained through carrying out subtraction on a predicted value of expected humidity and the predicted value of the humidity of the incubating room output by the BP neural network in the next second; the output is electromagnetic valve opening of the humidifier; when the humidity of the incubating room is lower, the valve opening of the humidifier is increased, and the water spraying amount of the humidifier is increased, so that the humidity of the incubating room is increased, otherwise, the valve opening of the humidifier is reduced, so that the water spraying amount of the humidifier is controlled; and the humidity of the incubating room is controlled to fluctuate within a minimal range above and below the expected humidity, therefore, the humidity is stably controlled, and the hatching rate and the chick quality can be greatly improved.

Description

technical field [0001] The invention belongs to the field of hatching control, and relates to a method for controlling the humidity of a hatching room based on a BP 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. The task of hatching is to turn fertilized eggs into high-quality chicks as much as possible. During the hatching process of poultry eggs, temperature and humidity are the decisive factors that determine the success of hatching. Therefore, precise control of the humidity in the hatching process can not only improve Hatch rate, but also improve chick quality. [0003] The egg hatching process is a highly nonlinear, long-lag, time-varying, and strongly coupled agricultural production process, and...

Claims

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Application Information

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IPC IPC(8): G05D22/02G06N3/02
Inventor 周国雄
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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