| CPC A01K 29/005 (2013.01) [A01K 1/0052 (2013.01); A01K 1/007 (2013.01)] | 5 Claims |
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1. A regulatory method, based on a predictive control system for a temperature of a livestock house that comprises a temperature and humidity sensor, a breeding environment temperature dynamic requirement module, an environmental controller, and an environmental regulation implementation mechanism, wherein the environmental controller is connected to the breeding environment temperature dynamic requirement module and the temperature and humidity sensor; and the environmental regulation implementation mechanism is connected to the environmental controller and is configured to perform a corresponding environmental regulation according to a command from the environmental controller;
wherein the environmental controller comprises a data acquisition module, an environmental temperature prediction module, a predictive fuzzy control module, a predictive fuzzy decision-making module, and an early warning and overhauling module;
wherein the regulatory method comprises:
controlling a temperature of a breeding environment based on a livestock breeding environment temperature dynamic setting model, a livestock breeding environment temperature prediction system based on a grey model (GM) (1,1), and a grey predictive fuzzy system based on the GM (1,1), and comprises following steps:
(S1) determining a required temperature Tx of an environment in a livestock house at time N based on the breeding temperature dynamic requirement model of the livestock; and
dynamically setting, by the livestock breeding environment temperature dynamic setting model, a temperature parameter based on a model of parameters of a livestock breeding characteristic, a behavioral characteristic, a stress mechanism, a livestock breed, a quality, and an age in days;
(S2) predicting a breeding environment temperature of the livestock house based on the GM (1,1); and
acquiring a predicted temperature Ty of the environment in the livestock house at time N, wherein a system and method for predicting an environment in a livestock house by the model based on a comprehensive GM (1,1) integrated with accumulated generating operation (AGO) of a sequence, residual model correction, and equal-dimension new information processing comprise the following steps:
accumulating historical temperature data from a data acquisition module to generate an accumulated sequence, establishing the GM (1,1), and solving the model to obtain a time response function;
obtaining a predicted value using the GM (1,1) for residual test, and in combination with a changing characteristic of a residual sequence and an advantage of a residual GM (1,1), establishing the residual GM (1,1) for a sequence failing to pass a model test or having low accuracy to correct the original model;
selecting a number of dimensions of a prediction model by using a residual or accuracy test of the model; and
performing equal-dimension new information processing to establish an equal-dimension new information predicting GM (1,1), and repeating the test and correction of the model;
(S3) determining whether the required temperature Ty of the breeding environment of the livestock is equal to the predicted temperature Ty, wherein if Tx=Ty, maintaining an original regulatory strategy of the environmental regulation implementation mechanism and wherein if Tx≠Ty, regulating the environmental regulation implementation mechanism by the grey predictive fuzzy control system based on the GM (1,1), and proceeding to (S4); and
(S4) setting a prediction error output by a livestock breeding environment prediction module and a changing rate of the prediction error as input quantities to the predictive fuzzy control module;
setting an error of input and output and a changing rate of the error as input signals to the predictive fuzzy decision-making module;
determining an appropriate prediction step;
establishing a fuzzy decision-making rule;
establishing a grey predictive fuzzy control model based on the GM (1,1) to determine a final output value for fuzzy control; and
controlling an environmental regulatory device based on an output quantity for predictive fuzzy control, wherein if Ty<Tx, the system automatically enters a heating mode, and wherein if Ty>Ty, the system automatically enters a wet curtain cooling mode; and
causing the temperature of the livestock house to meet a livestock temperature requirement Tx=Ty, and repeating steps (S1) and (S2); and
(S5) determining whether the required temperature Ty is equal to a measured temperature Tc, wherein if |Tx−Tc|>0.5° C., the system automatically enters an accumulation mode and wherein when a number of accumulations is more than 5, the system performs early warning, triggering an overhaul of the temperature and humidity sensor and the environmental regulation implementation mechanism according to the early warning.
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