Livestock and poultry house breeding environment temperature prediction control system and regulation and control method thereof

Abstract

The invention discloses a livestock and poultry house breeding environment temperature prediction control system and a regulation and control method thereof. The control system comprises a temperature and humidity sensor, a breeding environment temperature dynamic demand module, an environment controller and an environment regulation and control execution mechanism, wherein the environment controller is respectively connected with the breeding environment temperature dynamic demand module and the temperature and humidity sensor, and the environment regulation and control execution mechanism is connected with the environment controller and executes corresponding environment regulation and control according to a command of the environment controller. The regulation and control method controls the breeding environment temperature according to a dynamic setting model of the livestock and poultry breeding environment temperature, a livestock and poultry house breeding environment temperature prediction system based on a GM (1, 1) model and a gray prediction fuzzy system based on the GM (1, 1) model. The problems that the temperature in the livestock and poultry house is difficult to regulate and control in time, the regulation and control adaptability is poor and preventive measures cannot be taken are solved, and the limitation of feedback regulation and control of the livestock and poultry house based on a detection result is overcome.

Description

technical field [0001] The invention relates to the technical field of agricultural environment control, in particular to a system for predicting and controlling the environment temperature of livestock and poultry houses and a control method thereof. Background technique [0002] In a high-density, large-scale house feeding environment, a suitable breeding environment is a key factor affecting the health and production performance of livestock and poultry, and is also the basis for ensuring their genetic potential and production efficiency. The complex and changeable climatic conditions, construction facilities of livestock and poultry houses, ventilation and air flow organization and feeding mode all directly affect the environment inside the house, resulting in the complexity and diversity of the environment inside the house. Stress and other factors affect the health, production performance, disease resistance and feed conversion rate of livestock and poultry. The large-...

AI Technical Summary

Problems solved by technology

[0006] (1) The control temperature is a limited value, which is difficult to control in real time and accurately, and cannot meet the needs of different growth stages for the ambient temperature: the set value of the ambient temperature in the livestock house is generally several or more specific temperature critical values, which cannot be set according to Scientifically set the temperature value according to the needs of different stages of livestock and poultry growth;

[0007] (2) It is difficult to adjust the environment in the house in time, there is hysteresis, and the control efficiency is poor

The environmental parameters in the house at that moment monitored by the sensor are used as indicators, and the environmental conditions in the house at the next moment are fed back and regulated. The research shows that the thermal environment system changes in livestock and poultry houses are dynamic, time-varying and uncertain. According to The temperature information of the controlled quantity can be measured to determine the controlled quantity. For the complex object of the environmental lag process of the livestock and poultry house, the change of the controlled quantity cannot respond to the change of the controlled quantity in time. Compared with the environmental conditions in the house, the environmental control strategy has obvious differences. Hysteresis, it is impossible to adjust the control strategy according to the prediction of the temperature change trend of the controlled quantity, and the control efficiency is poor

The local environment in the house is no longer within the range suitable for the growth of livestock and poultry, but the signal received by the environmental control system is still within the range of suitable environment. Cold and heat stress environment can easily lead to the occurrence of respiratory diseases;

[0008] (3) Low control precision

The response time of PID control is short but the overshoot is large, and the environmental temperature control system of livestock and poultry houses does not allow excessive overshoot; for fuzzy control, although the step-up response has a small overshoot, the response time is long and the step There is a negative overshoot in the decline, and the precision of fuzzy control is not high enough, so it can only realize the rough regulation of the livestock and poultry house environment; the self-regulation strategy based on the neural network algorithm is adaptable to the changes in the livestock and poultry house environment, but requires expert experience ;

[0009] (4) It is impossible to prevent problems before they happen, poor adaptability, and difficult to guarantee the quality of regulation

The climate and environment are complex and changeable, and the temperature outside the house will drop or increase suddenly in a short period of time. The feedback adjustment of the monitoring of the change of the environment inside the house cannot make a control strategy before the environment changes suddenly, and the environment inside the house cannot completely avoid the influence of the harsh environment. Makes the phenomenon of large cold and heat stress and large temperature fluctuations within a certain period of time in the house

The accuracy and strategy of environmental regulation are limited by the sensors in the house, which are directly affected by the monitoring accuracy of the sensors in the house, and the sensor abnormalities cannot be detected in time and continue to be used as the input module of the control system;

[0010] (5) It is not conducive to energy saving and increases the energy consumption of operation

The environment in the livestock and poultry house has nonlinear characteristics. The research shows that under the feedback environment control algorithm based on the detection results of the environmental parameters, there are system oscillations and overshoots. The number of stops and other problems will inevitably increase the energy consumption of the operation under the environment regulation operation mode

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