Intelligent disinfection and humidification system and method for closed hog house

Abstract

The invention relates to the technical field of intelligent control, and provides an intelligent disinfection and humidification system and method for a closed hog house, and the system comprises an environment detection assembly which detects the temperature parameter and the humidity parameter of a target hog house; the environment control component is used for executing environment control action on the target hog house; and the main control module is used for establishing and solving a nonlinear feedback system by taking the temperature parameter and the humidity parameter as a control state, taking the environment control action as a control basis and taking a second-order nonlinear function between a historical control state fitted by a neural network and the environment control action as a control logic so as to obtain an environment control instruction that the target pig house reaches a final state. The pig house regulation and control instruction is obtained through the neural network by analyzing the bacterial propagation characteristics, combining the requirements of pig breeding for temperature and humidity, utilizing the collected real-time data of the pig house and combining the air flow characteristics of the pig house, so that the state of the pig house reaches the target state, and the disinfection efficiency and disinfection effect of the pig house are improved; and intelligence and automation of hog house environment management are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent disinfection and humidification system and method for a closed pig house. Background Art

[0002] In closed pig houses, due to limited air circulation, bacteria and viruses can easily breed and spread, increasing the risk of disease outbreaks. The intelligent disinfection system automatically sprays disinfectant through timed or real-time monitoring to effectively kill pathogens and reduce infection rates. The humidification system reduces dust in the air by adjusting humidity to prevent respiratory diseases, while relieving heat stress through evaporative cooling in hot seasons. This system not only improves the air quality and hygiene level in the pig house, but also reduces the complexity and errors of manual operations, achieving efficient and accurate environmental management.

[0003] Most existing methods are manual disinfection, which involves spraying chemicals to disinfect closed pig houses. However, bacteria may move with the air flow caused by the pressure difference during spraying, resulting in incomplete disinfection of closed pig houses. In addition, since the disinfectant contains water, manual disinfection cannot control the amount of chemicals used during spraying, so the pig house environment may be too humid, and a humid environment is conducive to the growth of bacteria. After disinfection, the bacteria in the pig house will grow and reproduce at a very fast rate, thus failing to achieve the ideal disinfection effect.

[0004] Therefore, how to improve the disinfection efficiency and effect of pig houses and enhance the intelligence and automation of pig house environmental management is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a closed pig house intelligent disinfection and humidification system and method, aiming to solve the above-mentioned problems in the prior art.

[0006] The first aspect of the present invention provides a closed pig house intelligent disinfection and humidification system, comprising: The environmental detection component includes at least one set of humidity and temperature measurement modules, which are configured to detect temperature parameters and humidity parameters of the target pig house; The environmental control component includes a medicine spraying module, a ventilation module and a dehumidification and humidification module, and is configured to perform environmental control actions on the target pig house according to the received environmental control instructions; Wherein, the environmental control action includes the ventilation action of the ventilation module, the medicine spraying action of the medicine spraying module and the dehumidification and humidification action of the dehumidification and humidification module; A main control module, including a control feedback model building unit and a state control unit; The control feedback model building unit is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and a second-order nonlinear function between historical control states and environmental control actions fitted by a neural network as control logic, so as to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in a target pig house; Wherein, the state control unit is configured to solve the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach the final state.

[0007] Optionally, the environment detection component specifically includes: Several groups of hygrometers and thermometers are arranged on the central axis of each corner of the target pig house; The several groups of hygrometers and thermometers are configured to collect several groups of humidity values ​​and temperature values ​​of the target pig house, and output the average values ​​of the several groups of humidity values ​​and temperature values ​​as the temperature parameters and humidity parameters of the target pig house.

[0008] Optionally, the medicine spraying module includes: A central pipeline is disposed on the top of the target pig house, connected to the distributed sprinkler and the medicine pumping device, and is configured to transport the spraying agent of the medicine pumping device to the distributed sprinkler; A plurality of distributed sprinklers are evenly spaced in the target pig house and are configured to be connected to a central pipeline to perform a spraying action on the delivered spray agent in the target pig house; The expression of the diameter of the central pipe is specifically: ; ; in, represents the pig house area, Indicates the coverage area of ​​a single distributed sprinkler. Indicates the number of distributed sprinklers, Represents the spraying rate of a single distributed sprinkler. Indicates the water flow velocity in the central pipe.

[0009] Optionally, the ventilation module specifically includes: An air inlet unit, comprising an air inlet provided at a lower portion of a side wall of a target pig house and an air inlet fan provided at the air inlet, and configured to drive air into the target pig house; The exhaust unit includes an exhaust port arranged on the upper side wall of the target pig house or the top of the target pig house and an exhaust fan arranged on the exhaust port, and is configured to drive the air in the target pig house to be discharged out of the target pig house to perform ventilation.

[0010] Optionally, the dehumidification and humidification module specifically includes: mist humidifiers and dehumidifiers; Wherein, the spray humidifier is arranged above the air inlet in the target pig house and is configured to perform a humidification action on the target pig house; Wherein, the dehumidifier is arranged below the exhaust port in the target pig house and is configured to perform dehumidification action on the target pig house.

[0011] Optionally, the control feedback model building unit specifically includes: The nonlinear feedback system establishment subunit is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and the second-order nonlinear function between the historical control states and environmental control actions fitted by the neural network as control logic, so as to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in the target pig house; The expression of the nonlinear feedback system is specifically: ; in, and represents the second-order nonlinear function between the historical control state and the environmental control action fitted by the two neural networks, express The average value of Indicates the current time of the target pig house status, and have the same meaning and are only used to distinguish their use in different expressions. Represents the control of the ventilation module. The input is the current state of the target pig house. The average state value at the time, The input is the state of the target pig house at the current moment. Including temperature and humidity parameters of the target pig house, It indicates the final state of the target pig house after regulation. and is the coefficient, Indicates that the target pig house is in state The state after the environmental control action, Indicates that the target pig house is in state The state after environmental control action.

[0012] Optionally, the final state of the target pig house is configured as follows: the temperature parameter of the target pig house is 20° C., and the humidity parameter is 50%.

[0013] Optionally, the state control unit specifically includes: The objective function construction subunit is configured to construct an objective function of the target pig house environment control according to the constructed nonlinear feedback system of the target pig house; The expression of the objective function is specifically: ; in, Indicates the ideal state of the target pig house, represents the weight of the neural network, T represents the transpose, and All represent coefficients, represents the learning rate. For all inputs, the labels are the states of temperature parameter 20℃ and humidity parameter 50%. and .

[0014] Optionally, the state control unit specifically includes: The control strategy solver unit is configured to obtain the weight of the neural network after a preset number of iterations. Perform QR decomposition to obtain the upper triangular matrix and the orthogonal matrix, divide the upper triangular matrix into three sub-matrices, sum the second sub-matrix and the third sub-matrix to generate a eigenvector, input the eigenvector into a fully connected layer, and use the output of the fully connected layer as the environmental control instruction for the target pig house to reach the final state.

[0015] The second aspect of the present invention provides a closed pig house intelligent disinfection and humidification method, comprising: Use environmental detection components to detect the temperature and humidity parameters of the target pig house; Using the environmental control component to perform environmental control actions on the target pig house according to the received environmental control instructions; wherein the environmental control actions include ventilation actions of the ventilation module, drug spraying actions of the drug spraying module, and dehumidification and humidification actions of the dehumidification and humidification module; The main control module uses temperature parameters and humidity parameters as control states, environmental control actions as control basis, and the second-order nonlinear function between the historical control states and environmental control actions fitted by the neural network as control logic, and establishes a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in the target pig house. The main control module solves the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach the final state.

[0016] The beneficial effects of the present invention are as follows: a closed pig house intelligent disinfection and humidification system and method are proposed, the system includes: an environmental detection component, detecting the temperature parameters and humidity parameters of the target pig house; an environmental control component, performing environmental control actions on the target pig house; a main control module, taking the temperature parameters and humidity parameters as the control state, taking the environmental control action as the control basis, and taking the second-order nonlinear function between the historical control state and the environmental control action fitted by the neural network as the control logic, establishing a nonlinear feedback system with temperature parameters and humidity parameters and environmental control actions in the target pig house; solving the nonlinear feedback system to obtain the environmental control instructions for the target pig house to reach the final state. The present invention analyzes the characteristics of bacterial transmission and combines the requirements of pig farming for temperature and humidity, uses temperature and humidity sensors to collect real-time data of the pig house, combines the characteristics of air flow in the pig house, and obtains the control instructions of dehumidification, dehumidification, and spraying of the pig house through a neural network, so that the state of the pig house meets the target state, improves the disinfection efficiency and disinfection effect of the pig house, and enhances the intelligence and automation of pig house environmental management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic diagram of the structure of the closed pig house intelligent disinfection and humidification system of this embodiment.

[0018] Figure 2 This is a schematic diagram of the process of the closed pig house intelligent disinfection and humidification method of this embodiment.

[0019] Reference numerals: 10-environmental detection component; 20-environmental control component; 30-main control module. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Embodiment 1: like Figure 1As shown, a closed pig house intelligent disinfection and humidification system includes: an environmental detection component 10, including at least one group of humidity and temperature measurement modules, configured to detect temperature parameters and humidity parameters of a target pig house; an environmental control component 20, including a drug spraying module, a ventilation module and a dehumidification and humidification module, configured to perform environmental control actions on the target pig house according to the received environmental control instructions; wherein the environmental control actions include ventilation actions of the ventilation module, drug spraying actions of the drug spraying module and dehumidification and humidification actions of the dehumidification and humidification module; a main control module 30, including a control feedback model building unit and a state control unit; wherein the control feedback model building unit is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and a second-order nonlinear function between historical control states and environmental control actions fitted by a neural network as control logic, to establish a nonlinear feedback system with temperature parameters, humidity parameters and environmental control actions in the target pig house; wherein the state control unit is configured to solve the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach a final state.

[0022] It should be noted that most existing methods are manual disinfection, which disinfects closed pig houses in the form of artificial spraying of medicaments, but bacteria may move with the air flow caused by the pressure difference during spraying, resulting in incomplete disinfection of closed pig houses. In addition, since the disinfectant contains water, manual disinfection cannot control the amount of medicament used during spraying, so the pig house environment may be too humid, and the humid environment is conducive to the growth of bacteria. After disinfection, the bacteria in the pig house will grow and reproduce at a very fast rate, thus failing to achieve the ideal disinfection effect. Therefore, how to improve the disinfection efficiency and disinfection effect of the pig house and enhance the intelligence and automation of the pig house environment management is a technical problem that needs to be solved urgently. In order to solve the above problems, this embodiment analyzes the characteristics of bacterial propagation and combines the requirements of pig farming for temperature and humidity, uses temperature and humidity sensors to collect real-time data of the pig house, combines the characteristics of air flow in the pig house, and obtains the control instructions of dehumidification, dehumidification, and spraying of the pig house through a neural network, so that the state of the pig house meets the target state, improves the disinfection efficiency and disinfection effect of the pig house, and enhances the intelligence and automation of the pig house environment management.

[0023] In a preferred embodiment, the environmental detection component 10 specifically includes: a plurality of groups of hygrometers and thermometers, arranged on the central axis of each corner of the target pig house; wherein the plurality of groups of hygrometers and thermometers are configured to collect a plurality of groups of humidity values ​​and temperature values ​​of the target pig house, and output the average values ​​of the plurality of groups of humidity values ​​and temperature values ​​as the temperature parameters and humidity parameters of the target pig house. In practical applications, the target pig house can be a regular rectangle or other irregular shapes. When the target pig house is a rectangle, a plurality of groups of hygrometers and thermometers are respectively installed on the central axis of the four corners of the pig house, and the average value of the four thermometers and hygrometers is taken as the temperature and humidity of the target pig house, thereby improving the accuracy of collecting temperature parameters and humidity parameters.

[0024] In a preferred embodiment, the drug spraying module includes: a central pipeline, which is arranged at the top of the target pig house, connecting the distributed nozzles and the drug pumping equipment, and is configured to transport the spraying agent of the drug pumping equipment to the distributed nozzles; a plurality of distributed nozzles, which are evenly arranged at equal intervals in the target pig house, are configured to be connected to the central pipeline, and perform drug spraying actions on the transported spraying agent in the target pig house.

[0025] In this embodiment, the drug spraying module consists of a central pipe and distributed nozzles. The central pipe is installed on the ceiling or at a higher position in the center of the pig house, covering the entire length of the pig house as much as possible. Corrosion-resistant materials such as PVC or stainless steel are selected to ensure durability in long-term use. The diameter of the central pipe needs to be determined in combination with the area of ​​the pig house and the coverage area of ​​the distributed nozzles. Assuming the area of ​​the pig house is , the coverage area of ​​a single nozzle is , then the number of nozzles required is , the spraying rate of a single nozzle is , the total flow is: ; If the water flow velocity in the pipe is , then the cross-sectional area of ​​the pipe is , the pipe diameter can be further calculated Distributed sprinklers are installed evenly at equal intervals, and each sprinkler has the same coverage area.

[0026] In a preferred embodiment, the ventilation module specifically includes: an air inlet unit, including an air inlet arranged at the lower part of the side wall of the target pig house and an air inlet fan arranged at the air inlet, configured to drive air into the target pig house; an exhaust unit, including an exhaust outlet arranged at the upper part of the side wall of the target pig house or the top of the target pig house and an exhaust fan arranged at the exhaust outlet, configured to drive the air in the target pig house out of the target pig house to perform ventilation.

[0027] In this embodiment, the wind directions of the air inlet fan and the exhaust fan are opposite, which can drive the air to forcibly enter the target pig house, so that the dirty air in the target pig house can be effectively removed.

[0028] In a preferred embodiment, the dehumidification and humidification module specifically includes: a spray humidifier and a dehumidifier; wherein, the spray humidifier is arranged above the air inlet in the target pig house, and is configured to perform humidification on the target pig house; wherein, the dehumidifier is arranged below the air outlet in the target pig house, and is configured to perform dehumidification on the target pig house.

[0029] In this embodiment, when the spray humidifier is working, tiny droplets can diffuse to the entire pig house along with the air flow generated by the air inlet unit. The dehumidifier is installed below and near the exhaust port, and the air flow brought by the exhaust port will improve the dehumidifier effect.

[0030] In a preferred embodiment, the control feedback model building unit specifically includes: a nonlinear feedback system building subunit, which is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and a second-order nonlinear function between historical control states and environmental control actions fitted by a neural network as control logic, to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in a target pig house; The expression of the nonlinear feedback system is specifically: ; in, and represents the second-order nonlinear function between the historical control state and the environmental control action fitted by the two neural networks, express The average value of Indicates the current time of the target pig house status, and have the same meaning and are only used to distinguish their use in different expressions. Represents the control of the ventilation module. The input is the current state of the target pig house. The average state value at the time, The input is the state of the target pig house at the current moment. Including temperature and humidity parameters of the target pig house, It indicates the final state of the target pig house after regulation. and is the coefficient, Indicates that the target pig house is in state The state after the environmental control action, Indicates that the target pig house is in state The state after environmental control action.

[0031] In this embodiment, the main control module 30 controls the ventilation module, the drug spraying module, and the dehumidification and humidification module by obtaining the measurement results of the humidity and temperature measurement module, and uses the temperature and humidity in the pig house as the control feedback index. The state and control of the entire pig house constitute a nonlinear feedback system. The goal of the main control module is to ensure that the temperature and humidity of the pig house are both conducive to the life of pigs and to inhibit the spread of bacteria. The comfort of pig life increases first and then decreases with the temperature and humidity, and the resistance to the spread of bacteria has the same trend as the change in comfort. The spread of bacteria is composed of two factors: bacterial reproduction and bacterial movement. Bacteria are most suitable for reproduction at 25-40°C, and the growth of bacteria will accelerate under high humidity conditions. When the humidity is too low, bacteria are easy to float with dust. Therefore, the adjustment target of the main control module is the intersection of the trend curves of comfort and inhibition, usually at a temperature of 40°C and a humidity of 50%. Therefore, this embodiment analyzes the characteristics of bacterial transmission and combines the requirements of pig farming for temperature and humidity, uses temperature and humidity sensors to collect real-time data of pig houses, combines the characteristics of air flow in pig houses, and obtains control instructions for dehumidification, dehumidification, and spraying of pig houses through neural networks, so that the state of the pig house meets the target state, thereby improving the disinfection efficiency and disinfection effect of the pig house.

[0032] In a preferred embodiment, the state control unit specifically includes: an objective function construction subunit configured to construct an objective function for the target pig house environment control according to the constructed nonlinear feedback system of the target pig house; The expression of the objective function is specifically: ; in, Indicates the ideal state of the target pig house, represents the weight of the neural network, T represents the transpose, and All represent coefficients, represents the learning rate. For all inputs, the labels are the states of temperature parameter 20℃ and humidity parameter 50%. and .

[0033] In a preferred embodiment, the state control unit specifically includes: The control strategy solver unit is configured to obtain the weight of the neural network after a preset number of iterations. Perform QR decomposition to obtain the upper triangular matrix and the orthogonal matrix, divide the upper triangular matrix into three sub-matrices, sum the second sub-matrix and the third sub-matrix to generate a eigenvector, input the eigenvector into a fully connected layer, and use the output of the fully connected layer as the environmental control instruction for the target pig house to reach the final state.

[0034] In this embodiment, since the entire airflow pattern of the pig house is from the lower left corner to the upper right corner, and the temperature and humidity sensors are installed on all sides, although the average value is used as the measurement standard, the changes of the four groups of sensors are nonlinear and there are delays. Therefore, the control of the dehumidification and humidification module and the drug spraying module cannot be based solely on the indicator feedback at the current moment, but should appropriately consider the historical feedback under the premise of considering the feedback at the current moment.

[0035] In view of this, this embodiment proposes an optimal control solution method based on a neural network to obtain the control strategy of the agent spraying module and the dehumidification and humidification module. The method first constructs the objective function, and after a preset number of iterations, takes the neural network weights to form a matrix for QR decomposition, which is divided into an upper triangular matrix and an orthogonal matrix. Since the ventilation module needs to work continuously, it is considered to be a constant, that is, The value of is a constant, and the neural network does not change it during learning. Do the fitting. or and and are independent, so they are linearly independent of each other. The upper triangular matrix is ​​divided into three parts. For example, if the matrix is ​​6×6, 2×6 is one part, and there are three parts in total. The first part is discarded (because there are vectors without 0 elements in it). The second and third parts of the upper triangular matrix obtained by weight decomposition of each layer are summed and sent to a fully connected layer as feature vectors to output control instructions of 0~10. Therefore, this embodiment appropriately considers historical moment feedback on the basis of considering the current moment feedback, and continuously iterates the neural network to use weights to realize the strategy generation of environmental control instructions for the target pig house to reach the final state, thereby improving the disinfection efficiency and disinfection effect of the pig house.

[0036] In actual applications, for the control instructions of outputting 0~10, for the dehumidification and humidification module (the second part of the output), 0~5 refers to dehumidification, and the dehumidification power is regulated according to the value (5 gears), 6~10 refers to humidification, and the humidification power is regulated according to the value (6 corresponds to 1 gear, a total of 5 gears). For the spraying module, 0~10 corresponds to the spraying dose, but due to the particularity of the spraying of the agent, it is usually necessary to spray at a specified time or cycle, so the control is only used when spraying is required to improve the intelligence and automation of the pig house environment management.

[0037] Embodiment 2: Reference Figure 2 , Figure 2 A schematic flow chart of a closed pig house intelligent disinfection and humidification method provided in an embodiment of the present invention.

[0038] like Figure 2As shown, a closed pig house intelligent disinfection and humidification method is used for the closed pig house intelligent disinfection and humidification system as described above, comprising: S1: Use the environmental detection component to detect the temperature and humidity parameters of the target pig house; S2: using the environment control component to perform environment control actions on the target pig house according to the received environment control instructions; wherein the environment control actions include ventilation actions of the ventilation module, drug spraying actions of the drug spraying module, and dehumidification and humidification actions of the dehumidification and humidification module; S3: The main control module uses temperature parameters and humidity parameters as control states, environmental control actions as control basis, and the second-order nonlinear function between the historical control states fitted by the neural network and the environmental control actions as control logic to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in the target pig house; S4: The main control module solves the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach the final state.

[0039] The specific implementation method of the closed pig house intelligent disinfection and humidification method of the present application is basically the same as the above-mentioned closed pig house intelligent disinfection and humidification system embodiment, and will not be repeated here.

[0040] In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "center", "top", "bottom", "top", "bottom", "inside", "outside", "inner side", "outer side" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Among them, "inside" refers to an internal or enclosed area or space. "Periphery" refers to the area surrounding a specific component or a specific area.

[0041] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0042] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", "connect", and "assemble" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0043] In the description of the embodiments of the present invention, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0044] In the description of the embodiments of the present invention, it should be understood that "-" and "~" represent a range between two values, and the range includes the endpoints. For example: "AB" represents a range greater than or equal to A and less than or equal to B. "A~B" represents a range greater than or equal to A and less than or equal to B.

[0045] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0046] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A closed pig house intelligent disinfection and humidification system, characterized in that: include: The environmental detection component includes at least one set of humidity and temperature measurement modules, which are configured to detect temperature parameters and humidity parameters of the target pig house; The environmental control component includes a medicine spraying module, a ventilation module and a dehumidification and humidification module, and is configured to perform environmental control actions on the target pig house according to the received environmental control instructions; Wherein, the environmental control action includes the ventilation action of the ventilation module, the medicine spraying action of the medicine spraying module and the dehumidification and humidification action of the dehumidification and humidification module; A main control module, including a control feedback model building unit and a state control unit; The control feedback model building unit is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and a second-order nonlinear function between historical control states and environmental control actions fitted by a neural network as control logic, so as to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in a target pig house; Wherein, the state control unit is configured to solve the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach the final state.

2. The closed pig house intelligent disinfection and humidification system according to claim 1 is characterized in that: The environmental detection component specifically includes: Several groups of hygrometers and thermometers are arranged on the central axis of each corner of the target pig house; The several groups of hygrometers and thermometers are configured to collect several groups of humidity values ​​and temperature values ​​of the target pig house, and output the average values ​​of the several groups of humidity values ​​and temperature values ​​as the temperature parameters and humidity parameters of the target pig house.

3. The closed pig house intelligent disinfection and humidification system according to claim 1 is characterized in that: The medicine spraying module comprises: A central pipeline is disposed on the top of the target pig house, connected to the distributed sprinkler and the medicine pumping device, and is configured to transport the spraying agent of the medicine pumping device to the distributed sprinkler; A plurality of distributed sprinklers are evenly spaced in the target pig house and are configured to be connected to a central pipeline to perform a spraying action on the delivered spray agent in the target pig house; The expression of the diameter of the central pipe is specifically: ； ； in, represents the pig house area, Indicates the coverage area of ​​a single distributed sprinkler. Indicates the number of distributed sprinklers. Represents the spraying rate of a single distributed sprinkler. Indicates the water flow velocity in the central pipe.

4. The closed pig house intelligent disinfection and humidification system according to claim 1 is characterized in that: The ventilation module specifically comprises: An air inlet unit, comprising an air inlet provided at a lower portion of a side wall of a target pig house and an air inlet fan provided at the air inlet, and configured to drive air into the target pig house; The exhaust unit includes an exhaust port arranged on the upper side wall of the target pig house or the top of the target pig house and an exhaust fan arranged on the exhaust port, and is configured to drive the air in the target pig house to be discharged out of the target pig house to perform ventilation.

5. The closed pig house intelligent disinfection and humidification system according to claim 4 is characterized in that: The dehumidification and humidification module specifically comprises: mist humidifiers and dehumidifiers; Wherein, the spray humidifier is arranged above the air inlet in the target pig house and is configured to perform a humidification action on the target pig house; Wherein, the dehumidifier is arranged below the exhaust port in the target pig house and is configured to perform dehumidification action on the target pig house.

6. The closed pig house intelligent disinfection and humidification system according to claim 1 is characterized in that: The control feedback model building unit specifically includes: The nonlinear feedback system establishment subunit is configured to use temperature parameters and humidity parameters as control states, environmental control actions as control basis, and the second-order nonlinear function between the historical control states and environmental control actions fitted by the neural network as control logic, so as to establish a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in the target pig house; The expression of the nonlinear feedback system is specifically: ； in, and represents the second-order nonlinear function between the historical control state and the environmental control action fitted by the two neural networks, express The average value of Indicates the current time of the target pig house status, and have the same meaning and are only used to distinguish their use in different expressions. Represents the control of the ventilation module. The input is the current state of the target pig house. The average state value at the time, The input is the state of the target pig house at the current moment. Including temperature and humidity parameters of the target pig house, It indicates the final state of the target pig house after regulation. and is the coefficient, Indicates that the target pig house is in state The state after the environmental control action, Indicates that the target pig house is in state The state after environmental control action.

7. The closed pig house intelligent disinfection and humidification system according to claim 6 is characterized in that: The final state of the target pig house is configured as follows: the temperature parameter of the target pig house is 20° C., and the humidity parameter is 50%.

8. The closed pig house intelligent disinfection and humidification system according to claim 7 is characterized in that: The state control unit specifically includes: The objective function construction subunit is configured to construct an objective function of the target pig house environment control according to the constructed nonlinear feedback system of the target pig house; The expression of the objective function is specifically: ； in, Indicates the ideal state of the target pig house, represents the weight of the neural network, T represents the transpose, and All represent coefficients, represents the learning rate. For all inputs, the labels are the states of temperature parameter 20℃ and humidity parameter 50%. and .

9. The closed pig house intelligent disinfection and humidification system according to claim 8, characterized in that: The state control unit specifically includes: The control strategy solver unit is configured to obtain the weight of the neural network after a preset number of iterations. Perform QR decomposition to obtain the upper triangular matrix and the orthogonal matrix, divide the upper triangular matrix into three sub-matrices, sum the second sub-matrix and the third sub-matrix to generate a eigenvector, input the eigenvector into a fully connected layer, and use the output of the fully connected layer as the environmental control instruction for the target pig house to reach the final state.

10. A closed pig house intelligent disinfection and humidification method, characterized in that: include: Use environmental detection components to detect the temperature and humidity parameters of the target pig house; Using the environmental control component to perform environmental control actions on the target pig house according to the received environmental control instructions; wherein the environmental control actions include ventilation actions of the ventilation module, drug spraying actions of the drug spraying module, and dehumidification and humidification actions of the dehumidification and humidification module; The main control module uses temperature parameters and humidity parameters as control states, environmental control actions as control basis, and the second-order nonlinear function between the historical control states and environmental control actions fitted by the neural network as control logic, and establishes a nonlinear feedback system based on temperature parameters, humidity parameters and environmental control actions in the target pig house. The main control module solves the nonlinear feedback system to obtain environmental control instructions for the target pig house to reach the final state.

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