Intelligent ecological breeding method and system for livestock farms

Abstract

The present application relates to the field of intelligent ecological breeding, and in particular to an intelligent ecological breeding method and system for livestock farms. The method includes: obtaining livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determining the real-time flow information of the gas in the livestock farm based on the real-time animal information, livestock farm information, and real-time environmental information; obtaining negative pressure ventilation system information and external air information, and determining the negative pressure ventilation strategy based on the negative pressure ventilation system information, external air information, and real-time flow information, and performing negative pressure ventilation operations on the livestock farm according to the negative pressure ventilation strategy. The present application determines the air flow information by obtaining livestock farm information, animal and environmental data in real time, thereby realizing dynamic monitoring of the gas flow inside the livestock farm. By combining the negative pressure ventilation system with the external air information, the negative pressure ventilation strategy is determined to improve the air quality while ensuring effective regulation of air circulation, and to ensure the health of animals and the sustainability of the breeding environment.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent ecological breeding, and in particular to an intelligent ecological breeding method and system for livestock farms. Background Art

[0002] In the process of ecological breeding in modern livestock farms, ventilation treatment in the farms is very important. In livestock farms, a negative pressure system is used to circulate and ventilate the air in the livestock farms, which can ensure the air quality in the livestock farms, and at the same time discharge toxic and harmful gases to ensure that the animals in the livestock farms are in a good breeding environment, which is beneficial to the growth of the breeding animals.

[0003] However, due to the complex situations in the internal and external environments and regions of the livestock farms, the ventilation treatment of the negative pressure ventilation system is inconsistent with the actual air circulation in the livestock farms, thus reducing the air quality in the livestock farms and further affecting the healthy growth environment of the breeding animals. Summary of the Invention

[0004] The present application provides an intelligent ecological breeding method and system for livestock farms to solve the above problems.

[0005] In a first aspect, the present application provides an intelligent ecological breeding method for livestock farms, the method comprising:

[0006] Obtaining livestock farm information, real-time animal information in the livestock farm and real-time environmental information in the livestock farm, and determining real-time flow information of the gas in the livestock farm according to the real-time animal information, the livestock farm information and the real-time environmental information;

[0007] Obtaining negative pressure ventilation system information and external air information, determining a negative pressure ventilation strategy according to the negative pressure ventilation system information, the external air information and the real-time flow information, and performing a negative pressure ventilation operation on the livestock farm according to the negative pressure ventilation strategy.

[0008] Through this solution, livestock farm information, real-time animal information and real-time environmental information are obtained, and by integrating these information, the real-time flow information of the gas in the livestock farm is determined, so as to understand the actual air circulation situation. The negative pressure ventilation system information and external air information are collected, and combined with the real-time flow information, so as to determine the negative pressure ventilation strategy, ensuring ideal air flow and temperature and humidity levels under different environmental conditions. According to the formulated negative pressure ventilation strategy, parameters such as the on / off of the negative pressure fan and ventilation openings and the wind speed of the negative pressure fan are automatically adjusted to achieve precise negative pressure ventilation operation, optimize air circulation, reduce the accumulation of harmful gases, and provide a healthy and comfortable growth environment for the animals in the livestock farm. By dynamically responding to the environmental changes in the livestock farm, the air quality in the livestock farm is improved while the breeding efficiency is enhanced.

[0009] Optionally, the livestock farm information includes the building height of the livestock farm and the total air volume of the livestock farm, the real-time animal information includes the real-time animal quantity and the real-time animal volume, the real-time environment information includes the real-time environmental humidity inside the livestock farm, and determining the real-time gas flow information inside the livestock farm according to the real-time animal information, the livestock farm information and the real-time environment information includes:

[0010] Determine the real-time flow velocity according to the building height, the total air volume, the real-time environmental humidity, the real-time animal volume and the real-time animal quantity, and calculate according to the following formula:

[0011] ;

[0012] Wherein, represents the real-time flow velocity, represents a preset adjustment constant, represents the building height, represents the real-time environmental humidity, represents the real-time animal volume, represents the real-time animal quantity, represents the total air volume;

[0013] Incorporate the real-time flow velocity into the real-time flow information.

[0014] Through this solution, according to the building height, total air volume, real-time environmental humidity, real-time animal volume and real-time animal quantity of the livestock farm, the real-time flow velocity is calculated using the given formula. The adjustment constant and each variable in the formula work together to reflect the influence of the environment inside the livestock farm and the activities of the animals on the air flow. Specifically, the building height and the total air volume affect the overall diffusion ability of the gas, while the real-time environmental humidity, animal volume and animal quantity affect the resistance and rate of gas flow. Through this dynamic calculation, the real-time flow velocity of the air flow is obtained in real time, providing an accurate basis for the subsequent negative pressure ventilation strategy. The real-time flow velocity will be incorporated into the real-time flow information of the negative pressure ventilation system to ensure the maximization of the negative pressure ventilation effect, thereby creating a more comfortable and healthy growth environment for the animals.

[0015] Optionally, the real-time environment information includes the real-time environmental temperature inside the livestock farm, the real-time environment information includes the gas monitoring information inside the livestock farm, and determining the real-time gas flow information inside the livestock farm according to the real-time animal information, the livestock farm information and the real-time environment information includes:

[0016] Obtain the real-time environmental image inside the livestock farm, and determine the real-time animal density according to the real-time environmental image and the real-time animal quantity;

[0017] Determine the number of areas within the livestock farm and the real-time activity intensity of the animals within the livestock farm based on the real-time environmental image;

[0018] Determine the gas type of each area and the gas concentration corresponding to the gas type based on the gas monitoring information and the number of areas;

[0019] Determine the real-time circulation volume based on the real-time activity intensity, the gas concentration, the real-time animal density, the real-time environmental temperature, and the building height, and calculate according to the following formula:

[0020] ;

[0021] where, represents the real-time circulation volume, represents a preset circulation volume adjustment constant, represents the real-time activity intensity, represents a preset concentration influence coefficient, represents the gas concentration, represents a preset temperature influence coefficient, represents the real-time environmental temperature, represents a preset density influence coefficient, represents the real-time animal density, represents the building height;

[0022] Incorporate the real-time circulation volume into the real-time flow information.

[0023] Through this solution, a real-time environmental image is obtained, and the real-time animal density is calculated based on the real-time environmental image and the real-time animal quantity, reflecting the distribution of animals per unit space. Based on the real-time environmental image, the livestock farm areas are further determined, and the animal activity intensity in each area is evaluated. At the same time, through the gas monitoring information, combined with the real-time environmental image, the gas type and its concentration in each area are determined, providing a calculation basis for the subsequent calculation of the real-time circulation volume. Combining parameters such as the activity intensity and gas concentration, the real-time circulation volume is calculated using a formula to measure the gas flow rate. The adjustment constants and variables in the formula work together to ensure that the calculation of the real-time circulation volume can accurately reflect the real-time environment and animal dynamics inside the livestock farm. The real-time circulation volume is incorporated into the real-time flow information, providing an accurate control basis for the negative pressure ventilation system.

[0024] Optionally, the gas monitoring information includes the real-time oxygen content within the livestock farm, and the determining the gas type of each area and the gas concentration corresponding to the gas type based on the gas monitoring information and the number of areas includes:

[0025] Determine the object type, object surface area, and the object volume corresponding to the object type in each region according to the real-time environmental image;

[0026] Judge whether the object type generates gas. If the object type generates gas, obtain the gas type set, and determine the gas type according to the gas type set and the object type;

[0027] Determine the gas concentration according to the object surface area, the real-time oxygen content, the object volume, and the real-time environmental temperature, and calculate according to the following formula:

[0028] ;

[0029] where, represents the gas concentration, represents the preset concentration adjustment constant, represents the object surface area, represents the preset area influence coefficient, represents the object volume, represents the preset volume influence coefficient, represents the preset temperature influence coefficient, represents the real-time environmental temperature, represents the standard oxygen concentration, represents the real-time oxygen content, represents the preset oxygen content influence coefficient.

[0030] Through this solution, the object type, its surface area and volume in the area are recognized through the real-time environmental image, and it is analyzed which objects may release gas. For the objects that generate gas, the gas type released is determined according to the gas type set. Using these data, the gas concentration is calculated through a specific formula, which includes variables such as object surface area, volume, oxygen content, and environmental temperature. The preset concentration adjustment constant, preset area influence coefficient, preset volume influence coefficient, preset temperature influence coefficient, and preset oxygen content influence coefficient in the formula ensure that the calculation of the gas concentration can reflect the gas release characteristics of each object and the influence of environmental changes. Through the calculation of the standard oxygen concentration and the real-time oxygen content, the gas concentration is further adjusted, so as to realize the dynamic monitoring of the gas concentration and provide a more accurate decision-making basis for the negative pressure ventilation operation in the livestock farm.

[0031] Optionally, the external air information includes the external air wind speed and the external air wind direction, the negative pressure ventilation system information includes the number of ventilation openings, the height of the ventilation openings, the fan speed, the maximum fan speed, and the fan installation height, the real-time flow information includes the real-time flow direction, and determining the negative pressure ventilation strategy according to the negative pressure ventilation system information, the external air information, and the real-time flow information includes:

[0032] Determine the real-time air extraction volume in the livestock farm according to the number of ventilation openings, the fan installation height, the maximum fan speed, the fan speed, the fan opening angle, the real-time activity intensity, the real-time flow speed, the real-time environmental humidity, and the external air wind speed;

[0033] Determine the degree of obstruction to air circulation in each area according to the real-time environmental image and the real-time flow direction;

[0034] Determine the air ventilation speed flowing through each area according to the degree of obstruction and the real-time circulation volume;

[0035] Determine the real-time opening angle of the ventilation opening according to the height of the ventilation opening, the fan installation height, the external air wind speed, and the external air wind direction;

[0036] Incorporate the real-time opening angle, the air ventilation speed, and the real-time air extraction volume into the negative pressure ventilation strategy.

[0037] Through this solution, according to the fan speed, fan installation height, maximum fan speed of the negative pressure fan, the number of ventilation openings, and the fan opening angle, combined with the external air wind speed of the external environment, the real-time air extraction volume in the livestock farm is calculated to ensure the effectiveness of air flow. The real-time flow information and the real-time environmental image help to determine the degree of obstruction to air circulation in each area, so as to evaluate which areas have restricted air flow. According to the degree of obstruction and the real-time circulation volume, the air ventilation speed of each area is calculated to ensure uniform distribution of air throughout the space. At the same time, considering the external air wind speed and the external air wind direction, the opening angle of the ventilation opening is adjusted to optimize the inflow and outflow of air. Combining factors such as the real-time opening angle, the air ventilation speed, and the real-time air extraction volume, a dynamic negative pressure ventilation strategy is formed, and the negative pressure ventilation system in the livestock farm is adjusted in real time according to the negative pressure ventilation strategy, so as to achieve the best air quality control.

[0038] Optionally, the determining the real-time air extraction volume in the livestock farm according to the number of ventilation openings, the fan installation height, the maximum fan speed, the fan speed, the fan opening angle, the real-time activity intensity, the real-time flow speed, the real-time environmental humidity, and the external air wind speed is calculated according to the following formula:

[0039] ;

[0040] Among them, represents the real-time air extraction volume, represents the preset fan constant, represents the fan rotation speed, represents the number of ventilation openings, represents the real-time flow velocity, represents the installation height of the fan, represents the preset fan height coefficient, represents the real-time activity intensity, represents the real-time environmental humidity, represents the external air wind speed, represents the preset air flow velocity coefficient, represents the maximum rotation speed of the fan, represents the opening angle of the fan, represents the preset comprehensive flow velocity coefficient.

[0041] Through this solution, through a comprehensive formula, the real-time air extraction volume in the livestock farm is accurately calculated to achieve the best ventilation effect. Basic parameters such as the preset fan constant and the number of ventilation openings provide a basis for the calculation. The fan rotation speed, the installation height of the fan, and the maximum rotation speed of the fan determine the intensity and effect of the air flow. At the same time, the influence of the preset fan height coefficient is considered to adjust the influence of the installation height of the fan on the ventilation efficiency. The real-time activity intensity, the real-time flow velocity, and the real-time environmental humidity reflect the dynamically changing air flow situation in the livestock farm. Combining with the external air wind speed and the preset air flow velocity coefficient, it ensures that the influence of the external air on the indoor air flow is fully considered. The adjustment of the opening angle of the fan and the fan rotation speed further refines the speed and distribution of the air flow. Through the multiple parameter effects of the formula, the real-time air extraction volume accurately reflects the air flow demand in the livestock farm, thereby realizing dynamic adjustment and maintaining the stability and smoothness of the air quality in the livestock farm.

[0042] Optionally, determining the degree of air flow obstruction in each area according to the real-time environmental image and the real-time flow direction includes:

[0043] Determining the regional structure, the regional height of each area, and the location of each area according to the real-time environmental image;

[0044] Determining the actual passing volume of air when flowing through each area according to the regional structure, the location of the area, and the regional height;

[0045] Determining the degree of obstruction according to the actual passing volume, the real-time flow velocity, and the real-time circulation volume.

[0046] Through this solution, the regional structure, regional height, and location of each area are obtained from real-time environmental images to clarify the physical characteristics and layout of each area. Based on these structural and location features, the actual air throughput in each area is analyzed. Through the real-time flow velocity and real-time throughput, combined with the calculated actual throughput, the degree of obstruction to air circulation in each area is further quantified. This process not only ensures the accurate assessment of air flow but also optimizes the ventilation design by dynamically adjusting the degree of obstruction, thus responding in real time to environmental changes in the livestock farm, ensuring the air circulation efficiency, and effectively improving the overall ventilation effect and air quality.

[0047] Optionally, determining the actual throughput of air when flowing through each area according to the regional structure, the location of the area, and the regional height includes:

[0048] Determining the real-time animal height in the livestock farm and the area of each area according to the real-time environmental image;

[0049] Determining the intercepted volume of the real-time animal height in each area on the real-time throughput according to the regional height, the real-time animal volume, the real-time animal height, and the real-time throughput;

[0050] Determining the actual throughput according to the intercepted volume, the real-time throughput, and the real-time flow velocity.

[0051] Through this solution, according to the real-time environmental image, the real-time animal height and area of each area in the livestock farm are obtained, providing basic data for subsequent analysis. Combining the regional height, real-time animal volume, real-time animal height, and real-time throughput, the intercepted volume of air circulation by animals is calculated, that is, the impact of the space occupied by animals on air flow. By considering the volume and height of animals, the actual obstruction or interference of animals to air flow is reflected. Combining the intercepted volume, real-time throughput, and real-time flow velocity, the actual throughput of each area is accurately calculated. It not only optimizes the air circulation mode but also effectively adjusts the parameters of the negative pressure fan, ensuring the dynamic balance of air quality in the livestock farm, thereby improving the air conditioning efficiency of the negative pressure fan.

[0052] Optionally, the negative pressure ventilation system information includes the fan wind speed, and the external air information includes the air wind direction angle of the external air. Determining the real-time opening angle of the ventilation opening according to the ventilation opening height, the fan installation height, the external air wind speed, and the external air wind direction includes:

[0053] Determining the horizontal distance between the ventilation opening and the negative pressure fan according to the real-time environmental image;

[0054] Determine the real-time opening angle of the ventilation opening according to the air wind direction angle, the fan wind speed, the height of the ventilation opening, the horizontal distance, the fan installation height, the external air wind speed and the external air wind direction, and calculate according to the following formula:

[0055] ;

[0056] Among them, represents the real-time opening angle, represents the height of the ventilation opening, represents the fan installation height, represents the horizontal distance, represents the external air wind speed, represents the fan wind speed, represents the air wind direction angle.

[0057] Through this solution, determine the horizontal distance between the ventilation opening and the negative pressure fan according to the real-time environmental image, providing necessary space parameters for the calculation. By obtaining the air wind direction angle, fan wind speed, ventilation opening height and fan installation height of the external air, accurately calculate the real-time opening angle of the ventilation opening. By dynamically adjusting the real-time opening angle of the ventilation opening, maximize the air circulation efficiency and reduce energy consumption. This process ensures the best match of air circulation between the negative pressure fan and the ventilation opening, improves the efficiency of the ventilation system, and helps to maintain the air quality of the livestock farm.

[0058] In a second aspect, the present application provides an intelligent ecological breeding system for a livestock farm, and the system includes:

[0059] A flow information determination module, configured to obtain livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determine the real-time flow information of the gas in the livestock farm according to the real-time animal information, the livestock farm information, and the real-time environmental information;

[0060] A ventilation strategy determination module, configured to obtain negative pressure ventilation system information and external air information, determine a negative pressure ventilation strategy according to the negative pressure ventilation system information, the external air information, and the real-time flow information, and perform a negative pressure ventilation operation on the livestock farm according to the negative pressure ventilation strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0062] Figure 1 A schematic diagram of an application scenario provided by an embodiment of the present application;

[0063] Figure 2 A flowchart of an intelligent ecological breeding method for a livestock farm provided by an embodiment of the present application;

[0064] Figure 3 A schematic structural diagram of an intelligent ecological breeding system for a livestock farm provided by an embodiment of the present application. Detailed implementation manners

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0066] In addition, the term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, both A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after, unless otherwise specified.

[0067] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings of the specification.

[0068] Due to the complex situations in the environment and areas inside and outside the livestock farm, the ventilation treatment of the negative pressure ventilation system is inconsistent with the actual air circulation situation inside the livestock farm, thereby reducing the air quality inside the livestock farm and further affecting the healthy growth environment of the breeding animals.

[0069] Based on this, the present application provides an intelligent ecological breeding method and system for a livestock farm, which acquires livestock farm information, real-time animal information, and real-time environmental information, synthesizes this information, and determines the real-time flow information of the gas inside the livestock farm, so as to understand the actual air circulation situation. Collect negative pressure ventilation system information and external air information, and combine with the real-time flow information to determine the negative pressure ventilation strategy, ensuring ideal air flow and temperature and humidity levels under different environmental conditions. According to the formulated negative pressure ventilation strategy, automatically adjust parameters such as the on / off of the negative pressure fan and ventilation openings and the wind speed of the negative pressure fan, realize precise negative pressure ventilation operation, optimize air circulation, reduce the accumulation of harmful gases, and provide a healthy and comfortable growth environment for the animals inside the livestock farm. By dynamically responding to the environmental changes inside the livestock farm, the air quality inside the livestock farm is improved while the breeding efficiency is enhanced.

[0070] Figure 1 A schematic diagram of an application scenario provided for this application. When using a negative pressure ventilation device to ventilate a livestock farm, the method provided for this application is used to obtain and analyze livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm to determine real-time flow information; obtain negative pressure ventilation system information and external air information, and determine a negative pressure ventilation strategy based on the negative pressure ventilation system information, external air information, and real-time flow information.

[0071] Specifically, the method provided for this application is applied to any server. The server interacts with the negative pressure ventilation system, real-time monitoring device, and livestock farm management system. The real-time monitoring device can be a device that monitors the environment inside and outside the livestock farm in real time. The real-time monitoring device can include a camera monitoring device and a gas monitoring device. The livestock farm management system can be a system that manages and controls the operation of the livestock farm. The livestock farm management system can include a dynamically stored database, which can store the dynamic data of the livestock farm. The server determines a negative pressure ventilation strategy by obtaining and analyzing the livestock farm information of the livestock farm management system, the real-time animal information of the livestock farm management system, the real-time environmental information of the real-time monitoring device, the external air information of the real-time monitoring device, and the negative pressure ventilation system information of the negative pressure ventilation system, and sends the negative pressure ventilation strategy to the negative pressure ventilation system. The negative pressure ventilation system performs negative pressure ventilation operations according to the negative pressure ventilation strategy. By obtaining livestock farm information, animal and environmental data in real time, the air flow information is determined, thereby realizing the dynamic monitoring of the internal gas flow of the livestock farm. Combining the negative pressure ventilation system with external air information, a negative pressure ventilation strategy is determined, which effectively regulates air circulation while ensuring animal health and the sustainability of the breeding environment.

[0072] The specific implementation method can refer to the following embodiments.

[0073] Figure 2 A flowchart of a method for intelligent ecological breeding of livestock farms provided for an embodiment of this application. The method of this embodiment can be applied to the server in the above scenario. As Figure 2 shown, the method includes:

[0074] S201. Obtain livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determine the real-time flow information of the gas in the livestock farm according to the real-time animal information, livestock farm information, and real-time environmental information.

[0075] The livestock farm information can be the information corresponding to the livestock farm that needs to perform negative pressure ventilation operations. The livestock farm information can include the building height of the livestock farm.

[0076] The real-time animal information can be the information corresponding to the animals raised in the livestock farm. The real-time animal information can include the real-time animal volume and the real-time animal quantity.

[0077] The real-time environment information can be the information about the environment where the areas and objects are located in the livestock farm. The real-time environment information can include the real-time environmental humidity.

[0078] The real-time flow information can be the information such as the direction, speed, height, etc. of the air flowing in the livestock farm.

[0079] Specifically, obtain the livestock farm information and real-time animal information from the livestock farm management system. Obtain the real-time environment information from the real-time monitoring device. Extract the livestock farm area from the livestock farm information. Extract the real-time environmental humidity from the real-time environment information. Extract the real-time animal volume and the real-time animal quantity from the real-time animal information. Use mathematical analysis methods to analyze the building height, real-time environmental humidity, real-time animal volume and real-time animal quantity to obtain the real-time flow speed of the gas in the livestock farm. Incorporate the real-time flow speed into the real-time flow information.

[0080] S202. Obtain the negative pressure ventilation system information and the external air information, determine the negative pressure ventilation strategy according to the negative pressure ventilation system information, external air information and real-time flow information, and perform negative pressure ventilation operation on the livestock farm according to the negative pressure ventilation strategy.

[0081] The negative pressure ventilation system information can be the information about the parameters corresponding to the equipment that makes up the negative pressure ventilation system. The negative pressure ventilation system information can include the ventilation opening area.

[0082] The external air information can be the information such as the density, speed, etc. of the external air of the livestock farm. The external air information can include the external air density.

[0083] The negative pressure ventilation strategy can be the specific strategy determined when performing negative pressure ventilation on the livestock farm to make the air circulation situation in the livestock farm adapt to the actual air circulation demand in the livestock farm.

[0084] Specifically, obtain the negative pressure ventilation system information from the negative pressure ventilation system. Obtain the external air information from the real-time monitoring device. Extract the ventilation opening area from the negative pressure ventilation system information. Extract the external air density from the external air information. Use mathematical analysis methods to analyze the ventilation opening area, external air density and the real-time flow speed obtained in the above step S201 to obtain the negative pressure ventilation time of the negative pressure ventilation system, and incorporate the negative pressure ventilation time into the negative pressure ventilation strategy.

[0085] Through this solution, information about livestock farms, real-time animal information, and real-time environmental information are obtained. By integrating this information, the real-time flow information of the gas inside the livestock farm is determined, thereby understanding the actual air circulation situation. Information about the negative pressure ventilation system and external air information are collected, and combined with the real-time flow information, so as to determine the negative pressure ventilation strategy to ensure ideal air flow and temperature and humidity levels under different environmental conditions. According to the formulated negative pressure ventilation strategy, parameters such as the on / off of negative pressure fans, ventilation openings, and the wind speed of negative pressure fans are automatically adjusted to achieve precise negative pressure ventilation operation, optimize air circulation, reduce the accumulation of harmful gases, and provide a healthy and comfortable growth environment for the animals inside the livestock farm. By dynamically responding to the environmental changes inside the livestock farm, while improving the air quality inside the livestock farm, the breeding efficiency is also enhanced.

[0086] In some embodiments, according to the building height, total air volume, real-time environmental humidity, real-time animal volume, and real-time animal quantity, it is calculated according to formula (1) to determine the real-time flow velocity; the real-time flow velocity is incorporated into the real-time flow information:

[0087] (1)

[0088] Wherein, represents the real-time flow velocity, represents a preset adjustment constant, represents the building height, represents the real-time environmental humidity, represents the real-time animal volume, represents the real-time animal quantity, represents the total air volume.

[0089] The building height can be the vertical distance between the highest point of the internal space of the livestock farm and the ground.

[0090] The real-time flow velocity can be the velocity corresponding to the air flow inside the livestock farm.

[0091] The total air volume can be the maximum volume of air that the internal space of the livestock farm can accommodate.

[0092] The real-time environmental humidity can be the value corresponding to the water vapor content in the air of the internal environment of the livestock farm.

[0093] The preset adjustment constant can be a value that adjusts the influence of the building height, real-time environmental humidity, real-time animal volume, real-time animal quantity, and total air volume on the calculation result of the real-time flow velocity when calculating the real-time flow velocity.

[0094] Specifically, the total air volume is extracted from the livestock farm information. A number of historical building heights, a number of historical total air volumes, a number of historical real-time environmental humidities, a number of historical real-time animal volumes, a number of historical real-time flow velocities, and the historical real-time animal quantity are obtained from the livestock farm management system. The linear regression analysis method is used to analyze the number of historical building heights, the number of historical total air volumes, the number of historical real-time environmental humidities, the number of historical real-time animal volumes, the number of historical real-time flow velocities, and the historical real-time animal quantity to obtain a preset adjustment constant. The mathematical analysis method is used to analyze the building height, the total air volume, the real-time environmental humidity, the real-time animal volume, the preset adjustment constant, and the real-time animal quantity, and calculate according to formula (1) to determine the real-time flow velocity, and incorporate the real-time flow velocity into the real-time flow information.

[0095] Among them, in formula (1), The role of is to adjust the scale of the formula to adapt to the specific conditions of different livestock farms. Because the structures, ventilation systems, climate conditions, etc. of each livestock farm may vary greatly, the flow velocity calculated simply by the theoretical formula is often not completely accurate. The constant is used to calibrate this difference. reflects the building height and the environmental humidity on the real-time air flow velocity: The higher the building height , the larger the air flow space, and the greater the real-time flow velocity. Therefore, the building height is in a direct proportional relationship with the real-time flow velocity. The real-time environmental humidity affects the real-time flow velocity through a square root relationship. When the real-time environmental humidity is relatively high, the air density increases and the flow resistance increases. Therefore, the real-time flow velocity will be inhibited. The square root form indicates that the influence of the real-time environmental humidity has a slowing effect, and as the real-time environmental humidity increases, the change range of the real-time flow velocity will decrease. describes the influence of the animal volume and quantity on the air flow: represents the space occupied by the animals. A larger animal volume and more animals will occupy more air space. The presence of animals reduces the available flow space of air in the livestock farm, thus affecting the efficiency of air flow. The inhibitory effect of the total air volume on the flow velocity is expressed through a reciprocal form. The more animals there are, the lower the real-time flow velocity.

[0096] Through this solution, based on the building height, total air volume, real-time environmental humidity, real-time animal volume, and real-time animal quantity of the livestock farm, the real-time flow velocity is calculated using a given formula. The adjustment constant and each variable in the formula work together to reflect the influence of the environment in the livestock farm and the activities of the animals on the air flow. Specifically, the building height and total air volume affect the overall diffusion ability of the gas, while the real-time environmental humidity, animal volume, and animal quantity affect the resistance and rate of gas flow. Through this dynamic calculation, the real-time flow velocity of the air flow is obtained in real time, providing an accurate basis for subsequent negative pressure ventilation strategies. The real-time flow velocity will be incorporated into the real-time flow information of the negative pressure ventilation system to ensure the maximization of the negative pressure ventilation effect, thereby creating a more comfortable and healthy growth environment for the animals.

[0097] In some embodiments, obtain the real-time environmental image in the livestock farm, determine the real-time animal density according to the real-time environmental image and the real-time animal quantity; determine the number of areas in the livestock farm and the real-time activity intensity of the animals in the livestock farm according to the real-time environmental image; determine the gas type of each area and the gas concentration corresponding to the gas type according to the gas monitoring information and the number of areas; calculate according to formula (2) based on the real-time activity intensity, gas concentration, real-time animal density, real-time environmental temperature, and building height to determine the real-time throughput; incorporate the real-time throughput into the real-time flow information:

[0098] (2)

[0099] Wherein, represents the real-time throughput, represents the preset throughput adjustment constant, represents the real-time activity intensity, represents the preset concentration influence coefficient, represents the gas concentration, represents the preset temperature influence coefficient, represents the real-time environmental temperature, represents the preset density influence coefficient, represents the real-time animal density, represents the building height.

[0100] The real-time environmental image can be an image corresponding to the environment composed of the areas and objects in the livestock farm.

[0101] The real-time animal density can represent the degree of concentration of animals in the livestock farm.

[0102] The real-time activity intensity can be a numerical value corresponding to the comprehensive behavioral performance of the movement frequency and movement intensity of the animals in the livestock farm.

[0103] The number of areas can be the number corresponding to all types of areas in the livestock farm.

[0104] The real-time throughput can be the volume corresponding to the circulation of each type of gas in each area.

[0105] The preset throughput adjustment constant can be a value that adjusts the influence of real-time activity intensity, gas concentration, real-time animal density, real-time environmental temperature, and building height on the calculation result of the real-time throughput.

[0106] The preset concentration influence coefficient can be a value that affects the calculation result of the real-time throughput due to the gas concentration.

[0107] The preset temperature influence coefficient can be a value that affects the calculation result of the real-time throughput due to the real-time environmental temperature.

[0108] The preset density influence coefficient can be a value that affects the calculation result of the real-time throughput due to the real-time animal density.

[0109] Specifically, the real-time animal density is extracted from the real-time animal information. The real-time environmental image is obtained from the camera monitoring device, and the contour recognition algorithm is used to analyze the real-time environmental image to obtain the animal activity area. The real-time animal density is obtained by dividing the real-time animal number by the animal activity area. The feature recognition algorithm is used to analyze the real-time environmental image to obtain the number of areas. The deep learning algorithm is used to analyze the real-time environmental image to obtain the real-time activity intensity. The gas monitoring information is obtained from the gas monitoring device. Based on the number of areas obtained in the above steps, the gas type of each area, the gas concentration corresponding to the gas type of each area, and the real-time environmental temperature in the livestock farm are extracted from the gas monitoring information. The historical real-time activity intensity, historical gas concentration, historical real-time animal density, historical real-time environmental temperature, historical building height, and historical real-time throughput are obtained from the livestock farm management system, and the historical real-time activity intensity, historical gas concentration, historical real-time animal density, historical real-time environmental temperature, historical building height, and historical real-time throughput obtained in the above steps are calculated to obtain the preset throughput adjustment constant, preset concentration influence coefficient, preset temperature influence coefficient, and preset density influence coefficient. In the process of calculating the preset throughput adjustment constant, preset concentration influence coefficient, preset temperature influence coefficient, and preset density influence coefficient, the linear regression analysis method, regression tree analysis method, random forest analysis method, and neural network regression analysis method can be used for calculation. The real-time activity intensity, gas concentration, real-time animal density, real-time environmental temperature, building height, preset throughput adjustment constant, preset concentration influence coefficient, preset temperature influence coefficient, and preset density influence coefficient are analyzed using mathematical analysis methods, calculated according to formula (2), the real-time throughput is determined, and the real-time throughput is incorporated into the real-time flow information.

[0110] Among them, in formula (2), It is used to adjust the dimension and unit consistency of the entire formula. It can help adjust the influence of all factors to match the actual air flow rate. Indicates a positive impact on the real-time flow rate. In It has an inhibitory effect on air flow, The higher it is, the greater the density of the air, and the worse the fluidity. The increased gas concentration will make the air more viscous, making the air flow no longer smooth. Use the inverse function It is because as increases, the inhibitory effect on air flow gradually increases. Determines the influence intensity on the flow rate. Use the direct proportional function It is because temperature has a direct impact on air fluidity. An increase in temperature makes the air density lower, thus enhancing fluidity. Determines the speed at which the increase in temperature enhances the real-time flow rate. Use the inverse function Means that as the animal density increases, the air flow rate is gradually suppressed. The higher the density, the smaller the flow rate. Determines the inhibitory intensity of animal density on the flow rate.

[0111] Through this solution, real-time environmental images are obtained, and the real-time animal density is calculated based on the real-time environmental images and the real-time animal quantity, which reflects the distribution of animals per unit space. The livestock farm area is further determined based on the real-time environmental images, and the animal activity intensity in each area is evaluated. At the same time, through the gas monitoring information and combined with the real-time environmental images, the gas types and their concentrations in each area are determined, providing a calculation basis for the subsequent calculation of the real-time flow rate. Combining parameters such as activity intensity and gas concentration, the real-time flow rate is calculated using a formula, thereby measuring the gas flow rate. The various adjustment constants and variables in the formula work together to ensure that the calculation of the real-time flow rate can accurately reflect the real-time environment and animal dynamics inside the livestock farm. The real-time flow rate is incorporated into the real-time flow information, providing an accurate control basis for the negative pressure ventilation system.

[0112] In some embodiments, according to the real-time environmental images, determine the object type, object surface area, and object volume corresponding to the object type in each area; determine whether the object type generates gas. If the object type generates gas, obtain the gas type set, and determine the gas type according to the gas type set and the object type; according to the object surface area, real-time oxygen content, object volume, and real-time environmental temperature, calculate according to formula (3) to determine the gas concentration:

[0113] (3)

[0114] Wherein, represents the gas concentration, represents the preset concentration adjustment constant, represents the surface area of the object, represents the preset area influence coefficient, represents the volume of the object, represents the preset volume influence coefficient, represents the preset temperature influence coefficient, represents the real-time ambient temperature, represents the standard oxygen concentration, represents the real-time oxygen content, represents the preset oxygen content influence coefficient.

[0115] The set of gas types can be the set composed of the types corresponding to the gases generated by each type of object in each area of the livestock farm.

[0116] The real-time oxygen content can be the content corresponding to the oxygen in the air inside the livestock farm.

[0117] The preset concentration adjustment constant can be a value that adjusts the influence of the object surface area, real-time oxygen content, object volume, and real-time ambient temperature on the gas concentration calculation result.

[0118] The preset area influence coefficient can be a value that the object surface area affects the gas concentration calculation result.

[0119] The preset volume influence coefficient can be a value that the object volume affects the gas concentration calculation result.

[0120] The preset oxygen content influence coefficient can be a value that the real-time oxygen content affects the gas concentration calculation result.

[0121] Specifically, use a feature recognition algorithm to analyze the real-time environmental image to obtain the object type, object surface area, and object volume in each area. Obtain all possible objects and their gas generation possibilities from an object research website, and integrate all possible objects and their gas generation possibilities to obtain a preset object gas set. Match the object gas set obtained in the above steps with the preset object gas set. If the gas generation possibility matching the object type is not 0, determine that the object type in each area obtained in the above steps generates gas. Obtain the real-time oxygen content from the gas monitoring information. Obtain the gas type set from the livestock farm management system, match the object type with the gas type set, and obtain the gas type corresponding to the gas generated by the object type. Obtain the historical object surface area, historical real-time oxygen content, historical object volume, historical real-time environmental temperature, and historical gas concentration from the livestock farm management system, and calculate the historical object surface area, historical real-time oxygen content, historical object volume, historical real-time environmental temperature, and historical gas concentration obtained in the above steps to obtain a preset concentration adjustment constant, a preset area influence coefficient, a preset volume influence coefficient, and a preset oxygen content influence coefficient. In the process of calculating the preset concentration adjustment constant, the preset area influence coefficient, the preset volume influence coefficient, and the preset oxygen content influence coefficient, methods such as linear regression analysis, regression tree analysis, random forest analysis, and neural network regression analysis can be used for calculation. Use a mathematical analysis method to analyze the object surface area, real-time oxygen content, object volume, real-time environmental temperature, preset concentration adjustment constant, preset area influence coefficient, preset volume influence coefficient, preset temperature influence coefficient, preset oxygen content influence coefficient, and standard oxygen concentration to obtain the gas concentration, and calculate according to formula (3) to obtain the gas concentration.

[0122] Among them, in formula (3), The existence of enables the formula to adapt to different fermentation objects or different environmental conditions, ensuring that the formula can reflect the actual changes in gas concentration in reality. In: The influence of is expressed as where is greater than 1, indicating that the increase in the object surface area has an accelerating effect on the gas concentration (power-law growth). The influence of is represented by where is a negative influence coefficient, is less than 1, indicating The degree to which the gas concentration decreases when increases. reflects the synergistic effect of the object surface area and the object volume during the fermentation process. In the form of a power, the influence of the surface area and volume of the object on the gas concentration is made more in line with the actual situation, avoiding the linear assumption. Among them: generally, an increase in temperature will accelerate the fermentation process, resulting in more gas production. Therefore, is used to represent this influence. To reflect the inhibitory effect of the real-time oxygen content on the gas concentration, is in the form of: when is close to , this term approaches 1 and has a small influence on the gas concentration. When is small, the value of this term will be greater than 1, indicating that a low oxygen concentration promotes the increase in gas concentration. The larger it is, the more significant the influence of the real-time oxygen content on the calculation result of the gas concentration.

[0123] Through this solution, the object types, their surface areas and volumes within the area are identified from the real-time environmental images, and it is analyzed which objects may release gas. For the objects that produce gas, the types of released gas are determined according to the set of gas types. Using these data, the gas concentration is calculated through a specific formula, which includes variables such as the surface area, volume, oxygen content, and environmental temperature of the object. The preset concentration adjustment constant, preset area influence coefficient, preset volume influence coefficient, preset temperature influence coefficient, and preset oxygen content influence coefficient in the formula ensure that the calculation of the gas concentration can reflect the gas release characteristics of each object and the influence of environmental changes. Through the calculation of the standard oxygen concentration and the real-time oxygen content, the gas concentration is further adjusted, so as to realize the dynamic monitoring of the gas concentration and provide a more accurate decision-making basis for the negative pressure ventilation operation in the livestock farm.

[0124] In some embodiments, according to the number of ventilation openings, the installation height of the fan, the maximum rotation speed of the fan, the rotation speed of the fan, the opening angle of the fan, the real-time activity intensity, the real-time flow velocity, the real-time environmental humidity, and the external air wind speed, the real-time air extraction volume in the livestock farm is determined; according to the real-time environmental image and the real-time flow direction, the degree of obstruction to air circulation in each area is determined; according to the degree of obstruction and the real-time flow rate, the air ventilation speed flowing through each area is determined; according to the ventilation opening height, the fan installation height, the external air wind speed, and the external air wind direction, the real-time opening angle of the ventilation opening is determined; the real-time opening angle, the air ventilation speed, and the real-time air extraction volume are incorporated into the negative pressure ventilation strategy.

[0125] The fan installation height can be the vertical distance between the position of the negative pressure fan on the wall and the ground.

[0126] The maximum rotation speed of the fan can be the rotation speed of the fan blades when the negative pressure fan operates at the maximum power.

[0127] The opening angle of the fan can be the angle formed between the opening direction of the negative pressure fan and the wall where the fan is located.

[0128] The real-time air extraction volume can be the volume of air extracted by the negative pressure fan when extracting air in the livestock farm.

[0129] The real-time flow direction can be the direction corresponding to the flow of air in the livestock farm.

[0130] The blocking degree can be the value corresponding to the strength of the obstacle to air flow caused by the area in the livestock farm.

[0131] The air ventilation speed can be the speed corresponding to the flow of air passing through each area in the livestock farm.

[0132] The real-time opening angle can be the angle formed between the opening direction of the ventilation opening and the wall of the livestock farm.

[0133] Specifically, the external air wind speed and external air wind direction are extracted from the external air information. The number of ventilation openings, ventilation opening height, fan rotation speed, maximum fan rotation speed, and fan installation height are extracted from the negative pressure ventilation system information. Using mathematical analysis methods, the real-time air extraction volume of the air in the livestock farm is determined based on the number of ventilation openings, fan installation height, maximum fan rotation speed, fan rotation speed, fan opening angle, real-time activity intensity, real-time flow speed, real-time environmental humidity, and external air wind speed. Using image analysis methods to analyze the real-time environmental image, the location and area of each area in the livestock farm are obtained. Using computational fluid dynamics technology to analyze the location of the area, real-time flow direction, and area of the area, the blocking degree is obtained. Using mathematical analysis methods to analyze the blocking degree and real-time flow rate, the air ventilation speed flowing through each area is determined. Using mathematical analysis methods to analyze the ventilation opening height, fan installation height, external air wind speed, and external air wind direction, the real-time opening angle of the ventilation opening is obtained. The real-time opening angle, air ventilation speed, and real-time air extraction volume are incorporated into the negative pressure ventilation strategy.

[0134] Through this solution, based on the fan rotation speed, fan installation height, maximum fan wind speed of the negative pressure fan, the number of ventilation openings, and the fan opening angle, combined with the external air wind speed of the external environment, the real-time air extraction volume in the livestock farm is calculated to ensure the effectiveness of air flow. The real-time flow information and real-time environmental image help determine the blocking degree of each area to air circulation, thereby evaluating which areas have restricted air flow. According to the blocking degree and real-time flow rate, the air ventilation speed of each area is calculated to ensure uniform air distribution throughout the space. At the same time, considering the external air wind speed and external air wind direction, the opening angle of the ventilation opening is adjusted to optimize the inflow and outflow of air. Combining factors such as the real-time opening angle, air ventilation speed, and real-time air extraction volume, a dynamic negative pressure ventilation strategy is formed, and the negative pressure ventilation system in the livestock farm is adjusted in real time according to the negative pressure ventilation strategy, thereby achieving the best air quality control.

[0135] In some embodiments, according to the number of ventilation openings, the installation height of the fan, the maximum rotational speed of the fan, the rotational speed of the fan, the opening angle of the fan, the real-time activity intensity, the real-time flow velocity, the real-time ambient humidity, and the external air wind speed, calculate according to formula (4) to determine the real-time air extraction volume in the livestock farm:

[0136] (4)

[0137] Wherein, represents the real-time air extraction volume, represents the preset fan constant, represents the rotational speed of the fan, represents the number of ventilation openings, represents the real-time flow velocity, represents the installation height of the fan, represents the preset fan height coefficient, represents the real-time activity intensity, represents the real-time ambient humidity, represents the external air wind speed, represents the preset air flow velocity coefficient, represents the maximum rotational speed of the fan, represents the opening angle of the fan, represents the preset comprehensive flow velocity coefficient.

[0138] The preset fan constant can be the value corresponding to the influence of the working parameters of the negative pressure fan on the calculation result of the real-time air extraction volume.

[0139] The preset fan height coefficient can be the value corresponding to the influence of the installation height of the fan on the calculation result of the real-time air extraction volume.

[0140] The preset air flow velocity coefficient can be the value corresponding to the influence of the real-time flow velocity on the calculation result of the real-time air extraction volume.

[0141] The preset comprehensive flow velocity coefficient can be the value corresponding to the combined influence of the real-time flow velocity and the external air wind speed on the calculation result of the real-time air extraction volume.

[0142] Specifically, obtain the historical number of ventilation openings, historical fan installation height, historical maximum fan speed, historical fan speed, historical fan opening angle, historical real-time activity intensity, historical real-time flow velocity, historical real-time ambient humidity, historical external air wind speed, and historical air extraction volume from the livestock farm management system, and calculate the historical number of ventilation openings, historical fan installation height, historical maximum fan speed, historical fan speed, historical fan opening angle, historical real-time activity intensity, historical real-time flow velocity, historical real-time ambient humidity, historical external air wind speed, and historical air extraction volume obtained in the above steps to obtain a preset fan constant, a preset fan height coefficient, a preset air flow velocity coefficient, and a preset comprehensive flow velocity coefficient. In the process of calculating the preset fan constant, the preset fan height coefficient, the preset air flow velocity coefficient, and the preset comprehensive flow velocity coefficient, linear regression analysis methods, regression tree analysis methods, random forest analysis methods, and neural network regression analysis methods can be used for calculation. Use mathematical analysis methods to analyze the number of ventilation openings, fan installation height, maximum fan speed, fan speed, fan opening angle, real-time activity intensity, real-time flow velocity, real-time ambient humidity, external air wind speed, preset fan constant, preset fan height coefficient, preset air flow velocity coefficient, and preset comprehensive flow velocity coefficient, and calculate according to formula (4) to obtain the real-time air extraction volume.

[0143] Among them, in formula (4), is used to adjust the standard capacity of the negative pressure fan. Due to design and technical differences, different negative pressure fans have different values. The larger the [[value]], the more channels for air circulation. The number of ventilation openings determines the efficiency of air flow. As the fan installation height increases, the resistance of the air flow usually increases, so is used to reduce the increase in air extraction volume. reflects the decreasing influence of the fan air extraction efficiency as the installation height increases. Use to compensate for changes. illustrates the actual working efficiency of the negative pressure fan at the current speed. The larger the [[value]], the stronger the air extraction ability. reflects the influence of the fan opening angle. By calculating the ratio of the fan opening angle to the maximum value of 90 degrees, it is ensured that the influence of the change in the fan opening angle on the real-time air extraction volume is relative. is a linear increment. The more active the animals are, the greater the air flow required. If the real-time flow velocity of the air is relatively fast, the air extraction efficiency of the negative pressure fan will decrease. Through the influence of the real-time flow velocity of the air on the real-time air extraction volume, the contribution of the relatively large real-time flow velocity to the real-time air extraction volume decreases. When it is relatively high, the density of the air increases, thereby increasing the resistance to air flow and reducing the air extraction capacity of the negative pressure fan. Therefore, the influence of the real-time environmental humidity is negatively correlated. The higher it is, the lower the real-time air extraction volume. Among them: If the external air wind speed is relatively high and there is a difference from the real-time flow speed within the livestock farm, the air extraction effect of the negative pressure fan will be affected. By adjusting the difference between the external air wind speed and the real-time flow speed, the air extraction efficiency of the negative pressure fan is corrected.

[0144] Through this solution, through a comprehensive formula, the real-time air extraction volume within the livestock farm is accurately calculated to achieve the best ventilation effect. Presetting basic parameters such as the fan constant and the number of ventilation openings provides a basis for the calculation. The fan rotation speed, the fan installation height, and the maximum fan rotation speed determine the intensity and effect of the air flow. At the same time, considering the influence of the preset fan height coefficient to adjust the influence of the fan installation height on the ventilation efficiency. The real-time activity intensity, the real-time flow speed, and the real-time environmental humidity reflect the dynamically changing air flow situation within the livestock farm. Combining the external air wind speed and the preset air flow velocity coefficient ensures that the influence of the external air on the indoor air flow is fully considered. The adjustment of the fan opening angle and the fan rotation speed further refines the speed and distribution of the air flow. Through the multiple parameter effects of the formula, the real-time air extraction volume accurately reflects the air flow requirements within the livestock farm, thereby realizing dynamic adjustment and maintaining the stability and smoothness of the air quality within the livestock farm.

[0145] In some embodiments, according to the real-time environmental image, determine the regional structure of each region, the regional height of each region, and the location of each region; according to the regional structure, the location of the region, and the regional height, determine the actual throughput when air circulates in each region; according to the actual throughput, the real-time flow speed, and the real-time circulation volume, determine the blocking degree.

[0146] The actual throughput can be the volume corresponding to the air flowing to the next region after passing through each region within the livestock farm.

[0147] The real-time circulation volume can be the volume corresponding to the air before passing through each region within the livestock farm.

[0148] Specifically, the real-time flow height and the real-time flow width of the air are extracted from the real-time flow information. Subtract the real-time flow height from the regional height to obtain the air flow height. Based on the regional structure and the location of the region, divide the real-time circulation volume by the real-time flow height and the real-time flow width to obtain the real-time flow length of the air. Multiply the real-time flow length, the air flow height, and the real-time flow width to obtain the actual throughput. Based on the real-time flow speed, divide the actual throughput by the real-time circulation volume to obtain the blocking degree.

[0149] Through this solution, the structure, area height, and location of each area are obtained from the real-time environmental image, and the physical characteristics and layout of each area are clarified. Based on these structural and location characteristics, the air flow path and actual throughput in each area are analyzed, considering the space limitations of the area and the impact of obstacles on the air flow. Through the real-time flow velocity and real-time throughput, combined with the calculated actual throughput, the degree of obstruction of each area to air circulation is further quantified. This process not only ensures the accurate assessment of air flow but also optimizes the ventilation design by dynamically adjusting the degree of obstruction, thereby responding to environmental changes in real time, ensuring air circulation efficiency, and effectively improving the overall ventilation effect and air quality.

[0150] In some embodiments, according to the real-time environmental image, the real-time animal height and the area of each area within the livestock farm are determined; according to the area height, real-time animal volume, real-time animal height, and real-time throughput, the intercepted volume of the real-time animal height in each area on the real-time throughput is determined; according to the intercepted volume, real-time throughput, and real-time flow velocity, the actual throughput is determined.

[0151] The intercepted volume may be the volume of air intercepted when objects and animals in the livestock farm area block the passing air.

[0152] Specifically, a feature recognition algorithm is used to analyze the real-time environmental image to obtain the real-time animal height and the area of each area within the livestock farm. A mathematical analysis method is used to analyze the area height, real-time animal volume, real-time animal height, and real-time throughput to obtain the intercepted volume of the real-time animal height in each area on the real-time throughput. The intercepted volume is multiplied by the real-time flow velocity to obtain a multiplied value. The real-time throughput is subtracted from the multiplied value to obtain the actual throughput.

[0153] Through this solution, the area structure, area height, and location of each area are obtained from the real-time environmental image, and the physical characteristics and layout of each area are clarified. Based on these structural and location characteristics, the actual throughput of air in each area is analyzed. Through the real-time flow velocity and real-time throughput, combined with the calculated actual throughput, the degree of obstruction of each area to air circulation is further quantified. This process not only ensures the accurate assessment of air flow but also optimizes the ventilation design by dynamically adjusting the degree of obstruction, thereby responding to environmental changes in the livestock farm in real time, ensuring air circulation efficiency, and effectively improving the overall ventilation effect and air quality.

[0154] In some embodiments, according to the real-time environmental image, the horizontal distance between the ventilation opening and the negative pressure fan is determined; according to the air wind direction angle, fan wind speed, ventilation opening height, horizontal distance, fan installation height, external air wind speed, and external air wind direction, the real-time opening angle of the ventilation opening is determined by calculation according to formula (5):

[0155] (5)

[0156] Wherein, represents the real-time opening angle, represents the height of the ventilation opening, represents the installation height of the fan, represents the horizontal distance, represents the external air wind speed, represents the fan wind speed, represents the air wind direction angle.

[0157] The real-time opening angle can be the angle formed between the opening direction of the ventilation opening and the wall of the livestock farm during the negative pressure ventilation operation of the negative pressure fan in the livestock farm.

[0158] The fan wind speed can be the flow rate of the air extracted when the negative pressure fan extracts the air in the livestock farm.

[0159] The horizontal distance can be the straight-line distance on the same horizontal plane between the location of the negative pressure fan and the location of the ventilation opening.

[0160] The air wind direction angle can be the angle formed between the external air wind direction and the wall where the ventilation opening is located.

[0161] Specifically, the fan wind speed is extracted from the negative pressure ventilation system information, and the air wind direction angle of the external air is extracted from the external air information. The horizontal distance is obtained by analyzing the real-time environment image using an image analysis algorithm. The air wind direction angle, the height of the ventilation opening, the horizontal distance, the installation height of the fan, the external air wind speed, and the external air wind direction are analyzed using mathematical analysis methods, and calculated according to formula (5) to determine the real-time opening angle of the ventilation opening.

[0162] Wherein, in formula (5), the formula calculates the real-time opening angle of the ventilation opening through the arctangent function The arctangent is a common trigonometric function used to derive the angle from a known slope (in formula (5) it is the ratio of and ). reflects the vertical difference between the ventilation opening and the negative pressure fan, and this difference directly affects the direction and speed of air flow. A larger horizontal distance usually means that the air needs to travel a longer path, resulting in a decay of the wind speed, so it is necessary to adjust the opening angle of the ventilation opening to compensate for the loss of air flow rate. measures the relationship between the external air wind speed and the fan wind speed. If the fan wind speed is high ( ), it means that the negative pressure fan mainly provides the air flow, and the wind speed of the fan needs to be considered when adjusting the opening angle. In: Air wind direction angle It affects the air flow path. If the air wind direction angle is relatively large, the air flow deviates from the direction of the ventilation opening, resulting in a decrease in flow efficiency. It is exactly used to consider the influence of the air wind direction angle on the real-time opening angle.

[0163] Through this solution, based on the real-time environmental image, the real-time animal height and area of each area in the livestock farm are obtained, providing basic data for subsequent analysis. Combining the area height, real-time animal volume, real-time animal height, and real-time circulation volume, the intercepted volume of air flow by animals is calculated, that is, the influence of the space occupied by animals on air flow. By considering the volume and height of animals, the actual obstruction or interference of animals on air flow is reflected. Combining the intercepted volume, real-time circulation volume, and real-time flow velocity, the actual throughput of each area is accurately calculated. It not only optimizes the air circulation mode but also effectively adjusts the parameters of the negative pressure fan to ensure the dynamic balance of the air quality in the livestock farm, thereby improving the air conditioning efficiency of the negative pressure fan.

[0164] Figure 3 It is a schematic structural diagram of an intelligent ecological breeding system for a livestock farm provided by an embodiment of the present application. As Figure 3 shown, the intelligent ecological breeding system 300 of the livestock farm in this embodiment includes: a flow information determination module 301 and a ventilation strategy determination module 302.

[0165] The flow information determination module 301 is used to obtain livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determine the real-time flow information of the gas in the livestock farm according to the real-time animal information, the livestock farm information, and the real-time environmental information;

[0166] The ventilation strategy determination module 302 is used to obtain negative pressure ventilation system information and external air information, determine a negative pressure ventilation strategy according to the negative pressure ventilation system information, the external air information, and the real-time flow information, and perform negative pressure ventilation operations on the livestock farm according to the negative pressure ventilation strategy.

[0167] Optionally, the flow information determination module 301 is specifically used for:

[0168] Determine the real-time flow velocity according to the building height, the total air volume, the real-time environmental humidity, the real-time animal volume, and the real-time animal quantity, and calculate according to the following formula:

[0169] ;

[0170] Wherein, represents the real-time flow velocity, represents a preset adjustment constant, represents the building height, represents the real-time environmental humidity, represents the real-time animal volume, represents the real-time animal quantity, represents the total air volume;

[0171] Incorporate the real-time flow velocity into the real-time flow information.

[0172] Optionally, the flow information determination module 301 is specifically configured to:

[0173] Obtain a real-time environmental image of the livestock farm, and determine the real-time animal density according to the real-time environmental image and the real-time animal quantity;

[0174] Determine the number of areas in the livestock farm and the real-time activity intensity of the animals in the livestock farm according to the real-time environmental image;

[0175] Determine the gas type of each area and the gas concentration corresponding to the gas type according to the gas monitoring information and the number of areas;

[0176] Determine the real-time circulation volume according to the real-time activity intensity, the gas concentration, the real-time animal density, the real-time environmental temperature, and the building height, and calculate according to the following formula:

[0177] ;

[0178] Wherein, represents the real-time circulation volume, represents a preset circulation volume adjustment constant, represents the real-time activity intensity, represents a preset concentration influence coefficient, represents the gas concentration, represents a preset temperature influence coefficient, represents the real-time environmental temperature, represents a preset density influence coefficient, represents the real-time animal density, represents the building height;

[0179] Incorporate the real-time circulation volume into the real-time flow information.

[0180] Optionally, the flow information determination module 301 is specifically configured to:

[0181] Determine the object type, object surface area, and object volume corresponding to the object type in each area according to the real-time environmental image;

[0182] Determine whether the object type generates gas. If the object type generates gas, obtain the gas type set, and determine the gas type according to the gas type set and the object type;

[0183] Determine the gas concentration according to the object surface area, the real-time oxygen content, the object volume, and the real-time ambient temperature, and calculate according to the following formula:

[0184] ;

[0185] where, represents the gas concentration, represents the preset concentration adjustment constant, represents the object surface area, represents the preset area influence coefficient, represents the object volume, represents the preset volume influence coefficient, represents the preset temperature influence coefficient, represents the real-time ambient temperature, represents the standard oxygen concentration, represents the real-time oxygen content, represents the preset oxygen content influence coefficient.

[0186] Optionally, the ventilation strategy determination module 302 is specifically configured to:

[0187] Determine the real-time air extraction volume in the livestock farm according to the number of ventilation openings, the installation height of the fan, the maximum rotation speed of the fan, the rotation speed of the fan, the opening angle of the fan, the real-time activity intensity, the real-time flow velocity, the real-time ambient humidity, and the external air wind speed;

[0188] Determine the degree of air flow blockage in each area according to the real-time environmental image and the real-time flow direction;

[0189] Determine the air ventilation speed flowing through each area according to the degree of blockage and the real-time flow rate;

[0190] Determine the real-time opening angle of the ventilation opening according to the height of the ventilation opening, the installation height of the fan, the external air wind speed, and the external air wind direction;

[0191] Incorporate the real-time opening angle, the air ventilation speed, and the real-time air extraction volume into the negative pressure ventilation strategy.

[0192] Optionally, the ventilation strategy determination module 302 is specifically configured to:

[0193] ;

[0194] Among them, represents the real-time air extraction volume, represents the preset fan constant, represents the rotational speed of the fan, represents the number of ventilation openings, represents the real-time flow velocity, represents the installation height of the fan, represents the preset fan height coefficient, represents the real-time activity intensity, represents the real-time environmental humidity, represents the external air wind speed, represents the preset air flow velocity coefficient, represents the maximum rotational speed of the fan, represents the opening angle of the fan, represents the preset comprehensive flow velocity coefficient.

[0195] Optionally, the ventilation strategy determination module 302 is specifically configured to:

[0196] Determine the regional structure, regional height, and location of each region based on the real-time environmental image;

[0197] Determine the actual passing volume of air when flowing through each region based on the regional structure, location of the region, and regional height;

[0198] Determine the blocking degree based on the actual passing volume, real-time flow velocity, and real-time circulation volume.

[0199] Optionally, the ventilation strategy determination module 302 is specifically configured to:

[0200] Determine the real-time animal height and the regional area of each region in the livestock farm based on the real-time environmental image;

[0201] Determine the intercepted volume of the real-time animal height in each region on the real-time circulation volume based on the regional height, real-time animal volume, real-time animal height, and real-time circulation volume;

[0202] Determine the actual passing volume based on the intercepted volume, real-time circulation volume, and real-time flow velocity.

[0203] Optionally, the ventilation strategy determination module 302 is specifically configured to:

[0204] Determine the horizontal distance between the ventilation opening and the negative pressure fan based on the real-time environmental image;

[0205] Determine the real-time opening angle of the ventilation opening according to the air wind direction angle, the fan wind speed, the ventilation opening height, the horizontal distance, the fan installation height, the external air wind speed, and the external air wind direction, and calculate according to the following formula:

[0206] ;

[0207] Wherein, represents the real-time opening angle, represents the ventilation opening height, represents the fan installation height, represents the horizontal distance, represents the external air wind speed, represents the fan wind speed, represents the air wind direction angle.

[0208] The system of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effects are similar, which will not be elaborated here.

Claims

1. An intelligent ecological breeding method for livestock farms, characterized in that: include: Acquire livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determine real-time flow information of gas in the livestock farm based on the real-time animal information, the livestock farm information, and the real-time environmental information; Acquire negative pressure ventilation system information and external air information, determine a negative pressure ventilation strategy according to the negative pressure ventilation system information, the external air information and the real-time flow information, and perform negative pressure ventilation operation on the livestock farm according to the negative pressure ventilation strategy; The real-time environmental information includes the real-time environmental humidity in the livestock farm, the external air information includes the external air wind speed and the external air wind direction, the negative pressure ventilation system information includes the number of vents, the height of the vents, the fan speed, the maximum fan speed and the fan installation height, the real-time flow information includes the real-time flow direction, and the negative pressure ventilation strategy is determined according to the negative pressure ventilation system information, the external air information and the real-time flow information, including: Determine the real-time extraction volume of air in the livestock farm according to the number of vents, the fan installation height, the maximum fan speed, the fan speed, the fan opening angle, the real-time activity intensity, the real-time flow speed, the real-time ambient humidity and the external air speed; Acquire a real-time environmental image in the livestock farm, and determine the degree of obstruction of air circulation in each area according to the real-time environmental image and the real-time flow direction; Determine the air ventilation speed flowing through each area according to the degree of obstruction and the real-time flow volume; Determining a real-time opening angle of the vent according to the vent height, the fan installation height, the external air speed and the external air direction; The real-time opening angle, the air ventilation speed and the real-time exhaust volume are incorporated into the negative pressure ventilation strategy.

2. The method according to claim 1, characterized in that The livestock farm information includes the building height of the livestock farm and the total air volume of the livestock farm, the real-time animal information includes the real-time number of animals and the real-time animal volume, and the real-time flow information of the gas in the livestock farm is determined according to the real-time animal information, the livestock farm information and the real-time environmental information, including: The real-time flow velocity is determined based on the building height, the total air volume, the real-time ambient humidity, the real-time animal volume and the real-time animal quantity, and is calculated according to the following formula: ； in, represents the real-time flow speed, Indicates the preset adjustment constant, represents the building height, Indicates the real-time ambient humidity. represents the real-time animal volume, Indicates the real-time number of animals, represents said total air volume; The real-time flow speed is incorporated into the real-time flow information.

3. The method according to claim 2, characterized in that The real-time environmental information includes the real-time environmental temperature in the livestock farm, the real-time environmental information includes the gas monitoring information in the livestock farm, and the real-time flow information of the gas in the livestock farm is determined according to the real-time animal information, the livestock farm information and the real-time environmental information, including: Determining real-time animal density according to the real-time environmental image and the real-time animal quantity; Determine the number of areas in the livestock farm and the real-time activity intensity of animals in the livestock farm based on the real-time environmental image; Determine the gas type of each area and the gas concentration corresponding to the gas type according to the gas monitoring information and the number of areas; The real-time flow rate is determined according to the real-time activity intensity, the gas concentration, the real-time animal density, the real-time ambient temperature and the building height, and is calculated according to the following formula: ； in, Indicates the real-time circulation amount, Indicates the preset flow adjustment constant, represents the real-time activity intensity, Indicates the preset concentration influence coefficient, represents the gas concentration, Indicates the preset temperature influence coefficient, represents the real-time ambient temperature, Indicates the preset density influence coefficient, represents the real-time animal density, represents the height of the building; The real-time circulation volume is incorporated into the real-time flow information.

4. The method according to claim 3, characterized in that The gas monitoring information includes the real-time oxygen content in the livestock farm, and the gas type and the gas concentration corresponding to the gas type in each area are determined according to the gas monitoring information and the number of areas, including: Determine, according to the real-time environment image, the object type, the object surface area, and the object volume corresponding to the object type in each area; Determine whether the object type generates gas, if the object type generates gas, obtain a gas type set, and determine the gas type according to the gas type set and the object type; The gas concentration is determined according to the surface area of ​​the object, the real-time oxygen content, the volume of the object and the real-time ambient temperature, and is calculated according to the following formula: ； in, represents the gas concentration, Indicates the preset concentration adjustment constant, represents the surface area of ​​the object, Indicates the preset area influence coefficient, represents the volume of the object, Indicates the preset volume influence coefficient, represents the preset temperature influence coefficient, represents the real-time ambient temperature, Indicates the standard oxygen concentration, Indicates the real-time oxygen content, Indicates the preset oxygen content influence coefficient.

5. The method according to claim 2, characterized in that: The real-time air extraction volume in the farm is determined according to the number of vents, the fan installation height, the maximum fan speed, the fan speed, the fan opening angle, the real-time activity intensity, the real-time flow speed, the real-time ambient humidity and the external air speed, and is calculated according to the following formula: ； in, Indicates the real-time air extraction volume, Indicates the preset fan constant, represents the fan speed, represents the number of vents, represents the real-time flow speed, Indicates the fan installation height, Indicates the preset fan height factor, represents the real-time activity intensity, represents the real-time ambient humidity, represents the outside air speed, Indicates the preset air velocity coefficient, Indicates the maximum speed of the fan, represents the fan opening angle, Indicates the preset comprehensive flow rate coefficient.

6. The method according to claim 5, characterized in that Determining the degree of obstruction of each area to air circulation according to the real-time environment image and the real-time flow direction includes: Determine, according to the real-time environment image, the regional structure of each region, the regional height of each region, and the regional position of each region; Determine the actual flow rate of air when it flows through each area according to the area structure, the location of the area and the height of the area; The blocking degree is determined based on the actual throughput, the real-time flow velocity, and the real-time flow volume.

7. The method according to claim 6, characterized in that The method of determining the actual flow rate of air when the air flows through each area according to the area structure, the location of the area and the height of the area includes: Determine the real-time height of animals in the farm and the area of ​​each area according to the real-time environmental image; Determine the interception volume of the real-time animal height of each area to the real-time flow rate according to the area height, the real-time animal volume, the real-time animal height and the real-time flow rate; The actual throughput is determined based on the hold-up volume, the real-time flow-through volume, and the real-time flow rate.

8. The method according to claim 7, characterized in that The negative pressure ventilation system information includes the fan wind speed, the external air information includes the air wind direction angle of the external air, and the real-time opening angle of the vent is determined according to the vent height, the fan installation height, the external air wind speed and the external air wind direction, including: Determining the horizontal distance between the vent and the negative pressure fan according to the real-time environmental image; According to the air wind direction angle, the fan wind speed, the vent height, the horizontal distance, the fan installation height, the external air wind speed and the external air wind direction, the real-time opening angle of the vent is determined and calculated according to the following formula: ; in, represents the real-time opening angle, represents the vent height, Indicates the installation height of the fan, represents the horizontal distance, represents the outside air speed, represents the wind speed of the fan, Indicates the air direction angle.

9. An intelligent ecological breeding system for livestock farms, characterized in that: The method as claimed in any one of claims 1 to 8 comprises: A flow information determination module, used to obtain livestock farm information, real-time animal information in the livestock farm, and real-time environmental information in the livestock farm, and determine real-time flow information of gas in the livestock farm based on the real-time animal information, the livestock farm information, and the real-time environmental information; The ventilation strategy determination module is used to obtain negative pressure ventilation system information and external air information, determine the negative pressure ventilation strategy based on the negative pressure ventilation system information, the external air information and the real-time flow information, and perform negative pressure ventilation operations on the livestock farm based on the negative pressure ventilation strategy.

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