A simulation inspection method for closed chicken houses

Abstract

The present application discloses a simulation inspection method for a closed chicken house, which belongs to the field of smart breeding technology. The present application first constructs a three-dimensional digital model of the chicken house to be inspected according to the breeding layout planning map of the chicken flock, then sets the initial boundary conditions of the chicken house to be inspected, and obtains the air flow field simulation distribution map of the chicken house to be inspected according to the three-dimensional digital model and the initial boundary conditions; the three-dimensional digital model is divided into several simulation modules, and the ventilation boundary conditions of each simulation module are respectively obtained according to the air flow field simulation distribution map, and at the same time, a proportional physical detection model of the simulation module is constructed, and the temperature simulation model is obtained through the physical detection model; finally, the breeding layout planning map of the chicken house is optimized according to the temperature simulation model and each ventilation boundary condition; the present application introduces a proportional model of the chicken flock in the process of constructing the three-dimensional digital model, and at the same time introduces live chickens in the simulation experiment to improve the authenticity of the airflow simulation and the physical simulation, thereby improving the accuracy of the simulation calculation.

Description

Technical Field

[0001] The present application relates to the field of smart farming technology, and specifically to a simulation inspection method for closed chicken houses. Background Art

[0002] Poultry farming is my country's second-largest livestock industry. Large-scale poultry farming in my country has experienced rapid growth, with egg and chicken production ranking first and second globally for many years. However, research on environmental control technologies and optimized henhouse design for large-scale poultry farming is relatively weak.

[0003] A closed chicken house, also known as a windowless chicken house or a controlled environment chicken house, is a fully enclosed livestock house with no windows or only emergency windows. It relies entirely on artificial lighting and mechanical ventilation to regulate the environment inside the house, thereby maintaining a stable internal environment.

[0004] In the existing technology, the ventilation system and temperature control system of the closed chicken house are generally simulated by computer simulation technology to optimize the internal planning of the farm. However, during the simulation process, the chicken flock is generally not included in the influencing factors. However, in the actual breeding process, the chicken flock is one of the factors that has a greater impact on the temperature changes in the closed chicken house. The heat generation of the chicken flock is highly correlated with individual factors and is highly random, which leads to low simulation accuracy. Summary of the Invention

[0005] The main purpose of this application is to provide a simulation inspection method for a closed chicken house, aiming to solve the defect of low simulation accuracy in the prior art.

[0006] This application achieves the above objectives through the following technical solutions:

[0007] A simulation inspection method for a closed chicken house comprises the following steps:

[0008] Constructing a three-dimensional digital model of the chicken house to be inspected based on the chicken farming layout plan, wherein the three-dimensional digital model includes a proportional digital model of the chickens;

[0009] Setting initial boundary conditions for ventilation detection of the chicken house to be inspected, and simulating and obtaining a simulated distribution diagram of the air flow field of the chicken house to be inspected based on the three-dimensional digital model and the initial boundary conditions;

[0010] Dividing the three-dimensional digital model into several simulation modules, and obtaining ventilation boundary conditions of each simulation module according to the air flow field simulation distribution map;

[0011] Constructing a proportional physical detection model of the simulation module, and obtaining a temperature simulation model based on the physical detection model; wherein the proportional physical detection model includes a plurality of live chickens;

[0012] The breeding layout planning diagram of the chicken house is adjusted and optimized according to the temperature simulation model and the ventilation boundary conditions.

[0013] Optionally, constructing a three-dimensional digital model of the chicken house to be inspected based on the chicken farming layout plan includes the following steps:

[0014] Obtain a layout plan of the breeding equipment in the chicken house to be inspected;

[0015] Obtain the building size parameters of the chicken house to be inspected;

[0016] Obtaining a digital model of each aquaculture equipment, wherein the digital model is a scale model of each aquaculture equipment;

[0017] According to the type of chickens, individual size parameters of the chickens are obtained and a chicken model is constructed, wherein the individual size parameters are the average size parameters of individual chickens in the same age group, wherein the individual size parameters are the average size parameters of individual chickens in the same age group;

[0018] A three-dimensional model of the chicken house to be inspected is constructed according to the building size parameters, and each digital model and chicken model is implanted into the three-dimensional model according to the breeding layout planning diagram to obtain a three-dimensional digital model of the chicken house to be inspected.

[0019] Optionally, setting initial boundary conditions for ventilation detection of the chicken house to be inspected, and simulating and obtaining a simulated distribution diagram of the air flow field of the chicken house to be inspected according to the three-dimensional digital model and the initial boundary conditions, includes the following steps:

[0020] The initial boundary conditions of the chicken house to be inspected are set according to the technical parameters of each ventilation device; wherein the initial boundary conditions include the wind speed and direction of each air inlet and the air pressure of the air outlet;

[0021] Obtaining the three-dimensional digital model;

[0022] The three-dimensional digital model and the initial boundary conditions are input into the simulation software, and the flow form simulation is performed based on the CFD method to generate a simulation distribution diagram of the air flow field of the chicken house to be inspected.

[0023] Optionally, dividing the three-dimensional digital model into a plurality of simulation modules comprises the following steps:

[0024] Obtaining the three-dimensional digital model and air flow field simulation distribution map;

[0025] Obtaining an airflow distribution boundary line according to the air flow field simulation distribution diagram;

[0026] The three-dimensional digital model is divided into several simulation modules according to the airflow distribution boundary line.

[0027] Optionally, obtaining ventilation boundary conditions of each simulation module according to the air flow field simulation distribution map includes the following steps:

[0028] Obtain air flow field simulation distribution map;

[0029] Select any simulation module, and segment the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module;

[0030] Selecting a main airflow direction as the intake airflow direction according to the local air flow field simulation distribution diagram;

[0031] Extracting the airflow velocity and airflow temperature in the direction of the intake airflow according to the local air flow field simulation distribution map, and using the airflow velocity and airflow temperature as ventilation boundary conditions;

[0032] Repeat the steps of selecting any simulation module and dividing the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module, and obtaining the ventilation boundary conditions of all simulation modules, wherein the ventilation boundary conditions include airflow temperature, airflow velocity and airflow direction.

[0033] Optionally, constructing a proportional physical detection model of the simulation module and obtaining a temperature simulation model based on the physical detection model includes the following steps:

[0034] Get the simulation module;

[0035] A physical model is made according to the simulation module, and the same number of live chickens are placed on the physical model to obtain a proportional physical detection model;

[0036] Select a normally operating farm and place the scaled physical detection model in the farm;

[0037] Performing a simulation experiment on the scaled physical detection model according to test conditions to obtain the ambient temperature of the scaled physical detection model under different test conditions, wherein the test conditions include a combination of multiple groups of different wind speeds and different airflow temperatures;

[0038] An air temperature simulation model is generated according to the test conditions and the ambient temperature.

[0039] Optionally, performing a simulation experiment on the proportional physical detection model according to test conditions to obtain the ambient temperature of the proportional physical detection model under different test conditions includes the following steps:

[0040] The test condition parameter set is determined according to the ventilation boundary condition, and the expression of the test condition parameter set is {(T1, V1), (T2, V2), ..., (T n 、V n )}, where n represents the number of test conditions;

[0041] Set the sampling frequency and duration of ambient temperature;

[0042] Get the test conditions (T i 、V i ), input the test conditions (T i 、V i ), where i represents the number of the test condition;

[0043] Get some ambient temperature detection parameters T i-1 '、T i-2 ', ..., T i-m ', calculate the ambient temperature according to each of the ambient temperature detection parameters, the expression of the ambient temperature is: , where m represents the number of ambient temperature detection parameters;

[0044] Repeated acquisition of test conditions (T i 、V i ), input the test conditions (T i 、V i ) of the airflow step, obtain all ambient temperatures T1', T2', ..., T n '.

[0045] Optionally, generating an air temperature simulation model based on the test conditions and the ambient temperature fitting includes the following steps:

[0046] Get the test condition parameter set {(T1, V1), (T2, V2), ..., (T n 、V n )} and ambient temperature T1', T2', ..., T n ';

[0047] According to the corresponding relationship, the test condition parameter set {(T1, V1), (T2, V2), ..., (T n 、V n )} and the ambient temperature to obtain the fitting data set {(T1, V1, T1'), (T2, V2, T2'), ..., (T n 、V n 、T n ')};

[0048] Constructing a standard coordinate system, and obtaining fitting points in the standard coordinate system according to the fitting data set;

[0049] Combining the fitting points, a temperature simulation model is generated by computer fitting.

[0050] Optionally, adjusting and optimizing the chicken house breeding layout plan according to the temperature simulation model and the ventilation boundary conditions includes the following steps:

[0051] Obtain the temperature simulation model and ventilation boundary conditions of each simulation module;

[0052] Substituting each of the ventilation boundary conditions into the temperature simulation model to calculate the simulation temperature of each of the simulation modules;

[0053] The breeding layout plan of the chicken house is adjusted and optimized according to the simulated temperatures.

[0054] Optionally, adjusting and optimizing the chicken house breeding layout plan according to each of the simulated temperatures includes the following steps:

[0055] Obtaining an optimal temperature range for raising chickens, and constructing an upper reference plane and a lower reference plane based on the optimal temperature range;

[0056] Constructing a temperature distribution surface graph according to each of the simulation temperatures;

[0057] The upper determination reference plane, the lower determination reference plane, and the temperature distribution surface map are implanted into the same coordinate system to identify a temperature anomaly area; wherein the temperature anomaly area is represented by the temperature distribution surface map as an area above the upper determination reference plane and below the lower determination reference plane;

[0058] Adjust the breeding layout plan, initial boundary conditions and breeding density, and repeat the steps of constructing a three-dimensional digital model of the chicken house to be inspected based on the breeding layout plan of the chicken flock, wherein the three-dimensional model includes a proportional digital model of the chicken flock, until all temperature abnormalities are eliminated.

[0059] Compared with the prior art, this application has the following beneficial effects:

[0060] This application first constructs a three-dimensional digital model of the chicken house to be inspected based on the breeding layout planning map of the chicken flock, and sets the initial boundary conditions of the three-dimensional digital model ventilation simulation, and obtains the air flow field simulation distribution map of the chicken house to be inspected based on the three-dimensional digital model and the initial boundary conditions; divides the three-dimensional digital model into several simulation modules, and obtains the ventilation boundary conditions of each simulation module according to the air flow field simulation distribution map, and at the same time constructs a proportional physical detection model of the simulation module, and obtains the temperature simulation model according to the physical detection model; finally, the breeding layout planning map of the chicken house is adjusted and optimized according to the temperature simulation model and each ventilation boundary condition.

[0061] Compared with the existing technology, this application introduces a proportional model of the chicken flock in the process of constructing the three-dimensional digital model of the chicken house to be inspected according to the type of chickens raised, so that the three-dimensional digital model is closer to the actual breeding status; it is conducive to improving the accuracy of airflow simulation.

[0062] Secondly, during the detection process, this application obtained a temperature simulation model through actual simulation experiments conducted on a proportional physical detection model. Live chickens were introduced into the above simulation experiment, thereby reducing the influence of the uncontrollable variable of individual chicken factors in the calculation process of ambient temperature, and improving the accuracy of the simulation calculation as much as possible.

[0063] Finally, by changing the initial boundary conditions, this application can generate a variety of different airflow models, thereby obtaining the temperature distribution under different airflow conditions. By comparing multiple temperature distributions, staff can formulate ventilation adjustment technical solutions more scientifically.

[0064] At the same time, since chickens of different ages require different breeding temperatures, the above temperature distribution surface can be used to breed chickens of different ages in the same chicken house, thereby achieving scientific breeding and improving the utilization rate of the chicken house.

[0065] The research on the simulation inspection method of closed chicken houses in this application is conducive to further improving the environmental control technology of large-scale chicken production, optimizing the design of chicken houses, improving the equipment level of large-scale chicken farming in my country, and improving the production level and economic benefits of large-scale chicken farming. It has a huge driving effect on the scientific and technological progress of my country's chicken industry and promoted the transformation and upgrading of the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is a flow chart of a simulation inspection method for a closed chicken house provided in Example 1 of the present application;

[0067] Figure 2 A simplified perspective view of the three-dimensional digital model of the chicken house to be inspected;

[0068] Figure 3 for Figure 2 Schematic diagram of the air flow field simulation distribution diagram of the three-dimensional digital model shown;

[0069] Figure 4 A schematic diagram of the air flow field simulation distribution diagram of another feasible closed chicken house layout;

[0070] Figure 5 This is a schematic diagram of the chicken model;

[0071] Figure 6 is the temperature distribution surface diagram;

[0072] The purpose, features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0074] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0075] In the present invention, unless otherwise specified or limited, the terms "connection" and "fixation" should be understood in a broad sense. For example, "fixation" can mean fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two elements or interaction between two elements, unless otherwise specified. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0076] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the meaning of "and / or" appearing throughout the text includes three parallel schemes. Taking "robot coordinate system and / or m" as an example, it includes the robot coordinate system scheme, or the m scheme, or the scheme in which the robot coordinate system and m are satisfied at the same time. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that ordinary technicians in this field can implement it. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention. Example 1

[0077] Reference Figure 1 This embodiment, as an optional embodiment of the present application, discloses a simulation inspection method for a closed chicken house, comprising the following steps:

[0078] S1. Construct a three-dimensional digital model of the chicken house to be inspected based on the chicken farming layout plan, wherein the three-dimensional digital model includes a proportional digital model of the chickens;

[0079] S11. Obtain a layout plan of the breeding equipment in the chicken house to be inspected;

[0080] Obtain a layout plan of the breeding equipment in the chicken house to be inspected, which includes the specifications and layout of the chicken cages, the installation points of various auxiliary equipment, etc.

[0081] S12. Obtaining the building size parameters of the chicken house to be inspected;

[0082] The various building size parameters of the chicken house to be inspected are obtained by obtaining architectural drawings of the chicken house to be inspected or by actual measurement. It should be pointed out that the building size parameters include not only the most basic size parameters, but also the positions and size parameters of various vents and windows. The above data can be used to construct a proportional model of the chicken house to be inspected.

[0083] S13, obtaining a digital model of each breeding equipment, wherein the digital model is a proportional model of each breeding equipment;

[0084] S14. Obtain individual size parameters of the chickens according to the type of the chickens and construct a chicken model, wherein the individual size parameters are average size parameters of individual chickens in the same age group;

[0085] First, determine the species and age of the chickens in the chicken house. Then, retrieve the corresponding body parameters, such as height, from public data based on the species and age.

[0086] In addition, you can also randomly select a number of chickens in the same age group, measure the corresponding parameters and calculate their average size parameters, and use the above average size parameters as individual size parameters;

[0087] After obtaining the individual size parameters, a chicken model is made according to the above parameters, such as Figure 5 As shown;

[0088] S15. Construct a three-dimensional model of the chicken house to be inspected according to the building size parameters, and implant the digital models and chicken models into the three-dimensional model according to the breeding layout plan to obtain a three-dimensional digital model of the chicken house to be inspected.

[0089] Obtaining the parameters in steps S12, S13, and S14;

[0090] Create a 1:1 scale model of the chicken house to be inspected in the BIM software based on the building size parameters, and also build various equipment and chicken models;

[0091] Then, according to the layout plan, various equipment are imported into the proportional model of the chicken house to be inspected, so as to obtain the three-dimensional digital model of the chicken house to be inspected, such as Figure 2 shown.

[0092] It should be pointed out that the setting of chickens needs to be determined according to the breeding density; at the same time, the chicken house described in this application is a large-scale breeding using chicken cages, and the chickens' range of activity is limited, so the impact of chicken movement on the simulation results can be ignored.

[0093] In the process of constructing the above-mentioned three-dimensional digital model, this application introduces a proportional model of chickens, so that the three-dimensional digital model is closer to the actual breeding status. It can effectively simulate the blocking and diversion effects of chickens on airflow, thereby improving the accuracy of airflow simulation, especially the simulation accuracy of the airflow around the chicken cage and after passing through the chicken cage.

[0094] S2. Setting initial boundary conditions for ventilation detection of the chicken house to be inspected, and obtaining a simulated distribution diagram of the air flow field of the chicken house to be inspected based on the three-dimensional digital model and the initial boundary conditions;

[0095] S21. Setting the initial boundary conditions of the chicken house to be inspected according to the technical parameters of each ventilation equipment; wherein the initial boundary conditions include the wind speed and direction of each air inlet and the air pressure of the air outlet.

[0096] When designing a closed chicken house, a corresponding ventilation system will be designed. By retrieving the above data, the technical parameters of the entire ventilation device can be accurately obtained, such as ventilation volume, air inlet wind speed, air inlet wind direction and air outlet pressure, etc. The initial boundary conditions are set according to the above technical parameters, where the initial boundary conditions include the wind speed and direction of each air inlet and the air pressure of the air outlet.

[0097] S22, obtaining the three-dimensional digital model;

[0098] S23, inputting the three-dimensional digital model and the initial boundary conditions into simulation software, performing flow morphology simulation based on the CFD method, and generating a simulated distribution diagram of the air flow field of the chicken house to be inspected;

[0099] Input the three-dimensional digital model and the initial boundary conditions into simulation software, such as Airpark software, to perform flow morphology simulation based on the CFD method, and generate a simulation distribution diagram of the air flow field of the chicken house to be inspected, such as Figure 3 As shown;

[0100] At the same time Figure 4 As shown, the present application also discloses an air flow field simulation distribution diagram generated based on a three-dimensional digital model of another chicken house structure;

[0101] S3, dividing the three-dimensional digital model into a plurality of simulation modules, and obtaining ventilation boundary conditions of each simulation module according to the air flow field simulation distribution map;

[0102] S31, obtaining the three-dimensional digital model and the air flow field simulation distribution map;

[0103] Retrieving the three-dimensional digital model and the air flow field simulation distribution diagram obtained in step S23;

[0104] S32, obtaining an airflow distribution boundary line according to the air flow field simulation distribution map;

[0105] Selecting a common reference point, integrating the three-dimensional digital model with the air flow field simulation distribution map, and then identifying the air flow distribution boundary line in the air flow field simulation distribution map;

[0106] It should be pointed out that due to the large area of ​​the chicken house, several vents are generally set in the ventilation system of the chicken house, and each vent is equipped with a fan. In the actual ventilation process, the influence area of ​​each vent is limited, and the transition area between the influence areas of two adjacent vents is the airflow distribution boundary line.

[0107] S33. Divide the three-dimensional digital model into several simulation modules according to the airflow distribution boundary line.

[0108] It should be noted that the division of each simulation module should be as consistent as possible, that is, the area where the chicken cages are placed should be divided at equal distances to ensure that the factors contained therein, such as the size of the chicken cages and the number of chickens, are the same. For some simulation modules that cannot maintain consistency, the gap should be narrowed as much as possible, and the number of simulation modules should be increased to facilitate the subsequent simulation experiments.

[0109] By identifying the airflow distribution boundary lines, the airflow environment of the chicken house can be divided into several relatively independent areas. Due to the high consistency of factors such as environment and ventilation conditions, the internal airflow circulation is also highly similar. The above technical measures can simplify the calculation model, thereby reducing the difficulty of simulation and lowering the hardware requirements for computers and other equipment.

[0110] At the same time, using the airflow distribution boundary line as a natural dividing mark can ensure that a simulation module is mainly affected by one ventilation device, avoiding multiple ventilation devices affecting a simulation module at the same time, reducing the complexity of the airflow within the simulation module, which is conducive to improving the accuracy of the simulation and reducing the requirements for hardware equipment such as computers;

[0111] S34, obtaining a simulated distribution diagram of the air flow field;

[0112] S35, selecting any simulation module, and segmenting the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module;

[0113] S36, selecting a main airflow direction as the intake airflow direction according to the local air flow field simulation distribution map;

[0114] Taking the main airflow direction of the vent as the intake airflow direction and adjusting the flow direction of the airflow can further simplify the airflow model, thereby simplifying the subsequent physical simulation experiments.

[0115] S37, extracting the airflow velocity and airflow temperature in the intake airflow direction according to the local air flow field simulation distribution map, and using the airflow velocity and airflow temperature as ventilation boundary conditions;

[0116] S38. Repeat the steps of selecting any simulation module and dividing the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module to obtain the ventilation boundary conditions of all simulation modules.

[0117] Through the above steps, the inlet ventilation boundary conditions of all simulation modules can be obtained, thus providing basic parameters for subsequent steps.

[0118] S4. Constructing a proportional physical detection model of the simulation module, and obtaining a temperature simulation model based on the physical detection model; wherein the proportional physical detection model includes a plurality of live chickens;

[0119] S41, obtaining a simulation module;

[0120] It should be noted that if there are multiple simulation modules, each type of simulation module needs to be obtained;

[0121] S42: making a physical model based on the simulation module, placing the same number of live chickens on the physical model to obtain a proportional physical detection model;

[0122] The simulation module includes chicken cages, chickens, etc., and physical objects of the same size are prepared according to the size parameters of the corresponding model in the simulation module. At the same time, the same number of live chickens are placed in the chicken cages in the same number of layers to obtain a proportional physical detection model.

[0123] S43. Select a normally operating farm and place the scaled physical detection model in the farm;

[0124] It should be pointed out that a normally operating farm refers to a chicken house that is in normal operation, with the same or similar ventilation parameters and the same or similar stocking density. The above-mentioned similarity means that the deviation of the same parameters is within 5%. The above-mentioned deviation value can also be set as needed to control the variables in the experimental process and improve the test accuracy.

[0125] Place the full-scale physical testing model in the farm;

[0126] S44, performing a simulation experiment on the scaled physical detection model according to test conditions to obtain the ambient temperature of the scaled physical detection model under different test conditions, wherein the test conditions include a combination of multiple groups of different wind speeds and different airflow temperatures;

[0127] S441. Determine a test condition parameter set according to the ventilation boundary condition. The expression of the test condition parameter set is {(T1, V1), (T2, V2), ..., (T n 、V n )}, where n represents the number of test conditions;

[0128] Retrieve all ventilation boundary conditions obtained in step S3. If there are multiple simulation modules, the ventilation boundary conditions of the same type of simulation modules need to be grouped together according to the type of simulation modules to ensure the accuracy of the test;

[0129] According to the grouped ventilation boundary conditions, test conditions are formulated for the corresponding simulation modules, thereby obtaining a test condition parameter set, the expression of which is {(T1, V1), (T2, V2), ..., (T n 、V n )};

[0130] If there are multiple simulation modules, there are the same number of test condition parameter sets;

[0131] It should be pointed out that the test condition parameter set needs to cover all parameters in the ventilation boundary conditions, which can improve the detection accuracy while also improving the data coverage and calculation accuracy.

[0132] S442, setting the sampling frequency and sampling duration of the ambient temperature;

[0133] By controlling the sampling frequency and sampling time, the number of temperature parameters obtained and the sampling time detection can be controlled.

[0134] S443, obtain test conditions (T i 、V i ), input the test conditions (T i 、V i ), where i represents the number of the test condition;

[0135] From the test condition parameter set {(T1, V1), (T2, V2), ..., (T n 、V n )} to call any test condition (T i 、V i ), where i represents the number of the test condition;

[0136] According to the test conditions, the input of the test conditions (T i 、V i ) of airflow;

[0137] S444. Obtain several ambient temperature detection parameters T i-1 '、T i-2 ', ..., T i-m ', calculate the ambient temperature according to each of the ambient temperature detection parameters, the expression of the ambient temperature is: , where m represents the number of ambient temperature detection parameters;

[0138] During the sampling time, the temperature detection module can obtain several ambient temperature detection parameters T i-1 '、T i-2 ', ..., T i-m', the average value of the above parameters is taken as the ambient temperature during the sampling period, and the expression of the ambient temperature is: , where m represents the number of ambient temperature detection parameters;

[0139] It should be pointed out that when testing the ambient temperature parameter T i-1 '、T i-2 ', ..., T i-m The processing of ' also includes a data screening step, which is as follows:

[0140] First, set the data screening value A, such as setting the data screening value A=5%;

[0141] Then, according to the ambient temperature detection parameter T i-1 '、T i-2 ', ..., T i-m 'Draw the ambient temperature distribution curve;

[0142] Select a section of the ambient temperature distribution curve with the smallest temperature fluctuation, calculate the average value of the ambient temperature involved in the section of the curve, and use the average value as the reference value B;

[0143] Eliminate the data that do not meet the judgment formula, and calculate the average value of the remaining data as the ambient temperature. The judgment formula is expressed as (1-A)B≤C≤(1+A)B;

[0144] The above processing can exclude some measurement values ​​at the early stage of the experiment when the ambient temperature changes dramatically, which is beneficial to improving the accuracy of the data and thus improving the accuracy of the simulation.

[0145] S445, repeatedly obtain test conditions (T i 、V i ), input the test conditions (T i 、V i ) of the airflow step, obtain all ambient temperatures T1', T2', ..., T n '.

[0146] S45. Generate an air temperature simulation model based on the test condition parameter set and the ambient temperature fitting.

[0147] S451, obtain the test condition parameter set {(T1, V1), (T2, V2), ..., (T n 、V n )} and ambient temperature T1', T2', ..., T n ';

[0148] S452: According to the corresponding relationship, the test condition parameter set {(T1, V1), (T2, V2), ..., (T n 、V n )} and the ambient temperature to obtain the fitting data set {(T1, V1, T1'), (T2, V2, T2'), ..., (T n 、V n 、T n ')};

[0149] S453: Construct a standard coordinate system, and obtain fitting points in the standard coordinate system according to the fitting data set;

[0150] A three-dimensional coordinate system is constructed as a standard coordinate system, where the X-axis of the standard coordinate system represents the air flow temperature T1, T2, ..., T n ; The Y axis represents the air flow rate V1, V2, ..., V n ; Z axis represents the ambient temperature T1', T2', ..., T n ';

[0151] Combined with the fitting data set {(T1, V1, T1'), (T2, V2, T2'), ..., (T n 、V n 、T n ')} Take the fitting points in the standard coordinate system.

[0152] S454: Combine the fitting points and generate a temperature simulation model through computer fitting.

[0153] After all the fitting points are marked, a corresponding three-dimensional surface graph is generated through computer fitting simulation. This three-dimensional surface graph is the temperature simulation model.

[0154] It should be noted that if there are multiple simulation modules of different types, the same number of temperature simulation models can be obtained by repeating the above steps;

[0155] S5. Adjust and optimize the breeding layout plan of the chicken house according to the temperature simulation model and the ventilation boundary conditions.

[0156] S51, obtaining the temperature simulation model and ventilation boundary conditions of each simulation module;

[0157] When obtaining the temperature simulation model and ventilation boundary adjustment, it is necessary to ensure that they correspond to the same type of simulation module to ensure matching between the data.

[0158] S52, respectively substituting the ventilation boundary conditions into the temperature simulation model to calculate the simulation temperature of each simulation module;

[0159] S53, adjusting and optimizing the breeding layout plan of the chicken house according to the simulated temperatures;

[0160] S531, obtaining an optimal temperature range for raising chickens, and constructing an upper reference plane and a lower reference plane according to the optimal temperature range;

[0161] Check the optimal temperature range for chickens based on their breed and age;

[0162] Construct a three-dimensional coordinate system, in which the X-axis represents the length coordinate of the chicken house, the Y-axis represents the width coordinate of the chicken house, and the Z-axis represents the temperature;

[0163] According to the optimal breeding temperature range, an upper determination reference plane and a lower determination reference plane based on the chicken house plan can be constructed in a three-dimensional coordinate system;

[0164] S532, constructing a temperature distribution surface graph according to each of the simulation temperatures;

[0165] At the same time, the plane coordinates of the point where the simulation module is located and the simulation temperature calculated in step S52 are combined to select a point in the three-dimensional coordinates described in step S531, and then a temperature distribution surface diagram is constructed by computer simulation fitting, such as Figure 6 As shown;

[0166] S533, embedding the upper determination reference plane, the lower determination reference plane, and the temperature distribution surface graph into the same coordinate system to identify a temperature anomaly area; wherein the temperature anomaly area is represented by the temperature distribution surface graph as an area above the upper determination reference plane and below the lower determination reference plane;

[0167] After the temperature distribution surface graph is constructed, it can be clearly determined which areas are above the upper determination reference plane, which areas are below the lower determination reference plane, and which areas are between the upper determination reference plane and the lower determination reference plane. The areas above the upper determination reference plane and below the lower determination reference plane are determined as temperature abnormality areas.

[0168] S534. Adjust the breeding layout plan, initial boundary conditions, and breeding density, and repeat the steps of constructing a three-dimensional digital model of the chicken house to be inspected based on the breeding layout plan of the chicken flock, wherein the three-dimensional model includes a proportional digital model of the chicken flock, until all temperature abnormalities are eliminated;

[0169] By adjusting the initial boundary conditions and repeating the above steps, several different temperature distribution surface maps can be obtained. If there is no temperature abnormality area in each of the temperature surface distribution maps, it can be determined that the breeding layout plan is qualified;

[0170] If abnormal temperature areas appear in some temperature surface distribution maps, the breeding layout plan is deemed unqualified and needs to be adjusted. Adjustments include but are not limited to adjusting the position of chicken cages in the chicken house, re-establishing initial boundary conditions based on the performance parameters of the ventilation equipment, and adjusting the chicken breeding density.

[0171] After adjustment, repeat the house inspection described in this application until all temperature anomalies are eliminated;

[0172] It should be pointed out that a certain floating ratio can be set in the optimal breeding temperature range to expand the distance above the upper judgment reference plane and between the lower judgment reference plane, and then include some temperature abnormality areas with smaller deviations into the normal temperature range, thereby improving inspection efficiency and avoiding detection errors caused by equipment reasons.

[0173] Compared with the existing technology, this application introduces a proportional model of the chicken flock during the construction of the 3D digital model of the chicken house to be inspected according to the type of chickens being raised, so that the 3D digital model is closer to the actual breeding status, which is conducive to improving the accuracy of the airflow simulation.

[0174] Secondly, during the detection process, this application obtained a temperature simulation model through actual simulation experiments conducted on a proportional physical detection model. Live chickens were introduced into the above simulation experiment, thereby reducing the influence of the uncontrollable variable of individual chicken factors in the calculation process of ambient temperature, and improving the accuracy of the simulation calculation as much as possible.

[0175] Finally, by changing the initial boundary conditions, this application can generate a variety of different airflow models, thereby obtaining the temperature distribution under different airflow conditions. By comparing multiple temperature distribution surfaces, staff can formulate ventilation adjustment technical solutions more scientifically.

[0176] At the same time, since chickens of different ages require different breeding temperatures, the above temperature distribution surface can be used to breed chickens of different ages in the same chicken house, thereby achieving scientific breeding and improving the utilization rate of the chicken house.

[0177] The research on the simulation inspection method of closed chicken houses in this application will be beneficial to further improve the environmental control technology of large-scale chicken production, optimize the design of chicken houses, improve the equipment level of large-scale chicken farming in my country, and improve the production level and economic benefits of large-scale chicken farming.

[0178] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A simulation inspection method for a closed chicken house, characterized in that: The following steps are involved: Construct a three-dimensional digital model of the chicken house to be inspected according to the breeding layout planning diagram of the chicken flock, wherein the three-dimensional digital model contains a proportional digital model of the chicken flock; The initial boundary conditions of the chicken house to be inspected are set according to the technical parameters of each ventilation device; wherein the initial boundary conditions include the wind speed and direction of each air inlet and the air pressure of the air outlet; Acquire the three-dimensional digital model; The three-dimensional digital model and the initial boundary conditions are input into the simulation software, and the flow form simulation is performed based on the CFD method to generate a simulated distribution diagram of the air flow field of the chicken house to be inspected; Obtaining the three-dimensional digital model and air flow field simulation distribution diagram; Acquire an airflow distribution boundary line according to the air flow field simulation distribution diagram; Dividing the three-dimensional digital model into a plurality of simulation modules according to the airflow distribution boundary line; Obtain a simulated distribution diagram of the air flow field; Select any simulation module, and segment the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module; Selecting a main airflow direction as an intake airflow direction according to the local air flow field simulation distribution diagram; Extracting the airflow velocity and airflow temperature in the direction of the intake airflow according to the local air flow field simulation distribution diagram, and using the airflow velocity and airflow temperature as ventilation boundary conditions; Repeat the steps of selecting any simulation module, segmenting the local air flow field simulation distribution map corresponding to the simulation module in the air flow field simulation distribution map according to the position of the simulation module, and obtaining the ventilation boundary conditions of all simulation modules, wherein the ventilation boundary conditions include air flow temperature, air flow velocity and air flow direction Constructing a proportional physical detection model of the simulation module; Get the simulation module; A physical model is made according to the simulation module, and the same number of live chickens are placed on the physical model to obtain a proportional physical detection model; Select a normally operating breeding farm and place the proportional physical detection model in the breeding farm; Performing a simulation experiment on the proportional physical detection model according to the test conditions to obtain the ambient temperature of the proportional physical detection model under different test conditions, wherein the test conditions include a combination of multiple groups of different wind speeds and different airflow temperatures; Generate a temperature simulation model according to the test conditions and ambient temperature fitting; The breeding layout planning diagram of the chicken house is adjusted and optimized according to the temperature simulation model and the ventilation boundary conditions.

2. A simulation inspection method for a closed chicken house according to claim 1, characterized in that: The method of constructing a three-dimensional digital model of the chicken house to be inspected according to the chicken farming layout planning diagram includes the following steps: Obtain the layout plan of the breeding equipment in the chicken house to be inspected; Obtain the building size parameters of the chicken house to be inspected; Obtaining a digital model of each breeding equipment, wherein the digital model is a proportional model of each breeding equipment; According to the type of chickens, the individual size parameters of the chickens are obtained and a chicken model is constructed, wherein the individual size parameters are the average size parameters of the chickens in the same age group; A three-dimensional model of the chicken house to be inspected is constructed according to the building size parameters, and each digital model and chicken model is implanted into the three-dimensional model according to the breeding layout planning diagram to obtain a three-dimensional digital model of the chicken house to be inspected.

3. A simulation inspection method for a closed chicken house according to claim 1, characterized in that: The simulation experiment is performed on the proportional physical detection model according to the test conditions to obtain the ambient temperature of the proportional physical detection model under different test conditions, including the following steps: Determine a test condition parameter set according to the ventilation boundary condition, wherein the expression of the test condition parameter set is {(T1, V1), (T2, V2), ..., (Tn, Vn)}, where n represents the number of test conditions, T represents airflow temperature, and V represents wind speed; Set the sampling frequency and duration of ambient temperature; Acquire test conditions (Ti, Vi), and input an airflow that meets the test conditions (Ti, Vi) into the proportional physical detection model, where i represents the number of the test condition; Obtain several ambient temperature detection parameters Ti-1', Ti-2', ..., Ti-m', and calculate the ambient temperature according to each of the ambient temperature detection parameters , the ambient temperature The expression is: , where m represents the number of ambient temperature detection parameters; Repeat the steps of obtaining the test conditions (Ti, Vi), inputting the airflow meeting the test conditions (Ti, Vi) into the proportional physical detection model, and obtaining all the ambient temperatures T1', T2', ..., Tn'.

4. A simulation inspection method for a closed chicken house according to claim 1, characterized in that: The step of generating a temperature simulation model according to the test conditions and the ambient temperature fitting comprises the following steps: Obtain a test condition parameter set {(T1, V1), (T2, V2), ..., (Tn, Vn)} and ambient temperatures T1', T2', ..., Tn'; According to the corresponding relationship, the test condition parameter set {(T1, V1), (T2, V2), ..., (Tn, Vn)} and the ambient temperature are grouped to obtain a fitting data set {(T1, V1, T1'), (T2, V2, T2'), ..., (Tn, Vn, Tn')}; Constructing a standard coordinate system, and taking fitting points in the standard coordinate system according to the fitting data set; Combined with the fitting points, a temperature simulation model is generated by computer fitting.

5. A simulation inspection method for a closed chicken house according to claim 4, characterized in that: The step of adjusting and optimizing the breeding layout plan of the chicken house according to the temperature simulation model and the ventilation boundary conditions comprises the following steps: Obtain the air temperature simulation model and ventilation boundary conditions of each simulation module; Substituting each of the ventilation boundary conditions into the air temperature simulation model to calculate the simulation temperature of each of the simulation modules; The breeding layout plan of the chicken house is adjusted and optimized according to the simulated temperatures.

6. A simulation inspection method for a closed chicken house according to claim 5, characterized in that: The method of adjusting and optimizing the breeding layout plan of the chicken house according to each of the simulated temperatures includes the following steps: Obtaining an optimal feeding temperature range for the chickens, and constructing an upper determination reference plane and a lower determination reference plane according to the optimal feeding temperature range; Constructing a temperature distribution surface diagram according to each of the simulation temperatures; The upper determination reference plane, the lower determination reference plane and the temperature distribution surface map are implanted into the same coordinate system to identify the temperature abnormality area; wherein the temperature abnormality area is represented by the area located above the upper determination reference plane and below the lower determination reference plane in the temperature distribution surface map; The breeding layout plan, initial boundary conditions and breeding density are adjusted, and the step of constructing a three-dimensional digital model of the chicken house to be inspected according to the breeding layout plan of the chicken flock is repeated, wherein the three-dimensional digital model includes a proportional digital model of the chicken flock, until all temperature abnormality areas are eliminated.

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