Prediction method of drug deposition density on pig surfaces of pig house disinfection sprayer

Abstract

The present invention relates to a method for predicting the deposition density of liquid medicine on the surface of pigs for a pig house disinfection sprayer, the method comprising: using SolidWorks software to build a model of a pig pen, a pig house and at least one pig; using the Geometry module of ANSYSWorkbench software, setting the pig pen part and the pig house part as an internal watershed and an external watershed respectively through the SpaceClaim or DesignModeler module; using the Mesh module to mesh the internal watershed and the external watershed, and encrypting the mesh; using the Fluent module for pre-processing and simulation calculation to solve, and obtain a spatial trajectory diagram of disinfection droplet particles, a speed and pressure cloud diagram; using the Fluent CFX‑Post module for data analysis and post-processing, and calculating the deposition density of liquid medicine on the surface of each pig according to the simulation results. Through the above scheme, the deposition density of liquid medicine on the surface of pigs during the spray disinfection process can be accurately predicted.

Description

Technical Field

[0001] The present invention relates to the technical field of livestock and poultry breeding epidemic prevention and disinfection, and in particular to a method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer. Background Art

[0002] With the large-scale and intensive development of China's pig farming industry, the density of pigs in a unit pig pen has increased, and various pig diseases such as African swine fever have brought immeasurable economic losses to the pig farming industry. During the breeding process, there are a large number of pathogens in the pig house environment and on the surface of the pigs' skin. Spray disinfection with pigs is a necessary part of daily disinfection of pig houses. It is an operation to spray a certain concentration of disinfectant on the entire internal environment of the pig house, including all pigs and items, to achieve the purpose of disinfection. The deposition density of disinfectant on the surface of pigs is an important indicator reflecting the disinfection effect. At present, automatic spray disinfection machines have gradually replaced traditional manual spray disinfection, but the random movement of pigs makes it difficult to measure the deposition density of disinfectant on their surface, and it is difficult to judge the disinfection effect. If the deposition density is too small, the regional sterilization effect is not ideal; if the deposition density is too large, it will affect the health of pigs, and it is easy to cause environmental pollution, which is not conducive to the ecological environment of pig houses. Summary of the invention

[0003] The purpose of the present invention is to provide a method for predicting the deposition density of drug solution on the pig surface of a pig house disinfection sprayer, so as to accurately predict the deposition density of drug solution on the pig surface during the spray disinfection process and effectively judge the disinfection effect.

[0004] In order to achieve the above object, the present invention provides a method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer, characterized in that the method comprises:

[0005] S1. Use the 3D modeling software SolidWorks to build a model of a pig pen, a pig house and at least one pig;

[0006] S2, using the Geometry module of ANSYS Workbench software, and dividing the pig pen and the pig house into an internal watershed and an external watershed respectively through the SpaceClaim or DesignModeler module;

[0007] S3, using the Mesh module of ANSYS Workbench to mesh the internal flow domain and the external flow domain, and encrypting the mesh of the internal flow domain;

[0008] S4. Use the Fluent module of ANSYS Workbench to perform simulation calculations and obtain the spatial trajectory diagram of the disinfection droplet particles, and the velocity and pressure cloud diagrams;

[0009] S5. The Fluent CFX-Post module of ANSYS Workbench was used for data analysis and post-processing, and the deposition density of the drug solution on the surface of each pig was calculated based on the simulation results.

[0010] Optionally, when establishing the model in step S1, the pig pen, the pig house and at least one pig are modeled in a specified proportion according to the actual working environment and accuracy requirements, wherein when modeling the pig, the head and back of the pig are sketched in multiple segments using spline curves.

[0011] Optionally, step S2 includes:

[0012] Adding the Fluent module in the ANSYS Workbench software to the project schematic diagram, and importing the saved model files established for the pig pen, the pig house and at least one pig into the project schematic diagram;

[0013] Use SpaceClaim or DesignModeler module to delete the model, apply Boolean operation to cut the entity part retained after the model is deleted, obtain the internal watershed and the external watershed, and name the watershed of the pig pen as zhulan and the watershed of the pig house as zhushe.

[0014] Optionally, step S3 includes:

[0015] In the Mesh module, the watershed of the pig house is named fluid1, and the geometry size adjustment is inserted, wherein the unit size is pre-set according to the actual modeling accuracy and requirements;

[0016] Select one side of the pig house as the inlet, rename it to inlet, and select the opposite side and rename it to outlet. Set the remaining basin faces to wall, hide the geometry represented by the pig house, and rename the pig pen basin with pigs to fluid2.

[0017] Select all faces, insert face resize, hide all faces to get the watershed representing the pigs;

[0018] In the geometric structure of the model, hide the pigpen watershed, select and hide all the faces of the zhushe model, obtain the intersection of the pig house watershed and the pigpen watershed, select all the faces to insert and adjust the face size, and perform mesh encryption.

[0019] Optionally, step S4 includes:

[0020] Add gravity to the transient calculation model of the Fluent module, select the RNG k-ε turbulence model and SIMPLE algorithm, create a DPM source, enter the nozzle model, nozzle position, and physical properties of the liquid, and save the DPM source;

[0021] Set the fluid2 flow area to grid movement and control the pig grid movement;

[0022] Add grid graphs, cloud graphs, and particle trajectory graphs to analyze simulation data and obtain spatial trajectory graphs, velocity, and pressure cloud graphs of disinfection droplet particles.

[0023] Through the above technical solution, the 3D modeling software SolidWorks software and the fluid dynamics software ANSYSWorkbench simulation platform are used to predict the amount of liquid deposition on the pig surface of the pig house disinfection sprayer based on CFD (Computational Fluid Dynamics). The prediction method of the present invention can set parameters according to the nozzle type, position and liquid type of the automatic spray disinfection machine, predict the liquid deposition density on the pig surface during the spray disinfection process, and effectively judge the disinfection effect. By developing a simulation environment synchronously with the actual disinfection spray working process, using a powerful computer system to evaluate and calculate the actual scenario, visual simulation of the actual working process and prediction of the deposition density of the disinfection liquid on the pig surface, the waste of disinfection liquid is reduced, the disinfection efficiency is improved, and the data information collection of the spray disinfection work has a significant impact on the efficiency of the precise prevention of pig diseases in the pig farming industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The flowchart of the method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer is shown as an example.

[0025] Figure 2 It is a framework diagram of a method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer.

[0026] Figure 3 The SolidWorks 3D model diagram of a single pig is an exemplary diagram of a method for predicting the deposition density of liquid medicine on the pig surface of a pig house disinfection sprayer.

[0027] Figure 4 It is a diagram of the watershed setting of pig pens and pig houses, which exemplifies a method for predicting the deposition density of liquid medicine on the pig surface of a pig house disinfection sprayer.

[0028] Figure 5 It is an exemplary illustration of the mesh division and encryption of a method for predicting the density of drug liquid deposition on the pig surface of a pig house disinfection sprayer and its cross-sectional view.

[0029] Figure 6 It is a spray concentration statistical distribution diagram showing the calculation results of a method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0031] Figure 1 is a flowchart of a method for predicting the deposition density of liquid medicine on the surface of pigs for a pig house disinfection sprayer, as shown in FIG. Figure 1 As shown, the method may include steps S1 to S5.

[0032] S1. Use the 3D modeling software SolidWorks to build a model of a pig pen, a pig house and at least one pig;

[0033] S2, using the Geometry module of ANSYS Workbench software, and dividing the pig pen and the pig house into an internal watershed and an external watershed respectively through the SpaceClaim or DesignModeler module;

[0034] S3, using the Mesh module of ANSYS Workbench to mesh the internal flow domain and the external flow domain, and encrypting the mesh of the internal flow domain;

[0035] S4. Use the Fluent module of ANSYS Workbench to perform simulation calculations and obtain the spatial trajectory diagram of the disinfection droplet particles, and the velocity and pressure cloud diagrams;

[0036] S5. The Fluent CFX-Post module of ANSYS Workbench was used for data analysis and post-processing, and the deposition density of the drug solution on the surface of each pig was calculated based on the simulation results.

[0037] Through the above technical solution, the 3D modeling software SolidWorks software and the fluid dynamics software ANSYSWorkbench simulation platform are used to predict the amount of liquid deposition on the pig surface of the pig house disinfection sprayer based on CFD (Computational Fluid Dynamics). The prediction method of the present invention can set parameters according to the nozzle type, position and liquid type of the automatic spray disinfection machine, predict the liquid deposition density on the pig surface during the spray disinfection process, and effectively judge the disinfection effect. By developing a simulation environment synchronously with the actual disinfection spray working process, using a powerful computer system to evaluate and calculate the actual scenario, visual simulation of the actual working process and prediction of the deposition density of the disinfection liquid on the pig surface, the waste of disinfection liquid is reduced, the disinfection efficiency is improved, and the data information collection of the spray disinfection work has a significant impact on the efficiency of the precise prevention of pig diseases in the pig farming industry.

[0038] Figure 2 This is a framework diagram of the method for predicting the deposition density of liquid medicine on the pig surface of a pig house disinfection sprayer, such as Figure 2 As shown in the figure, the method for predicting the deposition density of liquid medicine on the pig surface of the pig house disinfection sprayer mainly includes building a model with SolidWorks, building and setting the watershed with the Geometry module of ANSYS Workbench software, meshing with the Mesh module, simulation and calculation with the Fluent module, and data analysis and post-processing with the Fluent CFX-Post module.

[0039] Optionally, when establishing the model in step S1, the pig pen, the pig house and at least one pig are modeled in a specified proportion according to the actual working environment and accuracy requirements, wherein when modeling the pig, the head and back of the pig are sketched in multiple segments using spline curves.

[0040] Figure 3 This is a SolidWorks 3D model diagram of a single pig for an exemplary method of predicting the deposition density of liquid medicine on the pig surface of a pig house disinfection sprayer. When modeling a pig, when sketching the main parts, i.e., the head and back of the pig, the spline curve is used to draw multiple segments according to the actual sampling and statistical requirements, so that it is convenient to name different parts when drawing the grid and to use the data of the parts required for actual statistics during post-processing analysis and statistics. At the same time, the modeling of parts with less influence, such as eyes and ears, can be ignored. The established pig model is saved in step format.

[0041] Optionally, step S2 includes:

[0042] Adding the Fluent module in the ANSYS Workbench software to the project schematic diagram, and importing the saved model files established for the pig pen, the pig house and at least one pig into the project schematic diagram;

[0043] Use SpaceClaim or DesignModeler module to delete the model, apply Boolean operation to cut the entity part retained after the model is deleted, obtain the internal watershed and the external watershed, and name the watershed of the pig pen as zhulan and the watershed of the pig house as zhushe.

[0044] Figure 4 This is a diagram of the watershed setting of the pig pen and the pig house, which exemplifies the method for predicting the surface drug liquid deposition density of pigs used for the pig house disinfection sprayer. After opening the AnysyWorkbench software, add the Fluent module to the project schematic diagram, and import the saved step file into it. You can choose to use the SpaceClaim or DesignModeler module. The present invention introduces the use of the SpaceClaim module. After opening SpaceClaim, delete the model and only keep the entity part. Apply Boolean operations to cut the entity and only keep the required watershed part. The area represented by the pig pen is named zhulan, and the watershed represented by the pig house is named zhushe.

[0045] Optionally, step S3 includes:

[0046] In the Mesh module, the watershed of the pig house is named fluid1, and the geometry size adjustment is inserted, wherein the unit size is pre-set according to the actual modeling accuracy and requirements;

[0047] Select one side of the pig house as the inlet, rename it to inlet, and select the opposite side and rename it to outlet. Set the remaining basin faces to wall, hide the geometry represented by the pig house, and rename the pig pen basin with pigs to fluid2.

[0048] Select all faces, insert face resize, hide all faces to get the watershed representing the pigs;

[0049] In the geometric structure of the model, hide the pigpen watershed, select and hide all the faces of the zhushe model, obtain the intersection of the pig house watershed and the pigpen watershed, select all the faces to insert and adjust the face size, and perform mesh encryption.

[0050] Figure 5It is an exemplary illustration of the mesh division and encryption of the method for predicting the deposition density of liquid medicine on the pig surface of the pig house disinfection sprayer and its cross-sectional view. Open the Mesh module, create a named selection, and name the representative watershed of the pig house as fluid1. Insert the geometry size adjustment, and set the unit size according to the actual modeling accuracy and requirements. Select one side of the pig house as the entrance and rename it as inlet, select the opposite side and rename it as outlet, and set the faces of the remaining watersheds to wall. Hide the geometry representing the pig house, and rename the representative watershed of the pig pen with pigs as fluid2. Select all faces, insert the face size adjustment, and set the unit size according to the actual modeling accuracy and requirements. After hiding all faces, all watersheds representing pigs are displayed. Rename the divided faces as zhu1-wall, zhu2-wall, zhu3-wall······. In the "Geometry" of the "Model", hide the "Pigsty" basin, and hide all the faces of the zhushe model. At this time, the intersection of the pigsty basin and the pigsty basin is displayed. Select all faces to insert the face size adjustment and perform mesh encryption for better solution in simulation calculation. The unit size is set according to the actual modeling accuracy and requirements. Then adjust the size of other faces or bodies as needed. After generating the mesh, check the mesh quality, and finally update the mesh to successfully move the mesh into the Fluent component.

[0051] Optionally, step S4 includes:

[0052] Add gravity to the transient calculation model of the Fluent module, select the RNG k-ε turbulence model and SIMPLE algorithm, create a DPM source, enter the nozzle model, nozzle position, and physical properties of the liquid, and save the DPM source;

[0053] Set the fluid2 flow area to grid movement and control the pig grid movement;

[0054] Add grid graphs, cloud graphs, and particle trajectory graphs to analyze simulation data and obtain spatial trajectory graphs, velocity, and pressure cloud graphs of disinfection droplet particles.

[0055] Figure 6This is a spray concentration statistical distribution diagram of the calculation results of the method for predicting the deposition density of liquid medicine on the surface of pigs for a pig house disinfection sprayer. Open the Fluent module, select the transient calculation model, and add gravity. Select the RNGk-ε turbulence model and the SIMPLE algorithm. Open the DPM model, create a DPM source, fill in the nozzle model and position and the physical properties of the liquid medicine and other parameters, and save the created DPM source. Set fluid2 to mesh motion, set the corresponding parameters to control the mesh motion of the pigs, and you can also add UDF (regional motion function) to control the mesh motion. Set the "DPM model" in the boundary conditions of all walls to "trap". Initialize the calculation model, turn on the sampling function in the report, and turn on the statistical function of the spray data of the required part according to actual needs. Add graphic tools such as grid maps, cloud maps, particle trajectory maps, and animation playback of the simulation process to analyze the simulation data. The deposition density of the liquid medicine can be viewed in the drawing tool, and the generated dpm file can be opened with Excel to view data, such as the mass of liquid medicine particles, particle diameter, etc.

[0056] The method for predicting the deposition density of drug solution on the pig surface of the pig house disinfection sprayer realizes the visual simulation of the actual working process and the prediction of the deposition density of the disinfectant solution on the pig surface using the 3D modeling software SolidWorks and the fluid dynamics software ANSYS Workbench simulation platform, which reduces the waste of disinfectant solution and improves the disinfection efficiency. It has a significant impact on the data information collection of spray disinfection work and the efficiency of precise epidemic prevention of pig diseases in the pig farming industry.

[0057] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for predicting the deposition density of liquid medicine on the surface of pigs used in a pig house disinfection sprayer, characterized in that: The method comprises: S1. Use the 3D modeling software SolidWorks to build a model of a pig pen, a pig house and at least one pig; S2, using the Geometry module of ANSYS Workbench software, and dividing the pig pen and the pig house into an internal watershed and an external watershed respectively through the SpaceClaim or DesignModeler module; S3, using the Mesh module of ANSYS Workbench to mesh the internal flow domain and the external flow domain, and encrypting the mesh of the internal flow domain; S4. Use the Fluent module of ANSYS Workbench to perform pre-processing and simulation calculation to obtain the spatial trajectory diagram of the disinfection droplet particles, and the velocity and pressure cloud diagram; S5. Use the Fluent CFX-Post module of ANSYS Workbench to perform data analysis and post-processing, and calculate the deposition density of the drug solution on the surface of each pig based on the simulation results; Step S2 includes: Adding the Fluent module in the ANSYS Workbench software to the project schematic diagram, and importing the saved model files established for the pig pen, the pig house and at least one pig into the project schematic diagram; Using SpaceClaim or DesignModeler module, the model is deleted, and the entity part retained after the model is deleted is cut by Boolean operation to obtain the internal watershed and the external watershed, and the watershed of the pig pen is named zhulan, and the watershed of the pig house is named zhushe; Step S3 includes: In the Mesh module, the watershed of the pig house is named fluid1, and the geometry size adjustment is inserted, wherein the unit size is pre-set according to the actual modeling accuracy and requirements; Select one side of the pig house as the inlet, rename it to inlet, and select the opposite side and rename it to outlet. Set the remaining basin faces to wall, hide the geometry represented by the pig house, and rename the pig pen basin with pigs to fluid2. Select all faces, insert face resize, hide all faces to get the watershed representing the pigs; In the geometric structure of the model, hide the pig pen watershed, hide all the faces of the zhushe model, get the intersection of the pig house watershed and the pig pen watershed, select all the faces to insert and adjust the face size, and perform mesh encryption; Step S4 includes: Add gravity to the transient calculation model of the Fluent module, select the RNG k-ε turbulence model and SIMPLE algorithm, create a DPM source, enter the nozzle model, nozzle position, and physical properties of the liquid, and save the DPM source; Set the fluid2 flow area to grid movement and control the pig grid movement; Add grid graphs, cloud graphs, and particle trajectory graphs to analyze simulation data and obtain spatial trajectory graphs, velocity, and pressure cloud graphs of disinfection droplet particles.

2. The method according to claim 1, characterized in that When establishing the model in step S1, the pig pen, the pig house and at least one pig are modeled in a specified proportion according to the actual working environment and accuracy requirements. When modeling the pig, the head and back of the pig are sketched in multiple segments using spline curves.

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