A disinfection cabinet model integrated design method based on three-dimensional modeling

Abstract

The present invention relates to the field of model integration design technology, and in particular to a disinfection cabinet model integration design method based on three-dimensional modeling. The method comprises the following steps: obtaining disinfection cabinet geometric information data; performing geometric volume meshing on the disinfection cabinet geometric information data to generate a disinfection cabinet volume mesh model; performing disinfection cabinet volume mesh parameter extraction on the disinfection cabinet volume network model to obtain disinfection cabinet volume mesh parameter data; performing multi-scale functional module modeling on the disinfection cabinet according to the disinfection cabinet volume mesh parameter data to generate a multi-scale disinfection cabinet module; performing three-dimensional module integration based on the multi-scale disinfection cabinet module to generate a disinfection cabinet three-dimensional model. The present invention improves the accuracy and practicality of disinfection cabinet modeling by performing module splitting modeling on the disinfection cabinet model, and performing practicality efficiency evaluation and intelligent control strategy based on module design.

Description

Technical Field

[0001] The present invention relates to the technical field of model integration design, and in particular to a disinfection cabinet model integration design method based on three-dimensional modeling. Background Art

[0002] With the development of science and technology, disinfection cabinets have gradually become intelligent and multifunctional. At this stage, disinfection cabinets began to introduce digital control systems, and users can set different disinfection programs and parameters through panels or mobile phone applications. Disinfection cabinets have also added more functions, such as drying function and deodorization function, so that they can better protect tableware and kitchen supplies while disinfecting. With the development of artificial intelligence and machine learning technology, the design of disinfection cabinets has begun to adopt model integration design methods. This method uses big data analysis and simulation technology to better optimize the structure and performance of disinfection cabinets by establishing mathematical models and simulation platforms of disinfection cabinets. The model integration design method can take into account a variety of factors, such as disinfection effect, energy consumption, service life, etc., so as to design more efficient and reliable disinfection cabinet products. However, the current existing technology for disinfection cabinet design is often an overall design, which is difficult to flexibly respond to different needs. At the same time, the material properties and physical properties of the disinfection cabinet often lack sufficient experimental data support, resulting in more estimates and guesses during the design, resulting in low accuracy and practicality of disinfection cabinet modeling. Summary of the invention

[0003] Based on this, it is necessary to provide a disinfection cabinet model integrated design method based on three-dimensional modeling to solve at least one of the above technical problems.

[0004] To achieve the above object, a disinfection cabinet model integrated design method based on three-dimensional modeling is provided, the method comprising the following steps:

[0005] Step S1: Acquire the geometric information data of the disinfection cabinet; perform geometric volume meshing on the geometric information data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extract the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet;

[0006] Step S2: Modeling the multi-scale functional modules of the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module; integrating three-dimensional modules based on the multi-scale disinfection cabinet module to generate a three-dimensional model of the disinfection cabinet; performing material property simulation test on the three-dimensional model of the disinfection cabinet to generate physical property simulation test data of the disinfection cabinet;

[0007] Step S3: Perform model training on the three-dimensional model of the disinfection cabinet according to the simulated test data of the physical characteristics of the disinfection cabinet to generate a disinfection efficiency evaluation model; use the disinfection efficiency evaluation model to perform a comprehensive evaluation of the model integration performance of the three-dimensional model of the disinfection cabinet, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

[0008] The present invention realizes accurate expression of the shape and structure of the disinfection cabinet through geometric volume meshing and parameter extraction, thereby improving the accuracy of the design. By using multi-scale functional module modeling, the design of the disinfection cabinet is made more flexible and diverse, and modules with different functions can be customized according to needs. By simulating test data through material properties, a disinfection cabinet that is more in line with actual material properties is designed, thereby improving the stability and reliability of the product. A disinfection efficiency evaluation model is established to effectively evaluate the disinfection effect of the disinfection cabinet, making the design of the disinfection cabinet more scientific and reliable. By using the model integrated performance comprehensive evaluation, factors such as disinfection efficiency and material properties are fully considered, and a comprehensive performance evaluation report is generated to provide guidance and basis for the optimal design of the disinfection cabinet. Therefore, the present invention improves the accuracy and practicality of the disinfection cabinet model modeling by modular decomposition modeling of the disinfection cabinet model, and performs practical efficiency evaluation and intelligent control strategy based on the modular design.

[0009] The beneficial effect of the present invention is that by obtaining the geometric information data of the disinfection cabinet and converting it into a geometric volume mesh model, it is helpful to understand the shape and structure of the disinfection cabinet. By extracting the volume mesh parameter data of the disinfection cabinet, detailed information about the internal space, capacity and geometric characteristics of the disinfection cabinet can be obtained. This provides basic data for subsequent steps. According to the geometric characteristics and volume mesh parameters of the disinfection cabinet, multi-scale functional module modeling is performed. This method can ensure that the disinfection cabinet design has diverse functions while taking into account the space limitations and structural characteristics inside the disinfection cabinet. The integrated three-dimensional module can better understand the overall form of the disinfection cabinet and provide convenience for further testing and evaluation. By evaluating the material properties of the disinfection cabinet through simulated test data, the performance and behavior of the disinfection cabinet can be better understood. This simulated test data can be used to train a disinfection efficiency evaluation model to quantify the effectiveness of the disinfection cabinet. Using these models for comprehensive evaluation can help designers and engineers understand the performance of the disinfection cabinet under different conditions, and provide guidance for improvement and optimization. At the same time, it can help optimize the design of the disinfection cabinet, improve its performance and efficiency, so as to better meet the disinfection needs and ensure safe and reliable use. Therefore, the present invention improves the accuracy and practicality of the disinfection cabinet modeling by splitting the disinfection cabinet model into modules and performing practical efficiency evaluation and intelligent control strategy based on the module design. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram of the steps of a disinfection cabinet model integrated design method based on three-dimensional modeling;

[0011] Figure 2 for Figure 1 Detailed implementation steps of step S1 in FIG.

[0012] Figure 3for Figure 1 Detailed implementation steps of step S2 in the flowchart;

[0013] Figure 4 for Figure 1 Detailed implementation steps of step S3 in FIG.

[0014] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0015] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0016] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0017] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0018] To achieve this, please refer to Figures 1 to 4 , a disinfection cabinet model integrated design method based on three-dimensional modeling, the method comprising the following steps:

[0019] Step S1: Acquire the geometric information data of the disinfection cabinet; perform geometric volume meshing on the geometric information data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extract the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet;

[0020] Step S2: Modeling the multi-scale functional modules of the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module; integrating three-dimensional modules based on the multi-scale disinfection cabinet module to generate a three-dimensional model of the disinfection cabinet; performing material property simulation test on the three-dimensional model of the disinfection cabinet to generate physical property simulation test data of the disinfection cabinet;

[0021] Step S3: Perform model training on the three-dimensional model of the disinfection cabinet according to the simulated test data of the physical characteristics of the disinfection cabinet to generate a disinfection efficiency evaluation model; use the disinfection efficiency evaluation model to perform a comprehensive evaluation of the model integration performance of the three-dimensional model of the disinfection cabinet, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

[0022] The present invention realizes accurate expression of the shape and structure of the disinfection cabinet through geometric volume meshing and parameter extraction, thereby improving the accuracy of the design. By using multi-scale functional module modeling, the design of the disinfection cabinet is made more flexible and diverse, and modules with different functions can be customized according to needs. By simulating test data through material properties, a disinfection cabinet that is more in line with actual material properties is designed, thereby improving the stability and reliability of the product. A disinfection efficiency evaluation model is established to effectively evaluate the disinfection effect of the disinfection cabinet, making the design of the disinfection cabinet more scientific and reliable. By using the model integrated performance comprehensive evaluation, factors such as disinfection efficiency and material properties are fully considered, and a comprehensive performance evaluation report is generated to provide guidance and basis for the optimal design of the disinfection cabinet. Therefore, the present invention improves the accuracy and practicality of the disinfection cabinet model modeling by modular decomposition modeling of the disinfection cabinet model, and performs practical efficiency evaluation and intelligent control strategy based on the modular design.

[0023] The beneficial effect of the present invention is that by obtaining the geometric information data of the disinfection cabinet and converting it into a geometric volume mesh model, it is helpful to understand the shape and structure of the disinfection cabinet. By extracting the volume mesh parameter data of the disinfection cabinet, detailed information about the internal space, capacity and geometric characteristics of the disinfection cabinet can be obtained. This provides basic data for subsequent steps. According to the geometric characteristics and volume mesh parameters of the disinfection cabinet, multi-scale functional module modeling is performed. This method can ensure that the disinfection cabinet design has diverse functions while taking into account the space limitations and structural characteristics inside the disinfection cabinet. The integrated three-dimensional module can better understand the overall form of the disinfection cabinet and provide convenience for further testing and evaluation. By evaluating the material properties of the disinfection cabinet through simulated test data, the performance and behavior of the disinfection cabinet can be better understood. This simulated test data can be used to train a disinfection efficiency evaluation model to quantify the effectiveness of the disinfection cabinet. Using these models for comprehensive evaluation can help designers and engineers understand the performance of the disinfection cabinet under different conditions, and provide guidance for improvement and optimization. At the same time, it can help optimize the design of the disinfection cabinet, improve its performance and efficiency, so as to better meet the disinfection needs and ensure safe and reliable use. Therefore, the present invention improves the accuracy and practicality of the disinfection cabinet modeling by splitting the disinfection cabinet model into modules and performing practical efficiency evaluation and intelligent control strategy based on the module design.

[0024] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of a disinfection cabinet model integrated design method based on three-dimensional modeling of the present invention. In this example, the disinfection cabinet model integrated design method based on three-dimensional modeling includes the following steps:

[0025] Step S1: Acquire the geometric information data of the disinfection cabinet; perform geometric volume meshing on the geometric information data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extract the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet;

[0026] In an embodiment of the present invention, the geometric information of the disinfection cabinet, including dimensional data such as length, width, and height, is obtained by measuring or using tools such as CAD software. Computer-aided design (CAD) software or similar tools are used to convert the geometric information of the disinfection cabinet into a volume mesh model. This can be achieved by dividing the geometric shape into small pieces and calculating the volume of each small piece. The generated disinfection cabinet volume mesh model is analyzed to extract key parameters such as volume, surface area, etc. This can be done through analysis tools or custom scripts provided by CAD software. The extracted disinfection cabinet volume mesh parameters are saved as a data file for use in subsequent steps. These data can be used for modeling, simulation, and optimization of disinfection cabinet design.

[0027] Step S2: Modeling the multi-scale functional modules of the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module; integrating three-dimensional modules based on the multi-scale disinfection cabinet module to generate a three-dimensional model of the disinfection cabinet; performing material property simulation test on the three-dimensional model of the disinfection cabinet to generate physical property simulation test data of the disinfection cabinet;

[0028] In an embodiment of the present invention, a multi-scale functional module is designed and established according to the volume grid parameter data of the disinfection cabinet, including functional modules such as a disinfection chamber, a heating system, and a control panel. Each functional module can be refined according to the needs. For example, the disinfection chamber can include details such as a disinfection tray, a lamp, and a ventilation device. The designed multi-scale functional modules are integrated and assembled into a complete three-dimensional model of the disinfection cabinet. In the three-dimensional model, the connection and coordination between the functional modules are ensured to be good, and the overall function and structural integrity of the disinfection cabinet are ensured. Computer-aided engineering (CAE) software is used to perform material property simulation tests on the three-dimensional model of the disinfection cabinet. This includes simulation analysis of the thermal conductivity, thermal diffusion, mechanical strength and other properties of the materials used in the disinfection cabinet to evaluate the performance of the disinfection cabinet under different working conditions. According to the simulation test results, the physical property simulation test data of the disinfection cabinet is generated, including data such as temperature distribution, stress distribution, and deformation. These data can be used to evaluate the reliability, performance optimization, and adaptability of the disinfection cabinet design to different working conditions.

[0029] Step S3: Perform model training on the three-dimensional model of the disinfection cabinet according to the simulated test data of the physical characteristics of the disinfection cabinet to generate a disinfection efficiency evaluation model; use the disinfection efficiency evaluation model to perform a comprehensive evaluation of the model integration performance of the three-dimensional model of the disinfection cabinet, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

[0030] In an embodiment of the present invention, the disinfection efficiency evaluation model is trained by simulating test data using the physical properties of the disinfection cabinet. This may involve machine learning or deep learning technology, and a model is established based on the correlation between the simulated data and the disinfection effect. The model can be a regression model, a classification model, or other model suitable for the problem, which aims to predict the disinfection efficiency of the disinfection cabinet under different conditions. The three-dimensional model of the disinfection cabinet is evaluated using the trained disinfection efficiency evaluation model. The design parameters of the disinfection cabinet are input into the model to obtain the disinfection efficiency evaluation results. Comprehensively considering factors such as disinfection efficiency, energy consumption, and ease of operation, the performance of the disinfection cabinet is comprehensively evaluated. Based on the model evaluation results, a disinfection cabinet model integrated comprehensive performance evaluation report is generated. The report should include evaluation results in terms of disinfection efficiency, energy consumption, ease of operation, etc., as well as improvement suggestions for different aspects. The report should clearly and in detail describe the evaluation process and results, and provide guidance and reference for the design and optimization of the disinfection cabinet.

[0031] Preferably, step S1 comprises the following steps:

[0032] Step S11: using a three-dimensional scanning device to perform an all-round scan on the disinfection cabinet to obtain geometric information data of the disinfection cabinet;

[0033] Step S12: performing data preprocessing on the geometry information data of the disinfection cabinet to generate standard geometry information data of the disinfection cabinet, wherein the data preprocessing includes data denoising, data missing value filling and data standardization;

[0034] Step S13: performing surface reconstruction on the standard disinfection cabinet geometric information data to generate disinfection cabinet geometric reconstruction data; performing surface fitting on the disinfection cabinet geometric reconstruction data to generate a disinfection cabinet surface model;

[0035] Step S14: performing a topological structure analysis on the surface model of the disinfection cabinet to obtain a topological structure diagram of the disinfection cabinet; performing a geometric connection relationship analysis on the topological structure diagram of the disinfection cabinet to generate geometric connection relationship data of the disinfection cabinet;

[0036] Step S15: Volume meshing the surface model of the disinfection cabinet based on the geometric connection relationship data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extracting the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet.

[0037] The present invention can obtain accurate geometric information data of the disinfection cabinet by using a three-dimensional scanning instrument to perform an all-round scanning on the disinfection cabinet. Preprocessing these data, such as denoising, filling missing values ​​and standardization, is helpful to improve the stability and reliability of subsequent processing steps. Based on the preprocessed standard disinfection cabinet geometric information data, surface reconstruction and surface fitting are performed to generate an accurate disinfection cabinet surface model. Such a model more realistically reflects the appearance and shape of the disinfection cabinet. By performing a topological structure analysis on the disinfection cabinet surface model, a topological structure diagram of the disinfection cabinet can be obtained, and the connection relationship of the geometric body is further analyzed to generate the disinfection cabinet geometric connection relationship data. This helps to understand the organization and association of the internal structure of the disinfection cabinet. Based on the disinfection cabinet geometric connection relationship data, the disinfection cabinet surface model is volume meshed to generate a volume mesh model of the disinfection cabinet. Subsequently, the volume mesh parameter data of the disinfection cabinet is extracted from this model, and these data can be used for further analysis and application, such as simulating the operation process of the disinfection cabinet or optimizing the design of the disinfection cabinet.

[0038] As an example of the present invention, refer to Figure 2 As shown, in this example, step S1 includes:

[0039] Step S11: using a three-dimensional scanning device to perform an all-round scan on the disinfection cabinet to obtain geometric information data of the disinfection cabinet;

[0040] In an embodiment of the present invention, by ensuring that a high-quality three-dimensional scanning instrument is selected, it has sufficient accuracy and resolution. According to the size and characteristics of the disinfection cabinet, select an appropriate type of scanning instrument, such as a laser scanner or a structured light scanner. Set scanning parameters on the scanning instrument, including scanning resolution, sampling density, scanning speed, etc. The selection of these parameters should be able to balance the scanning speed and the required geometric information accuracy. Place the three-dimensional scanning instrument around the disinfection cabinet to ensure that the scanning instrument can cover the entire surface of the disinfection cabinet. It may be necessary to move the scanning instrument multiple times to obtain a full range of scans. Start the scanning instrument and start data collection. The scanning instrument will measure the geometric information of the surface of the disinfection cabinet through technologies such as laser or structured light to generate point cloud data. Ensure that the scanning instrument covers all surfaces of the disinfection cabinet, including front and back, up and down, left and right, and all angles. This ensures that complete disinfection cabinet geometric information is obtained. Integrate the scanning data at different angles and positions into a complete three-dimensional point cloud model. This may require the use of professional three-dimensional scanning software for data registration and fusion. Finally, extract geometric information data, such as vertex coordinates, normal vectors, etc. from the integrated point cloud model.

[0041] Step S12: performing data preprocessing on the geometry information data of the disinfection cabinet to generate standard geometry information data of the disinfection cabinet, wherein the data preprocessing includes data denoising, data missing value filling and data standardization;

[0042] In an embodiment of the present invention, the noise in the point cloud data is removed by using a filtering algorithm, and commonly used algorithms include Gaussian filtering, median filtering, and statistical filtering. The parameters of the filter are adjusted to balance the denoising effect and the data retention rate to ensure that the geometric characteristics of the data are maintained while the noise is removed. Detect and fill in the missing values ​​in the point cloud data, which may be caused by occlusion during the scanning process or the limitation of the scanning instrument. Methods for filling missing values ​​include interpolation based on neighboring points, average value filling, or predictive filling using a machine learning model. Standardize the geometric information data to ensure that the data has a uniform scale and range for subsequent processing and analysis. Common standardization methods include translating, rotating, and scaling the data to adapt it to a standard size or coordinate system. Based on the preprocessed data, generate standard disinfection cabinet geometric information data, including the size, shape, and structure of the disinfection cabinet. Three-dimensional modeling software or a custom algorithm can be used to process the data and generate standardized geometric information.

[0043] Step S13: performing surface reconstruction on the standard disinfection cabinet geometric information data to generate disinfection cabinet geometric reconstruction data; performing surface fitting on the disinfection cabinet geometric reconstruction data to generate a disinfection cabinet surface model;

[0044] In an embodiment of the present invention, surface reconstruction is performed by using point cloud data or voxel grid data, and commonly used methods include Marching Cubes algorithm, Poisson reconstruction algorithm and Moving Least Squares (MLS), etc. A suitable reconstruction algorithm is selected according to the characteristics of the data, and the parameters are adjusted to obtain accurate surface topology and geometry. Surface reconstruction can be achieved using open source 3D reconstruction software such as MeshLab, CloudCompare or a custom algorithm. The reconstructed surface data is subjected to surface fitting to generate a smooth surface model. Commonly used surface fitting methods include least squares fitting, Bezier surface fitting and B-spline surface fitting, etc. The parameters of the fitting algorithm are adjusted to balance the complexity and fitting accuracy of the model to ensure that the generated surface model has a high degree of match with the original data. Surface fitting can be achieved using professional 3D modeling software such as Rhino, SolidWorks or a custom algorithm.

[0045] Step S14: performing a topological structure analysis on the surface model of the disinfection cabinet to obtain a topological structure diagram of the disinfection cabinet; performing a geometric connection relationship analysis on the topological structure diagram of the disinfection cabinet to generate geometric connection relationship data of the disinfection cabinet;

[0046] In an embodiment of the present invention, by performing a topological structure analysis on the surface model of the disinfection cabinet, basic topological elements such as vertices, edges and faces in the surface model are determined. A topological analysis algorithm, such as Euler operation, graph theory algorithm or topological sorting algorithm, is used to identify topological features in the surface model, such as holes, boundaries and connection relationships. Based on the result of the topological structure analysis, a topological structure diagram of the disinfection cabinet is generated. The diagram reflects the topological relationship between various geometric elements in the surface model of the disinfection cabinet, such as adjacent relationship and connection relationship. The topological structure can be converted into a graphical representation, such as an adjacency matrix or an adjacency list, using a graph theory tool or a custom algorithm. On the basis of the topological structure diagram, a geometric body connection relationship analysis is performed to identify the connection mode and association law between different geometric bodies in the disinfection cabinet. Considering factors such as the relative position, boundary conditions and constraints of the geometric bodies, the connection relationship between the geometric bodies is determined, and the relevant geometric information is recorded. The result of the geometric body connection relationship analysis is converted into a data form to generate the geometric connection relationship data of the disinfection cabinet. These data include information such as the connected geometric bodies, connection methods, and connection point coordinates. The data can be saved in a structured text file or database format for subsequent processing and application.

[0047] Step S15: Volume meshing the surface model of the disinfection cabinet based on the geometric connection relationship data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extracting the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet.

[0048] In an embodiment of the present invention, the connection mode and association rules between the geometric bodies of the disinfection cabinet are determined according to the geometric connection relationship data of the disinfection cabinet. Based on these association relationships, the surface model of the disinfection cabinet is volume meshed, and the surface model is converted into a mesh model composed of volume units. Common meshing methods include triangle meshing, tetrahedron meshing, and hexahedron meshing. Parameters are extracted from the generated disinfection cabinet volume mesh model to obtain parameter data related to the disinfection cabinet volume mesh. The extracted parameters may include information such as volume, surface area, shape characteristics, and geometric structure. These parameters can be used to describe the geometric characteristics and volume space distribution of the disinfection cabinet.

[0049] Preferably, step S2 comprises the following steps:

[0050] Step S21: performing multi-scale functional module modeling on the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module, wherein the multi-scale disinfection cabinet module includes an external structure module, an internal structure module, a disinfection process module, an animation and interaction module, a light and shadow module, and a material and texture module;

[0051] Step S22: integrating the external structure module, the internal structure module, the disinfection process module, the animation and interaction module, the light and shadow module, and the material and texture module into three-dimensional modules to generate a three-dimensional model of the disinfection cabinet;

[0052] Step S23: Performing fluid dynamics simulation on the three-dimensional model of the disinfection cabinet to generate fluid dynamics simulation data of the disinfection cabinet, wherein the fluid dynamics simulation includes diffusion simulation and flow simulation; performing disinfection effect analysis on the fluid dynamics simulation data of the disinfection cabinet according to the diffusion simulation and the flow simulation to generate disinfection effect analysis data of the disinfection cabinet;

[0053] Step S24: Based on the disinfection effect analysis data of the disinfection cabinet, the disinfection cabinet module space is allocated to the three-dimensional model of the disinfection cabinet to generate a three-dimensional optimization model of the disinfection cabinet; the disinfection cabinet material property simulation test is performed on the three-dimensional optimization model of the disinfection cabinet to generate the disinfection cabinet physical property simulation test data.

[0054] The present invention can better understand the external and internal structures of the disinfection cabinet by modeling multi-scale functional modules according to the volume grid parameter data of the disinfection cabinet, and design a variety of functional modules including disinfection process, animation interaction, light and shadow, material texture, etc., to improve the functionality and operability of the disinfection cabinet. The three-dimensional integration of each functional module can more intuitively display the overall structure and function of the disinfection cabinet, which helps designers and users understand and evaluate the appearance and function of the disinfection cabinet. By performing fluid dynamics simulation on the three-dimensional model of the disinfection cabinet, the fluid diffusion and flow inside the disinfection cabinet can be analyzed, and then the disinfection effect can be evaluated, and disinfection effect analysis data can be generated to provide a basis for the design and optimization of the disinfection cabinet. Based on the disinfection effect analysis data, the spatial allocation optimization of the three-dimensional model of the disinfection cabinet can improve the disinfection effect and space utilization of the disinfection cabinet, and then optimize the design and performance of the disinfection cabinet. The material property simulation test of the three-dimensional optimization model of the disinfection cabinet can evaluate the physical properties of the disinfection cabinet, such as durability, thermal insulation, etc., to provide a reference for the material selection and design of the disinfection cabinet.

[0055] As an example of the present invention, refer to Figure 3 As shown, in this example, step S2 includes:

[0056] Step S21: performing multi-scale functional module modeling on the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module, wherein the multi-scale disinfection cabinet module includes an external structure module, an internal structure module, a disinfection process module, an animation and interaction module, a light and shadow module, and a material and texture module;

[0057] In an embodiment of the present invention, by obtaining the volume grid parameter data of the disinfection cabinet, these data may include information such as the size, shape, and structure of the disinfection cabinet for reference in subsequent modeling and design. According to the volume grid parameter data of the disinfection cabinet, the modeling of the multi-scale functional module is started. This involves decomposing the disinfection cabinet into different functional modules, including modules such as external structure, internal structure, disinfection process, animation and interaction, light and shadow, and materials and textures. Select appropriate modeling software for modeling. Commonly used modeling software includes but is not limited to AutoCAD, Blender, Maya, 3ds Max, etc., and the most suitable tool is selected according to project requirements and team familiarity. According to the external shape and structure of the disinfection cabinet, the modeling software is used to model the external structure module. This includes the appearance design of the disinfection cabinet, material selection, etc. According to the internal layout and functional requirements of the disinfection cabinet, the internal structure module is established. This may involve the design of the compartments of the disinfection cabinet, the space for placing items, the disinfection device, etc. Design and model the disinfection process module, including the working principle inside the disinfection cabinet, the location and method of the disinfection device, etc. Design and model the animation effects and interactive functions of the disinfection cabinet to enhance the user experience. This may include the opening and closing animation of the door, the interactive interface of the display screen, etc. Consider the effect of light on the appearance of the disinfection cabinet, design and model light and shadow effects, so that the disinfection cabinet has a realistic appearance under different lighting conditions. Select appropriate materials and textures, model the various parts of the disinfection cabinet, and add appropriate textures to improve the realism and texture of the appearance. Ensure the integration and coordination between the various functional modules so that they can be seamlessly combined into a complete disinfection cabinet model.

[0058] Step S22: integrating the external structure module, the internal structure module, the disinfection process module, the animation and interaction module, the light and shadow module, and the material and texture module into three-dimensional modules to generate a three-dimensional model of the disinfection cabinet;

[0059] In an embodiment of the present invention, each previously established module is exported from the modeling software into a standard three-dimensional model file format, such as OBJ, FBX, etc. Ensure that the exported modules conform to a unified coordinate system, and check whether the size and proportion between the models match to ensure that the subsequent integration process proceeds smoothly. Select a professional three-dimensional modeling software, such as Blender, 3ds Max, Maya, etc., and import the exported modules into the same project. In the three-dimensional modeling software, the modules are reasonably laid out and arranged according to the actual structure and layout of the disinfection cabinet. Ensure that the external structure module wraps the internal structure module, and the disinfection process module is correctly placed. According to the design of the disinfection cabinet, the modules are connected and combined. This may involve operations such as alignment, rotation, and scaling between modules to ensure that each part is seamlessly connected. If the disinfection cabinet has animation and interactive functions, such as opening and closing of the door, operation of the display screen, etc., corresponding animation effects and interactive functions can be added in this step. Adjust the lighting and shadow effects to make the appearance of the disinfection cabinet look more realistic. Parameters such as the position, intensity, and color of the light can be adjusted, as well as the reflection and refraction properties of the material. Add appropriate materials and textures to each part of the disinfection cabinet to improve the realism and texture of the appearance. You can use the material library provided by the software, or customize the materials and textures. Make detailed adjustments to the model, including repairing possible model defects, optimizing the topology of the model, adding subtle decorations, etc., to make the model more perfect. After completing the model integration, export the 3D model of the entire disinfection cabinet to common 3D file formats, such as OBJ, FBX, etc., for subsequent rendering, animation or other applications.

[0060] Step S23: Performing fluid dynamics simulation on the three-dimensional model of the disinfection cabinet to generate fluid dynamics simulation data of the disinfection cabinet, wherein the fluid dynamics simulation includes diffusion simulation and flow simulation; performing disinfection effect analysis on the fluid dynamics simulation data of the disinfection cabinet according to the diffusion simulation and the flow simulation to generate disinfection effect analysis data of the disinfection cabinet;

[0061] In the embodiment of the present invention, by selecting software suitable for fluid dynamics simulation, commonly used ones include ANSYS Fluent, COMSOL Multiphysics, OpenFOAM, etc. Ensure that the selected software can support diffusion simulation and flow simulation. Import the previously generated three-dimensional model of the disinfection cabinet into the fluid dynamics simulation software. Ensure that the geometry and size of the model are consistent with the actual disinfection cabinet to ensure the accuracy of the simulation results. Mesh the three-dimensional model of the disinfection cabinet and divide it into small volume units or grids. The density and fineness of the grid will affect the accuracy and calculation amount of the simulation results, and reasonable meshing needs to be performed according to the simulation requirements. Set the properties of the fluid, including density, viscosity, speed, etc. Set the fluid medium in the disinfection cabinet according to actual conditions, usually air or disinfectant. Set boundary conditions, including fluid inlet and outlet, friction coefficient of the wall, flow rate, temperature, etc. Set the corresponding boundary conditions according to the actual use and design characteristics of the disinfection cabinet. Perform diffusion simulation to simulate the diffusion process of disinfectants (such as ultraviolet rays, ozone, disinfectants, etc.) in the disinfection cabinet. According to the release rate and diffusion characteristics of the disinfectant, simulate its propagation and concentration distribution in the disinfection cabinet. Perform flow simulation to simulate the flow of fluids (such as air, water vapor, etc.) in the disinfection cabinet. According to the ventilation structure and airflow distribution in the disinfection cabinet, simulate the flow path and velocity distribution of air or other fluids in the disinfection cabinet. Analyze the disinfection effect of the disinfection cabinet based on the results of diffusion simulation and flow simulation. Evaluate the diffusion degree and concentration distribution of disinfectants in the disinfection cabinet, as well as the impact of fluid flow on the disinfection effect. Sort and analyze the disinfection effect analysis data to generate a disinfection effect report or analysis data for the disinfection cabinet. Visually display the simulation results, including concentration distribution diagrams, flow velocity diagrams, streamline diagrams, etc., to optimize and improve the disinfection cabinet design.

[0062] Step S24: Based on the disinfection effect analysis data of the disinfection cabinet, the disinfection cabinet module space is allocated to the three-dimensional model of the disinfection cabinet to generate a three-dimensional optimization model of the disinfection cabinet; the disinfection cabinet material property simulation test is performed on the three-dimensional optimization model of the disinfection cabinet to generate the disinfection cabinet physical property simulation test data.

[0063] In an embodiment of the present invention, the optimal module space allocation scheme is determined by using the disinfection effect analysis data of the disinfection cabinet. This may involve adjusting the components, accessories and layout inside the disinfection cabinet to maximize the disinfection effect. Consider the fluid dynamics inside the disinfection cabinet to ensure that the disinfectant can evenly cover all surfaces and can effectively disinfect. Using the determined module space allocation scheme, the three-dimensional model of the disinfection cabinet is optimized. This may involve using CAD software or similar tools to modify the existing disinfection cabinet design to reflect the new module space allocation. Ensure that the optimization model takes into account the disinfection effect analysis data so that the best disinfection practices are incorporated into the design. Use the three-dimensional optimization model of the disinfection cabinet to perform simulation tests on the material properties of the disinfection cabinet. This may include using computational fluid dynamics (CFD) software to simulate the diffusion and flow of disinfectants in the disinfection cabinet. Consider the material properties of the disinfection cabinet, such as adsorption, corrosion resistance and thermal conductivity, and ensure that the material selection does not affect the disinfection effect. According to the simulation test of the material properties of the disinfection cabinet, the physical properties simulation test data of the disinfection cabinet are generated. This may include data such as the adsorption rate of the disinfectant on the surfaces of different materials, the corrosion resistance of the material to the disinfectant, and the heat conduction of the material. Evaluate the performance of the disinfection cabinet through simulated test data and make necessary adjustments and optimizations.

[0064] Preferably, the external structure module modeling in step S2 includes the following steps:

[0065] Extracting the outer shell surface data of the disinfection cabinet volume grid parameter data to obtain the outer shell surface data of the disinfection cabinet, wherein the outer shell surface data of the disinfection cabinet includes the disinfection cabinet door parameter data, the disinfection cabinet side parameter data and the disinfection cabinet top parameter data; splicing the disinfection cabinet outer shell based on the disinfection cabinet door parameter data, the disinfection cabinet side parameter data and the disinfection cabinet top parameter data to obtain a disinfection cabinet outer shell splicing model;

[0066] The outer shell splicing model of the disinfection cabinet is adjusted in proportion to generate the outer shell proportion adjustment data of the disinfection cabinet; the outer shell splicing model of the disinfection cabinet is used to confirm the position of the disinfection cabinet control panel based on the outer shell proportion adjustment data of the disinfection cabinet to obtain the position data of the disinfection cabinet control panel;

[0067] The control panel size is adjusted according to the disinfection cabinet control panel data and the disinfection cabinet shell ratio adjustment data to generate a disinfection cabinet control panel geometry model; based on the disinfection cabinet control panel geometry model, an extremely dark light coverage simulation is performed on the disinfection cabinet shell splicing model to generate light coverage brightness data;

[0068] Perform three-dimensional plane confirmation on the position data of the disinfection cabinet control panel to obtain three-dimensional plane data of the disinfection cabinet control panel disinfection cabinet; perform lighting modeling on the light coverage brightness data based on the three-dimensional plane data of the disinfection cabinet control panel disinfection cabinet, and identify the lighting model and the indicator light model;

[0069] The brightness of the indicator light model and the identification light model is adjusted so that the brightness of the indicator light model is always greater than that of the identification light model, and the light models of the indicator light model and the identification light model are merged to generate a light model; the disinfection cabinet shell splicing model, the disinfection cabinet control panel geometric model and the light model are integrated into an external module to obtain an external structure module.

[0070] The present invention extracts the volume grid parameter data of the disinfection cabinet, determines the surface data of the shell, including the parameters of the door, side and top, and then splices to ensure the integrity and consistency of the shell. According to the shell proportion adjustment data, the shell is proportionally adjusted to adapt to specific needs or space limitations, so as to ensure the beauty and practicality of the disinfection cabinet in appearance. By confirming the control panel position data and adjusting the size according to the shell proportion adjustment data, the coordination and ease of use of the control panel and the shell are ensured. By simulating extremely dark light coverage, light coverage brightness data is generated to provide a basis for the brightness and visibility of the control panel and enhance the user's operating experience. The lights are modeled, including indicator lights and identification light models. The brightness of the indicator light model is ensured to be always greater than the identification light model through brightness adjustment, so as to improve the user's attention and understanding of the control panel. The shell splicing model, the control panel geometric model and the light model are integrated to ensure the integrity and functionality of the external structure module, and provide a solid foundation for the overall disinfection cabinet design.

[0071] In an embodiment of the present invention, the relevant parameter data of the door, side and top are extracted from the volume grid parameter data of the disinfection cabinet. The surface data of the disinfection cabinet shell is generated by using these parameter data. Based on the parameter data of the door, side and top, the shell is spliced ​​to obtain the overall disinfection cabinet shell splicing model. The splicing algorithm is implemented using a three-dimensional modeling tool or a programming language to ensure the accuracy and consistency of the shell model. The disinfection cabinet shell splicing model is proportionally adjusted, and the appearance proportion is ensured to be appropriate according to the shell proportional adjustment data. The position of the disinfection cabinet control panel is confirmed according to the disinfection cabinet shell proportional adjustment data to ensure the appropriate position of the control panel on the shell. According to the disinfection cabinet control panel data and the shell proportional adjustment data, the size of the control panel is adjusted to ensure that it adapts to the shell and has good operability. The shell splicing model is simulated with extremely dark light coverage using the disinfection cabinet control panel geometric model. Light coverage brightness data is generated for subsequent lighting modeling. Three-dimensional plane confirmation is performed according to the disinfection cabinet control panel position data. Light modeling is performed on the light coverage brightness data using the three-dimensional plane data, and the lighting model and the indicator light model are identified. The brightness of the indicator light model and the identification light model is adjusted to ensure that the brightness of the indicator light is always greater than the brightness of the identification light. The indicator light model and the identification light model are combined to generate the final light model. The disinfection cabinet shell splicing model, control panel geometry model and light model are integrated into external modules to ensure the coordination and consistency between the modules.

[0072] Preferably, the internal structure module modeling in step S2 includes the following steps:

[0073] The sealed space volume of the disinfection cabinet model is calculated according to the external structure module to obtain the spatial volume data of the disinfection cabinet; the shelf and warehouse information is extracted from the volume grid parameter data of the disinfection cabinet through the spatial volume data of the disinfection cabinet to generate the shelf structure data and warehouse size data;

[0074] Shelf and bin modeling is performed based on shelf structure data and bin size data to generate shelf models and bin models; spatial hierarchical cutting is performed on the spatial volume data of the disinfection cabinet according to the shelf model and bin model to obtain spatial hierarchical data; spatial gap adjustment is performed on the shelf model and bin model using the spatial hierarchical data to generate a shelf bin model;

[0075] Sensor modeling is performed on the spatial volume data of the disinfection cabinet according to the shelf location model to generate a sensor geometric model, wherein the sensor modeling includes a temperature sensor and a humidity sensor;

[0076] Performing a position bottom area analysis on the shelf position model to obtain the shelf position bottom area data; performing ultraviolet lamp simulation based on the shelf position bottom area data, and performing an irradiation bottom area analysis on the ultraviolet lamp to generate ultraviolet lamp irradiation bottom area data; adjusting the ultraviolet lamp position based on the shelf position bottom area data to make the ultraviolet lamp irradiation bottom area data greater than or equal to the shelf position bottom area data, thereby confirming the ultraviolet lamp position and generating ultraviolet lamp setting position data; performing ultraviolet lamp modeling based on the ultraviolet lamp setting position data to generate an ultraviolet lamp model;

[0077] The sensor data is simulated and collected for the sensor geometry model to obtain temperature simulation data and humidity simulation data. The disinfection cabinet vent is modeled according to the temperature simulation data to generate a disinfection cabinet vent model. The shelf location model, sensor geometry model, ultraviolet lamp model and disinfection cabinet vent model are integrated into internal modules to obtain an internal structure module.

[0078] The present invention can maximize the use of the internal space of the disinfection cabinet through sealed space volume calculation and shelf position modeling, ensuring that each shelf and position are reasonably used. The sensor modeling includes a temperature sensor and a humidity sensor, which can monitor the temperature and humidity inside the disinfection cabinet in real time to ensure the disinfection effect and the safety of item storage. By simulating and adjusting the position of the ultraviolet lamp, it is ensured that the ultraviolet irradiation covers the entire bottom area of ​​the shelf position, thereby maximizing the disinfection effect and preventing the generation of dead corners. According to the temperature simulation data, the vent modeling can maintain proper ventilation during the disinfection process, which helps to dissipate heat and maintain the stability of the internal environment of the disinfection cabinet. Through the integration of internal structure modules, the internal layout of the disinfection cabinet can be made more reasonable, the operation complexity can be reduced, and the operation efficiency can be improved. Comprehensively considering the sensor data and the ultraviolet lamp irradiation layout, as well as the vent design, the disinfection effect can be maximized, and the items inside the disinfection cabinet can be fully and thoroughly disinfected.

[0079] In the embodiment of the present invention, the volume of the sealed space is calculated according to the external structure model of the disinfection cabinet by using computing software or algorithm to ensure air tightness and closure during the disinfection process. Relevant information of the shelves and positions, including size, position, etc., is extracted from the spatial volume data of the disinfection cabinet for subsequent modeling. Based on the extracted data, the shelves and positions are modeled using modeling software or algorithm to generate corresponding 3D models. The spatial volume of the disinfection cabinet is cut according to the shelf and position model to form spatial hierarchical data, and the spatial gap is adjusted to ensure that the layout of each shelf and position is reasonable. Sensor modeling is performed on the spatial volume data of the disinfection cabinet according to the position model, including geometric models of temperature sensors and humidity sensors, so as to monitor environmental parameters. According to the position bottom area data and the ultraviolet lamp irradiation bottom area data, the position of the ultraviolet lamp is adjusted and modeled to ensure that the entire position bottom area is covered. According to the temperature simulation data, the vent model of the disinfection cabinet is modeled to ensure proper ventilation during the disinfection process. The shelf position model, the sensor geometric model, the ultraviolet lamp model and the vent model are integrated to form an internal structure module for the operation and control of the overall system.

[0080] Preferably, the disinfection process module modeling in step S2 includes the following steps:

[0081] Based on the internal structure module, the sensor geometry model is used to set the information collection time period, and the sensor information collection time period data is obtained; according to the sensor information collection time period data, the temperature sensor and the humidity sensor in the sensor geometry model are modeled as the sensor internal time controller, and a time controller model is generated;

[0082] Performing an environmental temperature test on the sensor geometry model according to the time controller model to obtain environmental temperature test data, wherein the environmental temperature test data includes maximum temperature data and minimum temperature data; adjusting the temperature sensing range of the temperature sensor according to the maximum temperature data and the minimum temperature data to obtain a temperature controller model;

[0083] Performing an environmental humidity test on the sensor geometry model according to the time controller model to obtain environmental humidity test data, wherein the environmental temperature test data includes maximum humidity data and minimum humidity data; adjusting the humidity sensing range of the humidity sensor according to the maximum humidity data and the minimum humidity data to obtain a humidity controller model;

[0084] The time controller model, the temperature controller model and the humidity controller model are integrated into the controller module to generate a disinfection process module.

[0085] The present invention determines the time period of sensor information collection according to the layout and characteristics of the internal structure module to ensure the accuracy and timeliness of data collection. Based on the sensor information collection time period data, the internal time controller is modeled for the temperature sensor and the humidity sensor to control the data collection frequency and timing of the sensor. The sensor geometry model is tested for environmental temperature using the time controller model to obtain the highest and lowest data of the environmental temperature, and then the temperature sensor is range-adjusted according to these data to generate a temperature controller model to ensure that the temperature sensor operates within a suitable range. Similar to the temperature controller modeling, the sensor geometry model is tested for environmental humidity using the time controller model to obtain the highest and lowest data of the environmental humidity, and then the humidity sensor is range-adjusted to generate a humidity controller model to ensure that the humidity sensor operates within a suitable range. The time controller model, the temperature controller model and the humidity controller model are integrated together to form a complete controller module, which is responsible for managing the work of the sensor and the data collection process.

[0086] In the embodiment of the present invention, the time period of sensor information acquisition is determined by the layout and characteristics of the internal structure module. This can be determined by the technical specifications and requirements of the sensor to ensure the accuracy and timeliness of data acquisition. According to the sensor information acquisition time period data, the time controller inside the sensor is modeled. This requires considering the working mode of the sensor, the acquisition frequency, and the coordination with other components to generate a reliable time controller model. The sensor geometry model is tested for ambient temperature using the time controller model to obtain the highest and lowest data of the ambient temperature. Then, the range of the temperature sensor is adjusted according to these data to ensure the accuracy and stability of the sensor under various environmental conditions. Similar to the temperature controller modeling, the sensor geometry model is tested for ambient humidity using the time controller model to obtain the highest and lowest data of the ambient humidity. Then, the humidity sensor is range-adjusted to ensure its reliability and accuracy under different humidity conditions. The time controller model, the temperature controller model, and the humidity controller model are integrated together to form a complete controller module. This can be achieved through software programming or hardware design to ensure coordination and effectiveness between the various controllers.

[0087] Preferably, the animation and interaction module modeling in step S2 includes the following steps:

[0088] The position of the disinfection cabinet door is tracked by the external structure module using the disinfection cabinet door parameter data to obtain the disinfection cabinet door position data; the connection axle is set for the disinfection cabinet door position data according to the disinfection cabinet volume grid parameter data to obtain the door rotation range data; the door motion trajectory is modeled for the external structure module based on the door rotation range data to generate the door control trajectory data, wherein the door control trajectory data includes the door opening motion trajectory data and the door closing motion trajectory data; the door animation is modeled based on the door opening motion trajectory data and the door closing motion trajectory data to generate the door control animation model;

[0089] The shelf position model is tracked by using the shelf structure data and the position size data to obtain the position data; the position data is analyzed for the object height limit according to the volume grid parameter data of the disinfection cabinet to obtain the object height limit data; the internal structure module is modeled for the object removal motion trajectory based on the object height limit data to generate the object motion trajectory data, wherein the object motion trajectory data includes the object placement motion trajectory data and the object removal motion trajectory data; the object animation modeling is performed based on the object placement motion trajectory data and the object removal motion trajectory data to generate the object animation model;

[0090] The user interaction functions of the external structure module and the internal structure module are determined through the gated animation model and the object animation model to generate the user interaction function requirement data; the interaction interface model is constructed according to the user interaction function requirement data to generate the interactive interface model; the gated animation model, the object animation model and the interactive interface model are integrated into the interactive animation module to generate the animation and interaction module.

[0091] The present invention uses door control trajectory data and door animation modeling, so that users can observe the opening and closing process of the disinfection cabinet door in real time, which helps users understand the operating status of the disinfection cabinet and ensures safe operation. Using object motion trajectory data and object animation modeling, users can observe the process of placing and removing items. Such animation display can improve users' understanding of the operation steps and make the operation more intuitive and convenient. By determining the user interaction function of the external and internal structure modules through the door control animation model and the object animation model, the friendliness and ease of use of the user interface can be ensured. The interactive function designed in this way can accurately meet the needs of users and improve user experience. Constructing an interactive interface model can enable users to interact with the disinfection cabinet more directly and effectively. Through clear interface design and operation guidance, users can easily control the operation of the disinfection cabinet and better understand its functions and characteristics. The door control animation model, the object animation model and the interactive interface model are integrated together to form a complete animation and interaction module, so that users can obtain comprehensive operation guidance and feedback when using the disinfection cabinet. This helps to improve user satisfaction and enhance the market competitiveness of products.

[0092] In an embodiment of the present invention, the position of the disinfection cabinet door is tracked by using the disinfection cabinet door parameter data, which may include information such as the size, shape, and installation method of the door. This can be achieved by obtaining the real-time position data of the door through devices such as sensors or cameras. According to the volume grid parameter data of the disinfection cabinet, the position and rotation range of the connecting wheel axle of the door are determined. This may involve mechanical engineering design and simulation to ensure that the door can be safely opened and closed within a predetermined range. Based on the rotation range data of the door, the motion trajectory of the door is modeled, including the motion trajectory of the door opening and closing. This can be achieved through mathematical modeling or simulation software. Using the motion trajectory data of the door opening and closing, the animation effect of the door is designed, which can be 2D or 3D animation. This requires an animation designer or engineer to use animation production software to complete. Using the shelf structure data and the bin size data, the structure of the shelf and the position of each bin are determined. Through sensors or other positioning technologies, the position of each bin on the shelf is tracked in real time. According to the volume grid parameter data and the bin position data of the disinfection cabinet, the object height limit analysis is performed to determine the maximum height limit of the placed object. This can ensure that the object will not collide with the door or other obstacles when placed. Based on the height limit data of the placed objects, the motion trajectory of the object removal is modeled, including the motion trajectory of the object placement and removal. This may require consideration of factors such as the weight, size, and smoothness of the movement of the object. Based on the motion trajectory data of the object placement and removal, the object animation effect is designed. This can be achieved through animation software to ensure smooth and natural animation. Based on the door control animation model and the object animation model, the functional requirements of the user's interaction with the disinfection cabinet are determined, such as controlling the door opening and closing through a touch screen or buttons, or selecting the location for object placement and removal. Based on the user interaction function requirement data, the interactive interface model is designed, including the layout of the interface, the location and function of the buttons, etc. This can be done through interface design software or prototyping tools. Integrate the door control animation model, object animation model, and interactive interface model to ensure the coordination and consistency of the animation effect and interactive function. This may require programming and software development technology to achieve. Deploy the integrated animation and interaction modules to the disinfection cabinet system for testing and optimization to ensure its normal operation and user experience.

[0093] Preferably, the light and shadow module modeling in step S2 includes the following steps:

[0094] The external light source position of the external structure module is confirmed by using the volume grid parameter data of the disinfection cabinet to obtain the external light source position data of the disinfection cabinet; the external light source property of the disinfection cabinet is set according to the external light source position data of the disinfection cabinet to obtain the external light source property data of the disinfection cabinet, wherein the external light source property data of the disinfection cabinet includes the external light source intensity data, the external light source color data and the external light source irradiation range data;

[0095] Based on the external light source intensity data, the external light source color data and the external light source irradiation range data, a lighting simulation is performed on the external structure module of the disinfection cabinet to generate external light source lighting simulation data; based on the external light source lighting simulation data, a lighting effect model is performed to generate a lighting effect model;

[0096] The shape of the disinfection cabinet is analyzed on the external structure module using the volume grid parameter data of the disinfection cabinet to generate the shape data of the disinfection cabinet; the light effect model is used to analyze the light and shadow of the disinfection cabinet shape data to generate the light and shadow data of the disinfection cabinet, wherein the light and shadow data of the disinfection cabinet includes shadow area data, shadow visibility data and shadow range data;

[0097] Shadow effect modeling is performed based on shadow area data, shadow visibility data and shadow range data to generate a shadow effect model; the illumination effect model and the shadow effect model are integrated into a light and shadow module to generate a light and shadow module.

[0098] The present invention helps to accurately simulate the lighting conditions in a real environment by confirming the position of the external light source around the disinfection cabinet, thereby better simulating the appearance of the disinfection cabinet under different lighting conditions. By setting the external light source properties, including parameters such as intensity, color and irradiation range, the lighting effect can be adjusted according to actual conditions to make it more realistic. Lighting simulation based on external light source data helps to generate the lighting effect of the external structure of the disinfection cabinet, so that it presents appropriate light and dark changes under different lighting conditions, and enhances the three-dimensional sense and realism. By modeling the lighting effect, the appearance characteristics of the external structure of the disinfection cabinet under different lighting conditions can be better understood, providing a basis for subsequent shadow analysis. Through the analysis of the shape data of the disinfection cabinet, the geometric features of different parts of the disinfection cabinet can be determined, including unevenness, curved surfaces, etc., so as to more accurately predict the location and shape of the lighting shadow. Lighting shadow analysis helps to simulate the lighting conditions in a real environment, so that the disinfection cabinet produces reasonable shadow effects under different lighting conditions, and increases the realism and three-dimensional sense of the scene. Shadow effect modeling based on data such as shadow area, visibility and range helps to generate realistic shadow effects, so that the external structure of the disinfection cabinet produces reasonable shadow changes under different lighting conditions. By integrating the lighting effect model with the shadow effect model, we can comprehensively consider the influence of lighting and shadow and generate the final lighting and shadow effect module, which provides comprehensive simulation and modeling for the visual presentation of the disinfection cabinet.

[0099] In the embodiment of the present invention, the volume grid parameter data of the disinfection cabinet is collected, including information such as size and shape. The position and attribute data of the external light source are obtained, including parameters such as the intensity, color and irradiation range of the light source. The position of the external light source is confirmed in the computer-aided design software using the volume grid parameter data of the disinfection cabinet. According to the confirmed position data, the attributes of the external light source are set, including parameters such as intensity, color and irradiation range. Computer graphics technology is used to simulate the illumination of the external structure of the disinfection cabinet based on the intensity, color and irradiation range data of the external light source. A lighting effect model is established, and the characteristics of reflection, refraction and scattering of light on the surface of the disinfection cabinet are considered to generate a realistic lighting effect. The shape of the disinfection cabinet is analyzed using the volume grid parameter data of the disinfection cabinet, including information such as surface concave-convex and curvature. Using technologies such as ray tracing, combined with the lighting effect model, the shape data of the disinfection cabinet is analyzed for illumination shadows, and parameters such as the position, area and visibility of the shadows are determined. Based on the shadow area, visibility and range data, a shadow effect model is established, considering factors such as the position, intensity and shape of the disinfection cabinet. The lighting effect model and the shadow effect model are integrated to generate the final light and shadow module, which is used to render the visual effects of the disinfection cabinet under different lighting conditions.

[0100] Preferably, the material and texture module modeling in step S2 includes the following steps:

[0101] Perform material demand analysis on the external structure module to obtain external structure material demand analysis data; add external materials to the external structure module according to the external structure material demand analysis data to generate external material data, wherein the external material data includes material classification data, material gloss data and material roughness data; perform external material modeling based on the material classification data, material gloss data and material roughness data to obtain an external material model;

[0102] Performing internal texture requirement analysis on the internal structure module to obtain internal structure texture requirement analysis data, adding internal texture to the internal structure module according to the internal structure texture requirement analysis data to generate internal texture data; performing internal texture modeling based on the internal texture data to obtain an internal texture model;

[0103] Integrate the external material model and the internal texture model into material and texture modules to generate material and texture modules.

[0104] The present invention can make the appearance of the disinfection cabinet more real and realistic by adding appropriate materials and textures to the external structure. The properties of the material such as gloss and roughness can simulate the optical properties of different material surfaces, increasing the sense of reality. The well-designed external material and internal texture can enhance the user's perceptual experience and make the product more attractive. The appropriate material and texture design can increase the beauty and touch of the product and improve user satisfaction. Through the careful design of materials and textures, the high quality and professionalism of the product can be demonstrated, which helps to establish the brand image. The specific material and texture selection can highlight the characteristics and style of the brand and enhance the brand recognition. In the market competition, the unique material and texture design can give the product a distinctive appearance feature, so that it stands out, enhances the product's position in the minds of consumers, and brings competitive advantages. In the modeling process of the material and texture module, the appearance can be flexibly adjusted and customized according to demand. This design flexibility allows the product to be personalized according to different market demands or user preferences, increasing the market adaptability of the product.

[0105] In the embodiment of the present invention, the design requirements of the external structure are analyzed, and the purpose, environment and user experience of the product are considered. The type, color, glossiness and roughness of the material of the external structure are determined. According to the requirements analysis, the external material is added to the structure module to obtain the external material data. These data include material classification (such as metal, plastic, etc.), glossiness data and roughness data. Using the obtained material classification, glossiness and roughness data, the external structure is material modeled using a corresponding modeling tool (for example, computer graphics software). The parameters are adjusted to achieve the desired appearance effect. The design requirements of the internal structure are analyzed, and the function and aesthetics of the internal structure are considered. The type, pattern and distribution of the internal texture are determined. According to the requirements of the internal structure, a texture is added to the internal structure module to generate internal texture data. This may include information such as the type, color and density of the texture. Using the obtained internal texture data, the internal structure is texture modeled using a corresponding modeling tool. Ensure that the internal texture is consistent with the overall design of the product. Integrate the external material model and the internal texture model into the structure of the product to ensure that they are visually and functionally consistent. This process may require fine-tuning to meet the requirements of the overall design. Perform visual and functional validation to ensure that material and texture modules perform as expected. Fine-tune and adjust as needed to achieve final design goals.

[0106] Preferably, step S3 comprises the following steps:

[0107] Step S31: designing a remote monitoring interface for the three-dimensional model of the disinfection cabinet according to the physical property simulation test data of the disinfection cabinet, and generating remote monitoring interface data; performing sensor data collection on the three-dimensional model of the disinfection cabinet according to the remote monitoring interface data, and obtaining real-time sensor collection data, wherein the real-time sensor collection data includes real-time temperature data, real-time humidity data, and real-time ultraviolet irradiation data;

[0108] Step S32: divide the real-time temperature data, real-time humidity data and real-time ultraviolet irradiation data into data sets to generate a model training set and a model test set; perform model training on the model training set using a support vector machine algorithm to generate a disinfection efficiency training model; perform model testing on the disinfection efficiency training model using a model test set to generate a disinfection efficiency evaluation model;

[0109] Step S33: importing the real-time data collected by the sensor into the disinfection efficiency evaluation model to evaluate the disinfection efficiency and generate disinfection efficiency evaluation data; performing intelligent control of the disinfection cabinet on the three-dimensional model of the disinfection cabinet according to the disinfection efficiency evaluation data, thereby generating an intelligent control strategy for the disinfection cabinet;

[0110] Among them, the intelligent control steps of the disinfection cabinet are specifically as follows:

[0111] The disinfection efficiency evaluation data is compared with a preset standard disinfection threshold value. When the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold value, the light model in the external structure module is used to flash the first brightness, and the use of the ultraviolet lamp is suspended based on the internal structure module;

[0112] When the disinfection efficiency evaluation data is less than the preset standard disinfection threshold, the second brightness flashes based on the light model in the external structure module, and the disinfection cabinet door is locked based on the external structure module and the animation and interaction module until the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold, and the disinfection cabinet door is unlocked accordingly;

[0113] Step S34: performing energy consumption analysis on the three-dimensional model of the disinfection cabinet according to the intelligent control strategy of the disinfection cabinet to generate energy consumption analysis data of the disinfection cabinet; performing modeling cost evaluation on the three-dimensional model of the disinfection cabinet according to the energy consumption analysis data of the disinfection cabinet to generate modeling cost evaluation data of the disinfection cabinet;

[0114] Step S35: Perform a comprehensive model integration performance evaluation on the disinfection efficiency evaluation data, the disinfection cabinet energy consumption analysis data and the disinfection cabinet modeling cost evaluation data, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

[0115] The present invention performs simulation tests according to the physical characteristics of the disinfection cabinet, and uses the results to design a remote monitoring interface. This interface collects real-time data from sensors, including temperature, humidity and ultraviolet irradiation data. The real-time data is divided into a training set and a test set. The training set is trained using algorithms such as support vector machines to generate a disinfection efficiency training model. Then, the model is tested using a test set to generate a disinfection efficiency evaluation model. The data collected by the sensor in real time is imported into the disinfection efficiency evaluation model to evaluate the disinfection efficiency. According to the evaluation results, an intelligent control strategy for the disinfection cabinet is formulated, including controlling the light and ultraviolet lamp according to a preset disinfection threshold. Intelligent control is achieved according to the disinfection efficiency evaluation data. If the evaluation data meets the threshold requirement, the first brightness flash is executed and the use of the ultraviolet lamp is suspended. If the threshold requirement is not met, the second brightness flash is executed and the disinfection cabinet door is locked until the evaluation data meets the threshold. The disinfection cabinet energy consumption analysis is performed according to the intelligent control strategy, and the modeling cost is evaluated. This step helps to evaluate the operating cost and design cost of the disinfection cabinet. The disinfection efficiency evaluation data, energy consumption analysis data and modeling cost evaluation data are comprehensively evaluated to generate a disinfection cabinet model integrated comprehensive performance evaluation report. This report provides a comprehensive evaluation and feedback on the overall performance of the disinfection cabinet.

[0116] As an example of the present invention, refer to Figure 4 As shown, in this example, step S3 includes:

[0117] Step S31: designing a remote monitoring interface for the three-dimensional model of the disinfection cabinet according to the physical property simulation test data of the disinfection cabinet, and generating remote monitoring interface data; performing sensor data collection on the three-dimensional model of the disinfection cabinet according to the remote monitoring interface data, and obtaining real-time sensor collection data, wherein the real-time sensor collection data includes real-time temperature data, real-time humidity data, and real-time ultraviolet irradiation data;

[0118] In the embodiment of the present invention, simulation tests are performed using the physical properties of the disinfection cabinet, which may involve the disinfection effect under different temperature, humidity and ultraviolet irradiation conditions. These tests can be completed by laboratory tests or computer simulations. An interface for remote monitoring of the disinfection cabinet is designed, which may involve the design of network communication protocols, data transmission formats, etc. The remote monitoring interface should be able to receive sensor data in real time and provide it to the remote monitoring system. According to the designed remote monitoring interface, a data format that conforms to the interface specification is generated. These data should include temperature, humidity and ultraviolet irradiation data collected by the sensor in real time. Sensors are installed in the disinfection cabinet for real-time collection of temperature, humidity and ultraviolet irradiation data. These sensors should be compatible with the remote monitoring interface and can transmit the collected data to the remote monitoring system. The data collected by the sensor in real time is transmitted to the remote monitoring system and processed in real time. This may involve operations such as data parsing, storage and display to ensure that the monitoring system can obtain and process sensor data in a timely manner.

[0119] Step S32: divide the real-time temperature data, real-time humidity data and real-time ultraviolet irradiation data into data sets to generate a model training set and a model test set; perform model training on the model training set using a support vector machine algorithm to generate a disinfection efficiency training model; perform model testing on the disinfection efficiency training model using a model test set to generate a disinfection efficiency evaluation model;

[0120] In an embodiment of the present invention, the real-time temperature data, the real-time humidity data and the real-time ultraviolet irradiation data are divided into a model training set and a model test set according to a certain ratio. It is generally recommended to use 70% of the data as a training set and 30% of the data as a test set. The model training set is trained using a support vector machine (SVM) algorithm. During the training process, the SVM will learn how to predict the disinfection efficiency based on the input real-time temperature, humidity and ultraviolet irradiation data. The training of the SVM model can be implemented through a common machine learning library (such as Scikit-learn). After completing the training of the support vector machine algorithm, the generated model is called a disinfection efficiency training model. The model can predict the disinfection efficiency based on the input sensor data. The disinfection efficiency training model is evaluated using a model test set. By inputting the data of the model into the test set, the performance of the model on the new data is evaluated to verify the generalization ability and accuracy of the model. After the model is tested, a disinfection efficiency evaluation model can be obtained. This model can be used to predict the disinfection efficiency of the disinfection cabinet under different temperature, humidity and ultraviolet irradiation conditions, thereby providing support for the intelligent control of the disinfection cabinet.

[0121] Step S33: importing the real-time data collected by the sensor into the disinfection efficiency evaluation model to evaluate the disinfection efficiency and generate disinfection efficiency evaluation data; performing intelligent control of the disinfection cabinet on the three-dimensional model of the disinfection cabinet according to the disinfection efficiency evaluation data, thereby generating an intelligent control strategy for the disinfection cabinet;

[0122] Among them, the intelligent control steps of the disinfection cabinet are specifically as follows:

[0123] The disinfection efficiency evaluation data is compared with a preset standard disinfection threshold value. When the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold value, the light model in the external structure module is used to flash the first brightness, and the use of the ultraviolet lamp is suspended based on the internal structure module;

[0124] When the disinfection efficiency evaluation data is less than the preset standard disinfection threshold, the second brightness flashes based on the light model in the external structure module, and the disinfection cabinet door is locked based on the external structure module and the animation and interaction module until the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold, and the disinfection cabinet door is unlocked accordingly;

[0125] In an embodiment of the present invention, the real-time collected temperature, humidity and ultraviolet irradiation data are input into the disinfection efficiency evaluation model. These data will be used to evaluate the disinfection efficiency and generate corresponding disinfection efficiency evaluation data. The sensor data is imported into the disinfection efficiency evaluation model, and the model will calculate the disinfection efficiency of the current disinfection cabinet based on the input data. These evaluation data can reflect the disinfection effect of the current disinfection cabinet and help determine whether the disinfection parameters need to be adjusted. According to the disinfection efficiency evaluation data, the three-dimensional model of the disinfection cabinet is intelligently controlled. This includes adjusting parameters such as temperature, humidity and ultraviolet irradiation to optimize the disinfection efficiency. The control strategy can be based on pre-set rules, or it can use machine learning algorithms to achieve intelligent control and make decisions based on real-time data and historical data. After analyzing the disinfection efficiency evaluation data and adjusting the intelligent control of the disinfection cabinet, the intelligent control strategy of the disinfection cabinet is generated. These strategies can be dynamic and adjusted according to different situations and needs to ensure that the disinfection cabinet can achieve the best disinfection effect under various conditions. Disinfection efficiency evaluation data are collected in real time, including indicators such as temperature, humidity, and ultraviolet irradiation time. These data are compared with pre-set standard disinfection thresholds. If the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold, the following steps are performed: through the light model in the external structure module, the light flashes at the first brightness, indicating that the disinfection efficiency is good. The internal structure module suspends the use of the ultraviolet lamp because the preset disinfection efficiency threshold has been reached or exceeded. If the disinfection efficiency evaluation data is less than the preset standard disinfection threshold, the following steps are performed: the light model in the external structure module flashes at the second brightness, indicating that the disinfection efficiency is insufficient. The animation and interaction module locks the disinfection cabinet door to prevent the cabinet door from being opened before the standard disinfection efficiency is reached to avoid cross infection. The disinfection efficiency evaluation data is continuously monitored, and the control strategy is adjusted according to the real-time data to ensure the efficiency and safety of the disinfection cabinet. When the disinfection efficiency evaluation data reaches or exceeds the preset standard disinfection threshold again, the animation and interaction module unlocks the disinfection cabinet door control, allowing the user to open the cabinet door to take out items.

[0126] Step S34: performing energy consumption analysis on the three-dimensional model of the disinfection cabinet according to the intelligent control strategy of the disinfection cabinet to generate energy consumption analysis data of the disinfection cabinet; performing modeling cost evaluation on the three-dimensional model of the disinfection cabinet according to the energy consumption analysis data of the disinfection cabinet to generate modeling cost evaluation data of the disinfection cabinet;

[0127] In the embodiment of the present invention, energy consumption analysis is performed by using a three-dimensional model of the disinfection cabinet, and the energy consumption of each component in the disinfection process is considered, such as ultraviolet lamps, fans, heating elements, etc. Through simulation or actual testing, the energy consumption data of each component in different working states are collected, including energy consumption in standby, running and dormant states. Combined with the intelligent control strategy of the disinfection cabinet, the energy consumption of the disinfection cabinet under different conditions is analyzed, such as the change in energy consumption under different disinfection times, frequencies and loads. Based on the three-dimensional model of the disinfection cabinet and the energy consumption analysis data, modeling cost evaluation is performed. Factors such as material cost, manufacturing process cost, and assembly cost of the disinfection cabinet are considered. The impact of energy consumption on cost, such as energy cost and electronic component cost, are considered. The cost evaluation model is used to estimate the overall construction cost of the disinfection cabinet, while taking into account the impact of factors such as production scale and supply chain cost. The energy consumption analysis data and the modeling cost evaluation data are integrated to generate the disinfection cabinet energy consumption analysis data and modeling cost evaluation data. The data should clearly record the energy consumption of the disinfection cabinet under different conditions and the construction cost estimation results for decision-making reference and further optimization.

[0128] Step S35: Perform a comprehensive model integration performance evaluation on the disinfection efficiency evaluation data, the disinfection cabinet energy consumption analysis data and the disinfection cabinet modeling cost evaluation data, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

[0129] In the embodiment of the present invention, disinfection efficiency evaluation data, disinfection cabinet energy consumption analysis data and modeling cost evaluation data are collected. Ensure the consistency of the data, clean and process it, fill in the missing values, and ensure the accuracy and completeness of the data. Define a set of comprehensive performance evaluation indicators, including but not limited to disinfection efficiency, energy efficiency, cost-effectiveness, etc. According to project requirements, assign weights to each indicator to reflect its relative importance in the comprehensive performance. Define a set of comprehensive performance evaluation indicators, including but not limited to disinfection efficiency, energy efficiency, cost-effectiveness, etc. According to project requirements, assign weights to each indicator to reflect its relative importance in the comprehensive performance. Use a suitable model or algorithm to conduct a comprehensive analysis of data such as disinfection efficiency, energy consumption and modeling cost. A multi-dimensional comprehensive scoring method, such as weighted summation or other suitable mathematical models, can be used to integrate each indicator into a comprehensive performance score. Generate a detailed report using the results of the comprehensive performance evaluation, including the scores and weight distribution of each indicator. The report should clearly show the performance of the disinfection cabinet model in different aspects, as well as a comprehensive evaluation of the overall performance. Provide data visualization, such as charts and graphs, to more intuitively present the performance of the model. Provide conclusions on the performance evaluation results in the report, emphasizing the model's strengths and room for improvement. Based on the evaluation results, propose improvement suggestions or optimization plans to improve the overall performance of the disinfection cabinet.

[0130] The beneficial effect of the present invention is that by obtaining the geometric information data of the disinfection cabinet and converting it into a geometric volume mesh model, it is helpful to understand the shape and structure of the disinfection cabinet. By extracting the volume mesh parameter data of the disinfection cabinet, detailed information about the internal space, capacity and geometric characteristics of the disinfection cabinet can be obtained. This provides basic data for subsequent steps. According to the geometric characteristics and volume mesh parameters of the disinfection cabinet, multi-scale functional module modeling is performed. This method can ensure that the disinfection cabinet design has diverse functions while taking into account the space limitations and structural characteristics inside the disinfection cabinet. The integrated three-dimensional module can better understand the overall form of the disinfection cabinet and provide convenience for further testing and evaluation. By evaluating the material properties of the disinfection cabinet through simulated test data, the performance and behavior of the disinfection cabinet can be better understood. This simulated test data can be used to train a disinfection efficiency evaluation model to quantify the effectiveness of the disinfection cabinet. Using these models for comprehensive evaluation can help designers and engineers understand the performance of the disinfection cabinet under different conditions, and provide guidance for improvement and optimization. At the same time, it can help optimize the design of the disinfection cabinet, improve its performance and efficiency, so as to better meet the disinfection needs and ensure safe and reliable use. Therefore, the present invention improves the accuracy and practicality of the disinfection cabinet modeling by splitting the disinfection cabinet model into modules and performing practical efficiency evaluation and intelligent control strategy based on the module design.

[0131] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0132] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A disinfection cabinet model integrated design method based on three-dimensional modeling, characterized in that: The following steps are involved: Step S1: obtaining the geometric information data of the disinfection cabinet; performing geometric volume meshing on the geometric information data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extracting the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet; Step S1 includes the following steps: Step S11: using a three-dimensional scanning device to perform an all-round scan on the disinfection cabinet to obtain geometric information data of the disinfection cabinet; Step S12: performing data preprocessing on the geometry information data of the disinfection cabinet to generate standard geometry information data of the disinfection cabinet, wherein the data preprocessing includes data denoising, data missing value filling and data standardization; Step S13: performing surface reconstruction on the standard disinfection cabinet geometric information data to generate disinfection cabinet geometric reconstruction data; performing surface fitting on the disinfection cabinet geometric reconstruction data to generate a disinfection cabinet surface model; Step S14: performing a topological structure analysis on the surface model of the disinfection cabinet to obtain a topological structure diagram of the disinfection cabinet; performing a geometric connection relationship analysis on the topological structure diagram of the disinfection cabinet to generate geometric connection relationship data of the disinfection cabinet; Step S15: volume meshing the surface model of the disinfection cabinet based on the geometric connection relationship data of the disinfection cabinet to generate a volume mesh model of the disinfection cabinet; extracting the volume mesh parameters of the disinfection cabinet from the volume network model of the disinfection cabinet to obtain the volume mesh parameter data of the disinfection cabinet; Step S2: Modeling the multi-scale functional modules of the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module; integrating three-dimensional modules based on the multi-scale disinfection cabinet module to generate a three-dimensional model of the disinfection cabinet; performing material property simulation test on the three-dimensional model of the disinfection cabinet to generate physical property simulation test data of the disinfection cabinet; Step S2 includes the following steps: Step S21: performing multi-scale functional module modeling on the disinfection cabinet according to the volume grid parameter data of the disinfection cabinet to generate a multi-scale disinfection cabinet module, wherein the multi-scale disinfection cabinet module includes an external structure module, an internal structure module, a disinfection process module, an animation and interaction module, a light and shadow module, and a material and texture module; Step S22: integrating the external structure module, the internal structure module, the disinfection process module, the animation and interaction module, the light and shadow module, and the material and texture module into three-dimensional modules to generate a three-dimensional model of the disinfection cabinet; Step S23: Performing fluid dynamics simulation on the three-dimensional model of the disinfection cabinet to generate fluid dynamics simulation data of the disinfection cabinet, wherein the fluid dynamics simulation includes diffusion simulation and flow simulation; performing disinfection effect analysis on the fluid dynamics simulation data of the disinfection cabinet according to the diffusion simulation and the flow simulation to generate disinfection effect analysis data of the disinfection cabinet; Step S24: performing module space allocation on the three-dimensional model of the disinfection cabinet based on the disinfection effect analysis data of the disinfection cabinet to generate a three-dimensional optimization model of the disinfection cabinet; performing a simulation test on the material properties of the disinfection cabinet on the three-dimensional optimization model of the disinfection cabinet to generate simulation test data on the physical properties of the disinfection cabinet; Step S3: training the three-dimensional model of the disinfection cabinet according to the physical characteristics simulation test data of the disinfection cabinet to generate a disinfection efficiency evaluation model; using the disinfection efficiency evaluation model to conduct a comprehensive evaluation of the model integration performance of the three-dimensional model of the disinfection cabinet, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report; Step S3 includes the following steps: Step S31: designing a remote monitoring interface for the three-dimensional model of the disinfection cabinet according to the physical property simulation test data of the disinfection cabinet, and generating remote monitoring interface data; performing sensor data collection on the three-dimensional model of the disinfection cabinet according to the remote monitoring interface data, and obtaining real-time sensor collection data, wherein the real-time sensor collection data includes real-time temperature data, real-time humidity data, and real-time ultraviolet irradiation data; Step S32: divide the real-time temperature data, real-time humidity data and real-time ultraviolet irradiation data into data sets to generate a model training set and a model test set; perform model training on the model training set using a support vector machine algorithm to generate a disinfection efficiency training model; perform model testing on the disinfection efficiency training model using a model test set to generate a disinfection efficiency evaluation model; Step S33: importing the real-time data collected by the sensor into the disinfection efficiency evaluation model to evaluate the disinfection efficiency and generate disinfection efficiency evaluation data; performing intelligent control of the disinfection cabinet on the three-dimensional model of the disinfection cabinet according to the disinfection efficiency evaluation data, thereby generating an intelligent control strategy for the disinfection cabinet; Among them, the intelligent control steps of the disinfection cabinet are specifically as follows: The disinfection efficiency evaluation data is compared with a preset standard disinfection threshold value. When the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold value, the light model in the external structure module is used to flash the first brightness, and the use of the ultraviolet lamp is suspended based on the internal structure module; When the disinfection efficiency evaluation data is less than the preset standard disinfection threshold, the second brightness flashes based on the light model in the external structure module, and the disinfection cabinet door is locked based on the external structure module and the animation and interaction module until the disinfection efficiency evaluation data is greater than or equal to the preset standard disinfection threshold, and the disinfection cabinet door is unlocked accordingly; Step S34: performing energy consumption analysis on the three-dimensional model of the disinfection cabinet according to the intelligent control strategy of the disinfection cabinet to generate energy consumption analysis data of the disinfection cabinet; performing modeling cost evaluation on the three-dimensional model of the disinfection cabinet according to the energy consumption analysis data of the disinfection cabinet to generate modeling cost evaluation data of the disinfection cabinet; Step S35: Perform a comprehensive model integration performance evaluation on the disinfection efficiency evaluation data, the disinfection cabinet energy consumption analysis data and the disinfection cabinet modeling cost evaluation data, thereby generating a disinfection cabinet model integration comprehensive performance evaluation report.

2. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The external structure module modeling in step S2 includes the following steps: Extracting the outer shell surface data of the disinfection cabinet volume grid parameter data to obtain the outer shell surface data of the disinfection cabinet, wherein the outer shell surface data of the disinfection cabinet includes the disinfection cabinet door parameter data, the disinfection cabinet side parameter data and the disinfection cabinet top parameter data; splicing the disinfection cabinet outer shell based on the disinfection cabinet door parameter data, the disinfection cabinet side parameter data and the disinfection cabinet top parameter data to obtain a disinfection cabinet outer shell splicing model; The outer shell splicing model of the disinfection cabinet is adjusted in proportion to generate the outer shell proportion adjustment data of the disinfection cabinet; the outer shell splicing model of the disinfection cabinet is used to confirm the position of the disinfection cabinet control panel based on the outer shell proportion adjustment data of the disinfection cabinet to obtain the position data of the disinfection cabinet control panel; The control panel size is adjusted according to the disinfection cabinet control panel data and the disinfection cabinet shell ratio adjustment data to generate a disinfection cabinet control panel geometry model; based on the disinfection cabinet control panel geometry model, an extremely dark light coverage simulation is performed on the disinfection cabinet shell splicing model to generate light coverage brightness data; Perform three-dimensional plane confirmation on the position data of the disinfection cabinet control panel to obtain three-dimensional plane data of the disinfection cabinet control panel disinfection cabinet; perform lighting modeling on the light coverage brightness data based on the three-dimensional plane data of the disinfection cabinet control panel disinfection cabinet, and identify the lighting model and the indicator light model; The brightness of the indicator light model and the identification light model is adjusted so that the brightness of the indicator light model is always greater than that of the identification light model, and the light models of the indicator light model and the identification light model are merged to generate a light model; the disinfection cabinet shell splicing model, the disinfection cabinet control panel geometric model and the light model are integrated into an external module to obtain an external structure module.

3. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The internal structure module modeling in step S2 includes the following steps: The sealed space volume of the disinfection cabinet model is calculated according to the external structure module to obtain the spatial volume data of the disinfection cabinet; the shelf and warehouse information is extracted from the volume grid parameter data of the disinfection cabinet through the spatial volume data of the disinfection cabinet to generate the shelf structure data and warehouse size data; Shelf and bin modeling is performed based on shelf structure data and bin size data to generate shelf models and bin models; spatial hierarchical cutting is performed on the spatial volume data of the disinfection cabinet according to the shelf model and bin model to obtain spatial hierarchical data; spatial gap adjustment is performed on the shelf model and bin model using the spatial hierarchical data to generate a shelf bin model; Sensor modeling is performed on the spatial volume data of the disinfection cabinet according to the shelf location model to generate a sensor geometric model, wherein the sensor modeling includes a temperature sensor and a humidity sensor; Performing a position bottom area analysis on the shelf position model to obtain the shelf position bottom area data; performing ultraviolet lamp simulation based on the shelf position bottom area data, and performing an irradiation bottom area analysis on the ultraviolet lamp to generate ultraviolet lamp irradiation bottom area data; adjusting the ultraviolet lamp position based on the shelf position bottom area data to make the ultraviolet lamp irradiation bottom area data greater than or equal to the shelf position bottom area data, thereby confirming the ultraviolet lamp position and generating ultraviolet lamp setting position data; performing ultraviolet lamp modeling based on the ultraviolet lamp setting position data to generate an ultraviolet lamp model; The sensor data is simulated and collected for the sensor geometry model to obtain temperature simulation data and humidity simulation data. The disinfection cabinet vent is modeled according to the temperature simulation data to generate a disinfection cabinet vent model. The shelf location model, sensor geometry model, ultraviolet lamp model and disinfection cabinet vent model are integrated into internal modules to obtain an internal structure module.

4. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The disinfection process module modeling in step S2 includes the following steps: Based on the internal structure module, the sensor geometry model is used to set the information collection time period, and the sensor information collection time period data is obtained; according to the sensor information collection time period data, the temperature sensor and the humidity sensor in the sensor geometry model are modeled as the sensor internal time controller, and a time controller model is generated; Performing an environmental temperature test on the sensor geometry model according to the time controller model to obtain environmental temperature test data, wherein the environmental temperature test data includes maximum temperature data and minimum temperature data; adjusting the temperature sensing range of the temperature sensor according to the maximum temperature data and the minimum temperature data to obtain a temperature controller model; Performing an environmental humidity test on the sensor geometry model according to the time controller model to obtain environmental humidity test data, wherein the environmental temperature test data includes maximum humidity data and minimum humidity data; adjusting the humidity sensing range of the humidity sensor according to the maximum humidity data and the minimum humidity data to obtain a humidity controller model; The time controller model, the temperature controller model and the humidity controller model are integrated into the controller module to generate a disinfection process module.

5. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The animation and interaction module modeling in step S2 includes the following steps: The position of the disinfection cabinet door is tracked by the external structure module using the disinfection cabinet door parameter data to obtain the disinfection cabinet door position data; the connection axle is set for the disinfection cabinet door position data according to the disinfection cabinet volume grid parameter data to obtain the door rotation range data; the door motion trajectory is modeled for the external structure module based on the door rotation range data to generate the door control trajectory data, wherein the door control trajectory data includes the door opening motion trajectory data and the door closing motion trajectory data; the door animation is modeled based on the door opening motion trajectory data and the door closing motion trajectory data to generate the door control animation model; The shelf position model is tracked by using the shelf structure data and the position size data to obtain the position data; the position data is analyzed for the object height limit according to the volume grid parameter data of the disinfection cabinet to obtain the object height limit data; the internal structure module is modeled for the object removal motion trajectory based on the object height limit data to generate the object motion trajectory data, wherein the object motion trajectory data includes the object placement motion trajectory data and the object removal motion trajectory data; the object animation modeling is performed based on the object placement motion trajectory data and the object removal motion trajectory data to generate the object animation model; The user interaction functions of the external structure module and the internal structure module are determined through the gated animation model and the object animation model to generate the user interaction function requirement data; the interaction interface model is constructed according to the user interaction function requirement data to generate the interactive interface model; the gated animation model, the object animation model and the interactive interface model are integrated into the interactive animation module to generate the animation and interaction module.

6. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The light and shadow module modeling in step S2 includes the following steps: The external light source position of the external structure module is confirmed by using the volume grid parameter data of the disinfection cabinet to obtain the external light source position data of the disinfection cabinet; the external light source property of the disinfection cabinet is set according to the external light source position data of the disinfection cabinet to obtain the external light source property data of the disinfection cabinet, wherein the external light source property data of the disinfection cabinet includes the external light source intensity data, the external light source color data and the external light source irradiation range data; Based on the external light source intensity data, the external light source color data and the external light source irradiation range data, a lighting simulation is performed on the external structure module of the disinfection cabinet to generate external light source lighting simulation data; based on the external light source lighting simulation data, a lighting effect model is performed to generate a lighting effect model; The shape of the disinfection cabinet is analyzed on the external structure module using the volume grid parameter data of the disinfection cabinet to generate the shape data of the disinfection cabinet; the light effect model is used to analyze the light and shadow of the disinfection cabinet shape data to generate the light and shadow data of the disinfection cabinet, wherein the light and shadow data of the disinfection cabinet includes shadow area data, shadow visibility data and shadow range data; Shadow effect modeling is performed based on shadow area data, shadow visibility data and shadow range data to generate a shadow effect model; the illumination effect model and the shadow effect model are integrated into a light and shadow module to generate a light and shadow module.

7. The integrated design method of disinfection cabinet model based on three-dimensional modeling according to claim 1 is characterized in that: The material and texture module modeling in step S2 includes the following steps: Perform material demand analysis on the external structure module to obtain external structure material demand analysis data; add external materials to the external structure module according to the external structure material demand analysis data to generate external material data, wherein the external material data includes material classification data, material gloss data and material roughness data; perform external material modeling based on the material classification data, material gloss data and material roughness data to obtain an external material model; Performing internal texture requirement analysis on the internal structure module to obtain internal structure texture requirement analysis data, adding internal texture to the internal structure module according to the internal structure texture requirement analysis data to generate internal texture data; performing internal texture modeling based on the internal texture data to obtain an internal texture model; Integrate the external material model and the internal texture model into material and texture modules to generate material and texture modules.

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