Universal design method, device and server for industrial application of thermal insulation performance simulation

Abstract

The present invention provides a universal design method, device and server for industrial applications of thermal insulation performance simulation, which relates to the technical field of universal development of simulation applications, including: determining the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interactive information between the user end and the external flow field component and the Boolean operation component, and performing grid division processing and model segmentation processing on the effective fluid domain to determine the target effective fluid domain; by combining the nonlinear segmentation component and the thermal boundary configuration component, configuring corresponding thermal boundary conditions for each area of ​​the target effective fluid domain to determine the target simulation model; using a preset solver to perform simulation calculation processing on the target simulation model, and performing temperature field rendering processing on the output result to determine the target thermal insulation performance simulation result. The present invention can significantly improve the simulation efficiency of thermal insulation performance simulation and the accuracy of simulation results.

Description

Technical Field

[0001] The present invention relates to the technical field of universal development of simulation applications, and in particular to a universal design method, device and server for industrial application of thermal insulation performance simulation. Background Art

[0002] Industrial simulation technology is a key means to optimize production processes, improve product quality and reduce R&D costs. At present, relevant technologies have proposed that in the field of industrial simulation of thermal insulation performance, traditional methods mainly rely on engineers to manually configure thermal boundary conditions and segmentation strategies through professional software. This process is time-consuming and easily affected by subjective experience. In addition, since different insulation scenarios have unique geometric features and heat transfer characteristics, manually set parameters are difficult to reuse across scenarios. Especially in the low-code development mode, engineers still need to adjust key parameters through code or complex interfaces, which reduces the efficiency of low-code development. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a universal design method, device and server for industrial application of thermal insulation performance simulation, which can significantly improve the simulation efficiency of thermal insulation performance simulation and the accuracy of simulation results.

[0004] In the first aspect, an embodiment of the present invention provides a universal design method for industrial applications of thermal insulation performance simulation, the method comprising: determining the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user terminal and the external flow field component and the Boolean operation component respectively, and performing grid division processing and model segmentation processing on the effective fluid domain to determine the target effective fluid domain, wherein the effective fluid domain is the fluid part participating in the thermal insulation performance analysis in the model to be simulated; by combining the nonlinear segmentation component and the thermal boundary configuration component, corresponding thermal boundary conditions are configured for each area of ​​the target effective fluid domain to determine the target simulation model; using a preset solver to perform simulation calculation processing on the target simulation model, and performing temperature field rendering processing on the output result to determine the target thermal insulation performance simulation result.

[0005] In one embodiment, the steps of determining the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user end and the external flow field component and the Boolean operation component respectively include: determining the geometric shape, starting coordinates, ending coordinates and external flow field temperature of the external flow field according to the interaction information between the user end and the external flow field component to construct the external flow field of the model to be simulated; and determining the difference between the external flow field and the fluid part that does not participate in the thermal insulation performance analysis in the model to be simulated as the effective fluid domain through the Boolean operation component.

[0006] In one embodiment, the steps of performing meshing and model segmentation on the effective fluid domain to determine the target effective fluid domain include: performing meshing and model segmentation on the effective fluid domain, dividing the continuous effective fluid domain into various non-connected areas according to the physical connectivity of the effective fluid domain, and performing geometric imprinting on the divided effective fluid domain according to component information of the Boolean operation component used when determining the effective fluid domain to determine the target effective fluid domain.

[0007] In one embodiment, by combining a nonlinear segmentation component and a thermal boundary configuration component, the step of configuring corresponding thermal boundary conditions for each region of the target effective fluid domain includes: based on the nonlinear segmentation component and the volume screening model, performing region division processing on the target effective fluid domain, dividing the target effective fluid domain into an external air domain, an internal air domain, an internal liquid domain and a vacuum domain, and configuring corresponding thermal boundary conditions for the external air domain, the internal air domain, the internal liquid domain and the vacuum domain respectively through the thermal boundary configuration component.

[0008] In one embodiment, after the step of determining the target simulation model, it includes: determining the model topology of the target simulation model by performing model parsing processing on the target simulation model, and determining the adjacency relationship between the surfaces of the target simulation model based on the model topology structure; grouping the surface features of the target simulation model based on the adjacency relationship between the surfaces of the target simulation model, so that before the target simulation model is simulated, when the selection information of any surface is received, the remaining surfaces in the same group are automatically identified and confirmed.

[0009] In one embodiment, the step of grouping the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model includes: calculating the normal vector angle between adjacent surfaces whose adjacency relationship is that there is a shared edge, and if the normal vector angle is less than a preset angle threshold, determining that the continuity and smoothness between the adjacent surfaces meet the grouping requirements, and dividing the adjacent surfaces into the same group.

[0010] In one embodiment, the step of using a preset solver to perform simulation calculation processing on a target simulation model includes: performing solver parameter configuration processing on the preset solver according to the model type of the target simulation model, determining the step duration, total simulation duration and maximum number of steps during solver simulation, and using the preset solver to perform simulation calculation processing on the target simulation model based on the step duration, total simulation duration and maximum number of steps to determine the output result.

[0011] In the second aspect, an embodiment of the present invention also provides a universal design device for industrial applications of thermal insulation performance simulation, which includes: a fluid domain division module, which determines the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user end and the external flow field component and the Boolean operation component, and performs grid division processing and model segmentation processing on the effective fluid domain to determine the target effective fluid domain, wherein the effective fluid domain is the fluid part participating in the thermal insulation performance analysis in the model to be simulated; a thermal boundary condition configuration module, which configures corresponding thermal boundary conditions for each area of ​​the target effective fluid domain by combining the nonlinear segmentation component and the thermal boundary configuration component to determine the target simulation model; a simulation processing module, which uses a preset solver to perform simulation calculation processing on the target simulation model, and performs temperature field rendering processing on the output result to determine the target thermal insulation performance simulation result.

[0012] In a third aspect, an embodiment of the present invention further provides a server, comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any one of the methods provided in the first aspect.

[0014] The embodiments of the present invention bring the following beneficial effects:

[0015] Embodiments of the present invention provide a universal design method, device, and server for industrial applications of thermal insulation performance simulation. This method, based on interaction information between a user terminal and an external flow field component and a Boolean operation component, determines the external flow field of a model to be simulated, as well as the effective fluid domain within the external flow field. The effective fluid domain is then meshed and segmented to determine the target effective fluid domain. Subsequently, by combining a nonlinear segmentation component with a thermal boundary configuration component, corresponding thermal boundary conditions are configured for each region of the target effective fluid domain to determine the target simulation model. Finally, a preset solver is used to simulate the target simulation model, and the output results are subjected to temperature field rendering to determine the target thermal insulation performance simulation results. In this embodiment of the present invention, the thermal boundary configuration component automatically generates boundary conditions that meet the target characteristics, linking multi-physics field interaction logic in real time. Furthermore, the nonlinear segmentation component employs a dynamic threshold algorithm (integrating multi-dimensional features such as volume / surface area ratio and thermal conductivity gradient) and nonlinear segmentation technology to accurately identify key regions such as the insulation layer and fluid domain. Furthermore, inter-component collaboration improves region identification accuracy, enabling engineers to quickly build complex temperature field simulation processes through visual drag-and-drop, significantly lowering development barriers and enhancing cross-scenario adaptability.

[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic flow chart of a universal design method for thermal insulation performance simulation industrial applications provided by an embodiment of the present invention;

[0020] Figure 2 A schematic diagram of analyzing the heat preservation performance of a thermos cup provided by an embodiment of the present invention;

[0021] Figure 3 A schematic flow chart of a method for assigning boundary conditions provided in an embodiment of the present invention;

[0022] Figure 4 A schematic diagram of a specific process of a universal design method for thermal insulation performance simulation industrial application provided by an embodiment of the present invention;

[0023] Figure 5 A schematic diagram of a thermos cup model provided by an embodiment of the present invention;

[0024] Figure 6 A schematic structural diagram of a universal design device for industrial application of thermal insulation performance simulation provided by an embodiment of the present invention;

[0025] Figure 7 A schematic diagram of the structure of a server provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0027] At present, industrial simulation technology is a key means to optimize production processes, improve product quality and reduce R&D costs. However, with the increasing complexity and diversification of industrial scenarios, traditional simulation application development methods face many challenges, especially the model of quickly building simulation applications through low-code development. Since thermal insulation performance industrial simulation scenarios often involve complex fluid flows, dynamic heat transfer processes and multi-physical field coupling interactions, the existing general boundary condition configuration components have exposed obvious deficiencies in dealing with thermal insulation performance industrial scenario problems. Relevant technologies have proposed that in the field of thermal insulation performance industrial simulation, traditional methods mainly rely on engineers to manually configure thermal boundary conditions (for example, temperature gradients, heat flux density) and segmentation strategies (for example, fixed volume thresholds) through professional software. This process is time-consuming and easily affected by subjective judgment. In addition, since different insulation scenarios (for example, insulation performance analysis of thermos cups and pipeline insulation analysis) have unique geometric features (for example, porous structures and thin-walled areas) and heat transfer characteristics (for example, phase change heat transfer and radiation heat transfer), manually set parameters are difficult to reuse across scenarios. Especially in the low-code development mode, engineers still need to adjust key parameters (for example, turbulence model selection, thermal boundary configuration, and deletion of invalid components after segmentation) through code or complex interfaces, thereby reducing the efficiency of low-code development. Based on this, the present invention implements a universal design method, device, and server for industrial applications of thermal insulation performance simulation. It can automatically generate boundary conditions that meet the target characteristics through the thermal boundary configuration component, associate multi-physics field interaction logic in real time, and use a dynamic threshold algorithm (integrating multi-dimensional features such as volume / surface area ratio and thermal conductivity gradient) and nonlinear segmentation technology through the nonlinear segmentation component to accurately identify key areas such as insulation layers and fluid domains. In addition, it can also cooperate with other components to improve the accuracy of area identification, support engineers to quickly build complex insulation simulation processes through visual drag and drop, significantly lower the development threshold and enhance cross-scenario adaptability.

[0028] In order to effectively solve the problem of low-code development mode in the industrial simulation invention of thermal insulation performance in the digital R&D scenario of household daily necessities in industrial simulation application, this invention constructs a new associative component - nonlinear segmentation component. The core function of this component is to accurately identify key areas such as insulation layer and fluid domain. It is matched with thermal boundary configuration component and integrated into the low-code development platform of industrial simulation application in a modular way. It solves the problem of manual binding of physical model configuration and simulation deviation caused by material matching errors, thereby realizing efficient adaptation to the thermal insulation performance requirements of industrial simulation applications in the digital R&D scenario of household daily necessities. Figure 1 The flowchart of a universal design method for thermal insulation performance simulation industrial application is shown, and the method mainly includes the following steps S102 to S106:

[0029] Step S102, based on the interaction information between the user terminal and the external flow field component and the Boolean operation component, the external flow field of the model to be simulated and the effective fluid domain in the external flow field are determined, and the effective fluid domain is meshed and segmented to determine the target effective fluid domain, wherein the effective fluid domain is the fluid portion of the model to be simulated that participates in the thermal insulation performance analysis. In one embodiment, taking the thermal insulation performance of a thermos cup as an example, first, a general component can be used to import the component, identify and import the model to be simulated, and initialize the configuration. In the thermal insulation performance analysis of the thermos cup, it is necessary to establish an air flow area based on parameters such as the basic size of the thermos cup and the test method. In order to reduce the impact of external airflow on the thermal insulation performance analysis, the external flow field module needs to be referenced to ensure that the simulation results can accurately reflect the cooling conditions of the actual thermos cup in the environment.

[0030] In step S104, the nonlinear segmentation component and the thermal boundary configuration component are combined to configure corresponding thermal boundary conditions for each region of the target effective fluid domain, and the target simulation model is determined. In one embodiment, the nonlinear segmentation component and the thermal boundary configuration component can be associated to determine the process of the insulation layer and boundary information. The fluid domain portion generated by the nonlinear segmentation is identified by the thermal boundary configuration component. Then, the multiple fluid domain portions formed by the nonlinear segmentation are compared, and the effective fluid domain portion is identified based on the model size, so that the thermal boundary conditions are assigned to the effective fluid domain portion. This enables the user end of the industrial simulation application of household daily necessities to automatically assign an effective insulation layer to the boundary conditions selected by the user. Taking the analysis of the insulation performance of a thermos cup as an example, the cup lid, cup body, cup stopper, hot water and other regions are physically set, and the fixed regions such as the cup lid, cup body, and cup body are set with materials (density, specific heat, thermal conductivity). The hot water region also needs to have an initial temperature set, and the ambient temperature and pressure boundaries are set for all external surfaces (Block Bock Surface) of the external flow field.

[0031] Step S106: Use a preset solver to perform simulation calculation processing on the target simulation model, and perform temperature field rendering processing on the output result to determine the simulation result of the target thermal insulation performance. In one embodiment, the preset solver can be configured with solver parameters according to the model type of the target simulation model to determine the step duration, total simulation duration and maximum number of steps during the solver simulation. The preset solver is used to perform simulation calculation processing on the target simulation model based on the step duration, total simulation duration and maximum number of steps to determine the output result.

[0032] Traditional thermal insulation performance relies on manual operation, requiring manual grid division and area identification. This operation is inefficient and prone to errors. The insulation layer for thermal insulation performance analysis needs to be manually identified, invalid areas need to be manually deleted, and valid areas need to be retained. In addition, the fixed volume threshold of traditional thermal insulation performance analysis cannot adapt to models of different sizes. How to quickly, effectively and accurately identify the model insulation layer is the core difficulty in building thermal insulation performance analysis applications. The above-mentioned universal design method for thermal insulation performance simulation industrial applications provided by the embodiment of the present invention has a nonlinear segmentation component with the function of automatically identifying the insulation layer and fluid domain. It can flexibly identify the effective fluid domain according to the specific needs of digital research and development industrial applications of household daily necessities, thereby significantly improving the versatility and flexibility of the system. Fluid simulation application developers do not need to go into complex code writing, but can quickly build a simulation process that meets the needs of thermal insulation performance analysis through simple module configuration.

[0033] See also Figure 2 The schematic diagram of the heat preservation performance analysis of a thermos cup is shown. Taking the heat preservation performance analysis of the thermos cup as an example, the embodiment of the present invention also provides an implementation method for determining the fluid domain of the simulation model. For details, see (1) to (3) below:

[0034] (1) According to the interactive information between the user end and the external flow field component, the geometric shape, starting coordinates, ending coordinates and external flow field temperature of the external flow field are determined to construct the external flow field of the model to be simulated. The interactive information is the component selection information generated by the user end dragging the external flow field component. In one embodiment, the geometric shape can be selected as a cube, and the starting coordinates, ending coordinates and external flow field temperature can be set to successfully create an external flow field (Block). Its function is to simulate the actual environment of the thermos cup and ensure that the insulation effect of the thermos cup under different air flow conditions can be accurately analyzed. By setting the starting coordinates, ending coordinates and external flow field temperature of the cube, a specific spatial range and environmental conditions can be defined for subsequent simulation analysis. The recommended size of the cube external flow field is:

[0035]

[0036] in, is the size of the cube, L is the length of the cup, W is the width of the cup, and H is the height of the cup.

[0037] In other words, the above steps only establish the external flow field of a cube, which includes invisible physical property settings (the reason for this is that only the model is solid, and in this case, the environment simulation can only be air). The physical properties are generally divided into three categories: solid, liquid, and gas, in this case, air.

[0038] (2) Through the Boolean operation component, the difference between the external flow field and the fluid part that does not participate in the thermal insulation performance analysis in the model to be simulated is determined as the effective fluid domain. In one embodiment, a subtraction operation can be performed based on the component selection information of the Boolean operation component generated by dragging the Boolean operation component on the user side: Block-(cup body + cup cover + cup plug) = generated (effective) fluid domain (fluid), where the cup body, cup cover, and cup plug are the user-selected parts, and the generated effective fluid domain fluid is the name set by the user. When the external flow field name is Block, it ensures that the boundary is Block Block Surface. Here, Boolean operation is used to perform a subtraction operation to remove the cup body, cup cover, and cup plug from the external flow field, thereby determining the effective fluid domain, that is, the fluid part that actually participates in the thermal insulation performance analysis, including the internal air and water, and the external air in contact with the thermos cup, etc., thereby accurately defining the fluid range that needs to be analyzed for thermal insulation performance and excluding the parts that do not need to be considered, making subsequent simulation calculations more accurate and efficient.

[0039] Furthermore, the effective fluid domain refers to the internal and external air and water areas, which are an integral part. At this time, although the effective fluid domain has been identified, there is no physical property setting for this part of the fluid domain, that is, the water and air parts are not clearly identified. It is necessary to combine the non-connected area segmentation to clearly identify the water and air parts.

[0040] (3) The effective fluid domain is meshed and the model is segmented. According to the physical connectivity of the effective fluid domain, the continuous effective fluid domain is divided into various non-connected areas. In one embodiment, the mesh can be divided according to the preset grid size, and then the model is segmented to segment the generated effective fluid domain (fluid) into non-connected areas. The originally continuous fluid domain is divided into multiple sub-areas according to the physical connectivity. The segmented areas are named according to the automatic numbering, such as fluid, fluid 2, fluid 3, fluid 4, etc. This is because the fluid areas inside and outside the thermos cup may be physically disconnected, or there may be some independent chambers, etc.; by separating these non-connected areas, the fluid flow and heat transfer in different areas can be simulated more accurately. After being divided into multiple parts, it is also convenient to set the subsequent boundary conditions (for example, fluid is set to solid, fluid2 is set to gas, and fluid3 is set to liquid).

[0041] In other words, the fluid is divided into multiple parts through the above steps. Each part has no real physical properties and is just an area. Only after the physical properties are assigned by the user selection and the thermal boundary condition components do they have real physical properties. For example, if the model has a vacuum area, it needs to be identified with the algorithm in the specific process.

[0042] (4) Based on the component information of the Boolean operation component used when determining the effective fluid domain, the divided effective fluid domain is subjected to geometric imprinting processing to determine the target effective fluid domain. In one embodiment, the components for Boolean operation are identified on this basis and an imprinting operation is performed. For example, geometric imprinting is performed on the cup-fluid interface. Its function is to ensure that the contact relationship and boundary information between the cup and the fluid are accurately recorded and reflected in the geometric model. In this way, in subsequent simulation calculations, boundary conditions such as temperature and pressure can be applied more accurately to simulate the interaction between the thermos cup and the fluid under actual working conditions, thereby improving the reliability and accuracy of the simulation results. The function of imprinting can be understood as follows: assuming there is a cube and a sphere, the sphere is dug out of the cube through Boolean operation (such as difference) to form a concave cube. Then, through imprinting processing, the surface texture or concave-convex feeling of the sphere is imprinted onto the surface of the cube, making the concave area look more realistic.

[0043] See also Figure 3 The figure shows a flow chart of a method for assigning boundary conditions. An embodiment of the present invention also provides an implementation method for assigning thermal boundary conditions to a marked effective fluid domain. Based on a nonlinear segmentation component and a volume screening model, the target effective fluid domain is divided into an external air domain, an internal air domain, an internal liquid domain and a vacuum domain. Through a thermal boundary configuration component, corresponding thermal boundary conditions are respectively configured for the external air domain, the internal air domain, the internal liquid domain and the vacuum domain.

[0044] In one embodiment, based on the valid fluid domain that has been identified after segmentation, the valid fluid domain can be traversed and identified, and the boundary setting related information of the user interaction can be obtained. Then, the vacuum area is determined, and the thermal boundary conditions are assigned to the marked valid fluid domain. Among them, the boundary setting related information of the user interaction includes physical quantities of the water cup such as density. These physical quantities are of great reference value for subsequent area division. For example, density information can help determine whether certain areas meet the characteristics of fluids such as liquids, thereby assisting in determining the internal liquid domain, etc. Moreover, when dividing areas such as internal and external air, the physical quantities assigned by the user also need to be considered, because the combination of different physical quantities can more accurately define the properties of different fluid areas. At the same time, the area division results will also affect the further understanding and application of the boundary setting related information. For example, after clarifying the internal and external air areas, boundary conditions that meet their physical characteristics can be set for these areas more accurately.

[0045] In addition, the effective area refers to the part of the fluid domain that can be used for thermal insulation performance analysis, which is finally determined after a series of screening and judgment. It includes the internal liquid domain (such as hot water) and the external air domain, which are key areas that actually participate in heat transfer. Although the fluid domain information has been preliminarily obtained in the previous steps (such as the step of nonlinear segmentation of the annotated fluid domain information), it is still necessary to further accurately determine the effective area. Because in the preliminary fluid domain segmentation process, there may be some areas that do not conform to the actual physical conditions or require further screening, such as some extremely small, unreasonable areas or areas where materials are not correctly allocated. These parts can be eliminated through the above steps, and finally the accurate effective area is obtained for subsequent simulation analysis and assignment of boundary conditions.

[0046] Specifically, in the thermos cup model, the outermost air domain usually has the largest volume, while the vacuum interlayer (if any) will appear as: a closed area with a volume close to zero (such as an incorrectly modeled interlayer) and an isolated area with no material assigned. The volume screening model is used to calculate the volume of each segmented area, and then perform conditional identification to delete the areas with a volume less than a threshold (such as m³) area, and make judgments based on the order of air and water input when the user builds the process.

[0047] Regarding the division of internal and external air:

[0048] External air domain: Typically, the outermost air domain of a thermos flask model has the largest volume. This is because the thermos flask is placed in an environment and is surrounded by a large amount of air. This air appears as a large continuous area in the model. Using the volume screening method, this largest area can be easily identified as the external air domain.

[0049] Internal air spaces: In addition to the liquid (e.g., hot water) contained within a thermos, there may also be some air regions, such as above the liquid surface or inside the lid. These internal air spaces are generally much smaller than the external air spaces, but larger than the vacuum layer (if any). Volume screening allows these regions to be distinguished from the external air spaces and possible vacuum regions.

[0050] Identification of internal liquid domains: In addition to the air domain and vacuum area, the interior of a thermos bottle also contains an important area called the internal liquid domain, which usually contains liquids such as hot water. The volume of this area is generally larger than the internal air domain and vacuum area, but smaller than the external air domain. During the volume screening and region segmentation process, by comparing the volumes of each segmented region and combining relevant information entered by the user, the second largest area can be identified as the internal liquid domain.

[0051] Determination of vacuum area: In a double-layer thermos, there is a vacuum interlayer, whose main function is to reduce heat conduction and convection heat transfer, thereby improving thermal insulation performance. This vacuum interlayer is a nearly closed area. Theoretically, there is no fluid substance such as air. In the model, it will appear as a closed area with a volume close to zero. This part cannot be assigned physical properties and is an invalid area.

[0052] Using the volume screening method, areas with a volume smaller than a threshold can be first screened out as candidate vacuum areas. This threshold can be dynamically adjusted based on the total volume and standard volume of the model to accommodate thermos cup models of different sizes. For example, for a standard-sized thermos cup model, a relatively small volume threshold can be set to identify areas that are significantly smaller than the internal air and liquid domains as candidate vacuum areas. At the same time, combined with information such as the order in which the user inputs air and water when building the process, it is further confirmed whether these candidate vacuum areas conform to the actual physical location and characteristics of the vacuum interlayer. For example, if the user clearly indicates the location of the vacuum interlayer or the special treatment of the interlayer during modeling, then this information can be used as a reference when determining the vacuum area, improving the accuracy of the determination.

[0053] The purpose of the above steps is to distinguish fluid, fluid 2, fluid 3, and fluid 4 after the effective fluid domain is divided, and mark which part is water, which part is air, and which part is the invalid area, and then configure the boundary conditions (according to real physical experiments).

[0054] Furthermore, the volume screening threshold can be dynamically adjusted according to the model volume:

[0055]

[0056] in, is the threshold for volume screening, is the total volume of the model, is the standard volume of the model.

[0057] Priority judgment: the area with the largest volume is the external air domain, the second largest area is the internal liquid domain, and the smallest area is the candidate vacuum area, including fluid 2 (internal air), fluid 3 (hot water), and fluid 4 (candidate vacuum area).

[0058] Furthermore, the above steps are used to identify the fluid domain, obtain physical quantity information for user interaction, and perform regional division. Thermal boundary configuration is a subsequent operation based on these steps. Its function is to set appropriate thermal boundary conditions for different regions (such as the internal liquid domain, the external air domain, and the vacuum region). For example, for the internal liquid domain (hot water), thermal boundary conditions such as its initial temperature and heat exchange method with the cup wall need to be set according to actual conditions. For the external air domain, thermal boundary conditions such as the ambient temperature and the convective heat transfer coefficient with the outer wall of the thermos cup need to be considered. These thermal boundary conditions are key factors in accurately simulating the thermal insulation performance of the thermos cup, as they directly affect the method and rate of heat transfer between different regions.

[0059] By combining the thermal boundary configuration component with other components, the diversified generation of industrial simulation applications for household daily necessities can be effectively achieved. This mainly includes Boolean operations on the original fluid domain component, stripping of the effective part of the model, and unified setting of the thermal boundary configuration part. The insulation layer identification, which is difficult to generalize in the thermal insulation performance analysis simulation application, is reduced to the effective fluid domain obtained by the Boolean operation component. Then, the process is rebuilt by associating the thermal boundary component to meet the design requirements of diversified industrial simulation applications for household daily necessities, making it a component-based universal insulation performance design suitable for the design of household daily necessities such as thermos cups and insulation containers that require heat conduction analysis. In addition, based on the thermal boundary configuration component, the boundary conditions of other components can be further set. For example, setting the ambient temperature of the external flow field component to 25 degrees allows other originally non-associated components to also set boundary conditions, so that setting boundary conditions through user interaction information is no longer unique to a certain component, but can be shared by other components.

[0060] In the process of selecting the surface of an insulation container, it is usually necessary to obtain information on some continuous surfaces through interaction. The original cloud-based industrial simulation application in the field of insulation performance adopts a single-point surface selection method, which is not conducive to user operation. Therefore, a more convenient interaction mode is optimized and designed, which is manifested as a three-dimensional model surface point selection function. Especially in the scenario where multiple adjacent surfaces need to be selected for batch operation, this function automatically identifies and selects the surfaces connected to it by double-clicking the surface selected by the user, which can significantly improve the operation efficiency in complex geometric models. The overall implementation plan adopts the method of grouping the surface features of the three-dimensional model in advance. The implementation of grouping is based on the judgment of the normal vector angle, that is, adjacent surfaces with a normal vector angle less than a set threshold are grouped into one group, which means that they have a smooth connection relationship in geometry. The embodiment of the present invention also provides an implementation method for surface recognition of the target simulation model. For details, see (1) to (2) below:

[0061] (1) By performing model parsing on the target simulation model, the model topology of the target simulation model is determined, and based on the model topology, the adjacency relationship between the surfaces of the target simulation model is determined. In other words, the surface feature grouping of the three-dimensional model is a key step. When the model is loaded or used for the first time, the system will pre-process its surface. By parsing the topology of the model, the system can identify the adjacency relationship between each surface.

[0062] (2) The surface features of the target simulation model are grouped according to the adjacency relationship between the surfaces of the target simulation model, so that before the target simulation model is simulated, when the selection information of any surface is received, the remaining surfaces of the same group are automatically identified and confirmed. In one embodiment, the normal vector angle between adjacent surfaces with a shared edge can be calculated. If the normal vector angle is less than a preset angle threshold, it is determined that the continuity and smoothness between the adjacent surfaces meet the grouping requirements, and the adjacent surfaces are divided into the same group. Specifically, for each pair of adjacent surfaces with a shared edge, the system calculates the angle between their normal vectors. If the angle is less than a preset threshold (for example, 15°), it is considered that the two surfaces have sufficient smoothness or continuity and are thus classified as For the same group, through area expansion algorithms such as breadth-first search, the system will traverse the entire model, aggregate all faces that meet the continuity conditions into multiple groups, and assign a unique identifier to each group. The logic of the breadth-first search algorithm is to start from a certain face, put it into a queue, and create an empty face set to save the current group. Then execute the following loop: take the current face from the queue, add it to the face set, and then check all faces adjacent to the face to determine whether they meet the condition that the normal vector angle is less than the threshold and have not been visited. If they meet the condition, these adjacent faces are added to the queue and the loop continues until the queue is empty, completing the grouping. This process effectively reduces the real-time computing requirements during user operations and provides a basis for rapid response for subsequent click functions.

[0063] When a user double-clicks a surface on a 3D model, the system first identifies the group identifier to which the surface the user double-clicked belongs. With the help of the group data generated in the preprocessing stage, the system can instantly select all surfaces corresponding to the identifier without having to judge their geometric relationships one by one. The selected surfaces are usually highlighted so that the user can confirm the results. The user can not only quickly complete the selection of complex surface areas, but also further optimize batch assignment, constraint application, boundary condition loading and other operations through the logical structure of the group. This operation method simplifies the user's workload when processing complex models, while maintaining the intuitiveness and convenience of the interaction process.

[0064] This grouping method based on the normal vector angle can not only effectively process surfaces with smooth transition characteristics, but also adapt to models with different accuracy requirements by adjusting the threshold. For example, when more relaxed selection conditions are required, increasing the threshold of the normal vector angle can group more adjacent surfaces into the same group; in scenarios that require more precise selection, reducing the threshold can achieve accurate capture of more local features. By combining advance grouping and real-time fast selection, this point-and-click selection function provides powerful operational support for users of industrial simulation applications for thermal insulation performance.

[0065] The algorithm flow is as follows:

[0066] 1. Model preprocessing stage

[0067] Topology analysis: After loading the 3D model, the system builds an adjacency table to identify the adjacency relationship between each surface (through shared edges).

[0068] Normal calculation: Calculate the unit normal vector for each surface , and stored for subsequent judgment.

[0069] Grouping determination: Set the normal vector angle threshold θmax (such as 15°), calculate cos(θ) through the normal vector angle of adjacent faces sharing the edge, and if cos(θ)>cos(θmax), it is considered to be smoothly connected.

[0070] Region expansion: Using the breadth-first search algorithm, the faces are grouped as nodes, and each group is assigned a unique identifier group_id.

[0071] Result output: Generate a {face_id: group_id} mapping table and cache the grouped data for subsequent click function calls.

[0072] 2. User interaction stage

[0073] Double-click capture: Through mouse interaction, identify the face F_click where the user double-clicks.

[0074] Group query: Find group_id_click = group_id[F_click] from the preprocessing results.

[0075] Batch selection: Use group_id_click to obtain all faces in the group and highlight them for user confirmation.

[0076] Subsequent operations: Users can perform batch operations such as assigning values ​​and applying constraints to the selected face sets.

[0077] In practical applications, see Figure 4The figure shows a specific process diagram of a universal design method for industrial application of thermal insulation performance simulation. For a certain thermos cup model, the boundary conditions of each part can be set interactively, including the cup lid, cup stopper, and cup body of the thermos cup. This process can be implemented through a graphical user interface. By selecting different parts of the thermos cup, the system can automatically identify the corresponding features. When performing subsequent thermal insulation performance analysis, the corresponding boundary condition settings are assigned based on these features.

[0078] For this working condition, the thermal boundary configuration component is used in conjunction with nonlinear segmentation. The nonlinear segmentation component is used in conjunction with the external flow field component and the Boolean operation component to identify each fluid domain part, such as Figure 5 The schematic diagram of a thermos cup model shown in FIG. identifies the internal air, external air, and water parts. The internal air is an invalid area that needs to be deleted. The nonlinear segmentation component automatically removes the invalid area after identification. The external air is the area (environment) between the external flow field and the model. The external flow field component is associated with the thermal boundary configuration component. The user can assign the physical properties and temperature of the air to it through interaction. The water area is the insulation layer of the thermos cup model. The physical properties and temperature of the water are assigned to it by associating with the nonlinear segmentation component and identifying user interaction information.

[0079] In addition to the aforementioned boundary settings, the overall industrial simulation application process for household products involves importing and analyzing models of household products. The simulation analysis environment is defined by creating an external flow field, while the thermal boundary component interacts with the user to set materials and physical properties. For example, physical settings are performed for areas such as the cup lid, cup body, cup stopper, and hot water. Fixed areas such as the cup lid, cup body, and cup body are set with materials (density, specific heat, and thermal conductivity), while the ambient temperature and pressure boundaries are set for the entire external surface (Block.Bock Surface) of the external flow field. After setting the number of iterations, simulation analysis and calculations are performed. After the calculations are completed, they are usually displayed as cloud maps. This visual approach uses color gradients to intuitively map the temperature field distribution in the insulation structure, allowing engineers to quickly identify thermal characteristics. This provides visual decision support for performance evaluation and design optimization.

[0080] In the field of engineering analysis and visualization, in order to efficiently present fluid simulation results to users, the calculation results can be converted into a .case file format. This format, as a standard data carrier in the field of fluid dynamics, is specially designed for multi-physics field transient data and supports the storage of multi-dimensional variables such as thermodynamics and turbulence. Users can conduct in-depth analysis of the model in an interactive manner on the web and intuitively view various analysis results.

[0081] The specific process includes the following:

[0082] 1. Geometry processing: the user selects the model to import.

[0083] 2. Create the external flow field according to the imported model, perform Boolean operations, create the external flow field cube (Block), perform the subtraction operation Block-(cup body + cup lid + cup plug) = the generated (effective) fluid domain (fluid), and perform the imprinting operation to ensure the continuity of the contact surface mesh.

[0084] 3. Execute meshing: Generate the initial surface mesh automatically with a surface mesh base of 0.1m (user-defined when creating the app); segment the non-connected regions into multiple connected regions; delete the vacuum region (fluid4) and clear the invalid tiny regions (volume threshold method); rename the regions (user-defined when creating the app) to clarify the physical meaning of the regions.

[0085] 4. The user selects the model geometry and configures the material (density, specific heat, and thermal conductivity). The solid domain is the cup body, lid, and stopper; the air domain is an ideal gas model; and the water domain is a constant density liquid with an initial temperature of 100°C.

[0086] 5. Boundary conditions and solution settings; Boundary conditions: The external flow field boundary (Block Surface) is set to the pressure outlet (PressureBoundary); Solver parameters: step duration, total simulation time, maximum number of steps (to prevent early termination).

[0087] 6. Output the results and render them for display. For data import, the temperature field data is exported as a CSV file; a CASE file (result.case) that can be post-processed is generated; and batch selection of faces can be performed by clicking on the faces, which is beneficial for interactive selection in industrial simulation applications in the field of thermal insulation containers.

[0088] In summary, the present invention addresses the needs of thermal insulation performance industrial scenarios by introducing additional thermal boundary configuration components and nonlinear segmentation components, and deeply associating them with the original fluid components, thereby realizing automatic identification and dynamic adjustment of simulation parameters. The thermal boundary configuration component can transmit the target features (for example, temperature gradient, thermal resistance distribution, etc.) in the thermal insulation performance test standard and the multi-physical field interaction logic to other components in real time, thereby ensuring that the boundary conditions of the entire simulation system are highly consistent with the actual industrial scenario. In addition, the nonlinear segmentation component also solves the problem that the fixed volume threshold in the traditional thermal insulation performance industrial scenario cannot adapt to models of different sizes, and may mistakenly delete valid areas or retain invalid areas. The present invention uses collaboration between components and a specific algorithm to identify and mark the segmented physical intervals, effectively solving the limitations of the traditional fixed threshold segmentation method, significantly improving the automation level and result reliability of thermal insulation performance simulation, and providing solid technical support for industrial-grade batch simulation.

[0089] Regarding the universal design method for thermal insulation performance simulation industrial application provided by the above embodiment, the embodiment of the present invention provides a universal design device for thermal insulation performance simulation industrial application, see Figure 6 The structure diagram of a universal design device for industrial application of thermal insulation performance simulation is shown, which includes the following parts:

[0090] The fluid domain partitioning module 602 determines the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user terminal and the external flow field component and the Boolean operation component, and performs grid division and model segmentation on the effective fluid domain to determine the target effective fluid domain, wherein the effective fluid domain is the fluid portion of the model to be simulated that participates in the thermal insulation performance analysis;

[0091] The thermal boundary condition configuration module 604 configures corresponding thermal boundary conditions for each region of the target effective fluid domain by combining the nonlinear segmentation component and the thermal boundary configuration component to determine the target simulation model;

[0092] The simulation processing module 606 uses a preset solver to perform simulation calculation processing on the target simulation model, and performs temperature field rendering processing on the output results to determine the target thermal insulation performance simulation results.

[0093] The universal design device for industrial application of the thermal insulation performance simulation provided in the embodiment of the present application can significantly improve the simulation efficiency of the thermal insulation performance simulation and the accuracy of the simulation results.

[0094] In one embodiment, when performing the steps of determining the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user end and the external flow field component and the Boolean operation component, the above-mentioned fluid domain division module 602 is also used to: determine the geometric shape, starting coordinates, ending coordinates and external flow field temperature of the external flow field according to the interaction information between the user end and the external flow field component to construct the external flow field of the model to be simulated; and determine the difference between the external flow field and the fluid part that does not participate in the thermal insulation performance analysis in the model to be simulated as the effective fluid domain through the Boolean operation component.

[0095] In one embodiment, when performing meshing and model segmentation processing on the effective fluid domain to determine the target effective fluid domain, the above-mentioned fluid domain segmentation module 602 is also used to: perform meshing and model segmentation processing on the effective fluid domain, divide the continuous effective fluid domain into various non-connected areas according to the physical connectivity of the effective fluid domain, and perform geometric imprinting processing on the divided effective fluid domain according to the component information of the Boolean operation component used when determining the effective fluid domain to determine the target effective fluid domain.

[0096] In one embodiment, when performing the step of configuring corresponding thermal boundary conditions for each region of the target effective fluid domain by combining a nonlinear segmentation component and a thermal boundary configuration component, the above-mentioned thermal boundary condition configuration module 604 is also used to: based on the nonlinear segmentation component and the volume screening model, perform region division processing on the target effective fluid domain, divide the target effective fluid domain into an external air domain, an internal air domain, an internal liquid domain and a vacuum domain, and configure corresponding thermal boundary conditions for the external air domain, the internal air domain, the internal liquid domain and the vacuum domain respectively through the thermal boundary configuration component.

[0097] In one embodiment, after the step of determining the target simulation model, the above-mentioned thermal boundary condition configuration module 604 is also used to: determine the model topology structure of the target simulation model by performing model analysis processing on the target simulation model, and determine the adjacency relationship between the surfaces of the target simulation model based on the model topology structure; group the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model, so that before the target simulation model is simulated, when the selection information of any surface is received, the remaining surfaces in the same group are automatically identified and confirmed.

[0098] In one embodiment, when performing the step of grouping the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model, the above-mentioned thermal boundary condition configuration module 604 is also used to: calculate the normal vector angle between adjacent surfaces whose adjacency relationship is that there is a shared edge. If the normal vector angle is less than a preset angle threshold, it is determined that the continuity and smoothness between the adjacent surfaces meet the grouping requirements, and the adjacent surfaces are divided into the same group.

[0099] In one embodiment, when performing the step of simulating and calculating the target simulation model using a preset solver, the above-mentioned simulation processing module 606 is also used to: perform solver parameter configuration processing on the preset solver according to the model type of the target simulation model, determine the step duration, total simulation duration and maximum number of steps during the solver simulation, and use the preset solver to simulate and calculate the target simulation model based on the step duration, total simulation duration and maximum number of steps to determine the output result.

[0100] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0101] An embodiment of the present invention provides a server. Specifically, the server includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned embodiments.

[0102] Figure 7 A structural diagram of a server provided in an embodiment of the present invention, wherein the server 100 includes: a processor 70, a memory 71, a bus 72 and a communication interface 73, wherein the processor 70, the communication interface 73 and the memory 71 are connected via the bus 72; the processor 70 is used to execute an executable module stored in the memory 71, such as a computer program.

[0103] Memory 71 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. Communication between the system network element and at least one other network element is achieved through at least one communication interface 73 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.

[0104] The bus 72 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, Figure 7 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0105] Among them, the memory 71 is used to store programs, and the processor 70 executes the program after receiving the execution instruction. The method executed by the device for flow process definition disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 70 or implemented by the processor 70.

[0106] The processor 70 may be an integrated circuit chip with signal processing capabilities. During implementation, the steps of the above-described method may be performed by hardware integrated logic circuits or software instructions within the processor 70. The processor 70 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It may implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in conjunction with the embodiments of the present invention may be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules within the decoding processor. The software modules may be located in storage media well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or the like. The storage medium is located in the memory 71 , and the processor 70 reads the information in the memory 71 and completes the steps of the above method in combination with its hardware.

[0107] The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be referred to the previous method embodiment and will not be repeated here.

[0108] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0109] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A universal design method for thermal insulation performance simulation industrial application, characterized in that: The method comprises: Based on the interaction information between the user terminal and the external flow field component and the Boolean operation component, the external flow field of the model to be simulated and the effective fluid domain in the external flow field are determined, and the effective fluid domain is meshed and segmented to determine the target effective fluid domain, wherein the effective fluid domain is the fluid portion of the model to be simulated that participates in the thermal insulation performance analysis; By combining a nonlinear segmentation component and a thermal boundary configuration component, corresponding thermal boundary conditions are configured for each region of the target effective fluid domain to determine a target simulation model; Performing simulation calculation processing on the target simulation model using a preset solver, and performing temperature field rendering processing on the output results to determine the target thermal insulation performance simulation results; The step of configuring corresponding thermal boundary conditions for each region of the target effective fluid domain by combining a nonlinear segmentation component and a thermal boundary configuration component includes: performing a region division process on the target effective fluid domain based on the nonlinear segmentation component and the volume screening model, dividing the target effective fluid domain into an external air domain, an internal air domain, an internal liquid domain, and a vacuum domain, and configuring corresponding thermal boundary conditions for the external air domain, the internal air domain, the internal liquid domain, and the vacuum domain respectively through the thermal boundary configuration component; Among them, after the step of determining the target simulation model, it includes: determining the model topology structure of the target simulation model by performing model analysis processing on the target simulation model, and determining the adjacency relationship between the surfaces of the target simulation model based on the model topology structure; grouping the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model, so that before the target simulation model is simulated, when the selection information of any surface is received, the remaining surfaces in the same group are automatically identified and confirmed.

2. The universal design method for industrial application of thermal insulation performance simulation according to claim 1, characterized in that: The step of determining the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user terminal and the external flow field component and the Boolean operation component respectively includes: Determining the geometry, start coordinates, end coordinates, and temperature of the external flow field according to the interaction information between the user terminal and the external flow field component, so as to construct the external flow field of the model to be simulated; Through Boolean operation components, the difference between the external flow field and the fluid portion of the model to be simulated that does not participate in the thermal insulation performance analysis is determined as the effective fluid domain.

3. The universal design method for thermal insulation performance simulation industrial application according to claim 1, characterized in that: The step of performing grid division and model segmentation on the effective fluid domain to determine the target effective fluid domain includes: The effective fluid domain is subjected to grid division and model segmentation processing. According to the physical connectivity of the effective fluid domain, the continuous effective fluid domain is divided into various non-connected areas. According to the component information of the Boolean operation component, the divided effective fluid domain is subjected to geometric imprinting processing to determine the target effective fluid domain.

4. The universal design method for thermal insulation performance simulation industrial application according to claim 1, characterized in that: The step of grouping the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model comprises: The normal vector angle between adjacent surfaces having a shared edge is calculated. If the normal vector angle is less than a preset angle threshold, it is determined that the continuity and smoothness between the adjacent surfaces meet the grouping requirements, and the adjacent surfaces are divided into the same group.

5. The universal design method for thermal insulation performance simulation industrial application according to claim 1, characterized in that: The step of performing simulation calculation processing on the target simulation model using a preset solver includes: According to the model type of the target simulation model, the preset solver is configured with solver parameters to determine the step duration, total simulation duration and maximum number of steps during solver simulation, and the preset solver is used to perform simulation calculation processing on the target simulation model based on the step duration, total simulation duration and maximum number of steps to determine the output result.

6. Universal design device for industrial application of thermal insulation performance simulation, characterized by: The device comprises: A fluid domain division module determines the external flow field of the model to be simulated and the effective fluid domain in the external flow field based on the interaction information between the user terminal and the external flow field component and the Boolean operation component, and performs grid division and model segmentation on the effective fluid domain to determine the target effective fluid domain, wherein the effective fluid domain is the fluid portion of the model to be simulated that participates in the thermal insulation performance analysis; A thermal boundary condition configuration module, which configures corresponding thermal boundary conditions for each region of the target effective fluid domain by combining a nonlinear segmentation component and a thermal boundary configuration component, and determines a target simulation model; A simulation processing module performs simulation calculation processing on the target simulation model using a preset solver, and performs temperature field rendering processing on the output result to determine the target thermal insulation performance simulation result; The step of configuring corresponding thermal boundary conditions for each region of the target effective fluid domain by combining a nonlinear segmentation component and a thermal boundary configuration component includes: performing a region division process on the target effective fluid domain based on the nonlinear segmentation component and the volume screening model, dividing the target effective fluid domain into an external air domain, an internal air domain, an internal liquid domain, and a vacuum domain, and configuring corresponding thermal boundary conditions for the external air domain, the internal air domain, the internal liquid domain, and the vacuum domain respectively through the thermal boundary configuration component; Among them, after the step of determining the target simulation model, it includes: determining the model topology structure of the target simulation model by performing model analysis processing on the target simulation model, and determining the adjacency relationship between the surfaces of the target simulation model based on the model topology structure; grouping the surface features of the target simulation model according to the adjacency relationship between the surfaces of the target simulation model, so that before the target simulation model is simulated, when the selection information of any surface is received, the remaining surfaces in the same group are automatically identified and confirmed.

7. A server, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method according to any one of claims 1 to 5.

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