Energy-saving building materials application effect display system and method based on virtual reality

Abstract

This application provides a virtual reality-based system and method for displaying the application effects of energy-saving building materials. The system extracts the heat flux density distribution on the surface of the energy-saving building material under each thermal boundary condition from all heat flux density data, determines the heat flux uniformity of the surface of the energy-saving building material under each thermal boundary condition, performs response delay analysis on the thermal response process of the energy-saving building material, and obtains the delay constraint conditions for the thermal response between the surface and back of the energy-saving building material. Based on the delay constraint conditions and all heat flux uniformity, the color mapping value at each simulation step in the simulation visualization process is graded to obtain the graded suppression degree of each color mapping value. Based on the graded suppression degree of the color mapping value at the current simulation step, the color mapping diagram at the next simulation step is adjusted, thereby outputting the simulation visualization results of the thermal insulation performance of the energy-saving building material. The solution of this application can realize a visual display of the heat capacity accumulation effect generated by energy-saving building materials under transient non-steady-state heat conduction.

Description

Technical Field

[0001] The present application relates to the field of virtual reality technology, and more specifically, to a system and method for displaying the application effects of energy-saving building materials based on virtual reality. Background Art

[0002] Virtual reality is an advanced technology that uses computer graphics, sensor technology, and real-time rendering to construct a highly realistic three-dimensional virtual environment, allowing users to truly perceive the virtual space in an immersive, multi-sensory interactive way. In the display of the application effects of energy-saving building materials, virtual reality technology converts complex thermal performance and energy efficiency data into intuitive visual and sensory information, allowing users to observe in real time in virtual building models the specific effects of different energy-saving building materials on indoor temperature regulation, energy consumption reduction, and thermal comfort.

[0003] With the development of building energy-saving technology, the thermal performance evaluation of energy-saving building materials has received increasing attention, especially the heat capacity accumulation effect of materials under transient non-steady-state heat conduction has become the core influencing factor of the thermal response behavior of energy-saving building materials. The so-called heat capacity accumulation refers to the phenomenon that when building materials are subjected to periodic thermal disturbances, due to their own heat capacity properties, heat gradually accumulates inside the material and is released with a lag. The heat capacity accumulation effect is highly nonlinear, time-varying and spatially coupled. Traditional thermal analysis methods are mostly based on steady-state assumptions or simplified boundary conditions. It is difficult to truly simulate the heat accumulation and release process of energy-saving building materials under multiple time periods and variable working conditions, resulting in cognitive bias in the design stage of material performance, which in turn affects material selection decisions and accurate evaluation of building energy-saving effects. Therefore, how to visualize the heat capacity accumulation effect generated by energy-saving building materials under transient non-steady-state heat conduction has become a difficult problem faced by the industry. Summary of the Invention

[0004] The present application provides a virtual reality-based energy-saving building material application effect display system and method, which can realize the visual display of the heat capacity accumulation effect generated by energy-saving building materials under transient non-steady-state heat conduction.

[0005] In a first aspect, the present application provides a method for simulating and visualizing the thermal insulation performance of energy-saving building materials, which performs thermal insulation performance simulation visualization in an energy-saving building material application effect display system based on virtual reality. The method comprises the following steps:

[0006] Obtain heat flux density data on the surface of energy-saving building materials under different thermal boundary conditions;

[0007] Extract the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition from all heat flux density data, and then determine the heat flux uniformity on the surface of energy-saving building materials under each thermal boundary condition;

[0008] Obtain temperature data on the surface and back of energy-saving building materials under different thermal boundary conditions, analyze the response delay of the thermal response process of energy-saving building materials through the temperature gradient of each temperature data at different times, and obtain the delay constraint conditions of the thermal response between the surface and back of energy-saving building materials;

[0009] According to the delay constraint condition and all heat flow uniformity, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is graded and suppressed to obtain the graded suppression degree of each color mapping value;

[0010] Based on the graded suppression degree of the color mapping value under the current simulation step, the color mapping diagram under the next simulation step is adjusted, and then the simulation visualization results of the thermal insulation performance of energy-saving building materials are output.

[0011] In some embodiments, extracting the heat flux density distribution of the surface of the energy-saving building material under each thermal boundary condition from all heat flux density data specifically includes:

[0012] For each thermal boundary condition;

[0013] Based on the heat flux density data of the energy-saving building material surface under thermal boundary conditions, the fluctuation characteristics of the heat flux density at the sampling points on the energy-saving building material surface under thermal boundary conditions are determined;

[0014] According to the fluctuation characteristics of the heat flux density at the sampling points on the surface of energy-saving building materials under thermal boundary conditions, the heat flux density at adjacent sampling points on the surface of energy-saving building materials under thermal boundary conditions is interpolated to obtain the heat flux density distribution on the surface of energy-saving building materials under thermal boundary conditions.

[0015] In some embodiments, determining the heat flux uniformity of the surface of the energy-saving building material under each thermal boundary condition specifically includes:

[0016] Determine the heat flux concentration of the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition;

[0017] The heat flux uniformity of the energy-saving building material surface under each thermal boundary condition is determined based on the coefficient of variation of the heat flux density in the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition and the heat flux concentration of the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition.

[0018] In some embodiments, the response delay analysis of the thermal response process of the energy-saving building material is performed using the temperature gradient of each temperature data at different times, and the delay constraint conditions of the thermal response between the front and back surfaces of the energy-saving building material are obtained, specifically including:

[0019] Determine the temperature gradient response thresholds of the surface and back of the energy-saving building material during the thermal response process based on the temperature gradient of each temperature data at different times;

[0020] Extracting the benchmark time delay when the temperature on the back of the energy-saving building material reaches a stable state for the first time from the temperature data on the back of the energy-saving building material;

[0021] Based on the temperature data of the surface and back of energy-saving building materials, the temperature response coefficient between the surface and back of energy-saving building materials at the same time step is extracted;

[0022] The reference time delay is constrained by analyzing the temperature response coefficient and the temperature gradient response threshold of the surface and back of the energy-saving building material during the thermal response process, and the delay constraint condition of the thermal response between the surface and back of the energy-saving building material is obtained.

[0023] In some embodiments, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is graded and suppressed according to the delay constraint and all heat flow uniformity, and the graded suppression degree of each color mapping value is obtained specifically including:

[0024] Determining the initial suppression weight of the color mapping value at each simulation step in the visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition;

[0025] The color mapping value at each simulation step is scaled by all heat flux uniformity to obtain the graded scaling ratio of the color mapping value at each simulation step during the visualization of the thermal insulation performance of energy-saving building materials.

[0026] The hierarchical scaling ratio of each color mapping value is suppressed according to the initial suppression weight of the color mapping value at each simulation step to obtain the hierarchical suppression degree of each color mapping value.

[0027] In some embodiments, adjusting the color map at the next simulation step based on the graded suppression degree of the color map value at the current simulation step specifically includes:

[0028] Read the color map under the current simulation step;

[0029] The color saturation of the color map under the current simulation step is adjusted by the graded suppression degree of the color map value under the current simulation step, thereby generating the color map under the next simulation step.

[0030] In some embodiments, outputting the simulation visualization results of the thermal insulation performance of energy-saving building materials specifically includes:

[0031] The color mapping images under all simulation steps are synthesized into a time-series animation to obtain a visualization animation of the thermal insulation performance of the energy-saving building material, and the visualization animation is used as a simulation visualization result of the thermal insulation performance of the energy-saving building material.

[0032] In some embodiments, the thermal boundary conditions specifically include convection boundary conditions, radiation boundary conditions, and periodic boundary conditions.

[0033] In some embodiments, the color map represents an image showing a visual mapping effect of heat capacity accumulation.

[0034] In a second aspect, the present application provides a virtual reality-based energy-saving building material application effect display system, the display system including a simulation visualization unit, the simulation visualization unit including:

[0035] Acquisition module, used to obtain heat flux density data on the surface of energy-saving building materials under different thermal boundary conditions;

[0036] A processing module is used to extract the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition from all heat flux density data, and then determine the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition;

[0037] The processing module is further used to obtain temperature data on the surface and back of the energy-saving building material under different thermal boundary conditions, perform response delay analysis on the thermal response process of the energy-saving building material through the temperature gradient of each temperature data at different times, and obtain the delay constraint condition of the thermal response between the surface and back of the energy-saving building material;

[0038] The processing module is further configured to perform hierarchical suppression of the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition and all heat flow uniformities, thereby obtaining a hierarchical suppression degree for each color mapping value;

[0039] The execution module is used to adjust the color mapping diagram under the next simulation step based on the hierarchical suppression degree of the color mapping value under the current simulation step, and then output the simulation visualization results of the thermal insulation performance of energy-saving building materials.

[0040] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0041] In the virtual reality-based energy-saving building material application effect display system and method provided in the present application, heat flux density data of the energy-saving building material surface under different thermal boundary conditions are obtained; the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition is extracted from all the heat flux density data, and then the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition is determined; the temperature data of the surface and back of the energy-saving building material under different thermal boundary conditions are obtained, and the response delay analysis of the thermal response process of the energy-saving building material is performed through the temperature gradient of each temperature data at different times, and the delay constraint condition of the thermal response between the surface and back of the energy-saving building material is obtained; according to the delay constraint condition and all the heat flux uniformities, the color mapping value under each simulation step in the simulation visualization process of the thermal insulation performance of the energy-saving building material is graded and suppressed to obtain the graded suppression degree of each color mapping value; the color mapping diagram under the next simulation step is adjusted based on the graded suppression degree of the color mapping value under the previous simulation step, and then the simulation visualization result of the thermal insulation performance of the energy-saving building material is output.

[0042] It can be seen that in this application, the color mapping diagram under the next simulation step can be adjusted based on the graded suppression degree of the color mapping value under the previous simulation step; wherein, first, the heat flux density distribution on the surface of the energy-saving building material under each thermal boundary condition is extracted. The heat flux density distribution can dynamically restore the spatial characteristics of heat transfer on the surface of the energy-saving building material. By analyzing the distribution law of heat flux density in space, the non-uniformity of heat input on the surface of the energy-saving building material can be accurately captured. This non-uniform heat input is an important prerequisite for the generation of the heat capacity accumulation effect; secondly, by determining the heat flux uniformity on the surface of the energy-saving building material under each thermal boundary condition, the heating consistency of the energy-saving building material in the non-steady-state heat conduction process can be reflected. The worse the heat flux uniformity, the different local heating intensity of the energy-saving building material, and the significant difference in the heat accumulation speed and path inside the energy-saving building material; then, the response delay analysis of the thermal response process of the energy-saving building material is performed to obtain the delay constraint condition of the thermal response between the surface and the back of the energy-saving building material. The delay constraint condition reflects the slow diffusion of heat and the large heat capacity of the energy-saving building material in the non-steady-state heat transfer process. The delayed release phenomenon is the core manifestation of the heat capacity accumulation effect. By establishing delayed constraints on the thermal response, the color mapping and heat field evolution can be made to match the actual thermal inertia process more accurately, thereby truly restoring the entire process of heat accumulation and dynamic transmission inside the material. Furthermore, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is graded and suppressed to obtain a graded suppression degree for each color mapping value. The graded suppression degree can introduce a heat conduction regulation mechanism at the visual expression level, which can effectively weaken the simulation image jump caused by drastic instantaneous heat changes, making the gradual change process of the thermal response smoother and more natural, in line with the real physical phenomenon of slow heat accumulation and delayed release in the heat capacity accumulation process, thereby enhancing the visual continuity of the heat capacity accumulation effect. Finally, based on the graded suppression degree of the color mapping value at the current simulation step, the color mapping diagram at the next simulation step is adjusted to output the simulation visualization results of the thermal insulation performance of energy-saving building materials. In summary, the solution of the present application can realize the visualization of the heat capacity accumulation effect generated by energy-saving building materials under transient non-steady-state heat conduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is an exemplary flow chart of a method for simulating and visualizing the thermal insulation performance of energy-saving building materials according to some embodiments of the present application;

[0044] Figure 2 is a schematic diagram of a process for determining delay constraints according to some embodiments of the present application;

[0045] Figure 3 is a schematic diagram of a process for determining a hierarchical inhibition degree according to some embodiments of the present application;

[0046] Figure 4is a schematic structural diagram of a simulation visualization unit according to some embodiments of the present application;

[0047] Figure 5 It is a structural diagram of a computer device for realizing a method for visualizing simulation of thermal insulation performance of energy-saving building materials according to some embodiments of the present application. DETAILED DESCRIPTION

[0048] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0049] refer to Figure 1 , which is an exemplary flow chart of a method for simulating and visualizing the thermal insulation performance of energy-saving building materials according to some embodiments of the present application. The method for simulating and visualizing the thermal insulation performance of energy-saving building materials mainly includes the following steps:

[0050] In step 101, heat flux density data of the surface of energy-saving building materials under different thermal boundary conditions are obtained.

[0051] It should be noted that the thermal boundary conditions described in this application represent the heat exchange conditions between energy-saving building materials and the external environment. The thermal boundary conditions specifically include convection boundary conditions, radiation boundary conditions and periodic boundary conditions. Among them, the convection boundary conditions indicate that there is a convection relationship between the temperature of energy-saving building materials and the ambient temperature. The radiation boundary conditions indicate that the energy-saving building materials exchange heat with the environment through thermal radiation heat exchange. The periodic boundary conditions indicate that the temperature of energy-saving building materials changes periodically over time.

[0052] In the specific implementation, first, a three-dimensional modeling software (such as SolidWorks software) is used to construct a geometric model of the energy-saving building material, and the geometric model is imported into the simulation engine; secondly, the thermal physical parameters of the energy-saving building material are set in the simulation engine, wherein the thermal physical parameters specifically include parameters such as thermal conductivity, specific heat capacity, density, thermal diffusivity and heat capacity, and different thermal boundary conditions are set in the simulation engine; then, the energy-saving building material is simulated by the simulation engine, and the heat flux density at different sampling points on the surface of the geometric model of the energy-saving building material under different thermal boundary conditions is obtained during the heat conduction simulation process, and the data composed of all the heat flux densities obtained under the different thermal boundary conditions is used as the heat flux density data of the surface of the energy-saving building material under the different thermal boundary conditions. In addition, the temperature of different sampling points on the surface and back of the geometric model of the energy-saving building material under the different thermal boundary conditions is obtained during the heat conduction simulation process, and the data composed of all the temperature components obtained under the different thermal boundary conditions are used as the temperature data of the surface and back of the energy-saving building material under the different thermal boundary conditions.

[0053] It should be noted that the heat flux density data described in this application represents the data of heat flux density at different sampling points on the surface of energy-saving building materials changing with time.

[0054] In addition, it should be noted that the temperature data described in this application represents the data of temperature changes over time at different sampling points on the surface or back of energy-saving building materials, wherein the different sampling points on the back of the energy-saving building materials correspond one-to-one to the different sampling points on the back of the geometric model of the energy-saving building materials, and the different sampling points on the surface of the energy-saving building materials correspond one-to-one to the different sampling points on the surface of the geometric model of the energy-saving building materials.

[0055] In step 102, the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition is extracted from all heat flux density data, and then the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition is determined.

[0056] In some embodiments, extracting the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition from all heat flux density data can be achieved by the following steps:

[0057] For each thermal boundary condition;

[0058] Based on the heat flux density data of the energy-saving building material surface under thermal boundary conditions, the fluctuation characteristics of the heat flux density at the sampling points on the energy-saving building material surface under thermal boundary conditions are determined;

[0059] According to the fluctuation characteristics of the heat flux density at the sampling points on the surface of energy-saving building materials under thermal boundary conditions, the heat flux density at adjacent sampling points on the surface of energy-saving building materials under thermal boundary conditions is interpolated to obtain the heat flux density distribution on the surface of energy-saving building materials under thermal boundary conditions.

[0060] It should be noted that the fluctuation characteristics described in this application represent the degree of change in heat flux density in a local spatial area; the heat flux density distribution represents the spatial distribution of heat flux density at various spatial positions on the surface of energy-saving building materials under thermal boundary conditions.

[0061] In the specific implementation, first, based on the heat flux density data of the energy-saving building material surface under the thermal boundary condition, the fluctuation characteristics of the heat flux density at the sampling point on the energy-saving building material surface under the thermal boundary condition can be determined in the following way, namely: select a sampling point on the energy-saving building material surface as the selected sampling point, obtain the heat flux density of the sampling point adjacent to the selected sampling point from the heat flux density data of the energy-saving building material surface under the thermal boundary condition, calculate the variance of the heat flux density of all adjacent sampling points, and use the obtained variance as the fluctuation characteristics of the heat flux density at the selected sampling point on the energy-saving building material surface under the thermal boundary condition, and continue to determine the fluctuation characteristics of the heat flux density at the remaining sampling points on the energy-saving building material surface under the thermal boundary condition; secondly, the fluctuation characteristics of the heat flux density at the sampling point on the energy-saving building material surface under the thermal boundary condition are used to calculate the heat flux density of the energy-saving building material surface under the thermal boundary condition. The heat flux density at adjacent sampling points on the surface of energy-saving building materials under boundary conditions is interpolated to obtain the heat flux density distribution on the surface of energy-saving building materials under thermal boundary conditions. This can be achieved in the following way: calculate the median of all fluctuation characteristics, and use the obtained median as the fluctuation threshold. If the fluctuation characteristics of the heat flux density at the sampling points on the surface of energy-saving building materials are less than the fluctuation threshold, then use the weighted nearest neighbor interpolation method to interpolate the heat flux density at adjacent sampling points on the surface of energy-saving building materials. If the fluctuation characteristics of the heat flux density at the sampling points on the surface of energy-saving building materials are greater than or equal to the fluctuation threshold, then use the spline interpolation method to interpolate the heat flux density at adjacent sampling points on the surface of energy-saving building materials, and then use the distribution composed of the interpolation results of all heat flux densities as the heat flux density distribution on the surface of energy-saving building materials under thermal boundary conditions.

[0062] In some embodiments, determining the heat flux uniformity of the surface of the energy-saving building material under each thermal boundary condition can be achieved by the following steps:

[0063] Determine the heat flux concentration of the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition;

[0064] The heat flux uniformity of the energy-saving building material surface under each thermal boundary condition is determined based on the coefficient of variation of the heat flux density in the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition and the heat flux concentration of the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition.

[0065] It should be noted that the heat flux concentration degree mentioned in this application refers to the degree of concentration of heat flux in the heat flux density distribution; the heat flux uniformity refers to the uniformity of heat flux distribution on the surface of energy-saving building materials under thermal boundary conditions.

[0066] In specific implementation, first, the heat flux aggregation degree of the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition is determined, which can be achieved in the following way: for each heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition, a density-based spatial clustering algorithm is used to identify multiple high-density areas of the heat flux density distribution, and then the clustering density of each high-density area is calculated (for example, the average distance within the class is used for measurement), and then all clustering densities are normalized, and all values ​​obtained after normalization are averaged, and the average is used as the heat flux aggregation degree of the heat flux density distribution on the surface of energy-saving building materials under the corresponding thermal boundary condition, thereby obtaining the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition. secondly, determining the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition according to the coefficient of variation of the heat flux density in the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition and the heat flux concentration of the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition can be achieved in the following manner, namely: multiplying the coefficient of variation of the heat flux density in the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition by the heat flux concentration of the heat flux density distribution on the energy-saving building material surface under the corresponding thermal boundary condition, and using the multiplied value as the heat flux uniformity of the energy-saving building material surface under the corresponding thermal boundary condition, thereby obtaining the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition.

[0067] In step 103, the temperature data of the surface and back of the energy-saving building material under different thermal boundary conditions are obtained, and the response delay analysis of the thermal response process of the energy-saving building material is performed through the temperature gradient of each temperature data at different times to obtain the delay constraint conditions of the thermal response between the surface and back of the energy-saving building material.

[0068] In some embodiments, reference Figure 2 As shown in FIG, this figure is a schematic diagram of the process of determining the delay constraint condition in some embodiments of the present application. In this embodiment, the response delay analysis of the thermal response process of the energy-saving building material is performed by the temperature gradient of each temperature data at different times. The delay constraint condition of the thermal response between the surface and back of the energy-saving building material is obtained by the following steps:

[0069] First, in step 1031, the temperature gradient response thresholds of the front and back surfaces of the energy-saving building material during the thermal response process are determined based on the temperature gradients of each temperature data at different times;

[0070] Next, in step 1032, a reference time delay when the temperature of the back of the energy-saving building material reaches a stable state for the first time is extracted from the temperature data of the back of the energy-saving building material;

[0071] Then, in step 1033, based on the temperature data of the surface and back of the energy-saving building material, the temperature response coefficient between the surface and back of the energy-saving building material at the same time step is extracted;

[0072] Finally, in step 1034, the reference delay is constrained by analyzing the temperature response coefficient and the temperature gradient response threshold of the surface and back of the energy-saving building material during the thermal response process to obtain the delay constraint condition of the thermal response between the surface and back of the energy-saving building material.

[0073] It should be noted that the temperature gradient response threshold value described in this application represents the boundary value for distinguishing temperature gradient changes during the heat conduction process; the reference delay represents the response time required for heat to be transferred from the surface of the energy-saving building material to the back to reach thermal equilibrium; the temperature response coefficient represents the response speed of the temperature difference during the process of heat transfer from the surface to the back of the energy-saving building material; the delay constraint condition represents the constraint parameter for the time delay caused by the heat capacity accumulation effect in the thermal response process on the back temperature caused by the surface temperature change of the energy-saving building material.

[0074] In specific implementation, first, the temperature gradient response threshold of the surface and back of the energy-saving building material during the thermal response process is determined according to the temperature gradient of each temperature data at different times. This can be achieved in the following way, namely: for the temperature data on the surface of the energy-saving building material, the temperature gradient of the temperature data at different times is combined into a temperature gradient sequence, and the temperature gradient sequence is smoothly fitted by kernel density estimation to obtain a smooth fitting curve, and the temperature gradient corresponding to the main inflection point on the smooth fitting curve (the maximum drop point between the left main peak and the right tail of the smooth fitting curve) is used as the temperature gradient response threshold of the surface of the energy-saving building material during the thermal response process; similarly, the temperature gradient response threshold of the back of the energy-saving building material during the thermal response process can be obtained; secondly, the reference time delay when the temperature of the back of the energy-saving building material first reaches a stable state is extracted from the temperature data on the back of the energy-saving building material. This can be achieved in the following way, namely: the temperature data on the back of the energy-saving building material are curve fitted using an existing linear fitting algorithm (such as a least squares support vector machine algorithm), and the curve obtained by the curve fitting is used as the temperature fitting curve, and then the temperature residual is calculated for all fitting values ​​on the temperature fitting curve and the temperature data. The difference is obtained, thereby obtaining multiple temperature residual values, and then all the temperature residual values ​​are arranged in the order of arrangement of the temperature data, and the obtained sequence is used as the temperature residual sequence. Based on the sliding window mechanism, the temperature residual sequence is slidingly processed, and the mean of the temperature residual values ​​in the sliding window is calculated within each sliding step. When the obtained mean value is lower than the preset temperature residual change threshold for the first time, the difference between the time corresponding to this moment and the start time is used as the reference time delay when the temperature on the back of the energy-saving building material first reaches a stable state; then, based on the temperature data of the surface and back of the energy-saving building material, the temperature response coefficient between the surface and back of the energy-saving building material at the same time step is extracted. This can be achieved in the following way, namely: first normalize the temperature data on the surface of the energy-saving building material and the temperature data on the back of the energy-saving building material, then obtain the normalized surface temperature and back temperature at the same time step, calculate the negative exponential function with the natural logarithm e as the base of the value obtained by taking the difference between the normalized surface temperature and the back temperature, and then use the value obtained after calculating the negative exponential function with the natural logarithm e as the base of the temperature response coefficient between the surface and back of the energy-saving building material at the same time step;Finally, the reference time delay is constrained by analyzing the temperature response coefficient and the temperature gradient response threshold between the front and back surfaces of the energy-saving building material during the thermal response process. The delay constraint condition for the thermal response between the front and back surfaces of the energy-saving building material can be obtained by obtaining the thermal response time constant of the energy-saving building material, dividing the reference time delay by the thermal response time constant, and using the resulting value as the response delay coefficient. Furthermore, the temperature gradient response threshold of the front surface of the energy-saving building material during the thermal response process is divided by the temperature gradient response threshold of the back surface of the energy-saving building material during the thermal response process, and using the resulting value as the temperature gradient constraint coefficient. The product of the response delay coefficient and the temperature gradient constraint coefficient is used as the delay constraint condition for the thermal response between the front and back surfaces of the energy-saving building material.

[0075] In step 104, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is graded and suppressed according to the delay constraint condition and all heat flow uniformities to obtain a graded suppression degree for each color mapping value.

[0076] In some embodiments, reference Figure 3 As shown, this figure is a schematic diagram of the process of determining the hierarchical suppression degree in some embodiments of the present application. In this embodiment, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is hierarchically suppressed according to the delay constraint condition and all heat flow uniformity. The hierarchical suppression degree of each color mapping value can be obtained by the following steps:

[0077] Determining the initial suppression weight of the color mapping value at each simulation step in the visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition;

[0078] The color mapping value at each simulation step is scaled by all heat flux uniformity to obtain the graded scaling ratio of the color mapping value at each simulation step during the visualization of the thermal insulation performance of energy-saving building materials.

[0079] The hierarchical scaling ratio of each color mapping value is suppressed according to the initial suppression weight of the color mapping value at each simulation step to obtain the hierarchical suppression degree of each color mapping value.

[0080] It should be noted that the color mapping value described in this application represents the mapping value between heat and color during the simulation visualization process; the initial suppression weight represents the parameter for the initial adjustment of the mapping intensity of the color mapping value; the graded scaling ratio represents the differentiation coefficient of the graded adjustment of the mapping intensity of the color mapping value; the graded suppression degree represents the degree of suppression when the visual effect of heat capacity accumulation is graded and visualized under the simulation step.

[0081] In the specific implementation, first, the initial suppression weight of the color mapping value under each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is determined according to the delay constraint condition. This can be achieved in the following way, namely: the color mapping value under each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is obtained from the simulation engine, the color mapping values ​​under all simulation steps are normalized, the negative exponent of the natural logarithm e is taken for the delay constraint condition, and the obtained value is multiplied by the normalized color mapping value under each simulation step, and the multiplied value is used as the initial suppression weight of the color mapping value under the corresponding simulation step. Secondly, the color mapping value under each simulation step is graded and scaled in the process of visualization of the thermal insulation performance of energy-saving building materials through all heat flux uniformity. The graded scaling ratio of the color mapping value under each simulation step can be achieved in the following way, namely: the K-means clustering algorithm is used (the K value is set to the total number of heat flux uniformity) to cluster the normalized color mapping values ​​under all simulation steps, and the clusters obtained by clustering are all used as color mapping value clusters, wherein the color mapping values ​​in the color mapping value clusters are all normalized color mapping values, and then all heat flux uniformity is normalized, and the normalized The heat flux uniformity is used as the heat flux uniform normalization value, and the heat flux uniform normalization value is selected according to the size of the color mapping value cluster (for example, if the color mapping value cluster is the smallest, the smallest heat flux uniform normalization value is selected from all heat flux uniform normalization values; if the color mapping value cluster is the largest, the largest heat flux uniform normalization value is selected from all heat flux uniform normalization values). For all normalized color mapping values ​​in the same color mapping value cluster, the quotient between the cluster center of the color mapping value cluster and the heat flux uniform normalization value selected from the color mapping value cluster is used as the hierarchical scaling ratio of each color mapping value in the same color mapping value cluster, thereby obtaining each color mapping value. The hierarchical scaling ratio of the color mapping value under each simulation step is obtained; then, the hierarchical scaling ratio of each color mapping value is suppressed according to the initial suppression weight of the color mapping value under each simulation step, and the hierarchical suppression degree of each color mapping value can be obtained in the following manner, namely: the initial suppression weight of the color mapping value is normalized, and the values ​​obtained after normalization are all used as the standard suppression weights of the color mapping value, and then the hierarchical suppression degree of each color mapping value is calculated using the following formula, namely: the hierarchical suppression degree of the color mapping value = the hierarchical scaling ratio of the color mapping value × (1-the standard suppression weight of the color mapping value).

[0082] In step 105, the color mapping diagram at the next simulation step is adjusted based on the graded suppression degree of the color mapping value at the current simulation step, and then the simulation visualization result of the thermal insulation performance of the energy-saving building material is output.

[0083] In some embodiments, adjusting the color map at the next simulation step based on the graded suppression of the color map value at the current simulation step may be achieved by the following steps:

[0084] Read the color map under the current simulation step;

[0085] The color saturation of the color map under the current simulation step is adjusted by the graded suppression degree of the color map value under the current simulation step, thereby generating the color map under the next simulation step.

[0086] It should be noted that the color mapping diagram described in this application represents an image showing the visual mapping effect of heat capacity accumulation.

[0087] In specific implementation, the color saturation of the color mapping image under the current simulation step is adjusted by the graded suppression degree of the color mapping value under the current simulation step, and then the color mapping image under the next simulation step is generated. This can be achieved in the following way, namely: the graded suppression degree of the color mapping value under the current simulation step is used as the weight factor of the color saturation of each pixel point in the color mapping image under the current simulation step, the color saturation of each pixel point in the color mapping image under the current simulation step is weighted by the weight factor, and the weighted color mapping image is used as the color mapping image under the next simulation step.

[0088] In some embodiments, outputting simulation visualization results of thermal insulation performance of energy-saving building materials can be achieved by using the following steps:

[0089] The color mapping images under all simulation steps are synthesized into a time-series animation to obtain a visualization animation of the thermal insulation performance of the energy-saving building material, and the visualization animation is used as a simulation visualization result of the thermal insulation performance of the energy-saving building material.

[0090] In the specific implementation, the Animation View module in the visualization software (such as ParaView) is used to synthesize all the color mapping images into a visualization animation in time sequence.

[0091] In addition, in another aspect of the present application, in some embodiments, the present application provides a virtual reality-based energy-saving building material application effect display system, the display system includes a simulation visualization unit, reference Figure 4 , which is a schematic diagram of the structure of a simulation visualization unit according to some embodiments of the present application. The simulation visualization unit 400 includes: an acquisition module 401, a processing module 402, and an execution module 403, which are described as follows:

[0092] Acquisition module 401, in this application, acquisition module 401 is mainly used to obtain heat flux density data on the surface of energy-saving building materials under different thermal boundary conditions;

[0093] Processing module 402, in this application, is used to extract the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition from all heat flux density data, and then determine the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition;

[0094] It should be noted that the processing module 402 in the present application is also used to obtain temperature data on the surface and back of the energy-saving building material under different thermal boundary conditions, and to perform response delay analysis on the thermal response process of the energy-saving building material through the temperature gradient of each temperature data at different times, thereby obtaining the delay constraint condition of the thermal response between the surface and back of the energy-saving building material;

[0095] It should be noted that the processing module 402 in the present application is also used to perform hierarchical suppression of the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition and all heat flow uniformity, and obtain the hierarchical suppression degree of each color mapping value;

[0096] Execution module 403, in this application, execution module 403 is mainly used to adjust the color mapping diagram under the next simulation step based on the graded suppression degree of the color mapping value under the current simulation step, and then output the simulation visualization results of the thermal insulation performance of energy-saving building materials.

[0097] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores code, and the processor is configured to obtain the code and execute the above-mentioned energy-saving building material thermal insulation performance simulation visualization method.

[0098] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a method for simulating and visualizing the thermal insulation performance of energy-saving building materials according to some embodiments of the present application. The method for simulating and visualizing the thermal insulation performance of energy-saving building materials in the above embodiments can be Figure 5 The computer device 500 shown in FIG. 5 is implemented as shown in FIG. 5 . The computer device 500 includes at least one processor 501 , a communication bus 502 , a memory 503 , and at least one communication interface 504 .

[0099] The processor 501 can be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more processors for controlling the execution of the method for simulating and visualizing the thermal insulation performance of energy-saving building materials in this application.

[0100] The communication bus 502 may be used to transmit information between the aforementioned components.

[0101] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 503 may be independent and connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0102] The memory 503 is used to store program code for executing the solution of the present application, and is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method described in the above method embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0103] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0104] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0105] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0106] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for simulating and visualizing the thermal insulation performance of energy-saving building materials.

[0107] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0108] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for simulating and visualizing the thermal insulation performance of energy-saving building materials, which performs thermal insulation performance simulation and visualization in an energy-saving building material application effect display system based on virtual reality, characterized in that: The method comprises the following steps: Obtain heat flux density data on the surface of energy-saving building materials under different thermal boundary conditions; Extract the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition from all heat flux density data, and then determine the heat flux uniformity on the surface of energy-saving building materials under each thermal boundary condition; Obtain temperature data on the surface and back of energy-saving building materials under different thermal boundary conditions, analyze the response delay of the thermal response process of energy-saving building materials through the temperature gradient of each temperature data at different times, and obtain the delay constraint conditions of the thermal response between the surface and back of energy-saving building materials; According to the delay constraint condition and all heat flow uniformity, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is graded and suppressed to obtain the graded suppression degree of each color mapping value; Based on the graded suppression degree of the color mapping value at the current simulation step, the color mapping diagram at the next simulation step is adjusted, and then the simulation visualization results of the thermal insulation performance of energy-saving building materials are output; The response delay analysis of the thermal response process of energy-saving building materials is carried out through the temperature gradient of each temperature data at different times. The delay constraints of the thermal response between the surface and back of the energy-saving building materials are obtained, which specifically include: Determine the temperature gradient response thresholds of the surface and back of the energy-saving building material during the thermal response process based on the temperature gradient of each temperature data at different times; Extracting the benchmark time delay when the temperature on the back of the energy-saving building material reaches a stable state for the first time from the temperature data on the back of the energy-saving building material; Based on the temperature data of the surface and back of energy-saving building materials, the temperature response coefficient between the surface and back of energy-saving building materials at the same time step is extracted; The reference time delay is constrained by analyzing the temperature response coefficient and the temperature gradient response threshold of the surface and back of the energy-saving building material during the thermal response process, and the delay constraint condition of the thermal response between the surface and back of the energy-saving building material is obtained.

2. The method according to claim 1, wherein Extracting the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition from all heat flux density data specifically includes: For each thermal boundary condition; Based on the heat flux density data of the energy-saving building material surface under thermal boundary conditions, the fluctuation characteristics of the heat flux density at the sampling points on the energy-saving building material surface under thermal boundary conditions are determined; According to the fluctuation characteristics of the heat flux density at the sampling points on the surface of energy-saving building materials under thermal boundary conditions, the heat flux density at adjacent sampling points on the surface of energy-saving building materials under thermal boundary conditions is interpolated to obtain the heat flux density distribution on the surface of energy-saving building materials under thermal boundary conditions.

3. The method according to claim 1, wherein Then determine the heat flow uniformity of the energy-saving building material surface under each thermal boundary condition, specifically including: Determine the heat flux concentration of the heat flux density distribution on the surface of energy-saving building materials under each thermal boundary condition; The heat flux uniformity of the energy-saving building material surface under each thermal boundary condition is determined based on the coefficient of variation of the heat flux density in the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition and the heat flux concentration of the heat flux density distribution on the energy-saving building material surface under each thermal boundary condition.

4. The method according to claim 1, wherein According to the delay constraint and all heat flow uniformity, the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials is hierarchically suppressed, and the hierarchical suppression degree of each color mapping value is obtained specifically including: Determining the initial suppression weight of the color mapping value at each simulation step in the visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition; The color mapping value at each simulation step is scaled by all heat flux uniformity to obtain the graded scaling ratio of the color mapping value at each simulation step during the visualization of the thermal insulation performance of energy-saving building materials. The hierarchical scaling ratio of each color mapping value is suppressed according to the initial suppression weight of the color mapping value at each simulation step to obtain the hierarchical suppression degree of each color mapping value.

5. The method according to claim 1, wherein Adjusting the color mapping graph for the next simulation step based on the graded suppression of the color mapping value for the current simulation step specifically includes: Read the color map under the current simulation step; The color saturation of the color map under the current simulation step is adjusted by the graded suppression degree of the color map value under the current simulation step, thereby generating the color map under the next simulation step.

6. The method according to claim 1, wherein Output simulation visualization results of thermal insulation performance of energy-saving building materials include: The color mapping images under all simulation steps are synthesized into a time-series animation to obtain a visualization animation of the thermal insulation performance of the energy-saving building material, and the visualization animation is used as a simulation visualization result of the thermal insulation performance of the energy-saving building material.

7. The method according to claim 1, wherein The thermal boundary conditions specifically include convection boundary conditions, radiation boundary conditions and periodic boundary conditions.

8. The method according to claim 1, wherein The color map represents an image showing the visual mapping effect of heat capacity accumulation.

9. A virtual reality-based display system for energy-saving building materials application effects, the display system comprising a simulation visualization unit, the simulation visualization unit using the method according to any one of claims 1 to 8 to simulate and visualize the thermal insulation performance of energy-saving building materials, characterized in that: The simulation visualization unit includes: Acquisition module, used to obtain heat flux density data on the surface of energy-saving building materials under different thermal boundary conditions; A processing module is used to extract the heat flux density distribution of the energy-saving building material surface under each thermal boundary condition from all heat flux density data, and then determine the heat flux uniformity of the energy-saving building material surface under each thermal boundary condition; The processing module is further used to obtain temperature data on the surface and back of the energy-saving building material under different thermal boundary conditions, perform response delay analysis on the thermal response process of the energy-saving building material through the temperature gradient of each temperature data at different times, and obtain the delay constraint condition of the thermal response between the surface and back of the energy-saving building material; The processing module is further configured to perform hierarchical suppression of the color mapping value at each simulation step in the simulation visualization process of the thermal insulation performance of energy-saving building materials according to the delay constraint condition and all heat flow uniformities, thereby obtaining a hierarchical suppression degree for each color mapping value; The execution module is used to adjust the color mapping diagram under the next simulation step based on the hierarchical suppression degree of the color mapping value under the current simulation step, and then output the simulation visualization results of the thermal insulation performance of energy-saving building materials.

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