A method for improving the performance of the exterior facade of a green and environmentally friendly substation

Abstract

This invention discloses a green and environmentally friendly method for improving the performance of substation facades, belonging to the field of facade performance optimization technology. The method includes: scanning the substation facade to obtain heat conduction-sensitive areas, constructing a facade thermal field and identifying thermal field distortion; constructing a layered thermal conductivity calculation model to calculate the thermal conductivity of facade materials within and outside the thermal field distortion domain in layers, and filtering out distortion deviation domains; extracting thermal bridge-sensitive domains, and determining whether the distortion deviation domains, heat conduction-sensitive areas, and thermal bridge-sensitive domains are spatially coupled by calculating the global Moran's index; if coupled, extracting the intersection as a spatial coupling domain, and formulating different facade performance optimization strategies for different material types within the spatial coupling domain; this invention can locate thermal problem areas, formulate targeted optimization strategies, improve facade thermal insulation performance, reduce energy consumption and carbon emissions, and achieve green and environmentally friendly goals.

Description

Technical Field

[0001] This invention relates to the field of facade performance optimization technology, specifically to a method for improving the facade performance of a green and environmentally friendly substation. Background Technology

[0002] As the core hub of the power system, the performance of the substation's facade directly affects the stability of equipment operation and energy consumption. Existing technologies have many shortcomings in improving facade performance.

[0003] Current technologies rely on manual experience or single-point temperature measurements to identify geometrically abrupt changes in heat-sensitive areas of substation facades, such as corners, metal frame connections, and material seams. They cannot accurately pinpoint areas of abnormally concentrated heat flow through systematic thermal field analysis. For example, the difference in thermal conductivity between the metal frame and the insulation layer naturally creates a thermal bridge effect, but traditional methods struggle to quantify the heat flux density distribution. This results in a persistently high risk of equipment failure in critical areas such as relay rooms due to localized high temperatures.

[0004] Existing technologies often create high-risk areas due to spatial overlap in historical thermal bridge high-frequency regions, heat conduction sensitive regions, and distortion deviation regions. However, existing technologies have not established a spatial correlation analysis method for these three areas. For example, the metal keel connection point (heat conduction sensitive region) on the exterior facade of a substation simultaneously suffers from insulation layer failure (distortion deviation region) and historical condensation problems (thermal bridge sensitive region). However, traditional renovation methods fail to identify this coupled region, leading to repeated occurrences of the same type of defect and failure to achieve the expected energy consumption reduction effect, resulting in resource waste and hindering the realization of a green and environmentally friendly transformation of the substation facade.

[0005] Therefore, the present invention provides a method for improving the performance of the exterior facade of a green and environmentally friendly substation. Summary of the Invention

[0006] The purpose of this invention is to provide a green and environmentally friendly method for improving the performance of the exterior facade of a substation, so as to solve at least one of the above-mentioned problems in the prior art.

[0007] A method for improving the performance of the exterior facade of a green and environmentally friendly substation includes the following steps:

[0008] The exterior facade of the substation is scanned, and the thermal field of the facade is plotted. Based on the thermal field of the facade, the thermal field distortion of the facade is identified, and the thermal field distortion domain is extracted.

[0009] A layered calculation model for thermal conductivity was constructed to calculate the thermal conductivity of the materials on the inner and outer facades in the thermal field distortion domain in layers, obtaining the thermal conductivity of each material layer. The thermal field distortion domains whose thermal conductivity of the material layer deviates from the standard range were then screened to obtain the distortion deviation domains.

[0010] The thermal bridge sensitive area of ​​the substation facade is obtained, and the spatial location coupling analysis of the distortion deviation area, the heat conduction sensitive area, and the thermal bridge sensitive area is performed to determine whether the distortion deviation area, the heat conduction sensitive area, and the thermal bridge sensitive area are spatially coupled.

[0011] If the spatial locations of the distortion deviation domain, the heat conduction sensitive area, and the thermal bridge sensitive domain are coupled, formulate strategies to improve and optimize the facade performance.

[0012] As a further technical solution of the present invention: the method for extracting the thermal distortion domain is as follows:

[0013] The heat conduction sensitive areas of the facade are identified. Different temperature monitoring points and different scanning step sizes are set for the main area of ​​the facade and the heat conduction sensitive areas of the facade to perform a comprehensive temperature scan of the facade.

[0014] Based on the surface temperature of different temperature monitoring points on the exterior of the substation, calculate the temperature gradient between adjacent temperature monitoring points;

[0015] A thermal field of the exterior facade is constructed based on the temperature gradient between adjacent temperature monitoring points.

[0016] Distortion analysis of the thermal field of the facade was performed to obtain the thermal distortion domain.

[0017] As a further technical solution of the present invention: the distortion analysis process is as follows:

[0018] The thermal field of the exterior facade is meshed, and the percentage of temperature gradient deviation between adjacent meshes is calculated.

[0019] If the temperature gradient deviation between adjacent grids is higher than the preset distortion threshold, the grid boundary between adjacent grids will be used as the distortion boundary.

[0020] Obtain all the distortion boundaries of the temperature gradient field on the facade, and connect the distortion boundaries end to end with closed curves to construct the thermal distortion domain.

[0021] As a further technical solution of the present invention: the distortion deviation domain is obtained in the following way:

[0022] Obtain the exterior thermal insulation layer material corresponding to the thermal field distortion domain, construct a layered calculation model for thermal conductivity, and obtain the thermal conductivity of the material layer;

[0023] Obtain the standard range of thermal conductivity, calculate the thermal conductivity of the material layer based on the thermal conductivity layer calculation model, and mark the thermal field distortion domain corresponding to the material layer as the distortion deviation domain if the thermal conductivity of the material layer deviates from the standard range.

[0024] As a further technical solution of the present invention: the method for constructing the layered calculation model of thermal conductivity is as follows:

[0025] Obtain the exterior facade material type corresponding to the thermal distortion domain;

[0026] Calculation of thermal conductivity of a single homogeneous material layer;

[0027] Calculation of thermal conductivity of material layers in multilayer composite structures.

[0028] As a further technical solution of the present invention: the thermal conductivity of the material layers of the multilayer composite structure material is calculated as follows:

[0029] The material layers in the thermal distortion domain are divided into layers with known thermal conductivity and layers with unknown thermal conductivity.

[0030] If the thermal conductivity of a layer is known, the thermal conductivity of the unknown layer in the thermal distortion domain can be deduced.

[0031] As a further technical solution of the present invention: the method for determining whether the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region are spatially coupled is as follows:

[0032] After obtaining the thermal field of the exterior facade and dividing it into grids, the spatial position of the grids is calculated, and the binary variables of the grid spatial position are calculated.

[0033] Based on the binary variables of the grid and the spatial weight matrix of the grid, the global Moran index of the grid is obtained through the global Moran index formula;

[0034] If the global Moran index is positive, then the three regions of thermal bridge sensitive region, thermal conduction sensitive region, and distortion deviation region are considered to exhibit spatial coupling.

[0035] As a further technical solution of the present invention: the method for obtaining the thermal bridge sensitive region is as follows:

[0036] The areas where thermal bridging effects are concentrated on the facades of multiple substations are extracted from historical monitoring data and designated as thermal bridging sensitive areas.

[0037] As a further technical solution of the present invention: the spatial weight matrix of the grid is constructed as follows:

[0038] Obtain the heat flux density of all grids and perform normalization. Calculate the percentage of heat flux density deviation between grids i and j as the spatial weight from grid i to j, and construct the spatial weight matrix of the grids.

[0039] Where i and j are the grid numbers.

[0040] As a further technical solution of the present invention: the method for formulating the facade performance improvement and optimization strategy is as follows:

[0041] If the distortion off-domain, the heat conduction sensitive region, and the thermal bridge sensitive domain are spatially coupled, extract the spatially coupled domain.

[0042] Obtain the material type of the substation facade within the spatial coupling domain, and formulate different performance improvement and optimization strategies based on different material types.

[0043] As a further technical solution of the present invention: the method for extracting the spatial coupling domain is as follows:

[0044] The intersection of the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region is extracted as the spatial coupling domain.

[0045] As a further technical solution of the present invention: the method for formulating different types of performance improvement and optimization strategies is as follows:

[0046] If the spatial coupling domain is a single homogeneous material, it is covered with an environmentally friendly material that meets the thermal conductivity requirements;

[0047] If the distortion deviates from the corresponding multilayer composite structure material, calculate the ratio of the thermal resistance of a single material layer to the total thermal resistance to obtain the single-layer thermal resistance ratio.

[0048] Multilayer composite materials were sorted according to their single-layer thermal resistance ratio, and materials whose layer thermal conductivity deviated from the standard range were screened out.

[0049] The material with the lowest single-layer thermal resistance ratio and whose thermal conductivity deviates from the standard range is selected as the distortion optimization material. The thickness of the material is increased or the material is replaced with one that meets the standard range of thermal conductivity.

[0050] The beneficial effects of this invention are:

[0051] 1. By using high-precision thermal imaging equipment to perform differential scanning on the exterior of the substation, combined with temperature gradient calculation and mesh generation, thermal distortion domains with higher heat flux density than the main wall can be identified. This helps to address the problem of hidden thermal defects that traditional visual inspection cannot detect. At the same time, material performance is quantitatively analyzed: a layered thermal conductivity calculation model is constructed to calculate the thermal conductivity of a single material layer within the thermal distortion domain. The thermal conductivity of unknown layers in the multi-layer structure is then inferred through a thermal resistance series model. After comparing with the standard values ​​of the materials, distortion deviation domains that deviate from the standard thermal conductivity are screened out, providing precise targets for subsequent optimization.

[0052] 2. The spatial correlation of the thermal bridge sensitive area, the heat conduction sensitive area, and the distortion deviation area is quantified by the global Moran index. When the global Moran index is positive, the intersection of the three is extracted as the spatial coupling domain. This ensures that the optimization focuses on the three high-risk areas of the facade: "heat flow concentration channels, abnormal material performance, and high incidence of historical failures", thereby reducing ineffective investment in non-coupling areas.

[0053] 3. Differentiated treatment of material categories: For areas with a single uniform material: directly cover with low thermal conductivity environmentally friendly materials such as aerogel felt or vacuum insulation board to quickly repair the problem of insufficient insulation of a single material, such as polyurethane foam board. For multi-layer composite structure areas: sort by the thermal resistance ratio of single layers in ascending order to locate the distortion optimization material with the smallest contribution to thermal resistance and abnormal thermal conductivity. For example, prioritize replacing the aging insulation layer with the lowest thermal resistance ratio or adding nylon insulation pads to block the thermal bridge of the metal keel, thereby increasing the total thermal resistance of the multi-layer structure and reducing the heat flux density. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart of a method for improving the performance of the exterior facade of a green and environmentally friendly substation provided by the present invention;

[0056] Figure 2 This is a flowchart illustrating the construction method of the layered calculation model for thermal conductivity provided by the present invention;

[0057] Figure 3 This is a flowchart of a green and environmentally friendly substation facade performance improvement system provided in Embodiment 3 of the present invention; Detailed Implementation

[0058] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0059] Example 1

[0060] like Figure 1 As shown in the figure, the present invention provides a method for improving the performance of the exterior facade of a green and environmentally friendly substation, which specifically includes the following steps:

[0061] Step 1: Scan the exterior of the substation, plot the thermal field of the exterior, identify the thermal distortion of the exterior based on the thermal field, and extract the thermal distortion domain.

[0062] The specific process for constructing the exterior facade heat field is as follows:

[0063] The heat conduction sensitive areas of the facade are identified, including: the internal and external corners of the facade, corner areas, the connection between the metal keel and the supporting structure, the geometric abrupt nodes of the facade, and the material interface transition areas formed by the splicing seams of materials with different thermal conductivity.

[0064] To help understand this, setting up heat conduction-sensitive areas is a core aspect of optimizing the thermal performance of the substation facade. Due to the geometrical abrupt changes at the corners, keel connections, and around through-wall pipes on the substation facade, heat flow concentration channels are naturally formed due to differences in the thermal conductivity of materials (e.g., the thermal conductivity of metal keel differs from that of insulation layer by 10,000 times). The heat flow density is 20% to 60% higher than that of the main wall.

[0065] Setting up heat conduction sensitive areas can identify areas with heat conduction defects in advance, reducing the possibility of equipment failure in substations caused by local high temperatures (such as thermal bridges on the walls of relay rooms causing room temperature to exceed 35°C).

[0066] Distinguishing the heat-sensitive areas of the substation's exterior facade from the heat conduction-sensitive areas, other areas of the substation's exterior facade are marked as the main area;

[0067] Preferably, by means of a high-precision thermal imaging device, such as a professional thermal imager with a resolution of ≥640×480 and a temperature measurement accuracy of ±0.1℃, temperature monitoring points are set in the main area of ​​the facade and the heat conduction sensitive area of ​​the facade, and different scanning steps are set to perform a comprehensive scan of the temperature of the facade.

[0068] The different scanning step length settings are as follows: the scanning step length of the thermal imaging device in the main area of ​​the exterior facade is 50mm, and the scanning step length in the heat conduction sensitive area is set to 25mm. The thermal imaging device collects the surface temperature of each temperature monitoring point on the exterior facade row by row and column by column according to the scanning step length.

[0069] Based on the surface temperature of different temperature monitoring points on the exterior of the substation, calculate the temperature gradient between adjacent temperature monitoring points;

[0070] A thermal field of the exterior facade is constructed based on the temperature gradient between adjacent temperature monitoring points.

[0071] Those skilled in the art will understand that after obtaining the surface temperature of different temperature monitoring points on the exterior of the substation, the temperature gradient between adjacent temperature monitoring points is calculated, and these temperature gradient data are arranged in an orderly manner according to the spatial location of the monitoring points, so that each location corresponds to a specific temperature gradient value, thereby characterizing the direction and rate of heat transfer at that location, and thus forming an exterior thermal field that can reflect the heat distribution and transfer status of the entire exterior.

[0072] The method for identifying thermal distortion on the facade is as follows:

[0073] The thermal field of the exterior facade is meshed, and the percentage of temperature gradient deviation between adjacent meshes is calculated.

[0074] The percentage of temperature gradient deviation between adjacent grids is compared with a preset distortion threshold.

[0075] If the temperature gradient deviation between adjacent grids is higher than the preset distortion threshold, the grid boundary between adjacent grids will be used as the distortion boundary.

[0076] Obtain all the distortion boundaries of the temperature gradient field on the facade, and connect the distortion boundaries end to end with closed curves to construct the thermal distortion domain.

[0077] It should be noted that the purpose of identifying thermal field distortion is as follows:

[0078] Function 1: Locating thermal defect areas. Identifying thermal distortion involves high-precision thermal imaging scanning of the substation's exterior facade, combined with temperature gradient analysis, to locate thermal distortion domains where heat flow is abnormally concentrated and temperatures significantly deviate from the main body area. These distortion domains typically correspond to geometrically abrupt nodes on the facade (such as corners, metal frame connections) or material interface transition zones (joints of materials with different thermal conductivity), which are high-risk areas for heat conduction defects. Through mesh generation and temperature gradient deviation calculation, these latent defects can be transformed into visualized distortion boundaries and domains, providing clear spatial targets for subsequent targeted optimization.

[0079] Secondly, it enhances the thermal insulation performance of the facade. The construction of the thermal distortion domain provides a target area for layered calculation of thermal conductivity. By analyzing the thermal conductivity of the material layers within the distortion domain, distortion deviation domains that deviate from the standard can be identified. This allows for the development of material replacement or thickness adjustment strategies for these areas (such as covering with environmentally friendly materials with low thermal conductivity or optimizing the thermal resistance distribution of multi-layer composite structures). This process directly improves the overall thermal insulation performance of the facade, reduces heat transfer through defective areas, and helps reduce the indoor cooling or heating load of the substation, thus contributing to the construction of energy-saving and environmentally friendly substations.

[0080] Thirdly, it supports green and energy-saving renovations. Identifying thermal distortion is a technical step in achieving a "green and environmentally friendly substation." By locating thermal defects, blind renovations can be avoided, and resource utilization efficiency can be improved (e.g., material replacement only for the distortion area, rather than a complete facade renovation). At the same time, the application of environmentally friendly materials (such as aerogel and recycled glass wool) helps to improve thermal performance while reducing carbon and pollutant emissions during the renovation process, which is in line with the concept of green building.

[0081] Step 2: Construct a layered calculation model for thermal conductivity, perform layered calculations on the thermal conductivity of the interior and exterior facade materials in the thermal field distortion domain, obtain the thermal conductivity of each material layer, and filter the thermal field distortion domains whose thermal conductivity of the material layer deviates from the standard range to obtain the distortion deviation domains.

[0082] In some embodiments, the heat flux density q of the facade material is obtained by a heat flux density meter;

[0083] Obtain the material of the exterior facade material layer corresponding to the thermal field distortion domain, construct a layered calculation model for thermal conductivity, and obtain the thermal conductivity of the material layer;

[0084] like Figure 2 As shown, the construction method of the layered calculation model for thermal conductivity is as follows:

[0085] S1. Obtain the exterior material type corresponding to the thermal distortion domain;

[0086] The materials used for the exterior facade of substations are classified into single homogeneous materials and multi-layer composite structural materials.

[0087] Understandably, a single homogeneous material refers to an exterior facade area composed of the same material, whose thermal conductivity is... Uniform and consistent, for example, a section of a facade is made of only a single insulation material, polyurethane foam board, and is therefore a single uniform material;

[0088] Multilayer composite structural materials are composed of layers of materials with different thermal conductivity, such as insulation layers, adhesive layers, and decorative layers. Each layer of a multilayer composite structural material has a different thermal resistance, and the thermal conductivity needs to be calculated using a thermal resistance series model.

[0089] S2. Calculation of thermal conductivity of a single homogeneous material layer;

[0090] Through the formula: Obtaining the thermal conductivity of a single homogeneous material ;

[0091] Where q is the heat flux density. For material layer thickness, This refers to the temperature difference between the inner and outer sides of the material layer;

[0092] Those skilled in the art will understand that the thickness of the material layer is obtained from the design drawings of the facade;

[0093] S3. Calculation of thermal conductivity of material layers in multi-layer composite structural materials;

[0094] The material layers in the thermal distortion domain are divided into layers with known thermal conductivity and layers with unknown thermal conductivity.

[0095] If the thermal conductivity of a layer is known, the thermal conductivity of the unknown layer in the thermal field distortion domain can be deduced.

[0096] For example, the thermal distortion domain consists of an insulation layer and a metal layer, and the insulation layer is known to be... 1 and 1. Metal layer 2. Given, 2 unknown;

[0097] Through the formula: Obtain the thermal conductivity of the unknown layer ,in The temperature difference between the inside and outside of the exterior facade composite layer;

[0098] Obtain the standard range of thermal conductivity, calculate the thermal conductivity of the material layer based on the thermal conductivity layer calculation model, and compare it with the standard range of the corresponding material layer thermal conductivity.

[0099] If the thermal conductivity of the material layer is within the standard range, no treatment is required;

[0100] If the thermal conductivity of the material layer deviates from the standard range, the thermal field distortion domain corresponding to the material layer is marked as the distortion deviation domain.

[0101] Those skilled in the art will understand that the standard value of thermal conductivity is obtained from the material manufacturer's parameter manual;

[0102] The role of identifying distortion deviation domains is to locate material layers with abnormal thermal performance. The distortion deviation domain is a region selected by the thermal conductivity layer calculation model, and its core feature is that the thermal conductivity of the material layer deviates from the standard range.

[0103] Example 2

[0104] like Figure 2 As shown, a method for improving the performance of the exterior facade of a green and environmentally friendly substation also includes the following steps:

[0105] Step 3: Obtain the thermal bridge sensitive area on the exterior of the substation, and perform spatial location coupling analysis on the distortion deviation area, heat conduction sensitive area, and thermal bridge sensitive area to determine whether the distortion deviation area, heat conduction sensitive area, and thermal bridge sensitive area are spatially coupled.

[0106] The spatial location coupling analysis of the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region is performed as follows:

[0107] The areas where thermal bridging effects are concentrated on the facades of multiple substations are extracted from historical monitoring data of the facades and designated as thermal bridging sensitive areas.

[0108] It should be noted that extracting thermal bridge sensitive areas from historical monitoring data of multiple substation facades usually involves using thermal imaging technology, heat flux density measurement, and other means to systematically analyze the thermal data (such as temperature and heat flux density) of the facade under different time periods and operating conditions. By identifying the locations where heat flux is abnormally concentrated and the temperature deviates significantly from the main area, areas where thermal bridge effects occur frequently are screened out, thereby determining the thermal bridge sensitive areas.

[0109] In the methods for improving the performance of the exterior facade of green and environmentally friendly substations, thermal bridge sensitive areas are weak links in the thermal performance of the facade. Heat is easily concentrated and transferred here, leading to increased energy consumption and unstable indoor thermal environment. Identifying these areas allows for targeted optimization of insulation material laying and improvement of structural design (such as reducing geometric abrupt changes and optimizing material splicing), thereby improving the thermal insulation performance of the facade, reducing energy loss, and reducing carbon emissions, thus achieving green and environmentally friendly goals.

[0110] Identifying thermal bridge sensitive areas can make improvement measures more targeted, reduce blind renovation of the facade, improve resource utilization efficiency, and help improve the performance of the substation facade, thus transforming traditional substations into green and environmentally friendly substations.

[0111] After obtaining the thermal field of the exterior facade and dividing it into grids, the spatial position of the grids is calculated, and the binary variables of the grid spatial position are calculated.

[0112] The binary variable representing the spatial location is calculated as follows:

[0113] If the grid space location is simultaneously within the thermal bridge sensitive region, the thermal conduction sensitive region, and the distortion deviation region, then the binary variable of the grid space is set to 1; otherwise, it is set to 0.

[0114] The heat flux density of all grids is obtained and normalized. The percentage difference in heat flux density between grids i and j is calculated and used as the spatial weight from grid i to j. The spatial weight matrix w of the grids is then constructed. ij ;

[0115] Through the formula: Obtain the global Moran index I of the grid;

[0116] Where n is the total number of grids, x i The variable w represents a binary variable indicating that grid i belongs to the thermal bridge sensitive region, the thermal conduction sensitive region, and the distortion deviation region. i and j are the grid numbers, and w is the value of the grid. ij These are the weights of the spatial weight matrix. The mean of a binary variable;

[0117] If the global Moran index I > 0, it is considered that the three regions of thermal bridge sensitive region, thermal conduction sensitive region, and distortion deviation region are positively correlated in the overall spatial distribution, that is, the three regions exhibit spatial coupling.

[0118] If the global Moran index I < 0, it is considered that the three regions of thermal bridge sensitive region, thermal conduction sensitive region, and distortion deviation region are negatively correlated in the overall spatial distribution, that is, the three regions exhibit spatial discreteness effect.

[0119] If the global Moran index I=0, then there is no correlation;

[0120] It should be noted that the purpose of determining whether the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region are spatially coupled is as follows:

[0121] Function 1: Identifying key optimization areas: When three areas are spatially coupled, it means that there are serious thermal performance problems in the overlapping areas. These areas have multiple defects such as heat conduction sensitivity, frequent thermal bridging effects, and abnormal material thermal conductivity. They are the key parts that cause heat loss from the substation facade, increased energy consumption, and unstable indoor thermal environment. By identifying the coupled areas, we can locate the key areas that most need optimization, avoid blind renovation, and improve resource utilization efficiency.

[0122] Function Two: Developing Targeted Optimization Strategies: Based on the material type within the coupling region (single homogeneous material or multi-layered composite structure material), more targeted optimization strategies can be developed. For regions with single homogeneous materials, if coupling exists, environmentally friendly materials that meet thermal conductivity standards can be directly applied. For regions with multi-layered composite structures, materials with distortion optimization can be identified by calculating the thermal resistance ratio. Then, measures such as increasing material thickness or replacing materials can be taken to effectively improve the thermal performance of the region and reduce heat transfer.

[0123] Step 4: If the distortion deviation domain, the heat conduction sensitive area, and the thermal bridge sensitive domain are spatially coupled, formulate a strategy to improve and optimize the facade performance;

[0124] The performance improvement and optimization strategy is formulated as follows:

[0125] If the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region are spatially coupled, the intersection of the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region is extracted as the spatial coupling domain.

[0126] Obtain the material type of the substation facade within the spatial coupling domain, and formulate different performance improvement and optimization strategies based on different material types;

[0127] SS1. If the spatial coupling domain is a single homogeneous material, cover it with an environmentally friendly material that meets the thermal conductivity requirements;

[0128] It should be noted that if the spatial coupling domain is a single homogeneous material, it indicates that the distortion deviation from the domain is caused by the thermal conductivity of the single material deviating from the standard or its insufficient thermal insulation performance.

[0129] Cover the surface of the spatial coupling domain with an environmentally friendly material that meets the standard range of thermal conductivity.

[0130] SS2. If the spatial coupling domain is a multi-layered composite material, locate the distortion optimization material and formulate an optimization strategy;

[0131] If the distortion deviates from the domain, corresponding to the multilayer composite structure material, obtain the thermal conductivity of each layer. and material layer thickness , For the material layer number;

[0132] Through the formula: Obtain the total thermal resistance Rz of the multilayer composite material within the distortion deviation domain, where z is the total number of material layers;

[0133] Through the formula: Obtaining the thermal resistance of a single material layer Calculate the thermal resistance of a single material layer The ratio of the single-layer thermal resistance to the total thermal resistance Rz is used to obtain the thermal resistance ratio of the single layer.

[0134] It should be noted that thermal resistance is the ability of a material to impede heat transfer. Thermal resistance is directly related to the material thickness and thermal conductivity. The lower the thermal resistance ratio, the smaller the proportion of the thermal resistance of the layer material in the total thermal resistance, that is, the stronger the thermal conductivity of the layer material. Conversely, the higher the thermal resistance ratio, the larger the proportion of the thermal resistance of the layer material, the greater its contribution to the total thermal resistance, and the more it is the main barrier to heat transfer.

[0135] Multi-layer composite materials were sorted in ascending order according to their single-layer thermal resistance ratio, while materials whose layer thermal conductivity deviated from the standard range were screened out.

[0136] The material with the smallest single-layer thermal resistance ratio and whose thermal conductivity deviates from the standard range is selected as the distortion optimization material.

[0137] To address distortion, optimize the material by increasing its thickness or replacing it with a material that meets the standard range for thermal conductivity.

[0138] Example 3

[0139] like Figure 3 As shown, a green and environmentally friendly substation facade performance improvement system is used to implement a method for improving the facade performance of a green and environmentally friendly substation, including the following modules:

[0140] Distortion identification module: used to scan the exterior of the substation, draw the thermal field of the exterior, identify the thermal field distortion of the exterior based on the thermal field, and extract the thermal field distortion domain;

[0141] The specific process for constructing the exterior facade heat field is as follows:

[0142] The heat conduction sensitive areas of the facade are identified, including: the internal and external corners of the facade, corner areas, the connection between the metal keel and the supporting structure, the geometric abrupt nodes of the facade, and the material interface transition areas formed by the splicing seams of materials with different thermal conductivity.

[0143] Distinguishing the heat-sensitive areas of the substation's exterior facade from the heat conduction-sensitive areas, other areas of the substation's exterior facade are marked as the main area;

[0144] Based on the surface temperature of different temperature monitoring points on the exterior of the substation, calculate the temperature gradient between adjacent temperature monitoring points;

[0145] A thermal field of the exterior facade is constructed based on the temperature gradient between adjacent temperature monitoring points.

[0146] The method for identifying thermal distortion on the facade is as follows:

[0147] The thermal field of the exterior facade is meshed, and the percentage of temperature gradient deviation between adjacent meshes is calculated.

[0148] The percentage of temperature gradient deviation between adjacent grids is compared with a preset distortion threshold.

[0149] If the temperature gradient deviation between adjacent grids is higher than the preset distortion threshold, the grid boundary between adjacent grids will be used as the distortion boundary.

[0150] Obtain all the distortion boundaries of the temperature gradient field on the facade, and connect the distortion boundaries end to end with closed curves to construct the thermal distortion domain.

[0151] Deviation Limitation Module: Used to construct a layered calculation model for thermal conductivity, perform layered calculations on the thermal conductivity of the interior and exterior facade materials in the thermal field distortion domain, obtain the thermal conductivity of each material layer, and filter the thermal field distortion domains where the thermal conductivity of the material layer deviates from the standard range to obtain the distortion deviation domain.

[0152] In some embodiments, the heat flux density q of the facade material is obtained by a heat flux density meter;

[0153] Obtain the material of the exterior facade material layer corresponding to the thermal field distortion domain, construct a layered calculation model for thermal conductivity, and obtain the thermal conductivity of the material layer;

[0154] The construction method of the layered calculation model for thermal conductivity is as follows:

[0155] S1. Obtain the exterior material type corresponding to the thermal distortion domain;

[0156] The materials used for the exterior facade of substations are classified into single homogeneous materials and multi-layer composite structural materials.

[0157] Multilayer composite structural materials are composed of layers of materials with different thermal conductivity, such as insulation layers, adhesive layers, and decorative layers. Each layer of a multilayer composite structural material has a different thermal resistance, and the thermal conductivity needs to be calculated using a thermal resistance series model.

[0158] S2. Calculation of thermal conductivity of a single homogeneous material layer;

[0159] Through the formula: Obtaining the thermal conductivity of a single homogeneous material ;

[0160] Where q is the heat flux density. For material layer thickness, This refers to the temperature difference between the inner and outer sides of the material layer;

[0161] S3. Calculation of thermal conductivity of material layers in multi-layer composite structural materials;

[0162] The material layers in the thermal distortion domain are divided into layers with known thermal conductivity and layers with unknown thermal conductivity.

[0163] If the thermal conductivity of a layer is known, the thermal conductivity of the unknown layer in the thermal field distortion domain can be deduced.

[0164] For example, the thermal distortion domain consists of an insulation layer and a metal layer, and the insulation layer is known to be... 1 and 1. Metal layer 2. Given, 2 unknown;

[0165] Through the formula: Obtain the thermal conductivity of the unknown layer ,in The temperature difference between the inside and outside of the exterior facade composite layer;

[0166] Obtain the standard range of thermal conductivity, calculate the thermal conductivity of the material layer based on the thermal conductivity layer calculation model, and compare it with the standard range of the corresponding material layer thermal conductivity.

[0167] If the thermal conductivity of the material layer is within the standard range, no treatment is required;

[0168] If the thermal conductivity of the material layer deviates from the standard range, the thermal field distortion domain corresponding to the material layer is marked as the distortion deviation domain.

[0169] Coupling determination module: used to obtain the thermal bridge sensitive area on the exterior of the substation, perform spatial position coupling analysis on the distortion deviation area, heat conduction sensitive area, and thermal bridge sensitive area, and determine whether the distortion deviation area, heat conduction sensitive area, and thermal bridge sensitive area are spatially coupled.

[0170] The spatial location coupling analysis of the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region is performed as follows:

[0171] The areas where thermal bridging effects are concentrated on the facades of multiple substations are extracted from historical monitoring data of the facades and designated as thermal bridging sensitive areas.

[0172] After obtaining the thermal field of the exterior facade and dividing it into grids, the spatial position of the grids is calculated, and the binary variables of the grid spatial position are calculated.

[0173] The binary variable representing the spatial location is calculated as follows:

[0174] If the grid space location is simultaneously within the thermal bridge sensitive region, the thermal conduction sensitive region, and the distortion deviation region, then the binary variable of the grid space is set to 1; otherwise, it is set to 0.

[0175] The heat flux density of all grids is obtained and normalized. The percentage difference in heat flux density between grids i and j is calculated and used as the spatial weight from grid i to j. The spatial weight matrix w of the grids is then constructed. ij ;

[0176] Through the formula: Obtain the global Moran exponent I;

[0177] Where n is the total number of grids, x i The variable w represents a binary variable indicating that grid i belongs to the thermal bridge sensitive region, the thermal conduction sensitive region, and the distortion deviation region. i and j are the grid numbers, and w is the value of the grid. ij These are the weights of the spatial weight matrix. The mean of a binary variable;

[0178] If the global Moran index I > 0, it is considered that the three regions of thermal bridge sensitive region, thermal conduction sensitive region, and distortion deviation region are positively correlated in the overall spatial distribution, that is, the three regions exhibit spatial coupling.

[0179] If the global Moran index I < 0, it is considered that the three regions of thermal bridge sensitive region, thermal conduction sensitive region, and distortion deviation region are negatively correlated in the overall spatial distribution, that is, the three regions exhibit spatial discreteness effect.

[0180] If the global Moran index I=0, then there is no correlation.

[0181] Improvement and optimization module: If the distortion deviation domain, heat conduction sensitive area, and thermal bridge sensitive domain are spatially coupled, formulate a facade performance improvement and optimization strategy;

[0182] The performance improvement and optimization strategy is formulated as follows:

[0183] If the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region are spatially coupled, the intersection of the distortion deviation domain, the heat conduction sensitive region, and the thermal bridge sensitive region is extracted as the spatial coupling domain.

[0184] Obtain the material type of the substation facade within the spatial coupling domain, and formulate different performance improvement and optimization strategies based on different material types;

[0185] SS1. If the spatial coupling domain is a single homogeneous material, cover it with an environmentally friendly material that meets the thermal conductivity requirements;

[0186] Cover the surface of the spatial coupling domain with an environmentally friendly material that meets the standard range of thermal conductivity.

[0187] SS2. If the spatial coupling domain is a multi-layered composite material, locate the distortion optimization material and formulate an optimization strategy;

[0188] If the distortion deviates from the domain, corresponding to the multilayer composite structure material, obtain the thermal conductivity of each layer. and material layer thickness , For the material layer number;

[0189] Through the formula: Obtain the total thermal resistance Rz of the multilayer composite material within the distortion deviation domain, where z is the total number of material layers;

[0190] Through the formula: Obtaining the thermal resistance of a single material layer Calculate the thermal resistance of a single material layer The ratio of the single-layer thermal resistance to the total thermal resistance Rz is used to obtain the thermal resistance ratio of the single layer.

[0191] Multi-layer composite materials were sorted in ascending order according to their single-layer thermal resistance ratio, while materials whose layer thermal conductivity deviated from the standard range were screened out.

[0192] The material with the smallest single-layer thermal resistance ratio and whose thermal conductivity deviates from the standard range is selected as the distortion optimization material.

[0193] To address distortion, optimize the material by increasing its thickness or replacing it with a material that meets the standard range for thermal conductivity.

[0194] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A green eco-friendly type method for improving performance of an outer facade of a substation, characterized in that, The method comprises the following steps: scanning the outer facade of the substation, drawing an outer facade heat field, identifying heat field distortion of the outer facade based on the outer facade heat field, and extracting a heat field distortion domain; constructing a layered thermal conductivity calculation model to calculate the thermal conductivity of the outer facade material in the heat field distortion domain, obtaining the thermal conductivity of each material layer, and screening the heat field distortion domain with a material layer thermal conductivity deviating from a standard range to obtain a distortion deviation domain; obtaining a thermal bridge sensitive domain of the outer facade of the substation, and performing spatial position coupling analysis on the distortion deviation domain, the heat conduction sensitive region and the thermal bridge sensitive domain to determine whether the distortion deviation domain, the heat conduction sensitive region and the thermal bridge sensitive domain are spatially coupled; the thermal bridge sensitive domain is obtained in the following manner: extracting a region where the outer facade thermal bridge effect concentrates from a plurality of substation outer facade historical monitoring data as the thermal bridge sensitive domain; the heat conduction sensitive region includes: a yin-yang corner, a corner area, a metal furring and support structure connection of the outer facade, a geometric mutation node formed by the outer facade, and a material interface transition area formed by a different thermal conductivity material joint; if the distortion deviation domain, the heat conduction sensitive region and the thermal bridge sensitive domain are spatially coupled, an outer facade performance improvement optimization strategy is developed; the manner of developing different types of performance improvement optimization strategies is: if the spatial coupling domain is a single uniform material, an environmentally friendly material conforming to the thermal conductivity is covered; if the distortion deviation domain has a plurality of composite structure materials, the proportion of the thermal resistance of a single material layer to the total thermal resistance is calculated to obtain a single layer thermal resistance ratio; the plurality of composite structure materials are sorted according to the single layer thermal resistance ratio, and the material layer with a thermal conductivity deviating from the standard range is screened out; the material with the smallest single layer thermal resistance ratio value and satisfying the material layer thermal conductivity deviating from the standard range is obtained as the distortion optimization material, and the thickness of the material is increased or the material conforming to the standard range of thermal conductivity is replaced.

2. The green and environment-friendly method for improving the performance of the outer facade of a substation according to claim 1, characterized in that, the manner of extracting the heat field distortion domain is: obtaining the heat conduction sensitive region of the outer facade, setting different temperature monitoring points and different scanning steps for the main body region of the outer facade and the heat conduction sensitive region of the outer facade, and comprehensively scanning the temperature of the outer facade; based on the surface temperature of the different temperature monitoring points of the substation outer facade, the temperature gradient between adjacent temperature monitoring points is calculated; based on the temperature gradient between adjacent temperature monitoring points, an outer facade heat field is constructed; the heat field distortion domain is obtained by performing distortion analysis on the outer facade heat field.

3. The green and environment-friendly method for improving the performance of the outer facade of a substation according to claim 2, characterized in that, the process of the distortion analysis is: grid division is performed on the outer facade heat field, and the temperature gradient deviation proportion between adjacent grids is calculated; if the temperature gradient deviation proportion between adjacent grids is higher than a preset distortion threshold, the grid boundary between adjacent grids is taken as a distortion boundary; all distortion boundaries of the outer facade temperature gradient field are obtained, the distortion boundaries are connected head to tail through a closed curve, and a heat field distortion domain is constructed.

4. The green and environmentally-friendly method for improving the performance of the outer facade of a substation according to claim 1, characterized in that, the distortion deviation domain is obtained in the following manner: obtaining the outer facade insulation layer material corresponding to the heat field distortion domain, constructing a layered thermal conductivity calculation model, and obtaining the thermal conductivity of the material layer; The standard range of the thermal conductivity is obtained, the thermal conductivity of the material layer is calculated based on the layered calculation model of the thermal conductivity, and if the thermal conductivity of the material layer deviates from the standard range, the thermal field distortion domain corresponding to the material layer is marked as a deviation domain.

5. The green and environmentally-friendly method for improving the performance of the outer facade of a substation according to claim 4, characterized in that, The manner of constructing the layered calculation model of the thermal conductivity is: Obtaining the material type of the outer facade corresponding to the thermal field distortion domain; Thermal conductivity calculation of the material layer of a single homogeneous material; Thermal conductivity calculation of the material layer of a multi-layer composite structural material.

6. The green and environment-friendly method for improving the performance of the outer facade of a substation according to claim 5, characterized in that, The manner of thermal conductivity calculation of the material layer of the multi-layer composite structural material is: Divide the material layer in the thermal field distortion domain into a known thermal conductivity layer and an unknown layer; If the thermal conductivity of the known layer is known, the thermal conductivity of the unknown layer in the thermal field distortion domain is inversely calculated.

7. The green and environmentally-friendly method for improving the performance of the outer facade of a substation according to claim 1, characterized in that, The manner of judging whether the deviation domain, the heat conduction sensitive area and the heat bridge sensitive domain are spatially coupled is: Obtaining the spatial position of the grid after the grid division of the outer facade heat field, calculating the binary variable of the grid spatial position; Based on the binary variable of the grid and the spatial weight matrix of the constructed grid, the global Moran index of the grid is obtained through the global Moran index formula; If the global Moran index is positive, it is considered that the heat bridge sensitive domain, the heat conduction sensitive area and the deviation domain are spatially coupled.

8. The green and environment-friendly method for improving the performance of the outer facade of a substation according to claim 7, characterized in that, The manner of constructing the spatial weight matrix of the grid is: Obtaining the heat flow density of all grids and performing standardization processing, calculating the heat flow density deviation proportion of the grid i and j as the spatial weight of the grid i to j, and constructing the spatial weight matrix of the grid; Wherein, i and j are the numbers of the grid.

9. The green and environment-friendly method for improving the performance of the outer facade of a substation according to claim 1, characterized in that, The manner of formulating the performance improvement optimization strategy of the outer facade is: If the deviation domain, the heat conduction sensitive area and the heat bridge sensitive domain are spatially coupled, extract the spatial coupling domain; Obtaining the material category of the outer facade of the transformer substation in the spatial coupling domain, and formulating different types of performance improvement optimization strategies based on different material categories.

10. The green and environmentally-friendly method for improving the performance of the outer facade of a substation according to claim 9, characterized in that, The manner of extracting the spatial coupling domain is: Extracting the intersection of the deviation domain, the heat conduction sensitive area and the heat bridge sensitive domain as the spatial coupling domain.

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