Auxiliary design method and system for building exterior wall renovation

Abstract

This application relates to the field of building renovation management and discloses an auxiliary design method and system for building exterior wall renovation. The method includes: acquiring zonal scheme data and cross-regional scheme data corresponding to zonal aggregation schemes; determining the zonal stability assessment value corresponding to the zonal aggregation scheme based on the zonal scheme data; determining the cross-regional scheme consistency assessment value corresponding to the zonal aggregation scheme based on the cross-regional scheme data; determining the first feedback correlation coefficient corresponding to the zonal aggregation scheme based on the zonal stability assessment value; determining the second feedback correlation coefficient based on the cross-regional scheme consistency assessment value; and determining zonal adjustment suggestions corresponding to the zonal aggregation scheme based on the first and second feedback correlation coefficients. This application can improve the zonal design effect in building exterior wall renovation.

Description

Technical Field

[0001] This application relates to the field of building renovation management technology, and more specifically, to an auxiliary design method and system for building exterior wall renovation. Background Technology

[0002] As buildings age, the exterior walls of commercial and residential buildings are prone to aging, damage, and fading, failing to meet the requirements for maintaining the building's appearance, structural protection, and continued functionality. Therefore, there is currently a significant demand for renovation of the exterior walls of commercial and residential buildings in the construction industry. Existing technologies primarily address these renovation needs based on practical requirements, focusing on fundamental aspects such as construction techniques and material selection to respond to the market's widespread demand for exterior wall renovation, ensuring that the building's exterior walls can be restored to a normal usable state and adapt to the overall building's usage requirements and appearance.

[0003] In the design phase of building exterior renovation, current technology generally relies on designers' experience to determine the renovation areas, lacking scientific and systematic criteria for area division and evaluation. This experience-based design approach easily leads to unreasonable area division, such as omitting key damaged areas and over-covering unnecessary renovation areas. This, in turn, results in insufficient targeted construction and unbalanced resource allocation during the renovation process, ultimately leading to poor renovation results. The renovation fails to fully achieve the desired structural reinforcement, aesthetic optimization, and functional enhancement goals, thus failing to meet the high-quality requirements of building exterior renovation. Summary of the Invention

[0004] The purpose of this application is to provide an auxiliary design method and system for building exterior wall renovation, which solves the technical problem of poor regional design effect in building exterior wall renovation and achieves the technical effect of improving the regional design effect in building exterior wall renovation.

[0005] This application provides an auxiliary design method for building exterior wall renovation. The method includes: acquiring a partitioned aggregation scheme for renovating multiple renovation areas of the building exterior wall; acquiring partitioned scheme data and cross-regional scheme data corresponding to each partitioned aggregation scheme; wherein, the partitioned scheme data includes base treatment standard data and coating construction process data for each renovation area, and the cross-regional scheme data includes physical range data for each renovation area and connection method data for adjacent renovation areas; determining the partitioned stability assessment value corresponding to the partitioned aggregation scheme based on the partitioned scheme data; determining the cross-regional scheme consistency assessment value corresponding to the partitioned aggregation scheme based on the cross-regional scheme data; determining a first feedback correlation coefficient corresponding to the partitioned aggregation scheme based on the partitioned stability assessment value; determining a second feedback correlation coefficient based on the cross-regional scheme consistency assessment value; and determining a partitioned adjustment suggestion corresponding to the partitioned aggregation scheme based on the first feedback correlation coefficient and the second feedback correlation coefficient.

[0006] In one possible implementation, the partition adjustment suggestion corresponding to the partition aggregation scheme is determined based on the first feedback correlation coefficient and the second feedback correlation coefficient. This includes: obtaining the first feedback correlation weight and the second feedback correlation weight; determining the sum of the product of the first feedback correlation weight and the first feedback correlation coefficient, and the product of the second feedback correlation weight and the second feedback correlation coefficient, as the partition adjustment coefficient; keeping the partition aggregation scheme unchanged when the partition adjustment coefficient is greater than or equal to the preset partition adjustment coefficient; merging multiple renovation areas in the partition aggregation scheme when the partition adjustment coefficient is less than the preset partition adjustment coefficient to obtain a modified partition aggregation scheme including multiple modified renovation areas; and performing partition process optimization and cross-region process optimization on the modified partition aggregation scheme with multiple modified renovation areas.

[0007] In another possible implementation, when the partition adjustment coefficient is less than the preset partition adjustment coefficient, multiple renovation areas in the partition aggregation scheme are merged to obtain a corrected partition aggregation scheme that includes multiple corrected renovation areas. This includes: obtaining the renovation area stability assessment value corresponding to each of the multiple renovation areas; dividing the multiple renovation areas into multiple renovation area groups according to the stability assessment value range to which the renovation area stability assessment value belongs, with different renovation area groups corresponding to different stability assessment value ranges; merging the multiple renovation areas within each renovation area group as corrected renovation areas, with different renovation area groups corresponding to different corrected renovation areas.

[0008] In another possible implementation, the modified zoning aggregation scheme for multiple modified renovation areas is optimized by both zoning and cross-regional processes. This includes: identifying multiple key renovation areas within the modified renovation areas and obtaining renovation construction schemes corresponding to each key renovation area; wherein, the multiple key renovation areas include wall corner areas and weak wall areas; among the renovation construction schemes corresponding to the multiple key renovation areas in the modified renovation areas, the construction scheme with the most stringent process standards is determined as the target renovation construction scheme; the connection construction schemes of the modified renovation areas corresponding to the target renovation construction scheme are determined as the target connection construction schemes; the construction schemes of each modified renovation area are modified to the target renovation construction schemes, and the connection construction schemes of adjacent modified renovation areas are modified to the target connection construction schemes.

[0009] In another possible implementation, obtaining renovation construction plans corresponding to multiple key renovation areas further includes: obtaining historical extreme temperatures and historical rainfall for the building to be renovated; determining multiple climate scenarios based on historical extreme temperatures and historical rainfall; obtaining optimization objectives, building status data, and regulatory constraint data for multiple climate scenarios; constructing a multi-objective function based on the optimization objectives, building status data, and regulatory constraint data for multiple climate scenarios; wherein the building status data for key renovation areas includes wall bearing capacity and original insulation layer thickness; iteratively optimizing the multi-objective function using a differential evolution algorithm to obtain the optimal renovation plan for each climate scenario; constructing a flexible objective function based on each optimal renovation plan for each single scenario and generating an initial flexible plan population; iteratively optimizing the flexible objective function using a differential evolution algorithm to obtain a flexible renovation plan adapted to multiple climate scenarios; and using the flexible renovation plan adapted to multiple climate scenarios as the renovation construction plan for the key renovation areas.

[0010] In another possible implementation, based on the partition scheme data corresponding to the partition aggregation scheme, the partition stability assessment value corresponding to the partition aggregation scheme is determined, including: obtaining the basic partition stability assessment value corresponding to the partition aggregation scheme; determining the base treatment safety index of each renovation area based on the base firmness and hollow rate of each renovation area in the partition scheme data; determining the coating construction safety index of each renovation area based on the fire resistance and weather resistance of each renovation area in the partition scheme data; when the base treatment safety index of the renovation area is greater than or equal to the preset base treatment safety index, or the coating construction safety index is greater than or equal to the preset coating construction safety index, the renovation area is designated as a safety risk area; determining the number and location of safety risk areas corresponding to the partition scheme data; determining the nearest non-safety risk area around the safety risk area; determining the distance between the safety risk area and the nearest non-safety risk area as the risk area distance; when the risk area distance corresponding to the safety risk area is less than the preset risk area distance, the safety risk area is designated as a comprehensive safety risk area; determining the proportion of non-comprehensive safety risk areas in the partition scheme data as the comprehensive safety area proportion; and multiplying the basic partition stability assessment value by the comprehensive safety area to adjust the partition stability assessment value corresponding to the partition aggregation scheme.

[0011] In another possible implementation, the partition stability assessment value corresponding to the partition aggregation scheme is determined based on the partition scheme data corresponding to the partition aggregation scheme. This also includes: obtaining the distance of the preset key risk area corresponding to the key renovation area; when the safety risk area is a key renovation area, and when the distance of the risk area corresponding to the safety risk area is greater than or equal to the distance of the preset key risk area, the safety risk area is taken as the comprehensive safety risk area.

[0012] In another possible implementation, the method further includes: obtaining the usage frequency weight, preference weight, and population density weight corresponding to the renovation area; obtaining the resident usage frequency, renovation effect preference, and population density corresponding to the renovation area as user data; determining the usage frequency fit, preference matching degree, and population density fit corresponding to the renovation area based on the user data; determining the sum of the products of usage frequency fit and usage frequency weight, preference matching degree and preference weight, and population density fit and population density weight corresponding to the renovation area based on the usage frequency fit, preference matching degree, and population density fit and population density weight, as the user fit evaluation value corresponding to the renovation area; obtaining the first feedback association weight, the second feedback association weight, and the user fit weight; determining the sum of the products of the first feedback association weight and the first feedback association coefficient, the second feedback association weight and the second feedback association coefficient, and the user fit weight and the user fit evaluation value, as the partition adjustment coefficient.

[0013] In another possible implementation, a partitioning aggregation scheme is obtained to renovate multiple renovation areas of the building's exterior wall separately. This includes: obtaining current project condition data and a historical exterior wall renovation case database including historical case data; determining the current condition feature vector corresponding to the current project condition data and determining the historical case feature vector corresponding to the historical case data; determining the cosine similarity between the current condition feature vector and multiple historical case feature vectors; determining the target historical case feature vector with a cosine similarity greater than or equal to a preset cosine similarity, and obtaining similar historical case data corresponding to similar historical case feature vectors; obtaining a baseline partitioning framework corresponding to the similar historical case data; and decomposing the building's exterior wall according to the baseline partitioning framework as multiple renovation areas of the building's exterior wall.

[0014] This application also provides an auxiliary design system for building exterior wall renovation, including a unit for implementing the above-described auxiliary design method for building exterior wall renovation.

[0015] The beneficial effects of the embodiments in this application compared with the prior art are:

[0016] This application provides an auxiliary design method for building exterior wall renovation. The method includes: obtaining a partitioned aggregation scheme for renovating multiple renovation areas of the building exterior wall; obtaining partitioned scheme data and cross-regional scheme data corresponding to each partitioned aggregation scheme; determining a partitioned stability assessment value corresponding to the partitioned aggregation scheme based on the partitioned scheme data; determining a cross-regional scheme consistency assessment value corresponding to the partitioned aggregation scheme based on the cross-regional scheme data; determining a first feedback correlation coefficient corresponding to the partitioned aggregation scheme based on the partitioned stability assessment value; determining a second feedback correlation coefficient based on the cross-regional scheme consistency assessment value; and determining a partitioned adjustment suggestion corresponding to the partitioned aggregation scheme based on the first and second feedback correlation coefficients. The method in this application allows the partitioned adjustment suggestion to simultaneously consider the stability of a single renovation area and the consistency between multiple renovation areas, improving the comprehensiveness and relevance of the partitioned adjustment suggestion, ensuring that the adjusted partitioned aggregation scheme guarantees the stability of a single area while also considering coordination between areas. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1A flowchart illustrating the first auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0019] Figure 2 A schematic diagram illustrating the workflow of the first auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0020] Figure 3 A flowchart illustrating the second auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0021] Figure 4 A schematic diagram illustrating the workflow of the second auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0022] Figure 5 A flowchart illustrating the third auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0023] Figure 6 A schematic diagram illustrating the workflow of the third auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0024] Figure 7 A flowchart illustrating the fourth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0025] Figure 8 A schematic diagram illustrating the workflow of the fourth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0026] Figure 9 A flowchart illustrating the fifth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0027] Figure 10 A schematic diagram illustrating the workflow of the fifth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0028] Figure 11 A flowchart illustrating the sixth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0029] Figure 12 A schematic diagram illustrating the workflow of the sixth auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0030] Figure 13 A flowchart illustrating the seventh auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0031] Figure 14 A schematic diagram illustrating the workflow of the seventh auxiliary design method for building exterior wall renovation provided in this application embodiment;

[0032] Figure 15 This is a schematic diagram of the logical structure of an auxiliary design system for building exterior wall renovation provided in an embodiment of this application. Detailed Implementation

[0033] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0034] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0035] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0036] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0037] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0038] Existing technologies generally rely on the experience of designers to determine the exterior wall renovation area, which can easily lead to unreasonable division of the renovation area.

[0039] Based on the above reasons, this application provides an auxiliary design method for building exterior wall renovation. The method includes: obtaining a partitioned aggregation scheme for renovating multiple renovation areas of the building exterior wall; obtaining partitioned scheme data and cross-regional scheme data corresponding to each partitioned aggregation scheme; determining a partitioned stability assessment value corresponding to the partitioned aggregation scheme based on the partitioned scheme data; determining a cross-regional scheme consistency assessment value corresponding to the partitioned aggregation scheme based on the cross-regional scheme data; determining a first feedback correlation coefficient corresponding to the partitioned aggregation scheme based on the partitioned stability assessment value; determining a second feedback correlation coefficient based on the cross-regional scheme consistency assessment value; and determining a partitioned adjustment suggestion corresponding to the partitioned aggregation scheme based on the first and second feedback correlation coefficients. The method in this application allows the partitioned adjustment suggestion to simultaneously consider the stability of a single renovation area and the consistency between multiple renovation areas, improving the comprehensiveness and relevance of the partitioned adjustment suggestion, ensuring that the adjusted partitioned aggregation scheme guarantees the stability of a single area while also taking into account the coordination between areas.

[0040] In some scenarios, the auxiliary design method for building exterior wall renovation according to the embodiments of this application can be applied to the construction of building exterior walls of commercial office buildings, residences, shopping malls and other buildings, which can improve the design effect of building exterior walls.

[0041] The following describes in detail an auxiliary design method for building exterior wall renovation provided in this application, using specific examples.

[0042] Figure 1 A flowchart illustrating the first auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 1 As shown in the embodiment of this application, an auxiliary design method for building exterior wall renovation is provided, including S110 to S130. S110 to S130 will be described in detail below.

[0043] S110. Obtain the zoning aggregation scheme for renovating multiple renovation areas of the building's exterior wall. Obtain the zoning scheme data and cross-region scheme data corresponding to each zoning aggregation scheme. Among them, the zoning scheme data includes the base treatment standard data and coating construction process data for each renovation area, and the cross-region scheme data includes the physical scope data of each renovation area and the connection method data of adjacent renovation areas.

[0044] Figure 2 A schematic diagram illustrating the workflow of the first auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 2As shown, in this implementation method, a partitioned aggregation scheme for multiple renovation areas of the building exterior wall can be obtained first. The partitioned aggregation scheme is a combination of the independent renovation schemes for each renovation area. For example, the exterior wall of an office building is divided into 3 areas. Area 1 adopts "cement mortar base and fluorocarbon paint coating", Area 2 adopts "putty leveling base and acrylic paint coating", and Area 3 adopts "interface agent treatment base and silicone acrylic paint coating".

[0045] In this implementation method, zoning scheme data can be obtained. Zoning scheme data includes base treatment standard data for each renovation area (e.g., area 1 requires base flatness ≤2mm and hollow rate <1%) and coating construction process data (e.g., area 1 needs to be coated with 3 coats of fluorocarbon paint, with each coat spaced 24 hours apart). This data reflects the specific construction requirements of a single area and provides a basis for subsequent evaluation of the stability and consistency of the scheme.

[0046] In this implementation method, cross-regional scheme data can be obtained. The cross-regional scheme data includes the physical scope data of each renovation area (e.g., area 1 is the east wall of the first to third floors, with an area of ​​500㎡) and the connection method data of adjacent renovation areas (e.g., the inside and outside corners of area 1 and area 2 are treated with rounded transition). This data reflects the spatial relationship and connection process between areas. This data provides a basis for subsequent evaluation of the stability and consistency of the scheme.

[0047] S120. Based on the partition scheme data corresponding to the partition aggregation scheme, determine the partition stability assessment value corresponding to the partition aggregation scheme. Based on the cross-region scheme data corresponding to the partition aggregation scheme, determine the cross-region scheme consistency assessment value corresponding to the partition aggregation scheme. Based on the partition stability assessment value corresponding to the partition aggregation scheme, determine the first feedback correlation coefficient corresponding to the partition aggregation scheme. Based on the cross-region scheme consistency assessment value corresponding to the partition aggregation scheme, determine the second feedback correlation coefficient.

[0048] In this implementation method, based on the partition scheme data corresponding to the partition aggregation scheme, the partition stability assessment value corresponding to the partition aggregation scheme is determined. Specifically, the stability of each renovation area's own scheme can be quantified through an empirical value table, and corresponding scores are assigned to various indicators of the base treatment standards (such as flatness and hollow rate) and coating construction technology (such as number of layers and drying time).

[0049] For example, a base flatness of ≤2mm earns 8 points, and ≤3mm earns 6 points; a coating drying time that meets the requirements earns 7 points, and extending it by 1 hour earns 5 points. Calculate the stability score for each area, and then take the average of all areas as the zonal stability assessment value for the entire zonal aggregation scheme.

[0050] For example, the stability scores of the three regions of a certain scheme are 15 (region 1: 8+7), 11 (region 2: 6+5), and 13 (region 3: 8+5), with an average of (15+11+13) / 3=13. That is, the regional stability assessment value of the scheme is 13. The higher the score, the more stable the base treatment and coating construction process of a single region.

[0051] In this implementation, the consistency evaluation value of the cross-regional scheme corresponding to the partition aggregation scheme can be determined based on the cross-regional scheme data corresponding to the partition aggregation scheme. Specifically, the degree of matching between schemes between regions can be quantified through an empirical value table, and corresponding scores can be assigned to the degree of connection of physical scope (such as whether the boundaries are aligned) and the degree of uniformity of the connection method of adjacent regions (such as whether the treatment of internal and external corners is consistent).

[0052] For example, physical boundary alignment scores 9 points, deviation scores 6 points; consistent connection methods score 8 points, inconsistent connection methods score 5 points. The total score is the cross-regional scheme consistency evaluation value.

[0053] For example, a certain scheme scores 9 points for physical scope connection (boundary alignment) and 8 points for adjacent connection method (uniform arc transition), for a total score of 9+8=17. The higher the score, the more coordinated the physical scope and connection process between areas.

[0054] In this implementation, the first feedback correlation coefficient corresponding to the partition aggregation scheme can be determined using an empirical value table based on the partition stability evaluation value corresponding to the partition aggregation scheme; the second feedback correlation coefficient can be determined using an empirical value table based on the cross-regional scheme consistency evaluation value corresponding to the partition aggregation scheme.

[0055] In this implementation, the ratio of the partition stability assessment value corresponding to the partition aggregation scheme to the reference partition stability assessment value can also be determined as the first feedback correlation coefficient corresponding to the partition aggregation scheme; the ratio of the cross-regional scheme consistency assessment value corresponding to the partition aggregation scheme to the reference cross-regional scheme consistency assessment value can also be determined as the second feedback correlation coefficient.

[0056] In this implementation, the first feedback correlation coefficient is correlated with the partition stability assessment value: the higher the stability assessment value, the closer the first correlation coefficient is to 1 (indicating that the scheme for a single region is more reliable); conversely, the lower the coefficient is, the closer it is to 0 (indicating that optimization is needed).

[0057] For example, a partition stability assessment value of 13 corresponds to a first correlation coefficient of 0.7.

[0058] In this implementation, the second feedback correlation coefficient is correlated with the cross-regional consistency assessment value: the higher the consistency assessment value, the closer the second correlation coefficient is to 1 (indicating greater coordination between regions); conversely, the lower the coefficient is, the closer it is to 0 (indicating that adjustment is needed).

[0059] For example, a cross-regional consistency assessment value of 17 corresponds to a second correlation coefficient of 0.8.

[0060] S130. Based on the first feedback correlation coefficient and the second feedback correlation coefficient, determine the partition adjustment suggestions corresponding to the partition aggregation scheme.

[0061] In this implementation, the partition adjustment suggestions corresponding to the partition aggregation scheme can be determined based on the first feedback correlation coefficient and the second feedback correlation coefficient. By combining the first feedback correlation coefficient (reflecting the stability of a single region) and the second feedback correlation coefficient (reflecting the consistency between regions), the shortcomings of the scheme can be analyzed and adjustment suggestions can be generated.

[0062] For example, if the first correlation coefficient is low (e.g., 0.5), it indicates that the solution for some areas is unstable and the base treatment standard needs to be optimized (e.g., change the base flatness of area 2 from ≤3mm to ≤2mm) or the coating construction process (e.g., shorten the coating drying time of area 2 to meet the requirements); if the second correlation coefficient is low (e.g., 0.6), it indicates that the areas are not coordinated and the physical range needs to be adjusted (e.g., align the boundaries of area 1 and area 3) or the adjacent connection method needs to be adjusted (e.g., unify the treatment of the inside and outside corners of area 1 and area 3 as rounded transition).

[0063] For example, a certain scheme has a first correlation coefficient of 0.5 and a second correlation coefficient of 0.6. The adjustment suggestion is to optimize the flatness of the base layer of region 2 (≤2mm) and unify the connection method of region 1 and region 3 (round arc transition). The final scheme ensures the stability of individual regions and achieves coordination between regions.

[0064] This implementation method allows the partition adjustment suggestions to consider both the stability of a single renovated area and the consistency between multiple renovated areas, improving the comprehensiveness and relevance of the partition adjustment suggestions. This ensures that the adjusted partition aggregation scheme guarantees the stability of a single area while also taking into account the coordination between areas.

[0065] This implementation method enables a quantitative assessment of the stability of the base treatment and coating construction process in each renovation area of ​​the zoning aggregation scheme, providing a basis for subsequent adjustments based on the stability of the scheme for the area itself, and improving the reliability of the scheme for a single renovation area; it also enables a quantitative assessment of the consistency of the physical scope and adjacent connection methods of different renovation areas in the zoning aggregation scheme, providing a basis for subsequent adjustments based on the cross-regional scheme matching, and improving the coordination of schemes between multiple renovation areas.

[0066] Figure 3 A flowchart illustrating the second auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 3As shown, in some implementations, in the above-mentioned S130, the partition adjustment suggestions corresponding to the partition aggregation scheme are determined according to the first feedback correlation coefficient and the second feedback correlation coefficient, including S131 to S132. S131 to S132 will be explained in detail below.

[0067] S131. Obtain the first feedback correlation weight and the second feedback correlation weight, and determine the sum of the product of the first feedback correlation weight and the first feedback correlation coefficient, and the product of the second feedback correlation weight and the second feedback correlation coefficient, as the partition adjustment coefficient.

[0068] Figure 4 A schematic diagram illustrating the workflow of the second auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 4 As shown, in terms of structure, function, and usage, this implementation can obtain a pre-set first feedback correlation weight and a second feedback correlation weight. The first feedback correlation weight is used to measure the importance of partition stability to scheme adjustment, and the second feedback correlation weight is used to measure the importance of cross-regional consistency to scheme adjustment.

[0069] For example, if a renovation project emphasizes the construction reliability of a single area (such as a key area of ​​a high-rise building's exterior wall), the first feedback correlation weight can be set to 0.6, and the second feedback correlation weight can be set to 0.4; if the project focuses more on the connection and coordination between areas (such as the overall appearance of a commercial complex), the first feedback correlation weight can be set to 0.4, and the second feedback correlation weight can be set to 0.6.

[0070] In this implementation, the product of the first feedback correlation weight and the first feedback correlation coefficient, and the sum of the products of the second feedback correlation weight and the second feedback correlation coefficient can be determined as the partition adjustment coefficient. This coefficient integrates the influence of both the stability of a single region and the consistency between regions, thus avoiding adjustment deviations caused by a single factor.

[0071] S132. When the partition adjustment coefficient is greater than or equal to the preset partition adjustment coefficient, the partition aggregation scheme remains unchanged. When the partition adjustment coefficient is less than the preset partition adjustment coefficient, multiple renovation areas in the partition aggregation scheme are merged to obtain a modified partition aggregation scheme that includes multiple modified renovation areas. Partition process optimization and cross-region process optimization are then performed on the modified partition aggregation scheme with multiple modified renovation areas.

[0072] In this implementation, a preset partition adjustment coefficient can be set as a threshold for determining whether the scheme needs to be adjusted. For example, the preset partition adjustment coefficient can be set to 0.8 (this value is based on the threshold statistics of stable schemes in industry experience): when the partition adjustment coefficient is ≥0.8, it means that the stability of a single area and the consistency between areas of the current partition aggregation scheme meet the construction requirements, and no modification is needed. The original scheme can be kept unchanged.

[0073] In this implementation, when the partition adjustment coefficient is less than the preset partition adjustment coefficient, it indicates that the stability or consistency of the scheme is insufficient, and adjacent renovation areas with problems can be merged.

[0074] For example, two adjacent areas with large differences in base treatment standards (such as area A with a grinding depth of 1mm and area B with a grinding depth of 3mm) can be merged into one correction and renovation area, or three areas with inconsistent connection methods (such as area C using overlapping and area D using butt joints) can be merged into two correction areas. The purpose of merging is to reduce cross-regional connection nodes, reduce coordination difficulty, and lay the foundation for subsequent optimization.

[0075] In this implementation, when optimizing the modified zone aggregation scheme, each modified renovation area can be optimized through zone process optimization, adjusting its base treatment standard data and coating construction process data.

[0076] For example, the base grinding depth of the merged correction area can be standardized to 2mm (taking the reasonable value in the middle of the original area), or the curing time of the coating can be optimized to 24 hours (replacing the difference of 12 hours / 48 hours in the original area), thereby improving the construction stability of individual correction areas by standardizing process parameters.

[0077] In this implementation, cross-regional process optimization targets the data on the connection methods between refurbished areas.

[0078] For example, the overlap width of the coating in adjacent correction areas can be adjusted from 5cm to 8cm (to meet the minimum overlap requirements of the specifications), or the sealing material at the joint can be standardized to silicone sealant (to replace the original polyurethane / acrylic differences), thereby improving the consistency between areas through a standardized jointing process.

[0079] This implementation method calculates adjustment coefficients by combining weights and correlation coefficients, accurately determining whether the partition aggregation scheme needs adjustment, avoiding unnecessary adjustments or omissions of situations requiring adjustment, and improving the targeting of scheme adjustments; it avoids adjustment deviations caused by single factors, comprehensively considers the impact of partition stability and cross-regional consistency, making partition adjustment suggestions more in line with actual needs, and improving the rationality and reliability of adjustment suggestions.

[0080] This approach reduces cross-regional connection issues, while the optimized process further improves the construction stability of each modified area and the consistency of connections between areas, thereby enhancing the overall renovation effect.

[0081] Figure 5 A flowchart illustrating the third auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 5As shown, in some implementations, in S132 above, when the partition adjustment coefficient is less than the preset partition adjustment coefficient, multiple renovation areas in the partition aggregation scheme are merged to obtain a modified partition aggregation scheme including multiple modified renovation areas, including S132a to S132b. S132a to S132b will be explained in detail below.

[0082] S132a. Obtain the stability assessment values ​​of the multiple renovation areas. Divide the multiple renovation areas into multiple renovation area groups according to the stability assessment value range to which the renovation area stability assessment value belongs. Different renovation area groups correspond to different stability assessment value ranges.

[0083] Figure 6 A schematic diagram illustrating the workflow of the third auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 6 As shown, in this implementation method, the stability assessment values ​​of multiple renovation areas can be obtained first. These assessment values ​​are determined based on the base treatment standard data and coating construction process data of each renovation area, which can accurately reflect the stability of the scheme of a single renovation area.

[0084] For example, a commercial building has four renovation areas on its exterior wall. The evaluation value of area 1 is 88, area 2 is 73, area 3 is 85, and area 4 is 62. The higher the value, the more stable the base treatment and coating construction process of that area.

[0085] In this implementation, renovation areas can be divided into groups according to preset stability assessment value ranges, with different ranges corresponding to different groups. For example, three ranges can be preset: 75-100 is the high stability range, 65-74 is the medium stability range, and 0-64 is the low stability range. The assessment value of each renovation area can be mapped to its respective range and divided into different groups.

[0086] For example, the evaluation values ​​of regions 1 and 3 are in the high stability range and are classified into group A; the evaluation value of region 2 is in the medium stability range and is classified into group B; the evaluation value of region 4 is in the low stability range and is classified into group C.

[0087] S132b: Merge multiple renovation areas within each renovation area group into a revised renovation area. Different renovation area groups correspond to different revised renovation areas.

[0088] In this implementation, since the regions within the same renovation area group have similar stability characteristics, multiple renovation areas within each renovation area group can be merged as corrective renovation areas. Merging multiple renovation areas within a group can form a corrective renovation area.

[0089] For example, regions 1 and 3 in group A are merged into a high-stability correction region, region 2 in group B remains a medium-stability correction region, and region 4 in group C remains a low-stability correction region. Different groups correspond to different correction and renovation regions. Merging them can reduce the connection nodes between regions and provide a more unified basis for subsequent process optimization.

[0090] By utilizing the principle that the stability assessment values ​​of areas within the same group are in the same range, the merged modified renovation areas are more consistent in terms of stability, reducing the process adaptation problems caused by the stability differences within the area. This provides a more consistent basis for subsequent zonal process optimization and cross-regional process optimization, thereby improving the overall stability of the renovation plan.

[0091] Figure 7 A flowchart illustrating the fourth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 7 As shown, in some implementations, in the above-mentioned S132, the partitioning process optimization and cross-regional process optimization are performed on the correction partitioning aggregation scheme of multiple correction and renovation areas, including S132c to S132d. S132c to S132d will be explained in detail below.

[0092] S132c. Identify and modify multiple key renovation areas within the renovation area, and obtain renovation construction plans corresponding to each key renovation area. These key renovation areas include wall corner areas and weak wall areas.

[0093] Figure 8 A schematic diagram illustrating the workflow of the fourth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 8 As shown in this implementation, when optimizing the process of the modification zoning aggregation scheme for multiple modification and renovation areas, the key renovation areas can be identified first. By analyzing the structural characteristics and stress conditions of the modification areas, areas that have a significant impact on the overall renovation quality can be found. These areas include wall corner areas (such as the inside and outside corners of the building's exterior walls) and weak wall areas (such as areas where the original wall has cracks that need repair, or parts of the wall that have been soaked by rainwater for a long time). The specific construction steps and process requirements corresponding to each key renovation area are retrieved from the construction documents of the modification zoning aggregation scheme as the renovation construction scheme for that area.

[0094] For example, in the renovation of an office building's exterior wall, all internal and external corners are first marked on the architectural drawings as wall corner areas. Then, wall strength is measured using wall testing equipment, and areas with strength lower than 80% of the design standard are marked as weak areas. These marked areas together constitute the key renovation areas. In residential buildings, the intersection of two perpendicular walls at the exterior wall corner is the wall corner area. Areas in the exterior wall that have had cracks repaired due to foundation settlement are also weak areas.

[0095] S132d. Among the renovation construction plans corresponding to multiple key renovation areas within the revised renovation area, determine the construction plan with the most stringent process standards as the target renovation construction plan. Determine the connection construction plan for the revised renovation area corresponding to the target renovation construction plan as the target connection construction plan. Revise the construction plan for each revised renovation area to the target renovation construction plan, and revise the connection construction plans for adjacent revised renovation areas to the target connection construction plan.

[0096] In this implementation method, renovation construction plans for multiple key renovation areas can be compared to determine the plan with the strictest process standards as the target renovation construction plan. Specifically, the construction plan with the highest requirements can be selected by comparing parameters such as the depth of base sanding, coating thickness, and material weather resistance in the plans.

[0097] For example, the renovation area includes three key areas: the north wall corner, the weak area of ​​the west wall, and the south wall corner. The north wall corner requires a 5mm sanding depth and a 350μm coating thickness; the weak area of ​​the west wall requires a 3mm sanding depth and a 300μm coating thickness; and the south wall corner requires a 3mm sanding depth and a 280μm coating thickness. The north wall has the most stringent process standards and is therefore the target for the renovation project.

[0098] In this implementation, the connection construction scheme of the modified renovation area corresponding to the target renovation construction scheme can be determined as the target connection construction scheme. Specifically, the connection construction scheme of the modified renovation area corresponding to the target renovation construction scheme can be directly obtained and used as the target connection construction scheme.

[0099] For example, the connection construction plan for the modified renovation area corresponding to the target renovation construction plan is to use cross-grinding in the transition area and gradually change the spraying angle during coating construction to ensure uniform thickness transition. This plan is the target connection construction plan.

[0100] In this implementation, the construction plan for each renovated area can be modified to the target renovation construction plan, and process parameters such as the base layer grinding depth and coating thickness can be adjusted; at the same time, the connection construction plan for adjacent renovated areas can be modified to the target connection construction plan to ensure the consistency of the process at the connection parts.

[0101] For example, in the east, south, and west wall areas of the office building, the original base layer sanding depth was 3mm and the coating thickness was 250μm. Now, the sanding depth has been adjusted to 5mm and the coating thickness to 300μm. The original plan for the connection parts of the east and south walls was to directly splice them together. Now, according to the target connection plan, the sanding range has been extended and the coating has been gradually sprayed to unify the connection process.

[0102] This approach effectively improves the overall construction quality of renovated areas by extending the most stringent process standards from key renovation areas to all renovated areas, especially enhancing the durability and stability of vulnerable areas such as wall corners and weak wall areas, thus avoiding renovation defects caused by insufficient process standards in key areas.

[0103] This approach unifies the construction scheme for connecting adjacent renovation areas, resolving quality issues caused by differences in processes at the connection points between different renovation areas. It improves the consistency of processes and structural stability at the connection points, avoids potential renovation hazards such as cracking or detachment due to inconsistent processes, and enhances the durability of the overall renovation effect.

[0104] Figure 9 A flowchart illustrating the fifth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 9 As shown, in some implementations, in S132c above, the renovation construction plans corresponding to multiple key renovation areas are obtained, including S210 to S220. S210 to S220 will be explained in detail below.

[0105] S210. Obtain the historical extreme temperatures and historical rainfall corresponding to the building to be renovated. Determine multiple climate scenarios based on the historical extreme temperatures and historical rainfall. Obtain the optimization objectives, current building status data, and regulatory constraint data for each of the multiple climate scenarios. Construct a multi-objective function based on the optimization objectives, current building status data, and regulatory constraint data for each of the multiple climate scenarios. The current building status data for the key renovation areas includes wall load-bearing capacity and the original insulation layer thickness.

[0106] Figure 10 A schematic diagram of the workflow of the fifth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 10 As shown, in this implementation method, historical meteorological data of the area where the building to be renovated is located over the past 10-20 years can be collected, and historical extreme temperatures (such as a summer maximum temperature of 40℃ and a winter minimum temperature of -10℃) and historical rainfall (such as a maximum annual rainfall of 1200mm and a continuous 3-day rainstorm with rainfall of 200mm) can be extracted. Based on these extreme climate data, multiple climate scenarios such as high temperature and low rainfall, low temperature and high rainfall, and rainstorm and snowstorm can be divided to cover the extreme climate conditions that the building may face.

[0107] In this implementation, a specific optimization objective can be defined for each defined climate scenario. Specifically, the optimization objective for the high-temperature scenario is to improve the thermal insulation performance of the exterior walls, for the low-temperature scenario it is to enhance the thermal insulation effect of the walls, and for the heavy rain scenario it is to improve the waterproofing capability of the walls.

[0108] In this implementation method, the existing building status data of key renovation areas can be collected, the wall bearing capacity (e.g., 200 kPa) can be obtained through structural testing equipment, and the original insulation layer thickness (e.g., 80 mm) can be obtained through drilling and sampling. It can also collect regulatory constraint data, including constraints from GB 50189 "Energy Conservation Design Standard for Public Buildings" in the field of energy conservation (requiring the thermal performance of the building envelope to meet the standards after renovation) and constraints from GB 50003 "Code for Design of Masonry Structures" in the field of structure (requiring the wall bearing capacity to meet the design requirements).

[0109] It should be noted that the standard constraint data may include the constraints of the energy-saving GB 50189 standard (which requires the heat transfer coefficient of the renovated building envelope to be ≤0.4W / (m²·K)) and the constraints of the structural GB 50003 standard (which requires the design value of the compressive strength of the masonry wall to be ≥1.5MPa).

[0110] In this implementation method, a multi-objective function can be constructed by combining the optimization objectives corresponding to multiple climate scenarios, the current building status data of key renovation areas, and the regulatory constraint data. The constraint terms of the multi-objective function include regulatory compliance (the scheme must comply with GB 50189 and GB 50003 standards) and wall load-bearing capacity compliance (the wall load-bearing capacity after the scheme is implemented shall not be less than 80% of the original design value). The optimization terms correspond to the objectives of each climate scenario, such as optimizing the heat transfer coefficient of the external wall in high temperature scenarios, optimizing the thermal resistance of the insulation layer in low temperature scenarios, and optimizing the waterproofing level in rainstorm scenarios.

[0111] It should be noted that the constraint terms of the multi-objective function can be compliance with regulations (the scheme must meet the requirements of GB 50189 and GB 50003) and the compliance of wall bearing capacity (the wall bearing capacity after the scheme is implemented is ≥ 80% of the original design value); the optimization terms can be the objectives corresponding to the climate scenario, such as optimizing "the highest internal surface temperature of the exterior wall in summer ≤ 35℃" in the high temperature scenario, optimizing "the indoor and outdoor temperature difference in winter ≥ 20℃" in the low temperature scenario, and optimizing "the wall surface is impermeable for 24 hours" in the rainstorm scenario.

[0112] S220. By iteratively optimizing the multi-objective function using a differential evolution algorithm, the optimal renovation scheme for each climate scenario is obtained. Based on the optimal renovation scheme for each single scenario, a flexible objective function is constructed, and an initial population of flexible schemes is generated. The flexible objective function is iteratively optimized using a differential evolution algorithm to obtain flexible renovation schemes adapted to multiple climate scenarios. The flexible renovation schemes adapted to multiple climate scenarios are used as the renovation construction schemes for key renovation areas.

[0113] In this implementation, a differential evolution algorithm can be used to iteratively optimize the multi-objective function. An initial population of 100 renovation schemes is set, each scheme containing parameters such as insulation layer thickness (50mm-150mm) and waterproofing material type (e.g., polymer cement waterproofing mortar). The mutation parameter is ±10%, adjusting the scheme parameters (e.g., mutating the insulation layer thickness of a scheme from 100mm to 90mm or 110mm). The parameters of two schemes are merged through cross-operation (e.g., taking 80% of the insulation layer thickness of scheme A and 20% of scheme B). The constraint satisfaction of each scheme (e.g., whether it conforms to GB 50189 standard) and the weighted sum of the standardized objectives (e.g., thermal insulation performance accounts for 40%, waterproofing performance accounts for 60%) are evaluated. The top 50 schemes with the highest weighted sum are retained for the next iteration until the number of iterations reaches a preset value, obtaining the optimal renovation scheme for each climate scenario.

[0114] For example, the iterative process of the differential evolution algorithm can be as follows: with an initial population of 100 solutions, after 10 rounds of mutation, crossover, and evaluation, the optimal solution for a single scenario in the high-temperature scenario is obtained, with an insulation layer thickness of 120mm (using phenolic foam insulation board) and a waterproofing material of 3 layers of polymer cement waterproof mortar; the optimal solution for the low-temperature scenario is an insulation layer thickness of 150mm (using rock wool insulation board) and a waterproofing material of 2 layers of elastomeric modified bitumen waterproof membrane; the optimal solution for the rainstorm scenario is an insulation layer thickness of 80mm (using extruded polystyrene board) and a waterproofing material of 4 layers of polyurethane waterproof coating.

[0115] In this implementation, a flexible objective function can be constructed based on the optimal renovation scheme for each single scenario. The matrix norm of the parameter differences between the current scheme and the optimal schemes for high-temperature, low-temperature, and heavy-rain scenarios can be calculated. The matrix norm can be the square root of the sum of the squares of the differences between the insulation layer thickness of the current scheme and the optimal thicknesses for the three scenarios. The smaller the matrix norm value, the better the adaptability of the scheme to multiple scenarios. Simultaneously, an initial flexible scheme population can be generated, such as 50 "modular insulation layer, weather-resistant and waterproof material" schemes. The thickness of the modular insulation layer is adjustable from 50mm to 150mm, and the number of weather-resistant and waterproof material layers is adjustable from 2 to 4 layers. Each scheme has a different parameter combination.

[0116] In this implementation, the flexible objective function can be iteratively optimized again using the differential evolution algorithm. Based on the initial flexible scheme population, mutation and crossover operations are performed. In each round of iteration, the flexible objective function value of each scheme is calculated, and the scheme with the smaller value (better adaptability) is retained. After multiple rounds of iteration, a flexible renovation scheme that adapts to multiple climate scenarios is obtained. Its parameters such as insulation layer thickness and number of waterproof material layers can balance the needs of high temperature insulation, low temperature insulation, and rainstorm waterproofing.

[0117] For example, the flexible objective function can be defined as the Euclidean distance (i.e., the square root of the sum of squares of the differences) between the current scheme parameters and the optimal parameters for high temperature, low temperature, and heavy rain scenarios. For instance, a scheme with an insulation layer thickness of 100mm and 3 layers of waterproofing material differs from the optimal parameters for high temperature (120mm, 3 layers) by 20mm, from the optimal parameters for low temperature (150mm, 2 layers) by 50mm+1 layer, and from the optimal parameters for heavy rain (80mm, 4 layers) by 20mm+1 layer. Calculating the square root of the sum of squares of these differences yields the value of the flexible objective function. The smaller the value, the better the suitability of the scheme for the three scenarios.

[0118] For example, the initial flexible solution portfolio may include 50 different parameter combinations, such as a 50mm modular insulation layer with two layers of weather-resistant and waterproof material, a 100mm modular insulation layer with three layers of weather-resistant and waterproof material, and a 150mm modular insulation layer with four layers of weather-resistant and waterproof material, covering the adjustable range of key parameters.

[0119] In this implementation method, a flexible renovation scheme that adapts to multiple climate scenarios can be identified as the renovation construction scheme for key renovation areas (such as wall corner areas and weak wall areas). This scheme can not only meet the requirements of different extreme climate scenarios, but also maintain adaptability when the climate fluctuates, ensuring the stability and durability of key areas under complex climate conditions.

[0120] This approach enables renovation plans for critical renovation areas to adapt to various extreme climate scenarios, preventing single-climate-scene plans from failing in other climates and improving the long-term stability and durability of critical renovation areas under complex climatic conditions. Furthermore, the more targeted renovation plans for critical areas enhance their rationality and feasibility, ensuring renovation quality in key areas (such as wall corners and weak wall areas) and reducing construction problems caused by plans that do not conform to current conditions or specifications.

[0121] This implementation first uses a differential evolution algorithm to obtain the optimal renovation scheme for each climate scenario. Then, based on these optimal single-scenario schemes, a flexible objective function is constructed, and an initial flexible scheme population is generated. Next, the differential evolution algorithm is used again to iteratively optimize the flexible objective function, ultimately obtaining a flexible renovation scheme adapted to multiple climate scenarios. It is not a simple combination of single-scenario schemes, but rather an integration of the needs of multiple climate scenarios through the flexible objective function. Then, the algorithm optimizes to find a scheme that can balance multiple climate needs, making the scheme flexible enough to adapt to different climates. This ensures that the renovation construction scheme for key renovation areas can meet the requirements of different extreme climate scenarios and remain adaptable during climate fluctuations, improving the versatility and long-term effectiveness of the scheme and reducing the later maintenance costs caused by climate change.

[0122] Figure 11A flowchart illustrating the sixth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 11 As shown, in some implementations, in the above-mentioned S120, the partition stability evaluation value corresponding to the partition aggregation scheme is determined according to the partition scheme data corresponding to the partition aggregation scheme, including S121 to S122. S121 to S122 will be explained in detail below.

[0123] S121. Obtain the basic zone stability assessment value corresponding to the zone aggregation scheme. Based on the base layer firmness and hollow rate of each renovation area in the zone scheme data, determine the base layer treatment safety index of each renovation area. Based on the fire resistance and weather resistance of each renovation area in the zone scheme data, determine the coating construction safety index of each renovation area.

[0124] Figure 12 A schematic diagram illustrating the workflow of the sixth auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 12 As shown, in this implementation method, the basic zone stability assessment value corresponding to the zone aggregation scheme can be obtained first. This value is based on the initial compliance of the base treatment standards and coating construction process of each renovation area in the scheme. For example, the process compliance and material compliance rate of each area are considered to obtain an initial score reflecting the basic stability level. For example, the basic value of a certain scheme is 85 points.

[0125] In this implementation method, the base layer treatment safety index can be determined by using an empirical value table based on the base layer firmness and hollow rate of each renovation area. The base layer firmness is scored according to the bonding strength (e.g., ≥0.5MPa gets 90 points), and the hollow rate is scored according to the area ratio (e.g., <5% gets 40 points). The sum of the two is the base layer treatment safety index. For example, a certain area gets 70+20=90 points.

[0126] In this implementation method, the coating construction safety index can be determined by using an empirical value table based on the fire resistance rating and weather resistance of each renovation area. The fire resistance rating is scored according to the GB 8624 standard (e.g., B1 level gets 40 points), and the weather resistance is scored according to the accelerated aging test results (e.g., 10-15 years gets 30 points). The sum of the two is the coating construction safety index. For example, a certain area gets 40 + 30 = 70 points.

[0127] For example, the basic zoning stability assessment value can be based on the initial process compliance of each area, such as a scheme that scores 80 points; in the empirical value table of base treatment safety index, the firmness score is 0-100 points and the hollow rate score is 0-50 points, and the base treatment safety index is obtained by adding them together; in the empirical value table of coating construction safety index, the fire resistance score is 0-60 points and the weather resistance score is 0-40 points, and the coating construction safety index is obtained by adding them together.

[0128] S122. When the safety index of the base treatment in the renovation area is greater than or equal to the preset safety index of the base treatment, or the safety index of the coating construction is greater than or equal to the preset safety index of the coating construction, the renovation area is designated as a safety risk area. The number and location of safety risk areas corresponding to the zoning scheme data are determined.

[0129] In this implementation, a preset base treatment safety index (e.g., 80 points) and a preset coating construction safety index (e.g., 75 points) can be set. When the base treatment safety index of the renovation area is ≥80 points, or the coating construction safety index is ≥75 points, it is considered a safety risk area. For example, if the base treatment safety index of a certain area is ≥80 points (90 points), it is determined to be a safety risk area.

[0130] In this implementation, the number of safety risk areas can be counted and their locations marked using a BIM model. For example, if two safety risk areas are identified, they can be marked as floors 3-5 on the east wall of Building 1 and floors 2-4 on the south wall of Building 1, clearly showing the risk distribution.

[0131] It should be noted that if the safety index of any dimension of the base layer or coating meets the standard, the area is identified as a risk area, because problems in any link may affect the stability of the area.

[0132] S123. Determine the nearest non-risk area surrounding the safety risk area. Determine the distance between the safety risk area and the nearest non-risk area, as the risk area distance. When the risk area distance corresponding to the safety risk area is less than the preset risk area distance, the safety risk area is considered a comprehensive safety risk area. Determine the proportion of non-comprehensive safety risk areas in the partitioning scheme data, as the comprehensive safety area proportion. Multiply the basic partition stability assessment value by the comprehensive safety area to adjust the partition stability assessment value corresponding to the partition aggregation scheme.

[0133] In this implementation, the nearest non-risk area around each safety risk area can be found. The nearest non-risk area refers to the non-risk area within 10 meters of the risk area. For example, the nearest non-risk area of ​​the safety risk area "3rd to 5th floors of the east wall of Building 1" is "6th to 8th floors of the east wall of Building 1".

[0134] In this implementation, the distance between a safe risk area and the nearest non-safe risk area can be determined as the risk area distance. At the same time, a preset risk area distance (such as 2.5 meters) can be set. If the risk area distance corresponding to a safe risk area is less than 2.5 meters, the safe risk area can be listed as a comprehensive safe risk area. For example, if the risk area distance corresponding to a certain safe risk area is 3 meters, which is greater than 2.5 meters, it will be listed as a non-comprehensive safe risk area.

[0135] In this implementation, the proportion of the overall safe area can be calculated. For example, if there are 2 total safe risk areas and 1 overall safe risk area, the proportion of the overall safe area is (2-1) / 2=50%; or if there are 5 total renovation areas and 1 overall safe risk area, the proportion of the overall safe area is (5-1) / 5=80%.

[0136] In this implementation, the basic partition stability assessment value can be adjusted by multiplying the overall safe area percentage. For example, if the basic value is 85 points and the overall safe area percentage is 50%, the adjusted value is 85 × 50% = 42.5 points, thus integrating the impact of basic stability and risk space into the assessment value.

[0137] It should be noted that by screening comprehensive safety risk areas through spatial distance, we can avoid isolated small risks from having an excessive impact on the assessment and improve its rationality.

[0138] For example, the number and location of safety risk areas can be statistically marked using BIM software, such as marking 3 risk areas as "1st to 3rd floors of the west wall of Building 2", etc.; the preset distance between risk areas can be set according to the building type, with 2.5 meters for high-rise buildings and 2 meters for multi-story buildings.

[0139] This approach uses safety indicators from two dimensions—base treatment and coating application—to screen for risk areas. It comprehensively covers safety risk points in both base treatment and coating application, accurately identifies areas with safety risks, and provides accurate basic data for subsequent zonal stability assessments.

[0140] This approach considers the impact of spatial distance between the safety risk area and the surrounding non-risk area on overall stability. By using spatial distance as a factor, it identifies the comprehensive safety risk area that has a greater impact on the overall zoning stability, thus avoiding isolated small risk areas from excessively affecting the assessment results and improving the rationality of the zoning stability assessment.

[0141] This approach combines basic stability assessment with the spatial distribution of risk areas, enabling the zonal stability assessment value to not only reflect the basic stability situation but also incorporate the spatial impact and proportion of risk areas, making it more relevant to real-world scenarios and improving the accuracy of zonal stability assessment.

[0142] In some implementations, S120 above, which determines the partition stability evaluation value corresponding to the partition aggregation scheme based on the partition scheme data corresponding to the partition aggregation scheme, also includes S124 to S125. S124 to S125 will be explained in detail below.

[0143] S124. Obtain the distance of the preset key risk area corresponding to the key renovation area.

[0144] In this implementation, a preset critical risk area distance can be obtained for the critical renovation area. This distance is a threshold determined in advance based on the risk sensitivity characteristics and impact range of the critical renovation area (such as wall corner area or wall weak area). It is used to determine whether the critical renovation area belongs to the comprehensive safety risk area with a greater impact on the overall zoning stability when it is regarded as a safety risk area.

[0145] For example, for critical renovation areas such as wall corners, the preset critical risk area distance can be set at 1.5 meters; for weak areas of the wall, the preset critical risk area distance can be set at 1.2 meters. These values ​​are determined based on the risk propagation characteristics of critical areas and actual engineering experience.

[0146] S125. When the safety risk area is a critical renovation area, and the distance of the corresponding risk area is less than the preset critical risk area distance, the safety risk area shall be regarded as a comprehensive safety risk area.

[0147] In this implementation, when the identified security risk area belongs to the critical renovation area, the distance between the security risk area and the nearest non-security risk area (i.e., the risk area distance) can be calculated first, and then the distance can be compared with the preset critical risk area distance. If the risk area distance is less than the preset critical risk area distance, the security risk area is determined as a comprehensive security risk area so that its impact on the stability of the partition can be evaluated in the future.

[0148] For example, a safety risk area is a corner area of ​​a building's exterior wall (a critical renovation area). The nearest non-safety risk area is 1.8 meters away, while the corresponding pre-defined critical risk area is 1.5 meters away. Since 1.8 meters is greater than 1.5 meters, the safety risk area of ​​this corner area can be identified as a comprehensive safety risk area and included in the risk considerations of subsequent zoning stability assessments.

[0149] This implementation method sets a special distance threshold for the special characteristics of critical renovation areas, avoiding the inapplicability of ordinary thresholds to critical areas, and improving the comprehensive safety risk assessment of critical renovation areas as safety risk areas. This is because critical renovation areas, such as wall corners and weak wall areas, are usually more sensitive to risks, and the special distance threshold is more in line with the actual situation of risk propagation or impact, making the risk assessment of critical areas more in line with their characteristics.

[0150] Figure 13 A flowchart illustrating the seventh auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 13 As shown, in some implementations, the above method also includes S310 to S320, which will be described in detail below.

[0151] S310. Obtain the usage frequency weight, preference weight, and population density weight corresponding to the renovation area; obtain the resident usage frequency, renovation effect preference, and population density corresponding to the renovation area as user data; based on the user data, determine the usage frequency fit, preference matching degree, and population density fit corresponding to the renovation area; based on the usage frequency fit, preference matching degree, and population density fit, determine the sum of the products of the usage frequency fit and usage frequency weight, the preference matching degree and preference weight, and the population density fit and population density weight corresponding to the renovation area, as the user fit evaluation value corresponding to the renovation area.

[0152] Figure 14 A schematic diagram of the workflow for the seventh auxiliary design method for building exterior wall renovation provided in this application embodiment is shown below. Figure 14 As shown, in this implementation, the functional attributes of the renovation area (such as residential or commercial) and the priority of user needs can be combined to set usage frequency weight, preference weight and population density weight for each renovation area. These weights reflect the degree of influence of different factors on user suitability. For example, the preference weight of residential areas can be higher than that of commercial areas to highlight residents' attention to the renovation effect.

[0153] In this implementation method, the frequency of resident use, renovation effect preferences, and population density of the renovated area can be obtained as user data through resident survey questionnaires, community statistics, or smart device monitoring. The frequency of resident use reflects how often the area is used, the renovation effect preferences are the residents' inclinations for the aesthetics and durability of the walls, and the population density reflects the degree of overcrowding in the area.

[0154] In this implementation, user data and fit can be correlated using an empirical value table. For example, the higher the frequency of use by residents, the higher the frequency of use fit; the better the renovation effect preference matches the preset plan, the higher the preference matching degree; the better the population density matches the regional carrying capacity, the higher the population density fit. This can transform user needs into quantifiable fit indicators.

[0155] In this implementation, the frequency of use fit, preference fit, and population density fit can be weighted and summed according to the frequency of use weight, preference weight, and population density weight to obtain the user fit evaluation value. This evaluation value comprehensively reflects the degree of fit of the renovation area to the multi-dimensional needs of users, and provides a basis for user needs at the level of subsequent zoning adjustments.

[0156] For example, using frequency fit (0.8) multiplied by weight (0.3) gives 0.24, preference fit (0.9) multiplied by 0.4 gives 0.36, population density fit (0.7) multiplied by 0.3 gives 0.21, and the sum is 0.81, which is the user fit evaluation value.

[0157] S320. Obtain the first feedback association weight, the second feedback association weight, and the user fit weight; determine the sum of the product of the first feedback association weight and the first feedback association coefficient, the product of the second feedback association weight and the second feedback association coefficient, and the product of the user fit weight and the user fit evaluation value, as the partition adjustment coefficient.

[0158] In this implementation, the first feedback association weight, the second feedback association weight, and the user fit weight can be obtained, and the sum of the product of the first feedback association weight and the first feedback association coefficient, the product of the second feedback association weight and the second feedback association coefficient, and the product of the user fit weight and the user fit evaluation value can be determined as the partition adjustment coefficient.

[0159] This implementation incorporates user needs such as actual usage habits, effect preferences, and regional population density into the core calculation logic of zoning adjustment, replacing the original zoning adjustment coefficient calculation method that only relied on technical indicators. This makes the zoning adjustment coefficient more in line with the user's real needs, avoiding the problem of the solution being out of touch with user needs due to adjustments only from a technical perspective, and improving the adaptability of the renovation solution to user scenarios.

[0160] This implementation expands the calculation basis of the zoning adjustment coefficient from the technical level of stability and consistency correlation coefficients to the user level of usage, preferences and population density data, making the calculation logic more comprehensive. Ultimately, the zoning adjustment results not only meet technical requirements, but also better match the actual user experience and expected needs, thus improving the practicality of the renovation plan.

[0161] In some implementations, S110 above obtains a partitioned aggregation scheme for renovating multiple renovation areas of the building's exterior wall, including S111 to S112. S111 to S112 will be explained in detail below.

[0162] S111. Obtain the current project working condition data and a database of historical exterior wall renovation cases, including historical case data. Determine the current working condition feature vector corresponding to the current project working condition data, and determine the historical case feature vector corresponding to the historical case data.

[0163] In this implementation, the specific working condition information of the current building exterior renovation project can be collected as the current project working condition data. At the same time, a historical database storing information on past exterior renovation projects can be retrieved, which includes data such as working conditions, zoning schemes, and construction effects of multiple historical cases.

[0164] For example, the current project is the renovation of the exterior walls of a residential community in Hangzhou built in 2000. The current project data includes the building year as 2000, the wall material as aerated concrete, the climate type of the area as subtropical monsoon, and the original exterior wall paint as acrylic. The historical case database stores a case of exterior wall renovation in Hangzhou in 2019, which was built in 2002, with aerated concrete walls and a subtropical monsoon climate. It includes the zoning framework, construction process and acceptance results of the case.

[0165] In this implementation, the information of each dimension in the current project working condition data can be quantified into numerical values ​​to form the current working condition feature vector; similarly, the corresponding dimension information in the historical case data can be quantified to form the feature vector of each historical case.

[0166] For example, the construction year of the current project (2000) is normalized to 0.5 within the range of 1990-2010, the wall material (aerated concrete) is coded as 1, the climate type (subtropical monsoon) is coded as 3, and the original paint type (acrylic) is coded as 2, resulting in the current condition feature vector [0.5,1,3,2]. In the historical case, the construction year of the project built in 2002 is normalized to 0.6, and the other dimensions are coded the same, resulting in the historical case feature vector [0.6,1,3,2].

[0167] It should be noted that the current working condition feature vector and the historical case feature vector are numerical vectors obtained by quantizing the working condition data. For example, the current working condition feature vector is [0.5 (normalized value of building age), 1 (aerated concrete code), 3 (subtropical monsoon code), 2 (acrylic code)]; the historical case feature vector is [0.6 (normalized value of building age in 2002), 1, 3, 2].

[0168] S112. Determine the cosine similarity between the current working condition feature vector and the feature vectors of multiple historical cases. Identify the target historical case feature vectors with a cosine similarity greater than or equal to a preset cosine similarity, and obtain the similar historical case data corresponding to the similar historical case feature vectors. Obtain the baseline partitioning framework corresponding to the similar historical case data. Decompose the building exterior wall according to the baseline partitioning framework, as multiple renovation areas of the building exterior wall.

[0169] In this implementation, the similarity between the current working condition feature vector and the feature vector of each historical case can be calculated using the cosine similarity formula, which is the dot product of the two vectors divided by the product of their magnitudes.

[0170] For example, the current working condition feature vector A = [0.5, 1, 3, 2] and the historical case feature vector B = [0.6, 1, 3, 2]. The dot product is 0.5 × 0.6 + 1 × 1 + 3 × 3 + 2 × 2 = 14.3. The magnitude of vector A is 3.775 and the magnitude of vector B is 3.79. The cosine similarity is 14.3 / (3.775 × 3.79) ≈ 1.0, reflecting that the two vectors are highly similar in direction.

[0171] In this implementation, a preset cosine similarity (e.g., 0.8) can be set, and historical case feature vectors with similarity exceeding this value can be selected as targets to retrieve their corresponding historical case data.

[0172] For example, if the preset cosine similarity is 0.8, the similarity between the feature vector of the above historical case and the feature vector of the current working condition is 1.0, which is greater than 0.8. Therefore, the historical case is the target case, and its similar historical case data is obtained, including the partitioning framework, construction process parameters and acceptance report of the case.

[0173] In this implementation, a proven partitioning structure can be extracted from similar historical case data as a baseline partitioning framework, and then the current building exterior wall can be divided into multiple renovation areas according to this framework.

[0174] For example, the baseline zoning framework for similar historical cases is "main wall area, corner area, and door and window perimeter area". The main wall area accounts for 70% of the exterior wall area (such as the large flat walls on each floor), the corner area accounts for 15% (such as wall corners and balcony corners), and the door and window perimeter area accounts for 15% (such as the walls around windows and doors). According to this framework, the current building's exterior walls are divided into three renovation areas: the large flat walls are divided into the main wall area, the wall corners and balcony corners are divided into the corner area, and the areas around windows and doors are divided into the door and window perimeter area.

[0175] This implementation method matches similar historical cases using the cosine similarity of working condition characteristics, reuses their baseline partitioning framework, avoids designing partitions from scratch, improves the matching degree between the partitioning aggregation scheme and the current project working conditions, and reduces the blindness of partitioning design; it utilizes the partitioning experience of adapting to similar working conditions in historical cases to ensure the effectiveness of the partitioning framework, generates renovation areas based on the baseline partitioning framework of similar historical cases, improves the pertinence and reliability of the partitioning aggregation scheme, and avoids unreasonable partitioning problems caused by lack of experience.

[0176] This application also provides an auxiliary design system for building exterior wall renovation, including a unit for implementing the above-described auxiliary design method for building exterior wall renovation.

[0177] Figure 15 A logical structure diagram of an auxiliary design system for building exterior wall renovation provided in this application embodiment is shown below. Figure 15 As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to send and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above-described method. The beneficial effects of the embodiments of this application have been described in the above-described method and will not be repeated here.

[0178] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0179] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0180] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0181] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0182] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0183] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0184] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0185] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An auxiliary design method for building exterior wall renovation, characterized in that, The method includes: Obtain zoned aggregation schemes for renovating multiple areas of the building's exterior walls; obtain zoned scheme data and cross-zone scheme data corresponding to each zoned aggregation scheme; wherein, the zoned scheme data includes base treatment standard data and coating construction process data for each renovation area, and the cross-zone scheme data includes physical range data for each renovation area and connection method data for adjacent renovation areas; Based on the partition scheme data corresponding to the partition aggregation scheme, determine the partition stability assessment value corresponding to the partition aggregation scheme; based on the cross-regional scheme data corresponding to the partition aggregation scheme, determine the cross-regional scheme consistency assessment value corresponding to the partition aggregation scheme; based on the partition stability assessment value corresponding to the partition aggregation scheme, determine the first feedback correlation coefficient corresponding to the partition aggregation scheme; based on the cross-regional scheme consistency assessment value corresponding to the partition aggregation scheme, determine the second feedback correlation coefficient. Based on the first feedback correlation coefficient and the second feedback correlation coefficient, determine the partition adjustment suggestions corresponding to the partition aggregation scheme.

2. The method according to claim 1, characterized in that, Based on the first feedback correlation coefficient and the second feedback correlation coefficient, the corresponding partition adjustment suggestions for the partition aggregation scheme are determined, including: Obtain the first feedback correlation weight and the second feedback correlation weight, and determine the sum of the product of the first feedback correlation weight and the first feedback correlation coefficient, and the product of the second feedback correlation weight and the second feedback correlation coefficient, as the partition adjustment coefficient; When the partition adjustment coefficient is greater than or equal to the preset partition adjustment coefficient, the partition aggregation scheme remains unchanged; when the partition adjustment coefficient is less than the preset partition adjustment coefficient, multiple renovation areas in the partition aggregation scheme are merged to obtain a modified partition aggregation scheme that includes multiple modified renovation areas; the modified partition aggregation scheme with multiple modified renovation areas is then optimized in terms of partition process and cross-region process.

3. The method according to claim 2, characterized in that, When the partition adjustment coefficient is less than the preset partition adjustment coefficient, multiple renovation areas in the partition aggregation scheme are merged to obtain a corrected partition aggregation scheme that includes multiple corrected renovation areas, including: Obtain the stability assessment values ​​of the renovation areas corresponding to each of the multiple renovation areas; divide the multiple renovation areas into multiple renovation area groups according to the stability assessment value range to which the renovation area stability assessment value belongs, and different renovation area groups correspond to different stability assessment value ranges; Merge multiple renovation areas within each renovation area group into a single corrected renovation area. Different renovation area groups correspond to different corrected renovation areas.

4. The method according to claim 3, characterized in that, The modification partitioning aggregation scheme for multiple modification and renovation areas is optimized in terms of both partitioning and cross-regional processes, including: Identify several key renovation areas within the renovation area and obtain renovation construction plans corresponding to each key renovation area; among them, the key renovation areas include wall corner areas and weak wall areas; Among the renovation construction plans corresponding to multiple key renovation areas in the renovation area, the construction plan with the strictest process standards is determined as the target renovation construction plan; the connection construction plan of the renovation area corresponding to the target renovation construction plan is determined as the target connection construction plan; the construction plan of each renovation area is modified to the target renovation construction plan, and the connection construction plan of adjacent renovation areas is modified to the target connection construction plan.

5. The method according to claim 4, characterized in that, Obtain renovation plans for multiple key renovation areas, including: Obtain historical extreme temperatures and historical rainfall for the building to be renovated; determine multiple climate scenarios based on historical extreme temperatures and historical rainfall; obtain optimization objectives, building status data and regulatory constraint data for the key renovation areas corresponding to the multiple climate scenarios; construct a multi-objective function based on the optimization objectives, building status data and regulatory constraint data for the key renovation areas corresponding to the multiple climate scenarios; among which, the building status data for the key renovation areas includes wall load-bearing capacity and original insulation layer thickness; By using differential evolution algorithm to iteratively optimize the multi-objective function, the optimal renovation scheme for each climate scenario is obtained. Based on the optimal renovation scheme for each single scenario, a flexible objective function is constructed, and an initial flexible scheme population is generated. The flexible objective function is iteratively optimized using differential evolution algorithm to obtain a flexible renovation scheme that adapts to multiple climate scenarios. The flexible renovation scheme that adapts to multiple climate scenarios is used as the renovation construction scheme for key renovation areas.

6. The method according to claim 5, characterized in that, Based on the partition scheme data corresponding to the partition aggregation scheme, determine the partition stability assessment value corresponding to the partition aggregation scheme, including: Obtain the basic zone stability assessment value corresponding to the zone aggregation scheme; determine the base treatment safety index of each renovation area based on the base firmness and hollow rate of each renovation area in the zone scheme data; determine the coating construction safety index of each renovation area based on the fire resistance and weather resistance of each renovation area in the zone scheme data. When the safety index of the base treatment in the renovation area is greater than or equal to the preset safety index of the base treatment, or the safety index of the coating construction is greater than or equal to the preset safety index of the coating construction, the renovation area is designated as a safety risk area; determine the number and location of safety risk areas corresponding to the zoning scheme data; Identify the nearest non-risk area surrounding the safety risk area; determine the distance between the safety risk area and the nearest non-risk area, as the risk area distance; when the risk area distance corresponding to the safety risk area is less than the preset risk area distance, the safety risk area is taken as the comprehensive safety risk area; determine the proportion of non-comprehensive safety risk areas in the partitioning scheme data, as the comprehensive safety area proportion; multiply the basic partition stability assessment value by the comprehensive safety area to adjust the partition stability assessment value corresponding to the partition aggregation scheme.

7. The method according to claim 6, characterized in that, Based on the partition scheme data corresponding to the partition aggregation scheme, the partition stability assessment value corresponding to the partition aggregation scheme is determined, which also includes: Obtain the distance to the preset critical risk area corresponding to the critical renovation area; When a security risk area is a critical renovation area, and the distance to the corresponding risk area is greater than or equal to the preset critical risk area distance, the security risk area will be regarded as a comprehensive security risk area.

8. The method according to claim 7, characterized in that, The method further includes: Obtain the usage frequency weight, preference weight, and population density weight corresponding to the renovation area; obtain the resident usage frequency, renovation effect preference, and population density corresponding to the renovation area as user data; based on the user data, determine the usage frequency fit, preference matching, and population density fit corresponding to the renovation area; based on the usage frequency fit, preference matching, and population density fit, determine the sum of the products of the usage frequency fit and usage frequency weight, the preference matching and preference weight, and the population density fit and population density weight corresponding to the renovation area, as the user fit evaluation value corresponding to the renovation area; Obtain the first feedback correlation weight, the second feedback correlation weight, and the user fit weight; determine the sum of the product of the first feedback correlation weight and the first feedback correlation coefficient, the product of the second feedback correlation weight and the second feedback correlation coefficient, and the product of the user fit weight and the user fit evaluation value, as the partition adjustment coefficient.

9. The method according to claim 8, characterized in that, Obtain a zoned aggregation scheme for renovating multiple areas of a building's exterior wall, including: Acquire current project condition data and a database of historical exterior wall renovation cases, including historical case data; determine the current project condition feature vector corresponding to the current project condition data, and determine the historical case feature vector corresponding to the historical case data; Determine the cosine similarity between the current working condition feature vector and the feature vectors of multiple historical cases; determine the target historical case feature vector with a cosine similarity greater than or equal to the preset cosine similarity, and obtain the similar historical case data corresponding to the similar historical case feature vectors; obtain the benchmark partitioning framework corresponding to the similar historical case data; decompose the building exterior wall according to the benchmark partitioning framework, as multiple renovation areas of the building exterior wall.

10. An auxiliary design system for building exterior wall renovation, characterized in that, Includes units for implementing the method of any one of claims 1 to 9.

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