Industrialized implementation method and system for spatial special-shaped unit curtain wall

Abstract

The present application relates to the technical field of building curtain walls, and discloses an industrialized implementation method for spatial special-shaped unit curtain walls. The method includes: the design side uses a BIM modeling tool to generate a first model; the production side performs production feasibility verification based on historical models; determines a first number of historical models whose similarity to the first type of unit corresponding to the first model that has not been produced is greater than a first threshold; and then analyzes whether production is possible based on these historical models; if so, trial production is performed; otherwise, feedback is given to the design side for redesign. Furthermore, the degree of customization of the first type of unit is evaluated, and the first number is dynamically adjusted based on its level; the degree of customization is set based on the score of the first information of the unit. This method strengthens the coordination between design and production by making full use of historical production data and experience, improves the accuracy and efficiency of production feasibility judgment, and reduces production risks and costs.

Description

Technical Field

[0001] The present application relates to the technical field of building curtain walls, and in particular to an industrialized implementation method and implementation system for spatial special-shaped unit curtain walls. Background Art

[0002] With the continuous advancement of modern architectural design concepts, spatially shaped unitized curtain walls have been widely used in various large-scale public buildings, commercial complexes, and super-high-rise buildings. With their unique visual effects and spatial expression, these curtain walls imbue architectural exteriors with exceptional artistic value and a personalized identity. However, the production of these unitized curtain walls presents numerous challenges. For one thing, their complex geometry and variable spatial structure significantly increase the complexity of the production process. Compared to traditional regular curtain wall units, these units require more sophisticated processing techniques and customized processes in every step, including cutting, forming, assembly, connection, and surface treatment. For example, the irregular geometry of the unitized units, with varying parameters such as side length, angle, and curvature, places extremely high demands on the precision and flexibility of the cutting equipment. Traditional cutting processes may struggle to meet these precision requirements, thus impacting the assembly accuracy and overall quality of the unitized units.

[0003] On the other hand, spatially shaped unitized curtain walls typically require a high degree of customization. Different building projects have vastly different requirements for unit shape, size, material, performance, and installation methods, making it difficult to directly apply previous experience and standardized production models. When faced with a new special-shaped unitized curtain wall production task, factories often need to invest significant time and resources in feasibility studies and technical exploration to determine whether they can meet design requirements and achieve efficient and economical production.

[0004] Under the current production model, there's a disconnect between information communication and collaboration between the design and production sides. Designers typically use tools like Building Information Modeling (BIM) to complete curtain wall design and modeling. However, upon receiving the design models, production teams lack a systematic and efficient method for verifying production feasibility. Production staff often rely on experience and subjective judgment to assess the manufacturability of newly designed, custom-shaped units. This approach is not only inaccurate but also leads to repeated trial and error during production, increasing production costs and project timelines.

[0005] Furthermore, historical production data was insufficiently utilized during the production feasibility assessment process. The factory had accumulated a wealth of historical models and production experience through long-term production practices. However, due to a lack of effective data mining and analysis methods, this valuable resource could not be fully utilized to provide strong reference and guidance for the production of new special-shaped unit walls. This not only limited production efficiency but also made it difficult for the factory to respond quickly and accurately to the highly customized and complex and ever-changing production needs of special-shaped unit walls.

[0006] Therefore, how to improve the production efficiency and quality of the implementation of spatial special-shaped unit curtain walls and reduce production costs is an issue that needs to be urgently addressed. Summary of the Invention

[0007] The object of the present invention is to provide an industrialized implementation method, system, computer-readable storage medium and electronic equipment for spatial special-shaped unit curtain walls, so as to at least partially solve the above-mentioned problems.

[0008] According to one aspect of the present application, an industrialized implementation method for a spatial irregular unit curtain wall is proposed, comprising: step S1, designing and modeling the spatial irregular unit curtain wall using a BIM modeling tool to generate a first model.

[0009] Step S2, verifying the production feasibility of the first model based on the historical model produced by the factory, specifically includes: step S21, in response to the spatial irregular unit curtain wall corresponding to the first model being a first type of unit, determining a first number of historical models whose similarity to the first type of unit is greater than a first threshold, where the first type of unit is a unit that has not been produced by the factory.

[0010] Step S22: determine whether production is possible based on the analysis of the first number of historical models. If so, conduct trial production on the first model to obtain a trial production sample. If not, redesign the first model.

[0011] Optionally, the method also includes that the similarity is obtained by comparing the first information features of the first type of unit body and the historical model, specifically by calculating the first distance between the first information features of the two, the first distance is the Euclidean distance based on mutual information, and the first information includes at least geometric complexity, proportion of non-standard parts, material, performance parameters, mold and tooling investment, and installation and debugging difficulty.

[0012] Optionally, the method further includes evaluating the degree of customization of the first type of unit body and dynamically adjusting the first quantity based on the degree of customization, including: if the degree of customization is higher than a second threshold, adjusting the first quantity to a second quantity, wherein the second quantity is greater than the first quantity.

[0013] Optionally, the method further includes: evaluating the degree of customization of the first type unit body comprises: setting a customization degree level based on a score of the first information of the first type unit body.

[0014] The present application also provides an industrialized implementation system for a spatial special-shaped unit curtain wall, comprising: a design module for designing and modeling the spatial special-shaped unit curtain wall using a BIM modeling tool to generate a first model.

[0015] A verification module is used to verify the production feasibility of the first model based on the historical model of factory production; the verification module also includes a first verification sub-module and a second verification sub-module, the first verification sub-module is used to, in response to the fact that the spatial irregular unit curtain wall corresponding to the first model is a first type of unit, determine a first number of historical models whose similarity with the first type of unit is greater than a first threshold value, the first type of unit being a unit that has not been produced by the factory, the second verification sub-module is used to analyze and determine whether production is possible based on the first number of historical models, if so, conduct trial production on the first model to obtain a trial production sample, if not, redesign the first model.

[0016] Optionally, the system also includes that the similarity is obtained by comparing the first information features of the first type of unit body and the historical model, specifically by calculating the first distance between the first information features of the two, the first distance is the Euclidean distance based on mutual information, and the first information includes at least geometric complexity, proportion of non-standard parts, material, performance parameters, mold and tooling investment, and installation and debugging difficulty.

[0017] Optionally, the system further includes an adjustment module for evaluating the degree of customization of the first type of unit body and dynamically adjusting the first quantity based on the degree of customization, including: if the degree of customization is higher than a second threshold, adjusting the first quantity to a second quantity, wherein the second quantity is greater than the first quantity.

[0018] Optionally, the system further includes that the evaluating the customization degree of the first type unit body comprises: setting a customization degree level based on a score of the first information of the first type unit body.

[0019] The present application also provides a computer-readable storage medium storing a computer program, including the steps of the above method executed when the computer program is executed by a processor.

[0020] An embodiment of the present application further provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the steps in the above method by calling the computer program stored in the memory.

[0021] The present application discloses an industrialized implementation method for spatial special-shaped unit curtain walls. The design side uses a BIM modeling tool to generate a first model, and the production side verifies the production feasibility based on historical models. First, determine a first number of historical models whose similarity with the first type of unit corresponding to the first model that has not been produced is greater than a first threshold, and then analyze whether it can be produced based on these historical models. If so, trial production is carried out, otherwise feedback is given to the design side for redesign. Furthermore, the degree of customization of the first type of unit is evaluated, and the first number is adjusted dynamically based on its high or low level. The degree of customization is set based on the score of the first information of the unit. This method strengthens the coordination between design and production by making full use of historical production data and experience, improves the accuracy and efficiency of production feasibility judgment, and reduces production risks and costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of an industrialized implementation method of a spatial special-shaped unit curtain wall provided in an embodiment of the present application.

[0023] Figure 2 A schematic diagram of an industrialized implementation system for a spatial special-shaped unit curtain wall provided in an embodiment of the present application.

[0024] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following is a further description of specific embodiments of the present invention in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is intended to facilitate understanding of the present invention and does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0026] It should be noted that, in this application, the terms "first," "second," and various numerical references are used to distinguish between different categories for ease of description and are not intended to limit the scope of the embodiments of this application. For example, they are used to distinguish between different classification results, rather than to describe a specific order or precedence. It should be understood that the terms described in this manner are interchangeable, where appropriate, to enable description of solutions beyond the embodiments of this application.

[0027] Specifically, Figure 1 The following is a flowchart showing a specific implementation method of an industrialized implementation method of a spatial irregular unit curtain wall provided by an embodiment of the present application. Figure 1 The present application provides a method, and the specific steps are as follows: Step S1, using BIM modeling tools to design and model the spatial special-shaped unit curtain wall to generate a first model.

[0028] In one embodiment, designers can use professional BIM modeling tools such as CAD, Rhino, and INVENTOR, or combine them with self-programmed interface conversion software to batch design models by writing program code. This embodiment is not specifically limited. According to the architectural design drawings and relevant technical requirements, a three-dimensional model of the curtain wall is constructed in a virtual environment. For example, a special-shaped unit curtain wall of a super-high-rise building is modeled. The curtain wall is composed of multiple complex spatial units such as triangles, quadrilaterals, pentagons, and hexagons, each with a different shape, size, and spatial position. The designer inputs the geometric parameters of each unit (such as the radius of curvature of the surface, the length and angle of each edge), material information (such as the type of glass, the material and specifications of the metal frame), performance requirements (such as wind pressure resistance, water tightness, air tightness, etc.), and detailed information such as the connection method between each component, thereby constructing a complete curtain wall BIM model, namely the first model. This model shows the distribution of the curtain wall units in the building space, the connection relationship, and the detailed structure of each unit.

[0029] Step S2, verifying the production feasibility of the first model based on the historical model produced by the factory, specifically includes: Step S21, in response to the spatial irregular unit curtain wall corresponding to the first model being a first type of unit, determining a first number of historical models whose similarity to the first type of unit is greater than a first threshold, where the first type of unit is a unit that has not been produced by the factory.

[0030] Step S22: determine whether production is possible based on the analysis of the first number of historical models. If so, conduct trial production on the first model to obtain a trial production sample. If not, redesign the first model.

[0031] In one embodiment, at the production end, the production feasibility of the first model is verified based on historical models of factory production. Historical models refer to models of various unit curtain walls previously produced by the factory and stored in the factory's production model database. It is understood that if the spatially shaped unit curtain wall corresponding to the first model can be directly found in the production model database, that is, the factory has historically produced it, no verification is required. For a first type of unit that has not been historically produced by the factory, a first number of historical models are determined whose similarity to the first type of unit is greater than a first threshold.

[0032] Among them, the judgment of similarity can be determined by comparing multiple features of the first type of unit body with the historical model, such as geometric shape, structural form, materials used, processing technology requirements, etc. Specifically: first, extract model features, and extract key feature parameters of the first type of unit body from the first model, including geometric shape parameters (such as side length, angle, curvature, etc.), non-standard component types and quantity ratio, material type and characteristics (such as strength, elastic modulus, weather resistance, etc.), performance parameters (such as air tightness, water tightness, thermal insulation performance indicators, etc.), mold and tooling usage (such as whether special molds are required, the complexity and quantity of tooling, etc.), and installation and debugging difficulty (such as installation sequence, operating space, debugging accuracy requirements, etc.).

[0033] At the same time, the same characteristic parameters of the unit bodies corresponding to each historical model are extracted from the factory's historical model database. For example, for a hexagonal spatial irregular unit body (first type unit body), its geometric shape parameters include the lengths of the six sides and the angles of the six internal angles; the proportion of non-standard components; the material is aluminum alloy, and the strength grade, elastic modulus, and weather resistance meet the corresponding industry standards; airtightness performance must meet certain standards, and watertightness performance must not leak under a certain water pressure; three special molds and five sets of tooling are required, resulting in high mold and tooling investment costs; in terms of installation and commissioning difficulty, the installation sequence is relatively complex and must be carried out on a specific assembly line with limited operating space, and the commissioning accuracy must reach ±2mm.

[0034] Secondly, the characteristic parameters of the extracted first type of unit body and the historical model are compared one by one. Since the dimensions and value ranges of different characteristic parameters may be different (such as geometric parameters in millimeters, performance parameters expressed in specific index values, etc.), these parameters need to be standardized so that they are within the same dimensional range to facilitate subsequent similarity calculations. The Z-Score standardization method can be used to convert each characteristic parameter value into a standardized value relative to its mean and standard deviation. For example, there are multiple pentagonal unit body models in the historical database, and their geometric shape parameters, non-standard component ratio and other characteristic parameters are extracted respectively, and compared with the characteristic parameters of the above-mentioned hexagonal unit body. For example, the side length, internal angle angle, and non-standard component ratio of a pentagonal unit body are 15%, etc. After Z-Score standardization of all these characteristic parameters, the corresponding standardized values ​​are obtained.

[0035] In one possible embodiment, the weighted Euclidean distance method is used to calculate the similarity between the first type unit body and each historical model. According to the degree of influence of each characteristic parameter on production feasibility, a corresponding weight coefficient is assigned to it, where the weight coefficient can be set according to actual conditions and experience, and this embodiment does not impose any restrictions. The calculation formula is as follows: The standardized characteristic parameter vector of the first type unit body is , the standardized characteristic parameter vector of the historical model is , each weight coefficient is , then the similarity S is: ; where i ranges from 1 to n. The calculated similarity S value is between 0 and 1. The closer S is to 1, the higher the similarity.

[0036] Exemplarily, the similarity between the hexagonal unit cell and each pentagonal unit cell historical model is calculated based on a preset weight coefficient. For example, after calculation, the similarity S between one pentagonal unit cell model and the hexagonal unit cell is 0.75, indicating that the two have a high similarity. A first threshold is set to, for example, 0.7, and a first number of historical models whose similarity is greater than the threshold are screened from the historical models. Usually, in order to increase the diversity of reference historical models, 5-10 historical models with a similarity greater than the first threshold are randomly selected. The number of historical models selected and the specific value of the first threshold can be set according to actual conditions and experience, and are not limited in this embodiment.

[0037] Preferably, in order to further improve the accuracy of the similarity measurement, in one possible embodiment, the Euclidean distance method based on mutual information is used to calculate the similarity between the first type of unit body and each historical model. The Euclidean distance method based on mutual information is an algorithm that calculates the similarity between two samples based on the mutual information between the various features of each sample. For example, the algorithm includes the following steps: 1. Feature parameter extraction and standardization: For each sample (including the first type of unit body and the unit body of the historical model), extract multiple feature parameters, and use the Z-Score normalization method to standardize these parameters. Calculate the mutual information between the features within each sample: For each sample, calculate the mutual information between its various features. The calculation formula for mutual information is: ; Where X and Y represent two features respectively, is the joint probability distribution of X and Y, and are the marginal probability distributions of X and Y respectively.

[0038] Construct a mutual information matrix: For each sample, construct a mutual information matrix, where the elements of the matrix represent the mutual information between the corresponding features in the sample.

[0039] Calculate the similarity of the mutual information matrices of two samples: treat the mutual information matrices of the two samples as vectors and calculate the similarity between them. For example, the similarity can be calculated using the following methods: (1) Vectorization and standardization: vectorize the two mutual information matrices separately and standardize the vectors to make them have the same dimension and range; (2) Similarity measurement: vectorize the two mutual information matrices to obtain vector A and vector B, and calculate the Euclidean distance between vector A and vector B. , where n represents the vector length and the similarity is defined as: .

[0040] For example, the mutual information matrix of the first model sample A is:

[0041] The mutual information matrix of a historical model sample B is:

[0042]

[0043] The mutual information matrix of sample A is vectorized as follows: VectorA=[0,0.8,0.5,0.6,0.3,0.4,0.8,0,0.7,0.5,0.4,0.6,0.5,0.7,0,0.9,0.5,0.6,0.6,0.5,0.9,0,0.7,0.8,0.3,0.4,0.5,0.7,0,0.5,0.4,0.6,0.6,0.8,0.5,0].

[0044] The mutual information matrix of sample B is vectorized as follows: VectorB=[0,0.7,0.4,0.5,0.2,0.3,0.7,0,0.6,0.4,0.3,0.5,0.4,0.6,0,0.8,0.4,0.5,0.5,0.4,0.8,0,0.6,0.7,0.2,0.3,0.4,0.6,0,0.4,0.3,0.5,0.5,0.7,0.4,0].

[0045]

[0046] The modulus of vector A is: , the modulus of vector B: , similarity .

[0047] Mutual information measures the correlation between two features, not just their numerical differences. By calculating the mutual information between features within each sample, we can capture the complex relationships between features and improve the robustness of similarity calculations. Furthermore, by analyzing the mutual information matrix, we can identify redundant features or highly correlated feature pairs, enabling feature dimensionality reduction or compression. This not only reduces computational complexity but also improves the efficiency of similarity calculations. Furthermore, mutual information can effectively handle complex relationships between multi-dimensional features. For high-dimensional data, the mutual information matrix can provide a more comprehensive description of the relationships between features, thereby improving the accuracy of similarity calculations.

[0048] Next, step S22 determines whether production is feasible based on the first number of historical models. Specifically, the production end extracts key information from historical production data and conducts multi-dimensional verification of the production feasibility of the first model. First, the production experience of the historical model is reviewed. The manufacturability of the first model is inferred by tracing the actual production records (success / failure cases, process parameters, resource input, etc.) of similar historical models. This analysis specifically includes statistical analysis of historical production results, such as the ratio of successful to failed production cases for similar models.

[0049] For example: If 8 out of 10 similar models are successfully produced, and the failure cases are all due to insufficient mold accuracy, it is necessary to check whether the current mold is suitable; compare key process parameters, extract the process parameters of the historical model (such as processing accuracy, welding temperature, assembly sequence), and match them with the design parameters of the first model. For example: If the minimum bending radius of the hyperbolic glass in the historical model is 1m, and the first model requires 0.5m, it is necessary to evaluate whether the existing hot bending equipment can meet it; verify resource reusability, check whether the molds and tooling used in the historical model can be directly reused, or need to be modified (such as adjusting the mold size). For example: If similar models use the same mold to produce aluminum frames, and the cross-sectional shape difference of the aluminum frame of the first model is less than 5%, then it is determined that the mold is reusable.

[0050] In one possible embodiment, the production feasibility determination logic includes process compatibility. If the core process of the similar model (such as special-shaped component processing and unit body lifting) is consistent with the first model, it is determined to be "producible". For example, if the historical model uses "3D CNC engraving + modular assembly", if the first model requires the same process and the parameters are within the equipment capability, it passes the verification; resource availability, evaluating whether the factory's current equipment, production line, and human resources meet production needs. For example, if the production of a similar model occupies 50% of the working hours of a dedicated machine tool, and the machine tool is currently fully occupied, the schedule needs to be adjusted or it needs to be determined to be "unproducible"; risk threshold control, based on common risk points in the production of historical models (such as the breakage rate of special-shaped glass >5%), the risk tolerance threshold of the first model is set. For example, if the proportion of non-standard components in the first model is 20% higher than the average of similar models, and historical data shows that every 10% increase in this proportion will result in a 3% increase in the scrap rate, it is necessary to calculate whether the current scrap rate is within an acceptable range (such as <8%).

[0051] In one possible embodiment, a hierarchical decision on production feasibility is made based on the above analysis. For example, if all similar models are successfully produced and the parameters of the first model completely cover the historical process range, trial production is skipped and mass production is directly initiated. For example, the corresponding conditions may be that the number of similar models is sufficient (e.g., the first number ≥ 5) and the design parameter deviation is less than the historical extreme value (e.g., geometric error < 3%). If there are some historical failure cases that can be solved through process optimization (e.g., adjusting the welding sequence) or resource replenishment (e.g., adding a new fixture), small-batch trial production is performed. The corresponding conditions are, for example, trial production of 3 to 5 unit bodies. If the cause of failure of similar models is uncontrollable factors (e.g., insufficient material properties, equipment limit deviation), and the first model cannot avoid similar problems, redesign is required. The corresponding conditions are, for example, that the historical model breaks due to stress concentration caused by hot bending of glass, and the surface complexity of the first model is higher, and it is determined to be infeasible. If the feasibility is determined, direct feedback is given to the design end for redesign.

[0052] Preferably, the trial production samples are tested for key indicators (such as flatness and seam airtightness) to ensure they meet standards. For example, the feasibility of production is verified by testing the dimensional accuracy, structural strength, and sealing performance of the trial production finished parts. If the analysis determines that the factory's current conditions cannot produce the first type of unit that meets the standards, feedback is provided to the design team, who then redesign the first model to adjust its geometry, material, or structural form.

[0053] Preferably, before step S22 , a step of evaluating the degree of customization of the first type of unit body is added, and the first quantity is dynamically adjusted based on the degree of customization.

[0054] Specifically, the customization level is determined based on the score of the first information of the first type of unit. Taking into account factors such as the uniqueness of the geometric shape, the degree of customization of non-standard components, the specificity of the material, and the personalized requirements for performance parameters, each first information element is assigned a customization score. This score is then weighted to produce an overall customization level, which is then divided into three levels (e.g., low, medium, and high).

[0055] For example, a heptagonal, irregular-shaped unit cell, with a relatively rare geometry in the market, receives a 4-point geometric complexity customization score. Nearly all non-standard components are custom-designed, accounting for 80% of the total, earning a 4-point quantitative score. A novel composite material is used, offering unique optical and thermal insulation properties, earning a 4-point material customization score. Performance parameters far exceed conventional standards, such as a 50% improvement in thermal insulation, earning a 4-point quantitative score. Both molds and tooling are newly designed and manufactured, requiring significant investment, earning a 4-point quantitative score. Installation and commissioning require specialized processes and equipment, making them extremely challenging, earning a 4-point quantitative score. The weighting coefficients for each factor can be determined based on actual conditions and experience. For example, the total customization score is calculated to be 4 × 0.3 + 4 × 0.2 + 4 × 0.15 + 4 × 0.15 + 4 × 0.1 + 4 × 0.1 = 4 (out of 5). If the customization level exceeds a second threshold (e.g., 3.5 points), indicating a high customization level, the first quantity is adjusted to a second quantity, where the second quantity is greater than the first quantity. This is because in cases of high customization, in order to more comprehensively evaluate production feasibility, it is necessary to refer to more similar historical models so as to find references from a wider range of production experience and reduce production risks.

[0056] For example, when the total customization score of a heptagonal unit is 4, which is higher than the second threshold of 3.5, the original first number of 5 similar models is adjusted to a second number of 8. By expanding the reference range of similar models, more information on production processes, equipment adaptation, quality control, and other aspects can be obtained from different types of similar units. This provides a more comprehensive basis for the production feasibility analysis of highly customized heptagonal units, ensuring the accuracy and reliability of the analysis results.

[0057] Through the above implementation methods, the industrialized implementation method of spatially shaped unit curtain walls of this application can effectively combine the advantages of the design and production ends, fully utilize historical production data and experience, and make scientific and accurate judgments on the production feasibility of spatially shaped unit curtain walls. While ensuring the quality of the curtain walls, it can reduce production costs, shorten production cycles, and improve production efficiency.

[0058] Corresponding to the industrialized implementation method of a spatial special-shaped unit curtain wall in the above embodiment, Figure 2 A structural block diagram of an industrialized implementation system for a spatial irregular unit curtain wall provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0059] See also Figure 2As shown, an industrial implementation system 200 of a spatial special-shaped unit curtain wall provided in an embodiment of the present application includes: a design module, which is used by the design end to design and model the spatial special-shaped unit curtain wall using a BIM modeling tool to generate a first model.

[0060] A verification module is used for the production end to verify the production feasibility of the first model based on the historical model of factory production; the verification module also includes a first verification sub-module and a second verification sub-module, the first verification sub-module is used to, in response to the spatial irregular unit curtain wall corresponding to the first model being a first type of unit, determine a first number of historical models whose similarity with the first type of unit is greater than a first threshold value, the first type of unit being a unit that has not been produced by the factory, the second verification sub-module is used to analyze and determine whether production is possible based on the first number of historical models, if so, to conduct trial production on the first model to obtain a trial production sample, if not, to provide feedback to the design end for redesign.

[0061] Optionally, the system also includes that the similarity is obtained by comparing the first type of unit body with the first information of the historical model, and the first information includes at least geometric complexity, proportion of non-standard parts, material, performance parameters, mold and tooling investment, and installation and debugging difficulty.

[0062] Optionally, the system further includes an adjustment module for evaluating the degree of customization of the first type of unit body and dynamically adjusting the first quantity based on the degree of customization, including: if the degree of customization is higher than a second threshold, adjusting the first quantity to a second quantity, wherein the second quantity is greater than the first quantity.

[0063] Optionally, the system further includes that the evaluating the customization degree of the first type unit body comprises: setting a customization degree level based on a score of the first information of the first type unit body.

[0064] Accordingly, an embodiment of the present application further provides an electronic device, which may be a terminal or a server. Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0065] The electronic device 300 includes a processor 301 having one or more processing cores, a memory 302 having one or more computer-readable storage media, and a computer program stored in the memory 302 and executable on the processor. The processor 301 is electrically connected to the memory 302. Those skilled in the art will appreciate that the electronic device structure shown in the figures does not limit the electronic device and may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0066] The processor 301 is the control center of the electronic device 300. It uses various interfaces and lines to connect various parts of the entire electronic device 300. By running or loading software programs (computer programs) and / or units stored in the memory 302 and calling data stored in the memory 302, it executes various functions of the electronic device 300 and processes data, thereby monitoring the electronic device 300 as a whole.

[0067] In an embodiment of the present application, the processor 301 in the electronic device 300 will load the instructions corresponding to the processes of one or more applications into the memory 302 according to the following steps, and the processor 301 will run the applications stored in the memory 302 to realize various functions: Step S1, the design end uses the BIM modeling tool to design and model the spatial special-shaped unit curtain wall to generate a first model.

[0068] Step S2: The production end verifies the production feasibility of the first model based on the historical model produced by the factory, specifically including: Step S21: in response to the spatial irregular unit curtain wall corresponding to the first model being a first type of unit, determining a first number of historical models having a similarity with the first type of unit greater than a first threshold, wherein the first type of unit is a unit that has not been produced by the factory;

[0069] Step S22: determine whether production is possible based on the analysis of the first number of historical models. If so, conduct trial production on the first model to obtain trial production samples. If not, provide feedback to the design end for redesign.

[0070] The specific implementation of the above operations can be found in the aforementioned embodiments and will not be described again here.

[0071] Optional, such as Figure 3 As shown, the electronic device 300 further includes: an implementation unit 303, a communication unit 304, an input unit 305 and a power supply 306. The processor 301 is electrically connected to the implementation unit 303, the communication unit 304, the input unit 305 and the power supply 306 respectively. It can be understood by those skilled in the art that Figure 3The electronic device structure shown in the figure does not constitute a limitation to the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0072] The stacking unit 303 can be used for the industrial implementation of spatial special-shaped unit curtain walls.

[0073] The communication unit 304 can be used to communicate with other devices.

[0074] The input unit 305 may be configured to receive input digital, character information, or user feature information (such as fingerprint, iris, or facial information), and generate keyboard, mouse, joystick, optical, or trackball signal input related to user settings and function control.

[0075] Power supply 306 is used to supply power to various components of electronic device 300. Optionally, power supply 306 can be logically connected to processor 301 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. Power supply 306 can also include one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.

[0076] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0077] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be accomplished by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0078] To this end, an embodiment of the present application provides a computer-readable storage medium, which stores multiple computer programs. The computer programs can be loaded by a processor to execute the steps of an industrial implementation method of a spatial special-shaped unit curtain wall provided by an embodiment of the present application.

[0079] The specific implementation of the above operations can be found in the previous embodiments and will not be repeated here.

[0080] The computer-readable storage medium may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0081] Since the computer program stored in the storage medium can execute the steps of any of the industrial implementation methods for spatial irregular unit curtain walls provided in the embodiments of the present application, the beneficial effects of any of the industrial implementation methods for spatial irregular unit curtain walls provided in the embodiments of the present application can be achieved. For details, please refer to the previous embodiments and will not be repeated here.

[0082] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the flowchart. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0085] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It is apparent to those skilled in the art that various changes, modifications, substitutions, and variations to these embodiments may be made without departing from the principles and spirit of the present invention, and these changes and modifications still fall within the scope of protection of the present invention.

Claims

1. An industrialized implementation method for a spatial special-shaped unit curtain wall, characterized in that: include: Step S1, using a BIM modeling tool to design and model the spatial special-shaped unit curtain wall to generate a first model; Step S2, verifying the production feasibility of the first model based on the historical model of factory production, specifically including: Step S21: in response to the first model corresponding to the spatial irregular unit curtain wall being a first type unit, determining a first number of historical models having a similarity with the first type unit greater than a first threshold, wherein the first type unit is a unit that has not been produced by the factory; Step S22: Analyze and determine whether production is possible based on the first number of historical models. If so, conduct trial production on the first model to obtain a trial production sample. If not, redesign the first model. The step of evaluating the customization degree of the first type of unit and dynamically adjusting the first quantity based on the customization degree includes: if the customization degree is higher than a second threshold, adjusting the first quantity to a second quantity, wherein the second quantity is greater than the first quantity.

2. The industrialized implementation method of a spatial special-shaped unit curtain wall according to claim 1, characterized in that: include: The similarity is obtained by comparing the first information features of the first type of unit body and the historical model, specifically by calculating the first distance between the first information features of the two. The first distance is the Euclidean distance based on mutual information. The first information features include at least geometric complexity, proportion of non-standard parts, material, performance parameters, mold and tooling investment, and installation and debugging difficulty.

3. The industrialized implementation method of a spatial special-shaped unit curtain wall according to claim 1, characterized in that: include: The evaluating the customization degree of the first type unit body includes setting a customization degree level based on a score of the first information feature of the first type unit body.

4. An industrialized implementation system for spatial special-shaped unit curtain walls, characterized in that: include: A design module is used to design and model the spatial special-shaped unit curtain wall using a BIM modeling tool to generate a first model; a verification module for verifying the production feasibility of the first model based on historical models produced by the factory; the verification module further comprising a first verification submodule and a second verification submodule, wherein the first verification submodule is configured to determine, in response to the fact that the spatial irregular unit curtain wall corresponding to the first model is a first type of unit, a first number of historical models having a similarity with the first type of unit greater than a first threshold, wherein the first type of unit is a unit that has not been produced by the factory; and the second verification submodule is configured to analyze and determine, based on the first number of historical models, whether production is feasible, and if so, conduct trial production on the first model to obtain trial production samples; and if not, redesign the first model; The step of evaluating the customization degree of the first type of unit and dynamically adjusting the first quantity based on the customization degree includes: if the customization degree is higher than a second threshold, adjusting the first quantity to a second quantity, wherein the second quantity is greater than the first quantity.

5. The industrialized implementation system of a spatial special-shaped unit curtain wall according to claim 4 is characterized in that: include: The similarity is obtained by comparing the first information features of the first type of unit body and the historical model, specifically by calculating the first distance between the first information features of the two. The first distance is the Euclidean distance based on mutual information. The first information includes at least geometric complexity, proportion of non-standard parts, material, performance parameters, mold and tooling investment, and installation and debugging difficulty.

6. The industrialized implementation system of a spatial special-shaped unit curtain wall according to claim 4, characterized in that: include: The evaluating the customization degree of the first type unit body includes setting a customization degree level based on a score of the first information of the first type unit body.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is executed.

8. An electronic device, characterized in that: The method comprises a memory storing executable program code and a processor coupled to the memory; wherein the processor calls the executable program code stored in the memory to execute the method according to any one of claims 1 to 3.

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