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

Abstract

The invention relates to the technical field of building curtain walls, and discloses an industrial implementation method of a spatial special-shaped unit curtain wall. The method comprises the following steps: a design end generates a first model by using a BIM modeling tool, a production end performs production feasibility verification based on historical models, determines a first number of historical models of which the similarity with a first type unit corresponding to an unproduced first model is greater than a first threshold value, and then analyzes whether production can be performed based on the historical models; if yes, pilot production is carried out, or else, a design end is fed back for redesign. Further, the customization degree of the first type of unit bodies is evaluated, the first number is dynamically adjusted based on the customization degree, and the customization degree is set based on scores of the first information of the unit bodies. According to the method, by fully utilizing historical production data and experience, the cooperation of design and production is enhanced, the accuracy and efficiency of production feasibility judgment are improved, and the production risk and cost are reduced.

Description

Technical Field

[0001] This application relates to the technical field of building curtain walls, and particularly to an industrialized implementation method and implementation system for a space-shaped unitized curtain wall. Background Art

[0002] With the continuous development of modern architectural design concepts, space-shaped unitized curtain walls have been widely used in various large public buildings, commercial complexes, and super high-rise buildings. Such curtain walls endow the building exterior with extremely high artistic value and personalized identification with their unique visual effects and spatial expressiveness. However, the production and manufacturing of space-shaped unitized curtain walls face many challenges. On the one hand, their complex geometric shapes and variable spatial structures have significantly increased the process difficulty during production. Compared with traditional regular curtain wall units, special-shaped units require more precise processing technologies and customized process flows in each link such as cutting, forming, assembling, connecting, and surface treatment. For example, the geometric shapes of special-shaped units are irregular, with different parameters such as side lengths, angles, and curvatures, which require extremely high precision and flexibility of cutting equipment. Traditional cutting processes may be difficult to meet their processing accuracy requirements, thereby affecting the assembly accuracy and overall quality of the units.

[0003] On the other hand, space-shaped unitized curtain walls usually have a high degree of personalized customization. Different building projects have widely varying requirements for aspects such as the shape, size, material, performance, and installation method of the units, which makes it difficult for the production side to directly apply past experience and standardized production models. When faced with new production tasks for special-shaped unitized curtain walls, factories often need to invest a large amount of time and resources in production feasibility studies and technical explorations to determine whether they can meet the design requirements and achieve efficient and economical production.

[0004] In the existing production mode, there is a certain disconnection in information communication and collaboration between the design side and the production side. Designers usually use tools such as Building Information Modeling (BIM) to complete the design modeling of the curtain wall. However, after receiving the design model, the production side lacks a systematic and efficient production feasibility verification method. Production personnel often rely on experience and subjective judgment to evaluate whether a newly designed special-shaped unit can be produced. This evaluation method is not only inaccurate but may also lead to repeated trial and error during the production process, increasing production costs and project cycles.

[0005] In addition, during the production feasibility assessment process, the utilization of historical production data is insufficient. The factory has accumulated a large amount of historical models and production experience in long-term production practice. However, due to the lack of effective data mining and analysis means, these valuable resources cannot be fully utilized to provide strong reference and guidance for the production tasks of new special-shaped unit bodies. This not only restricts the improvement of production efficiency but also makes it difficult for the factory to respond quickly and accurately when facing the production requirements of highly customized and complex special-shaped unit body curtain walls in space.

[0006] Therefore, how to improve the production efficiency and quality of the implementation of special-shaped unit body curtain walls in space, and reduce production costs, is an urgent problem to be solved in this field. Summary of the Invention

[0007] The purpose of the present invention is to provide an industrial implementation method, system, computer-readable storage medium and electronic device for special-shaped unit body curtain walls in space, so as to at least partially solve the above problems.

[0008] According to one aspect of the present application, an industrial implementation method for special-shaped unit body curtain walls in space is proposed, including: Step S1, using a BIM modeling tool to design and model the special-shaped unit body curtain wall in space to generate a first model.

[0009] Step S2, based on the historical models produced by the factory, conduct production feasibility verification on the first model. Specifically, it includes Step S21, in response to the special-shaped unit body curtain wall corresponding to the first model being a first type of unit body, determining the first number of historical models whose similarity to the first type of unit body is greater than the first threshold, and the first type of unit body is a unit body that has not been produced by the factory.

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

[0011] Optionally, the method further includes that the similarity is obtained by comparing the first information features of the first type of unit body and the historical models. Specifically, it is to calculate the first distance between the first information features of the two, and the first distance is the Euclidean distance based on mutual information. The first information at least includes geometric complexity, non-standard component ratio, material, performance parameters, mold and tooling investment, and installation and commissioning difficulty.

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

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

[0014] This application also provides an industrial implementation system for a space-shaped unit body curtain wall, including: a design module for using a BIM modeling tool to design and model the space-shaped unit body curtain wall to generate a first model.

[0015] A verification module for verifying the production feasibility of the first model based on the historical models produced by the factory; the verification module further includes a first verification sub-module and a second verification sub-module. The first verification sub-module is used to determine the first number of historical models with a similarity greater than the first threshold to the first type of unit body in response to the space-shaped unit body curtain wall corresponding to the first model being the first type of unit body, where the first type of unit body is a unit body not 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, a trial production sample is obtained by trial-producing the first model. If not, the first model is redesigned.

[0016] Optionally, the system further includes that the similarity is obtained by comparing the first information features of the first type of unit body and the historical models, 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 at least includes geometric complexity, non-standard component ratio, material, performance parameters, mold and tooling investment, and installation and commissioning difficulty.

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

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

[0019] This application also provides a computer-readable storage medium storing a computer program, including that the computer program, when run by a processor, executes the steps in the above method.

[0020] An embodiment of this application also provides an electronic device. The electronic device includes a memory and a processor. A computer program is stored in the memory, 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 industrial implementation method for a space - shaped unit curtain wall. At the design end, a BIM modeling tool is used to generate a first model, and at the production end, production feasibility verification is carried out based on historical models. First, determine a first number of historical models whose similarity to the first - type unit corresponding to the unproduced first model is greater than a first threshold, and then analyze whether production is possible based on these historical models. If possible, conduct a trial production; otherwise, feedback to the design end for re - design. Further, evaluate the customization degree of the first - type unit, and dynamically adjust the first number based on its level. The customization degree is set based on the score of the first information of the unit. This method makes full use of historical production data and experience, strengthens the collaboration between design and production, improves the accuracy and efficiency of production feasibility judgment, and reduces production risks and costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of an industrial implementation method for a space - shaped unit curtain wall provided by an embodiment of the present application.

[0023] Figure 2 It is a schematic diagram of an industrial implementation system for a space - shaped unit curtain wall provided by an embodiment of the present application.

[0024] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] The following further describes the specific embodiments of the present invention with reference to the drawings. It should be noted here that the description of these embodiments is for helping to understand the present invention, but does not constitute a limitation to the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0026] It should be noted that in the present application, "first", "second", and various numerical numbers are used for distinction for the convenience of description, and do not limit the scope of the embodiments of the present application. For example, to distinguish different classification results, etc., rather than for describing a specific order or sequence. It should be understood that the objects described in this way can be interchanged under appropriate circumstances so as to be able to describe the solutions other than the embodiments of the present application.

[0027] Specifically, Figure 1 shows a specific implementation flowchart of an industrial implementation method for a space - shaped unit curtain wall provided by an embodiment of the present application. Please refer to Figure 1 For a method provided by the present application, the specific steps are as follows: Step S1, use a BIM modeling tool to design and model a space - shaped unit curtain wall to generate a first model.

[0028] In one embodiment, designers at the design end can use professional BIM modeling tools such as CAD, Rhino, INVENTOR, or combine with self-programmed interface conversion software to batch design models by writing program codes. This embodiment does not make specific limitations. According to the architectural design drawings and relevant technical requirements, a three-dimensional model of the curtain wall is constructed in a virtual environment. Exemplarily, 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 unit bodies of triangles, quadrilaterals, pentagons, and hexagons. The shape, size, and spatial position of each unit body are different. Designers input detailed information such as geometric parameters of each unit body (such as the curvature radius of the curved surface, the length and angle of each side, etc.), material information (such as the type of glass, the material and specifications of the metal frame, etc.), performance requirements (such as wind pressure resistance performance, watertightness, airtightness, etc.), and the connection method between each component, etc., to construct a complete curtain wall BIM model, that is, the first model. This model shows the distribution, connection relationship of the curtain wall unit bodies in the building space, and the detailed structure of each unit body.

[0029] Step S2, perform production feasibility verification on the first model based on the historical models produced by the factory, specifically including: Step S21, in response to the special-shaped unit curtain wall corresponding to the first model being the first type of unit body, determine the first quantity of historical models whose similarity to the first type of unit body is greater than the first threshold, and the first type of unit body is a unit body that the factory has never produced.

[0030] Step S22, analyze and judge whether production is possible based on the first quantity of historical models. If so, conduct a trial production of the first model to obtain a trial production sample part. If not, redesign the first model.

[0031] In one embodiment, at the production end, perform production feasibility verification on the first model based on the historical models produced by the factory. The historical models refer to the models of various unit curtain walls produced by the factory in the past and are stored in the production model database of the factory. It can be understood that if the special-shaped unit curtain wall corresponding to the first model can be directly found in the production model database, that is, the factory has produced it historically, then no further verification is required. For the first type of unit body that the factory has never produced historically, determine the first quantity of historical models whose similarity to the first type of unit body is greater than the first threshold.

[0032] Among them, for the judgment of similarity, it 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 the model features, and extract the 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.), the proportion of non-standard component types and quantities, material types and characteristics (such as strength, elastic modulus, weather resistance, etc.), performance parameters (such as airtightness, watertightness, heat preservation performance index, etc.), the use of molds and tooling (such as whether special molds are required, the complexity and quantity of tooling, etc.), and the difficulty of installation and debugging (such as installation sequence, operable space, debugging accuracy requirements, etc.).

[0033] At the same time, extract the same feature parameters of the unit bodies corresponding to each historical model from the historical model database of factory production. Exemplarily, for a hexagonal space-shaped special unit body (the first type of unit body), its geometric shape parameters include the lengths of six sides and the angles of six interior angles; the proportion of non-standard components; the material is aluminum alloy, with strength grade, elastic modulus, and weather resistance meeting the corresponding industry standards; the airtightness performance requirement meets a certain standard, and the watertightness performance requirement is no leakage under a certain water pressure; 3 special molds and 5 sets of tooling are required, and the input cost of molds and tooling is relatively high; in terms of the difficulty of installation and debugging, the installation sequence is relatively complex, and it needs to be carried out on a specific assembly line, with limited operable space, and the debugging accuracy requirement reaches ±2mm.

[0034] Secondly, compare the extracted feature parameters of the first type of unit body and the historical model one by one. Since the dimensions and value ranges of different feature parameters may be different (such as geometric parameters in millimeters and performance parameters represented by specific index values, etc.), it is necessary to standardize these parameters so that they are within the same dimension range for subsequent similarity calculation. The Z-Score standardization method can be used to convert each feature parameter value into a standardized value relative to its mean and standard deviation. Exemplarily, there are multiple pentagonal unit body models in the historical database. Extract their geometric shape parameters, the proportion of non-standard components and other feature parameters, and compare them with the feature parameters of the above hexagonal unit body. For example, the side length, interior angle, and the proportion of non-standard components of a pentagonal unit body are 15%, etc. After performing Z-Score standardization on all these feature parameters, the corresponding standardized values are obtained.

[0035] In a possible embodiment, the weighted Euclidean distance method is used to calculate the similarity between the first type of unit body and each historical model. According to the influence degree of each feature parameter on production feasibility, assign corresponding weight coefficients to them. The weight coefficients can be set according to the actual situation and experience, and this embodiment does not make any restrictions. The calculation formula is as follows: The standardized feature parameter vector of the first type of unit body is , the standardized feature parameter vector of the historical model is , and the respective weight coefficients are , 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, according to the preset weight coefficients, calculate the similarity between the hexagonal unit body and the historical models of each pentagonal unit body. For example, after calculation, the similarity S between one pentagonal unit body model and the hexagonal unit body is 0.75, indicating a relatively high similarity between the two. Set the first threshold to be 0.7, for example, and screen out the first number of historical models with a similarity greater than this threshold from the historical models. Usually, in order to improve the diversity of the historical models that can be referred to, randomly select 5 - 10 historical models with a similarity greater than the first threshold. The specific values of the number of selected historical models and the first threshold can be set according to the actual situation and experience, and are not limited in this embodiment.

[0037] Preferably, to further improve the accuracy of similarity measurement, in a possible embodiment, use the Euclidean distance method based on mutual information 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 for calculating the similarity between two samples based on the mutual information between the respective features of each sample. For example, the algorithm includes the following steps: 1. Feature parameter extraction and standardization: For each sample (including the unit bodies of the first type of unit body and the historical models), extract multiple feature parameters, and use the Z-Score standardization method to standardize these parameters. Calculate the mutual information between the respective features within each sample: For each sample, calculate the mutual information between its respective features. The calculation formula for mutual information is: ; where X and Y respectively represent two features, 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, and the elements of the matrix represent the mutual information between the corresponding features in the sample.

[0039] Calculate the similarity between the mutual information matrices of two samples: Regard the mutual information matrices of the two samples as vectors and calculate the similarity between them. Exemplarily, the following method can be used to calculate the similarity: (1) Vectorization and standardization: Vectorize the two mutual information matrices respectively, and standardize the vectors so that they 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] Exemplarily, the mutual information matrix of the first model sample A is:

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

[0042] After vectorizing the mutual information matrix of sample A, it is: 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].

[0043] After vectorizing the mutual information matrix of sample B, it is: 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].

[0044]

[0045] The norm of vector A: , the norm of vector B: , similarity .

[0046] Mutual information can measure the correlation between two features, rather than just their numerical differences. By calculating the mutual information between each feature within a sample, the complex relationships between features can be captured, which can improve the robustness of similarity calculation. At the same time, by analyzing the mutual information matrix, redundant features or highly correlated feature pairs can be identified, thereby performing feature dimensionality reduction or compression. This can not only reduce the computational complexity but also improve the efficiency of similarity calculation. In addition, mutual information can effectively handle the 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 calculation.

[0047] Next is step S22, which determines whether production is possible based on the analysis of the first quantity of historical models. Specifically, the production side extracts key information from historical production data and conducts multi-dimensional verification on the production feasibility of the first model. First, it retraces the historical production experience of the model and infers the producibility of the first model through the actual production records (success / failure cases, process parameters, resource inputs, etc.) of similar historical models. The specific analysis content includes the statistics of historical production results, such as the ratio of successful production to failure cases in similar models.

[0048] For example: If 8 out of 10 similar models are successfully produced, and the failure cases are all due to insufficient mold accuracy, then 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 machining 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, while the first model requires 0.5m, it is necessary to evaluate whether the existing hot bending equipment can meet the requirements; verify the resource reusability, check whether the molds and toolings 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 frames in the first model is less than 5%, then it is determined that the mold can be reused.

[0049] In a possible embodiment, the production feasibility determination logic includes process compatibility. If the core processes of the similar model (such as special-shaped component processing, unit body hoisting) are the same as those of the first model, it is determined as "producible". For example, if the historical model adopts "three-dimensional numerical control engraving + modular assembly", and the first model requires the same process and the parameters are within the equipment capacity, then it passes the verification; resource availability, evaluate whether the current equipment, production line, and human resources in the factory can meet the production requirements. For example, if a certain special machine tool is occupied 50% of the working hours during the production of similar models, and the machine tool has been fully scheduled at present, then it is necessary to adjust the schedule or determine it as "not producible"; risk threshold control, set the risk tolerance threshold of the first model according to the common risk points in the historical model production (such as the breakage rate of special-shaped glass > 5%). For example, if the proportion of non-standard parts in the first model is 20% higher than the average value of similar models, and historical data shows that for every 10% increase in this proportion, the scrap rate will increase by 3%, then it is necessary to calculate whether the current scrap rate is within the acceptable range (such as < 8%).

[0050] In a possible embodiment, based on the above analysis, a hierarchical decision on production feasibility is formed. Exemplarily, 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 carried out. For example, the corresponding conditions can be that the number of similar models is sufficient (e.g., the first quantity ≥ 5) and the deviation of the design parameters is less than the historical extreme value (e.g., geometric error < 3%); if there are some historical failure cases, but they can be solved through process optimization (such as adjusting the welding sequence) or resource supplementation (such as adding new fixtures), then small-batch trial production is carried out. The corresponding conditions are, for example, trial-producing 3 to 5 unit bodies; if the reason for the failure of the similar model is an uncontrollable factor (such as insufficient material performance, equipment limit out-of-tolerance), and the first model cannot avoid the same type of problems, then a redesign is required. The corresponding conditions are, for example, that the historical model cracked due to stress concentration in the hot bending of glass, and the surface complexity of the first model is higher, which is determined to be infeasible. For the determined infeasible cases, the design end is directly feedback for redesign.

[0051] Preferably, for the sample parts undergoing trial production, it is detected whether the key indicators (such as flatness, joint airtightness) meet the standards. Exemplarily, the dimensional accuracy, structural strength, sealing performance, etc. of the trial-produced finished parts are detected to verify the production feasibility. If the analysis and judgment conclude that the current conditions of the factory cannot produce the first type of unit body up to the standard, feedback is given to the design end, and the designer redesigns the first model, adjusting its geometric shape, material, or structural form, etc.

[0052] Preferably, before step S22, a link for evaluating the customization degree of the first type of unit body is added, and the first quantity is dynamically adjusted based on the level of the customization degree.

[0053] Specifically, the customization degree level is set based on the score of the first information of the first type of unit body. Considering factors such as the uniqueness of the geometric shape, the customization degree of non-standard parts, the particularity of the material, and the personalized requirements of performance parameters, etc., each first information element is scored for customization, and then the total customization degree score is calculated by weighted calculation, and the customization degree level (such as low, medium, and high levels) is divided accordingly.

[0054] Exemplarily, for a heptagonal space - shaped unit body, its geometric shape is relatively rare in the market, and the geometric complexity customization score is 4 points; almost all non - standard components are specially designed, with a proportion as high as 80%, and the quantification score is 4 points; a new composite material is adopted, which has unique optical and heat - insulation properties, and the material customization score is 4 points; the performance parameters far exceed the conventional standards, such as the heat - preservation performance requirement is increased by 50%, and the quantification score is 4 points; the molds and tooling are all newly designed and manufactured, with huge investment, and the quantification score is 4 points; the installation and commissioning require special processes and equipment, with extremely high difficulty, and the quantification score is 4 points. The weight coefficients of each element can be determined according to the actual situation and experience. Exemplarily, the total customization degree score is calculated as 4×0.3 + 4×0.2 + 4×0.15 + 4×0.15 + 4×0.1 + 4×0.1 = 4 points (out of 5 points). If the customization degree is higher than the second threshold (such as 3.5 points), belonging to the high - customization - degree level, then adjust the first quantity to the second quantity, where the second quantity is greater than the first quantity. This is because in the case of high customization degree, in order to more comprehensively evaluate the production feasibility, it is necessary to refer to more similar historical models, so as to find references from a wider range of production experiences and reduce production risks.

[0055] Exemplarily, when the total customization degree score of the heptagonal unit body is 4 points, which is higher than the second threshold of 3.5 points, the originally set first quantity of 5 similar models is adjusted to the second quantity of 8. By expanding the reference range of similar models, more information on production processes, equipment adaptation, quality control, etc. can be obtained from different types of similar unit bodies, providing a more sufficient basis for the production feasibility analysis of the heptagonal unit body with high customization degree, and ensuring the accuracy and reliability of the analysis results.

[0056] Through the above - mentioned implementation manners, the industrial implementation method of the space - shaped unit body curtain wall of the present application can effectively combine the advantages of the design end and the production end, make full use of historical production data and experience, and scientifically and accurately judge the production feasibility of the space - shaped unit body curtain wall. On the premise of ensuring the curtain wall quality, it reduces production costs, shortens the production cycle, and improves production efficiency.

[0057] Corresponding to the industrial implementation method of a space - shaped unit body curtain wall in the above - mentioned embodiment, Figure 2 The structural block diagram of an industrial implementation system of a space - shaped unit body curtain wall provided by an embodiment of the present application is shown. For the sake of convenience of description, only the parts related to the embodiment of the present application are shown.

[0058] See Figure 2As shown in the figure, an industrialized implementation system 200 of a space-shaped unitized curtain wall provided by an embodiment of the present application includes: a design module, which is used to use a BIM modeling tool at the design end to design and model the space-shaped unitized curtain wall to generate a first model.

[0059] A verification module, which is used to verify the production feasibility of the first model based on the historical models produced by the factory at the production end; the verification module further includes a first verification sub-module and a second verification sub-module. The first verification sub-module is used to determine a first number of historical models with a similarity greater than a first threshold to the space-shaped unitized curtain wall corresponding to the first model when the space-shaped unitized curtain wall corresponding to the first model is a first type of unit, and the first type of unit is a unit that has not been produced by the factory. The second verification sub-module is used to analyze and judge whether production is possible based on the first number of historical models. If so, a trial production sample is obtained by trial-producing the first model. If not, it feeds back to the design end for re-design.

[0060] Optionally, the system further includes that the similarity is obtained by comparing the first information of the first type of unit with the historical models, and the first information at least includes geometric complexity, non-standard component ratio, material, performance parameters, mold and tooling investment, and installation and commissioning difficulty.

[0061] Optionally, the system further includes an adjustment module, which is used to evaluate the customization degree of the first type of unit and dynamically adjust the first number based on the level of the customization degree, including: if the customization degree is higher than a second threshold, adjusting the first number to a second number, where the second number is greater than the first number.

[0062] Optionally, the system further includes that evaluating the customization degree of the first type of unit includes: setting a customization degree level based on the score of the first information of the first type of unit.

[0063] Correspondingly, an embodiment of the present application further provides an electronic device, and this electronic device can be a terminal or a server. As Figure 3 shown, Figure 3 is a schematic structural diagram of the electronic device provided by an embodiment of the present application. For the convenience of description, only the parts related to the embodiment of the present application are shown.

[0064] 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 on the memory 302 and executable on the processor. Among them, the processor 301 is electrically connected to the memory 302. Those skilled in the art can understand that the structure of the electronic device shown in the figure does not constitute a limitation on the electronic device, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0065] The processor 301 is the control center of the electronic device 300, connecting various parts of the entire electronic device 300 through various interfaces and lines. By running or loading software programs (computer programs) and / or units stored in the memory 302, and by calling the 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.

[0066] In the 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 application programs into the memory 302 according to the following steps, and the processor 301 will run the application programs stored in the memory 302 to achieve various functions: Step S1, the design end uses a BIM modeling tool to design and model a space-shaped unit curtain wall, generating a first model.

[0067] Step S2, the production end performs production feasibility verification on the first model based on the historical models produced by the factory, specifically including: Step S21, in response to the space-shaped unit curtain wall corresponding to the first model being a first type of unit, determining a first number of historical models with a similarity greater than a first threshold to the first type of unit, where the first type of unit is a unit that has not been produced by the factory; Step S22, based on the analysis of the first number of historical models, determine whether production is possible. If so, perform a trial production on the first model to obtain a trial production sample part. If not, feedback to the design end for re-design.

[0068] For the specific implementation of each of the above operations, reference can be made to the foregoing embodiments, and details will not be repeated here.

[0069] Optionally, as Figure 3 shown, the electronic device 300 further includes: an implementation unit 303, a communication unit 304, an input unit 305, and a power supply 306. Among them, 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. Those skilled in the art can understand, Figure 3The electronic device structure shown does not constitute a limitation on the electronic device, and it may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0070] The stacking unit 303 can be used for the industrial implementation of the space-shaped unit curtain wall.

[0071] The communication unit 304 can be used for communicating with other devices.

[0072] The input unit 305 can be used to receive input digital, character information or user characteristic information (such as fingerprint, iris, face information, etc.), and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0073] The power supply 306 is used to supply power to each component of the electronic device 300. Optionally, the power supply 306 can be logically connected to the processor 301 through a power management system, so as to realize functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 306 can also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0074] In the above embodiments, the descriptions of each embodiment have their own focuses. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0076] Therefore, an embodiment of the present application provides a computer-readable storage medium, in which multiple computer programs are stored. The computer programs can be loaded by a processor to execute the steps of an industrial implementation method of a space-shaped unit curtain wall provided by an embodiment of the present application.

[0077] For the specific implementation of the above operations, reference can be made to the previous embodiments and will not be elaborated here.

[0078] Among them, the computer-readable storage medium can include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

[0079] Since the computer program stored in the storage medium can execute the steps in any of the industrial implementation methods of the space-shaped unit curtain wall provided by the embodiments of the present application, the beneficial effects of any of the industrial implementation methods of the space-shaped unit curtain wall provided by the embodiments of the present application can be achieved. For details, see the previous embodiments and will not be elaborated here.

[0080] This application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 or multiple blocks.

[0081] These computer program instructions can 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 generate a manufactured product including an instruction device, and the instruction device realizes the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 or multiple blocks.

[0082] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 or multiple blocks.

[0083] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, without departing from the principles and spirit of the present invention, various changes, modifications, substitutions, and variations to these embodiments still fall within the protection scope of the present invention.

Claims

1. An industrialized implementation method for a curtain wall with a space-shaped special unit body, characterized in that, Including: Step S1: Use a BIM modeling tool to design and model a space - shaped unit curtain wall to generate a first model; Step S2: Verify the production feasibility of the first model based on the historical models produced by the factory. Specifically, in step S21, in response to the space - shaped unit curtain wall corresponding to the first model being a first - type unit, determine a first quantity of historical models whose similarity to the first - type unit is greater than a first threshold. The first - type unit is a unit that the factory has not produced before; Step S22: Analyze and determine whether production is possible based on the first quantity of historical models. If so, conduct a trial production of the first model to obtain a trial - production sample piece. If not, redesign the first model.

2. The industrial implementation method of a spatial special-shaped unit curtain wall according to claim 1, characterized in that, Including: The similarity is obtained by comparing the first information features of the first - type unit and the historical models. Specifically, calculate the first distance between the first information features of the two, and the first distance is the Euclidean distance based on mutual information. The first information features at least include geometric complexity, non - standard part ratio, material, performance parameters, mold and tooling investment, and installation and commissioning difficulty.

3. The industrial implementation method of a spatial special-shaped unit curtain wall according to claim 2, characterized in that, Including: Evaluate the customization level of the first - type unit, and dynamically adjust the first quantity based on the high or low customization level, including: if the customization level is higher than a second threshold, adjust the first quantity to a second quantity, where the second quantity is greater than the first quantity.

4. The industrial implementation method of a spatial special-shaped unit curtain wall according to claim 3, characterized in that Including: The evaluation of the customization level of the first - type unit includes: setting the customization level grade based on the score of the first information features of the first - type unit.

5. An industrialized implementation system for a curtain wall with a space-shaped unit body, characterized in that, Including: A design module for using a BIM modeling tool to design and model a space - shaped unit curtain wall to generate a first model; A verification module for verifying the production feasibility of the first model based on the historical models produced by the factory. The verification module further includes a first verification sub - module and a second verification sub - module. The first verification sub - module is used to determine a first quantity of historical models whose similarity to the first - type unit is greater than a first threshold in response to the space - shaped unit curtain wall corresponding to the first model being a first - type unit. The first - type unit is a unit that the factory has not produced before. The second verification sub - module is used to analyze and determine whether production is possible based on the first quantity of historical models. If so, conduct a trial production of the first model to obtain a trial - production sample piece. If not, redesign the first model.

6. An industrial implementation system for a spatial special-shaped unit curtain wall according to claim 5, characterized in that, Including: The similarity is obtained by comparing the first information features of the first - type unit and the historical models. Specifically, calculate the first distance between the first information features of the two, and the first distance is the Euclidean distance based on mutual information. The first information at least includes geometric complexity, non - standard part ratio, material, performance parameters, mold and tooling investment, and installation and commissioning difficulty.

7. An industrial implementation system for a spatial special-shaped unit curtain wall according to claim 6, characterized in that Including: An adjustment module for evaluating the customization level of the first - type unit and dynamically adjusting the first quantity based on the high or low customization level, including: if the customization level is higher than a second threshold, adjust the first quantity to a second quantity, where the second quantity is greater than the first quantity.

8. An industrial implementation system for a spatial special-shaped unit curtain wall according to claim 7, characterized in that, Including: Evaluating the customization degree of the first type of unit body includes: setting the customization degree level based on the score of the first information of the first type of unit body.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is run by a processor, it executes the method according to any one of claims 1-4.

10. An electronic device, characterized in that: It includes 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 and executes the method according to any one of claims 1-4.

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