BIM (Building Information Modeling)-based ALC wall plate prefabricated component modulus analysis optimization method and system

Abstract

The invention discloses a BIM-based ALC wall plate prefabricated component modulus analysis optimization method and system, and relates to the technical field of constructional engineering, and the method comprises the steps: constructing an ALC wall plate basic database under a BIM platform; an ISO modulus algorithm is introduced to cooperate with an ALC wallboard database for data learning; reading existing wallboard model data by utilizing a BIM technology, and designing a wall body in combination with a modulus algorithm; and aiming at the wall body which does not meet the requirement, introducing a hybrid optimization method, and carrying out design optimization of the ALC wallboard. According to the method, seamless joint from design to production is achieved. Through a BIM platform, three-dimensional modeling is carried out on the ALC wallboard prefabricated part, the size and the shape of the ALC wallboard prefabricated part are accurately simulated, and high consistency of design data is ensured. An advanced parameterization design method is introduced, so that modulus design can automatically adapt to design changes, and error accumulation caused by human factors in traditional design is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering construction, and in particular to a BIM-based ALC wall panel prefabricated component modulus analysis optimization method and system. Background Art

[0002] Under the background of the rapid development of the current construction industry, the market demand for ALC wall panel prefabricated components, as a representative of green building materials, has shown a booming growth trend. However, it still faces some challenges in practical application. For example, the limitations of traditional modular design methods lead to inaccurate component sizes, which are difficult to meet complex and changing building needs; the limitations of the modular design of ALC wall panel prefabricated components are mainly reflected in its difficulty in adapting to complex and changing building design needs. Traditional modular design methods are often based on fixed sizes and proportions, resulting in limited matching and adaptability of components in practical applications.

[0003] In addition, the traditional modular analysis method also has obvious deficiencies in accuracy and efficiency. Traditional two-dimensional drawing design is difficult to fully reflect the three-dimensional form and spatial relationship of components, which leads to errors and omissions in the modular analysis process. According to industry statistics, about 30% of ALC wall panel prefabricated components need secondary processing or adjustment at the construction site, which not only increases the difficulty and cost of construction, but also prolongs the construction period. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing technology can discover and solve the potential model-to-number mismatch problem in the early stage of model construction.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a BIM-based ALC wall panel prefabricated component modulus analysis and optimization method, comprising: Build the ALC wall panel basic database under the BIM platform; Introduce ISO modulus algorithm and ALC wall panel database for data learning; Use BIM technology to read the existing wall panel model data and design the wall in combination with the modular algorithm; For walls that do not meet the requirements, a hybrid optimization method is introduced to optimize the design of ALC wall panels.

[0007] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method of the present invention, wherein: the construction of the ALC wall panel basic database under the BIM platform includes establishing a basic database for the ALC wall panel prefabricated components by integrating three-dimensional modeling, parametric design and data sharing functions; directly constructing a three-dimensional model of the wall panel through the BIM platform, and accurately setting the size parameters of the wall panel according to project requirements; Use parametric modeling tools in the BIM platform to define the parameters of the wall panels and adjust the parameter values ​​at any time in the model; when creating parametric families and components in BIM, set the size parameters as formula-related values; By setting the automatic calculation rules in the BIM platform, the ALC wall panel dimensions that meet the design standards are automatically generated according to project requirements.

[0008] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in the present invention, wherein: the introduction of the ISO modulus algorithm includes setting a basic modulus M0 for outputting subsequent design drawings; Read the design requirements and obtain the total length, width and height requirements of the wall panels from the design drawings; determine the modular design standard, determine the basic module M0 according to the project requirements, and select the size multiple that meets the requirements through the ISO module standard; set the wall length direction Arrangement, assuming the total length of the wall is , determine the length of each wall panel Is it An integer multiple of ; The initial length of the wall panel is set as follows: ; in, Indicates the number of wall panels, Indicates the index number of the wall panel; Through the optimization algorithm, the sum of the number and length of the wall panels is closest to the total length of the wall. , while ensuring that the length of each wall panel is The objective function formula is expressed as: ; in, It represents the total length of the wall panel after arrangement. The goal is to minimize the difference between the total length and the wall length. Modular optimization calculation is performed to calculate the size of each wall panel and determine the wall panel arrangement plan that can maximize the use of the module.

[0009] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method of the present invention, wherein: the data learning in cooperation with the ALC wall panel database includes further adopting the expansion modulus and the sub-modulus according to the application analysis of the current ALC wall panels in the field; When the actual design size of the wall fails to fully match the expanded modulus, the difference is made up by the sub-modulus to reduce gaps or non-compliance problems during construction; the formula is: ; in, Indicates the difference between the design length and the modular combination length, Indicates the total length of the designed wall. Indicates the basic modulus; when When , the difference is made by using the divided modulus; for length difference: ; in, Indicates the final compensation size in the length direction; n is a suitable fraction, for width or thickness compensation: ; in, Indicates the final compensation size in width or thickness direction; The sub-modulus is the fractional value of the basic modulus, which is mainly used for the compensation content after the overall size design of the wall. It is analyzed by comparing with the current on-site application big data to determine 3 types of expansion moduli and 2 types of sub-moduli; Genetic algorithm and simulated annealing algorithm are introduced for hybrid optimization to ensure that the actual needs of the site are met to the greatest extent; In the design, a genetic algorithm is used to arrange and combine wall panels to generate multiple possible wall panel configurations; a fitness function is used to evaluate the pros and cons of each combination and make adjustments based on the objective function; based on the preliminary solution output by the genetic algorithm, a simulated annealing algorithm is used to further adjust the size and arrangement to find the optimal solution; and the temperature of the system is gradually reduced to find the optimal design solution.

[0010] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in the present invention, the method comprises: reading the existing wall panel model data using BIM technology includes reading the partition wall data in the existing model through BIM, and designing in combination with the current ALC modulus base and algorithm. When the wall thickness H is determined, the wall length is L and the width is B. The basic principle of the wall length L is to first take MOL1 for design. When the number reaches the maximum value, take MOL2 for design. When the number reaches the maximum value again, take MOL3 for design until the maximum value is reached. If there is a design gap, the sub-module MOL1 is used for supplementary design. Repeat the iteration to complete the length direction design. The width direction follows the length principle to complete the wall in-depth design.

[0011] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in the present invention, the wall design combined with the modulus algorithm includes optimizing the preliminary design, identifying the walls that cannot complete the overall design and need to customize the size of the ALC wall panels, introducing a hybrid algorithm of the genetic algorithm and the simulated annealing algorithm to optimize them, ensuring that the number of ALC wall panels is sufficient during the wall design process and not a restriction condition, and randomly generating a single wall .

[0012] X means there are X permutations of ALC wall panels. , i(X) represents the Xth wall panel, and * is added to the first wall panel to represent the wall margin, forming ,like ,and ,in, express The length of the wall panel at represents the total length of the wall, j represents the sequence number of the wall panels in the arrangement, and S represents the total length of the wall formed by the current arrangement; then Insert * between to form an initial solution ; In the optimization design mode, the process of progressively arranging the size of the ALC wall panel parameters is no longer followed. It is judged whether the initial solution is a feasible solution, so that the design can meet the on-site construction requirements to the greatest extent and improve the on-site construction efficiency.

[0013] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in the present invention, the introduction of the hybrid optimization method includes that in the actual design process, the ALC wall panel detailed design cannot completely fit the design wall size, and the part that cannot be deepened by the modulus is used as the objective function value, and the objective function formula is expressed as: ; in, Indicates the genetic algorithm Iterations; When a new arrangement is generated in each generation, the current objective function value is compared with the previous generation value. If the objective function value of the new path is better, the new arrangement is used as the objective function value.

[0014] As a preferred solution of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization system described in the present invention, wherein: an ALC wall panel basic database construction module constructs a three-dimensional model of the ALC wall panel in the BIM platform, stores and manages all parameters of the wall panel in the database, and automatically calculates and generates the ALC wall panel size that meets the design standards; Modulus analysis and optimization module, which sets the basic modulus and optimizes it according to the modulus algorithm to output the optimal wall panel layout plan; A hybrid optimization algorithm module that uses a genetic algorithm to generate multiple possible configurations of wall panels and further optimizes the design through a simulated annealing algorithm to find the optimal solution; The BIM design implementation module reads the existing wall panel model data from the BIM platform; it combines the modular optimization algorithm for design and ensures that the final design meets on-site requirements through modular compensation design.

[0015] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a BIM-based ALC wall panel prefabricated component modular analysis and optimization method.

[0016] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a BIM-based ALC wall panel prefabricated component modulus analysis optimization method.

[0017] Beneficial effects of the present invention: The BIM-based ALC wall panel prefabricated component modulus analysis optimization method provided by the present invention discloses a method for the lack of a mature and complete ALC wall panel prefabricated component modulus analysis in the current engineering construction field, making full use of the powerful functions of BIM (Building Information Modeling) technology to achieve seamless connection from design to production. Through the BIM platform, we can perform three-dimensional modeling of ALC wall panel prefabricated components, accurately simulate their size and shape, and ensure a high degree of consistency in design data. In this process, advanced parametric design methods are introduced, so that the modular design can automatically adapt to design changes, avoiding the accumulation of errors caused by human factors in traditional design. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 An overall flow chart of a BIM-based ALC wall panel prefabricated component modulus analysis and optimization method provided for the first embodiment of the present invention.

[0020] Figure 2 An overall flow chart of a BIM-based ALC wall panel prefabricated component modulus analysis and optimization system provided for the third embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0022] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a BIM-based ALC wall panel prefabricated component modulus analysis and optimization method, comprising: S1: Build the ALC wall panel basic database under the BIM platform.

[0023] Furthermore, the construction of the ALC wall panel basic database under the BIM platform includes establishing a basic database for ALC wall panel prefabricated components by integrating three-dimensional modeling, parametric design and data sharing functions; directly building a three-dimensional model of the wall panel through the BIM platform, and accurately setting the size parameters of the wall panel according to project requirements.

[0024] Use parametric modeling tools in the BIM platform to define the parameters of the wall panels and adjust the parameter values ​​at any time in the model; when creating parametric families and components in BIM, set the size parameters as formula-related values; It should be noted that by setting the automatic calculation rules in the BIM platform, the ALC wall panel dimensions that meet the design standards are automatically generated according to project requirements.

[0025] S2: Introduce ISO modulus algorithm and ALC wall panel database for data learning.

[0026] Furthermore, the introduction of the ISO modulus algorithm includes setting a basic modulus M0 for outputting subsequent design drawings. Read the design requirements and obtain the total length, width and height requirements of the wall panels from the design drawings; determine the modular design standard, determine the basic module M0 according to the project requirements, and select the size multiple that meets the requirements through the ISO module standard; set the wall length direction Arrangement, assuming the total length of the wall is , determine the length of each wall panel Is it An integer multiple of .

[0027] The initial length of the wall panel is set as follows: ; in, Indicates the number of wall panels, Indicates The index number of the wall panel.

[0028] Through the optimization algorithm, the sum of the number and length of the wall panels is closest to the total length of the wall. , while ensuring that the length of each wall panel is The objective function formula is expressed as: ; in, It represents the total length of the wall panel after arrangement. The goal is to minimize the difference between the total length and the wall length. Modular optimization calculation is performed to calculate the size of each wall panel and determine the wall panel arrangement plan that can maximize the use of the module.

[0029] Furthermore, the data learning in cooperation with the ALC wall panel database includes further adopting expanded modules and divided modules based on the current application analysis of the ALC wall panels in the field.

[0030] When the actual design size of the wall fails to fully match the expanded modulus, the difference is made up by the sub-modulus to reduce gaps or non-compliance problems during construction; the formula is: ; in, Indicates the difference between the design length and the modular combination length, Indicates the total length of the designed wall. Indicates the basic modulus; when When , the difference is made by using the divided modulus; for length difference: ; in, Indicates the final compensation size in the length direction; n is a suitable fraction, for width or thickness compensation: ; in, Indicates the final compensation size in width or thickness direction; The partial modulus is the fractional value of the basic modulus, which is mainly used for the compensation content after the overall size design of the wall. It is analyzed against the current on-site application big data to determine 3 types of expanded moduli and 2 types of partial moduli.

[0031] Genetic algorithm and simulated annealing algorithm are introduced for hybrid optimization to ensure that the actual needs of the site are met to the greatest extent.

[0032] It should be noted that in the design, a genetic algorithm is used to arrange and combine the wall panels to generate multiple possible wall panel configurations; a fitness function is used to evaluate the pros and cons of each combination and to make adjustments based on the objective function; based on the preliminary solution output by the genetic algorithm, a simulated annealing algorithm is used to further adjust the size and arrangement to find the optimal solution; and the temperature of the system is gradually reduced to find the optimal design solution.

[0033] S3: Use BIM technology to read the existing wall panel model data and design the wall in combination with the modular algorithm.

[0034] Furthermore, the use of BIM technology to read the existing wall panel model data includes: reading the partition wall data in the existing model through BIM, combining the current ALC modulus base and algorithm for design, and when the wall thickness H is determined, the wall length is L, the width is B, and the basic principle of the wall length L is to first take MOL1 for design, and when the number reaches the maximum value, take MOL2 for design, and when the number reaches the maximum value again, take MOL3 for design, until the maximum value, if there is a design gap, use the sub-module MOL1 for supplementary design, repeat iterations, and complete the length direction design; the width direction follows the length principle to complete the in-depth design of the wall.

[0035] Furthermore, the wall design combined with the modular algorithm includes optimizing the preliminary design, identifying walls that cannot be designed as a whole and need to customize the size of ALC wall panels, introducing a hybrid algorithm of genetic algorithm and simulated annealing algorithm to optimize them, ensuring that the number of ALC wall panels is sufficient during the wall design process and not a restriction condition, and randomly generating ALC wall panels for a single wall. .

[0036] X means there are X permutations of ALC wall panels. , i(X) represents the Xth wall panel, and * is added to the first wall panel to represent the wall margin, forming ,like ,and ,in, express The length of the wall panel at represents the total length of the wall, j represents the sequence number of the wall panels in the arrangement, and S represents the total length of the wall formed by the current arrangement. Insert * between to form an initial solution In this mode, the size of the ALC wall panel parameters is no longer arranged progressively in the above process to determine whether it is a feasible solution, so that the design can meet the on-site construction requirements to the greatest extent and improve the on-site construction efficiency.

[0037] It should be noted that the dimensions of the wall panels on site should be compared with the basic modulus, expanded modulus and sub-modulus to find out the dimensions that need to be adjusted and determine which design gaps can be filled by expanding the modulus or sub-modulus. The length, width and thickness of each wall panel should be matched with the existing modulus. It should be determined whether the dimensions of each wall panel meet the requirements of the basic modulus, expanded modulus and sub-modulus, and the required compensation value should be calculated. Three types of expanded modulus and two types of sub-modulus are determined, among which 2MO, 3MO and 6MO are often selected for the expanded modulus, and MO / 10 and MO / 5 are often selected for the sub-modulus.

[0038] S4: For walls that do not meet the requirements, a hybrid optimization method is introduced to optimize the design of ALC wall panels.

[0039] Furthermore, the hybrid optimization method is introduced. In the actual design process, the ALC wall panel detailed design cannot completely fit the designed wall size, and the part that cannot be deepened by the module is used as the objective function value. The objective function formula is expressed as: ; in, Indicates the genetic algorithm Iterations; When a new arrangement is generated in each generation, the current objective function value is compared with the previous generation value. If the objective function value of the new path is better, the new arrangement is used as the objective function value.

[0040] After the initial optimization is completed, the design results are verified through the BIM platform to ensure that the wall panels meet the design requirements in terms of size, weight, strength, construction gap, etc. If the design meets the conditions, the final results are exported as construction drawings; if there are any non-compliant parts, return to the previous step to readjust the modulus or perform further optimization.

[0041] It should be noted that collision detection and structural analysis tools were introduced to verify the feasibility of the design and ensure that the size and arrangement of each wall panel can be successfully applied in actual construction. Through the feedback loop with the construction team, the design was further optimized to ensure that the final design solution can reduce the difficulty and cost of construction.

[0042] Example 2 is an embodiment of the present invention, which provides a BIM-based ALC wall panel prefabricated component modulus analysis and optimization method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0043] First, in this embodiment, an ALC wall panel modulus analysis and optimization method based on the BIM platform is used to optimize the wall design.

[0044] The purpose of the test is to verify the effectiveness of this method in practical applications, including optimizing the size of prefabricated components of ALC wall panels, ensuring that they match the requirements of the construction project, and improving construction efficiency. The test steps are as follows: The 3D model of ALC wall panels is constructed through the BIM platform, and wall panel data of different sizes are created in combination with actual construction requirements. The size setting of the model is based on the common wall panel specifications in the construction project, such as the length, width, and height values. Through the parametric design function in BIM, the size parameters and related functional attributes of each wall panel are set. These wall panel size parameters will be stored as basic data in the ALC wall panel database.

[0045] Next, the basic modulus (MO) is set to 100mm through the ISO modulus algorithm, and the dimensions of the wall are determined using this standard. As shown in Table 1-4, for example, the dimensions of the length and width of the wall are set to dimensions based on multiples of 2MO, 3MO, etc. The specific dimension requirements of the wall in the design drawings are read through BIM technology, and then the length, width, and thickness of the wall panels are adjusted through the algorithm to ensure that these dimensions are integer multiples of the basic modulus. In order to ensure the optimization of the design, an optimization algorithm is used to make the sum of the number and length of the wall panels closest to the total length of the wall, while ensuring that the length of each wall panel is an appropriate multiple.

[0046] Table 1 ALC internal partition board parameters

[0047] Table 2 ALC inner partition thickness modulus

[0048] Table 3 ALC inner partition length modulus table

[0049] Table 4 ALC inner partition width modulus

[0050] After the preliminary design is completed, the wall is further optimized through the BIM platform. According to the requirements of the ISO module standard, check whether the length, width and thickness of the wall panels can be fully adapted. If there is a size that cannot meet the requirements (such as a gap in the design), the sub-module is introduced to make up for the difference and ensure that the size of the wall fully matches the design requirements.

[0051] When some designs cannot fully fit the modulus standard, genetic algorithms and simulated annealing algorithms are introduced for optimization. This hybrid optimization algorithm generates multiple wall panel size combinations through multiple iterations and evaluates the pros and cons of these combinations. In each optimization iteration, the objective function minimizes the size difference between the wall design and the actual requirements. The optimized wall panel design is generated and output to the BIM platform for on-site construction verification. Through on-site construction feedback, the design plan is continuously adjusted to eventually form an ALC wall panel size that meets construction requirements and maximizes the use of ISO modulus standards.

[0052] Compared with the traditional design schemes (Design 1, Design 2, Design 3, Design 4), the optimization design scheme and genetic algorithm optimization design have the following obvious advantages: The closeness of the total length of the wall to the actual demand: The total length of the wall (2590mm and 2580mm) optimized by the optimization design and genetic algorithm is closer to the ideal demand (predetermined wall length) than the length of other design solutions (2400mm, 2600mm, 2500mm, 2550mm). This can effectively reduce the adjustment cost caused by size differences during on-site construction.

[0053] Compared with Design Scheme 1 and Design Scheme 2, the optimized length and width of the wall panels can better meet the actual construction needs. For example, the length of the wall panels in Design Scheme 1 is 2400mm, which may cause gaps or insufficiencies in actual construction, while the optimized design scheme can better adapt to the size requirements. By introducing the ISO modulus algorithm (basic modulus and expanded modulus), the size of the optimized design scheme fully meets the modular design requirements, which improves the efficiency of modulus utilization in the design process. In the optimized design. The split modulus compensation strategy is adopted, which can effectively avoid the gap problem between walls and improve the construction accuracy.

[0054] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides a BIM-based ALC wall panel prefabricated component modulus analysis and optimization system, including: The ALC wall panel basic database construction module 100 constructs a three-dimensional model of the ALC wall panel in the BIM platform, stores and manages all parameters of the wall panel in the database, and automatically calculates and generates the ALC wall panel size that meets the design standards.

[0055] The module 200 for modulus analysis and optimization sets the basic modulus, optimizes according to the modulus algorithm, and outputs the optimal wall panel arrangement plan.

[0056] The hybrid optimization algorithm module 300 uses a genetic algorithm to generate multiple possible configurations of the wall panels, and further optimizes the design through a simulated annealing algorithm to find the optimal solution.

[0057] The BIM design implementation module 400 reads the existing wall panel model data from the BIM platform, combines the modular optimization algorithm for design, and ensures that the final design meets the on-site requirements through modular compensation design.

[0058] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0059] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0060] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk case (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0061] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logical function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0062] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A BIM-based ALC wall prefabricated component modulus analysis and optimization method, characterized in that: include: Build the ALC wall panel basic database under the BIM platform; Introduce ISO modulus algorithm and ALC wall panel database for data learning; Use BIM technology to read the existing wall panel model data and design the wall in combination with the modular algorithm; For walls that do not meet the requirements, a hybrid optimization method is introduced to optimize the design of ALC wall panels.

2. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 1, characterized in that: The construction of the ALC wall panel basic database under the BIM platform includes establishing a basic database for ALC wall panel prefabricated components by integrating three-dimensional modeling, parametric design and data sharing functions; directly building a three-dimensional model of the wall panel through the BIM platform, and accurately setting the size parameters of the wall panel according to project requirements; Use parametric modeling tools in the BIM platform to define the parameters of the wall panels and adjust the parameter values ​​at any time in the model; when creating parametric families and components in BIM, set the size parameters as formula-related values; By setting the automatic calculation rules in the BIM platform, the ALC wall panel dimensions that meet the design standards are automatically generated according to project requirements.

3. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 2, characterized in that: The introduction of the ISO modulus algorithm includes setting a basic modulus M0 for outputting design drawings; Read the design requirements and obtain the total length, width and height requirements of the wall panels from the design drawings; Determine the modular design standard, determine the basic module M0 according to project requirements, select the size multiple that meets the requirements through the ISO module standard; set the wall length direction Arrangement, assuming the total length of the wall is , determine the length of each wall panel for An integer multiple of ; The initial length of the wall panel is set as follows: ； in, Indicates the number of wall panels, Indicates the index number of the wall panel; Through the optimization algorithm, the sum of the number and length of the wall panels is closest to the total length of the wall. , while ensuring that the length of each wall panel is The objective function formula is expressed as: ； in, It represents the total length of the wall panel after arrangement. The goal is to minimize the difference between the total length and the wall length. Modular optimization calculation is performed to calculate the size of each wall panel and determine the wall panel arrangement plan that can maximize the use of the module.

4. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 1 or 2, characterized in that: The data learning in cooperation with the ALC wall panel database includes further adopting the expansion module and the sub-module according to the application analysis of the current ALC wall panels in the field; When the actual design size of the wall fails to fully match the expanded modulus, the difference is made up by the sub-modulus to reduce gaps or non-compliance problems during construction; the formula is: ； in, Indicates the difference between the design length and the modular combination length, Indicates the total length of the designed wall. Indicates the basic modulus; when When , the difference is made by using the divided modulus; for length difference: ； in, Indicates the final compensation size in the length direction; n is a suitable fraction, for width or thickness compensation: ； in, Indicates the final compensation size in width or thickness direction; The sub-modulus is the fractional value of the basic modulus, which is mainly used for the compensation content after the overall size design of the wall. It is analyzed by comparing with the current on-site application big data to determine 3 types of expansion moduli and 2 types of sub-moduli; Genetic algorithm and simulated annealing algorithm are introduced for hybrid optimization to ensure that the actual needs of the site are met to the greatest extent; In the design, a genetic algorithm is used to arrange and combine wall panels to generate multiple possible wall panel configurations; a fitness function is used to evaluate the pros and cons of each combination and make adjustments based on the objective function; based on the preliminary solution output by the genetic algorithm, a simulated annealing algorithm is used to further adjust the size and arrangement to find the optimal solution; and the temperature of the system is gradually reduced to find the optimal design solution.

5. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 4, characterized in that: The use of BIM technology to read the existing wall panel model data includes reading the partition wall data in the existing model through BIM, and designing in combination with the current ALC modulus base and algorithm; When the wall thickness H is determined, assume that the wall length is L and the width is B. The basic principle of the wall length L is to first take MOL1 for design. When the number of MOL1 reaches the maximum value, take MOL2 for design. When the number of MOL2 reaches the maximum value again, take MOL3 for design until the maximum value is reached. If there is a design gap, use the partial module MOL1 for supplementary design, repeat the iteration to complete the design in the length direction. In the width direction, follow the basic principle of length to complete the in-depth design of the wall.

6. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 1, 2 or 3, characterized in that: The wall design in combination with the modulus algorithm includes optimizing the preliminary design, identifying the wall that cannot be designed as a whole and needs to customize the size of the ALC wall panels, and optimizing it by introducing a hybrid algorithm of the genetic algorithm and the simulated annealing algorithm; During the wall design process, the number of ALC wall panels is guaranteed to be sufficient and is not a restriction. ALC wall panels are randomly generated for a single wall. ; X means there are X permutations of ALC wall panels. , i(X) represents the Xth wall panel; adding * to the first wall panel represents the wall margin, forming ; like ,and ,in, express The length of the wall panel at represents the total length of the wall, j represents the sequence number of the wall panels in the arrangement, and S represents the total length of the wall formed by the current arrangement; then Insert between , forming an initial solution, expressed as ; In the optimization design mode, the process of progressively arranging the size of the ALC wall panel parameters is no longer followed. It is judged whether the initial solution is a feasible solution, so that the design can meet the on-site construction requirements to the greatest extent and improve the on-site construction efficiency.

7. The BIM-based ALC wall prefabricated component modulus analysis and optimization method according to claim 1, 2 or 5, characterized in that: The hybrid optimization method introduced includes that in the actual design process, the ALC wall panel detailed design cannot completely fit the designed wall size, and the part that cannot be deepened by the module is used as the objective function value. The objective function formula is expressed as: ； in, Indicates the genetic algorithm Iterations; When a new arrangement is generated in each generation, the current objective function value is compared with the previous generation value. If the objective function value of the new path is better, the new arrangement is used as the objective function value.

8. A system using the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method as claimed in any one of claims 1 to 7, characterized in that: ALC wall panel basic database module (100), constructing a three-dimensional model of the ALC wall panel in the BIM platform, storing and managing all parameters of the wall panel in the database, and automatically calculating and generating the ALC wall panel size that meets the design standards; Modulus analysis and optimization module (200), sets the basic modulus, optimizes according to the modulus algorithm, and outputs the optimal wall panel arrangement plan; A hybrid optimization algorithm module (300) uses a genetic algorithm to generate multiple possible configurations of the wall panels, and further optimizes the design through a simulated annealing algorithm to find the optimal solution; The BIM design implementation module (400) reads the existing wall panel model data from the BIM platform; The design is combined with the modular optimization algorithm, and the modular compensation design is used to ensure that the final design meets the on-site needs.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the BIM-based ALC wall panel prefabricated component modulus analysis and optimization method described in any one of claims 1 to 7 are implemented.

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