Modular space customization design method and system for a residence

Abstract

This invention discloses a modular space customization design method and system for residential buildings. The method includes: collecting full-volume residential demand information from the residential market; based on the collected family life cycle distribution, assigning residential demand weights to different customer groups; and constructing a residential demand priority spectrum by combining personalized functional requirements for specific residential scenarios. Based on the residential demand priority spectrum, a core basic unit type support system is built. By assigning residential demand weights to different customer groups based on the collected family life cycle distribution and combining personalized functional requirements for specific residential scenarios, the residential demand priority spectrum is constructed, ensuring that the basic unit type and modular system meet the core needs of the public, enabling cost reduction through large-scale factory prefabrication; and simultaneously reserving space for adjustments to personalized needs, thus improving design efficiency.

Description

Technical Field

[0001] This invention relates to the field of residential design technology, and more specifically to a modular space customization design method and system for residential buildings. Background Technology

[0002] Modular residential space customization is a new generation of residential space solutions that integrates standardized industrial manufacturing with personalized living needs under the background of the development of new building industrialization. With the core concept of adapting space to people, the house is deconstructed into space modules with independent functions, standardized interfaces, and can be freely spliced ​​and iterated. Most of the processes are prefabricated in the factory and quickly assembled on site.

[0003] The existing technologies mainly suffer from the following technical bottlenecks: 1. In residential customization design, either standardized house types are completely copied, which does not match the actual needs of the market customer base, resulting in unsold products and failure to meet core user needs; or the design caters too much to niche personalized needs, making it impossible to achieve large-scale prefabrication, resulting in high customization costs and low design efficiency.

[0004] 2. Most modular apartment layouts only physically connect the modules, completely ignoring the design of pedestrian flow. This can easily lead to problems such as the kitchen leading to the dining room and then around the bedroom, the entrance to the bathroom being too long, and the flow being circuitous and detours after combining multiple modules. The modular design is not reasonable enough, resulting in a poor living experience.

[0005] 3. Traditional scheme selection only considers the aesthetics of the renderings, ignoring building compliance, construction feasibility, and cost control. This often results in schemes that look good in renderings but do not meet regulations, cannot be constructed, or have costs far exceeding the budget. The selected schemes are not suitable for actual construction, resulting in poor scheme selection effectiveness. Summary of the Invention

[0006] This invention proposes a modular space customization design method and system for residential buildings to solve the problems mentioned in the background.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: A modular space customization design method for residential buildings according to the present invention includes the following steps: S1. Collect full housing demand information in the housing market, including the family life cycle distribution of end-user groups, core basic housing types, and personalized functional requirements for specific housing scenarios. S2. Based on the collected family life cycle distribution, the housing demand weights of different customer groups are divided, and a housing demand priority spectrum is constructed by combining the personalized functional needs of specific housing scenarios. S3. Based on the aforementioned priority spectrum of residential needs, establish a core basic housing type support system; S4. Based on the priority spectrum of residential needs and the core basic unit type carrying system, the functional space of the residential building is decomposed into units and divided into multiple independent functional modules; S5. Based on the core basic apartment type selected by the user, and combined with the user's personalized functional needs, the corresponding functional modules are matched from the prefabricated functional module library, and modular combination and arrangement are carried out to generate multiple sets of differentiated space customization schemes. S6. Based on the space customization plan, establish a comprehensive adaptability evaluation system for the modular space plan, and determine the modular space customization residential design plan based on the comprehensive adaptability evaluation system.

[0008] Preferably, the formula for calculating the weights of housing needs for different customer groups is as follows:

[0009] in, This represents the total number of categories for each stage of the family life cycle. For the first Family-like life cycle customer groups Based on housing needs, For the first Market penetration rate of this customer group For the first Customer groups of type 1 Average demand intensity score for hierarchical demand. This is the rigidity coefficient of the demand hierarchy. This represents the coupling coefficient for the demand scenario.

[0010] Preferably, the comprehensive fit evaluation system includes: Calculate the overall adaptability score for each group of space customization schemes, and determine the scheme with the highest overall adaptability score as the modular space customization residential design scheme; The formula for calculating the overall fit score is as follows:

[0011] in, For the first The group of space customization solutions to be evaluated , The total number of customized solutions for the space to be evaluated. For evaluation dimension numbers, For the first The weighting coefficients of each evaluation dimension, For the first Group scheme in the first Standardized individual scores for each evaluation dimension. The penalty coefficient for dimensional defects. This is a space utilization correction factor for the plan. For the first The overall fit score of the group scheme; The dimensional weights in the comprehensive suitability calculation formula need to be dynamically adjusted according to the weights of residential needs.

[0012] Preferably, S4 further includes: Each type of functional module is standardized and decomposed to obtain the core functional unit, basic structural unit, modular specifications and parameters, and general connection standard of the module. The core functional unit reflects the core living function of the module, the basic structural unit reflects the main spatial form and structural composition of the module, the modular specifications reflect quantifiable design indicators such as spatial dimensions and interface parameters of the module, and the general connection standard ensures that the functional module can be seamlessly connected with the basic apartment type and other functional modules. Based on the standardized information of the disassembled functional modules, a prefabricated functional module library is constructed. For high-frequency and essential functional modules in the kitchen and catering category, at least two sets of standardized prefabricated modules are pre-set in the module library. All prefabricated modules are manufactured in the factory with integrated prefabrication of structure, interior decoration, and electromechanical pipelines. After the user places an order, they can be directly transported to the site for assembly.

[0013] Preferably, during the generation of the space customization scheme, the smoothness of the space circulation is quantitatively verified by a circulation detour quantification formula; The formula for quantifying the detour of the movement path is as follows:

[0014] in, This represents the total length of the circulation paths in all functional spaces within the design. This is the baseline circulation length for the apartment layout. This represents the total number of functional modules. This represents the connectivity sequence number of adjacent functional modules. For the first The distance between the movement paths of two adjacent functional modules in a group. For the first The shortest straight-line distance between two adjacent functional modules in a group. This is the detour coefficient of the movement route.

[0015] Preferably, the method further includes: S7. In the modular space-customized residential design scheme, design a dynamic adjustment mechanism for modules throughout their entire life cycle; The module dynamic adjustment mechanism includes a module addition mechanism, a module replacement mechanism, and a module reduction mechanism. Module addition mechanism: Standardized connection points are reserved within the reserved space, and corresponding functional modules can be added as the family structure changes; Module replacement mechanism: All functional modules adopt standardized interface design. According to changes in living needs, the original functional modules are replaced with larger-sized modules with different functions. Module reduction mechanism: Remove unused functional modules and free up the corresponding space to transform it into open leisure space.

[0016] Preferably, in step S3, each type of functional module is standardized and decomposed, including: The main spatial form of the functional module is matched with the preset core functional construction module. Based on the matching result, the functional module is divided into at least one core functional construction module, which is used to carry the core functions of the functional module. Each core functional construction module is matched with a preset basic construction unit library, and each core functional construction module is decomposed into at least two basic construction units. By combining the modular specifications of the functional modules, the specifications and interface standards corresponding to each basic structural unit are obtained, thus completing the full-level standardized decomposition of the functional modules. The prefabricated functional module library constructed in step S3 includes: Based on the disassembled basic structural units and corresponding specifications, a set of basic structural units and a set of specifications are constructed. Through standardized combination, multiple sets of basic module information groups are generated. Each set of basic module information groups contains complete basic structural units, specifications, and interface standards. All basic module information groups are bound to their corresponding core functions and applicable scenarios and entered into the prefabricated functional module library. At the same time, each module is labeled with the corresponding basic house type, splicing conditions and on-site assembly requirements, forming a standardized module database that can be called, matched and combined.

[0017] Preferably, step S4 generates multiple sets of differentiated space customization schemes, specifically including: The user inputs the basic apartment type parameters and required functional module information into the modular space combination design model, and outputs multiple initial module layout schemes; wherein, the modular space combination design model is a machine learning model trained based on residential design specifications and massive apartment type scheme data; Each initial module layout scheme is verified and optimized for compliance and residential rationality. Schemes that do not comply with residential design standards, have circulation defects, or have unreasonable connections are eliminated. Finally, multiple sets of customized space schemes that meet user needs and are compliant and feasible are generated.

[0018] Preferably, in S7, the design of the module dynamic adjustment mechanism requires the simultaneous completion of the reserved connection points, pipeline interfaces, and structural support design to ensure that in the subsequent process of adding, replacing, or reducing modules, there is no need to dismantle or modify the main structure of the basic unit type, and space adjustment can be completed simply through standardized assembly.

[0019] A modular space customization design system for residential buildings, the system comprising: The housing demand information collection module is used to collect full housing demand information in the housing market. The housing demand information includes the family life cycle distribution of the end customer group, the core basic house types, and the personalized functional requirements of specific housing scenarios. The priority spectrum construction module is used to divide the housing needs weights of different customer groups based on the collected family life cycle distribution, and to construct a housing needs priority spectrum by combining the personalized functional needs of specific housing scenarios. The apartment layout support system construction module is used to build a core basic apartment layout support system based on the aforementioned priority spectrum of residential needs. The functional module division module is used to decompose the residential functional space into multiple independent functional modules based on the priority spectrum of residential needs and the core basic unit type carrying system. The residential customization module is used to match corresponding functional modules from the prefabricated functional module library based on the core basic house type selected by the user and combined with the user's personalized functional needs, and to carry out modular combination and arrangement to generate multiple sets of differentiated space customization schemes; based on the space customization schemes, a comprehensive adaptability evaluation system for modular space schemes is established, and based on the comprehensive adaptability evaluation system, a modular space customization residential design scheme is determined; in the modular space customization residential design scheme, a dynamic adjustment mechanism for modules throughout the entire life cycle is designed.

[0020] As can be seen from the above technical solution, the present invention provides a modular space customization design method and system for residential buildings. Compared with the prior art, the present invention has the following advantages: 1. This invention, based on the collected distribution of family life cycles, divides the residential needs of different customer groups into weights, and combines them with the personalized functional needs of specific residential scenarios to construct a priority spectrum of residential needs. This ensures that the basic apartment type and modular system meet the core needs of the public, and enables cost reduction through large-scale factory prefabrication. At the same time, it reserves space for adjustments to personalized needs, improving design efficiency.

[0021] 2. In the process of generating a customized space plan, this invention uses a circulation detour quantification formula to quantitatively verify the smoothness of the space circulation. If the circulation detour coefficient is not up to standard, the module layout of the plan needs to be optimized and adjusted to ensure the living rationality of the plan, improve the rationality of the module design, and enhance the living experience.

[0022] 3. This invention establishes a comprehensive adaptability evaluation system for modular space solutions based on space customization schemes. Based on the comprehensive adaptability evaluation system, the comprehensive adaptability score of each group of space customization schemes is calculated. The scheme with the highest comprehensive adaptability score is determined as the modular space customization residential design scheme, and schemes that are not suitable for construction are screened out, thereby improving the adaptability of the screened schemes. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating a modular space customization design method for residential buildings according to the present invention.

[0024] Figure 2 This is a system block diagram of a feature selection system based on a causal graph model in federated learning according to the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0026] like Figure 1 As shown in this embodiment, a modular space customization design method for residential buildings includes the following steps: S1. Collect full housing demand information in the housing market. The housing demand information includes the family life cycle distribution of end users, core basic housing types, and personalized functional requirements for specific housing scenarios. S2. Based on the collected family life cycle distribution, the housing demand weights of different customer groups are divided, and a housing demand priority spectrum is constructed by combining the personalized functional needs of specific housing scenarios. The housing demand priority spectrum is used to clarify the hierarchy and priority of basic rigid demand, improvement demand, and personalized customization demand; S3. Based on the priority spectrum of residential needs, establish a core basic housing type support system; S4. Based on the priority spectrum of residential needs and the core basic unit type carrying system, the functional space of the residential building is decomposed into units and divided into multiple independent functional modules; S5. Based on the core basic apartment type selected by the user, and combined with the user's personalized functional needs, the corresponding functional modules are matched from the prefabricated functional module library, and modular combination and arrangement are carried out to generate multiple sets of differentiated space customization schemes. S6. Based on the space customization plan, establish a comprehensive adaptability evaluation system for modular space solutions, and determine the modular space customization residential design plan based on the comprehensive adaptability evaluation system.

[0027] Specifically, taking a newlywed couple as an example, the requirements are as follows: With a limited renovation budget, the initial total investment will not exceed 80,000 yuan. I do not want to make a large one-time expenditure and hope to invest in stages as needed. It currently meets the basic living needs of a two-person household, while also accommodating home office and weekend leisure and social functions; If there are plans to have children in the next 3-5 years, the elderly will live with us in stages. The space can be flexibly adjusted as needed, and the functional expansion can be achieved without demolishing or altering the main structure. Instead of filling the entire space, they hope to reserve some unused space to create a private courtyard or terrace to enhance living comfort.

[0028] First, based on the full data of the residential market, we completed the classification of family life cycles (n=5, namely single young people, two-person families, three-person families, multi-generational families, and empty nest families). The two-person family customer group with i=2 has a market penetration rate of P_i=28.3%, which is the current mainstream home-buying customer group in the market. Through needs assessment, we obtained scores on the intensity of personalized needs for this customer group and its users: Basic essential needs (k=1, living space, storage, lighting, ventilation): ; Improvement needs (k=2, home office, leisure, and kitchen quality): ; Personalized customization needs (k=3, trendy designs, niche features): ; Combined with the demand rigidity coefficient =1、 =0.7、 =0.4, and the coupling coefficient of the demand scenario. , as well as ; Furthermore, the formula for calculating the weight of housing needs for different customer groups is as follows:

[0029] in, This represents the total number of categories for each stage of the family life cycle. For the first Family-like life cycle customer groups Based on housing needs, For the first Market penetration rate of this customer group For the first Customer groups of type 1 Average demand intensity score for hierarchical demand. This is the rigidity coefficient of the demand hierarchy. This represents the coupling coefficient for the demand scenario.

[0030] Final Press , , The values ​​are ranked from high to low to determine the priority order of the demand levels and to complete the quantitative construction of the housing demand priority spectrum. Specifically, the final calculation is as follows: , as well as Complete the construction of a priority spectrum for housing needs; Based on the above priority spectrum of requirements, this project adopts... The core basic unit type is a standardized main unit with 2 bedrooms, 1 living room, and 1 bathroom. It has a complete shear wall structure and a universal pipeline connection system throughout the house. Six standardized module connection points are reserved in the east, west, and south directions of the unit type, which fully matches the basic layout of one core unit type and six surrounding modules. All connection points adopt building modules that are multiples of 300mm, and water, electricity, heating and ventilation pipeline interfaces and structural support embedded parts are reserved, which fully complies with the requirements of the "Residential Design Code". Furthermore, S4 also includes: Each type of functional module is standardized and decomposed to obtain the core functional unit, basic structural unit, modular specifications and parameters, and general connection standards of the module. Among them, the core functional unit reflects the core living function of the module, the basic structural unit reflects the main spatial form and structural composition of the module, the modular specifications reflect the quantifiable design indicators such as the spatial dimensions and interface parameters of the module, and the general connection standards ensure that the functional module can be seamlessly connected with the basic unit type and other functional modules. Based on the standardized information of the disassembled functional modules, a prefabricated functional module library is constructed. For high-frequency and essential functional modules in the kitchen and catering category, at least two sets of standardized prefabricated modules are pre-set in the module library. All prefabricated modules are manufactured in the factory with integrated prefabrication of structure, interior decoration, and electromechanical pipelines. After the user places an order, they can be directly transported to the site for assembly.

[0031] Specifically, based on the core basic apartment type selected by the user, and combined with their core needs of initial on-demand configuration and reserving space for future iterations, corresponding modules are matched from the module library to generate three sets of differentiated space customization solutions: Option A: Configure 2 modules, a home office module and a leisure balcony module, with 4 remaining connection points reserved, and the unused space will be transformed into a 20㎡ south-facing private courtyard; Option B: Configure 4 modules: children's room module + elderly room module + expanded bathroom module + storage module, with the remaining 2 locations reserved for a small terrace; Option C: All 6 connection points are equipped with modules to achieve a fully functional layout of 4 bedrooms and 2 bathrooms.

[0032] Furthermore, during the process of generating a customized spatial solution, the smoothness of the spatial circulation is quantitatively verified through a circulation detour quantification formula. The formula for quantifying the detour of the movement path is as follows:

[0033] in, This represents the total length of the circulation paths in all functional spaces within the design. This is the baseline circulation length for the apartment layout. This represents the total number of functional modules. This represents the connectivity sequence number of adjacent functional modules. For the first The distance between the movement paths of two adjacent functional modules in a group. For the first The shortest straight-line distance between two adjacent functional modules in a group. The detour coefficient of the movement route; when If the layout is deemed to have serious flaws, the module arrangement of the plan needs to be optimized and adjusted to ensure the living rationality of the plan.

[0034] Specifically, for the three schemes, the smoothness of the circulation path was verified using the circulation path detour quantification formula of this invention. The core parameters are as follows: the baseline circulation path length of the core unit type L0 = 11.2m, the total circulation path length of Scheme A is L = 12.6m, the number of functional modules is q = 2, and the average ratio of the circulation path connection distance between adjacent functional modules and the core unit type to the shortest straight-line distance is 1.8. Substituting these parameters into the formula:

[0035] Option A It is infinitely close to 1, with excellent flow and is far lower than 1. Similarly, calculate scheme B. Option C All of them meet the requirements for fluency; Furthermore, the comprehensive fit evaluation system includes: Calculate the overall adaptability score of each set of space customization schemes, and determine the scheme with the highest overall adaptability score as the final modular space customization residential design scheme; The formula for calculating the overall fit score is as follows:

[0036] in, For the first The group of space customization solutions to be evaluated , The total number of customized solutions for the space to be evaluated. For evaluation dimension numbers, For the first The weighting coefficients of each evaluation dimension, For the first Group scheme in the first Standardized individual scores for each evaluation dimension. The penalty coefficient for dimensional defects. This is a space utilization correction factor for the plan. For the first The overall fit score of the group scheme; The dimensional weights in the overall suitability calculation formula need to be dynamically adjusted according to the weights of housing needs.

[0037] For the three schemes, the scores are calculated using a comprehensive fit formula with rigid dimension correction. The core parameters are as follows: space utilization correction coefficient. Option A = 1.04, with space utilization exceeding the industry benchmark; Option B = 1.01; Option C = 0.98; Individual scores for each dimension. All meet the standards, and the defect penalty coefficient is [missing information]. No compliance defects, substitute into the formula: The final calculated overall suitability score for scheme A is: Solution B's overall suitability score Solution C's overall adaptability score Based on the scores, solution A was ultimately selected as the user's final design solution, while the full-cycle iteration paths of solutions B and C were retained. Furthermore, the methods also include: S7. In the modular space-customized residential design scheme, design a dynamic adjustment mechanism for modules throughout their entire life cycle; The module dynamic adjustment mechanism includes a module addition mechanism, a module replacement mechanism, and a module reduction mechanism: Module addition mechanism: Standardized connection points are reserved within the reserved space, and corresponding functional modules can be added as the family structure changes; Module replacement mechanism: All functional modules adopt standardized interface design. According to changes in living needs, the original functional modules are replaced with larger-sized modules with different functions. Module reduction mechanism: Remove unused functional modules and free up the corresponding space to transform it into open leisure space.

[0038] Specifically, the final solution incorporates a dynamic adjustment mechanism for the entire module lifecycle. All reserved connection points have been pre-designed with embedded pipelines and structures, allowing for module addition, replacement, and reduction without altering the main structure. Modular addition mechanism: If you become pregnant 2 years later, you can directly add children's room modules and storage modules at the reserved locations. After the factory prefabrication is completed, the on-site assembly and debugging can be completed in 1 week, without the need for a complete house renovation. Module replacement mechanism: When the child is 3 years old and the grandparents come to live with them, the original bathroom module can be replaced with an expanded bathroom module, and a room module for the elderly can be added. The upgrade can be completed in 2 weeks, adapting to the needs of multi-generational living. Modular reduction mechanism: After children grow up and leave home, the children's room and elderly room modules can be removed, and the freed-up space can be renovated into a leisure courtyard and fitness module to meet the retirement living needs of a two-person family. Furthermore, S3 standardizes and breaks down each type of functional module, including: The main spatial form of the functional module is matched with the preset core functional construction module. Based on the matching result, the functional module is divided into at least one core functional construction module. The core functional construction module is used to carry the core functions of the functional module. Each core functional construction module is matched with a preset basic construction unit library, and each core functional construction module is decomposed into at least two basic construction units. By combining the modular specifications of the functional modules, the specifications and interface standards corresponding to each basic structural unit are obtained, thus completing the full-level standardized decomposition of the functional modules. Step S3 involves building a prefabricated functional module library, including: Based on the disassembled basic structural units and corresponding specifications, a set of basic structural units and a set of specifications are constructed. Through standardized combination, multiple sets of basic module information groups are generated. Each set of basic module information groups contains complete basic structural units, specifications, and interface standards. All basic module information groups are bound to their corresponding core functions and applicable scenarios and entered into the prefabricated functional module library. At the same time, each module is labeled with the corresponding basic house type, splicing conditions and on-site assembly requirements, forming a standardized module database that can be called, matched and combined.

[0039] Furthermore, step S4 generates multiple sets of differentiated space customization schemes, specifically including: The user inputs the basic apartment type parameters and required functional module information into the modular space combination design model, and outputs multiple initial module layout schemes; the modular space combination design model is a machine learning model trained based on residential design specifications and massive apartment type scheme data; Each initial module layout scheme is verified and optimized for compliance and residential rationality. Schemes that do not comply with residential design standards, have circulation defects, or have unreasonable connections are eliminated. Finally, multiple sets of customized space schemes that meet user needs and are compliant and feasible are generated.

[0040] Furthermore, in S6, the design of the module dynamic adjustment mechanism requires the simultaneous completion of the reserved connection points, pipeline interfaces, and structural support design to ensure that in the subsequent process of adding, replacing, or reducing modules, there is no need to dismantle or modify the main structure of the basic unit type; space adjustment can be completed simply through standardized assembly.

[0041] like Figure 2 As shown, a modular space customization design system for residential buildings includes: The housing demand information collection module is used to collect full housing demand information in the housing market. The housing demand information includes the family life cycle distribution of the end customer group, the core basic housing type, and the personalized functional requirements of specific housing scenarios. The priority spectrum construction module is used to divide the housing needs weights of different customer groups based on the collected family life cycle distribution, and to construct a housing needs priority spectrum by combining the personalized functional needs of specific housing scenarios. The apartment layout system construction module is used to build a core basic apartment layout system based on the priority spectrum of residential needs; The functional module division module is used to decompose the residential functional space into multiple independent functional modules based on the priority spectrum of residential needs and the core basic unit type carrying system. The residential customization module is used to match corresponding functional modules from the prefabricated functional module library based on the core basic unit type selected by the user and combined with the user's personalized functional needs, and to carry out modular combination and arrangement to generate multiple sets of differentiated space customization schemes. Based on the space customization schemes, a comprehensive adaptability evaluation system for modular space schemes is established, and based on the comprehensive adaptability evaluation system, the modular space customization residential design scheme is determined. In the modular space customization residential design scheme, a dynamic adjustment mechanism for modules throughout the entire life cycle is designed.

[0042] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk), etc.

[0043] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0044] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0045] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A modular space customization design method for residential buildings, characterized in that, Includes the following steps: S1. Collect full housing demand information in the housing market, including the family life cycle distribution of end-user groups, core basic housing types, and personalized functional requirements for specific housing scenarios. S2. Based on the collected family life cycle distribution, the housing demand weights of different customer groups are divided, and a housing demand priority spectrum is constructed by combining the personalized functional needs of specific housing scenarios. S3. Based on the aforementioned priority spectrum of residential needs, establish a core basic housing type support system; S4. Based on the priority spectrum of residential needs and the core basic unit type carrying system, the functional space of the residential building is decomposed into units and divided into multiple independent functional modules; S5. Based on the core basic apartment type selected by the user, and combined with the user's personalized functional needs, the corresponding functional modules are matched from the prefabricated functional module library, and modular combination and arrangement are carried out to generate multiple sets of differentiated space customization schemes. S6. Based on the space customization plan, establish a comprehensive adaptability evaluation system for the modular space plan, and determine the modular space customization residential design plan based on the comprehensive adaptability evaluation system.

2. The modular space customization design method for residential buildings according to claim 1, characterized in that: The formula for calculating the weight of housing needs for different customer groups is as follows: in, This represents the total number of categories for each stage of the family life cycle. For the first Family-like life cycle customer groups Based on housing needs, For the first Market penetration rate of this customer group For the first Customer groups of type Average demand intensity score for hierarchical demand. This is the rigidity coefficient of the demand hierarchy. This represents the coupling coefficient for the demand scenario.

3. The modular space customization design method for residential buildings according to claim 2, characterized in that: The comprehensive fit evaluation system includes: Calculate the overall adaptability score for each group of space customization schemes, and determine the scheme with the highest overall adaptability score as the modular space customization residential design scheme; The formula for calculating the overall fit score is as follows: in, For the first The group of space customization solutions to be evaluated , The total number of customized solutions for the space to be evaluated. For evaluation dimension numbers, For the first The weighting coefficients of each evaluation dimension, For the first Group scheme in the first Standardized individual scores for each evaluation dimension. The penalty coefficient for dimensional defects. This is a space utilization correction factor for the plan. For the first The overall suitability score of the group scheme; The dimensional weights in the comprehensive suitability calculation formula need to be dynamically adjusted according to the weights of residential needs.

4. The modular space customization design method for residential buildings according to claim 3, characterized in that: S4 further includes: Each type of functional module is standardized and decomposed to obtain the core functional unit, basic structural unit, modular specifications and parameters, and general connection standard of the module. The core functional unit reflects the core living function of the module, the basic structural unit reflects the main spatial form and structural composition of the module, the modular specifications reflect quantifiable design indicators such as spatial dimensions and interface parameters of the module, and the general connection standard ensures that the functional module can be seamlessly connected with the basic apartment type and other functional modules. Based on the standardized information of the disassembled functional modules, a prefabricated functional module library is constructed; for high-frequency and essential functional modules in the kitchen and catering category, several sets of standardized prefabricated modules are preset in the module library.

5. A modular space customization design method for residential buildings according to claim 4, characterized in that: During the generation of the space customization scheme, the smoothness of the space circulation is quantitatively verified by the circulation detour quantification formula; The formula for quantifying the detour of the movement path is as follows: in, This represents the total length of the circulation paths in all functional spaces within the design. This is the baseline circulation length for the apartment layout. This represents the total number of functional modules. This represents the connectivity sequence number of adjacent functional modules. For the first The distance between the movement paths of two adjacent functional modules in a group. For the first The shortest straight-line distance between two adjacent functional modules in a group. This is the detour coefficient of the movement route.

6. A modular space customization design method for residential buildings according to claim 5, characterized in that: The method further includes: S7. In the modular space-customized residential design scheme, design a dynamic adjustment mechanism for modules throughout their entire life cycle; The module dynamic adjustment mechanism includes a module addition mechanism, a module replacement mechanism, and a module reduction mechanism. Module addition mechanism: Standardized connection points are reserved within the reserved space, and corresponding functional modules can be added as the family structure changes; Module replacement mechanism: All functional modules adopt standardized interface design. According to changes in living needs, the original functional modules are replaced with larger-sized modules with different functions. Module reduction mechanism: Remove unused functional modules and free up the corresponding space to transform it into open leisure space.

7. A modular space customization design method for residential buildings according to claim 6, characterized in that: Step S3 involves standardized decomposition of each type of functional module, including: The main spatial form of the functional module is matched with the preset core functional construction module. Based on the matching result, the functional module is divided into at least one core functional construction module, which is used to carry the core functions of the functional module. Each core functional construction module is matched with a preset basic construction unit library, and each core functional construction module is decomposed into at least two basic construction units. By combining the modular specifications of the functional modules, the specifications and interface standards corresponding to each basic structural unit are obtained, thus completing the full-level standardized decomposition of the functional modules. The prefabricated functional module library constructed in step S3 includes: Based on the disassembled basic structural units and corresponding specifications, a set of basic structural units and a set of specifications are constructed. Through standardized combination, multiple sets of basic module information groups are generated. Each set of basic module information groups contains complete basic structural units, specifications, and interface standards. All basic module information groups are bound to their corresponding core functions and applicable scenarios and entered into the prefabricated functional module library. At the same time, each module is labeled with the appropriate basic house type, splicing conditions and on-site assembly requirements to form a module database.

8. A modular space customization design method for residential buildings according to claim 7, characterized in that: Step S4 generates multiple sets of differentiated space customization schemes, including: The user inputs the basic apartment type parameters and required functional module information into the modular space combination design model, and outputs multiple initial module layout schemes; wherein, the modular space combination design model is a machine learning model trained based on residential design specifications and massive apartment type scheme data; Each initial module layout plan is verified and optimized for compliance and livability, eliminating plans that do not comply with residential design standards, have circulation defects, or have unreasonable connections, ultimately generating a customized space plan.

9. A modular space customization design method for residential buildings according to claim 8, characterized in that: In S7, the design of the module dynamic adjustment mechanism requires the simultaneous completion of the reserved design for connection points, pipeline interfaces, and structural supports.

10. A modular space customization design system for residential buildings, employing the modular space customization design method for residential buildings according to any one of claims 1-9, characterized in that, The system includes The housing demand information collection module is used to collect full housing demand information in the housing market. The housing demand information includes the family life cycle distribution of the end customer group, the core basic house types, and the personalized functional requirements of specific housing scenarios. The priority spectrum construction module is used to divide the housing needs weights of different customer groups based on the collected family life cycle distribution, and to construct a housing needs priority spectrum by combining the personalized functional needs of specific housing scenarios. The apartment layout support system construction module is used to build a core basic apartment layout support system based on the aforementioned priority spectrum of residential needs. The functional module division module is used to decompose the residential functional space into multiple independent functional modules based on the priority spectrum of residential needs and the core basic unit type carrying system. The residential customization module is used to match corresponding functional modules from the prefabricated functional module library based on the core basic house type selected by the user and combined with the user's personalized functional needs, to carry out modular combination and arrangement, and generate multiple sets of differentiated space customization solutions. Based on the space customization plan, a comprehensive adaptability evaluation system for modular space solutions is established, and based on the comprehensive adaptability evaluation system, a modular space customization residential design plan is determined. In the modular space-customized residential design scheme, a dynamic adjustment mechanism for modules throughout the entire life cycle is designed.

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