Residential building construction process analysis system and method based on personalized residential building design concept

Abstract

The invention relates to the technical field of system engineering, and discloses a residence construction process analysis system and method based on a personalized residence design idea, and the system comprises a health data sensing module, a digital twin modeling module, a construction optimization decision module, a block chain control platform and an intelligent construction execution module. By formulating healthy space index reference parameters and setting differentiated detection standards for different healthy functional areas, accurate adaptation of multi-type healthy space construction is ensured; meanwhile, a sensor network is arranged at construction key nodes, illumination distribution and oxygen source diffusion states are captured in real time, and the spaces of the residences are connected through a 2-meter glass structure, so that 360-degree lighting of the residences is achieved, the health performance of the living spaces is guaranteed from the source, and the real-time monitoring of the residences is achieved by calculating the bridging angle deviation value of the glass curtain wall and the connecting displacement of the moving footpath in real time. Whether component positioning deviates from the design standard or not is automatically judged.

Description

Technical Field

[0001] The present invention relates to the technical field of system engineering, and in particular to a residential construction process analysis system and method based on a personalized residential design concept. Background Art

[0002] The residential construction process refers to the reasonable construction sequence followed when implementing construction projects and unit projects, covering many aspects of technology, management, and materials. The process involves the dimensional planning of the span and depth of the house, the roughening and roughening techniques to improve the adhesion of building materials, and the characteristics of horizontal wall load-bearing, vertical wall load-bearing, and mixed vertical and horizontal wall load-bearing.

[0003] Currently, during residential construction, the construction process involves complex procedures due to the high degree of customization required by personalized residential design concepts, 360-degree lighting optimization, three-dimensional oxygen source system layout, and adaptability to multi-generational living spaces. When conducting real-time monitoring of construction environment health indicators, the equipped sensor system is unable to detect in real time whether there are deviations in the light distribution in the construction area. Uneven light exposure may cause the vitamin D synthesis threshold of the healthy space indicator to fail to meet the standard, affecting construction accuracy and living comfort. At the same time, when positioning structural components, it is impossible to detect in real time whether the construction angle and position meet the design standards. The deviation of the glass curtain wall bridge inclination angle leads to reduced adaptability of the spatial function, and there is a lack of an immediate correction mechanism when positioning is abnormal. When constructing indoor gardens and exercise trails in personalized areas, due to the variable design, it is impossible to achieve hierarchical adaptive detection of health parameters, oxygen source concentration gradients, and barrier-free connectivity in different areas, resulting in fluctuations in construction quality, further affecting the health performance and safety and reliability of the entire residence.

[0004] Therefore, a residential construction process analysis system and method based on the concept of personalized residential design is proposed to solve the above problems. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In view of the deficiencies in the prior art, the present invention provides a residential construction process analysis system and method based on the concept of personalized residential design, which solves the problems raised in the above-mentioned background technology.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention provides the following technical solutions: a residential construction process analysis system and method based on the concept of personalized residential design, comprising:

[0009] S1. Real-time collection of environmental health data, structural construction data, and ecological facility data from the construction site through a multi-source sensor network, including: light intensity distribution values ​​for the 360-degree lighting area, oxygen concentration gradient values ​​for the three-dimensional oxygen source system, and spatial topology parameters of the exercise trails directly connected to each household;

[0010] S2. Build a dynamic digital twin model of construction, mapping the collected data into healthy space indicators in the virtual construction scene, including: light refraction efficiency parameters of glass curtain wall bridge areas, oxygen source diffusion efficiency values ​​of indoor garden squares, and spatial adaptability parameters of multi-generational units;

[0011] S3. Analyze healthy space indicators based on artificial intelligence algorithms and generate a construction health defect diagnosis report when it detects that the local illumination value is lower than the preset threshold, the oxygen source concentration does not meet the standard value, and the functional space connectivity path does not meet the design requirements;

[0012] S4. Drive the parametric engine based on the diagnostic report to dynamically optimize the glass curtain wall bridging angle to improve lighting uniformity, adjust the layout of the vertical green wall in the indoor garden square to eliminate oxygen blind spots, and reconstruct the connection nodes of the sports trail to ensure barrier-free access.

[0013] S5. Verify the structural safety and ecological efficiency of the optimized solution through the digital management platform, and generate a construction control instruction set that includes material specification update instructions and process adjustment sequence;

[0014] S6. Execute the control instruction set to regulate the on-site construction process and synchronously update the digital twin model until all health indicators meet the standards.

[0015] Preferably, the S1 includes:

[0016] S11. Use a distributed light sensor matrix to collect light intensity distribution values ​​at all directions on the building surface, and use a laser scanner to obtain light refraction path data in the glass curtain wall bridge area between households;

[0017] S12. Deploy an oxygen concentration monitoring node network to obtain real-time oxygen source concentration gradient values ​​for the 3,600 m2 indoor garden plaza and the 90 m2 household garden.

[0018] S13. Use BIM modeling equipment to extract community functional space layout data including the 280m circular sports trail topology and the spatial coupling relationship between the nursing home and the daycare center.

[0019] Preferably, the S2 includes:

[0020] S21, importing the light refraction path data into an optical simulation engine to calculate the reflection / refraction efficiency parameters of the glass curtain wall bridge area in the full-dimensional lighting model;

[0021] S22. Simulate the oxygen diffusion path within the three-dimensional oxygen source system based on a computational fluid dynamics algorithm to generate oxygen source efficiency parameters including the optimal plant configuration density and the ventilation system coupling coefficient;

[0022] S23. Use a spatial topology analysis algorithm to verify the spatial permeability of independent study rooms and shared gardens in multi-generational units, and output the adaptability parameters of spaces suitable for both the elderly and children.

[0023] Preferably, the S3 includes:

[0024] S31. When the illuminance value of a local area in the 360° lighting simulation parameters is lower than 1000 lux, mark it as a lighting uniformity deviation area and record the three-dimensional coordinates;

[0025] S32, identifying a spatial region where the oxygen concentration is lower than 21% in the three-dimensional oxygen source efficiency parameter, and generating a coordinate set of an oxygen source coverage blind area;

[0026] S33. When the width of the connecting path between the private space and the shared garden in the multi-generational adaptability parameter is less than 2m, a functional space adaptability defect list is generated.

[0027] Preferably, the S4 includes:

[0028] S41. Dynamically adjust the glass curtain wall bridging angle according to the lighting uniformity deviation value. The optimization formula is:

[0029]

[0030] Where θ represents the optimized glass curtain wall bridging angle, n1 represents the refractive index of air, n2 represents the refractive index of glass, ΔL represents the deviation between the measured illuminance and the target illuminance, and L0 represents the standard illuminance threshold.

[0031] Preferably, the S5 includes:

[0032] S51. Verify the structural safety of the optimized glass curtain wall bridging angle;

[0033] S52. Generate a material list update command for the newly added vertical green wall of the three-dimensional oxygen source system and perform structural stability verification:

[0034]

[0035] where σ max Indicates the maximum stress value of the vertical green wall base, F g represents the vegetation gravity load per unit area, H represents the height of the vertical green wall, θ represents the installation angle, A c Indicates the cross-sectional area of ​​a single load-bearing support, M w represents the wind load bending moment, y represents the distance from the neutral axis of the section to the edge, I z represents the moment of inertia of the cross section of the load-bearing bracket;

[0036] When σ max When it is greater than 0.8, the load-bearing bracket specification upgrade instruction is automatically triggered, fy is the yield strength of steel;

[0037] S53. Develop a timeline for acceptance standards for healthy spaces, including pre-buried smoke exhaust ducts in community canteens.

[0038] Preferably, the S6 includes:

[0039] S61. Execute the material list update command through the IoT tower crane system to accurately deliver ETFE membrane materials with a light transmittance greater than 90% to the glass curtain wall bridge area;

[0040] S62. Use modular construction robots to install vertical green walls with three-dimensional oxygen source systems, ensuring that they can support more than 6 plants per square meter;

[0041] S63. The EPDM rubber surface layer can only be laid after the compaction degree of the sports trail base reaches 95% based on the BIM-5D platform monitoring.

[0042] Preferably, it also includes:

[0043] S7. During the construction acceptance phase, augmented reality equipment is used to overlay the measured values ​​of healthy space indicators, including:

[0044] S71. Project an oxygen concentration contour map on the 3,600 m2 indoor garden plaza;

[0045] S72. Mark qualified areas for installation of silent and shock-absorbing cushioning on the sports trails directly connected to each household;

[0046] S73. Visualize the structural transformation nodes of a study room that can be converted into a bedroom in a multi-generational living unit.

[0047] Preferably, it also includes:

[0048] S8. Establish a blockchain-based construction health record, permanently storing:

[0049] S81. Certification report on light refraction performance of glass curtain wall bridge areas;

[0050] S82, plant carbon sink measurement data of three-dimensional oxygen source system;

[0051] S83. Accessibility acceptance records of elderly-friendly facilities in community nursing homes.

[0052] Preferably, including:

[0053] The health data perception module includes a distributed light sensor matrix, an oxygen concentration monitoring node network, and a BIM space scanning unit to collect 360-degree lighting parameters, three-dimensional oxygen source concentration gradient values, and multi-generational space topology data at the construction site;

[0054] The digital twin modeling module includes an optical simulation engine, a fluid dynamics calculation unit, and a spatial fitness analyzer, and builds a construction dynamic model that includes a glass curtain wall bridge model, an oxygen source diffusion path model, and a variable spatial structure;

[0055] The construction optimization decision module includes a lighting uniformity diagnosis unit, an oxygen source blind spot locator, and a functional space defect detector. It generates a construction health defect diagnosis report and drives the parametric design engine for process optimization.

[0056] The blockchain control platform includes a process feasibility verification unit, a dynamic instruction generator, a health acceptance standard library, and outputs instructions for updating the bill of materials and adjusting the process timing.

[0057] The intelligent construction execution module, including the IoT tower crane system, modular construction robots, and BIM-5D monitoring terminals, executes the control of the healthy space construction process.

[0058] (3) Beneficial effects

[0059] Compared with the existing technology, the present invention provides a residential construction process analysis system and method based on the concept of personalized residential design, which has the following beneficial effects:

[0060] 1. In the present invention, by setting up a health monitoring terminal, when conducting residential construction environment monitoring, by formulating healthy space indicator benchmark parameters and setting differentiated detection standards for different health functional areas, accurate adaptation of multi-type healthy space construction is guaranteed; at the same time, a sensor network is deployed at key construction nodes to capture light distribution and oxygen source diffusion status in real time, and a 2-meter glass structure is used to connect the spaces between residences, thereby achieving 360-degree lighting in the residence and ensuring the health performance of the living space from the source.

[0061] 2. In the present invention, by setting a construction positioning terminal, when carrying out personalized structural construction, the glass curtain wall bridge angle deviation value and the movement walkway connection displacement are calculated in real time to automatically determine whether the component positioning deviates from the design standard; when abnormal curtain wall inclination angle and excessive walkway connection gap are detected, the positioning correction mechanism is immediately triggered, and the parametric engine is linked to dynamically adjust the construction coordinates, so that construction errors in key health spaces can be corrected in real time, avoiding lighting failure and barrier-free access interruption due to angle deviation.

[0062] 3. In the present invention, by setting up a partition adapter, spatial topology analysis technology is used during the construction acceptance stage to automatically divide the private study and shared garden in the multi-generational unit into independent functional areas; by grading the health parameters of each area and outputting a customized acceptance report based on the regional characteristics, the construction quality of the complex structures of variable space conversion nodes and aging-friendly facilities can be controlled in a hierarchical manner, eliminating the distortion of health function assessment caused by mixed detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic diagram of the overall system architecture of the present invention. DETAILED DESCRIPTION

[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0065] See also Figure 1 The residential construction process analysis system and method based on the personalized residential design concept includes:

[0066] S1. Real-time collection of environmental health data, structural construction data, and ecological facility data from the construction site through a multi-source sensor network, including: light intensity distribution values ​​for the 360-degree lighting area, oxygen concentration gradient values ​​for the three-dimensional oxygen source system, and spatial topology parameters of the exercise trails directly connected to each household;

[0067] S2. Build a dynamic digital twin model of construction, mapping the collected data into healthy space indicators in the virtual construction scene, including: light refraction efficiency parameters of glass curtain wall bridge areas, oxygen source diffusion efficiency values ​​of indoor garden squares, and spatial adaptability parameters of multi-generational units;

[0068] S3. Analyze healthy space indicators based on artificial intelligence algorithms and generate a construction health defect diagnosis report when it detects that the local illumination value is lower than the preset threshold, the oxygen source concentration does not meet the standard value, and the functional space connectivity path does not meet the design requirements;

[0069] S4. Drive the parametric engine based on the diagnostic report to dynamically optimize the glass curtain wall bridging angle to improve lighting uniformity, adjust the layout of the vertical green wall in the indoor garden square to eliminate oxygen blind spots, and reconstruct the connection nodes of the sports trail to ensure barrier-free access.

[0070] S5. Verify the structural safety and ecological efficiency of the optimized solution through the digital management platform, and generate a construction control instruction set that includes material specification update instructions and process adjustment sequence;

[0071] S6. Execute the control instruction set to regulate the on-site construction process and synchronously update the digital twin model until all health indicators meet the standards.

[0072] S1 includes:

[0073] S11. Use a distributed light sensor matrix to collect light intensity distribution values ​​at all directions on the building surface, and use a laser scanner to obtain light refraction path data in the glass curtain wall bridge area between households;

[0074] S12. Deploy an oxygen concentration monitoring node network to obtain real-time oxygen source concentration gradient values ​​for the 3,600 m2 indoor garden plaza and the 90 m2 household garden.

[0075] S13. Use BIM modeling equipment to extract community functional space layout data including the 280m circular sports trail topology and the spatial coupling relationship between the nursing home and the daycare center.

[0076] S2 includes:

[0077] S21, importing the light refraction path data into an optical simulation engine to calculate the reflection / refraction efficiency parameters of the glass curtain wall bridge area in the full-dimensional lighting model;

[0078] S22. Simulate the oxygen diffusion path within the three-dimensional oxygen source system based on a computational fluid dynamics algorithm to generate oxygen source efficiency parameters including the optimal plant configuration density and the ventilation system coupling coefficient;

[0079] S23. Use a spatial topology analysis algorithm to verify the spatial permeability of independent study rooms and shared gardens in multi-generational units, and output the adaptability parameters of spaces suitable for both the elderly and children.

[0080] S3 includes:

[0081] S31. When the illuminance value of a local area in the 360° lighting simulation parameters is lower than 1000 lux, mark it as a lighting uniformity deviation area and record the three-dimensional coordinates;

[0082] S32, identifying a spatial region where the oxygen concentration is lower than 21% in the three-dimensional oxygen source efficiency parameter, and generating a coordinate set of an oxygen source coverage blind area;

[0083] S33. When the width of the connecting path between the private space and the shared garden in the multi-generational adaptability parameter is less than 2m, a functional space adaptability defect list is generated.

[0084] S4 includes:

[0085] S41. Dynamically adjust the glass curtain wall bridging angle according to the lighting uniformity deviation value. The optimization formula is:

[0086]

[0087] Where θ represents the optimized glass curtain wall bridging angle, n1 represents the refractive index of air, n2 represents the refractive index of glass, ΔL represents the deviation between the measured illuminance and the target illuminance, and L0 represents the standard illuminance threshold.

[0088] S5 includes:

[0089] S51. Verify the structural safety of the optimized glass curtain wall bridging angle;

[0090] S52. Generate a material list update command for the newly added vertical green wall of the three-dimensional oxygen source system and perform structural stability verification:

[0091]

[0092] where σ max Indicates the maximum stress value of the vertical green wall base, F g represents the vegetation gravity load per unit area, H represents the height of the vertical green wall, θ represents the installation angle, A c Indicates the cross-sectional area of ​​a single load-bearing support, M w represents the wind load bending moment, y represents the distance from the neutral axis of the section to the edge, I z represents the moment of inertia of the cross section of the load-bearing bracket;

[0093] When σ max When it is greater than 0.8, the load-bearing bracket specification upgrade instruction is automatically triggered, f y is the yield strength of steel;

[0094] S53. Develop a timeline for acceptance standards for healthy spaces, including pre-buried smoke exhaust ducts in community canteens.

[0095] S6 includes:

[0096] S61. Execute the material list update command through the IoT tower crane system to accurately deliver ETFE membrane materials with a light transmittance greater than 90% to the glass curtain wall bridge area;

[0097] S62. Use modular construction robots to install vertical green walls with three-dimensional oxygen source systems, ensuring that they can support more than 6 plants per square meter;

[0098] S63. The EPDM rubber surface layer can only be laid after the compaction degree of the sports trail base reaches 95% based on the BIM-5D platform monitoring.

[0099] Also includes:

[0100] S7. During the construction acceptance phase, augmented reality equipment is used to overlay the measured values ​​of healthy space indicators, including:

[0101] S71. Project an oxygen concentration contour map on the 3,600 m2 indoor garden plaza;

[0102] S72. Mark qualified areas for installation of silent and shock-absorbing cushioning on the sports trails directly connected to each household;

[0103] S73. Visualize the structural transformation nodes of a study room that can be converted into a bedroom in a multi-generational living unit.

[0104] Also includes:

[0105] S8. Establish a blockchain-based construction health record, permanently storing:

[0106] S81. Certification report on light refraction performance of glass curtain wall bridge areas;

[0107] S82, plant carbon sink measurement data of three-dimensional oxygen source system;

[0108] S83. Accessibility acceptance records of elderly-friendly facilities in community nursing homes.

[0109] include:

[0110] The health data perception module includes a distributed light sensor matrix, an oxygen concentration monitoring node network, and a BIM space scanning unit to collect 360-degree lighting parameters, three-dimensional oxygen source concentration gradient values, and multi-generational space topology data at the construction site;

[0111] The digital twin modeling module includes an optical simulation engine, a fluid dynamics calculation unit, and a spatial fitness analyzer, and builds a construction dynamic model that includes a glass curtain wall bridge model, an oxygen source diffusion path model, and a variable spatial structure;

[0112] The construction optimization decision module includes a lighting uniformity diagnosis unit, an oxygen source blind spot locator, and a functional space defect detector. It generates a construction health defect diagnosis report and drives the parametric design engine for process optimization.

[0113] The blockchain control platform includes a process feasibility verification unit, a dynamic instruction generator, a health acceptance standard library, and outputs instructions for updating the bill of materials and adjusting the process timing.

[0114] The intelligent construction execution module, including the IoT tower crane system, modular construction robots, and BIM-5D monitoring terminals, executes the control of the healthy space construction process.

[0115] Example 1: Dynamic monitoring and correction of healthy space during mid-construction period

[0116] During the construction phase of the indoor garden plaza of a five-story residential building, the system activated the health monitoring terminal to track the layout of the three-dimensional oxygen source system in real time:

[0117] 1. When construction reached the third floor, the distributed oxygen concentration sensor network detected that the oxygen concentration gradient value in the southeast corner continued to be lower than the medical standard threshold, and the digital twin model simultaneously marked the 8.5m 2 The oxygen source covers the blind area;

[0118] 2. The construction positioning team immediately analyzed the cause of the blind spot. On-site scanning revealed that the installation angle of the vertical green wall's load-bearing bracket deviated by 5.3° from the design value, resulting in insufficient green plant density and a gap in oxygen circulation.

[0119] 3. The system's linked parametric engine recalculates the support structure parameters and generates a construction instruction set that includes additional instructions for root-penetration-resistant substrates and support angle correction vectors;

[0120] 4. After receiving the instructions, the modular construction robot completed the planting of 12 additional ivy plants and the calibration of the bracket inclination within 24 hours. The digital twin model verified that the oxygen concentration gradient had returned to the healthy value range of 21%.

[0121] Example 2: Multifunctional Zone Health Parameters Staged Verification during the Acceptance Phase

[0122] During the acceptance inspection of the composite functional area of ​​a community nursing home and childcare center, the zoning adapter performs a grading assessment of spatial health performance:

[0123] 1. First, three major testing areas were divided: the private rest area focused on verifying sound insulation performance, the shared activity area monitored lighting uniformity, and the intergenerational interaction space tested barrier-free passage width;

[0124] 2. When detecting the second-floor care unit for disabled elderly people, the system discovered through laser scanning that the folding joints of the deformable partition wall were misaligned by 7mm, causing the track to become stuck when switching from the study to the bedroom function;

[0125] 3. Based on a multi-generational spatial adaptability algorithm, the system outputs a segmented adjustment plan: prestressing the deformed track to correct it and adding anti-pinch buffer strips in the transition zone;

[0126] 4. The entire acceptance process is visualized through augmented reality equipment: orange marks acoustic weak points, green marks oxygen flux compliance areas, and red warns of height difference risk points on the trail. Ultimately, a blockchain construction file is generated to record 28 health indicator certification data.

[0127] Example 3 Dynamic Optimization of Variable Space Conversion Nodes

[0128] During the final stages of construction on the top-floor multi-generational unit, the system triggered the health monitoring terminal to conduct a special verification of the conversion structure of the study into a bedroom:

[0129] 1. The infrared thermal imaging array detected a 0.8°C temperature anomaly when the folding partition wall was closed. The digital twin model interpreted this as excessive thermal conductivity of the metal guide rails, causing a localized thermal bridge effect.

[0130] 2. The construction positioning end immediately initiated structural simulation: Calculations showed that the guide rail installation angle deviation caused the closed gap to increase by 3.7mm, allowing cold air to penetrate and cause thermal comfort defects.

[0131] 3. The parametric engine generates three levels of correction instructions: ① Replace the aluminum alloy guide rails with thermal insulation profiles; ② Add airtight rubber strips to the sliding nodes; ③ Adjust the avoidance paths of electromechanical pipelines;

[0132] 4. The modular robotic arm completed guide rail replacement and airtight compensation within 48 hours. During acceptance, a laser rangefinder verified that the closed gap was compressed to within 0.5mm, and the temperature field uniformity was improved by 92%, meeting the health standards for winter heating for the elderly.

[0133] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0134] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A residential construction process analysis method based on the concept of personalized residential design, characterized by: include: S1. Real-time collection of environmental health data, structural construction data, and ecological facility data from the construction site through a multi-source sensor network, including: light intensity distribution values ​​for the 360-degree lighting area, oxygen concentration gradient values ​​for the three-dimensional oxygen source system, and spatial topology parameters of the exercise trails directly connected to each household; S2. Build a dynamic digital twin model of construction, mapping the collected data into healthy space indicators in the virtual construction scene, including: light refraction efficiency parameters of glass curtain wall bridge areas, oxygen source diffusion efficiency values ​​of indoor garden squares, and spatial adaptability parameters of multi-generational units; S3. Analyze healthy space indicators based on artificial intelligence algorithms and generate a construction health defect diagnosis report when it detects that the local illumination value is lower than the preset threshold, the oxygen source concentration does not meet the standard value, and the functional space connectivity path does not meet the design requirements; S4. Drive the parametric engine based on the diagnostic report to dynamically optimize the glass curtain wall bridging angle to improve lighting uniformity, adjust the layout of the vertical green wall in the indoor garden square to eliminate oxygen blind spots, and reconstruct the connection nodes of the sports trail to ensure barrier-free access. S5. Verify the structural safety and ecological efficiency of the optimized solution through the digital management platform, and generate a construction control instruction set that includes material specification update instructions and process adjustment sequence; S6. Execute the control instruction set to regulate the on-site construction process and synchronously update the digital twin model until all health indicators meet the standards.

2. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: Said S1 comprises: S11. Use a distributed light sensor matrix to collect light intensity distribution values ​​at all directions on the building surface, and use a laser scanner to obtain light refraction path data in the glass curtain wall bridge area between households; S12. Deploy an oxygen concentration monitoring node network to obtain real-time oxygen source concentration gradient values ​​for the 3,600 m2 indoor garden plaza and the 90 m2 household garden. S13. Use BIM modeling equipment to extract community functional space layout data including the 280m circular sports trail topology and the spatial coupling relationship between the nursing home and the daycare center.

3. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: The S2 includes: S21, importing the light refraction path data into an optical simulation engine to calculate the reflection / refraction efficiency parameters of the glass curtain wall bridge area in the full-dimensional lighting model; S22. Simulate the oxygen diffusion path within the three-dimensional oxygen source system based on a computational fluid dynamics algorithm to generate oxygen source efficiency parameters including the optimal plant configuration density and the ventilation system coupling coefficient; S23. Use a spatial topology analysis algorithm to verify the spatial permeability of independent study rooms and shared gardens in multi-generational units, and output the adaptability parameters of spaces suitable for both the elderly and children.

4. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: The S3 includes: S31. When the illuminance value of a local area in the 360° lighting simulation parameters is lower than 1000 lux, mark it as a lighting uniformity deviation area and record the three-dimensional coordinates; S32, identifying a spatial region where the oxygen concentration is lower than 21% in the three-dimensional oxygen source efficiency parameter, and generating a coordinate set of an oxygen source coverage blind area; S33. When the width of the connecting path between the private space and the shared garden in the multi-generational adaptability parameter is less than 2m, a functional space adaptability defect list is generated.

5. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: The S4 includes: S41. Dynamically adjust the glass curtain wall bridging angle according to the lighting uniformity deviation value. The optimization formula is: Where θ represents the optimized glass curtain wall bridging angle, n1 represents the refractive index of air, n2 represents the refractive index of glass, ΔL represents the deviation between the measured illuminance and the target illuminance, and L0 represents the standard illuminance threshold.

6. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: The S5 includes: S51. Verify the structural safety of the optimized glass curtain wall bridging angle; S52. Generate a material list update command for the newly added vertical green wall of the three-dimensional oxygen source system and perform structural stability verification: where σ max Indicates the maximum stress value of the vertical green wall base, F g represents the vegetation gravity load per unit area, H represents the height of the vertical green wall, θ represents the installation angle, A c Indicates the cross-sectional area of ​​a single load-bearing support, M w represents the wind load bending moment, y represents the distance from the neutral axis of the section to the edge, I z represents the moment of inertia of the cross section of the load-bearing bracket; When σ max When it is greater than 0.8, the load-bearing bracket specification upgrade instruction is automatically triggered, f y is the yield strength of steel; S53. Develop a timeline for acceptance standards for healthy spaces, including pre-buried smoke exhaust ducts in community canteens.

7. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: The S6 includes: S61. Execute the material list update command through the IoT tower crane system to accurately deliver ETFE membrane materials with a light transmittance greater than 90% to the glass curtain wall bridge area; S62. Use modular construction robots to install vertical green walls with three-dimensional oxygen source systems, ensuring that they can support more than 6 plants per square meter; S63. The EPDM rubber surface layer can only be laid after the compaction degree of the sports trail base reaches 95% based on the BIM-5D platform monitoring.

8. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: Also includes: S7. During the construction acceptance phase, augmented reality equipment is used to overlay the measured values ​​of healthy space indicators, including: S71. Project an oxygen concentration contour map on the 3,600 m2 indoor garden plaza; S72. Mark qualified areas for installation of silent and shock-absorbing cushioning on the sports trails directly connected to each household; S73. Visualize the structural transformation nodes of a study room that can be converted into a bedroom in a multi-generational living unit.

9. The residential construction process analysis method based on the personalized residential design concept according to claim 1 is characterized by: Also includes: S8. Establish a blockchain-based construction health record, permanently storing: S81. Certification report on light refraction performance of glass curtain wall bridge areas; S82, plant carbon sink measurement data of three-dimensional oxygen source system; S83. Accessibility acceptance records of elderly-friendly facilities in community nursing homes.

10. A health-oriented residential construction process analysis system implementing the method according to any one of claims 1 to 9, characterized in that: include: The health data perception module includes a distributed light sensor matrix, an oxygen concentration monitoring node network, and a BIM space scanning unit to collect 360-degree lighting parameters, three-dimensional oxygen source concentration gradient values, and multi-generational space topology data at the construction site; The digital twin modeling module includes an optical simulation engine, a fluid dynamics calculation unit, and a spatial fitness analyzer, and builds a construction dynamic model that includes a glass curtain wall bridge model, an oxygen source diffusion path model, and a variable spatial structure; The construction optimization decision module includes a lighting uniformity diagnosis unit, an oxygen source blind spot locator, and a functional space defect detector. It generates a construction health defect diagnosis report and drives the parametric design engine for process optimization. The blockchain control platform includes a process feasibility verification unit, a dynamic instruction generator, a health acceptance standard library, and outputs instructions for updating the bill of materials and adjusting the process timing. The intelligent construction execution module, including the IoT tower crane system, modular construction robots, and BIM-5D monitoring terminals, executes the control of the healthy space construction process.

Images