A glass curtain wall full life cycle management method and system

Abstract

The present invention relates to the field of construction engineering technology, and in particular to a method and system for managing the entire life cycle of a glass curtain wall. The method comprises the following steps: acquiring building exterior wall data, and extracting building exterior wall dimension features based on the building exterior wall data, thereby obtaining building exterior wall dimension data; designing the installation position of a framed glass curtain wall based on the building exterior wall dimension data, thereby obtaining framed glass curtain wall installation position data; acquiring framed glass curtain wall design data and framed glass curtain wall support structure data, and extracting glass material tensile strength features and glass material compressive strength features based on the framed glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data. The present invention completes the entire life cycle management of glass curtain walls based on construction engineering technology, and realizes efficient collaboration and data sharing at each life cycle stage.

Description

Technical Field

[0001] The present invention relates to the technical field of building engineering, and in particular to a full life cycle management method and system for a glass curtain wall. Background Art

[0002] The traditional management method of the entire life cycle of glass curtain walls mainly relies on manual inspection and regular maintenance, and fails to make full use of modern technical means for intelligent management, and has many limitations. Due to the lack of accumulation and analysis of long-term performance data of curtain walls, the performance changes of glass curtain walls during their service life cannot be continuously and accurately recorded and evaluated, and their service life and structural problems cannot be effectively predicted. It is impossible to scientifically evaluate the overall health of the curtain wall, nor can it optimize future design, manufacturing and installation processes through data. The lack of systematic full life cycle management cannot effectively cover the entire process from glass curtain wall design, installation, use, maintenance to final scrapping. Between the various life cycle stages, information cannot be shared and coordinated, resulting in fragmented management of each stage and the failure to form an effective closed-loop feedback mechanism. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a glass curtain wall full life cycle management method to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a glass curtain wall full life cycle management method includes the following steps:

[0005] Step S1: Acquire building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; design the installation position of the framed glass curtain wall based on the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall;

[0006] Step S2: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data; performing support inspection and analysis on the frame-type glass curtain wall support structure data according to the glass material tensile strength data and the glass material compressive strength data, thereby obtaining frame-type glass curtain wall support inspection data;

[0007] Step S3: performing wind resistance analysis on the frame type glass curtain wall support structure data according to the frame type glass curtain wall installation position data and the frame type glass curtain wall support inspection data, thereby obtaining the frame type glass curtain wall support structure wind resistance data;

[0008] Step S4: performing water tightness analysis of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the framed glass curtain wall support inspection data, thereby obtaining water tightness data of the framed glass curtain wall; performing service life evaluation of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, thereby obtaining service life data of the framed glass curtain wall;

[0009] Step S5: Obtain the historical maintenance data of the framed glass curtain wall, and optimize the full life cycle management based on the service life data of the framed glass curtain wall and the historical maintenance data of the framed glass curtain wall, so as to obtain the full life cycle management data of the framed glass curtain wall, and upload it to the building management platform to execute the full life cycle management tasks of the framed glass curtain wall.

[0010] The present invention obtains the building exterior wall data and extracts the exterior wall size features, thereby ensuring the accuracy of the curtain wall design. By automatically calculating the exterior wall size, the errors in manual measurement and data processing are reduced. The curtain wall installation position design based on the exterior wall size effectively improves the construction efficiency and reduces installation errors. By extracting the tensile strength and compressive strength characteristics of the glass material and combining the inspection and analysis of the supporting structure, the reliability and bearing capacity of the curtain wall structure are ensured. Through the support inspection and analysis, potential problems in the supporting structure can be identified to prevent the occurrence of structural failure. By optimizing the use of glass materials, the durability and anti-destruction of the curtain wall are ensured, and the later maintenance and replacement costs are effectively reduced. The wind resistance analysis combines the installation position of the curtain wall with the support inspection data, and can effectively simulate the stress conditions of the curtain wall under different wind conditions. By combining the wind resistance data with the support inspection data to perform watertightness analysis, the sealing performance of the curtain wall in rain and high humidity environments is ensured. This analysis can predict the risk of water seepage in the curtain wall and ensure the dryness and safety of the interior of the building. By obtaining historical maintenance data and combining it with service life assessment results, the management system is able to monitor the status of the curtain wall and intelligently optimize the maintenance plan based on historical data. The full life cycle management data is uploaded to the building management platform, achieving efficient collaboration and data sharing at each life cycle stage.

[0011] Optionally, step S2 specifically includes:

[0012] Step S21: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data;

[0013] Step S22: extracting connection mode features and support size features according to the frame-type glass curtain wall support structure data, thereby obtaining frame-type glass curtain wall connection mode data and frame-type glass curtain wall support size data;

[0014] Step S23: constructing a three-dimensional model of the frame type glass curtain wall support according to the frame type glass curtain wall connection mode data and the frame type glass curtain wall support size data, thereby obtaining a three-dimensional model of the frame type glass curtain wall support;

[0015] Step S24: performing a tensile stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the tensile strength data of the glass material, thereby obtaining tensile stress data of the support structure;

[0016] Step S25: performing compressive stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the compressive strength data of the glass material, thereby obtaining compressive stress data of the support structure;

[0017] Step S26: merging the frame type glass curtain wall support structure according to the support structure tensile stress data and the support structure compressive stress data, thereby obtaining the frame type glass curtain wall support inspection data.

[0018] The present invention obtains the design data and supporting structure data of the frame-type glass curtain wall, extracts the tensile strength and compressive strength characteristics of the glass material, ensures the safety and reliability of the curtain wall during use, reduces the risk of material failure through accurate material property data, and thus reduces the cost of maintenance and replacement. The connection mode and supporting size characteristics are extracted through the supporting structure data, and the connection mode and size characteristics are accurately extracted, so that the supporting structure can effectively distribute the load. Through three-dimensional modeling, designers can more clearly understand the shape and mechanical properties of the supporting structure, and reduce the error in the design. The tensile stress analysis is performed on the supporting three-dimensional model, and the stress state of the supporting structure under tension is calculated based on the tensile strength data of the glass material, so that potential local overload problems can be identified, and it is ensured that the supporting structure can safely withstand the tensile force in actual use, thereby improving the durability and reliability of the building. According to the compressive strength data of the glass material, the compressive stress analysis is performed on the supporting three-dimensional model, and the stress data of the supporting structure under compression is obtained. Through the compressive stress analysis, structural weaknesses can be discovered in advance, the stability of the supporting structure under compression is ensured, and the risk of problems occurring later is reduced. Through systematic data integration, the performance of the supporting structure can be comprehensively evaluated to ensure its reliability and safety in practical applications, thereby improving the scientificity and effectiveness of full life cycle management.

[0019] Optionally, step S24 is specifically:

[0020] Step S241: performing tensile strength data statistics according to the tensile strength data of the glass material, so as to obtain maximum tensile strength data;

[0021] Step S242: Obtain wind load data of framed glass curtain wall;

[0022] Step S243: performing mesh division of the framed glass curtain wall according to the framed glass curtain wall support three-dimensional model, thereby obtaining mesh data of the framed glass curtain wall;

[0023] Step S244: extracting grid area features of connection points of the frame type glass curtain wall structure according to the grid data of the frame type glass curtain wall, thereby obtaining grid area data of connection points of the frame type glass curtain wall structure;

[0024] Step S245: performing stress distribution calculation on the grid area data of the frame type glass curtain wall structure connection points according to the wind load data of the frame type glass curtain wall, thereby obtaining stress distribution data of the frame type glass curtain wall;

[0025] Step S246: generating a compressive stress distribution diagram according to the stress distribution data of the frame-type glass curtain wall, thereby obtaining a compressive stress distribution diagram;

[0026] Step S247: performing compressive strength comparison on the compressive stress distribution diagram according to the maximum tensile strength data, thereby obtaining glass compressive limit area distribution data;

[0027] Step S248: Simulate the tensile stress of the support structure of the three-dimensional model of the frame-type glass curtain wall support according to the glass compressive limit area distribution data, so as to obtain the tensile stress data of the support structure.

[0028] The present invention obtains the maximum tensile strength data by statistically analyzing the tensile strength data of the glass material, which can ensure that the designer fully understands its bearing capacity when selecting the material and reduce the risk of potential safety hazards during use. Obtaining the wind load data of the frame-type glass curtain wall is an important link in structural design, which can help the design team consider the impact of different wind speeds and climatic conditions on the curtain wall during the design stage, and ensure the stability and safety of the curtain wall under extreme weather conditions. The three-dimensional model supported by the frame-type glass curtain wall is meshed to make the complex structural analysis more manageable. The stress distribution of the connection point can be clarified by extracting the grid area features of the connection point through the grid data, and corresponding measures can be taken to optimize, enhance the strength of the connection point, and improve the safety of the overall structure. The distribution calculation of the stress of the structural connection point according to the wind load data is helpful to timely discover the problems in the design, thereby improving the reliability of the structure. The compressive stress distribution diagram is generated, and the stress distribution under different load conditions can be intuitively understood. By comparing the compressive stress distribution diagram with the maximum tensile strength data, it is possible to identify which areas have stresses exceeding the compressive limit of the material, ensuring that all connection points can be kept within a safe range during use, and reducing the frequency and cost of maintenance and replacement. According to the data of the compressive limit area distribution, the tensile stress of the support three-dimensional model is simulated, and then the design scheme is optimized to improve the durability and reliability of the structure.

[0029] Optionally, step S25 is specifically:

[0030] Step S251: performing compressive strength data statistics according to the compressive strength data of the glass material, so as to obtain maximum compressive strength data;

[0031] Step S252: Obtaining weight data of the framed glass curtain wall;

[0032] Step S253: extracting point support connection features according to the frame-type glass curtain wall support three-dimensional model, thereby obtaining point support connection data;

[0033] Step S254: performing point support deformation analysis on the point support connection data according to the weight data of the frame-type glass curtain wall, thereby obtaining point support deformation data;

[0034] Step S255: comparing the point support deformation data with the glass compressive ultimate strength according to the maximum compressive strength data, thereby obtaining the glass compressive ultimate strength data of the point support area;

[0035] Step S256: Design redundant support according to the compressive ultimate strength data of the glass in the point support area, thereby obtaining redundant support data;

[0036] Step S257: Calculate the support structure compressive stress of the frame-type glass curtain wall support three-dimensional model according to the redundant support data, so as to obtain the support structure compressive stress data.

[0037] The present invention obtains the maximum compressive strength data by statistics of the compressive strength data of glass materials, so that designers can understand the performance of materials more accurately, so as to consider the potential structural risks in the early stage of design and improve the overall safety. By obtaining the weight data of the frame-type glass curtain wall, it is possible to provide necessary information for subsequent mechanical analysis and structural design, and ensure that the design of the supporting structure can meet the safety standards. Point support connection feature extraction is performed on the three-dimensional model of the frame-type glass curtain wall support, so that the understanding of the supporting structure is more comprehensive and the overall stability of the structure is improved. Using weight data to perform deformation analysis on the point support connection can identify deformation problems that occur in actual use. This ability to identify deformation early helps to adjust the design in time during actual construction and use to avoid potential safety hazards. By comparing the point support deformation data with the maximum compressive strength data, it is possible to identify which areas of glass exceed the compressive limit, and ensure the safety performance of the curtain wall in various environments. Redundant support design based on the compressive limit strength data can add additional support to key connection points, thereby enhancing the stability of the structure. Compressive stress calculation of the supporting structure based on the redundant support data can comprehensively evaluate the safety of the entire supporting structure and ensure the stability and safety of the glass curtain wall in actual use.

[0038] Optionally, step S254 is specifically:

[0039] Applying gravity load to point support connection data according to weight data of frame type glass curtain wall, thereby obtaining gravity load data of frame type glass curtain wall;

[0040] The point support quantity is counted according to the point support connection data, thereby obtaining the point support quantity data;

[0041] Load distribution is performed according to the gravity load data of the frame-type glass curtain wall and the point support quantity data, thereby obtaining the point support load data;

[0042] Obtain support point span data and glass thickness data;

[0043] The section inertia moment is calculated according to the support point span data and the glass thickness data, thereby obtaining the section inertia moment data;

[0044] The point support deformation is calculated based on the point support load data and the section inertia moment data, thereby obtaining the point support deformation data.

[0045] The present invention can obtain gravity load data by applying the weight data of the frame-type glass curtain wall to the point support connection. This process can accurately reflect the actual use conditions. By applying the gravity load, the stress conditions of different parts can be evaluated, thereby improving the structural safety. By counting the number of point support connections, the distribution of each support point can be clarified, ensuring that the configuration of the support point is fully considered in the design, and ensuring the stability and safety of the curtain wall in actual use. The gravity load data is combined with the point support quantity data to distribute the load, ensuring that each support point can withstand a reasonable load, preventing structural failure caused by local overload, and reducing material costs through reasonable load distribution. By obtaining the support point span data and glass thickness data, the overall design can be analyzed more deeply. The section moment of inertia is calculated according to the support point span and glass thickness, and the section moment of inertia data can be obtained, which is very important for evaluating the stiffness and stability of the glass curtain wall under no load. By reasonably designing the cross section, the bending resistance of the structure can be significantly improved and the deformation risk can be reduced. The deformation calculation is performed by combining the point support load data and the section inertia moment data to obtain the point support deformation data, which can identify potential structural problems, provide early warnings and make corresponding design adjustments.

[0046] Optionally, step S256 is specifically:

[0047] The safety factor of glass material strength is set according to the maximum compressive strength data and the maximum tensile strength data, thereby obtaining the safety factor of glass material strength;

[0048] According to the safety factor data of glass material strength, the risk of the glass compressive strength data of the point support area is determined, and the glass compressive strength data of the high-risk point support area is obtained;

[0049] According to the point support deformation data, the deformation range of the glass compression data in the high-risk point support area is counted, so as to obtain the large deformation data of the high-risk point support area;

[0050] Draw a deformation distribution visualization map based on the large deformation data of the high-risk point support area, so as to obtain a deformation distribution visualization map of the high-risk point support area;

[0051] Mark the locations of points where deformation exceeds the standard according to the deformation distribution visualization diagram of the high-risk point support area, so as to obtain the location data of the points where deformation exceeds the standard;

[0052] Redundant support points are designed for the position data of the deformation exceeding the standard point, so as to obtain redundant support data.

[0053] The present invention sets the strength safety factor of the glass material according to the maximum compressive strength and the maximum tensile strength data, thereby ensuring the reliability of the material under various working conditions and avoiding structural failure. By setting a reasonable safety factor, the design risk is effectively controlled and the scientificity and practicality of the design are improved. The strength safety factor data is used to determine the risk of the compressive ultimate strength of the point support area, identify the high-risk area, provide a reference for subsequent maintenance and management, and ensure that potential hidden dangers are discovered in time and preventive measures are taken. By analyzing the deformation data of the point support, the deformation range of the high-risk area is obtained, the potential risk is confirmed, and a basis is provided for structural optimization, ensuring that the support structure will not be excessively deformed when bearing the load and maintaining stability. A deformation distribution visualization diagram is generated according to the large deformation data of the high-risk area, which is convenient for designers to intuitively display the deformation situation and quickly identify the problem area, improve data readability, and make decision-making more efficient. The position of the deformation exceeding the standard point is marked by the visualization diagram, the problem area is accurately located, and rapid response and maintenance are ensured. Redundant support design is performed based on the position data of the deformation exceeding the standard point, and redundant support data is obtained to improve the structural safety and stability, effectively reduce risks, and enhance the durability and safety of the glass curtain wall.

[0054] Optionally, step S4 is specifically:

[0055] Step S41: performing maximum rain simulation according to the wind resistance data of the frame type glass curtain wall support structure and the frame type glass curtain wall support inspection data, thereby obtaining maximum rain simulation data of the frame type glass curtain wall;

[0056] Step S42: Calculating the maximum water pressure according to the maximum rain simulation data of the frame-type glass curtain wall, thereby obtaining the maximum water pressure data;

[0057] Step S43: evaluating the joint sealing performance of the frame-type glass curtain wall support three-dimensional model according to the maximum water pressure data, thereby obtaining joint sealing performance data;

[0058] Step S44: Calculating the water penetration rate according to the maximum rain simulation data of the framed glass curtain wall and the joint sealing data, thereby obtaining water penetration rate data;

[0059] Step S45: obtaining standard permeability data of the framed glass curtain wall, and performing water tightness comparison on the water permeability rate data according to the standard permeability data of the framed glass curtain wall, thereby obtaining water tightness data of the framed glass curtain wall;

[0060] Step S46: evaluating the service life of the frame type glass curtain wall according to the water tightness data of the frame type glass curtain wall and the wind resistance data of the frame type glass curtain wall supporting structure, thereby obtaining the service life data of the frame type glass curtain wall.

[0061] The present invention simulates the maximum rainwater according to the wind resistance and inspection data of the frame-type glass curtain wall support structure, more realistically evaluates the impact of rainwater under extreme weather conditions, and ensures that the curtain wall design can withstand adverse environmental conditions. After obtaining the maximum rainwater simulation data, the maximum water pressure calculation is performed to quantify the pressure impact of rainwater on the curtain wall, which helps to evaluate the sealing of the joints and prevent water penetration from damaging the internal structure. The maximum water pressure data is used to evaluate the sealing of the three-dimensional model, identify joint weaknesses, and ensure the long-term waterproof performance of the curtain wall. The water penetration rate is calculated through the maximum rainwater simulation and sealing data, and potential water damage is accurately identified to design more effective waterproof measures. The penetration rate is compared with the standard penetration data to determine the water tightness of the curtain wall, providing data support for performance evaluation and maintenance optimization. The service life is evaluated based on the water tightness and wind resistance data, the service life of the curtain wall is scientifically predicted, a reasonable maintenance plan is formulated, and the risk of emergencies is reduced.

[0062] Optionally, step S42 is specifically:

[0063] Step S421: extracting maximum rainfall duration data and maximum rainfall intensity data according to the maximum rainfall simulation data of the frame-type glass curtain wall, thereby obtaining maximum rainfall duration data and maximum rainfall intensity data;

[0064] Step S422: Calculate the height of the rain water faucet according to the maximum rainfall duration data and the maximum rainfall intensity data, thereby obtaining the height data of the rain water faucet;

[0065] Step S423: performing curtain wall installation height statistics according to the framed glass curtain wall installation position data, thereby obtaining high-position framed glass curtain wall installation data and low-position framed glass curtain wall installation data;

[0066] Step S424: performing wind speed calculations according to the high-position framed glass curtain wall installation data and the low-position framed glass curtain wall installation data, respectively, so as to obtain the high-position framed glass curtain wall installation wind speed data and the low-position framed glass curtain wall installation wind speed data;

[0067] Step S425: Calculate the maximum water pressure of rainwater on the high-position glass curtain wall according to the rainwater faucet height data and the wind speed data of the high-position framed glass curtain wall installation, so as to obtain the maximum water pressure data of the high-position framed glass curtain wall;

[0068] Step S426: Calculate the maximum water pressure of rainwater on the low-position glass curtain wall according to the rainwater faucet height data and the installation wind speed data of the low-position framed glass curtain wall, so as to obtain the maximum water pressure data of the low-position framed glass curtain wall;

[0069] Step S427: integrating the maximum water pressure of the glass curtain wall according to the maximum water pressure data of the high-position framed glass curtain wall and the maximum water pressure data of the low-position framed glass curtain wall, thereby obtaining the maximum water pressure data.

[0070] The present invention extracts the maximum rainfall duration and intensity data through the maximum rain simulation data, accurately simulates the actual rain conditions, provides a basis for subsequent water pressure calculations, and ensures that the analysis truly reflects the environmental conditions. The height of the rain faucet is calculated through the rainfall duration and intensity data, the drainage capacity of the glass curtain wall is evaluated, and design defects are identified and improved. The high and low position statistics are performed according to the installation position of the curtain wall to provide a basis for the calculation of wind speed and water pressure to ensure the comprehensiveness of the evaluation. The wind speed is calculated for the high and low positions respectively to reveal the impact of the height on the wind pressure and help optimize the design. The maximum water pressure is calculated in combination with the rain faucet height and wind speed data to evaluate the bearing capacity of the high and low position curtain walls in extreme weather and ensure the safety of the curtain walls at different positions. The maximum water pressure data of the high and low positions are integrated to comprehensively evaluate the stress conditions of the curtain wall and provide support for maintenance and design optimization.

[0071] Optionally, step S46 is specifically:

[0072] Step S461: performing joint mold simulation on joint sealing data according to the water tightness data of the frame type glass curtain wall, so as to obtain joint mold data;

[0073] Step S462: performing connection structure damage analysis on point support connection data according to wind resistance data of the frame-type glass curtain wall support structure, thereby obtaining connection structure damage data;

[0074] Step S463: analyzing the damage degree of the glass curtain wall according to the joint mold data and the connection structure damage data, thereby obtaining the damage degree data of the glass curtain wall;

[0075] Step S464: evaluating the service life of the frame type glass curtain wall according to the damage degree data of the glass curtain wall, thereby obtaining service life data of the frame type glass curtain wall.

[0076] The present invention simulates mold in joints through watertightness data, identifies humidity and mold growth risks at joints, evaluates mold growth in different environments, prevents structural damage caused by mold, maintains the aesthetics and performance of the curtain wall, and reduces the maintenance costs caused by mold. Structural damage analysis is performed through point support connection data to evaluate the durability of the supporting structure under external forces, identify weaknesses in advance, take reinforcement measures, reduce accident risks, and optimize daily maintenance plans to extend the service life of the curtain wall. Combined with joint mold data and connection damage data, damage degree analysis is performed to identify high-risk areas, optimize resource allocation, reduce large-scale damage, and improve maintenance efficiency. The service life of the curtain wall is evaluated based on the damage degree data, providing a basis for maintenance strategies and improving the safety and reliability of future designs.

[0077] Optionally, the present specification also provides a glass curtain wall life cycle management system, which is used to execute the glass curtain wall life cycle management method as described above, and the glass curtain wall life cycle management system includes:

[0078] Glass curtain wall installation position design module: used to obtain building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; design the installation position of the framed glass curtain wall based on the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall;

[0079] Glass curtain wall support inspection and analysis module: used to obtain frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extract glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, so as to obtain glass material tensile strength data and glass material compressive strength data; perform support inspection and analysis on the frame-type glass curtain wall support structure data according to the glass material tensile strength data and glass material compressive strength data, so as to obtain frame-type glass curtain wall support inspection data;

[0080] Glass curtain wall support structure wind resistance analysis module: used to perform wind resistance analysis on the frame glass curtain wall support structure data according to the frame glass curtain wall installation position data and the frame glass curtain wall support inspection data, so as to obtain the frame glass curtain wall support structure wind resistance data;

[0081] Glass curtain wall service life analysis module: used to analyze the water tightness of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the inspection data of the framed glass curtain wall support, so as to obtain the water tightness data of the framed glass curtain wall; to evaluate the service life of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, so as to obtain the service life data of the framed glass curtain wall;

[0082] Glass curtain wall life cycle management module: used to obtain the historical maintenance data of framed glass curtain walls, and optimize the full life cycle management based on the service life data of framed glass curtain walls and the historical maintenance data of framed glass curtain walls, so as to obtain the full life cycle management data of framed glass curtain walls and upload it to the building management platform to execute the full life cycle management tasks of framed glass curtain walls.

[0083] A glass curtain wall full life cycle management system of the present invention can implement any glass curtain wall full life cycle management method of the present invention, and is used to combine the operation and signal transmission medium between various modules to complete the glass curtain wall full life cycle management method. The internal modules of the system cooperate with each other to complete the glass curtain wall full life cycle management. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0085] Figure 1 It is a schematic diagram of the steps of the glass curtain wall full life cycle management method of the present invention;

[0086] Figure 2 Detailed step flow diagram of step S2 in the present invention;

[0087] Figure 3 Detailed step flow diagram of step S24 in the present invention;

[0088] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0089] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0090] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0091] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0092] To achieve this, please refer to Figures 1 to 3 The present invention provides a glass curtain wall full life cycle management method, the method comprising the following steps:

[0093] Step S1: Acquire building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; design the installation position of the framed glass curtain wall based on the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall;

[0094] In this embodiment, the three-dimensional data of the building's exterior wall is obtained by a laser scanner, and the obtained point cloud data can be used to accurately describe the geometric shape of the exterior wall. Then, the point cloud data is analyzed by computer vision technology to extract the dimensional features of the building's exterior wall, including height, width, length, etc., to form the building's exterior wall dimensional data. This process requires setting the resolution parameters of the scan, which are usually set to 5mm to ensure the accuracy of the data. Next, based on the dimensional data, the installation position of the frame-type glass curtain wall is designed, and two-dimensional graphics are drawn using CAD software. Taking into account the structural characteristics of the exterior wall and the aesthetics of the building, the installation position data of the frame-type glass curtain wall is finally generated. This data includes the specific installation height, width and deviation tolerance of the curtain wall, and the tolerance is set to ±3mm to ensure construction accuracy.

[0095] Step S2: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data; performing support inspection and analysis on the frame-type glass curtain wall support structure data according to the glass material tensile strength data and the glass material compressive strength data, thereby obtaining frame-type glass curtain wall support inspection data;

[0096] In this embodiment, when obtaining the design data and supporting structure data of the frame-type glass curtain wall, BIM (Building Information Modeling) technology is used to convert the design drawings into analyzable data models. By analyzing the model, the tensile strength and compressive strength of the glass material are extracted. According to the material standards, the tensile strength must reach at least 20MPa and the compressive strength must reach at least 30MPa. Next, the supporting structure is inspected using the finite element analysis method, and the maximum allowable stress is set to 60% of the tensile strength and 70% of the compressive strength of the material. By analyzing the stress distribution of the supporting structure under the design load, the support inspection data of the frame-type glass curtain wall is obtained to determine whether the structure meets the design requirements.

[0097] Step S3: performing wind resistance analysis on the frame type glass curtain wall support structure data according to the frame type glass curtain wall installation position data and the frame type glass curtain wall support inspection data, thereby obtaining the frame type glass curtain wall support structure wind resistance data;

[0098] In this embodiment, the wind resistance analysis of the support structure is performed using the installation position data and support inspection data. CFD (computational fluid dynamics) simulation is used to set the wind speed parameter to 1.5 times the design wind speed for dynamic load analysis. During the analysis, attention should be paid to the deformation and stress concentration of the support structure, and the wind resistance performance indicators of the structure, such as the maximum wind load and safety factor, should be calculated using relevant software. According to the results, the wind resistance performance must meet the design standards, and the wind load should usually be less than 500N / m².

[0099] Step S4: performing water tightness analysis of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the framed glass curtain wall support inspection data, thereby obtaining water tightness data of the framed glass curtain wall; performing service life evaluation of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, thereby obtaining service life data of the framed glass curtain wall;

[0100] In this embodiment, after completing the wind resistance analysis, a water tightness analysis of the frame-type glass curtain wall is performed. Based on the wind resistance data, the sealing performance of the curtain wall is tested using a water tightness test device. The water pressure parameter is set to 0.2MPa and applied continuously for 15 minutes to observe whether leakage occurs. At the same time, combined with the results of the wind resistance analysis, a numerical simulation method is used to evaluate the water tightness performance under extreme climatic conditions. Through these tests, water tightness data is obtained to determine whether it meets the design standards. The standard requires that the water permeability does not exceed 5L / h.m². Subsequently, based on the water tightness data and wind resistance data, a statistical model is used to evaluate the service life of the frame-type glass curtain wall to determine its expected service life under different climatic conditions.

[0101] Step S5: Obtain the historical maintenance data of the framed glass curtain wall, and optimize the full life cycle management based on the service life data of the framed glass curtain wall and the historical maintenance data of the framed glass curtain wall, so as to obtain the full life cycle management data of the framed glass curtain wall, and upload it to the building management platform to execute the full life cycle management tasks of the framed glass curtain wall.

[0102] In this embodiment, historical maintenance data of the framed glass curtain wall is obtained, including maintenance records, maintenance frequency, historical fault data, etc. These data can be summarized and analyzed through the building management system. The historical maintenance data is combined with the service life data, and the data mining technology is used to optimize the full life cycle management, and the maintenance cycle is set. Usually, the maintenance cycle is set every 3 years based on the frequency of use and environmental impact. Through analysis, the full life cycle management data of the framed glass curtain wall is formed, and the results are uploaded to the building management platform. This platform monitors the status of the curtain wall in real time and performs full life cycle management tasks to ensure the safety and efficiency of the building.

[0103] Optionally, step S2 specifically includes:

[0104] Step S21: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data;

[0105] In this embodiment, the frame-type glass curtain wall design data and supporting structure data are obtained through the model file generated by the building information model (BIM) software. These data include the thickness, size, material type, etc. of the glass curtain wall, as well as the type, layout, size, etc. of the supporting structure. On this basis, according to the relevant material standards, the tensile strength and compressive strength characteristics of the glass material are extracted. The tensile strength characteristics are obtained through laboratory testing and must meet the ISO 527 standard. The tensile strength must reach at least 20MPa. The compressive strength is determined by compression testing and must reach at least 30MPa. The extracted tensile strength data and compressive strength data of the glass material provide a basis for subsequent analysis.

[0106] Step S22: extracting connection mode features and support size features according to the frame-type glass curtain wall support structure data, thereby obtaining frame-type glass curtain wall connection mode data and frame-type glass curtain wall support size data;

[0107] In this embodiment, connection method feature extraction and support size feature extraction are performed based on the support structure data of the frame-type glass curtain wall. The connection method features are classified by analyzing the connection nodes of the support structure, including welding, bolt connection, etc., and the technical requirements and standards of each connection method are recorded to ensure the stability of the structure. Secondly, the support size features are directly obtained through the design drawings, usually including parameters such as the height, width, and thickness of the support, to ensure that the design of the support meets the wind and earthquake resistance requirements. After extraction, the frame-type glass curtain wall connection method data and support size data are formed to provide necessary information for model construction.

[0108] Step S23: constructing a three-dimensional model of the frame type glass curtain wall support according to the frame type glass curtain wall connection mode data and the frame type glass curtain wall support size data, thereby obtaining a three-dimensional model of the frame type glass curtain wall support;

[0109] In this embodiment, the frame-type glass curtain wall connection mode data and support size data are obtained to construct a support three-dimensional model of the frame-type glass curtain wall. The extracted data is input using CAD modeling software to create the three-dimensional geometric shape of the support structure. The specific parameters include the length, angle and position relationship of the support. The connection mode is represented as a corresponding connection node in the model to ensure that the model can truly reflect the actual construction situation. After the construction is completed, the generated three-dimensional model can be used for subsequent stress analysis to ensure that the model meets the design requirements and specifications.

[0110] Step S24: performing a tensile stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the tensile strength data of the glass material, thereby obtaining tensile stress data of the support structure;

[0111] In this embodiment, the tensile stress analysis of the three-dimensional model of the frame-type glass curtain wall support is performed based on the tensile strength data of the glass material. Finite element analysis (FEA) software is used to set the loading conditions and boundary conditions to simulate the actual working conditions. The loading conditions need to be set according to the design requirements. For example, the maximum tensile force is set to 10kN, and the loading is performed step by step to observe the deformation of the supporting structure under tensile stress. The tensile stress value of each supporting node is calculated to ensure that it does not exceed 60% of the tensile strength, so as to obtain the tensile stress data of the supporting structure and provide a basis for subsequent evaluation.

[0112] Step S25: performing compressive stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the compressive strength data of the glass material, thereby obtaining compressive stress data of the support structure;

[0113] In this embodiment, the compressive stress analysis of the frame-type glass curtain wall support three-dimensional model is performed based on the compressive strength data of the glass material. The finite element analysis (FEA) software is used again to apply a compressive load to the model, and the maximum compressive force is set to 15kN for dynamic analysis. The compressive stress changes of each support point are recorded to ensure that the compressive stress does not exceed 70% of the compressive strength. Through this process, the compressive stress data of the support structure is obtained to evaluate the stability and safety of the support structure under various working conditions.

[0114] Step S26: merging the frame type glass curtain wall support structure according to the support structure tensile stress data and the support structure compressive stress data, thereby obtaining the frame type glass curtain wall support inspection data.

[0115] In this embodiment, the frame-type glass curtain wall support structure is merged according to the tensile stress data and compressive stress data of the support structure to form the frame-type glass curtain wall support inspection data. The tensile stress data and the compressive stress data are integrated by using data analysis software to generate a stress distribution diagram, which visualizes the stress state under different working conditions. By setting the merging standard, the safety of the support structure is judged to ensure that all stress values ​​are within the design allowable range. The support inspection data obtained after merging provides an important reference for subsequent construction and maintenance, ensuring the reliability and safety of the glass curtain wall system.

[0116] Optionally, step S24 is specifically:

[0117] Step S241: performing tensile strength data statistics according to the tensile strength data of the glass material, so as to obtain maximum tensile strength data;

[0118] In this embodiment, data statistics are performed based on the tensile strength data of the glass material to ensure the breadth and representativeness of the data source. The tensile strength data is obtained through actual testing. The test uses a standard tensile testing machine to perform tensile failure tests on glass samples of different thicknesses, sizes and types in a laboratory environment. During the test, each sample uses a sensor to accurately record the maximum stress value when it is broken. After the test is completed, the tensile strength data of all samples are input into a data processing system (such as a statistical toolkit in MATLAB or Python) for data analysis, specifically including: calculating statistical indicators such as maximum value, average value, variance, etc. The formula used is:

[0119] ;

[0120] in, is the tensile strength, F is the maximum tensile force, and A is the cross-sectional area of ​​the glass material. The tensile strength of each sample is determined by this calculation formula, and the maximum tensile strength data is used in subsequent operations to ensure that the support structure design and stress analysis are based on the most reliable limit conditions.

[0121] Step S242: Obtain wind load data of framed glass curtain wall;

[0122] In this embodiment, to obtain the wind load data of the framed glass curtain wall, it is first necessary to analyze the specific geographical environment, building height and meteorological conditions of the building. The wind load data can be obtained through wind tunnel tests or wind load formula calculations. For wind load analysis in actual projects, the wind load can be calculated specifically by the following formula:

[0123] ;

[0124] in, is the wind load, is the air density (usually 1.225 kg / m³), V is the wind speed in the area where the building is located (can be obtained through meteorological data), is the wind pressure coefficient (according to the shape of the building and the wind direction), and A is the windward area of ​​the glass curtain wall. The wind load data can be calculated by this formula for subsequent structural stress analysis. The accuracy of wind load data is crucial to the safety of the structure, so multiple calculations and verifications are required.

[0125] Step S243: performing mesh division of the framed glass curtain wall according to the framed glass curtain wall support three-dimensional model, thereby obtaining mesh data of the framed glass curtain wall;

[0126] In this embodiment, meshing is performed based on the constructed three-dimensional model of the frame-type glass curtain wall support. The three-dimensional model needs to be imported into finite element analysis software (such as ANSYS or ABAQUS). According to the complexity of the structure and the analysis requirements, an appropriate meshing method is selected. Commonly used mesh unit types include tetrahedral units or hexahedral units. In order to improve the calculation accuracy, meshing needs to be targeted at the important stress-bearing parts of the curtain wall structure, especially using denser meshes near the support connection points. The basic principle of meshing is to ensure that the size of the mesh unit can capture the key stress distribution area in the curtain wall structure. Usually the size range of the mesh unit is set between 1 cm and 5 cm. After the division is completed, the mesh quality check function of the software is used to detect and correct the deformed mesh to ensure that the generated mesh data can effectively support the calculation in subsequent analysis.

[0127] Step S244: extracting grid area features of connection points of the frame type glass curtain wall structure according to the grid data of the frame type glass curtain wall, thereby obtaining grid area data of connection points of the frame type glass curtain wall structure;

[0128] In this embodiment, based on the generated frame-type glass curtain wall grid data, feature extraction is performed on the connection point grid area. In the finite element analysis software, the structural connection points of each part of the curtain wall are clearly defined, and the connection points are usually located between the glass and the supporting structure. Through the built-in area selection function of the software, based on the previously divided grid, the grid cells within a certain range around the connection point are screened and extracted, and defined as the "connection point grid area". The extracted features include the geometric position of the connection point, the node number, the stress concentration of the adjacent grid cells, etc. The extracted grid area data will be recorded in the database to provide accurate data support for subsequent stress distribution calculations.

[0129] Step S245: performing stress distribution calculation on the grid area data of the frame type glass curtain wall structure connection points according to the wind load data of the frame type glass curtain wall, thereby obtaining stress distribution data of the frame type glass curtain wall;

[0130] In this embodiment, the stress distribution calculation is performed on the grid area of ​​the structural connection point according to the wind load data. The wind load is applied to the frame glass curtain wall model as an external force, and the corresponding load boundary conditions and application direction are defined in the finite element analysis software. By simulating the wind pressure effect at different heights and wind directions of the building, the wind load data is gradually loaded. The software calculates the stress distribution according to the characteristics of the grid area, and obtains the principal stress, shear stress and its direction of each grid unit. The stress distribution results are output in the form of a color distribution map or a data file, showing the stress concentration area, especially the stress change of the connection point. These stress distribution data are an important basis for subsequent analysis.

[0131] Step S246: generating a compressive stress distribution diagram according to the stress distribution data of the frame-type glass curtain wall, thereby obtaining a compressive stress distribution diagram;

[0132] In this embodiment, a compressive stress distribution map is generated based on the stress distribution data. It is generated through the visualization module of the finite element software, and the numerical distribution of stress is represented in the form of a color gradient. Usually, red represents high stress areas and blue represents low stress areas. In order to more accurately display the stress state of the structure under wind loads, the compressive stress concentration areas near the curtain wall support connection points should be highlighted during generation. By adjusting the resolution and display range of the image, the stress conditions at key locations can be clearly seen. The compressive stress distribution map can be directly exported as a picture or report as a basis for subsequent compressive strength analysis and curtain wall optimization design.

[0133] Step S247: performing compressive strength comparison on the compressive stress distribution diagram according to the maximum tensile strength data, thereby obtaining glass compressive limit area distribution data;

[0134] In this embodiment, the compressive strength is compared with the maximum tensile strength data and the compressive stress distribution map. A safety threshold for compressive strength is set, usually set to 70% to 80% of the maximum tensile strength. Through the comparative analysis tool, each area in the compressive stress distribution map is compared with the compressive strength threshold one by one, with special attention paid to high stress areas that exceed the safety limit. Areas above the threshold will be marked as compressive limit areas. The distribution data of the limit area will be generated by the analysis tool and exported as a table or image for designers to use. It can help identify potential danger points in curtain wall structures and provide key data support for design optimization.

[0135] Step S248: Simulate the tensile stress of the support structure of the three-dimensional model of the frame-type glass curtain wall support according to the glass compressive limit area distribution data, so as to obtain the tensile stress data of the support structure.

[0136] In this embodiment, according to the distribution data of the glass compressive limit area, the tensile stress of the support structure of the frame glass curtain wall is simulated. The limit area data is imported into the finite element software, the initial conditions and boundary conditions of the tensile stress simulation are set, the magnitude and direction of the tensile stress are loaded, and the support connection points and the support column positions are analyzed in particular. The software automatically calculates and generates a tensile stress distribution diagram of the support structure. The simulation results need to be comprehensively compared with the tensile strength and compressive stress data to ensure that the support structure will not be damaged or deformed under actual stress conditions. The final tensile stress data will serve as an important reference for curtain wall support design and safety assessment.

[0137] Optionally, step S25 is specifically:

[0138] Step S251: performing compressive strength data statistics according to the compressive strength data of the glass material, so as to obtain maximum compressive strength data;

[0139] In this embodiment, the compressive strength data of the glass material are statistically analyzed to obtain the maximum compressive strength data. The compressive strength data of the glass material can be obtained through a standard compression test. During the test, glass material samples of different thicknesses are placed in a compression test instrument, vertical pressure is gradually applied, and the destructive strength of each sample is recorded. By processing these data, the maximum compressive strength is calculated using conventional statistical methods. All experimental data are sorted out, and the average value, range, and standard deviation are calculated to ensure the representativeness of the sample data. Then the maximum value algorithm is used to extract the maximum compressive strength of the glass material, and this value is used for subsequent compression performance analysis. In this process, it is necessary to ensure that all test data meet the standardized test conditions, and the accuracy of data acquisition is required to be within 0.01MPa.

[0140] Step S252: Obtaining weight data of the framed glass curtain wall;

[0141] In this embodiment, the weight data of the glass curtain wall is obtained by calculating the total weight of the framed glass curtain wall. According to the design drawings of the curtain wall, the size data (length, width, thickness) and material density (the density of glass is generally 2500 kg / m³) of each glass plate are obtained. The weight of a single piece of glass is calculated using the formula W=A×t×ρ, where A is the area, t is the thickness, and ρ is the density. Then, the weight of all glass plates is added together to calculate the total weight of the entire glass curtain wall. In order to improve the calculation accuracy, the weight of the metal frame part of the glass curtain wall needs to be calculated separately and combined with the weight of the glass plate to form complete weight data. These data will be used in subsequent deformation and compressive stress analysis.

[0142] Step S253: extracting point support connection features according to the frame-type glass curtain wall support three-dimensional model, thereby obtaining point support connection data;

[0143] In this embodiment, the characteristic data of the point support connection is extracted through the support three-dimensional model. The support model of the frame-type glass curtain wall is constructed using three-dimensional design software (such as AutoCAD or Revit), and the position, quantity, and material properties of all point support connections are accurately modeled. The extracted data includes the geometric characteristics of the point support connection (such as the size of the connector, the specific coordinates of the connection point) and the mechanical properties parameters of the connection material (such as shear strength, yield strength, etc.). By using finite element analysis software (such as ANSYS), the stress conditions of the support connection points are simulated, and the stress distribution characteristics and displacement conditions of each connection point are extracted. These data provide a basis for subsequent deformation analysis to ensure that the force calculation at the point support connection is accurate.

[0144] Step S254: performing point support deformation analysis on the point support connection data according to the weight data of the frame-type glass curtain wall, thereby obtaining point support deformation data;

[0145] In this embodiment, the deformation analysis of the point support connection is performed according to the weight data of the frame-type glass curtain wall. The total weight data of the curtain wall is input into the finite element analysis software (such as ABAQUS) as the loading condition. By setting the mechanical boundary conditions (such as the position of the fixed point, the degree of freedom restriction, etc.), the deformation of the glass curtain wall under the action of its own weight is simulated, especially the stress and displacement at the point support connection. The focus of the deformation analysis is to calculate the deformation value of each support point under the weight of the glass, including the displacement of the support, the angle of rotation, and the degree of deformation of the local stress concentration area. The analysis results are output as the deformation amount and force distribution data of the point support, and error verification is performed in combination with the standard mechanical theory to ensure the accuracy of the deformation calculation results.

[0146] Step S255: comparing the point support deformation data with the glass compressive ultimate strength according to the maximum compressive strength data, thereby obtaining the glass compressive ultimate strength data of the point support area;

[0147] In this embodiment, the maximum compressive strength data is compared with the deformation data of the point support connection to obtain the data of the glass compressive limit strength area. The deformation data is converted into stress values ​​using the stress calculation module of the finite element analysis, and these stress values ​​are compared with the maximum compressive strength value. During the comparison process, the stress concentration area at the point support connection is analyzed in detail, and the compressive stress value of the area is calculated to determine whether it exceeds the maximum compressive strength of the glass. If the stress exceeds the limit, the area is recorded as the glass compressive limit area. The analysis results are presented in the form of a stress distribution diagram, marking the risk areas that exceed the compressive limit to ensure that sufficient data support is provided for subsequent designs.

[0148] Step S256: Design redundant support according to the compressive ultimate strength data of the glass in the point support area, thereby obtaining redundant support data;

[0149] In this embodiment, a redundant support structure is designed based on the analysis results of the compressive limit area of ​​the glass. The distribution of high stress concentration points is determined by analyzing the compressive limit area, and redundant supports are designed based on this information. The design requirements of redundant supports take into account the rationality of load distribution, material strength and installation position. Using the optimization design module of the finite element analysis software, additional support points are set for specific areas, or the size and material of existing support points are adjusted to disperse the pressure in high stress areas and reduce local compressive stress. The data of redundant supports include the number, location and material properties of support points. During the design process, it is necessary to ensure that the redundant supports can meet the requirements of structural safety and will not affect the beauty and installation convenience of the overall curtain wall.

[0150] Step S257: Calculate the support structure compressive stress of the frame-type glass curtain wall support three-dimensional model according to the redundant support data, so as to obtain the support structure compressive stress data.

[0151] In this embodiment, the compressive stress of the support structure of the frame-type glass curtain wall is calculated using the redundant support design data. By importing the redundant support data into the finite element analysis software, the force model of the curtain wall is re-established, and the redundant support is set as a new boundary condition. Next, the force conditions of the curtain wall under different loads (such as wind load, deadweight, etc.) are simulated to calculate the compressive stress distribution of the support structure. The effect of the redundant support structure is analyzed in detail, including whether it effectively reduces the pressure in the high-stress area and reduces the compressive stress value at the point support connection. The calculation results are output as a compressive stress distribution diagram, which shows the effect of redundant support on improving the safety performance of the overall curtain wall, and the design is further optimized based on the data to ensure the stability of the curtain wall structure.

[0152] Optionally, step S254 is specifically:

[0153] Applying gravity load to point support connection data according to weight data of frame type glass curtain wall, thereby obtaining gravity load data of frame type glass curtain wall;

[0154] In this embodiment, the overall weight data of the glass curtain wall is obtained based on the design drawings and material data of the frame-type glass curtain wall. The data includes the deadweight of the glass panel and the weight of the frame support structure. The total gravity load of the curtain wall is calculated by the formula W=m×g, where m is the mass of the curtain wall and g is the acceleration of gravity (generally taken as 9.81 m / s²). According to the position and number of point support connections in the curtain wall design, this gravity load is evenly distributed or distributed to each point support connection according to design requirements. The load borne by each point support connection can be determined by dividing the total gravity by the number of point support connections to ensure that the load distribution is reasonable and meets the actual working conditions. The purpose of applying a gravity load is to provide accurate basic load conditions for subsequent deformation and stress calculations.

[0155] The point support quantity is counted according to the point support connection data, thereby obtaining the point support quantity data;

[0156] In this embodiment, all point support connections on the framed glass curtain wall are counted to obtain the quantity data of the point support connections. By referring to the structural design drawing of the curtain wall or using 3D modeling tools such as AutoCAD, Revit, etc., the specific coordinate positions and installation conditions of all point supports are extracted. The statistical elements include the specific position, material, connection type (such as bolt connection, hinge connection, etc.) of each support point, and ensure that the spacing and number of support points meet the standards and specifications of curtain wall design. The statistical results are used to reasonably distribute the load in the subsequent steps to ensure that each support point can accurately withstand the corresponding mechanical load.

[0157] Load distribution is performed according to the gravity load data of the frame-type glass curtain wall and the point support quantity data, thereby obtaining the point support load data;

[0158] In this embodiment, the gravity load data and the support quantity data are used to perform load distribution calculations. The purpose of load distribution is to ensure that the load borne by each point support is reasonable and consistent with the overall curtain wall structure. According to the number of point supports, the average load required to be borne by each point support is calculated. The specific formula is F=W / n, where W is the gravity load and n is the number of point supports. Consider that certain areas (such as edge areas or areas with large wind loads) need to bear additional loads. When distributing loads, it is necessary to ensure that the load data of each support point conforms to the actual working conditions, and input this data into the finite element analysis software (such as ANSYS) for further structural analysis.

[0159] Obtain support point span data and glass thickness data;

[0160] In this embodiment, the span data between each point support and the thickness data of the glass are extracted from the design drawing of the glass curtain wall. The span data refers to the distance between two adjacent support points, usually in millimeters or meters. Glass thickness is a key parameter that affects the strength and deformation of the curtain wall, and is usually obtained through on-site measurement or according to design specifications, in millimeters. This data will be used for subsequent structural analysis and calculations, and the extracted span and thickness data should be accurate. The choice of glass thickness should comply with building standards, and the thickness varies according to different usage scenarios (such as exterior walls, skylight ceilings, etc.). The thickness and span data are used together to calculate the moment of inertia of the section.

[0161] The section inertia moment is calculated according to the support point span data and the glass thickness data, thereby obtaining the section inertia moment data;

[0162] In this embodiment, the support point span data and glass thickness data are obtained to calculate the cross-sectional inertia moment. The cross-sectional inertia moment is an important parameter reflecting the bending resistance of the material, and the calculation formula is: , where b is the width of the glass plate and h is the thickness of the glass. This formula is applicable to rectangular sections. Glass plates can usually be regarded as rectangular sections, so this formula is used to calculate their moment of inertia. The calculated moment of inertia data can be used for subsequent point support deformation analysis to determine the deformation and bending resistance of the glass under external forces. When calculating, ensure that the input glass thickness and span data are accurate, and calculate the section moment of inertia of different areas according to different glass thicknesses.

[0163] The point support deformation is calculated based on the point support load data and the section inertia moment data, thereby obtaining the point support deformation data.

[0164] In this embodiment, the deformation calculation is performed using the point support load data and the section inertia moment data. First, the point support load data is used as the input mechanical parameter, and combined with the bending resistance of the section inertia moment, the deformation calculation is performed using the classical beam theory or finite element analysis tools (such as ABAQUS). The key formula for deformation calculation is δ = , where F is the load of the point support, L is the span of the support point, E is the elastic modulus of the material, and I is the section inertia moment. The deformation of each point support connection under the load can be obtained. The deformation data should be compared with the actual design standards to ensure that the deformation of the glass curtain wall within the design load range meets the specification requirements and does not affect the safety and stability of the structure.

[0165] Optionally, step S256 is specifically:

[0166] The safety factor of glass material strength is set according to the maximum compressive strength data and the maximum tensile strength data, thereby obtaining the safety factor of glass material strength;

[0167] In this embodiment, compressive strength generally indicates the maximum load that glass can withstand under vertical pressure, while tensile strength indicates the limit value that glass can withstand under tension. By analyzing these limit data, the glass strength safety factor in the design process is determined. The strength safety factor of the glass material is a factor used to ensure that the curtain wall is still within a safe range when subjected to maximum stress. The setting of the safety factor should be combined with the physical properties of the glass material, engineering standards, and the safety requirements of the actual use scenario to ensure that the design margin is sufficient. After determining the safety factor, it is applied to subsequent structural design and load calculations to ensure that the glass material can be used safely under different working conditions.

[0168] According to the safety factor data of glass material strength, the risk of the glass compressive strength data of the point support area is determined, and the glass compressive strength data of the high-risk point support area is obtained;

[0169] In this embodiment, a risk analysis is performed on the compressive strength of the point support area, the ultimate compressive strength of each point support area is evaluated, and the ultimate strength of the material is reduced to a tolerable value in actual applications using a safety factor, so as to identify point support areas that face higher risks during use. For each point support area, the actual load it bears is analyzed and compared with the compressive limit corrected by the safety factor to determine whether there is a risk of exceeding the safety range. If the actual working load of certain point support areas approaches or exceeds the safety strength threshold of the glass material, it will be marked as a high-risk area. These high-risk areas will serve as the focus of subsequent deformation analysis.

[0170] According to the point support deformation data, the deformation range of the glass compression data in the high-risk point support area is counted, so as to obtain the large deformation data of the high-risk point support area;

[0171] In this embodiment, the deformation data of the high-risk point support area is deeply analyzed, focusing on the statistical analysis of areas with larger deformation variables. In the analysis, the deformation data of the high-risk point support area is collected to evaluate its deformation trend under different load conditions. According to the determined high-risk point support area, combined with its corresponding load and support point position, the deformation range of these areas is statistically analyzed. Focus on identifying the larger point support areas within the deformation range and record their specific deformation variables. The collection of deformation data can be obtained through experimental measurement or computational simulation to evaluate whether the deformation variable exceeds the design allowable range. In this process, special attention should be paid to the characteristics of large deformation areas and their impact on the overall stability of the glass structure, so as to provide data support for subsequent redundant design.

[0172] Draw a deformation distribution visualization map based on the large deformation data of the high-risk point support area, so as to obtain a deformation distribution visualization map of the high-risk point support area;

[0173] In this embodiment, after completing the deformation range statistics of the high-risk point support area, professional software is used to visualize these data and draw a deformation distribution map. Visualization tools such as AutoCAD and Revit finite element analysis software can be used to convert deformation data into three-dimensional or two-dimensional graphic displays. The distribution of deformation variables is intuitively displayed through color gradients or contour maps. Areas with larger deformations are represented by specific colors for easy identification and analysis. This visualization can help engineers quickly determine the deformation conditions and distribution characteristics of high-risk areas, clarify the areas where deformations are concentrated, and facilitate subsequent targeted strengthening of structural design. In addition, the distribution map can also be used as a reference for future maintenance and monitoring to determine whether the deformation has expanded over time.

[0174] Mark the locations of points where deformation exceeds the standard according to the deformation distribution visualization diagram of the high-risk point support area, so as to obtain the location data of the points where deformation exceeds the standard;

[0175] In this embodiment, in the deformation distribution visualization diagram, these exceeding points are marked by analyzing the specific location and deformation amount of the exceeding deformation. When marking, it is necessary to clearly record the spatial coordinates of each deformation exceeding point and its specific deformation amount. The definition of the exceeding point is based on the deformation threshold specified in the design specification, which is usually determined according to the engineering standard. In the area exceeding this threshold, the position is marked by the annotation tool, and the deformation data is further compared and analyzed with the bearing capacity of the point support area. After marking, the data of these exceeding points will be used for subsequent structural optimization, and the data of the specific location will be used to guide the design and construction of the reinforced support structure to ensure that the deformation risk can be effectively reduced under actual working conditions in the future.

[0176] Redundant support points are designed for the position data of the deformation exceeding the standard point, so as to obtain redundant support data.

[0177] In this embodiment, redundant support design is performed for point support areas where deformation exceeds the standard. Based on the marked position data of the exceeding points and combined with the mechanical analysis of the support structure, the location and number of new support points that need to be added are determined. The design of redundant support points needs to take into account the overall stress conditions of the structure to ensure that the newly added support points can effectively share the load and reduce the stress concentration of existing support points. When designing redundant supports, it is necessary to select materials that match the existing support point structure and ensure the feasibility of construction. The design of redundant support points should aim to reduce deformation while ensuring the safety and aesthetics of the overall structure. After the design is completed, the specific location, quantity and load-bearing capacity of the redundant support points are recorded to form a complete support data report for construction and subsequent testing.

[0178] Optionally, step S4 is specifically:

[0179] Step S41: performing maximum rain simulation according to the wind resistance data of the frame type glass curtain wall support structure and the frame type glass curtain wall support inspection data, thereby obtaining maximum rain simulation data of the frame type glass curtain wall;

[0180] In this embodiment, rainwater simulation is performed based on the wind resistance data and support inspection data of the frame-type glass curtain wall. The wind resistance data is obtained through wind tunnel tests or wind load analysis tools, which provide the structural bearing capacity and displacement information of the curtain wall under different wind speeds. The support inspection data comes from the bearing capacity and stability assessment of the supporting structure under various working conditions. The maximum rainwater simulation is performed using a fluid dynamics simulation tool (such as CFD software), and the input simulated rainwater volume must refer to local historical extreme rainfall data or standard rainstorm data. Through this simulation, the flow path and water accumulation of rainwater along the surface of the curtain wall under different rainfall intensities are evaluated. The simulation should pay special attention to the accumulation and pressure of rainwater in the joints, edges and bottom areas. The maximum rainwater simulation data is the basic data for the subsequent calculation of water pressure and infiltration rate.

[0181] Step S42: Calculating the maximum water pressure according to the maximum rain simulation data of the frame-type glass curtain wall, thereby obtaining the maximum water pressure data;

[0182] In this embodiment, the maximum water pressure is calculated based on the maximum rain simulation data. By simulating the accumulation of rainwater in various parts of the curtain wall, the pressure distribution of the accumulated water in the joints, nodes, and bottom edge areas is analyzed in detail. The water pressure calculation can be carried out according to the principles of fluid statics, and the maximum water pressure borne by each part in the case of heavy rain is determined by combining factors such as the geometric shape of the curtain wall, the amount of rainwater, and the depth of accumulated water. The calculation of the water pressure value should take into account the stress concentration of the glass surface and the supporting points at different heights to ensure that the calculated maximum water pressure covers the worst working conditions. The maximum water pressure data is used for subsequent joint sealing evaluation to determine whether the curtain wall can maintain its waterproof performance under extreme rainfall conditions.

[0183] Step S43: evaluating the joint sealing performance of the frame-type glass curtain wall support three-dimensional model according to the maximum water pressure data, thereby obtaining joint sealing performance data;

[0184] In this embodiment, after obtaining the maximum water pressure data, the joint sealing of the curtain wall needs to be evaluated. During the evaluation process, the focus is on whether the sealing material performance and joint design at the joints in the curtain wall structure can effectively prevent water from penetrating under the maximum water pressure. The basis for the evaluation of joint sealing includes parameters such as the compression resistance, ductility, and anti-aging performance of the sealing material. These material parameters are obtained through laboratory tests to ensure that the sealing material will not crack, deform or age under multiple high water pressures. By simulating the stress distribution of water pressure applied to the joints in a three-dimensional model, analyzing the risk of water seepage at different joint positions, and comparing the evaluation results with the design standards, the joint sealing data is obtained. This data will be used for further calculation of the water penetration rate.

[0185] Step S44: Calculating the water penetration rate according to the maximum rain simulation data of the framed glass curtain wall and the joint sealing data, thereby obtaining water penetration rate data;

[0186] In this embodiment, the water penetration rate of the curtain wall under heavy rain conditions is calculated by combining the maximum rain simulation data and the joint sealing data. The water penetration rate reflects the speed at which rainwater penetrates into the interior through weak points such as joints and edges of the curtain wall. The calculation of the penetration rate is based on the results of the sealing evaluation, with particular attention paid to areas with poor sealing performance or failure under extreme water pressure. Using fluid mechanics calculation tools, the water pressure and material water penetration resistance of different joints and node areas are analyzed to determine the penetration path and penetration rate of rainwater. The penetration rate data will be directly used for subsequent watertightness comparisons to ensure that the waterproof performance of the curtain wall can meet the design requirements when the rainfall exceeds the standard.

[0187] Step S45: obtaining standard permeability data of the framed glass curtain wall, and performing water tightness comparison on the water permeability rate data according to the standard permeability data of the framed glass curtain wall, thereby obtaining water tightness data of the framed glass curtain wall;

[0188] In this embodiment, the standard permeability data of the glass curtain wall specified by the curtain wall design or industry standards is obtained as an important benchmark for measuring water tightness. The standard permeability is usually clearly specified in the building code or engineering manual, and the standard varies according to different use areas and climatic conditions. After obtaining the water permeability rate data, it is necessary to compare it with the standard permeability to determine the water tightness of the curtain wall. The process of water tightness comparison should take into account special circumstances in the curtain wall structure, such as areas with concentrated support points or too long joints. Through comparative analysis, it is determined whether the water permeability rate exceeds the standard value, and then it is evaluated whether the waterproof performance of the entire curtain wall meets the design expectations. If the permeability exceeds the standard, it is necessary to optimize the design or correct the construction of the relevant parts, and finally obtain the water tightness data of the curtain wall.

[0189] Step S46: evaluating the service life of the frame type glass curtain wall according to the water tightness data of the frame type glass curtain wall and the wind resistance data of the frame type glass curtain wall supporting structure, thereby obtaining the service life data of the frame type glass curtain wall.

[0190] In this embodiment, the service life of the curtain wall is comprehensively evaluated by combining the water tightness data and wind resistance data of the curtain wall. Water tightness is directly related to the long-term waterproof performance of the curtain wall, while wind resistance affects its structural integrity under long-term exposure to wind load conditions. The service life assessment should take into account the aging, deformation, sealing failure and other problems of the curtain wall under the long-term action of high water pressure and wind load. Combined with the durability of building materials, maintenance cycle and curtain wall design standards, the expected number of years that the curtain wall can maintain its normal function without large-scale maintenance or replacement is calculated. The evaluation results must be based on material aging experiments, long-term wind load experiments and the actual use environment, and finally the service life data of the curtain wall is obtained as an important basis for engineering construction and maintenance planning.

[0191] Optionally, step S42 is specifically:

[0192] Step S421: extracting maximum rainfall duration data and maximum rainfall intensity data according to the maximum rainfall simulation data of the frame-type glass curtain wall, thereby obtaining maximum rainfall duration data and maximum rainfall intensity data;

[0193] In this embodiment, the maximum rainfall duration and maximum rainfall intensity data in the rainfall event are extracted through the maximum rainfall simulation results. The maximum rainfall simulation data is generated based on historical meteorological data and fluid dynamics simulation, and includes the flow, accumulation and discharge of rainwater under different rainfall scenarios. The extraction of rainfall duration needs to be combined with the analysis of extreme rainfall events during the simulation process to determine the time period of high-intensity precipitation in a certain rainfall, while the rainfall intensity is calculated based on the rainfall per unit time. The maximum rainfall duration and maximum rainfall intensity obtained will be used for the subsequent calculation of the water pressure generated by rain on the curtain wall to ensure that the simulation results can reflect the pressure effect under actual extreme rainfall conditions.

[0194] Step S422: Calculate the height of the rain water faucet according to the maximum rainfall duration data and the maximum rainfall intensity data, thereby obtaining the height data of the rain water faucet;

[0195] In this embodiment, the height of the rain faucet is calculated based on the maximum rainfall duration data and the maximum rainfall intensity data. The faucet height refers to the height of the water column formed by gravity after the rain flows or accumulates on the surface of the curtain wall. The slope of the curtain wall surface, the amount of accumulated water and the flow resistance need to be considered when calculating the faucet height. Especially for vertically installed glass curtain walls, since rainwater accumulates in the joints and edge areas, the height of the faucet is an important parameter, reflecting the pressure exerted by water on the local part of the curtain wall. The faucet height data obtained by calculation provides a basis for subsequent water pressure analysis. This calculation requires the use of parameters such as water flow velocity and water accumulation depth in fluid mechanics, combined with simulated rainfall intensity and duration to accurately evaluate the height and distribution of rainwater.

[0196] Step S423: performing curtain wall installation height statistics according to the framed glass curtain wall installation position data, thereby obtaining high-position framed glass curtain wall installation data and low-position framed glass curtain wall installation data;

[0197] In this embodiment, according to the installation position data of the curtain wall, the height of the curtain wall is statistically classified, specifically including the installation areas of high position and low position. These data are obtained through the design drawings of the building or on-site measurements. When counting, considering that the curtain walls at different heights are affected by different wind loads and water pressures, it is necessary to divide the curtain walls into high position and low position according to their height. The high position usually refers to the upper area of ​​the building, and the low position refers to the part of the curtain wall near the ground. By classifying the installation data of curtain walls at different heights, the foundation is laid for the subsequent wind speed calculation and water pressure analysis. The installation height statistical data of this step is directly used for the calculation of wind load and water pressure of high and low position curtain walls.

[0198] Step S424: performing wind speed calculations according to the high-position framed glass curtain wall installation data and the low-position framed glass curtain wall installation data, respectively, so as to obtain the high-position framed glass curtain wall installation wind speed data and the low-position framed glass curtain wall installation wind speed data;

[0199] In this embodiment, the wind speed is calculated respectively by the installation data of the curtain wall at a high position and a low position. The calculation of the wind speed is based on the wind field simulation data, the geographical conditions around the building and the meteorological conditions at the height of the curtain wall. The curtain wall at a high position is usually subject to a larger wind speed because it is located on the upper part of the building, while the curtain wall at a low position is greatly affected by the ground environment. When calculating the wind speed, it is necessary to consider the wind resistance, air turbulence and wind pressure differences at different heights around the building. The high and low position wind speed data obtained by calculation provide an important reference basis for the subsequent water pressure impact of rain on the curtain wall at different heights. These data also take into account the changes in wind direction of the building morphology and the surrounding environment to ensure that the calculation results are accurate and reliable.

[0200] Step S425: Calculate the maximum water pressure of rainwater on the high-position glass curtain wall according to the rainwater faucet height data and the wind speed data of the high-position framed glass curtain wall installation, so as to obtain the maximum water pressure data of the high-position framed glass curtain wall;

[0201] In this embodiment, the maximum water pressure of rainwater faucet that the high-position glass curtain wall withstands is calculated using the previously obtained data on the height of the rain faucet and the wind speed data of the high-position curtain wall. This calculation needs to combine the force of the faucet height and wind speed on water to analyze the local maximum water pressure generated by the impact of rainwater on the high-position curtain wall under extreme rainfall conditions. Factors such as water flow velocity, vertical pressure at the height of the faucet, and lateral thrust of wind speed on water need to be considered in the calculation. By comprehensively calculating these parameters, the maximum water pressure data of the high-position curtain wall is obtained. This data is an important basis for judging the bearing capacity and structural design safety of the high-position curtain wall under extreme rainfall conditions.

[0202] Step S426: Calculate the maximum water pressure of rainwater on the low-position glass curtain wall according to the rainwater faucet height data and the installation wind speed data of the low-position framed glass curtain wall, so as to obtain the maximum water pressure data of the low-position framed glass curtain wall;

[0203] In this embodiment, the maximum water pressure of rainwater on the low-position glass curtain wall is calculated by using the height data of the rainwater faucet and the wind speed data of the low-position curtain wall. Unlike the high-position curtain wall, the low-position curtain wall is close to the ground and is subject to a lower wind speed, but the accumulation of water and sediment leads to a higher faucet height. The accumulation depth of rainwater in the low-position area and the impact force of the water flow, as well as the thrust of the wind speed on the water, need to be considered during the calculation process. Through a comprehensive analysis of these factors, the maximum water pressure data of the low-position glass curtain wall is obtained. This data helps to determine the water pressure bearing capacity of the low-position curtain wall during extreme rainfall, and ensures its sealing and structural stability.

[0204] Step S427: integrating the maximum water pressure of the glass curtain wall according to the maximum water pressure data of the high-position framed glass curtain wall and the maximum water pressure data of the low-position framed glass curtain wall, thereby obtaining the maximum water pressure data.

[0205] In this embodiment, the maximum water pressure data of the high-position and low-position glass curtain walls are integrated to obtain the maximum water pressure data of the entire frame glass curtain wall. In the integration process, it is necessary to consider the difference in water pressure at different heights, as well as the combined effects of rain and wind speed in different curtain wall areas. By statistically analyzing the maximum water pressure at each part, the overall water pressure peak of the curtain wall under extreme rainfall and wind speed conditions is determined. The integrated maximum water pressure data provides a basis for the safety assessment of the curtain wall structure design, and is used to further optimize the waterproof performance and wind load resistance of the curtain wall to ensure stable operation throughout the life cycle of the curtain wall.

[0206] Optionally, step S46 is specifically:

[0207] Step S461: performing joint mold simulation on joint sealing data according to the water tightness data of the frame type glass curtain wall, so as to obtain joint mold data;

[0208] In this embodiment, the growth of mold in the joints is simulated by analyzing the watertightness data and joint sealing data of the frame-type glass curtain wall. First, the watertightness data obtained indicates the waterproof performance of the curtain wall under different weather conditions, and the joint sealing data provides information on the sealing integrity of the joints. These data are combined into a model to simulate the conditions for mold growth at the joints in a humid environment. During the simulation, a microbial growth model is used to set the thresholds of humidity, temperature and moisture, and analyze their promoting effect on mold growth. Through a comprehensive assessment of the moisture and climatic conditions at the joints, the obtained joint mold data provides a basis for subsequent maintenance and repair, and determines the areas that need to be focused on prevention and control and related measures to reduce the impact of mold on buildings.

[0209] Step S462: performing connection structure damage analysis on point support connection data according to wind resistance data of the frame-type glass curtain wall support structure, thereby obtaining connection structure damage data;

[0210] In this embodiment, the wind resistance data of the frame-type glass curtain wall support structure is used to perform a structural damage analysis on the point support connection. First, the wind resistance parameters related to the support connection are collected, including the strength of the supporting material, the fatigue limit of the connector, and its deformation characteristics under extreme wind loads. The connection structure is simulated using a finite element analysis tool to determine the stress concentration and displacement of the connection point under the maximum wind speed condition. By comparing with the tensile and compressive strength of the material, it is analyzed whether there is a potential risk of damage to the connection structure, and the damage data of the connection structure is obtained. These data provide a basis for evaluating whether the point support connection needs to be replaced or reinforced, ensuring the overall stability and safety of the curtain wall.

[0211] Step S463: analyzing the damage degree of the glass curtain wall according to the joint mold data and the connection structure damage data, thereby obtaining the damage degree data of the glass curtain wall;

[0212] In this embodiment, a comprehensive analysis of the degree of damage to the glass curtain wall is performed based on the joint mold data and the connection structure damage data. First, the joint mold data is converted into mold density data at the joint to evaluate the erosion risk caused to the structural material; at the same time, combined with the connection structure damage data, the safety and degree of damage of the connection parts are analyzed. Through the weighted scoring model, different types of damage risks are quantified, taking into account the material degradation rate caused by mold growth, the type of connection damage and its impact on the overall structure. Finally, a glass curtain wall damage data report is formed, which contains the damage level of each part and potential follow-up repair suggestions. It provides a scientific basis for the formulation of maintenance plans and repair plans, which helps to extend the service life of glass curtain walls.

[0213] Step S464: evaluating the service life of the frame type glass curtain wall according to the damage degree data of the glass curtain wall, thereby obtaining service life data of the frame type glass curtain wall.

[0214] In this embodiment, the service life of the frame glass curtain wall is evaluated based on the damage data of the glass curtain wall. Determine the various indicators of the damage data, including the impact of mold at the joints, the damage to the point support connection, and the aging rate of the overall material. By applying the life prediction model, combined with the actual use conditions, climatic factors and maintenance records, evaluate the impact of each factor on the service life of the curtain wall. The model takes into account the cumulative impact of different types of damage on the overall structural stability to determine the remaining service life of the curtain wall. Finally, a service life data report for the frame glass curtain wall is generated, detailing the expected maintenance time nodes, necessary maintenance measures and recommendations for replacement parts. Provides decision support for building managers to help them formulate scientific and reasonable maintenance plans to ensure the safety and performance of the curtain wall within its designed service life.

[0215] Optionally, the present specification also provides a glass curtain wall life cycle management system, which is used to execute the glass curtain wall life cycle management method as described above, and the glass curtain wall life cycle management system includes:

[0216] Glass curtain wall installation position design module: used to obtain building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; design the installation position of the framed glass curtain wall based on the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall;

[0217] Glass curtain wall support inspection and analysis module: used to obtain frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extract glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, so as to obtain glass material tensile strength data and glass material compressive strength data; perform support inspection and analysis on the frame-type glass curtain wall support structure data according to the glass material tensile strength data and glass material compressive strength data, so as to obtain frame-type glass curtain wall support inspection data;

[0218] Glass curtain wall support structure wind resistance analysis module: used to perform wind resistance analysis on the frame glass curtain wall support structure data according to the frame glass curtain wall installation position data and the frame glass curtain wall support inspection data, so as to obtain the frame glass curtain wall support structure wind resistance data;

[0219] Glass curtain wall service life analysis module: used to analyze the water tightness of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the inspection data of the framed glass curtain wall support, so as to obtain the water tightness data of the framed glass curtain wall; to evaluate the service life of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, so as to obtain the service life data of the framed glass curtain wall;

[0220] Glass curtain wall life cycle management module: used to obtain the historical maintenance data of framed glass curtain walls, and optimize the full life cycle management based on the service life data of framed glass curtain walls and the historical maintenance data of framed glass curtain walls, so as to obtain the full life cycle management data of framed glass curtain walls and upload it to the building management platform to execute the full life cycle management tasks of framed glass curtain walls.

[0221] A glass curtain wall full life cycle management system of the present invention can implement any glass curtain wall full life cycle management method of the present invention, and is used to combine the operation and signal transmission medium between various modules to complete the glass curtain wall full life cycle management method. The internal modules of the system cooperate with each other to complete the glass curtain wall full life cycle management.

[0222] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0223] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A glass curtain wall full life cycle management method, characterized in that: The following steps are involved: Step S1: Acquire building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; Design the installation position of the framed glass curtain wall according to the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall; Step S2: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data; According to the tensile strength data of the glass material and the compressive strength data of the glass material, support inspection and analysis are performed on the frame type glass curtain wall support structure data, so as to obtain the frame type glass curtain wall support inspection data. Step S2 is specifically as follows: Step S21: acquiring frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extracting glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, thereby obtaining glass material tensile strength data and glass material compressive strength data; Step S22: extracting connection mode features and support size features according to the frame-type glass curtain wall support structure data, thereby obtaining frame-type glass curtain wall connection mode data and frame-type glass curtain wall support size data; Step S23: constructing a three-dimensional model of the frame type glass curtain wall support according to the frame type glass curtain wall connection mode data and the frame type glass curtain wall support size data, thereby obtaining a three-dimensional model of the frame type glass curtain wall support; Step S24: Performing tensile stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the tensile strength data of the glass material, thereby obtaining tensile stress data of the support structure. Step S24 is specifically as follows: Step S241: performing tensile strength data statistics according to the tensile strength data of the glass material, so as to obtain maximum tensile strength data; Step S242: Obtain wind load data of framed glass curtain wall; Step S243: performing mesh division of the framed glass curtain wall according to the framed glass curtain wall support three-dimensional model, thereby obtaining mesh data of the framed glass curtain wall; Step S244: extracting grid area features of connection points of the frame type glass curtain wall structure according to the grid data of the frame type glass curtain wall, thereby obtaining grid area data of connection points of the frame type glass curtain wall structure; Step S245: performing stress distribution calculation on the grid area data of the frame type glass curtain wall structure connection points according to the wind load data of the frame type glass curtain wall, thereby obtaining stress distribution data of the frame type glass curtain wall; Step S246: generating a compressive stress distribution diagram according to the stress distribution data of the frame-type glass curtain wall, thereby obtaining a compressive stress distribution diagram; Step S247: performing compressive strength comparison on the compressive stress distribution diagram according to the maximum tensile strength data, thereby obtaining glass compressive limit area distribution data; Step S248: simulating the tensile stress of the support structure of the three-dimensional model of the frame-type glass curtain wall support according to the glass compressive limit area distribution data, thereby obtaining the tensile stress data of the support structure; Step S25: Perform compressive stress analysis on the three-dimensional model of the frame-type glass curtain wall support according to the compressive strength data of the glass material, so as to obtain compressive stress data of the support structure. Step S25 is specifically as follows: Step S251: performing compressive strength data statistics according to the compressive strength data of the glass material, so as to obtain maximum compressive strength data; Step S252: Obtaining weight data of the framed glass curtain wall; Step S253: extracting point support connection features according to the frame-type glass curtain wall support three-dimensional model, thereby obtaining point support connection data; Step S254: performing point support deformation analysis on the point support connection data according to the weight data of the frame-type glass curtain wall, thereby obtaining point support deformation data. Step S254 is specifically as follows: Applying gravity load to point support connection data according to weight data of frame type glass curtain wall, thereby obtaining gravity load data of frame type glass curtain wall; The point support quantity is counted according to the point support connection data, thereby obtaining the point support quantity data; Load distribution is performed according to the gravity load data of the frame-type glass curtain wall and the point support quantity data, thereby obtaining the point support load data; Obtain support point span data and glass thickness data; The section inertia moment is calculated according to the support point span data and the glass thickness data, thereby obtaining the section inertia moment data; The point support deformation is calculated according to the point support load data and the section inertia moment data, so as to obtain the point support deformation data; Step S255: comparing the point support deformation data with the glass compressive ultimate strength according to the maximum compressive strength data, thereby obtaining the glass compressive ultimate strength data of the point support area; Step S256: Design redundant supports according to the compressive strength data of the glass in the point support area, thereby obtaining redundant support data. Step S256 is specifically as follows: The safety factor of glass material strength is set according to the maximum compressive strength data and the maximum tensile strength data, thereby obtaining the safety factor of glass material strength; According to the safety factor data of glass material strength, the risk of the glass compressive strength data of the point support area is determined, and the glass compressive strength data of the high-risk point support area is obtained; According to the point support deformation data, the deformation range of the glass compression data in the high-risk point support area is counted, so as to obtain the large deformation data of the high-risk point support area; Draw a deformation distribution visualization map based on the large deformation data of the high-risk point support area, so as to obtain a deformation distribution visualization map of the high-risk point support area; Mark the locations of points where deformation exceeds the standard according to the deformation distribution visualization diagram of the high-risk point support area, so as to obtain the location data of the points where deformation exceeds the standard; Design redundant support points for the position data of the deformation exceeding the standard point, so as to obtain redundant support data; Step S257: Calculating the compressive stress of the support structure of the frame-type glass curtain wall support three-dimensional model according to the redundant support data, thereby obtaining the compressive stress data of the support structure; Step S26: merging the frame type glass curtain wall support structure according to the support structure tensile stress data and the support structure compressive stress data, thereby obtaining the frame type glass curtain wall support inspection data; Step S3: performing wind resistance analysis on the frame type glass curtain wall support structure data according to the frame type glass curtain wall installation position data and the frame type glass curtain wall support inspection data, thereby obtaining the frame type glass curtain wall support structure wind resistance data; Step S4: performing water tightness analysis of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the framed glass curtain wall support inspection data, thereby obtaining water tightness data of the framed glass curtain wall; performing service life evaluation of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, thereby obtaining service life data of the framed glass curtain wall, and step S4 is specifically as follows: Step S41: performing maximum rain simulation according to the wind resistance data of the frame type glass curtain wall support structure and the frame type glass curtain wall support inspection data, thereby obtaining maximum rain simulation data of the frame type glass curtain wall; Step S42: Calculate the maximum water pressure according to the maximum rain simulation data of the framed glass curtain wall, so as to obtain the maximum water pressure data. Step S42 is specifically as follows: Step S421: extracting maximum rainfall duration data and maximum rainfall intensity data according to the maximum rainfall simulation data of the frame-type glass curtain wall, thereby obtaining maximum rainfall duration data and maximum rainfall intensity data; Step S422: Calculate the height of the rain water faucet according to the maximum rainfall duration data and the maximum rainfall intensity data, thereby obtaining the height data of the rain water faucet; Step S423: performing curtain wall installation height statistics according to the framed glass curtain wall installation position data, thereby obtaining high-position framed glass curtain wall installation data and low-position framed glass curtain wall installation data; Step S424: performing wind speed calculations according to the high-position framed glass curtain wall installation data and the low-position framed glass curtain wall installation data, respectively, so as to obtain the high-position framed glass curtain wall installation wind speed data and the low-position framed glass curtain wall installation wind speed data; Step S425: Calculate the maximum water pressure of rainwater on the high-position glass curtain wall according to the rainwater faucet height data and the wind speed data of the high-position framed glass curtain wall installation, so as to obtain the maximum water pressure data of the high-position framed glass curtain wall; Step S426: Calculate the maximum water pressure of rainwater on the low-position glass curtain wall according to the rainwater faucet height data and the installation wind speed data of the low-position framed glass curtain wall, so as to obtain the maximum water pressure data of the low-position framed glass curtain wall; Step S427: integrating the maximum water pressure of the glass curtain wall according to the maximum water pressure data of the high-position framed glass curtain wall and the maximum water pressure data of the low-position framed glass curtain wall, thereby obtaining the maximum water pressure data; Step S43: evaluating the joint sealing performance of the frame-type glass curtain wall support three-dimensional model according to the maximum water pressure data, thereby obtaining joint sealing performance data; Step S44: Calculating the water penetration rate according to the maximum rain simulation data of the framed glass curtain wall and the joint sealing data, thereby obtaining water penetration rate data; Step S45: obtaining standard permeability data of the framed glass curtain wall, and performing water tightness comparison on the water permeability rate data according to the standard permeability data of the framed glass curtain wall, thereby obtaining water tightness data of the framed glass curtain wall; Step S46: evaluating the service life of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall supporting structure, thereby obtaining the service life data of the framed glass curtain wall. Step S46 is specifically as follows: Step S461: performing joint mold simulation on joint sealing data according to the water tightness data of the frame type glass curtain wall, so as to obtain joint mold data; Step S462: performing connection structure damage analysis on point support connection data according to wind resistance data of the frame-type glass curtain wall support structure, thereby obtaining connection structure damage data; Step S463: analyzing the damage degree of the glass curtain wall according to the joint mold data and the connection structure damage data, thereby obtaining the damage degree data of the glass curtain wall; Step S464: evaluating the service life of the frame type glass curtain wall according to the damage degree data of the glass curtain wall, thereby obtaining service life data of the frame type glass curtain wall; Step S5: Obtain the historical maintenance data of the framed glass curtain wall, and optimize the full life cycle management based on the service life data of the framed glass curtain wall and the historical maintenance data of the framed glass curtain wall, so as to obtain the full life cycle management data of the framed glass curtain wall, and upload it to the building management platform to execute the full life cycle management tasks of the framed glass curtain wall.

2. A glass curtain wall full life cycle management system, characterized in that: Used to execute the glass curtain wall full life cycle management method as claimed in claim 1, the glass curtain wall full life cycle management system comprises: Glass curtain wall installation position design module: used to obtain building exterior wall data, and extract building exterior wall size features based on the building exterior wall data, thereby obtaining building exterior wall size data; design the installation position of the framed glass curtain wall based on the building exterior wall size data, thereby obtaining the installation position data of the framed glass curtain wall; Glass curtain wall support inspection and analysis module: used to obtain frame-type glass curtain wall design data and frame-type glass curtain wall support structure data, and extract glass material tensile strength characteristics and glass material compressive strength characteristics according to the frame-type glass curtain wall design data, so as to obtain glass material tensile strength data and glass material compressive strength data; perform support inspection and analysis on the frame-type glass curtain wall support structure data according to the glass material tensile strength data and glass material compressive strength data, so as to obtain frame-type glass curtain wall support inspection data; Glass curtain wall support structure wind resistance analysis module: used to perform wind resistance analysis on the frame glass curtain wall support structure data according to the frame glass curtain wall installation position data and the frame glass curtain wall support inspection data, so as to obtain the frame glass curtain wall support structure wind resistance data; Glass curtain wall service life analysis module: used to analyze the water tightness of the framed glass curtain wall according to the wind resistance data of the framed glass curtain wall support structure and the inspection data of the framed glass curtain wall support, so as to obtain the water tightness data of the framed glass curtain wall; to evaluate the service life of the framed glass curtain wall according to the water tightness data of the framed glass curtain wall and the wind resistance data of the framed glass curtain wall support structure, so as to obtain the service life data of the framed glass curtain wall; Glass curtain wall life cycle management module: used to obtain the historical maintenance data of framed glass curtain walls, and optimize the full life cycle management based on the service life data of framed glass curtain walls and the historical maintenance data of framed glass curtain walls, so as to obtain the full life cycle management data of framed glass curtain walls and upload it to the building management platform to execute the full life cycle management tasks of framed glass curtain walls.

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