A full-process construction method for multi-curved curtain wall system

Abstract

The invention provides a full-process construction method for a multi-curved curtain wall system, which belongs to the technical field of building construction. The full-process construction method for the multi-curved curtain wall system comprises the following steps: in a modeling stage, three-dimensional modeling of the multi-curved curtain wall is performed according to a building design; in a design stage, the multi-curved curtain wall is divided into a skeleton and a plurality of glass plates according to a design drawing; in a simulation stage, force simulation analysis is performed on each glass plate respectively; in a manufacturing stage, the multi-curved curtain wall is manufactured according to the force simulation analysis result, and the maximum value of the stress index of each glass plate is obtained; in an installation stage, the skeleton and the glass plate are installed, and the stress index of each glass plate is detected during the installation process, and if the stress index exceeds the maximum value, the glass plate is remanufactured and installed; in a detection stage, after the installation is completed, the multi-curved curtain wall is detected to meet the building requirements.

Description

Technical Field

[0001] The invention belongs to the technical field of building construction, and in particular relates to a full-process construction method for a multi-curved curtain wall system. Background Art

[0002] As buildings develop towards high-rise and large-span, multi-curved glass curtain wall structures are widely used in the exterior curtain wall and ceiling systems of various public buildings and super-high-rise buildings. Traditional flat glass curtain wall structures can no longer meet the functional and aesthetic requirements of buildings. Multi-curved curtain walls are increasingly favored by the construction industry due to their streamlined appearance and large-span use space.

[0003] The multi-curved glass curtain wall is a facade filling system formed by organizing glass plates and metal structural parts on a certain geometric surface. Its main structure includes glass plates, connectors, aluminum alloy frames, etc. The existing multi-curved curtain wall construction technology mainly realizes the pre-bending of glass plates through mechanical bending or precision prefabricated molds. However, both technologies have many shortcomings. The mechanical bending technology is complicated to operate and has poor control over the residual stress inside the glass; the prefabricated mold method requires the production of a large number of molds to adapt to structural changes, and the mold production cost is high. As a result, the production and installation process of the multi-curved curtain wall is very complicated, the construction period is long, and the quality is difficult to control.

[0004] The multi-curved curtain wall is subjected to large wind loads during use, and the stress state of its glass panels directly affects the safety of the overall structure. However, it is difficult to accurately predict the stress level of multi-curved glass panels through finite element calculation. At present, stress analysis is often used to detect the stress level of glass panels, but this method requires complex sensor configuration and data acquisition system, which is difficult to operate in practice. Therefore, construction workers cannot quickly and easily detect and evaluate the stress state of glass panels during construction, making it difficult to control the construction quality of the entire multi-curved curtain wall system. Summary of the invention

[0005] In view of this, the present invention provides a full-process construction method for a multi-curved curtain wall system, which can solve the technical problem in the prior art that construction workers are unable to quickly and simply detect and evaluate the stress state of glass plates during the construction of the multi-curved curtain wall system.

[0006] The present invention is achieved in that:

[0007] The present invention provides a full-process construction method for a multi-curved curtain wall system, which comprises the following steps:

[0008] In the modeling stage, three-dimensional modeling of multi-curved curtain walls is carried out according to the architectural design;

[0009] During the design phase, the multi-curved curtain wall was divided into a skeleton and multiple glass panels according to the design drawings;

[0010] In the simulation stage, force simulation analysis is performed on each glass plate;

[0011] During the manufacturing phase, the multi-curved curtain wall is manufactured based on the results of the stress simulation analysis, and the maximum stress index of each glass panel is obtained;

[0012] During the installation phase, the frame and glass panels are installed, and the stress index of each glass panel is tested during the installation process. If the stress index exceeds the maximum value, the glass panel is remanufactured and installed;

[0013] During the inspection phase, after installation, the multi-curved curtain wall is inspected to ensure it meets the building requirements.

[0014] On the basis of the above technical solution, the whole process construction method of a multi-curved curtain wall system of the present invention can also be improved as follows:

[0015] The step of obtaining the maximum value of the stress index of each glass plate is as follows:

[0016] S10, when applying a gradually increasing vertical pressure to the test glass plate, recording the vertical pressure and the corresponding stress spot image to form a test data set, wherein the test glass plate and the glass plate used for building the curtain wall are glass plates of the same material and thickness;

[0017] S20, recording the vertical pressure value when the test glass plate scatters light or breaks, which are recorded as the light scattering pressure value and the breaking pressure value respectively, and taking 80% of the smaller value of the two as the maximum pressure value;

[0018] S30, deleting data in the test data set whose pressure value is greater than the maximum pressure value, and clustering all stress spot images in the test data set into M cluster centers;

[0019] S40, extracting image features of each cluster center to obtain M image feature matrices;

[0020] S50, assigning percentages to the obtained M image feature matrices as stress indices.

[0021] Furthermore, the step of recording the vertical pressure and the corresponding stress spot image to form a test data set when gradually increasing vertical pressure is applied to the test glass plate is specifically:

[0022] Prepare test glass plates of the same specifications;

[0023] Design a controllable loading test system;

[0024] Configure a high-resolution image monitoring system and load a polarizing filter on the camera of the image monitoring system;

[0025] Apply different levels of pressure until the glass breaks;

[0026] Continuously collect stress spot images during loading;

[0027] Form a stress-image test dataset.

[0028] Further, the step of recording the vertical pressure value when the test glass plate scatters light or breaks, respectively recording it as the light scattering pressure value and the breaking pressure value, and taking the smaller value K% of the two as the maximum pressure value, is specifically:

[0029] Loading test to observe light scattering and failure pressure;

[0030] Record the pressure value P1 at which light scattering begins;

[0031] Record the pressure value P2 when the glass breaks;

[0032] Compare P1 and P2 and take the smaller value;

[0033] The smaller pressure value K% is regarded as the maximum operating pressure.

[0034] Furthermore, the step of deleting data in the test data set whose pressure value is greater than the maximum pressure value and clustering all stress spot images in the test data set into M cluster centers is specifically:

[0035] Import the complete stress-image test dataset;

[0036] Screen out the over-limit data according to the maximum pressure value;

[0037] Image processing identifies stress spot areas;

[0038] Extracting image features of each stress spot;

[0039] defining a distance metric between features of the stress spot region;

[0040] All stress spots were analyzed using a clustering algorithm;

[0041] Get M representative cluster centers.

[0042] Furthermore, the step of extracting the image features of each cluster center to obtain M image feature matrices is specifically:

[0043] Input the image of M cluster centers obtained by clustering;

[0044] Convert the central image into frequency domain;

[0045] Extract image feature vector from the spectrogram;

[0046] Construct an image feature matrix for each center;

[0047] Select the main features to construct the feature vector.

[0048] Furthermore, the step of assigning percentages to the obtained M image feature matrices as stress indices is specifically as follows:

[0049] Normalize the M image feature matrices;

[0050] Set weights for different features based on experience;

[0051] Perform weighted superposition on feature vectors;

[0052] Calculate the stress index corresponding to each category.

[0053] Generate pressure-stress index correspondence table

[0054] Furthermore, M>10, and K is between 70 and 90.

[0055] Furthermore, M=100.

[0056] Further, K=80.

[0057] Compared with the prior art, the beneficial effect of the full-process construction method of a multi-curved curtain wall system provided by the present invention is that the characteristic information of the stress plaque can be accurately obtained by using image recognition and feature extraction technology, and accurate quantitative monitoring of the actual stress level can be achieved according to the pre-built feature-stress correspondence model. The image recognition technology can complete the full-domain detection of the entire plate in a few seconds, which is quick and simple and meets the real-time requirements of on-site detection. It can solve the technical problem in the prior art that construction personnel cannot quickly and simply detect and evaluate the stress state of the glass plate during the construction of the multi-curved curtain wall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0059] Figure 1 A flow chart of steps for obtaining a maximum value of the stress index of each glass sheet; DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0063] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0064] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0065] The method of the present invention comprises the following steps:

[0066] In the modeling stage, three-dimensional modeling of multi-curved curtain walls is carried out according to the architectural design;

[0067] During the design phase, the multi-curved curtain wall was divided into a skeleton and multiple glass panels according to the design drawings;

[0068] In the simulation stage, force simulation analysis is performed on each glass plate;

[0069] During the manufacturing phase, the multi-curved curtain wall is manufactured based on the results of the stress simulation analysis, and the maximum stress index of each glass panel is obtained;

[0070] During the installation phase, the frame and glass panels are installed, and the stress index of each glass panel is tested during the installation process. If the stress index exceeds the maximum value, the glass panel is remanufactured and installed;

[0071] During the inspection phase, after installation, the multi-curved curtain wall is inspected to ensure it meets the building requirements.

[0072] like Figure 1 As shown, in the above technical solution, the steps for obtaining the maximum value of the stress index of each glass plate are:

[0073] S10, when applying a gradually increasing vertical pressure to the test glass plate, recording the vertical pressure and the corresponding stress spot image to form a test data set, wherein the test glass plate and the glass plate used for building the curtain wall are glass plates of the same material and thickness;

[0074] S20, recording the vertical pressure value when the test glass plate scatters light or breaks, which are recorded as the light scattering pressure value and the breaking pressure value, respectively, and taking 70-90% of the smaller value of the two as the maximum pressure value, preferably 80%;

[0075] S30, deleting data in the test data set whose pressure value is greater than the maximum pressure value, and clustering all stress spot images in the test data set into M cluster centers;

[0076] S40, extracting image features of each cluster center to obtain M image feature matrices;

[0077] S50, assigning percentages to the obtained M image feature matrices as stress indices, where M is generally greater than 10, and preferably 100.

[0078] The following is a detailed description of the specific stages and steps above:

[0079] 1. Modeling Phase

[0080] 1. Data Collection

[0081] Collect architectural design drawings to determine the location, range and geometry of multi-curved curtain walls. Collect point cloud data of the wall to obtain point coordinate information on the actual surface of the wall.

[0082] 2. Build a 3D model

[0083] Use Building Information Modeling (BIM) software to create a 3D model of a multi-surface curtain wall based on the design drawings. Import wall point cloud data to make the model fit the actual wall surface. Set the model material properties and add glass, metal and other components according to design requirements.

[0084] 3. Model Optimization

[0085] Check whether the model meets the design intent, optimize the model topology, and ensure that each component is accurately connected. Delete redundant and erroneous information in the model to ensure the correctness of the model. Perform collision checks, adjust component positions, and eliminate mutual interference between models.

[0086] 4. Information Extraction

[0087] Extract various information from the 3D model, including the outer contour of the wall, sub-wall segmentation, number of components, etc., and generate a wall information table. Output 2D drawings for numerical analysis and engineering construction. Export various model data interface files.

[0088] 2. Design Phase

[0089] 1. Divide the wall

[0090] According to the three-dimensional model, the multi-curved curtain wall is reasonably divided into surfaces according to the design requirements.

[0091] 2. Determine the size of the glass plate

[0092] Calculate the required glass plate specifications based on the shape and size of the sub-wall. Determine the thickness of the glass plate considering the material properties and structural requirements. Calculate the number of glass plates required for each location.

[0093] 3. Generate production drawings

[0094] Generate detailed production drawings for each glass panel, marking parameters such as size and hole position. Organize the glass panel number and corresponding wall position information table. Draw the assembly diagram and assembly sequence diagram of the glass panel.

[0095] 4. Modular design

[0096] According to the curvature radius and degree of change of the wall, the area with similar curvature is divided into a module. Each module uses the same glass plate processing map to improve production efficiency.

[0097] 3. Simulation stage

[0098] 1. Import 3D models

[0099] Collect the 3D digital wall model and related glass panel design drawings output during the design phase. Import them into the software and repair the model to ensure that there are no missing or errors.

[0100] 2. Material property definition

[0101] According to the engineering material table, the material properties of each component in the wall model are defined in the simulation software, including parameters such as the density, elastic modulus, and tensile strength of the glass plate.

[0102] 3. Loads and constraints

[0103] According to the structural design specifications, loads such as the design wind pressure and deadweight of the wall area are added to the simulation model. Add constraints to each point of the wall.

[0104] 4. Grid division

[0105] Divide the model into grids, and focus on increasing the grid density of the glass plate components to ensure the accuracy of the calculation. Control the number of grids to ensure a reasonable calculation scale.

[0106] 5. Simulation scheme setting

[0107] Establish multiple simulation schemes, corresponding to different loads combinations, such as: working state with deadweight only, state under design wind pressure, etc.

[0108] 6. Static analysis

[0109] Under each simulation scheme, the static effect analysis of the whole wall and each component is carried out to obtain the internal force distribution of the wall and the support reaction force, stress and displacement results of each glass plate.

[0110] 7. Optimize iteration

[0111] Compare the calculation results of each simulation scheme to locate the area with large structural stress. Modify the material, size, connection method and other parameters of the relevant components and repeat the simulation calculation until the internal force of the structure meets the requirements.

[0112] 8. Identification of wearing parts

[0113] By combining the calculation results under various working conditions, key components with large stress in the structure can be identified. Determine the vulnerable locations and provide a basis for material use and maintenance.

[0114] 4. In the manufacturing stage, the specific implementation method of obtaining the maximum value of the stress index of each glass plate is as follows:

[0115] The specific implementation of step S10 is as follows:

[0116] 1. Test glass plate selection

[0117] According to the glass plates used in the project, select glass plates of the same specifications as the test plates. Prepare several test plates of appropriate sizes and mark and code them.

[0118] 2. Loading system design

[0119] A controllable pressure loading system is designed to make the loading force act evenly on the test plate. The loading system uses a motor-driven screw mechanism and a precision force sensor to measure the real-time pressure.

[0120] 3. Monitoring system configuration

[0121] Arrange an image monitoring device above the loading system with a resolution of no less than 100 pixels / cm. Adjust the field of view to ensure that the stress spots of the test board can be fully recorded.

[0122] 4. Pressure loading scheme

[0123] The graded loading method was adopted, and image acquisition began 2 minutes after each level of pressure was applied. The load was divided into 10 levels until failure. The loading rate was controlled to increase by 10% at each level compared with the previous level.

[0124] 5. Image Acquisition

[0125] During the loading process, the monitoring system continuously takes photos and videos of the test board at a frequency of 1Hz, and a polarized lens is added in front of the camera lens. The pressure sensor synchronously collects real-time pressure data.

[0126] 6. Image Processing

[0127] Algorithms are used to perform image denoising, contrast enhancement and other processing, identify stress spot areas, and calibrate their size and shape parameters.

[0128] 7. Data Entry

[0129] The processed images and the corresponding pressure values ​​and time stamps are recorded in the database to form a test data set.

[0130] The specific implementation of step S20 is as follows:

[0131] 1. Loading test

[0132] On the test glass plate sample, a loading test with increasing pressure is carried out. The loading rate is controlled so that the pressure acts evenly for 2 minutes in each stage.

[0133] 2. Light scattering determination

[0134] During the loading process, the image processing algorithm is used to determine whether the test plate has obvious light scattering. The pressure value P1 when the light scattering begins is recorded.

[0135] 3. Destruction determination

[0136] Continue to increase the pressure loading, observe and record the pressure value P2 when the test plate is destroyed (fragmented)

[0137] 4. Pressure value selection

[0138] Compare the magnitudes of P1 and P2:

[0139] If P1 < P2, then take P1 as the base maximum pressure value;

[0140] If P1 > P2, then take P2 as the base maximum pressure value.

[0141] 5. Maximum pressure setting

[0142] Take 80% of the above base maximum pressure value as the maximum operating pressure P of the test glass plate max .

[0143] That is: P max = 0.8 * base maximum pressure value.

[0144] The specific implementation of step S30 is as follows:

[0145] 1. Import of test data set

[0146] Import the complete test data set obtained in step S10, including the stress pattern images and pressure values corresponding to each pressure level.

[0147] 2. Pressure screening

[0148] Traverse the test data set and delete all data with pressure values greater than the maximum operating pressure P determined in step S20 max .

[0149] 3. Image preprocessing

[0150] Preprocess the stress pattern images in the remaining data, including grayscale conversion, denoising, contour detection, etc., to obtain the stress pattern regions.

[0151] 4. Feature extraction

[0152] Calculate the morphological features of each stress pattern region, such as area, perimeter, circularity, etc., to construct a feature vector.

[0153] 5. Distance calculation

[0154] Define a distance metric method between the feature of a stress pattern region, and the Euclidean distance can be used.

[0155] 6. Specify the number of clusters

[0156] According to the experimental sample size and the number of categories, specify the number of cluster centers M, for example, take 10 cluster centers.

[0157] 7. Cluster analysis

[0158] Adopting the neighbor-joining clustering algorithm, all stress spots are analyzed with the specified distance measurement method to obtain M cluster centers.

[0159] 8. Central preservation

[0160] The M cluster center stress spots and their eigenvectors obtained by clustering are retained as representative samples of the pressure image.

[0161] 9. Result Output

[0162] Output the data subset after pressure screening, as well as a new data set consisting of stress spot feature vectors and M cluster centers.

[0163] The specific implementation of step S40 is as follows:

[0164] 1. Import cluster center image

[0165] The representative central stress spot images of the M clusters obtained in step S30 are imported.

[0166] 2. Image Standardization

[0167] Adjust the image size to a uniform size, such as 200×200 pixels, to ensure comparability of samples from each center.

[0168] 3. Frequency Domain Conversion

[0169] The standardized central image is subjected to fast Fourier transform and converted into the frequency domain to obtain the spectrum diagram.

[0170] 4. Spectrum processing

[0171] The spectrum graph is filtered and smoothed to eliminate noise and highlight the main frequency components.

[0172] 5. Feature extraction

[0173] Image features such as texture features, edge features, shape features, etc. are extracted from the spectrum graph to construct a feature vector.

[0174] 6. Construct feature matrix

[0175] Extract feature vectors from each cluster center image and integrate them into a feature matrix F k , where k = 1, 2, ...M.

[0176] Right now:

[0177] F k =[f k1 ,f k2 ,...,f kn ]

[0178] Among them, f kirepresents the i-th feature of the k-th cluster center.

[0179] 7. Feature Selection

[0180] According to the contribution, the top N features that best represent the image information are selected from a large number of features.

[0181] 8. Result Output

[0182] Finally, we obtain the image feature matrix {F1, F2, ..., F M}.

[0183] The specific implementation of step S50 is as follows:

[0184] 1. Feature matrix import

[0185] Import the image feature matrix {F1, F2, ..., F M}.

[0186] 2. Feature Normalization

[0187] The eigenvectors in each matrix are normalized and the eigenvalues ​​are mapped to the range of 0-1.

[0188] Let the i-th feature in the k-th feature matrix be f ki ,implement:

[0189]

[0190] Get the normalized feature matrix {F′1,F′2,...,F′ M}.

[0191] 3. Weight setting

[0192] According to the image information corresponding to the feature vector, set the weights w of different features i , indicating the corresponding stress magnitude.

[0193] 4. Linear superposition

[0194] For each type of characteristic matrix, weighted superposition is performed to calculate the stress index:

[0195] I k =w1f′ k1 +w2f′ k2 +...+w n f′ kn

[0196] 5. Percentage conversion

[0197] The stress index I of each cluster center kNormalized to percent:

[0198]

[0199] Among them, min(I) and max(I) represent the minimum and maximum values ​​of all cluster center indices.

[0200] 6. Index output

[0201] Finally, the stress index SI corresponding to M categories is obtained k The percentage result of .

[0202] 7. Create an index table

[0203] The pressure level corresponding to each cluster center and the calculated stress index are recorded, and a corresponding relationship table between pressure and stress index is established as the subsequent stress index.

[0204] 5. Installation phase:

[0205] 1. Construction plan preparation

[0206] Determine the installation plan for the multi-curved curtain wall, including the lifting and hoisting position, assembly sequence, temporary support, etc. Prepare a detailed construction plan.

[0207] 2. On-site environmental monitoring

[0208] Monitor environmental parameters such as temperature, humidity, wind pressure, etc. at the construction site to determine whether it is suitable for installation operations.

[0209] 3. Glass plate inspection

[0210] Lift the glass plates into position according to the pre-numbered positions. Use a loading device to apply pressure and test the stress level of the plates.

[0211] 4. Stress monitoring

[0212] The stress spot situation during loading is analyzed through image recognition algorithm, the stress index is calculated, and then converted into stress value according to the pre-built index.

[0213] 5. Maximum stress comparison

[0214] The stress value obtained by monitoring is compared with the maximum stress calculated by simulation. If the stress exceeds the maximum stress, the plate is judged to be unqualified.

[0215] 6. Plate replacement

[0216] Mark the unqualified glass sheets and remove them using lifting equipment. Notify the production department to remake and replace the sheet.

[0217] 7. Installation and construction

[0218] Use a crane to hoist the qualified glass panels into place, and the assemblers will connect, adjust and fix them to ensure the sealing between the panels.

[0219] 8. Stress monitoring

[0220] During the installation process, the stress of each plate is continuously monitored and adjusted when necessary to prevent excessive stress.

[0221] 9. Quality Inspection

[0222] The installation quality is inspected layer by layer to ensure that the connection is firm, there is no stress concentration, and there are no defects in the appearance.

[0223] The steps of stress monitoring and maximum stress comparison specifically include:

[0224] 1) Loading test device

[0225] Use a controllable pressure loading system to ensure that the test pressure acts evenly on the installed glass panel.

[0226] 2) Image monitoring configuration

[0227] A high-resolution image acquisition system is set above the loading system to capture the stress spot information of the glass plate.

[0228] 3) Pressure loading

[0229] Apply pressure loading from zero, control the loading rate, and increase the pressure step by step.

[0230] 4) Real-time image acquisition

[0231] During the loading process, images of the glass plate are collected at a certain frequency (e.g., 1 frame every 10 seconds).

[0232] 5) Image processing

[0233] The collected images are processed by denoising, sharpening, closing operation and other image processing to extract the stress spot area.

[0234] 6) Stress spot analysis

[0235] Calculate the size and shape characteristics of each stress spot and construct the characteristic vector of the stress spot.

[0236] 7) Feature correspondence

[0237] According to the pre-built stress index table, find the stress level corresponding to the pressure level that best matches the stress spot characteristics.

[0238] 8) Stress monitoring

[0239] Repeat the above process, monitor the stress magnitude at each pressure level in real time, and generate a stress-pressure curve.

[0240] 9) Maximum stress extraction

[0241] Extract the maximum stress value σ from the stress-pressure curve test .

[0242] 10) Threshold comparison

[0243] The maximum stress σ obtained will be monitored test The maximum stress σ calculated by simulation max for comparison.

[0244] 11) Qualification determination

[0245] If σ test ≤σ max , the glass plate is judged to be qualified; otherwise, it is judged to be unqualified.

[0246] 6. Inspection stage: After installation, the multi-curved curtain wall is inspected to meet the building requirements, including the following standards:

[0247] 1. Determination of testing standards

[0248] According to relevant specifications and technical requirements of the project contract, the inspection standards and limits of various performance indicators of the curtain wall are clarified, such as airtightness, compressive strength, stability and other indicators.

[0249] 2. Development of testing plan

[0250] Relevant testing agencies shall refer to the specification requirements to determine the testing items, methods and instruments for multi-curved curtain walls and form a testing plan.

[0251] 3. On-site environmental monitoring

[0252] Before testing, the on-site environmental conditions are monitored, such as temperature, humidity, wind speed and direction, as a basis for testing.

[0253] 4. Airtightness test

[0254] The air tightness test of the curtain wall is carried out using the pressurization method to detect whether its air tightness index meets the requirements under a given pressure difference.

[0255] 5. Compressive strength test

[0256] Increase the pressure difference between indoor and outdoor, record the deformation of the curtain wall under different pressure levels, and determine whether its strength meets the standard.

[0257] 6. Stability test

[0258] Load rain and wind pressure simulation loads to detect whether the wall displacement change is within the allowable range and meets the stability requirements.

[0259] 7. Leakage detection

[0260] Carry out manual observation and instrument inspection on the joints and frame joints to determine whether there are leakage defects.

[0261] 8. Other project testing

[0262] Carry out inspections on appearance quality, attachment structure and other items according to specifications and contract requirements.

[0263] 9. Testing and evaluation

[0264] Conduct qualification assessment on various indicators and form a test report. Rework the unqualified parts.

[0265] 10. Quality acceptance

[0266] The quality supervision party shall conduct a comprehensive acceptance and assessment of the project quality based on the inspection report.

[0267] Specifically, the principle of the present invention is: there are many ways to detect glass stress, and a commonly used method is to use a polarizer. Under a polarizer, due to the existence of stress, the glass will show colored stripes, and by observing the color and arrangement of these stripes, the stress distribution of the glass can be determined.

[0268] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A full-process construction method for a multi-curved curtain wall system, characterized in that: The following steps are involved: In the modeling stage, three-dimensional modeling of multi-curved curtain walls is carried out according to the architectural design; During the design phase, the multi-curved curtain wall was divided into a skeleton and multiple glass panels according to the design drawings; In the simulation stage, force simulation analysis is performed on each glass plate; During the manufacturing phase, the multi-curved curtain wall is manufactured based on the results of the stress simulation analysis, and the maximum stress index of each glass panel is obtained; During the installation phase, the frame and glass panels are installed, and the stress index of each glass panel is tested during the installation process. If the stress index exceeds the maximum value, the glass panel is remanufactured and installed; During the inspection phase, after installation, the multi-curved curtain wall is inspected to ensure it meets the architectural requirements; The step of obtaining the maximum value of the stress index of each glass plate is as follows: S10, when applying a gradually increasing vertical pressure to the test glass plate, recording the vertical pressure and the corresponding stress spot image to form a test data set, wherein the test glass plate and the glass plate used for building the curtain wall are glass plates of the same material and thickness; S20, recording the vertical pressure value when the test glass plate scatters light or breaks, which are recorded as the light scattering pressure value and the breaking pressure value respectively, and taking 80% of the smaller value of the two as the maximum pressure value; S30, deleting data in the test data set whose pressure value is greater than the maximum pressure value, and clustering all stress spot images in the test data set into M cluster centers; S40, extracting image features of each cluster center to obtain M image feature matrices; S50, assigning percentages to the obtained M image feature matrices as stress indices; Among them, M>10; The step of deleting data with pressure values ​​greater than the maximum pressure value in the test data set and clustering all stress spot images in the test data set into M cluster centers is specifically: Import the complete stress-image test dataset; Screen out the over-limit data according to the maximum pressure value; Image processing identifies stress spot areas; Extracting image features of each stress spot; defining a distance metric between features of the stress spot region; All stress spots were analyzed using a clustering algorithm; Get M representative cluster centers; The step of extracting the image features of each cluster center to obtain M image feature matrices is specifically as follows: Input the image of M cluster centers obtained by clustering; Convert the central image into frequency domain; Extract image feature vector from the spectrogram; Construct an image feature matrix for each center; Select the main features to construct the feature vector.

2. The full-process construction method of a multi-curved curtain wall system according to claim 1, characterized in that: The step of recording the vertical pressure and the corresponding stress spot image to form a test data set when gradually increasing vertical pressure is applied to the test glass plate is specifically: Prepare test glass plates of the same specifications; Design a controllable loading test system; Configure a high-resolution image monitoring system and load a polarizing filter on the camera of the image monitoring system; Apply different levels of pressure until the glass breaks; Continuously collect stress spot images during loading; Form a stress-image test dataset.

3. The full-process construction method of a multi-curved curtain wall system according to claim 2 is characterized in that: The step of recording the vertical pressure value when the test glass plate scatters light or breaks, respectively recording it as the light scattering pressure value and the breaking pressure value, and taking 80% of the smaller value of the two as the maximum pressure value, is specifically: Loading test to observe light scattering and failure pressure; Record the pressure value P1 at which light scattering begins; Record the pressure value P2 when the glass breaks; Compare P1 and P2 and take the smaller value; 80% of the smaller pressure value is taken as the maximum operating pressure.

4. The full-process construction method of a multi-curved curtain wall system according to claim 3 is characterized in that: The step of assigning percentages to the obtained M image feature matrices as stress indexes is specifically as follows: Normalize the M image feature matrices; Set weights for different features based on experience; Perform weighted superposition on feature vectors; Calculate the stress index corresponding to each category; Generate a pressure-stress index correspondence table.

5. The full-process construction method of a multi-curved curtain wall system according to claim 4 is characterized in that: M=100。

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