A bending process for producing glass curtain walls

Abstract

The present invention relates to the technical field of bending processing, and discloses a bending process for glass curtain wall production, including the following steps: selecting glass material and cutting it into a preset size; heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and making the softened glass fit the mold under the action of gravity to form a desired curved surface; placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass; collecting image data of the initially formed glass curtain wall, using image recognition technology to detect the shape and surface quality of the glass curtain wall, and selecting the glass curtain wall that meets the design requirements for coating according to the detection results, and completing the bending process of the glass curtain wall. The present invention solves many technical problems in the traditional glass curtain wall production process, and significantly improves the production quality, detection efficiency and production automation level of the glass curtain wall.

Description

Technical Field

[0001] The invention relates to the technical field of bending processing, and in particular to a bending process for producing a glass curtain wall. Background Art

[0002] As an important part of modern architecture, glass curtain walls are not only an important embodiment of the aesthetics of the building facade, but also bear multiple functions such as heat insulation, waterproofing, sound insulation, windproofing, lighting, etc. Therefore, the appearance flatness, surface shape accuracy and surface quality of the glass curtain wall have a direct impact on the overall aesthetics, functionality and service life of the building. However, in the actual production process, the production process of glass curtain walls is complex and has extremely high requirements for quality control, especially in the bending and forming process, surface defect detection and overall quality classification. The traditional process still has the following shortcomings:

[0003] 1) Low defect detection efficiency: In the traditional glass curtain wall production process, the detection of glass surface defects mainly relies on manual visual observation. During the inspection process, workers need to use light sources or simple inspection tools to check the scratches, cracks, bubbles, stains and other defects on the glass surface piece by piece. Due to the high intensity and time consumption of manual inspection, the inspection efficiency is extremely low, especially in large-scale production scenarios. This method is difficult to meet the efficiency requirements of modern industry. At the same time, manual inspection is affected by the workers' experience, subjective judgment and fatigue state, and it is very easy to miss or misdetect. Some subtle defects that may affect the quality of the glass are often difficult to detect, which may eventually lead to an increase in the product failure rate. In addition, different inspectors may have different judgment criteria for the same defect, further weakening the consistency and reliability of the inspection results.

[0004] 2) Unable to achieve refined quality classification: The comprehensive accuracy of the size, curvature and surface quality of the glass curtain wall is the core standard for measuring whether the product meets the design requirements. However, traditional testing processes are mostly based on single-item testing, and can often only roughly evaluate a certain indicator of the glass, such as whether the size or curvature meets the standard, but cannot comprehensively analyze and compare multiple parameters at the same time. This single testing method leads to extensive product quality classification and cannot meet the high-precision needs of modern buildings. Especially in the production of complex curved glass, due to the lack of the ability of traditional processes to comprehensively analyze curvature changes, three-dimensional shape deviations and surface defects, the test results cannot accurately reflect whether the glass fully meets the design standards. This will not only affect the appearance and installation accuracy of the product, but may also reduce the service life and safety of the curtain wall.

[0005] Therefore, the present invention proposes a bending process for producing a glass curtain wall. Summary of the invention

[0006] In view of the problems in the related art, the present invention proposes a bending process for glass curtain wall production to overcome the above technical problems existing in the existing related art.

[0007] To this end, the specific technical solution adopted by the present invention is as follows:

[0008] A bending process for producing a glass curtain wall comprises the following steps:

[0009] S1. Select the corresponding glass material according to the design requirements of the glass curtain wall, cut it into preset sizes, and clean the cut glass surface;

[0010] S2, placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface;

[0011] S3, placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass to obtain a preliminarily formed glass curtain wall;

[0012] S4. Collect image data of the initially formed glass curtain wall, use image recognition technology to detect the shape and surface quality of the glass curtain wall, and select the glass curtain wall that meets the design requirements for coating treatment based on the test results to complete the bending process of the glass curtain wall.

[0013] Preferably, the step of placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface comprises the following steps:

[0014] S21. Place the cleaned glass on the support or high temperature resistant tray of the heat treatment furnace, and adjust the position of the glass to ensure that the glass is evenly heated in the furnace;

[0015] S22, setting a heating program of the heat treatment furnace to slowly heat the glass to the softening temperature of the glass, and monitoring the softening state of the glass in real time through an observation window in the furnace;

[0016] S23, taking the softened glass out of the heat treatment furnace using a special high temperature resistant fixture, and quickly placing the softened glass in a pre-prepared mold, adjusting the position of the glass to ensure that it corresponds to the curved surface shape of the mold;

[0017] S24. Under the action of gravity, the softened glass is gradually attached to the mold surface to form a desired curved shape, and the glass and the mold are kept attached for a preset time to ensure that the glass is fully formed and cooled to a certain hardness.

[0018] Preferably, in step S22, when slowly heating the glass to its softening temperature, the glass is first preheated to 400°C-500°C, and then slowly heated to 600°C-750°C; in step S23, the pre-prepared mold is made of high temperature resistant metal or ceramic material.

[0019] Preferably, the step of placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass to obtain a preliminarily formed glass curtain wall comprises the following steps:

[0020] S31, placing the bent glass in a temperature-controllable annealing furnace to slowly cool to room temperature, and taking the glass out of the annealing furnace after the annealing process is completed;

[0021] S32. Use grinding equipment to smooth the edges of the annealed and cooled glass to remove sharp burrs or irregular edges.

[0022] Preferably, the image data of the initially formed glass curtain wall is collected, the shape and surface quality of the glass curtain wall are detected by using image recognition technology, and the glass curtain wall that meets the design requirements is selected for coating treatment according to the detection results, and the bending process of the glass curtain wall is completed, which includes the following steps:

[0023] S41, placing the initially formed glass curtain wall on a preset detection platform, and using an image acquisition device to scan the shape and surface of the glass to obtain an image of the glass curtain wall;

[0024] S42, using an image recognition algorithm to detect the curvature and size data of the glass curtain wall, and performing a comparison analysis between the detection result and the preset standard shape data;

[0025] S43, using image recognition technology to detect defects on the surface of the glass curtain wall, automatically marking the location and area of ​​the defects, and generating a defect distribution map;

[0026] S44. Classify the glass curtain wall into qualified products and unqualified products according to the comparison result between the test result and the preset quality standard;

[0027] S45. Select qualified products for surface cleaning, and transfer the cleaned glass curtain wall to the dust-free coating workshop for coating treatment to complete the bending process of the glass curtain wall.

[0028] Preferably, the method of detecting the curvature and size data of the glass curtain wall by using an image recognition algorithm and performing a comparison analysis between the detection result and the preset standard shape data comprises the following steps:

[0029] S421, performing denoising and contrast enhancement processing on the acquired glass curtain wall image, and extracting the edge contour of the glass curtain wall using an image processing algorithm;

[0030] S422, analyzing the edge contour of the glass curved surface, calculating its curvature by fitting a quadratic or cubic curve, measuring the length, width, height and thickness data of the glass curtain wall according to the pixel scale or three-dimensional point cloud data, and generating three-dimensional shape data of the glass curtain wall according to the detected curvature and contour;

[0031] S423, aligning the coordinate system of the generated three-dimensional shape data of the glass curtain wall with the preset standard data, comparing the deviation between the actual size and the standard size, and calculating the error range; comparing the actual curvature value with the standard curvature value, generating a curvature error distribution map; generating the detection results of the size deviation and the curvature error.

[0032] Preferably, the method of detecting defects on the surface of the glass curtain wall by using image recognition technology, automatically marking the location and area of ​​the defects, and generating a defect distribution map comprises the following steps:

[0033] S431, performing denoising, contrast enhancement and image segmentation processing on the acquired glass curtain wall image, and using an image recognition algorithm to identify defective areas in the glass curtain wall image;

[0034] S432, extracting the area, quantity and distribution density of the defect region, and marking the area, quantity and distribution density of the defects on the glass curtain wall image using polygonal contours to generate a defect distribution map.

[0035] Preferably, the method of identifying defective areas in the glass curtain wall image by using an image recognition algorithm comprises:

[0036] Use edge detection algorithms to identify scratches or cracks on the surface of glass curtain walls;

[0037] Detect bubbles or defects in specific patterns on the surface of glass curtain walls through template matching algorithms;

[0038] Based on the threshold segmentation algorithm, stains or light spots on the surface of the glass curtain wall are identified and abnormal areas are separated.

[0039] Preferably, the step of classifying the glass curtain walls into qualified products and unqualified products according to the comparison results between the test results and the preset quality standards comprises the following steps:

[0040] S441. Obtaining the size deviation, curvature error, defect area, defect quantity and defect distribution density data of the glass curtain wall;

[0041] S442, comparing the size deviation of the glass curtain wall with a preset size deviation threshold range, and the curvature error with a preset curvature error threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a shape-based detection result is obtained.

[0042] S443, comparing the defect area of ​​the glass curtain wall with a preset defect area threshold range, the defect number with a preset defect number threshold range, and the defect distribution density with a preset distribution density threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a quality-based inspection result is obtained.

[0043] S444. Integrate the shape-based test results and the quality-based test results. When both are judged as qualified products, the glass curtain wall is judged as a qualified product. Otherwise, the glass curtain wall is an unqualified product.

[0044] Compared with the prior art, the present invention provides a bending process for glass curtain wall production, which has the following beneficial effects:

[0045] (1) The present invention proposes a bending process for glass curtain wall production, which combines image recognition technology and automated detection means to optimize the entire process of curved surface forming, surface detection, quality classification and coating treatment of glass curtain walls, thereby solving many technical problems in the traditional glass curtain wall production process and significantly improving the production quality, detection efficiency and production automation level of glass curtain walls.

[0046] (2) The present invention adopts staged heating and real-time monitoring of the softening state during the heat treatment process, combined with high-precision molds and gravity forming technology, to make the glass fit the mold surface shape more accurately, ensuring that the shape of the glass after bending meets the design requirements.

[0047] (3) The present invention utilizes image recognition technology, combined with edge detection, template matching and threshold segmentation algorithms, to quickly and accurately detect defects such as scratches, bubbles, stains, etc. on the glass surface, and automatically marks the location and size of the defects, generates a distribution map, reduces human errors, and improves detection efficiency and accuracy.

[0048] (4) The present invention can accurately classify qualified and unqualified products by comprehensively comparing parameters such as dimensional deviation, curvature error, defect area, quantity and distribution density with preset standards, ensuring that each glass curtain wall meets high-standard design requirements.

[0049] (5) The present invention monitors and optimizes the quality of the entire process of curved surface forming and surface inspection, so that the final produced glass curtain wall reaches a high level in terms of dimensional accuracy, curvature consistency and surface finish, meeting the stringent requirements of modern buildings for glass curtain walls. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0051] Figure 1 The present invention is a flow chart of a bending process for producing a glass curtain wall according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] According to an embodiment of the present invention, a bending process for producing a glass curtain wall is provided.

[0054] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to one embodiment of the present invention, a bending process for producing a glass curtain wall is provided, comprising the following steps:

[0055] S1. Select the corresponding glass material according to the design requirements of the glass curtain wall, cut it into the preset size, and clean the cut glass surface, including:

[0056] Material selection: Choose the appropriate type of glass (such as ordinary glass, tempered glass, laminated glass, etc.) according to design requirements.

[0057] Size cutting: Cut the glass to the specific size of the design to ensure there are no chips or cracks on the edges.

[0058] Surface cleaning: Use a detergent or special cleaning equipment to thoroughly clean the glass surface to remove oil, dust and impurities.

[0059] S2, placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface;

[0060] The step of placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface includes the following steps:

[0061] S21. Place the cleaned glass on the support or high temperature resistant tray of the heat treatment furnace, and adjust the position of the glass to avoid its edge contacting the furnace wall, prevent local overheating or damage, and ensure that the glass is heated evenly in the furnace;

[0062] S22, setting a heating program of the heat treatment furnace to slowly heat the glass to the softening temperature of the glass, and monitoring the softening state of the glass in real time through the observation window in the furnace to ensure that the glass reaches the softening point (the surface of the glass begins to sink but does not flow excessively) for the next operation;

[0063] Specifically, in step S22, when the glass is slowly heated to its softening temperature, the glass is first preheated to 400°C-500°C. The purpose of preheating is to allow the glass to reach a softened state suitable for bending, while preventing the glass from breaking due to sudden heating and cooling. The temperature is then slowly raised to 600°C-750°C.

[0064] S23, taking the softened glass out of the heat treatment furnace using a special high temperature resistant fixture (pay attention to evenly supporting the glass during operation to prevent shape deformation or damage due to gravity), and quickly placing the softened glass in a pre-prepared mold, adjusting the position of the glass to ensure that it corresponds to the curved surface shape of the mold;

[0065] Specifically, in step S23, the pre-prepared mold is made of high temperature resistant metal or ceramic material, and in the process of designing the mold, it is necessary to ensure that the mold surface is smooth and has good matching with the glass contact surface.

[0066] S24, under the action of gravity, the softened glass is gradually attached to the mold surface to form a desired curved shape, and the glass and the mold are kept attached for a preset time to ensure that the glass is fully formed and cooled to a certain hardness;

[0067] Specifically, the fluidity of the glass in a softened state is used to gradually fit the mold surface under the action of gravity to form the required curved shape; in addition, when the design requirements are complex, a mechanical arm or auxiliary tool can be used to adjust the local pressure of the glass to ensure that it fits the mold accurately. The glass and the mold are then kept in contact for a period of time to ensure that the glass is fully formed and cooled to a certain hardness to prevent displacement or rebound.

[0068] S3, placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass to obtain a preliminarily formed glass curtain wall;

[0069] The step of placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass to obtain a preliminarily formed glass curtain wall comprises the following steps:

[0070] S31, placing the bent glass in a temperature-controllable annealing furnace and slowly cooling it to room temperature, and taking the glass out of the annealing furnace after the annealing process is completed, specifically comprising:

[0071] 1) Place the bent glass in a preset environment:

[0072] Carefully place the bent glass removed from the mold in the annealing cooling equipment or designated cooling area; ensure that the glass is supported on a stable surface or a special bracket to avoid shape deformation due to its own weight or improper operation.

[0073] 2) Annealing and cooling treatment:

[0074] Purpose of annealing: To release the internal stress of the glass generated during heating and bending, so as to avoid self-explosion or cracking during subsequent use;

[0075] Cooling process: Place the glass in a temperature-controlled annealing furnace; gradually reduce the temperature of the glass, slowly cooling it from the softening temperature (about 600°C) to room temperature. The process usually takes several hours.

[0076] Note: The cooling speed must be uniform to prevent the glass from generating new internal stress due to uneven cooling; the ambient temperature and cooling procedure must be adjusted according to the glass material.

[0077] 3) Take out the annealed glass:

[0078] When the glass has completely cooled to room temperature and the annealing process is completed, remove the glass from the annealing equipment; handle it with care to avoid edge damage or cracks caused by improper operation.

[0079] S32, using a grinding device to smooth the edge of the annealed and cooled glass to remove sharp burrs or irregular edges, specifically including:

[0080] 1) Grinding the edges of the annealed and cooled glass:

[0081] Grinding tools: Use a dedicated edge grinder or grinding wheel tool, combined with a water cooling system, to avoid damage to the glass due to high temperature friction.

[0082] Grinding method: Smooth the edges of the glass and remove sharp burrs or irregular edges. Ensure that the edges of the glass are smooth, free of cracks and chips after grinding.

[0083] Precision requirements: The smoothness of the edges must meet safety and aesthetic requirements, especially to avoid stress concentration during subsequent installation.

[0084] 2) Preliminary inspection:

[0085] Check whether the annealed, cooled and polished glass maintains the designed shape and size; confirm that there are no cracks, defects or deformations on the glass surface to ensure that it meets the initial molding requirements.

[0086] S4. Collect image data of the initially formed glass curtain wall, use image recognition technology to detect the shape and surface quality of the glass curtain wall, and select the glass curtain wall that meets the design requirements for coating treatment based on the test results to complete the bending process of the glass curtain wall.

[0087] The collecting of image data of the initially formed glass curtain wall, detecting the shape and surface quality of the glass curtain wall using image recognition technology, and selecting the glass curtain wall that meets the design requirements for coating treatment according to the detection results, and completing the bending treatment of the glass curtain wall include the following steps:

[0088] S41, placing the initially formed glass curtain wall on a preset detection platform, and using an image acquisition device to scan the shape and surface of the glass to obtain an image of the glass curtain wall;

[0089] Specifically, collecting image data of the glass curtain wall includes:

[0090] 1) Image acquisition equipment installation: Install a high-resolution industrial camera or scanner in the glass inspection area; equip it with appropriate light sources (such as ring light, parallel light, etc.) to ensure that the details of the glass surface are clearly visible during image acquisition.

[0091] 2) Glass positioning: Place the initially formed glass curtain wall stably on the designated inspection platform, and adjust its position and angle so that the image acquisition device can cover the entire glass surface.

[0092] 3) Image acquisition: Use the image acquisition system to scan the shape and surface of the glass to obtain high-resolution image data; transmit the data to the central control system for subsequent analysis.

[0093] S42, using an image recognition algorithm to detect the curvature and size data of the glass curtain wall, and performing a comparison analysis between the detection result and the preset standard shape data;

[0094] Specifically, the method of detecting the curvature and size data of the glass curtain wall by using an image recognition algorithm and comparing the detection results with the preset standard shape data includes the following steps:

[0095] S421, performing denoising (using a filtering algorithm to remove noise in the image) and contrast enhancement (increasing the contrast between the glass outline and the background) processing on the acquired glass curtain wall image, and extracting the edge outline of the glass curtain wall using an image processing algorithm (such as Canny edge detection);

[0096] S422, analyzing the edge contour of the glass curved surface, calculating its curvature by fitting a quadratic or cubic curve, measuring the length, width, height and thickness data of the glass curtain wall according to the pixel scale or three-dimensional point cloud data, and generating three-dimensional shape data of the glass curtain wall according to the detected curvature and contour;

[0097] 1. Fitting a quadratic or cubic curve to calculate curvature:

[0098] 1) Curve fitting: Fit the extracted edge contour points:

[0099] Quadratic curve fitting: suitable for simple parabolic edges;

[0100] Cubic curve fitting: suitable for complex surfaces;

[0101] Use the least squares method to fit the edge point data and determine the parameters of the fitting curve;

[0102] 2) Curvature calculation: Calculate the curvature of the fitted curve;

[0103] 3) Curvature distribution: Calculate the curvature of each point on the contour and generate a curvature distribution map to determine whether the glass edge meets the design requirements;

[0104] 2. Measure the length, width, height and thickness of the glass curtain wall:

[0105] 1) Pixel scale conversion: convert the pixel distance on the image to the actual physical distance based on the resolution of the image acquisition device and the physical size and pixel ratio of the glass detection area;

[0106] 2) Dimension measurement:

[0107] Length and width: Calculate the length and width of the glass by the maximum bounding box of the edge contour;

[0108] Thickness: If using 3D point cloud data, analyze the distance between point cloud layers on the upper and lower surfaces of the glass and calculate the average thickness; if using 2D images, analyze the cross-sectional thickness in combination with the edge profile.

[0109] Height (curved surface height): Calculate the highest and lowest points of the curved glass to determine the maximum arc height of the glass;

[0110] 3. Generate 3D shape data of glass curtain wall:

[0111] 1) Data integration: Integrate the curvature distribution, edge contour point data and measured length, width, height and thickness data to construct a three-dimensional shape model of the glass curtain wall.

[0112] 2) Point cloud processing (if using a 3D scanner):

[0113] Process the glass curtain wall point cloud data: use the fitting algorithm to generate the curved surface shape of the glass (such as B-spline fitting); build a complete three-dimensional shape model of the glass;

[0114] 3) Generate a 3D model: Use a CAD modeling tool (such as AutoCAD, SolidWorks) or a programming tool (such as Open3D, MATLAB) to convert the fitted edge profile and measurement data into a 3D model format (such as STL or OBJ file).

[0115] 4) Output results: Save the generated 3D shape data of the glass curtain wall as a digital file for comparison analysis or production guidance.

[0116] S423, aligning the coordinate system of the generated three-dimensional shape data of the glass curtain wall with the preset standard data, comparing the deviation between the actual size and the standard size, and calculating the error range; comparing the actual curvature value with the standard curvature value, generating a curvature error distribution map; generating the detection results of the size deviation and the curvature error.

[0117] S43, using image recognition technology to detect defects on the surface of the glass curtain wall, automatically marking the location and area of ​​the defects, and generating a defect distribution map;

[0118] Specifically, the method of using image recognition technology to detect defects on the surface of the glass curtain wall, automatically marking the location and area of ​​the defects, and generating a defect distribution map includes the following steps:

[0119] S431, performing denoising, contrast enhancement and image segmentation processing on the acquired glass curtain wall image, and using an image recognition algorithm to identify defective areas in the glass curtain wall image;

[0120] Contrast enhancement: Use image enhancement algorithms (such as histogram equalization) to increase the contrast between the glass surface and the defect area, making the defect features more prominent;

[0121] Image segmentation: The image is divided into uniform detection units through the partition segmentation algorithm to ensure that each area can be detected independently;

[0122] The method of identifying defective areas in the glass curtain wall image by using an image recognition algorithm comprises:

[0123] Use edge detection algorithms to identify scratches or cracks on the surface of glass curtain walls;

[0124] Detect bubbles or defects in specific patterns on the surface of glass curtain walls through template matching algorithms;

[0125] Identify stains or light spots on the surface of the glass curtain wall based on the threshold segmentation algorithm and separate abnormal areas;

[0126] S432, extracting the area, quantity and distribution density of the defect area, and marking the area, quantity and distribution density of the defects on the glass curtain wall image using polygonal contours to generate a defect distribution map, specifically including:

[0127] 1. Defect feature calculation:

[0128] 1) Area calculation: For each polygonal outline of the defect area, calculate its pixel area and convert it into the actual physical area according to the ratio of pixels to physical size;

[0129] The calculation formula for pixel area is:

[0130]

[0131] Where A represents the defect area, x i ,y i Respectively represent the horizontal and vertical coordinates of the i-th vertex of the polygon (in pixels), x i+1 ,y i+1 They represent the horizontal and vertical coordinates of the i+1th vertex of the polygon, and n represents the total number of vertices of the polygon;

[0132] 2) Quantity statistics: Count the total number of defective areas on the glass surface;

[0133] 3) Distribution density calculation: define the overall area of ​​the glass curtain wall and calculate the defect density; the defect density distribution in different areas can be further divided and calculated;

[0134] 2. Defect marking:

[0135] 1) Draw polygonal outlines: superimpose the polygonal outlines of each defect area on the original image to mark the defect location; label each defect area with a number for easy identification and recording;

[0136] 2) Annotation information: add area and location annotation information for each defect area;

[0137] 3) Color coding: Use different colors to mark the defects according to their severity (area size or type). For example: red for severe defects, yellow for medium defects, and green for minor defects;

[0138] 3. Generate defect distribution map:

[0139] 1) Superimpose distribution information: Superimpose the polygonal outlines and annotation information of all defects on the glass curtain wall image; the density distribution of defects can be displayed according to regional division (such as heat map form).

[0140] 2) Output distribution map: Save the generated defect distribution map as a high-resolution image file (such as PNG or JPEG); at the same time, save the defect feature data (area, number, density) as a parsable file format (such as CSV or JSON).

[0141] S44. Classify the glass curtain wall into qualified products and unqualified products according to the comparison result between the test result and the preset quality standard;

[0142] Specifically, the method of classifying the glass curtain wall into qualified products and unqualified products according to the comparison result between the test result and the preset quality standard includes the following steps:

[0143] S441. Obtaining the size deviation, curvature error, defect area, defect quantity and defect distribution density data of the glass curtain wall;

[0144] S442, comparing the size deviation of the glass curtain wall with a preset size deviation threshold range, and the curvature error with a preset curvature error threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a shape-based detection result is obtained.

[0145] S443, comparing the defect area of ​​the glass curtain wall with a preset defect area threshold range, the defect number with a preset defect number threshold range, and the defect distribution density with a preset distribution density threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a quality-based inspection result is obtained.

[0146] S444. Integrate the shape-based test results and the quality-based test results. When both are judged as qualified products, the glass curtain wall is judged as a qualified product. Otherwise, the glass curtain wall is an unqualified product.

[0147] S45. Select qualified products for surface cleaning, and transfer the cleaned glass curtain wall to the dust-free coating workshop for coating treatment to complete the bending process of the glass curtain wall.

[0148] Specifically, the coating treatment of glass curtain walls that meet design requirements includes:

[0149] 1) Coating preparation: Clean the glass surface to ensure there is no residual dust, oil or impurities; transfer the glass to a dust-free coating workshop to avoid environmental pollution affecting the quality of the film.

[0150] 2) Select coating technology: Select appropriate coating technology (such as vacuum coating, sputtering coating, chemical vapor deposition, etc.) according to design requirements.

[0151] 3) Carry out coating process: In the coating equipment, the glass surface is evenly coated to give it functions such as UV protection, heat insulation or anti-glare.

[0152] 4) Film thickness control: By adjusting equipment parameters, ensure that the coating thickness is uniform and meets the design function and aesthetic requirements.

[0153] 5) Check and complete the bending process:

[0154] Post-coating inspection: Use image recognition or other detection methods again to ensure that the shape, surface quality and film uniformity of the coated glass meet the design requirements.

[0155] Finishing: Glass that has passed the final inspection is sorted and stored, ready for packaging or direct use in curtain wall installation.

[0156] In summary, with the help of the above-mentioned technical scheme of the present invention, by combining image recognition technology and automated detection means, the whole process of curved surface forming, surface detection, quality classification and coating treatment of glass curtain walls is optimized, which solves many technical problems in the traditional glass curtain wall production process and significantly improves the production quality, detection efficiency and production automation level of glass curtain walls.

[0157] In addition, the present invention adopts staged heating and real-time monitoring of the softening state during the heat treatment process, combined with high-precision molds and gravity forming technology, to make the glass fit the mold surface shape more accurately, ensuring that the shape of the glass after bending meets the design requirements.

[0158] In addition, the present invention utilizes image recognition technology, combined with edge detection, template matching and threshold segmentation algorithms, to quickly and accurately detect scratches, bubbles, stains and other defects on the glass surface, and automatically marks the defect location and size, generates a distribution map, reduces human errors, and improves detection efficiency and accuracy.

[0159] In addition, the present invention can accurately classify qualified and unqualified products by comprehensively comparing parameters such as dimensional deviation, curvature error, defect area, quantity and distribution density with preset standards, ensuring that each glass curtain wall meets high-standard design requirements.

[0160] In addition, the present invention monitors and optimizes the quality of the entire process of curved surface forming and surface inspection, so that the final produced glass curtain wall reaches a high level in terms of dimensional accuracy, curvature consistency and surface finish, meeting the stringent requirements of modern buildings for glass curtain walls.

[0161] The technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. A person of ordinary skill in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program. The program can be stored in a computer-readable storage medium. When the program is executed, it includes the steps described in the above method, and the storage medium, such as ROM / RAM, a disk, an optical disk, etc.

[0162] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A bending process for glass curtain wall production, characterized in that: The following steps are involved: S1. Select the corresponding glass material according to the design requirements of the glass curtain wall, cut it into preset sizes, and clean the cut glass surface; S2, placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface; S3, placing the bent glass in an annealing furnace for annealing and cooling, and performing edge grinding on the annealed and cooled glass to obtain a preliminarily formed glass curtain wall; S4. Collect image data of the initially formed glass curtain wall, use image recognition technology to detect the shape and surface quality of the glass curtain wall, and select the glass curtain wall that meets the design requirements for coating treatment based on the test results to complete the bending process of the glass curtain wall.

2. A bending process for producing a glass curtain wall according to claim 1, characterized in that: The process of placing the cleaned glass into a heat treatment furnace and heating it to a softening temperature, taking out the softened glass and placing it in a pre-prepared mold, and fitting the softened glass to the mold under the action of gravity to form a desired curved surface includes the following steps: S21. Place the cleaned glass on the support or high temperature resistant tray of the heat treatment furnace, and adjust the position of the glass to ensure that the glass is evenly heated in the furnace; S22, setting a heating program of the heat treatment furnace to slowly heat the glass to the softening temperature of the glass, and monitoring the softening state of the glass in real time through an observation window in the furnace; S23, taking the softened glass out of the heat treatment furnace using a special high temperature resistant fixture, and quickly placing the softened glass in a pre-prepared mold, adjusting the position of the glass to ensure that it corresponds to the curved surface shape of the mold; S24. Under the action of gravity, the softened glass is gradually attached to the mold surface to form a desired curved shape, and the glass and the mold are kept attached for a preset time to ensure that the glass is fully formed and cooled to a certain hardness.

3. A bending process for producing a glass curtain wall according to claim 2, characterized in that: In step S22, when slowly heating the glass to the softening temperature of the glass, the glass is first preheated to 400°C-500°C, and then slowly heated to 600°C-750°C.

4. A bending process for producing a glass curtain wall according to claim 2, characterized in that: In step S23, the pre-prepared mold is made of high temperature resistant metal or ceramic material.

5. The bending process for producing a glass curtain wall according to claim 1, characterized in that: Placing the bent glass in an annealing furnace for annealing and cooling, and grinding the edges of the annealed and cooled glass to obtain a preliminarily formed glass curtain wall comprises the following steps: S31, placing the bent glass in a temperature-controllable annealing furnace to slowly cool to room temperature, and taking the glass out of the annealing furnace after the annealing process is completed; S32. Use grinding equipment to smooth the edges of the annealed and cooled glass to remove sharp burrs or irregular edges.

6. The bending process for producing a glass curtain wall according to claim 1, characterized in that: The method includes collecting image data of the initially formed glass curtain wall, detecting the shape and surface quality of the glass curtain wall using image recognition technology, and selecting the glass curtain wall that meets the design requirements for coating treatment according to the detection results. The method includes the following steps to complete the bending treatment of the glass curtain wall: S41, placing the initially formed glass curtain wall on a preset detection platform, and using an image acquisition device to scan the shape and surface of the glass to obtain an image of the glass curtain wall; S42, using an image recognition algorithm to detect the curvature and size data of the glass curtain wall, and performing a comparison analysis between the detection result and the preset standard shape data; S43, using image recognition technology to detect defects on the surface of the glass curtain wall, automatically marking the location and area of ​​the defects, and generating a defect distribution map; S44. Classify the glass curtain wall into qualified products and unqualified products according to the comparison result between the test result and the preset quality standard; S45. Select qualified products for surface cleaning, and transfer the cleaned glass curtain wall to the dust-free coating workshop for coating treatment to complete the bending process of the glass curtain wall.

7. A bending process for producing a glass curtain wall according to claim 6, characterized in that: The method of detecting the curvature and size data of the glass curtain wall by using an image recognition algorithm and comparing the detection results with the preset standard shape data comprises the following steps: S421, performing denoising and contrast enhancement processing on the acquired glass curtain wall image, and extracting the edge contour of the glass curtain wall using an image processing algorithm; S422, analyzing the edge contour of the glass curved surface, calculating its curvature by fitting a quadratic or cubic curve, measuring the length, width, height and thickness data of the glass curtain wall according to the pixel scale or three-dimensional point cloud data, and generating three-dimensional shape data of the glass curtain wall according to the detected curvature and contour; S423, aligning the coordinate system of the generated three-dimensional shape data of the glass curtain wall with the preset standard data, comparing the deviation between the actual size and the standard size, and calculating the error range; comparing the actual curvature value with the standard curvature value, generating a curvature error distribution map; generating the detection results of the size deviation and the curvature error.

8. The bending process for producing a glass curtain wall according to claim 6, characterized in that: The method of using image recognition technology to detect defects on the surface of the glass curtain wall, automatically marking the location and area of ​​the defects, and generating a defect distribution map includes the following steps: S431, performing denoising, contrast enhancement and image segmentation processing on the acquired glass curtain wall image, and using an image recognition algorithm to identify defective areas in the glass curtain wall image; S432, extracting the area, quantity and distribution density of the defect region, and marking the area, quantity and distribution density of the defects on the glass curtain wall image using polygonal contours to generate a defect distribution map.

9. A bending process for producing a glass curtain wall according to claim 8, characterized in that: The method of identifying defective areas in the glass curtain wall image by using an image recognition algorithm comprises: Use edge detection algorithms to identify scratches or cracks on the surface of glass curtain walls; Detect bubbles or defects in specific patterns on the surface of glass curtain walls through template matching algorithms; Based on the threshold segmentation algorithm, stains or light spots on the surface of the glass curtain wall are identified and abnormal areas are separated.

10. The bending process for producing a glass curtain wall according to claim 6, characterized in that: The method of classifying the glass curtain wall into qualified products and unqualified products according to the comparison result between the test result and the preset quality standard comprises the following steps: S441. Obtaining the size deviation, curvature error, defect area, defect quantity and defect distribution density data of the glass curtain wall; S442, comparing the size deviation of the glass curtain wall with a preset size deviation threshold range, and the curvature error with a preset curvature error threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a shape-based detection result is obtained. S443, comparing the defect area of ​​the glass curtain wall with a preset defect area threshold range, the defect number with a preset defect number threshold range, and the defect distribution density with a preset distribution density threshold range. When all comparison results meet the preset threshold range, the glass curtain wall is preliminarily determined to be a qualified product. Otherwise, the glass curtain wall is an unqualified product, and a quality-based inspection result is obtained. S444. Integrate the shape-based test results and the quality-based test results. When both are judged as qualified products, the glass curtain wall is judged as a qualified product. Otherwise, the glass curtain wall is an unqualified product.

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