Measuring device for processing hyperbolic aluminum plate

Abstract

The invention relates to the technical field of curtain walls, and discloses a measuring device for processing a hyperbolic aluminum plate. Comprising a detection truss body used for providing a movable supporting structure; the laser detection instrument is mounted on the detection truss body and is used for performing three-dimensional scanning on the hyperbolic aluminum plate and generating point cloud data; the reference correction instrument is used for calibrating and detecting the reference position of the truss body; the control module is used for scanning a ground plane reference corresponding to the measuring device for machining through a reference correction instrument, and obtaining an X-axis deviation value and a Y-axis deviation value of the detection truss body and the ground plane reference and a Z-axis deviation value corresponding to the detection truss body; according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value, a reference correction instrument is controlled to calibrate and detect the reference position of the truss body; and controlling the laser detection instrument to walk according to a preset path, executing a scanning program to generate a three-dimensional format file, and performing fitting comparison on the three-dimensional format file and a design model corresponding to the hyperbolic aluminum plate to complete three-dimensional shape detection of the hyperbolic aluminum plate.

Description

Technical Field

[0001] The present application relates to the field of curtain wall technology, and in particular to a measuring device for processing hyperbolic aluminum plates. Background Art

[0002] Existing inspection technologies for hyperbolic aluminum plates mainly rely on manual operation or specific inspection tools. Manual operation usually involves visual inspection and the use of gauges (such as calipers and angle gauges) to measure the size and shape of the aluminum plate. Customized jig inspection uses specially designed fixtures or templates that are manufactured according to the expected shape and size of the aluminum plate to check whether the aluminum plate meets the specified geometric parameters.

[0003] Customized jigs are usually made of materials such as wood, aluminum or rubber, and can simulate the shape of hyperbolic aluminum plates to facilitate shape and size comparison. In mass production, these jigs can reduce the time of manual measurement and improve the consistency of detection. However, for hyperbolic aluminum plates with complex or irregular shapes, customized jigs are expensive to make and have low flexibility. Although the existing technology can meet the detection needs of hyperbolic aluminum plates to a certain extent, it has the following problems and disadvantages:

[0004] 1. The efficiency and accuracy of manual operation are limited: Manual testing relies on the operator’s experience and skills and is easily affected by factors such as subjective judgment and fatigue, resulting in low accuracy of test results.

[0005] 2. Limitations of customized jigs: The production cycle of customized jigs is long and the cost is high. Once the shape or size of the aluminum plate changes, the original jig may not be used and needs to be redesigned and manufactured.

[0006] 3. High cost and high time investment of 3D scanning technology: Although 3D scanning technology can provide high-precision detection results, the purchase cost of the equipment is high, and the scanning process requires manual operation. A perfect scan of a single finished product usually takes at least 30 minutes, which is a large time cost in the production process.

[0007] 4. Production loss and cost control issues: In mass production, due to inaccurate testing and trimming, it is easy to cause material waste and low production efficiency. In small-batch production, due to excessive investment in bottom molds, production costs are difficult to control.

[0008] Therefore, there is an urgent need for a measuring device for processing a hyperbolic aluminum plate to solve at least one of the above problems. Summary of the invention

[0009] The present application provides a measuring device for processing hyperbolic aluminum plates, aiming to solve the problems of the prior art, such as limited efficiency and accuracy of manual operation, limitations of customized fixtures, high cost and high time investment of three-dimensional scanning technology, production loss and cost control.

[0010] In a first aspect, the present application provides a measuring device for processing a hyperbolic aluminum plate, comprising:

[0011] Inspection truss frame, used to provide movable support structure;

[0012] A laser detection instrument, installed on the detection truss frame, is used to perform three-dimensional scanning on the hyperbolic aluminum plate and generate point cloud data;

[0013] A reference calibration instrument, used for calibrating the reference position of the detection truss frame;

[0014] The control module is used to scan the ground plane reference corresponding to the machining measuring device through a reference calibration instrument to obtain an X-axis deviation value and a Y-axis deviation value between the detection truss frame and the ground plane reference; obtain the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value; and control the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value;

[0015] The control module also controls the laser detection instrument to move along a preset path and execute a scanning program; generates a three-dimensional format file based on the point cloud data obtained by scanning the scanning program, and performs fitting and comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data, thereby completing the three-dimensional shape detection of the hyperbolic aluminum plate.

[0016] In some embodiments, the method of scanning the ground plane reference corresponding to the machining measuring device with a reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least squares method to establish a reference plane coordinate system; performing spatial coordinate transformation calculation on the current position coordinates of the detection truss frame and the reference plane coordinate system, and outputting the vector deviation values ​​corresponding to the X-axis and Y-axis respectively to obtain the X-axis deviation value and the Y-axis deviation value.

[0017] Exemplarily, controlling the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference includes: controlling a laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference, the laser ranging array being composed of a plurality of groups of orthogonally distributed ranging units; wherein the ranging units adopt phase-type laser ranging sensors with an accuracy of ±0.01 mm, and are symmetrically arranged along the diagonal of the detection truss frame.

[0018] In some embodiments, the Z-axis height reference corresponding to the detection truss frame is obtained through corner point reference scanning to obtain the Z-axis deviation value, including: setting pressure-triggered reference positioning blocks at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame; after the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block; the maximum extreme value in the Z-axis direction in the multiple scans is obtained as the height reference reference plane; and the standard height difference between the current measurement plane and the height reference reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

[0019] In some embodiments, controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value; generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial posture of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle, to complete the calibration of the reference position of the detection truss frame.

[0020] In some embodiments, controlling the laser detection instrument to move along a preset path and execute a scanning program includes: generating an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; using the equidistant spiral scanning path as the preset path; and controlling the laser detection instrument to scan according to the equidistant spiral scanning path.

[0021] Exemplarily, controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

[0022] In some embodiments, the design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a test report and secondary molding area guidance data, including: using the least squares surface fitting method to calculate the deviation distribution between the actual scanning surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model; generating a test report including a deviation chromatogram, a key dimension error list and a three-dimensional coordinate error vector according to the deviation distribution, and outputting processing parameter recommendations for the secondary molding area, including milling depth, angle compensation amount and pressure correction value.

[0023] For example, in the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area, when the deviation is less than 0.2-0.5 mm, it is marked as a yellow warning area, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0024] Exemplarily, the output processing parameter recommendations for the secondary molding area, including milling depth, angle compensation and pressure correction value, include: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model; calculating the milling depth according to the normal deviation, principal curvature and a preset material plastic deformation coefficient, wherein the material plastic deformation coefficient has a value range of 0.05-0.2; determining the angle compensation according to the processing plane coordinates and the normal deviation by using a vector analysis method; and calculating the pressure correction value according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0025] The present application provides a measuring device for processing hyperbolic aluminum plates, which includes: a detection truss frame: as a movable support structure, it provides flexibility and adaptability for scanning. Laser detection instrument: installed on the truss, performs three-dimensional scanning and generates high-precision point cloud data. Benchmark correction instrument: used to calibrate the spatial reference position of the truss, which is specifically achieved through the following steps: scanning the ground plane reference to obtain the X / Y axis deviation value; determining the Z-axis height reference and deviation value through corner point reference scanning; and dynamically calibrating the integrated three-axis deviation values ​​to ensure that the measurement reference is aligned with the design model. Control module: drives the laser detection instrument to scan along a preset path and generate a three-dimensional format file; fits and compares the point cloud data with the design model, generates a detection report and secondary molding area guidance data, and guides processing corrections.

[0026] This device proposes the following innovative advantages to address the pain points of existing technologies:

[0027] 1. Improve efficiency and accuracy: Automated calibration and scanning path control replace manual operations, reduce human errors, and significantly improve detection speed and consistency. The three-axis reference dynamic correction technology ensures that the measurement reference is strictly aligned with the design model, solving the positioning deviation problem caused by traditional fixture dependence.

[0028] 2. Reduce costs and resource waste: Through high-precision point cloud fitting and comparison, quickly locate the molding defect area, generate secondary processing guidance data, and reduce material trial and error loss; no customized fixtures are required, reducing equipment investment and maintenance costs, and adapting to a variety of complex surface inspection scenarios.

[0029] 3. Digital production support: The digital interaction between the test report and the design model provides a data basis for process optimization and promotes the upgrading of hyperbolic aluminum plate processing towards intelligence and standardization.

[0030] In summary, this solution builds a full-process closed loop for hyperbolic aluminum plate detection by integrating dynamic benchmark correction, automated scanning and intelligent data analysis. It is efficient, accurate and economical, and is particularly suitable for quality control of high-precision curved surface components in the fields of building curtain walls, aerospace, etc.

[0031] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 It is a schematic diagram of the structure of a measuring device for processing a hyperbolic aluminum plate provided in one embodiment of the present application;

[0034] Figure 2 is a schematic diagram of a detection path provided by an embodiment of the present application;

[0035] Figure 3 This is a schematic flow chart of the steps of a measurement method for processing a hyperbolic aluminum plate provided in one embodiment of the present application;

[0036] Figure 4 It is a schematic block diagram of the structure of a control module provided in one embodiment of the present application.

[0037] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0039] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0040] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0041] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0042] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0043] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0044] Existing inspection technologies for hyperbolic aluminum plates mainly rely on manual operation or specific inspection tools. Manual operation usually involves visual inspection and the use of gauges (such as calipers and angle gauges) to measure the size and shape of the aluminum plate. Customized jig inspection uses specially designed fixtures or templates that are manufactured according to the expected shape and size of the aluminum plate to check whether the aluminum plate meets the specified geometric parameters.

[0045] Customized jigs are usually made of materials such as wood, aluminum or rubber, and can simulate the shape of hyperbolic aluminum plates to facilitate shape and size comparison. In mass production, these jigs can reduce the time of manual measurement and improve the consistency of detection. However, for hyperbolic aluminum plates with complex or irregular shapes, customized jigs are expensive to make and have low flexibility. Although the existing technology can meet the detection needs of hyperbolic aluminum plates to a certain extent, it has the following problems and disadvantages:

[0046] 1. The efficiency and accuracy of manual operation are limited: Manual testing relies on the operator’s experience and skills and is easily affected by factors such as subjective judgment and fatigue, resulting in low accuracy of test results.

[0047] 2. Limitations of customized jigs: The production cycle of customized jigs is long and the cost is high. Once the shape or size of the aluminum plate changes, the original jig may not be used and needs to be redesigned and manufactured.

[0048] 3. High cost and high time investment of 3D scanning technology: Although 3D scanning technology can provide high-precision detection results, the purchase cost of the equipment is high, and the scanning process requires manual operation. A perfect scan of a single finished product usually takes at least 30 minutes, which is a large time cost in the production process.

[0049] 4. Production loss and cost control issues: In mass production, due to inaccurate testing and trimming, it is easy to cause material waste and low production efficiency. In small-batch production, due to excessive investment in bottom molds, production costs are difficult to control.

[0050] Therefore, there is an urgent need for a measuring device for processing a hyperbolic aluminum plate to solve at least one of the above problems.

[0051] To solve the above problems, please refer to Figure 1The present application provides a measuring device for processing a hyperbolic aluminum plate, which is used to detect a hyperbolic aluminum plate 21 set on a base 22. The measuring device for processing a hyperbolic aluminum plate includes a detection truss frame 11, which is used to provide a movable support structure; a laser detection instrument 12, which is installed on the detection truss frame, and is used to perform three-dimensional scanning of the hyperbolic aluminum plate and generate point cloud data; a reference correction instrument 13, which is used to calibrate the reference position of the detection truss frame; a control module (not shown in the figure), which is used to scan the ground plane reference 14 corresponding to the processing measurement device through the reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference; obtain the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value; control the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value; the control module also controls the laser detection instrument to walk along a preset path and execute a scanning program; generate a three-dimensional format file according to the point cloud data obtained by scanning by executing the scanning program, and perform fitting comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data, so as to complete the three-dimensional shape detection of the hyperbolic aluminum plate.

[0052] Specifically, the measuring device realizes the automatic detection and guidance correction of the three-dimensional shape of the hyperbolic aluminum plate by integrating high-precision laser scanning, dynamic reference calibration and intelligent data processing technology.

[0053] The inspection truss frame can adopt a modular movable truss design, which is usually made of lightweight and high-rigidity materials (such as aluminum alloy or carbon fiber) and spans the production line or inspection area. The truss is equipped with a multi-axis motion system (such as XYZ three-axis guide rail) to cover the entire inspection area of ​​the hyperbolic aluminum plate. As the carrier of the laser inspection instrument and the reference correction instrument, high-precision positioning is achieved through servo motor drive, and the movement accuracy can reach ±0.1mm, ensuring full coverage of the scanning path.

[0054] The laser detection instrument can use a line laser scanner or a structured light 3D scanner with a scanning frequency of ≥50Hz, a single scanning width of 200-500mm, and a resolution of 0.05mm. The dense point cloud data of the surface of the hyperbolic aluminum plate is obtained through non-contact scanning (the number of scanning points for a single piece can reach millions) and transmitted to the control module in real time.

[0055] The reference calibration instrument can integrate a laser rangefinder, an inclination sensor and a visual positioning module and be installed at the key nodes of the truss (it can be installed at the same time according to actual needs). Figure 1 Install in other locations other than the corresponding ones).

[0056] Scan the ground reference mark points (such as Figure 1Reflectors are embedded in the corresponding positions) and the deviation values ​​(ΔX, ΔY) between the truss X / Y axis and the standard coordinate system are calculated. The three-dimensional coordinates of the corner points of the aluminum plate are identified by the visual module, and the truss deflection is compensated in combination with the inclination sensor data to determine the Z-axis reference (ΔZ). After calibration, the truss deformation is continuously monitored during the movement, and the position is adjusted in real time through algorithms such as PID.

[0057] The control module is developed based on industrial PC and can include three subsystems: motion control, point cloud processing and model comparison. Automatically generate spiral or grid scanning paths according to the size of the aluminum plate to optimize scanning efficiency. The ICP (Iterative Closest Point) algorithm is used to align the scanned point cloud with the CAD design model, with a fitting accuracy of 0.1mm. Generate a color difference map to intuitively display the out-of-tolerance area (such as the area with curvature deviation > 1mm), and output the CNC machining code to guide the modification.

[0058] The specific use of the device can be: by installing the detection truss frame next to the production line, leveling it with anchor bolts to ensure that the horizontal error is less than 0.02mm / m. Arrange a reference point array on the ground in the detection area (2m intervals, accuracy ±0.05mm), and set corner point marks at the four corners of the aluminum plate positioning tooling. The truss moves along the X / Y axis to scan the ground reference points, calculate the coordinate system offset and compensate. The visual system captures the corner points of the aluminum plate and determines the Z-axis zero point in combination with laser ranging, which takes less than 3 minutes. After the operator fixes the aluminum plate to be tested on the detection platform, the automatic scanning is started: the truss moves along the preset path at a speed of 0.5m / s, and the laser scanner continuously collects data. The scanning time of a single standard-sized aluminum plate (3m×2m) is shortened to 5-8 minutes (80% faster than traditional 3D scanning).

[0059] At the same time, after the point cloud is filtered by noise reduction, it is fitted with the design model by the least square method to generate a test report containing the following contents: overall contour error (RMS value); coordinates and deviation of the local out-of-tolerance area (marked to 0.01mm); automatically generated shaping suggestions (such as the specified area needs to be milled 0.3mm),

[0060] Through innovation in mechatronics and soft integration, the device solves the core pain points in the field of hyperbolic aluminum plate detection, and promotes high-end aluminum processing in the fields of building curtain walls, aerospace, etc. into a new stage of intelligent detection.

[0061] The invention can provide a more efficient, accurate and economical technical solution for the production of hyperbolic aluminum plates, thereby improving the automation level and cost-effectiveness of the entire production process.

[0062] The effects and advantages of the present invention are mainly reflected in the following aspects:

[0063] 1. Improve detection accuracy and efficiency: By adopting sensor arrays and automated data processing, the invention eliminates subjective errors in manual operation and achieves high-precision real-time detection. At the same time, the automated process greatly reduces the time required for detection and improves production efficiency.

[0064] 2. Flexibility and adaptability: The hyperbolic aluminum plate detection system created by the present invention does not rely on customized jigs and can adapt to aluminum plates of different shapes and sizes. There is no need to manufacture expensive jigs for each aluminum plate separately, thereby reducing costs and improving the flexibility of the detection system.

[0065] 3. Reduce production loss: Since the invention can provide accurate test results and finishing guidance, it can significantly reduce material waste in the production process and improve material utilization.

[0066] 4. Cost saving: The detection system created by the present invention reduces the need for manual operation and customized jigs, reduces labor costs and jig manufacturing costs. At the same time, due to the improved detection accuracy, unnecessary trimming and reprocessing are reduced, thus saving raw materials and energy consumption.

[0067] 5. Simplified operation process: The user interface is designed to be intuitive and easy to use. Operators can easily operate the system and view results without the need for professional technical training.

[0068] In summary, compared with the prior art, the invention has significantly improved the yield, quality, precision and efficiency, and achieved savings in energy consumption, raw materials and processes. In addition, the invention simplifies the complexity of processing, operation, control and use, and effectively controls environmental pollution.

[0069] In some embodiments, the method of scanning the ground plane reference corresponding to the machining measuring device with a reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least squares method to establish a reference plane coordinate system; performing spatial coordinate transformation calculation on the current position coordinates of the detection truss frame and the reference plane coordinate system, and outputting the vector deviation values ​​corresponding to the X-axis and Y-axis respectively to obtain the X-axis deviation value and the Y-axis deviation value.

[0070] This embodiment proposes a specific calculation method for the X / Y axis deviation value, including: multi-point synchronous scanning of ground plane reference points; fitting the reference plane coordinate system by the least square method; coordinate transformation to calculate the X / Y axis deviation of the truss. For example, 4 reference points (such as ceramic reflectors) can be arranged on the ground with a spacing of 2m×2m; the laser ranging array is synchronously scanned at a speed of 10 points / second to obtain point cloud data; the control module combines the least squares plane fitting, and then calculates the Euclidean distance between the current position of the truss and the fitting plane, decomposing it into the X / Y axis deviation vector.

[0071] Eliminate single-point errors through multi-point calibration to improve plane fitting accuracy; dynamically compensate for ground unevenness to adapt to complex workshop environments.

[0072] Exemplarily, controlling the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference includes: controlling a laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference, the laser ranging array being composed of a plurality of groups of orthogonally distributed ranging units; wherein the ranging units adopt phase-type laser ranging sensors with an accuracy of ±0.01 mm, and are symmetrically arranged along the diagonal of the detection truss frame.

[0073] Phase laser sensors are used through the distance measurement unit; the array is orthogonally distributed and diagonally symmetrically arranged.

[0074] For example, the ranging array consists of 8 groups of sensors, including: 2 groups in the X / Y axis direction, with a spacing of 500mm; 4 groups are arranged diagonally to form a redundant measurement network; the sensor range is 0.1-5m, and the resolution is 0.01mm; all sensors are triggered synchronously during data acquisition, and the measurement data is aligned through hardware timestamps.

[0075] The symmetrical layout eliminates measurement errors caused by truss deformation; the phase laser resists interference from ambient light to ensure stability under workshop conditions.

[0076] In some embodiments, the Z-axis height reference corresponding to the detection truss frame is obtained through corner point reference scanning to obtain the Z-axis deviation value, including: setting pressure-triggered reference positioning blocks at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame; after the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block; the maximum extreme value in the Z-axis direction in the multiple scans is obtained as the height reference reference plane; and the standard height difference between the current measurement plane and the height reference reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

[0077] By setting a pressure-triggered reference block at the corner of the molding equipment; triggering the mechanical locking through a contact sensor; and taking the Z-axis extreme value as the height reference through multiple scans.

[0078] For example, the reference positioning block has a built-in piezoelectric sensor (sensitivity ≥ 5N), which locks the position after being triggered; the contact sensor is an LVDT displacement probe with a measuring force of 0.5N±0.1N; the laser scanner repeatedly scans the upper surface of the reference block 5 times, and takes the maximum Z value after eliminating abnormal values ​​outside ±3σ.

[0079] In some embodiments, controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value; generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial posture of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle, to complete the calibration of the reference position of the detection truss frame.

[0080] Specifically, the three-dimensional space compensation method includes: establishing a coordinate compensation matrix; calculating the truss tilt compensation angle; and adjusting the truss space posture. Through space compensation, the alignment error between the measurement coordinate system and the design model is ≤0.05mm; dynamic posture adjustment adapts to the thermal deformation of the truss to ensure long-term working stability.

[0081] The compensation matrix formula includes:

[0082] ;

[0083] , , They represent the compensation amount in the XYZ direction respectively. The tilt angle θ is measured in real time by the tilt angle sensor at the end of the truss. , , They are the deviation values ​​corresponding to the three axes of XYZ. Among them, the θ measurement range is ±5°, the resolution is 0.0001°, and the compensation matrix update frequency is 100Hz.

[0084] In some embodiments, controlling the laser detection instrument to move along a preset path and execute a scanning program includes: generating an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; using the equidistant spiral scanning path as the preset path; and controlling the laser detection instrument to scan according to the equidistant spiral scanning path.

[0085] The preset path is an equidistant spiral, which is generated according to the curvature of the design model. The spiral spacing is adaptive according to the curvature (the default spacing is 2mm, and it is increased to 0.5mm when the curvature is >0.01 / mm). Compared with raster scanning, the spiral path reduces the empty stroke, which shortens the scanning time; the curvature is associated with the path density, and the data integrity of the key area is greatly improved.

[0086] Exemplarily, controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

[0087] By dynamically adjusting the scanning density: the area with a curvature radius of <500mm uses a 0.5mm dot pitch, and the area with a curvature radius of >500mm uses a 2mm dot pitch. The curvature calculation expression is as follows:

[0088] ;

[0089] f′(x) (first-order derivative) represents the slope of the tangent line of the curve at point xx, that is, the height change rate of the aluminum plate surface at the current position along the scanning direction. Theoretically, it can be any real number (f′(x)∈R), but in aluminum plate detection, due to the flat surface, the actual value is usually small. For example: when the aluminum plate surface is tilted at 5°, f′(x)=tan(5°)≈0.0875.

[0090] f′′(x) (second-order derivative) indicates the degree of curvature (convexity) of the curve at point xx, that is, the acceleration of the height change of the aluminum plate surface. The positive and negative signs indicate the bending direction (positive: concave surface upward, negative: concave surface downward). The larger the absolute value, the greater the curvature. If the local bending radius of the aluminum plate R=500 mm, then |f′′(x)|=1 / R=0.002 mm −1 The second and first order derivatives can be estimated from the discrete point cloud.

[0091] is a normalization factor that eliminates the effect of parameterization (such as scan path speed) on the curvature calculation and ensures that the curvature is a geometric invariant. When the surface is nearly flat (f′(x)→0), the denominator approaches 1 and the curvature is dominated by |f′′(x)|. When the surface is steep (f′(x)≫1), the denominator increases significantly, suppressing the curvature value.

[0092] (Unit: mm⁻¹) A quantitative index that characterizes the degree of local curvature on the surface of an aluminum plate, where the radius of curvature R = 1 / . =0 indicates completely flat (straight line). When the hyperbolic aluminum plate is in a gentle area: <0.001 mm⁻¹ (radius of curvature R > 1000 mm); when the hyperbolic aluminum plate is moderately bent: 0.001 ≤ <0.005 mm⁻¹ (200 mm < R ≤ 1000 mm); when the hyperbolic aluminum plate is in a high curvature area: ≥0.005 mm⁻¹ (R ≤ 200 mm).

[0093] By synchronously adjusting the scanning speed (such as 0.2 m / s in the high-density area and 0.8 m / s in the low-density area). On the premise of ensuring accuracy, the overall scanning efficiency is increased by 35%; the redundant data volume is reduced, and the point cloud processing time is shortened by 40%.

[0094] In some embodiments, the design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a detection report and secondary forming area guidance data, including: calculating the deviation distribution between the actual scanned surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model by using the least squares surface fitting method; generating a detection report including a deviation chromatogram, a list of key dimension errors, and a three-dimensional coordinate error vector according to the deviation distribution, and outputting processing parameter suggestions for the secondary forming area, including milling depth, angle compensation amount, and pressure correction value.

[0095] The deviation analysis can adopt the ICP (Iterative Closest Point) algorithm. For example, the ICP is implemented using the PCL library, with a maximum number of iterations of 100 and a convergence threshold of 0.001 mm; the processing parameters can be calculated based on the MATLAB optimization toolbox.

[0096] Exemplarily, in the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area; when the deviation is less than 0.2 - 0.5 mm, it is marked as a yellow warning area; when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0097] It can be rendered in real time using, for example, OpenGL shaders, with a resolution of 4096×2160; the boundaries of the color blocks are anti-aliased, and the edge smoothness reaches the sub-pixel level. This enables the quality inspector to identify defects 300% faster, and the misjudgment rate is reduced to 0.1%.

[0098] Exemplarily, the output processing parameter recommendations for the secondary molding area, including milling depth, angle compensation and pressure correction value, include: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model; calculating the milling depth according to the normal deviation, principal curvature and a preset material plastic deformation coefficient, wherein the material plastic deformation coefficient has a value range of 0.05-0.2; determining the angle compensation according to the processing plane coordinates and the normal deviation by using a vector analysis method; and calculating the pressure correction value according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0099] The principal curvature and normal deviation are calculated by differential geometry model; the milling depth is calculated according to the plasticity coefficient; and the angle compensation is determined by vector analysis.

[0100] The principal curvature can be calculated by calculating the Hessian matrix.

[0101] The milling depth formula is:

[0102] ;

[0103] Δn (normal deviation) indicates the maximum deviation between the actual surface and the design model in the normal direction. In typical aluminum plate processing scenarios: 0.1 mm ≤ Δn ≤ 3.0 mm; at the same time, when Δn> 5.0 mm, multiple milling operations are required.

[0104] μ (material plasticity coefficient) represents the proportional coefficient of plastic deformation of the material during milling, which is related to the hardness and ductility of the material. It is an empirical value and dimensionless. For example, if the material type is aluminum plate, μ is 0.10 ~ 0.15, stainless steel is 0.06 ~ 0.08, and titanium alloy is 0.03 ~ 0.05. and Indicates the two principal curvatures of the aluminum plate surface at the current position, corresponding to the maximum and minimum bending directions respectively. The unit is mm⁻¹. Angle compensation is calculated by the normal vector angle: ; It is the surface normal vector calculated by scanning the point cloud and fitting the plane by the coordinates of adjacent points. is the normal vector of the theoretical surface, which can be obtained from the CAD model. It is the angular deviation between the actual surface and the design model in the normal direction, which needs to be compensated for the milling tool posture.

[0105] In some embodiments, Figure 2As shown, after the hyperbolic aluminum plate surface is formed, the device moves to the calibration position of the hyperbolic aluminum plate equipment; fix the equipment limit mechanism and start the equipment; automatically start the calibration program, rely on the benchmark calibration detector, scan the ground plane benchmark to feedback the X and Y axis deviation values, and automatically enter the equipment benchmark compensation value; then start the corner point benchmark scanning, automatically detect the Z axis height benchmark, check the benchmark position deviation compensation, and automatically adjust to the benchmark zero position; then execute the scanning program, and the high-precision laser detector automatically starts to walk the detection path; after walking, the design model is automatically checked; the scanned product point cloud graphics are detected to generate a three-dimensional format file, and the comparison software is used to fit and align with the design model; the detection report and the guiding secondary molding area are generated through automatic comparison; thus, the overall use process of the equipment is completed.

[0106] The present application provides a measuring device for processing hyperbolic aluminum plates, which includes: a detection truss frame: as a movable support structure, it provides flexibility and adaptability for scanning. Laser detection instrument: installed on the truss, performs three-dimensional scanning and generates high-precision point cloud data. Benchmark correction instrument: used to calibrate the spatial reference position of the truss, which is specifically achieved through the following steps: scanning the ground plane reference to obtain the X / Y axis deviation value; determining the Z-axis height reference and deviation value through corner point reference scanning; and dynamically calibrating the integrated three-axis deviation values ​​to ensure that the measurement reference is aligned with the design model. Control module: drives the laser detection instrument to scan along a preset path and generate a three-dimensional format file; fits and compares the point cloud data with the design model, generates a detection report and secondary molding area guidance data, and guides processing corrections.

[0107] This device proposes the following innovative advantages to address the pain points of existing technologies:

[0108] 1. Improve efficiency and accuracy: Automated calibration and scanning path control replace manual operations, reduce human errors, and significantly improve detection speed and consistency. The three-axis reference dynamic correction technology ensures that the measurement reference is strictly aligned with the design model, solving the positioning deviation problem caused by traditional fixture dependence.

[0109] 2. Reduce costs and resource waste: Through high-precision point cloud fitting and comparison, quickly locate the molding defect area, generate secondary processing guidance data, and reduce material trial and error loss; no customized fixtures are required, reducing equipment investment and maintenance costs, and adapting to a variety of complex surface inspection scenarios.

[0110] 3. Digital production support: The digital interaction between the test report and the design model provides a data basis for process optimization and promotes the upgrading of hyperbolic aluminum plate processing towards intelligence and standardization.

[0111] In summary, this solution builds a full-process closed loop for hyperbolic aluminum plate detection by integrating dynamic benchmark correction, automated scanning and intelligent data analysis. It is efficient, accurate and economical, and is particularly suitable for quality control of high-precision curved surface components in the fields of building curtain walls, aerospace, etc.

[0112] See also Figure 3 , Figure 3 The schematic flow chart of the measurement method for processing a hyperbolic aluminum plate provided in one embodiment of the present application is shown in FIG. The execution device of the method is the control module of the measurement device for processing a hyperbolic aluminum plate provided in any embodiment of the present application.

[0113] like Figure 3 As shown, the provided method includes steps S101 to S104. The control module may be a handheld terminal, a notebook computer, a wearable device or a robot, etc., for implementing steps S101 to S104 and their corresponding embodiments.

[0114] Step S101. Scan the ground plane reference corresponding to the machining measuring device through a reference calibration instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame body and the ground plane reference.

[0115] Specifically, use a reference calibration instrument (such as a laser level or total station) to scan the ground plane reference of the installation area, and establish a coordinate system mapping relationship between the detection truss frame and the ground plane. Fit the ground plane equation through multi-point sampling (such as ≥4 points), and calculate the deviation value (ΔX, ΔY) of the truss frame in the X-axis and Y-axis directions. For example, by fixing the reference calibration instrument on the top of the detection truss frame, turning on the self-calibration mode, and scanning a circular area with a radius of 5m (sampling density: 10 points / m²). Collect the coordinates of the ground feature points, use the least squares method to fit the ideal plane, and calculate the offset between the actual coordinates of the frame and the theoretical plane.

[0116] Step S102: Obtain a Z-axis height reference corresponding to the detection truss frame body through corner point reference scanning to obtain a Z-axis deviation value.

[0117] Specifically, a corner reference scanner (such as a high-precision laser rangefinder or structured light scanner) is used to locate the four corners of the inspection truss in the vertical direction (Z axis). The Z axis height of each corner point is calculated by triangulation and compared with the theoretical height in the design model to generate a Z axis deviation value (ΔZ). For example, the preset reflective marking points (diameter 10mm) at the four corners of the truss are scanned, and the three-dimensional coordinates of the corner points are located by an image recognition algorithm.

[0118] Step S103: Control the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value.

[0119] Specifically, the electric adjustment mechanism (such as servo motor + ball screw) of the detection truss is driven according to the ΔX, ΔY, and ΔZ values ​​to dynamically correct the spatial posture of the truss to ensure that it is aligned with the ground plane reference and the design model.

[0120] Step S104. Control the laser detection instrument to move along the preset path and execute the scanning program, generate a three-dimensional format file based on the point cloud data obtained by scanning the scanning program, and fit and compare it with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data to complete the three-dimensional shape detection of the hyperbolic aluminum plate.

[0121] Specifically, the laser detection instrument (such as a line laser scanner) is controlled to scan the surface of the hyperbolic aluminum plate along a preset path (spiral or grid path) to obtain high-density point cloud data (density ≥ 100 points / cm²). The point cloud data is fitted and compared with the design model (CAD format) through the ICP (Iterative Closest Point) algorithm to generate a deformation error map and secondary processing guidance data.

[0122] In some embodiments, the method of scanning the ground plane reference corresponding to the machining measuring device with a reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least squares method to establish a reference plane coordinate system; performing spatial coordinate transformation calculation on the current position coordinates of the detection truss frame and the reference plane coordinate system, and outputting the vector deviation values ​​corresponding to the X-axis and Y-axis respectively to obtain the X-axis deviation value and the Y-axis deviation value.

[0123] Exemplarily, controlling the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference includes: controlling a laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference, the laser ranging array being composed of a plurality of groups of orthogonally distributed ranging units; wherein the ranging units adopt phase-type laser ranging sensors with an accuracy of ±0.01 mm, and are symmetrically arranged along the diagonal of the detection truss frame.

[0124] In some embodiments, the Z-axis height reference corresponding to the detection truss frame is obtained through corner point reference scanning to obtain the Z-axis deviation value, including: setting pressure-triggered reference positioning blocks at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame; after the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block; the maximum extreme value in the Z-axis direction in the multiple scans is obtained as the height reference reference plane; and the standard height difference between the current measurement plane and the height reference reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

[0125] In some embodiments, controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value; generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial posture of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle, to complete the calibration of the reference position of the detection truss frame.

[0126] In some embodiments, controlling the laser detection instrument to move along a preset path and execute a scanning program includes: generating an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; using the equidistant spiral scanning path as the preset path; and controlling the laser detection instrument to scan according to the equidistant spiral scanning path.

[0127] Exemplarily, controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

[0128] In some embodiments, the design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a test report and secondary molding area guidance data, including: using the least squares surface fitting method to calculate the deviation distribution between the actual scanning surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model; generating a test report including a deviation chromatogram, a key dimension error list and a three-dimensional coordinate error vector according to the deviation distribution, and outputting processing parameter recommendations for the secondary molding area, including milling depth, angle compensation amount and pressure correction value.

[0129] For example, in the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area, when the deviation is less than 0.2-0.5 mm, it is marked as a yellow warning area, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0130] Exemplarily, the output processing parameter recommendations for the secondary molding area, including milling depth, angle compensation and pressure correction value, include: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model; calculating the milling depth according to the normal deviation, principal curvature and a preset material plastic deformation coefficient, wherein the material plastic deformation coefficient has a value range of 0.05-0.2; determining the angle compensation according to the processing plane coordinates and the normal deviation by using a vector analysis method; and calculating the pressure correction value according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0131] It should be noted that, technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the measurement method for processing hyperbolic aluminum plates described above and the specific working process of each step can refer to the corresponding process in the embodiments of the measurement device for processing hyperbolic aluminum plates described in the above embodiments, and will not be repeated here.

[0132] The embodiment of the present application also provides a measurement module for processing a hyperbolic aluminum plate. The measurement module for processing a hyperbolic aluminum plate is used to execute the steps of the measurement method for processing a hyperbolic aluminum plate shown in the above embodiments. The measurement module for processing a hyperbolic aluminum plate can be a single server or a server cluster, or the measurement module for processing a hyperbolic aluminum plate can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device, a robot, etc.

[0133] The measurement module for double-curved aluminum plate processing includes:

[0134] The first acquisition unit is used to scan the ground plane reference corresponding to the machining measurement device through a reference calibration instrument to obtain an X-axis deviation value and a Y-axis deviation value between the detection truss frame body and the ground plane reference;

[0135] The second acquisition unit is used to acquire the Z-axis height reference corresponding to the detection truss frame body through corner point reference scanning to obtain the Z-axis deviation value;

[0136] A position detection unit, used for controlling a reference correction instrument to calibrate and detect a reference position of a truss frame according to an X-axis deviation value, a Y-axis deviation value, and a Z-axis deviation value;

[0137] The detection completion unit is used to control the laser detection instrument to move along a preset path and execute a scanning program. A three-dimensional format file is generated based on the point cloud data obtained by scanning the scanning program, and a fitting comparison is performed with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data to complete the three-dimensional shape detection of the hyperbolic aluminum plate.

[0138] In some embodiments, the method of scanning the ground plane reference corresponding to the machining measuring device with a reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least squares method to establish a reference plane coordinate system; performing spatial coordinate transformation calculation on the current position coordinates of the detection truss frame and the reference plane coordinate system, and outputting the vector deviation values ​​corresponding to the X-axis and Y-axis respectively to obtain the X-axis deviation value and the Y-axis deviation value.

[0139] Exemplarily, controlling the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference includes: controlling a laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference, the laser ranging array being composed of a plurality of groups of orthogonally distributed ranging units; wherein the ranging units adopt phase-type laser ranging sensors with an accuracy of ±0.01 mm, and are symmetrically arranged along the diagonal of the detection truss frame.

[0140] In some embodiments, the Z-axis height reference corresponding to the detection truss frame is obtained through corner point reference scanning to obtain the Z-axis deviation value, including: setting pressure-triggered reference positioning blocks at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame; after the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block; the maximum extreme value in the Z-axis direction in the multiple scans is obtained as the height reference reference plane; and the standard height difference between the current measurement plane and the height reference reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

[0141] In some embodiments, controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value; generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial posture of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle, to complete the calibration of the reference position of the detection truss frame.

[0142] In some embodiments, controlling the laser detection instrument to move along a preset path and execute a scanning program includes: generating an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; using the equidistant spiral scanning path as the preset path; and controlling the laser detection instrument to scan according to the equidistant spiral scanning path.

[0143] Exemplarily, controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

[0144] In some embodiments, the design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a test report and secondary molding area guidance data, including: using the least squares surface fitting method to calculate the deviation distribution between the actual scanning surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model; generating a test report including a deviation chromatogram, a key dimension error list and a three-dimensional coordinate error vector according to the deviation distribution, and outputting processing parameter recommendations for the secondary molding area, including milling depth, angle compensation amount and pressure correction value.

[0145] For example, in the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area, when the deviation is less than 0.2-0.5 mm, it is marked as a yellow warning area, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0146] Exemplarily, the output processing parameter recommendations for the secondary molding area, including milling depth, angle compensation and pressure correction value, include: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model; calculating the milling depth according to the normal deviation, principal curvature and a preset material plastic deformation coefficient, wherein the material plastic deformation coefficient has a value range of 0.05-0.2; determining the angle compensation according to the processing plane coordinates and the normal deviation by using a vector analysis method; and calculating the pressure correction value according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0147] It should be noted that, technical personnel in the relevant field can clearly understand that, for the convenience and conciseness of description, the specific working processes of the measurement module for hyperbolic aluminum plate processing and each unit described above can refer to the corresponding processes in the embodiments of the measurement method for hyperbolic aluminum plate processing described in the above embodiments, and will not be repeated here.

[0148] The above-mentioned measurement method for processing a hyperbolic aluminum plate is implemented in the form of a computer program, which can be run on the above-mentioned module.

[0149] See also Figure 4 , Figure 4 : is a schematic block diagram of the structure of a control module provided in an embodiment of the present application. The control module includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0150] The storage medium can store an operating device and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any embodiment of the measurement method for processing a hyperbolic aluminum plate.

[0151] The processor is used to provide computing and control capabilities and support the operation of the entire control module.

[0152] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any one of the measurement methods for processing hyperbolic aluminum plates.

[0153] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will appreciate that Figure 4 The structure shown in the figure is only a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific control module may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0154] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0155] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0156] Step S101. Scan the ground plane reference corresponding to the machining measuring device through the reference calibration instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame body and the ground plane reference;

[0157] Step S102. Obtain the Z-axis height reference corresponding to the detection truss frame body through corner point reference scanning to obtain the Z-axis deviation value;

[0158] Step S103. Control the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value;

[0159] Step S104. Control the laser detection instrument to move along the preset path and execute the scanning program, generate a three-dimensional format file based on the point cloud data obtained by scanning the scanning program, and fit and compare it with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data to complete the three-dimensional shape detection of the hyperbolic aluminum plate.

[0160] In some embodiments, the method of scanning the ground plane reference corresponding to the machining measuring device with a reference correction instrument to obtain the X-axis deviation value and the Y-axis deviation value of the detection truss frame and the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least squares method to establish a reference plane coordinate system; performing spatial coordinate transformation calculation on the current position coordinates of the detection truss frame and the reference plane coordinate system, and outputting the vector deviation values ​​corresponding to the X-axis and Y-axis respectively to obtain the X-axis deviation value and the Y-axis deviation value.

[0161] Exemplarily, controlling the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference includes: controlling a laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of a ground plane reference, the laser ranging array being composed of a plurality of groups of orthogonally distributed ranging units; wherein the ranging units adopt phase-type laser ranging sensors with an accuracy of ±0.01 mm, and are symmetrically arranged along the diagonal of the detection truss frame.

[0162] In some embodiments, the Z-axis height reference corresponding to the detection truss frame is obtained through corner point reference scanning to obtain the Z-axis deviation value, including: setting pressure-triggered reference positioning blocks at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame; after the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block; the maximum extreme value in the Z-axis direction in the multiple scans is obtained as the height reference reference plane; and the standard height difference between the current measurement plane and the height reference reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

[0163] In some embodiments, controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value; generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial posture of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle, to complete the calibration of the reference position of the detection truss frame.

[0164] In some embodiments, controlling the laser detection instrument to move along a preset path and execute a scanning program includes: generating an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; using the equidistant spiral scanning path as the preset path; and controlling the laser detection instrument to scan according to the equidistant spiral scanning path.

[0165] Exemplarily, controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

[0166] In some embodiments, the design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a test report and secondary molding area guidance data, including: using the least squares surface fitting method to calculate the deviation distribution between the actual scanning surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model; generating a test report including a deviation chromatogram, a key dimension error list and a three-dimensional coordinate error vector according to the deviation distribution, and outputting processing parameter recommendations for the secondary molding area, including milling depth, angle compensation amount and pressure correction value.

[0167] For example, in the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area, when the deviation is less than 0.2-0.5 mm, it is marked as a yellow warning area, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0168] Exemplarily, the output processing parameter recommendations for the secondary molding area, including milling depth, angle compensation and pressure correction value, include: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model; calculating the milling depth according to the normal deviation, principal curvature and a preset material plastic deformation coefficient, wherein the material plastic deformation coefficient has a value range of 0.05-0.2; determining the angle compensation according to the processing plane coordinates and the normal deviation by using a vector analysis method; and calculating the pressure correction value according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0169] It should be noted that technicians in the relevant field can clearly understand that for the convenience and brevity of description, the specific working process of the processor described above can refer to the corresponding process in the method embodiments described in the above embodiments, and will not be repeated here.

[0170] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement the steps of the measurement method for processing hyperbolic aluminum plates provided in the above embodiments of the present application.

[0171] The computer-readable storage medium may be an internal storage unit of the control module described in the above embodiment, such as a hard disk or memory of the control module. The computer-readable storage medium may also be an external storage device of the control module, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the control module.

[0172] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A measuring device for processing a hyperbolic aluminum plate, characterized in that: include: Inspection truss frame, used to provide movable support structure; A laser detection instrument, installed on the detection truss frame, is used to perform three-dimensional scanning on the hyperbolic aluminum plate and generate point cloud data; A reference calibration instrument, used for calibrating the reference position of the detection truss frame; The control module is used to scan the ground plane reference corresponding to the machining measuring device through a reference calibration instrument to obtain an X-axis deviation value and a Y-axis deviation value between the detection truss frame and the ground plane reference; obtain the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value; and control the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value; The control module also controls the laser detection instrument to move along a preset path and execute a scanning program; generates a three-dimensional format file based on the point cloud data obtained by scanning the scanning program, and performs fitting and comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary molding area guidance data, thereby completing the three-dimensional shape detection of the hyperbolic aluminum plate.

2. The device according to claim 1, characterized in that The method of scanning the ground plane reference corresponding to the machining measuring device by a reference calibration instrument to obtain an X-axis deviation value and a Y-axis deviation value between the detection truss frame and the ground plane reference includes: Controlling the laser detection instrument to perform multi-point synchronous scanning on a ground plane reference; Fitting the ground plane reference point cloud data measured by the multi-point synchronous scanning by the least square method to establish a reference plane coordinate system; The current position coordinates of the detection truss frame body are calculated by spatial coordinate transformation with the reference plane coordinate system, and vector deviation values ​​corresponding to the X-axis and the Y-axis are output respectively to obtain the X-axis deviation value and the Y-axis deviation value.

3. The device according to claim 2, characterized in that The step of controlling the laser detection instrument to perform multi-point synchronous scanning on a ground plane reference comprises: Controlling the laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning on the ground plane reference, the laser ranging array consisting of multiple groups of orthogonally distributed ranging units; The distance measuring unit adopts a phase laser distance measuring sensor with an accuracy of ±0.01mm and is symmetrically arranged along the diagonal line of the detection truss frame.

4. The device according to claim 1, characterized in that The method of obtaining the Z-axis height reference corresponding to the detection truss frame body by scanning the corner reference to obtain the Z-axis deviation value includes: Pressure-triggered reference positioning blocks are arranged at the four corner points of the forming equipment corresponding to the hyperbolic aluminum plate, so as to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the ends of the detection truss frame bodies; After the mechanical locking device is triggered, the laser detection instrument is used to repeatedly scan the preset measurement plane of the reference positioning block for multiple times; Obtain the maximum extreme value in the Z-axis direction during multiple scans as a height reference surface; The standard height difference between the current measurement plane and the height reference plane is calculated, and the standard height difference is used as the Z-axis deviation value.

5. The device according to claim 1, characterized in that The step of controlling the reference correction instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, the Y-axis deviation value, and the Z-axis deviation value comprises: A three-dimensional space coordinate compensation matrix is ​​established according to the X-axis deviation value, the Y-axis deviation value and the Z-axis deviation value: Generating a truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; The spatial posture of the detection truss frame is adjusted according to the three-dimensional space coordinate compensation matrix and the truss frame tilt compensation angle to complete the calibration of the reference position of the detection truss frame.

6. The device according to claim 1, characterized in that The step of controlling the laser detection instrument to move along a preset path and execute a scanning procedure includes: Generate an equidistant spiral scanning path according to the curvature characteristics of the design model corresponding to the hyperbolic aluminum plate; the equidistant spiral scanning path is used as the preset path; The laser detection instrument is controlled to scan according to the equidistant spiral scanning path.

7. The device according to claim 6, characterized in that The controlling the laser detection instrument to scan according to the equidistant spiral scanning path also includes: During the scanning process, the scanning density of the equidistant spiral scanning path is dynamically adjusted to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500mm, a scanning density of 0.5mm dot pitch is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500mm, a scanning density of 2mm dot pitch is adopted.

8. The device according to claim 1, characterized in that The design model corresponding to the hyperbolic aluminum plate is fitted and compared to generate a test report and secondary molding area guidance data, including: The least square surface fitting method is used to calculate the deviation distribution between the actual scanning surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model; An inspection report including a deviation chromatogram, a key dimension error list and a three-dimensional coordinate error vector is generated according to the deviation distribution, and processing parameter suggestions for the secondary molding area are output, including milling depth, angle compensation amount and pressure correction value.

9. The device according to claim 8, characterized in that In the deviation chromatogram, when the deviation is less than 0.2 mm, it is marked as a green qualified area, when the deviation is less than 0.2-0.5 mm, it is marked as a yellow warning area, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

10. The device according to claim 8, characterized in that The output of the secondary molding area processing parameter recommendations, including milling depth, angle compensation and pressure correction value, includes: A differential geometry model of the three-dimensional surface is established according to the deviation distribution, and the principal curvature and normal deviation of each out-of-tolerance point of the differential geometry model are calculated; Calculating the milling depth according to the normal deviation, the principal curvature and a preset material plastic deformation coefficient, wherein the value range of the material plastic deformation coefficient is 0.05-0.2; The angle compensation is determined based on the machining plane coordinates and normal deviation using vector analysis. The pressure correction value is calculated according to the elastic modulus, plate thickness and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

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