A measuring device for processing hyperbolic aluminum plates

Abstract

The present application relates to the technical field of curtain walls and discloses a measuring device for processing double-curved aluminum plates. It includes: a detection truss frame body for providing a movable support structure; a laser detection instrument installed on the detection truss frame body for performing three-dimensional scanning on the double-curved aluminum plate and generating point cloud data; a reference calibration instrument for calibrating the reference position of the detection truss frame body; a control module for scanning the ground plane reference corresponding to the measuring device for processing through the reference calibration instrument, obtaining the X-axis deviation value and Y-axis deviation value between the detection truss frame body and the ground plane reference and the Z-axis deviation value corresponding to the detection truss frame body; controlling the reference calibration instrument to calibrate the reference position of the detection truss frame body according to the X-axis deviation value, Y-axis deviation value and Z-axis deviation value; and also controlling the laser detection instrument to walk along a preset path and execute a scanning program to generate a three-dimensional format file, and performing fitting comparison with the design model corresponding to the double-curved aluminum plate to complete the three-dimensional shape detection of the double-curved aluminum plate.

Description

Technical Field

[0001] This application relates to the technical field of curtain walls, and particularly to a measuring device for processing double-curved aluminum plates. Background Art

[0002] The existing detection technologies for double-curved aluminum plates mainly rely on manual operations or specific detection tools. Manual operations usually involve visual inspections and the use of measuring tools (such as calipers and angle gauges) to measure the dimensions and shapes of aluminum plates. Custom fixture detection uses specially designed jigs or templates, which are manufactured according to the expected shapes and dimensions of aluminum plates and are used to check whether the aluminum plates meet the specified geometric parameters.

[0003] Custom fixtures are usually made of materials such as wood, aluminum, or rubber and can simulate the shapes of double-curved aluminum plates for shape and size comparison. In mass production, these fixtures can reduce the time of manual measurement and improve the consistency of detection. However, for double-curved aluminum plates with complex or irregular shapes, the production cost of custom fixtures is high and the flexibility is low. Although the existing technologies can meet the detection requirements of double-curved aluminum plates to a certain extent, there are the following problems and disadvantages:

[0004] 1. The efficiency and accuracy of manual operations are limited: Manual detection relies on the experience and skills of operators and is easily affected by factors such as subjective judgment and fatigue, resulting in low accuracy of detection results.

[0005] 2. The limitations of custom fixtures: The production cycle of custom fixtures is long, the cost is high, and once the shape or size of the aluminum plate changes, the original fixtures may not be usable and need to be redesigned and manufactured.

[0006] 3. The 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. The perfect scanning of a single-piece product usually takes at least 30 minutes, which is a relatively large time cost in the production process.

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

[0008] Therefore, there is an urgent need for a measuring device for processing double-curved aluminum plates 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 problems existing in the prior art such as limited efficiency and accuracy of manual operation, limitations of customized fixtures, high costs and high time investment of three-dimensional scanning technology, production losses, and cost control.

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

[0011] A detection truss frame for providing a movable support structure;

[0012] A laser detection instrument installed on the detection truss frame for performing three-dimensional scanning on the hyperbolic aluminum plate and generating point cloud data;

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

[0014] A control module for scanning the ground plane reference corresponding to the measuring device for processing through the reference calibration instrument to obtain the X-axis deviation value and Y-axis deviation value between the detection truss frame and the ground plane reference; obtaining the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value; and controlling the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value.

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

[0016] In some embodiments, the step of scanning the ground plane reference corresponding to the measuring device for processing through the reference calibration instrument to obtain the X-axis deviation value and 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 the ground plane reference; fitting the point cloud data of the ground plane reference measured by the multi-point synchronous scanning through 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 respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value.

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

[0018] In some embodiments, obtaining the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value includes: 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 devices are triggered, using the laser detection instrument to repeatedly scan the preset measurement plane of the reference positioning block for multiple times; obtaining the maximum extreme value in the Z-axis direction during multiple scans as the height reference reference plane; calculating the standard height difference between the current measurement plane and the height reference reference plane, and using the standard height difference as the Z-axis deviation value.

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

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

[0022] In some embodiments, a fitting comparison is performed on the design model corresponding to the hyperbolic aluminum plate 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.

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

[0024] Exemplarily, the output of the processing parameter suggestions for the secondary forming area, including milling depth, angle compensation amount, and pressure correction value, includes: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation amount of each hypercritical point position of the differential geometry model; calculating the milling depth according to the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, where the value range of the material plastic deformation coefficient is 0.05 - 0.2; determining the angle compensation amount by using the vector analysis method according to the machining plane coordinates and the normal deviation amount; calculating the pressure correction value according to the elastic modulus, sheet 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, providing flexibility and adaptability for scanning. A laser detection instrument: installed on the truss, performing three-dimensional scanning and generating high-precision point cloud data. A reference calibration instrument: used to calibrate the spatial reference position of the truss, which is specifically realized through the following steps: scanning the ground plane reference to obtain the X / Y axis deviation values; determining the Z axis height reference and deviation values through corner point reference scanning; performing dynamic calibration by synthesizing the three-axis deviation values to ensure that the measurement reference is aligned with the design model. A control module: driving the laser detection instrument to scan according to a preset path, generating a three-dimensional format file; fitting and comparing the point cloud data with the design model to generate a detection report and secondary forming area guidance data for guiding processing correction.

[0026] This device presents the following innovative advantages for the pain points of the existing technology:

[0027] 1. Improving efficiency and accuracy: Automated calibration and scanning path control replace manual operations, reducing human errors and significantly improving the 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 the dependence on traditional jigs.

[0028] 2. Cost reduction and resource waste reduction: By performing high-precision point cloud fitting and comparison, quickly locate the formed defect areas, generate secondary processing guidance data, and reduce material trial-and-error losses; without the need for customized fixtures, reduce equipment investment and maintenance costs, and adapt to various complex curved surface detection scenarios.

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

[0030] In summary, this solution constructs a full-process closed-loop for hyperbolic aluminum plate inspection by integrating dynamic reference correction, automated scanning, and intelligent data analysis, and has the characteristics of high efficiency, precision, and economy. It is particularly suitable for quality control of high-precision curved surface components in fields such as building curtain walls and aerospace.

[0031] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit this application. Description of the Drawings

[0032] To more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0033] Figure 1 It is a schematic structural diagram of a measuring device for hyperbolic aluminum plate processing provided by an embodiment of this application;

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

[0035] Figure 3 It is a schematic flow chart of the steps of a measuring method for hyperbolic aluminum plate processing provided by an embodiment of this application;

[0036] Figure 4 It is a schematic block diagram of the structure of a control module provided by an embodiment of this application.

[0037] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit this application. Detailed Embodiments

[0038] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the scope of protection of the present application.

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

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

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

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

[0043] Next, some embodiments of the present application will be described in detail in conjunction with the accompanying drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0044] The existing detection technology for hyperbolic aluminum plates mainly relies on manual operation or specific detection tools. Manual operation usually involves visual inspection and the use of measuring tools (such as calipers and angle gauges) to measure the size and shape of the aluminum plates. Customized fixture detection uses specially designed jigs or templates, which are manufactured according to the expected shape and size of the aluminum plates and are used to check whether the aluminum plates meet the specified geometric parameters.

[0045] Custom fixtures are usually made of materials such as wood, aluminum, or rubber, and can simulate the shape of hyperbolic aluminum plates for shape and size comparison. In mass production, these fixtures can reduce the time of manual measurement and improve the consistency of detection. However, for hyperbolic aluminum plates with complex or irregular shapes, the production cost of custom fixtures is high and the flexibility is low. Although the existing technologies can meet the detection requirements of hyperbolic aluminum plates to a certain extent, there are the following problems and disadvantages:

[0046] 1. Limited efficiency and accuracy of manual operation: Manual inspection relies on the experience and skills of the operator and is easily affected by factors such as subjective judgment and fatigue, resulting in low accuracy of inspection results.

[0047] 2. Limitations of custom fixtures: The production cycle of custom fixtures is long and the cost is high. Once the shape or size of the aluminum plate changes, the original fixture may not be usable 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 inspection results, the equipment purchase cost is high, and the scanning process requires manual operation. The perfect scanning of a single piece usually takes at least 30 minutes, which is a large time cost in the production process.

[0049] 4. Production loss and cost control problems: In mass production, due to inaccurate inspection and trimming, material waste and low production efficiency are likely to occur. In small batch production, due to excessive investment in the bottom mold, it is difficult to control the production cost.

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

[0051] To solve the above problems, please refer to Figure 1, this application provides a measuring device for processing hyperbolic aluminum plates, which is used to detect the hyperbolic aluminum plate 21 arranged on the base 22. The measuring device for processing hyperbolic aluminum plates 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 on the hyperbolic aluminum plate and generate point cloud data; a reference calibration 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 measuring device through the reference calibration instrument, obtain the X-axis deviation value and 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 by scanning the corner point reference to obtain the Z-axis deviation value; control the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, Y-axis deviation value and 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 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 forming area guidance data, and complete the three-dimensional shape detection of the hyperbolic aluminum plate.

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

[0053] The detection truss frame can adopt a modular movable truss design, which is usually composed of lightweight and high-rigidity materials (such as aluminum alloy or carbon fiber) and spans the production line or detection area. The truss is equipped with a multi-axis motion system (such as XYZ three-axis guide rails), which can cover all detection areas of the hyperbolic aluminum plate. As the carrier of the laser detection instrument and the reference calibration instrument, it realizes high-precision positioning through servo motor drive, and the moving accuracy can reach ±0.1 mm, ensuring the full coverage of the scanning path.

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

[0055] The reference calibration instrument can integrate a laser rangefinder, an inclination sensor and a vision positioning module, and is installed at the key nodes of the truss (which can be installed at other positions corresponding to the actual needs). Figure 1 Corresponding to the rest of the positions outside).

[0056] By scanning the ground reference marking points through the laser rangefinder (such as at Figure 1Embed a reflector at the corresponding position), and calculate the deviation values (ΔX, ΔY) of the truss X / Y axis from the standard coordinate system. Use the vision module to identify the three-dimensional coordinates of the corner points of the aluminum plate, and combine the data of the inclination sensor to compensate for the deflection of the truss to determine the Z-axis reference (ΔZ). After calibration, continuously monitor the deformation of the truss during the movement process, and adjust the position in real time through algorithms such as PID.

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

[0058] The specific usage method of this device can be as follows: Install the detection truss body beside the production line and level it through anchor bolts to ensure that the level error < 0.02 mm / m. Arrange an array of reference points on the ground in the detection area (spaced 2 m apart, with an accuracy of ±0.05 mm), 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 offset, and compensate. The vision system captures the corner points of the aluminum plate and combines laser ranging to determine the Z-axis zero point, which takes less than 3 minutes. After the operator fixes the aluminum plate to be tested on the detection platform, start the automatic scanning: The truss moves at a speed of 0.5 m / s along the preset path, and the laser scanner continuously collects data. The scanning time for a single-piece standard-sized aluminum plate (3 m × 2 m) is shortened to 5 - 8 minutes (80% faster than traditional 3D scanning).

[0059] At the same time, after the point cloud is denoised and filtered, perform the least squares fitting with the design model to generate a detection report containing the following content: overall profile error (RMS value); coordinates and deviation amounts of local out-of-tolerance areas (annotated to 0.01 mm); automatically generated shaping suggestions (such as milling 0.3 mm in a specified area).

[0060] This device solves the core pain points in the field of hyperbolic aluminum plate detection through the innovation of electromechanical software integration, and promotes the high-end aluminum processing in fields such as building curtain walls and aerospace into a new stage of intelligent detection.

[0061] This 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 this invention are mainly reflected in the following aspects:

[0063] 1. Improve detection accuracy and efficiency: By adopting a sensor array and automated data processing, the present invention eliminates the subjective errors of manual operations 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 of the present invention does not rely on customized fixtures and can adapt to aluminum plates of different shapes and sizes without the need to separately manufacture expensive fixtures for each type of aluminum plate, thereby reducing costs and improving the flexibility of the detection system.

[0065] 3. Reduce production losses: Since the present invention can provide accurate detection results and trimming guidance, it can significantly reduce material waste in the production process and improve the utilization rate of materials.

[0066] 4. Save costs: The detection system of the present invention reduces the need for manual operations and customized fixtures, reducing labor costs and fixture manufacturing costs. At the same time, due to the improved detection accuracy, unnecessary trimming and reprocessing are reduced, thereby saving raw materials and energy consumption.

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

[0068] In summary, compared with the prior art, the present invention has significantly improved in terms of productivity, quality, accuracy, and efficiency, while saving energy consumption, raw materials, and processes. In addition, the present invention simplifies the complexity of processing, operation, control, and use and effectively controls environmental pollution.

[0069] In some embodiments, the step of obtaining the X-axis deviation value and Y-axis deviation value of the detection truss frame body from the ground plane reference by scanning the ground plane reference corresponding to the processing measurement device with a reference calibration instrument includes: controlling the laser detection instrument to perform multi-point synchronous scanning on 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 a spatial coordinate transformation calculation on the current position coordinates of the detection truss frame body and the reference plane coordinate system, and respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value.

[0070] This embodiment proposes a specific calculation method for the X / Y axis deviation value, including: synchronously scanning multiple points on the ground plane reference points; fitting the reference plane coordinate system by the least squares method; calculating the X / Y axis deviation of the truss through coordinate transformation. For example, 4 reference points (such as ceramic reflector sheets) can be arranged on the ground with a spacing of 2m×2m; the laser ranging array synchronously scans at a speed of 10 points per 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, which is decomposed into the X / Y axis deviation vector.

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

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

[0073] The ranging unit uses a phase-type laser sensor; the array is orthogonally distributed and symmetrically arranged along the diagonal.

[0074] For example, the ranging array is composed of 8 groups of sensors, among which: there are 2 groups in the X / Y axis directions respectively, 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; when data is collected, all sensors are synchronously triggered, and the measurement data is aligned through the hardware time stamp.

[0075] Eliminate the measurement error caused by the deformation of the truss through the symmetric layout; the phase-type laser resists ambient light interference to ensure stability under workshop conditions.

[0076] In some embodiments, the obtaining of the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value includes: 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 end 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 multiple times; obtaining the maximum extreme value in the Z-axis direction in multiple scans as the height reference reference plane; calculating the standard height difference between the current measurement plane and the height reference reference plane, and the standard height difference is used as the Z-axis deviation value.

[0077] Set pressure-triggered reference blocks at the corner points of the forming equipment; trigger the mechanical locking through the contact sensor; take the Z-axis extreme value in multiple scans as the height reference.

[0078] If a piezoelectric sensor (sensitivity ≥ 5N) is built into the reference positioning block, the position is locked after triggering; the contact sensor is an LVDT displacement probe with a measuring force of 0.5N ± 0.1N; the laser scanner performs 5 repeated scans on the upper surface of the reference block, and the maximum Z value is taken after excluding outliers outside ±3σ.

[0079] In some embodiments, controlling the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value; generating a truss frame inclination compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial attitude of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame inclination 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 inclination compensation angle; adjusting the truss spatial attitude. Through spatial compensation, the alignment error between the measurement coordinate system and the design model is ≤ 0.05mm; dynamic attitude adjustment adapts to the thermal deformation of the truss to ensure long-term working stability.

[0081] The compensation matrix formula includes:

[0082] ;

[0083] , , respectively represent the compensation amounts in the XYZ directions, and the inclination angle θ is measured in real time by the inclination angle sensor at the end of the truss. 、 、 are the deviation values corresponding to the XYZ three axes respectively. Among them, the measurement range of θ is ±5°, and the resolution is 0.0001°; the update frequency of the compensation matrix 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; controlling the laser detection instrument to perform scanning according to the equidistant spiral scanning path.

[0085] The preset path is an equidistant spiral line generated according to the curvature of the design model. The spacing of the spiral line is adaptive according to the curvature (the default spacing is 2 mm, and it is encrypted to 0.5 mm when the curvature > 0.01 / mm). Compared with raster scanning, the spiral path reduces the idle travel, shortening the scanning time; the curvature is related to 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 further includes: during the scanning process, dynamically adjusting the scanning density of the equidistant spiral scanning path to complete the scanning; adopting a scanning density with a point distance of 0.5 mm for the area where the curvature radius of the hyperbolic aluminum plate is less than 500 mm, and adopting a scanning density with a point distance of 2 mm for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500 mm.

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

[0088] ;

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

[0090] f′′(x) (the second derivative) represents the degree of bending (concavity and convexity) of the curve at the point xx, that is, the acceleration of the height change of the aluminum plate surface. The positive and negative signs represent the bending direction (positive: concave upward, negative: concave downward), and 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 derivative and the first derivative can be estimated from the discrete point cloud.

[0091] is a normalization factor that eliminates the influence of parameterization (such as the scanning path speed) on the curvature calculation and ensures that the curvature is a geometric invariant. When the surface is close to 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) is a quantitative index characterizing the local bending degree of the aluminum plate surface, where the curvature radius R = 1 / . =0 represents 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 amount of redundant data 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 designed surface corresponding to the design model 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 based on 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 use 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 false judgment rate drops to 0.1%.

[0098] Exemplarily, the processing parameter suggestions for the output secondary forming area, including the milling depth, angle compensation amount, and pressure correction value, include: establishing a differential geometry model of a three-dimensional surface based on the deviation distribution, and calculating the principal curvature and normal deviation amount of each hypercritical point of the differential geometry model; calculating the milling depth according to the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, where the value range of the material plastic deformation coefficient is 0.05 - 0.2; determining the angle compensation amount using vector analysis based on the processing plane coordinates and the normal deviation amount; calculating the pressure correction value according to the elastic modulus, sheet thickness, and equipment efficiency coefficient corresponding to the hyperbolic aluminum sheet.

[0099] Calculate the principal curvature and normal deviation through the differential geometry model; calculate the milling depth according to the plastic coefficient; determine the angle compensation by vector analysis.

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

[0101] The milling depth formula is:

[0102] ;

[0103] Δn (normal deviation) represents the maximum deviation value between the actual surface and the design model in the normal direction. In a typical aluminum sheet processing scenario: 0.1 mm ≤ Δn ≤ 3.0 mm; meanwhile, when Δn > 5.0 mm, multiple milling operations are required.

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

[0105] In some embodiments, such as Figure 2As shown in the figure, after the hyperbolic aluminum plate is formed into a curved surface, the device moves to the calibration position of the hyperbolic aluminum plate equipment; the equipment limit mechanism is fixed, and the equipment is started; the calibration program is automatically started. Relying on the reference calibration detector, the ground plane reference is scanned to feedback the deviation values of the X and Y axes, and the equipment reference compensation values are automatically entered; then the corner reference scan is started to automatically detect the Z-axis height reference, check the deviation compensation of the reference position, and automatically adjust it to the reference zero position; then the scanning program is executed, 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 graph is detected to generate a three-dimensional format file, and the comparison software is used to fit and align it with the design model; the detection report and the guiding secondary forming area are generated through automatic comparison; thus, the overall use process of the equipment is completed.

[0106] This application provides a measuring device for processing hyperbolic aluminum plates, which includes: a detection truss frame: as a movable support structure, providing flexibility and adaptability for scanning. A laser detection instrument: installed on the truss, performing three-dimensional scanning and generating high-precision point cloud data. A reference 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 deviation values of the X / Y axes; determining the Z-axis height reference and deviation values through corner reference scanning; dynamically calibrating the comprehensive three-axis deviation values to ensure that the measurement reference is aligned with the design model. A control module: driving the laser detection instrument to scan according to a preset path to generate a three-dimensional format file; fitting and comparing the point cloud data with the design model to generate a detection report and guiding data for the secondary forming area to guide processing and correction.

[0107] This device proposes the following innovative advantages for the pain points of the existing technology:

[0108] 1. Improve efficiency and accuracy: Automated calibration and scanning path control replace manual operations, reducing human errors and significantly improving the 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 the dependence on traditional jigs.

[0109] 2. Reduce costs and waste of resources: Through high-precision point cloud fitting and comparison, quickly locate the defective forming areas, generate guiding data for secondary processing, reduce material trial-and-error losses; no need for customized jigs, reduce equipment investment and maintenance costs, and adapt to various complex curved surface detection scenarios.

[0110] 3. Support for digital production: The digital interaction between the detection report and the design model provides a data basis for process optimization, promoting the upgrade of hyperbolic aluminum plate processing to intelligence and standardization.

[0111] In summary, by integrating dynamic reference calibration, automated scanning, and intelligent data analysis, this solution constructs a full-process closed-loop for the detection of hyperbolic aluminum plates, combining high efficiency, precision, and economy, and is particularly suitable for the quality control of high-precision curved components in fields such as building curtain walls and aerospace.

[0112] Please refer to Figure 3 , Figure 3 which is a schematic flow chart of a measurement method for processing hyperbolic aluminum plates provided by an embodiment of the present application. The execution device of the method is the control module of the measurement device for processing hyperbolic aluminum plates provided by any embodiment of the present application.

[0113] As Figure 3 shown, the provided method includes steps S101 to S104. Among them, the control module can be a handheld terminal, a laptop computer, a wearable device, or a robot, etc. It is used to implement steps S101 to S104 and their corresponding embodiments.

[0114] Step S101. Scan the ground plane reference corresponding to the measurement device for processing through a reference calibration instrument, and obtain the X-axis deviation value and Y-axis deviation value between the detection truss frame and the ground plane reference.

[0115] Specifically, use a reference calibration instrument (such as a laser level or a total station) to scan the ground plane reference in the installation area, and establish a coordinate system mapping relationship between the detection truss frame and the ground plane. By multi-point sampling (such as ≥4 points) to fit the ground plane equation, calculate the deviation values (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, and use the least squares method to fit the ideal plane to calculate the offset between the actual coordinates of the frame and the theoretical plane.

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

[0117] Specifically, use a corner point reference scanner (such as a high-precision laser rangefinder or a structured light scanner) to perform vertical direction (Z-axis) positioning on the four corner points of the detection truss. Calculate the Z-axis height of each corner point through triangulation, and compare it with the theoretical height in the design model to generate the Z-axis deviation value (ΔZ). For example, scan the preset reflective identification points (diameter 10mm) at the four corners of the truss, and use an image recognition algorithm to locate the three-dimensional coordinates of the corner points.

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

[0119] Specifically, drive the electric adjustment mechanism (such as servo motor + ball screw) of the detection truss according to the ΔX, ΔY, and ΔZ values to dynamically correct the spatial pose of the truss and ensure its alignment with the ground plane reference and the design model.

[0120] Step S104. Control the laser detection instrument to travel along a preset path and execute a scanning program, generate a three-dimensional format file based on the point cloud data obtained 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 forming area guiding data, thereby completing the three-dimensional shape detection of the hyperbolic aluminum plate.

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

[0122] In some embodiments, the step of scanning the ground plane reference corresponding to the processing measurement device by the reference calibration instrument to obtain the X-axis deviation value and 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 the ground plane reference; fitting the point cloud data of the ground plane reference measured by the multi-point synchronous scanning through 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 respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value.

[0123] Exemplarily, the step of controlling the laser detection instrument to perform multi-point synchronous scanning on the ground plane reference includes: controlling the laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning on the ground plane reference, where the laser ranging array is composed of multiple groups of orthogonally distributed ranging units; and the ranging unit adopts a phase-type laser ranging sensor with an accuracy of ±0.01 mm and is symmetrically arranged along the diagonal of the detection truss frame.

[0124] In some embodiments, obtaining the Z-axis height reference corresponding to the detection truss frame through corner reference scanning to obtain the Z-axis deviation value includes: setting pressure-triggered reference positioning blocks at the four corners 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 devices are triggered, using the laser detection instrument to repeatedly scan the preset measurement plane of the reference positioning block for multiple times; obtaining the maximum extreme value in the Z-axis direction during multiple scans as the height reference plane; calculating the standard height difference between the current measurement plane and the height reference plane, and using the standard height difference 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, Y-axis deviation value and Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, Y-axis deviation value and Z-axis deviation value; generating the truss frame tilt compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial attitude 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; controlling the laser detection instrument to perform scanning according to the equidistant spiral scanning path.

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

[0128] In some embodiments, performing fitting comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary forming area guidance data includes: calculating the deviation distribution between the actual scanned surface corresponding to the hyperbolic aluminum plate and the design surface corresponding to the design model 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.

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

[0130] Exemplarily, the processing parameter suggestions for the output secondary forming area, including the milling depth, angle compensation amount, and pressure correction value, include: establishing a differential geometry model of a three-dimensional surface based on the deviation distribution, and calculating the principal curvature and normal deviation amount of each hypercritical point of the differential geometry model; calculating the milling depth according to the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, where the value range of the material plastic deformation coefficient is 0.05 - 0.2; determining the angle compensation amount according to the processing plane coordinates and the normal deviation amount by using the vector analysis method; 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 those skilled in the art can clearly understand that for the convenience and conciseness of description, the above-described measurement method for hyperbolic aluminum plate processing and the specific working processes of each step can refer to the corresponding processes in the embodiment of the measurement device for hyperbolic aluminum plate processing described in the above embodiments, and will not be elaborated here.

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

[0133] The measurement module for hyperbolic aluminum plate processing includes:

[0134] A first acquisition unit, configured to scan the ground plane reference corresponding to the measurement device for processing through a reference calibration instrument, and acquire the X-axis deviation value and Y-axis deviation value of the detection truss frame body from the ground plane reference;

[0135] A second acquisition unit, configured 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, configured to control the reference calibration instrument to calibrate the reference position of the detection truss frame body according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value;

[0137] A detection completion unit is used to control a laser detection instrument to move along a preset path and execute a scanning program, generate a three-dimensional format file based on the point cloud data obtained by executing 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 forming area guidance data, thereby completing the three-dimensional shape detection of the hyperbolic aluminum plate.

[0138] In some embodiments, the step of scanning the ground plane reference corresponding to the processing measurement device by the reference calibration instrument to obtain the X-axis deviation value and 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 the ground plane reference; fitting the point cloud data of the ground plane reference 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 respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value.

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

[0140] In some embodiments, the step of obtaining the Z-axis height reference corresponding to the detection truss frame by corner point reference scanning to obtain the Z-axis deviation value includes: 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 end of the detection truss frame; after the mechanical locking devices are triggered, using the laser detection instrument to repeatedly scan the preset measurement plane of the reference positioning blocks for multiple times; obtaining the maximum extreme value in the Z-axis direction during multiple scans as the height reference reference plane; calculating the standard height difference between the current measurement plane and the height reference reference plane, and using the standard height difference as the Z-axis deviation value.

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

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

[0144] In some embodiments, fitting and comparing with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary forming area guiding data includes: 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.

[0145] 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, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0146] Exemplarily, outputting the processing parameter suggestions for the secondary forming area, including milling depth, angle compensation amount, and pressure correction value, includes: establishing a differential geometry model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation amount of each hyperbolic point position of the differential geometry model; calculating the milling depth according to the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, and the value range of the material plastic deformation coefficient is 0.05 - 0.2; determining the angle compensation amount by using the vector analysis method according to the processing plane coordinates and the normal deviation amount; 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 those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the measurement module and each unit for processing the hyperbolic aluminum plate described above can refer to the corresponding processes in the embodiments of the measurement method for processing the hyperbolic aluminum plate described in the above embodiments, and will not be elaborated here.

[0148] The above measurement method for processing hyperbolic aluminum plates is implemented in the form of a computer program that can run on the above module.

[0149] Please refer to Figure 4 , Figure 4 which is a schematic block diagram of the control module provided by an embodiment of the present application. The control module includes a processor, a memory, and a network interface connected through a device bus. Among them, 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 that, when executed, can cause the processor to execute any embodiment of the measurement method for processing hyperbolic aluminum plates.

[0151] The processor is used to provide computing and control capabilities to 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, it can cause the processor to execute any measurement method 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 can understand that Figure 4 the structure shown in

[0154] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the terminal to which the solution 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 different component arrangements.

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

[0156] Step S101. Scan the ground plane reference corresponding to the measuring device for processing by a reference calibration instrument to obtain the X-axis deviation value and Y-axis deviation value of the detection truss frame relative to the ground plane reference;

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

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

[0159] Step S104. Control the laser detection instrument to move along a preset path and execute a scanning program. Generate a three-dimensional format file based on the point cloud data obtained 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 forming area guiding data, completing the three-dimensional shape detection of the hyperbolic aluminum plate.

[0160] In some embodiments, the step of scanning the ground plane reference corresponding to the measuring device for processing by a reference calibration instrument to obtain the X-axis deviation value and Y-axis deviation value of the detection truss frame relative to the ground plane reference includes: controlling the laser detection instrument to perform multi-point synchronous scanning on 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 respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value.

[0161] Exemplarily, the controlling the laser detection instrument to perform multi-point synchronous scanning on the ground plane reference includes: controlling the laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning on the ground plane reference, where the laser ranging array is composed of multiple groups of orthogonally distributed ranging units; and the ranging unit adopts a phase-type laser ranging sensor with an accuracy of ±0.01 mm and is symmetrically arranged along the diagonal of the detection truss frame.

[0162] In some embodiments, the step of obtaining the Z-axis height reference corresponding to the detection truss frame through corner point reference scanning to obtain the Z-axis deviation value includes: 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 devices are triggered, using the laser detection instrument to perform multiple repeated scans on the preset measurement plane of the reference positioning blocks; obtaining the maximum extreme value in the Z-axis direction during multiple scans as the height reference reference plane; calculating the standard height difference between the current measurement plane and the height reference reference plane, and using the standard height difference as the Z-axis deviation value.

[0163] In some embodiments, controlling the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value includes: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, Y-axis deviation value, and Z-axis deviation value; generating a truss frame inclination compensation angle corresponding to the detection truss frame according to the three-dimensional space coordinate compensation matrix; adjusting the spatial attitude of the detection truss frame according to the three-dimensional space coordinate compensation matrix and the truss frame inclination 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 travel 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; controlling the laser detection instrument to perform scanning according to the equidistant spiral scanning path.

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

[0166] In some embodiments, fitting and comparing with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary forming area guidance data includes: 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 key dimension error list, 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.

[0167] 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, and when it is greater than 0.5 mm, it is marked as a red out-of-tolerance area.

[0168] Exemplarily, the processing parameter suggestions for the output secondary forming area, including milling depth, angle compensation amount, and pressure correction value, are as follows: Establish a differential geometry model of a three-dimensional surface based on the deviation distribution, and calculate the principal curvature and normal deviation amount of each hypercritical point of the differential geometry model; calculate the milling depth based on the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, where the value range of the material plastic deformation coefficient is 0.05 - 0.2; determine the angle compensation amount using the vector analysis method based on the processing plane coordinates and the normal deviation amount; calculate the pressure correction value based on the elastic modulus, sheet thickness, and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

[0169] It should be noted that those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the above-described processor can refer to the corresponding process in the method embodiments described in the above-mentioned various embodiments, and will not be elaborated here.

[0170] In an embodiment of the present application, a computer-readable storage medium is further provided. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. The processor executes the program instructions to implement the steps of the hyperbolic aluminum plate processing measurement method provided in the above-mentioned various embodiments of the present application.

[0171] Among them, the computer-readable storage medium may be an internal storage unit of the control module described in the foregoing embodiments, such as the 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 equipped on the control module, a smart media card (SMC), a secure digital (SD) card, a flash card, etc.

[0172] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and these modifications or substitutions should be covered within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A measuring device for processing hyperbolic aluminum plates, characterized in that, Including: A detection truss frame for providing a movable support structure; A laser detection instrument installed on the detection truss frame for three-dimensional scanning of the hyperbolic aluminum plate and generating point cloud data; A reference calibration instrument for calibrating the reference position of the detection truss frame; A control module for scanning the ground plane reference corresponding to the processing measurement device through the reference calibration instrument to obtain the X-axis deviation value and Y-axis deviation value between the detection truss frame and the ground plane reference, including: controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference; fitting the point cloud data of the ground plane reference measured by multi-point synchronous scanning through 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 respectively outputting the vector deviation values corresponding to the X-axis and Y-axis to obtain the X-axis deviation value and Y-axis deviation value; obtaining the Z-axis height reference corresponding to the detection truss frame 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 to sequentially trigger the mechanical locking devices corresponding to the reference positioning blocks through the contact sensors at the end of the detection truss frame; after the mechanical locking device is triggered, using the laser detection instrument to repeatedly scan the preset measurement plane of the reference positioning block for multiple times; obtaining the maximum extreme value in the Z-axis direction during multiple scans as the height reference reference plane; calculating the standard height difference between the current measurement plane and the height reference reference plane, and using the standard height difference as the Z-axis deviation value; controlling the reference calibration instrument to calibrate the reference position of the detection truss frame according to the X-axis deviation value, Y-axis deviation value and Z-axis deviation value, including: establishing a three-dimensional space coordinate compensation matrix according to the X-axis deviation value, Y-axis deviation value and 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 attitude 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; The control module also controls the laser detection instrument to walk along a preset path and execute a scanning program, including: 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; controlling the laser detection instrument to perform scanning according to the equidistant spiral scanning path; generating a three-dimensional format file based on the point cloud data obtained by executing the scanning program, and performing fitting comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary forming area guiding data to complete the three-dimensional shape detection of the hyperbolic aluminum plate.

2. The device according to claim 1, wherein The controlling the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference includes: Controlling the laser ranging array corresponding to the laser detection instrument to perform multi-point synchronous scanning of the ground plane reference, and the laser ranging array is composed of multiple groups of orthogonally distributed ranging units; Wherein the ranging unit uses a phase-type laser ranging sensor with an accuracy of ±0.01 mm and is symmetrically arranged along the diagonal of the detection truss frame.

3. The device according to claim 1, characterized in that Controlling the laser detection instrument to scan according to the equidistant spiral scan path further includes: During the scanning process, dynamically adjusting the scanning density of the equidistant spiral scan path to complete the scanning; for the area where the curvature radius of the hyperbolic aluminum plate is less than 500 mm, a scanning density with a point distance of 0.5 mm is adopted, and for the area where the curvature radius of the hyperbolic aluminum plate is greater than 500 mm, a scanning density with a point distance of 2 mm is adopted.

4. The device according to claim 1, characterized in that, Performing fitting comparison with the design model corresponding to the hyperbolic aluminum plate to generate a detection report and secondary forming area guiding 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.

5. The device according to claim 4, 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.

6. The device according to claim 5, characterized in that, Outputting processing parameter suggestions for the secondary forming area, including milling depth, angle compensation amount, and pressure correction value, including: Establishing a differential geometric model of the three-dimensional surface according to the deviation distribution, and calculating the principal curvature and normal deviation amount of each hypercritical point position of the differential geometric model; Calculating the milling depth according to the normal deviation amount, principal curvature, and a preset material plastic deformation coefficient, and the value range of the material plastic deformation coefficient is from 0.05 to 0.2; Determining the angle compensation amount by using the vector analysis method according to the machining plane coordinates and the normal deviation amount; Calculating the pressure correction value according to the elastic modulus, plate thickness, and equipment efficiency coefficient corresponding to the hyperbolic aluminum plate.

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