A method, system, and device for shot peening correction based on projection augmented reality.

Abstract

This invention belongs to the field of aerospace manufacturing technology, and provides a shot peening correction method, system, and equipment based on projection augmented reality. The shot peening correction method based on projection augmented reality includes: measuring the shape of a panel under weak rigidity conditions; establishing a constitutive model that describes the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves; predicting the correction process based on the constitutive model; visually locating the projected workpiece; and projecting the correction process information into three-dimensional space. This invention addresses the engineering bottlenecks of poor inheritance and low process efficiency in manual correction of complex-shaped panel structures. It breaks through technologies such as precise local measurement of complex-shaped weak rigidity panels and visualization of the correction process based on projection augmented reality, achieving a correction accuracy of less than 0.2 mm for complex-shaped panels and improving correction efficiency by more than 80%.

Description

Technical Field

[0001] This invention relates to the field of aerospace manufacturing technology, and in particular to a shot peening correction method, system and equipment based on projection augmented reality. Background Technology

[0002] With the increasing demand for long-range and high-reliability service in aircraft, the forming precision requirements for aircraft panels are becoming increasingly stringent. The aerodynamic shape precision of next-generation aircraft is even less than 0.2mm in some areas. Aircraft panels not only require high shape precision but also bear complex loads, acting as the "armor" of the entire airframe. The complex structural features of aircraft panels, including thickened bosses, frames, and integral stringers, pose challenges to precise forming. Shot peening is a simple process requiring no specialized molds or presses, offering strong process adaptability and is widely used in the forming of integral panels for aircraft wings and fuselages. It has become the preferred method for forming integral panels for large aircraft wings. However, shot peening involves numerous process parameters and lacks mold control for shape, increasing the difficulty of achieving the required forming precision. After CNC shot peening with shot media, ultrasonic shot peening is often used to correct the shape in specific areas of the part to achieve the final shape precision requirements. Ultrasonic shot peening uses high-frequency, high-power ultrasonic waves as its energy source. It converts internal energy into high-energy-density mechanical energy and acts on the surface of the part. Its deformation principle on the part material is basically the same as that of shot peening. With its advantages of generating large deformation energy, high flexibility, good portability, and improving the surface performance of parts, it plays an irreplaceable role in the manufacturing process of large and complex wall panels.

[0003] Projection augmented reality (AR) technology is an augmented reality method that directly presents virtual information on the surface of real-world objects. Applied to the precise alignment process of wall panels, AR technology projects the location and process information of the shot peening operation directly onto the actual surface of the wall panel to be aligned, based on the alignment process planning. This guides workers to gradually complete the secondary precise alignment of the wall panel according to the projected information, reducing labor intensity and improving the digitalization level of manual shot peening operations. Based on this, we are developing an AR device for precise alignment of wall panels, researching the system coordinate system transformation relationships, projector-camera module calibration, PnP algorithm, and 3D spatial projection algorithm involved, to achieve high-precision, distortion-free, and dynamic projection-assisted assembly to meet the application requirements of the alignment process.

[0004] Currently, ultrasonic shot peening for panel forming lacks digital measurement methods. Operators mainly rely on feeler gauges to measure the gap between the part and the inspection template, and use handheld ultrasonic shot peening equipment to form the panel parts. This results in low efficiency, over-reliance on human experience, low process continuity, and poor batch production quality stability. Future advanced aircraft panel forming precision requirements will be increasingly stringent, and the existing ultrasonic shot peening technology, which relies on operator experience, will struggle to meet the demands of high-efficiency, high-volume, and sustainable processing. Summary of the Invention

[0005] This invention addresses the engineering bottlenecks of poor inheritance and low process efficiency in manual shaping of complex-shaped wall panels. It proposes a shot peening shaping method, system, and equipment based on projection augmented reality, which can improve the shaping accuracy of complex-shaped wall panels and significantly increase the shaping efficiency.

[0006] In a first aspect, the present invention provides a shot peening correction method based on projection augmented reality, comprising: Based on the weak rigidity condition, the shape of the panel is measured, and a constitutive model that can describe the stress-strain behavior of aluminum alloy under high frequency ultrasonic waves is established. Based on the constitutive model, the correction process is predicted, the projected workpiece is visually positioned, and the correction process information is projected into three-dimensional space.

[0007] Furthermore, the measurement of the panel shape based on the weak rigidity condition includes: Using a non-contact measurement system, preliminary data registration is performed based on the variance minimization algorithm. The geometric accuracy of each region is represented by the mean square error, which reflects the accuracy of the region. The density of the point cloud is calculated by measuring the area of ​​the region represented by the measurement point. A composite factor is constructed using the geometric accuracy of the region, the density of the point cloud, and important key features for weighted registration.

[0008] Furthermore, the establishment of a constitutive model capable of describing the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves includes: Based on the deformation mechanism, microstructure, and room temperature mechanical property changes obtained from the experimental analysis, the influence of ultrasonic shock on the stress-strain behavior of aluminum alloys was investigated. Based on the microstructure evolution, a pre-deformation factor is introduced to characterize the deformation, microstructure and room temperature mechanical properties across scales. By combining a multi-objective genetic optimization algorithm, the fitting and optimization of material constant values ​​are performed in the MATLAB toolbox to establish a complete stress-strain constitutive model for aluminum alloys.

[0009] Further, the step of predicting the correction process based on the constitutive model includes: Establish a process parameter optimization method that includes features with different curved surfaces, varying thicknesses, and protrusions, and whose optimization variables include the correction area and correction energy; It realizes the reverse process from the formation of the target surface to the inherent stress and strain distribution, and then to the design of ultrasonic shot peening correction parameters; A process planning method based on distributed intrinsic moment optimization was developed to achieve shot peening correction parameter design based on the target surface.

[0010] Furthermore, the visual positioning of the projected workpiece includes: Uncoded reflective markers are used as positioning references to perform visual positioning of the projected workpiece, and high-precision measuring equipment is used to obtain the actual three-dimensional coordinates of the target. The two-dimensional coordinates of the target center in the image are identified, and then the PNP algorithm is used to solve the pose data of the panel relative to the system.

[0011] Furthermore, the process of projecting the calibration process information into three-dimensional space includes: The uncoded reflective marks on the wall panel were measured using photogrammetry equipment to determine their three-dimensional coordinates in the workpiece coordinate system. The two-dimensional coordinates of the marked points in the image are identified, and the PNP algorithm is used to solve the pose of the workpiece relative to the optical projection guidance system, so as to realize the projection of process information.

[0012] Furthermore, it also includes: In the virtual space coordinate system, the three-dimensional point coordinates on the panel model represent the shot peening correction position, and then the image point of the three-dimensional point at the correction position is calculated; Different colors are used to represent the deviation of the alignment points, and the alignment process information of the wall panel to be aligned is projected using a projector.

[0013] Secondly, the present invention provides a shot peening correction system based on projection augmented reality, comprising: The model building module is used to measure the shape of the panel based on the weak rigidity condition and to establish a constitutive model that can describe the stress-strain behavior of aluminum alloy under high frequency ultrasonic waves. The process projection module is used to predict the correction process based on the constitutive model, perform visual positioning of the workpiece to be projected, and project the correction process information into three-dimensional space.

[0014] Thirdly, the present invention provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the shot peening correction method based on projection augmented reality as described above.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the projection augmented reality-based shot peening correction method as described above.

[0016] The above-described technical solution of the present invention has the following advantages: The first aspect of this invention provides a shot peening and straightening method based on projection augmented reality. This method establishes a constitutive model describing the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves by measuring the shape of a panel under weak rigidity conditions. Based on this constitutive model, the method predicts the straightening process, visually positions the projected workpiece, and projects the straightening process information into three-dimensional space. Addressing the engineering bottlenecks of poor inheritance and low process efficiency in manual straightening of complex-shaped panels, this method overcomes the limitations of precise local measurement of complex-shaped weak rigidity panels and visualization of the straightening process based on projection augmented reality. This results in a straightening accuracy of less than 0.2 mm for complex-shaped panels and an improvement in straightening efficiency of over 80%.

[0017] It is understood that the beneficial effects of the second, third and fourth aspects mentioned above can be found in the relevant descriptions in the first aspect above, and will not be repeated here. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 A flowchart of a shot peening correction method based on projection augmented reality provided in an embodiment of the present invention. Detailed Implementation

[0020] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0021] It should be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0022] Furthermore, in the description of this invention and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0023] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of the invention include a particular feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized. "A plurality" means "two or more."

[0024] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0025] This invention provides a shot peening correction method based on projection augmented reality, such as... Figure 1 As shown, the process includes the following steps: measuring the shape of the panel based on the weak rigidity condition, establishing a constitutive model that can describe the stress-strain behavior of aluminum alloy under high-frequency ultrasonic waves; predicting the straightening process based on the constitutive model, visually locating the projected workpiece, and projecting the straightening process information into three-dimensional space.

[0026] In some embodiments, the panel shape measurement based on weak rigidity conditions includes: using a non-contact measurement system, performing preliminary data registration based on a variance minimization algorithm, using the mean square error to represent the geometric accuracy of each region, and the mean square error reflecting the accuracy of the region; calculating the density of the point cloud by the area of ​​the region represented by the measurement point, and constructing a composite factor for weighted registration using the geometric accuracy of the region, the density of the point cloud, and important key features.

[0027] In some embodiments, establishing a constitutive model capable of describing the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves includes: exploring the influence of ultrasonic shock on the stress-strain behavior of aluminum alloys based on the deformation mechanism, microstructure, and room-temperature mechanical property changes obtained from experimental analysis; introducing a pre-deformation factor based on microstructure evolution to characterize deformation, microstructure, and room-temperature mechanical properties across scales; and combining a multi-objective genetic optimization algorithm to perform fitting optimization of material constant values ​​in the MATLAB toolbox to establish a complete stress-strain constitutive model for aluminum alloys.

[0028] In some embodiments, the process prediction based on the constitutive model includes: establishing a process parameter optimization method that includes features such as different curved surfaces, varying thicknesses, and protrusions, and whose optimization variables include the correction region and correction energy; realizing the reverse process from the forming target surface to the inherent stress and strain distribution, and then to the ultrasonic shot peening correction parameter design; forming a process planning method based on distributed inherent moment optimization to realize the shot peening correction parameter design based on the target surface.

[0029] In some embodiments, the visual positioning of the projected workpiece includes: using an uncoded reflective marker as a positioning reference to perform visual positioning of the projected workpiece; using a high-precision measuring device to obtain the actual three-dimensional coordinates of the target; identifying the two-dimensional coordinates of the target center in the image; and then using the PNP algorithm to solve the pose data of the panel relative to the system.

[0030] In some embodiments, the process of projecting the alignment process information into three-dimensional space includes: measuring the uncoded reflective marks on the wall panel using a photogrammetric device to determine their three-dimensional coordinates in the workpiece coordinate system; identifying the two-dimensional coordinates of the mark points in the image; and using the PNP algorithm to solve the pose of the workpiece relative to the optical projection guidance system to realize the projection of the process information.

[0031] In some embodiments, the method further includes: representing the shot peening and straightening position with the coordinates of three-dimensional points on the panel model in a virtual spatial coordinate system, and then calculating the image point of the three-dimensional point at the straightening position; using different colors to represent the deviation of the straightening point, and projecting the straightening process information of the panel to be straightened using a projector.

[0032] (1) Measurement of panel shape under weak rigidity conditions To address the weak rigidity of complex wall panels, a suitable support device is designed before measurement. Non-contact measurement points are preprocessed, and a strategy for acquiring surface data using the feature point method is employed. The feature extraction theory of curves and surfaces is analyzed, and an improved straight-line angle algorithm is planned based on polygon approximation theory. Using a non-contact measurement system, a model registration method considering the accuracy differences of feature regions is proposed: preliminary registration is performed based on a variance minimization algorithm, with the mean square error (MSE) representing the geometric accuracy of each region, reflecting the region's precision. The density of the point cloud is calculated using the area represented by the measurement points. Key features, such as important holes, are considered as important registration benchmarks. Taking all these factors into account, a composite factor is constructed using the region's geometric accuracy, the density of the point cloud, and important key features for weighted registration. This ensures high registration accuracy for high-precision regions and low registration accuracy for low-precision regions, achieving optimal configuration between the measurement data and the theoretical model. The calculated wall panel position and contour errors are thus more suitable for actual conditions.

[0033] (2) Establish a constitutive model that can describe the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves. Based on fundamental theories and modeling experience, a constitutive model capable of describing the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves is established. According to experimental analysis of the deformation mechanism, microstructure, and room-temperature mechanical property changes during stress variation, the influence of ultrasonic shock on the stress-strain behavior of aluminum alloys is investigated. A pre-deformation factor is introduced based on microstructure evolution, thereby enabling cross-scale characterization of deformation, microstructure, and room-temperature mechanical properties. Combining a multi-objective genetic optimization algorithm, material constant values ​​are fitted and optimized using the MATLAB toolbox to establish a complete stress-strain constitutive model for aluminum alloys.

[0034] (3) Precision shaping process prediction A process parameter optimization method is established for different curved surfaces, varying thicknesses, and features with bosses, with optimization variables including the correction area and correction energy. This method realizes the reverse process from the target surface to the inherent stress and strain distribution, and then to the ultrasonic shot peening correction parameter design. It forms a distributed inherent moment optimization process planning method, realizes the shot peening correction parameter design based on the target surface, and provides a foundation for the next step of establishing a vision-assisted system.

[0035] (4) High-precision visual positioning A universal, uncoded reflective marker is used as a positioning reference for visual positioning of the projected workpiece. First, the actual three-dimensional coordinates of the target are obtained using high-precision measuring equipment. Then, the system identifies the two-dimensional coordinates of the target center in the image, and finally uses the PNP algorithm to solve for the pose data of the panel relative to the system.

[0036] (5) Three-dimensional spatial projection of calibration process information Photogrammetry equipment is used to measure the uncoded reflective marks on the wall panel to determine their three-dimensional coordinates in the workpiece coordinate system; the two-dimensional coordinates of the mark points in the image are identified, and the PNP algorithm is used to solve the pose of the workpiece relative to the optical projection guidance system to realize the projection of process information.

[0037] In the virtual space coordinate system, the three-dimensional point coordinates on the wall panel model represent the shot peening and straightening position. Then, the image point of the three-dimensional point of the straightening position is calculated, and the deviation of the straightening point is represented by different colors. Then, the straightening process information of the wall panel to be straightened can be projected using a projector.

[0038] For typical structural panel shot peening forming parts, ultrasonic shot peening is performed on the parts after CNC shot peening forming according to the method of this invention, and the gap between the outer shape and the mold after correction is no more than 0.2mm.

[0039] The shot peening and straightening method based on projection augmented reality provided in this invention addresses the engineering bottlenecks of poor inheritance and low process efficiency in the manual straightening of complex-shaped structural panels. It breaks through technologies such as local accurate measurement of complex-shaped weak rigid panels and visualization of the straightening process based on projection augmented reality, making the straightening accuracy of complex-shaped panels less than 0.2mm and improving the straightening efficiency by more than 80%.

[0040] Corresponding to the shot peening correction method based on projection augmented reality described in the above embodiments, this invention also provides a shot peening correction system based on projection augmented reality, which includes: The model building module is used to measure the shape of the panel based on the weak rigidity condition and to establish a constitutive model that can describe the stress-strain behavior of aluminum alloy under high frequency ultrasonic waves. The process projection module is used to predict the correction process based on the constitutive model, perform visual positioning of the workpiece to be projected, and project the correction process information into three-dimensional space.

[0041] It should be noted that the information interaction and execution process between the above modules / units are based on the same concept as the method embodiments of the present invention. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0042] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this invention. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0043] This invention also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the projection augmented reality-based shot peening correction method provided in the first aspect.

[0044] In applications, terminal devices may include, but are not limited to, processors and memory. These are merely examples of terminal devices and do not constitute a limitation on them. They may include more or fewer components, combinations of certain components, or different components, such as input / output devices and network access devices. Input / output devices may include cameras, audio capture / playback devices, displays, etc. Network access devices may include network modules for wireless network communication with external devices.

[0045] In applications, the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0046] In applications, the memory may be an internal storage unit of the terminal device in some embodiments, such as the hard drive or RAM of the terminal device. In other embodiments, the memory may be an external storage device of the terminal device, such as a plug-in hard drive, a smart media card (SMC), or a flash card. The memory may also include both internal and external storage units of the terminal device. The memory is used to store the operating system, applications, boot loader, data, and other programs, such as the program code of a computer program. The memory can also be used to temporarily store data that has been output or will be output.

[0047] This invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can implement the steps in the above-described method embodiments.

[0048] The present invention implements all or part of the processes in the methods of the above embodiments by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.

[0049] Those skilled in the art will recognize that the device and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0050] In the embodiments provided by this invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be through some interfaces, or indirect couplings or communication connections between devices, and may be electrical, mechanical, or other forms.

[0051] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A shot peening correction method based on projection augmented reality, characterized in that, include: Based on the weak rigidity condition, the shape of the panel is measured, and a constitutive model that can describe the stress-strain behavior of aluminum alloy under high frequency ultrasonic waves is established. Based on the constitutive model, the correction process is predicted, the projected workpiece is visually positioned, and the correction process information is projected into three-dimensional space.

2. The shot peening correction method based on projection augmented reality as described in claim 1, characterized in that, The measurement of the wall panel shape based on the weak rigidity condition includes: Using a non-contact measurement system, preliminary data registration is performed based on the variance minimization algorithm. The geometric accuracy of each region is represented by the mean square error, which reflects the accuracy of the region. The density of the point cloud is calculated by measuring the area of ​​the region represented by the measurement point. A composite factor is constructed using the geometric accuracy of the region, the density of the point cloud, and important key features for weighted registration.

3. The shot peening correction method based on projection augmented reality as described in claim 1, characterized in that, The establishment of a constitutive model capable of describing the stress-strain behavior of aluminum alloys under high-frequency ultrasonic waves includes: Based on the deformation mechanism, microstructure, and room temperature mechanical property changes obtained from the experimental analysis, the influence of ultrasonic shock on the stress-strain behavior of aluminum alloys was investigated. Based on the microstructure evolution, a pre-deformation factor is introduced to characterize the deformation, microstructure and room temperature mechanical properties across scales. By combining a multi-objective genetic optimization algorithm, the fitting and optimization of material constant values ​​are performed in the MATLAB toolbox to establish a complete stress-strain constitutive model for aluminum alloys.

4. The shot peening correction method based on projection augmented reality as described in claim 1, characterized in that, The step of predicting the correction process based on the constitutive model includes: Establish a process parameter optimization method that includes features with different curved surfaces, varying thicknesses, and protrusions, and whose optimization variables include the correction area and correction energy; It realizes the reverse process from the formation of the target surface to the inherent stress and strain distribution, and then to the design of ultrasonic shot peening correction parameters; A process planning method based on distributed intrinsic moment optimization was developed to achieve shot peening correction parameter design based on the target surface.

5. The shot peening correction method based on projection augmented reality as described in claim 1, characterized in that, The visual positioning of the projected workpiece includes: Uncoded reflective markers are used as positioning references to perform visual positioning of the projected workpiece, and high-precision measuring equipment is used to obtain the actual three-dimensional coordinates of the target. The two-dimensional coordinates of the target center in the image are identified, and then the PNP algorithm is used to solve the pose data of the panel relative to the system.

6. The shot peening correction method based on projection augmented reality as described in claim 5, characterized in that, The process of projecting the calibration process information into three-dimensional space includes: The uncoded reflective marks on the wall panel were measured using photogrammetry equipment to determine their three-dimensional coordinates in the workpiece coordinate system. The two-dimensional coordinates of the marked points in the image are identified, and the PNP algorithm is used to solve the pose of the workpiece relative to the optical projection guidance system, so as to realize the projection of process information.

7. The shot peening correction method based on projection augmented reality as described in claim 6, characterized in that, Also includes: In the virtual space coordinate system, the three-dimensional point coordinates on the panel model represent the shot peening correction position, and then the image point of the three-dimensional point at the correction position is calculated; Different colors are used to represent the deviation of the alignment points, and the alignment process information of the wall panel to be aligned is projected using a projector.

8. A shot peening correction system based on projection augmented reality, characterized in that, include: The model building module is used to measure the shape of the panel based on the weak rigidity condition and to establish a constitutive model that can describe the stress-strain behavior of aluminum alloy under high frequency ultrasonic waves. The process projection module is used to predict the correction process based on the constitutive model, perform visual positioning of the workpiece to be projected, and project the correction process information into three-dimensional space.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the shot peening correction method based on projection augmented reality as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the shot peening correction method based on projection augmented reality as described in any one of claims 1 to 7.

Images