Aviation thin-wall complex part forming precision laser three-dimensional scanning detection system

Abstract

The invention discloses a laser three-dimensional scanning detection system for the forming precision of an aviation thin-wall complex part, and relates to the technical field of three-dimensional scanning of thin-wall complex parts, and the system comprises the steps: obtaining an experiment scanning model based on a qualified aviation thin-wall complex part; obtaining an experiment offset distance based on the experiment scanning model; obtaining the number of detection anomalies of different experimental scanning dot densities based on the experimental offset distance; obtaining a dot density threshold value based on the number of detected anomalies; obtaining a threshold distribution function based on the dot density threshold; acquiring a real-time detection side width, and acquiring a real-time scanning density based on the real-time detection side width and the threshold distribution function; and acquiring a real-time scanning model based on the real-time scanning density, and judging whether the to-be-detected aviation thin-wall complex part is qualified based on the real-time scanning model. The method and the device are used for solving the problem that in the prior art, the thin-wall complex part is scanned by adopting the fixed dot density, so that the scanning efficiency and precision are difficult to be balanced.

Description

Technical Field

[0001] This invention relates to the field of three-dimensional scanning technology for thin-walled complex parts, specifically a laser three-dimensional scanning inspection system for the forming accuracy of thin-walled complex aerospace parts. Background Technology

[0002] In the precision manufacturing of thin-walled complex aerospace parts, features such as sidewalls, flanges, vertical ribs, and the internal sides of deep cavity structures are not secondary geometric elements, but core areas that bear critical aerodynamic, force transmission, and assembly functions. The contour, perpendicularity, relative position to the reference plane, and shape accuracy of these sides directly determine the structural efficiency, fuel space sealing, and coordinated assembly quality with adjacent components. Therefore, full-size, high-precision three-dimensional geometric inspection of thin-walled sides is an indispensable part of evaluating the overall forming accuracy of the parts. Dot density is one of the most critical parameters affecting imaging quality and accuracy in laser 3D scanning. If the dot density is set too low, it will affect the imaging effect; if the dot density is too high, it will increase the scanning time. Because the sides of thin-walled parts are relatively thin, existing technologies use a fixed dot density for scanning, which makes it difficult to achieve a balance between scanning efficiency and accuracy for thin-walled complex parts. In other words, existing technologies use a fixed dot density to scan thin-walled complex parts, which makes it difficult to achieve a balance between scanning efficiency and accuracy. Summary of the Invention

[0003] This invention aims to at least partially solve one of the technical problems in the prior art by obtaining an experimental scanning model based on a qualified thin-walled complex aerospace component; obtaining an experimental offset distance based on the experimental scanning model; obtaining the number of detected anomalies for different experimental scanning dot densities based on the experimental offset distance; obtaining a dot density threshold based on the number of detected anomalies; obtaining a threshold distribution function based on the dot density threshold; obtaining the real-time detection side width; obtaining the real-time scanning density based on the real-time detection side width and the threshold distribution function; obtaining a real-time scanning model based on the real-time scanning density; and determining whether the thin-walled complex aerospace component to be inspected is qualified based on the real-time scanning model. This solves the problem in the prior art where scanning thin-walled complex components with a fixed dot density makes it difficult to balance scanning efficiency and accuracy.

[0004] To achieve the above objectives, this application provides a laser three-dimensional scanning inspection system for the forming accuracy of aerospace thin-walled complex parts, including: an experimental model acquisition module, an experimental data acquisition module, an anomaly detection module, a density threshold acquisition module, a function acquisition module, a real-time data acquisition module, and a detection module; The experimental model acquisition module is used to acquire experimental scanning models based on qualified aerospace thin-walled complex parts; The experimental data acquisition module is used to obtain the experimental offset distance based on the experimental scanning model; The anomaly detection module is used to obtain the number of anomalies detected at different experimental scanning dot densities based on the experimental offset distance; The density threshold acquisition module is used to acquire the network density threshold based on the number of detected anomalies. The function acquisition module is used to acquire a threshold distribution function based on the dot density threshold. The real-time data acquisition module is used to acquire the real-time detection side width and to acquire the real-time scanning density based on the real-time detection side width and the threshold distribution function. The detection module is used to obtain a real-time scanning model based on the real-time scanning density, and to determine whether the thin-walled complex aerospace component to be inspected is qualified based on the real-time scanning model.

[0005] Furthermore, the experimental model acquisition module is configured with an experimental model acquisition strategy, which includes: Obtain qualified thin-walled complex aerospace parts and mark them as qualified aerospace parts for testing; Obtain the side of the thin-walled part from the qualified aircraft component and mark it as the experimental thin-walled side. The width of the thin-walled side of a qualified aircraft component is marked as the experimental thin-wall width. The dot density of the laser 3D scan of the qualified aerospace parts is marked as the experimental scan dot density. Under the same experimental thin-wall width, laser three-dimensional scanning was performed on qualified aerospace parts with different experimental scanning dot densities to obtain models, which were then marked as experimental scanning models.

[0006] Furthermore, the experimental data acquisition configuration includes an experimental data acquisition strategy, which comprises: Obtain a model of a standard thin-walled complex aerospace component and label it as a standard aerospace component model; The thin-walled side of the experimental scanning model is marked as the experimental scanning side. The experimental scanning model was placed on the same side as the standard aerospace part model, and the first number of coordinate points were obtained on the side of the experimental scanning model and marked as the experimental side coordinate points. Draw a cross section of the experimental scanning side through each coordinate point of the experimental side and mark it as the experimental cross section; Draw a perpendicular line from the coordinate point on the side of the experiment to the experimental section, and mark it as the experimental perpendicular line; The side of the standard aerospace model that is compared with the side of the experimental scan is marked as the standard side. Obtain the intersection point of the experimental vertical line and the standard lateral surface, and mark it as the experimental intersection point; Obtain the average distance between all experimental side coordinate points and their corresponding experimental intersection points, and mark it as the experimental offset distance.

[0007] Furthermore, the anomaly detection module is configured with an anomaly detection strategy, which includes: Obtain the maximum allowable error value for complex thin-walled aerospace parts and mark it as the standard offset threshold; If the experimental offset distance is greater than the standard offset threshold, it is considered unqualified and the detection density is deemed abnormal. Mark the width of the standard side as the standard side width; The number of density anomalies detected under a second number of different experimental scan dot densities at the same standard width is obtained and marked as the number of detected anomalies.

[0008] Furthermore, the density threshold acquisition module is configured with an anomaly observation coordinate point acquisition strategy, which includes: A Cartesian coordinate system was established with the experimental scan dot density as the horizontal axis data and the number of detected anomalies as the vertical axis data, and this system was marked as the anomaly observation coordinate system. The experimental scanning dot density and the corresponding number of detected anomalies were plotted on the anomaly observation coordinate system as the x and y coordinates of the data points, respectively. Mark the data points in the anomaly observation coordinate system as anomaly observation coordinate points.

[0009] Furthermore, the density threshold acquisition module is configured with a quantity distribution threshold acquisition strategy, the quantity distribution threshold acquisition strategy including: Obtain the length of the horizontal axis of all anomaly observation coordinate points in the anomaly observation coordinate system, and label it as D1; Establish two straight lines parallel to the vertical axis of the anomaly observation coordinate system, with a width of D2 between the two lines. Mark the space between the two lines as the real-time moving space, which can move left and right. The quantity distribution threshold is calculated as: A = f × (D2 ÷ D2) × S2; where A is the quantity distribution threshold, f is the set proportion, and S2 is the second quantity.

[0010] Furthermore, the density threshold acquisition module is configured with a dot density threshold acquisition strategy, which includes: The total number of detected anomalies corresponding to all anomaly observation coordinates within the real-time mobile space is marked as the real-time judgment count. The real-time moving space is moved until the maximum x-coordinate of the real-time moving space is equal to the x-coordinate of the largest anomaly observation point. Then, the real-time moving space is moved to the left while the number of real-time judgments and the quantity distribution threshold are compared. When the number of real-time judgments is greater than or equal to the quantity distribution threshold, the real-time moving space is stopped. The experimental scan dot density corresponding to the maximum x-coordinate of the real-time moving space at this time is obtained and marked as the dot density threshold.

[0011] Furthermore, the function acquisition module is configured with a function acquisition strategy, which includes: Obtain the dot density threshold for different standard side widths; A planar coordinate system is established with the standard width of the side as the horizontal axis value and the dot density threshold as the vertical axis value, and it is marked as the threshold distribution coordinate system. The standard width of the side and the corresponding dot density threshold are plotted on the threshold distribution coordinate system as the x and y coordinates of the data points, respectively. Mark the data points in the threshold distribution coordinate system as threshold distribution coordinate points; The function is obtained by fitting a function to all the threshold distribution coordinate points, and it is labeled as the threshold distribution function.

[0012] Furthermore, the real-time data acquisition module is configured with a real-time scan density acquisition strategy, which includes: The side width of the thin wall in the complex thin-walled aerospace component to be inspected is marked as the side width to be detected in real time; The real-time detected side width is substituted into the threshold distribution function as the horizontal axis value to obtain the vertical axis data, which is then labeled as the real-time scan density.

[0013] Furthermore, the detection module is configured with a detection strategy, which includes: The real-time scanning density is used as the dot density of the laser 3D scanning to obtain a 3D model of the thin-walled complex aerospace part to be inspected, and it is marked as the real-time scanning model. The quality of a thin-walled complex aerospace component to be inspected is determined based on a real-time scanning model and a standard aerospace component model.

[0014] The beneficial effects of this invention are as follows: This invention obtains an experimental scanning model based on a qualified aerospace thin-walled complex part; obtains an experimental offset distance based on the experimental scanning model; obtains the number of detected anomalies for different experimental scanning dot densities based on the experimental offset distance; obtains a dot density threshold based on the number of detected anomalies; obtains a threshold distribution function based on the dot density threshold; obtains the real-time detection side width; obtains the real-time scanning density based on the real-time detection side width and the threshold distribution function; obtains a real-time scanning model based on the real-time scanning density; and determines whether the aerospace thin-walled complex part to be inspected is qualified based on the real-time scanning model. The advantage is that it can set different dot density scans for different thin-wall thicknesses, thereby achieving a balance between scanning efficiency and accuracy. This invention obtains real-time scanning density by detecting the side width and threshold distribution function in real time. Its advantage is that it can set an appropriate dot density for scanning based on the real-time thin wall thickness, thereby achieving a balance between scanning efficiency and accuracy. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the system of the present invention; Figure 2 This is a schematic diagram of the dot density threshold of the present invention; Figure 3 This is a schematic diagram of the threshold distribution function of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1, please refer to Figure 1 As shown, this application provides a laser three-dimensional scanning inspection system for the forming accuracy of aerospace thin-walled complex parts, including an experimental model acquisition module, an experimental data acquisition module, an anomaly detection module, a density threshold acquisition module, a function acquisition module, a real-time data acquisition module, and a detection module; The experimental model acquisition module is used to acquire experimental scanning models based on qualified aerospace thin-walled complex parts; The experimental model acquisition module is configured with an experimental model acquisition strategy, which includes: Obtain qualified thin-walled complex aerospace parts and mark them as qualified aerospace parts for testing; Obtain the side of the thin-walled part from the qualified aircraft component and mark it as the experimental thin-walled side. The width of the side of the thin-walled part in the qualified aircraft component is marked as the experimental thin-wall width; that is, the thickness of the thin wall. The dot density of the laser 3D scan of the qualified aerospace parts is marked as the experimental scan dot density. Under the same experimental thin-wall width, laser 3D scanning was performed on qualified aerospace parts using different experimental scanning dot densities to obtain models, which were then marked as experimental scanning models. This facilitates the determination of whether experimental scanning models obtained by scanning with different experimental scanning dot densities are qualified.

[0018] The experimental data acquisition module is used to obtain the experimental offset distance based on the experimental scanning model; The experimental data acquisition configuration includes an experimental data acquisition strategy, which includes: Obtain a model of a standard thin-walled complex aerospace component and label it as a standard aerospace component model; The thin-walled side of the experimental scanning model is marked as the experimental scanning side. The experimental scanning model is placed on the same side as the standard aerospace part model. The first number of coordinate points are obtained on the side of the experimental scanning model and marked as experimental side coordinate points. This facilitates the comparison of anomalies in the generated model. The experimental side coordinate points are used to determine whether there is an anomaly. Therefore, the larger the first number is set, the more accurate the detection results will be. For example, the first number is 10,000. Draw a cross section of the experimental scanning side through each coordinate point of the experimental side and mark it as the experimental cross section; Draw a perpendicular line from the coordinate point on the side of the experiment to the experimental section, and mark it as the experimental perpendicular line; The side of the standard aerospace model that is compared with the side of the experimental scan is marked as the standard side. Obtain the intersection point of the experimental vertical line and the standard lateral surface, and mark it as the experimental intersection point; Obtain the average distance between all experimental side coordinate points and their corresponding experimental intersection points, and mark it as the experimental offset distance; the experimental offset distance is the error value that occurs.

[0019] The anomaly detection module is used to obtain the number of detected anomalies based on the experimental offset distance and the density of the scanning dots in different experiments. The anomaly detection module is configured with anomaly detection strategies, which include: Obtain the maximum allowable error value for aerospace thin-walled complex parts and mark it as the standard offset threshold; qualified aerospace thin-walled complex parts are within the error value range; If the experimental offset distance is greater than the standard offset threshold, it is considered unqualified and identified as an abnormal detection density; this means that an unqualified model is generated based on a qualified aerospace thin-walled complex part, that is, the set dot density is too low, resulting in abnormal three-dimensional imaging. The width of the standard side is marked as the standard side width; the standard side width is the standard thickness of the thin wall of a complex thin-walled aerospace component. Under the same standard side width, the number of density anomalies detected under a second number of different experimental scan dot densities is obtained and marked as the number of detected anomalies. This facilitates obtaining the minimum dot density value for normal 3D scanning under different standard side widths; therefore, the second number should not be too small. For example, if the second number is 2000, the range of experimental scan dot density is 0 to 100 pst / mm. 2 ; 5 pst / mm interval 2 Obtain the number of density anomalies detected under 100 experimental scan dot densities; if the number of detected anomalies is small, the model based on the experimental scan dot density is qualified.

[0020] The density threshold acquisition module is used to obtain the dot density threshold based on the number of detected anomalies; The density threshold acquisition module is configured with an anomaly observation coordinate point acquisition strategy, which includes: A Cartesian coordinate system was established with the experimental scan dot density as the horizontal axis data and the number of detected anomalies as the vertical axis data, and this system was marked as the anomaly observation coordinate system. The experimental scanning dot density and the corresponding number of detected anomalies were plotted on the anomaly observation coordinate system as the x and y coordinates of the data points, respectively. Mark the data points in the anomaly observation coordinate system as anomaly observation coordinate points; For practical applications, please refer to Figure 2 As shown, the coordinates of the abnormal observation points were obtained.

[0021] The density threshold acquisition module is configured with a quantity distribution threshold acquisition strategy, which includes: Obtain the length of the horizontal axis of all anomaly observation points in the anomaly observation coordinate system, labeled D1; D1 represents the range length of the experimental scan dot density. (See also...) Figure 2 As shown, D1 ranges from 0 to 100, that is, D1 is 100; Establish two straight lines parallel to the vertical axis of the anomaly observation coordinate system, with a width of D2 between the two lines. Mark the space between the two lines as the real-time moving space, which can be moved left and right. The real-time moving space is used to observe the number of detected anomalies corresponding to the density of the experimental scanning dots; therefore, D2 should not be set too large, for example, D2 is 5. The number distribution threshold is calculated as: A = f × (D2 ÷ D2) × S2; where A is the number distribution threshold, f is the set ratio, and S2 is the second quantity. When the number of detected anomalies is small, the model based on the experimental scanning dot density is qualified. The number distribution threshold is the set qualified value. (D2 ÷ D2) × S2 is 100 for each experimental scanning dot density scan and judgment quantity. Please refer to Figure 2. The moving space can include the number of detected anomalies corresponding to two experimental scanning dot densities. For example, if 100 are set, less than or equal to 3 are qualified, i.e., f is 0.06. That is, the number distribution threshold is: A = 0.06 × (5 ÷ 100) × 2000 = 6.

[0022] The density threshold acquisition module is configured with a dot density threshold acquisition strategy, which includes: The total number of detected anomalies corresponding to all anomaly observation coordinates within the real-time mobile space is marked as the real-time judgment count. The real-time moving space is moved until the x-coordinate of the largest anomalous observation point in the real-time moving space is equal to the x-coordinate of the largest anomalous observation point. Then, the real-time moving space is moved to the left while simultaneously comparing the number of real-time judgments with the quantity distribution threshold. When the number of real-time judgments is greater than or equal to the quantity distribution threshold, the real-time moving space is stopped. The experimental scan dot density corresponding to the largest x-coordinate in the real-time moving space at this time is obtained and marked as the dot density threshold. The dot density threshold is the minimum dot density that can meet the requirements of a qualified 3D scan. In practical applications, under the condition that the standard side width is 0.12mm, the coordinates of the anomaly observation point are obtained. The real-time moving space is moved until the maximum x-coordinate of the real-time moving space is equal to the x-coordinate of the maximum anomaly observation point. Then, the real-time moving space is moved to the left, while simultaneously judging the magnitude of the real-time judgment number and the quantity distribution threshold. When the real-time judgment number (7) is greater than or equal to the quantity distribution threshold, the movement of the real-time moving space is stopped. Please refer to [link / reference]. Figure 2 As shown, the stopping position of the real-time moving space is obtained, and the experimental scanning dot density (85 pst / mm) corresponding to the maximum horizontal coordinate of the real-time moving space at this time is obtained. 2 The dot density threshold is 85 pst / mm. 2 .

[0023] The function acquisition module is used to obtain the threshold distribution function based on the dot density threshold; The function retrieval module is configured with a function retrieval strategy, which includes: Obtain the dot density threshold for different standard side widths; A planar coordinate system is established with the standard width of the side as the horizontal axis value and the dot density threshold as the vertical axis value, and it is marked as the threshold distribution coordinate system. The standard width of the side and the corresponding dot density threshold are plotted on the threshold distribution coordinate system as the x and y coordinates of the data points, respectively. Mark the data points in the threshold distribution coordinate system as threshold distribution coordinate points; The function is obtained by fitting all threshold distribution coordinate points to a function, and is marked as the threshold distribution function. The threshold distribution function is the minimum dot density of qualified 3D scan corresponding to different standard side widths. This facilitates the comparison of different real-time detection side widths to obtain different real-time scan densities. For practical applications, please refer to Figure 3 The threshold distribution function is shown in the figure.

[0024] The real-time data acquisition module is used to obtain the real-time detection side width and obtain the real-time scan density based on the real-time detection side width and the threshold distribution function. The real-time data acquisition module is configured with a real-time scan density acquisition strategy, which includes: The side width of the thin wall in the complex thin-walled aerospace component to be inspected is marked as the side width to be detected in real time; The real-time detected side width is substituted into the threshold distribution function to obtain the vertical axis data, which is then marked as the real-time scanning density. In practical applications, for example, if the real-time detected side width is 0.16mm, please refer to [link / reference]. Figure 3 As shown, substituting 0.16 mm as the horizontal axis value into the threshold distribution function yields 52 pst / mm. 2 The real-time scanning density is 52 pst / mm. 2 .

[0025] The detection module is used to obtain a real-time scanning model based on the real-time scanning density, and to determine whether the thin-walled complex aerospace parts to be inspected are qualified based on the real-time scanning model. The detection module is configured with detection strategies, which include: The real-time scanning density is used as the dot density for laser 3D scanning. Laser 3D scanning is used to obtain a 3D model of the thin-walled complex aerospace part to be inspected, which is marked as the real-time scanning model. The real-time scanning model can accurately scan the model and save scanning time, thus achieving a balance between scanning efficiency and accuracy. The quality of a thin-walled complex aerospace component under inspection is determined by comparing a real-time scanning model with a standard aerospace component model; the size comparison of the models can be achieved using existing technologies. In practical applications, with 52 pst / mm 2 The dot density is used as the basis for laser 3D scanning to obtain a 3D model of the thin-walled complex aerospace component to be inspected, and then it is marked as the real-time scanning model.

[0026] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0027] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings or direct couplings or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

Claims

1. A laser three-dimensional scanning inspection system for the forming accuracy of complex thin-walled aerospace parts, characterized in that, include: The module includes an experimental model acquisition module, an experimental data acquisition module, an anomaly detection and judgment module, a density threshold acquisition module, a function acquisition module, a real-time data acquisition module, and a detection module. The experimental model acquisition module is used to acquire experimental scanning models based on qualified aerospace thin-walled complex parts; The experimental data acquisition module is used to obtain the experimental offset distance based on the experimental scanning model; The anomaly detection module is used to obtain the number of anomalies detected at different experimental scanning dot densities based on the experimental offset distance; The density threshold acquisition module is used to acquire the network density threshold based on the number of detected anomalies. The function acquisition module is used to acquire a threshold distribution function based on the dot density threshold. The real-time data acquisition module is used to acquire the real-time detection side width and to acquire the real-time scanning density based on the real-time detection side width and the threshold distribution function. The detection module is used to obtain a real-time scanning model based on the real-time scanning density; and to determine whether the thin-walled complex aerospace component to be inspected is qualified based on the real-time scanning model.

2. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 1, characterized in that, The experimental model acquisition module is configured with an experimental model acquisition strategy, which includes: Obtain qualified thin-walled complex aerospace parts and mark them as qualified aerospace parts for testing; Obtain the side of the thin-walled part from the qualified aircraft component and mark it as the experimental thin-walled side. The width of the thin-walled side of a qualified aircraft component is marked as the experimental thin-wall width. The dot density of the laser 3D scan of the qualified aerospace parts is marked as the experimental scan dot density. Under the same experimental thin-wall width, laser three-dimensional scanning was performed on qualified aerospace parts with different experimental scanning dot densities to obtain models, which were then marked as experimental scanning models.

3. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 2, characterized in that, The experimental data acquisition module is configured with an experimental data acquisition strategy, which includes: Obtain a model of a standard thin-walled complex aerospace component and label it as a standard aerospace component model; The thin-walled side of the experimental scanning model is marked as the experimental scanning side. The experimental scanning model was placed on the same side as the standard aerospace part model, and the first number of coordinate points were obtained on the side of the experimental scanning model and marked as the experimental side coordinate points. Draw a cross section of the experimental scanning side through each coordinate point of the experimental side and mark it as the experimental cross section; Draw a perpendicular line from the coordinate point on the side of the experiment to the experimental section, and mark it as the experimental perpendicular line; The side of the standard aerospace model that is compared with the side of the experimental scan is marked as the standard side. Obtain the intersection point of the experimental vertical line and the standard lateral surface, and mark it as the experimental intersection point; Obtain the average distance between all experimental side coordinate points and their corresponding experimental intersection points, and mark it as the experimental offset distance.

4. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 3, characterized in that, The anomaly detection module is configured with an anomaly detection strategy, which includes: Obtain the maximum allowable error value for complex thin-walled aerospace parts and mark it as the standard offset threshold; If the experimental offset distance is greater than the standard offset threshold, it is considered unqualified and the detection density is deemed abnormal. Mark the width of the standard side as the standard side width; The number of density anomalies detected under a second number of different experimental scan dot densities at the same standard width is obtained and marked as the number of detected anomalies.

5. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 4, characterized in that, The density threshold acquisition module is configured with an abnormal observation coordinate point acquisition strategy, which includes: A Cartesian coordinate system was established with the experimental scan dot density as the horizontal axis data and the number of detected anomalies as the vertical axis data, and this system was marked as the anomaly observation coordinate system. The experimental scanning dot density and the corresponding number of detected anomalies were plotted on the anomaly observation coordinate system as the x and y coordinates of the data points, respectively. Mark the data points in the anomaly observation coordinate system as anomaly observation coordinate points.

6. The laser three-dimensional scanning inspection system for forming precision of complex thin-walled aerospace parts according to claim 5, characterized in that, The density threshold acquisition module is configured with a quantity distribution threshold acquisition strategy, which includes: Obtain the length of the horizontal axis of all anomaly observation coordinate points in the anomaly observation coordinate system, and label it as D1; Establish two straight lines parallel to the vertical axis of the anomaly observation coordinate system, with a width of D2 between the two lines. Mark the space between the two lines as the real-time moving space, which can move left and right. The quantity distribution threshold is calculated as: A = f × (D2 ÷ D2) × S2; where A is the quantity distribution threshold, f is the set proportion, and S2 is the second quantity.

7. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 6, characterized in that, The density threshold acquisition module is configured with a dot density threshold acquisition strategy, which includes: The total number of detected anomalies corresponding to all anomaly observation coordinates within the real-time mobile space is marked as the real-time judgment count. Move the real-time moving space until the maximum x-coordinate of the real-time moving space is equal to the x-coordinate of the largest anomaly observation point. Then move the real-time moving space to the left while judging the size of the number of real-time judgments and the quantity distribution threshold. When the number of real-time judgments is greater than or equal to the quantity distribution threshold, stop moving the real-time moving space. Obtain the experimental scan dot density corresponding to the maximum x-coordinate of the real-time moving space at this time and mark it as the dot density threshold.

8. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 7, characterized in that, The function acquisition module is configured with a function acquisition strategy, which includes: Obtain the dot density threshold for different standard side widths; A planar coordinate system is established with the standard width of the side as the horizontal axis value and the dot density threshold as the vertical axis value, and it is marked as the threshold distribution coordinate system. The standard width of the side and the corresponding dot density threshold are plotted as the x and y coordinates of the data points in the threshold distribution coordinate system, respectively. Mark the data points in the threshold distribution coordinate system as threshold distribution coordinate points; The function is obtained by fitting a function to all the threshold distribution coordinate points, and it is labeled as the threshold distribution function.

9. The laser three-dimensional scanning inspection system for forming precision of aerospace thin-walled complex parts according to claim 8, characterized in that, The real-time data acquisition module is configured with a real-time scan density acquisition strategy, which includes: The side width of the thin wall in the complex thin-walled aerospace component to be inspected is marked as the side width to be detected in real time; The real-time detected side width is substituted into the threshold distribution function as the horizontal axis value to obtain the vertical axis data, which is then labeled as the real-time scan density.

10. A laser three-dimensional scanning inspection system for the forming accuracy of complex thin-walled aerospace parts according to claim 9, characterized in that, The detection module is configured with a detection strategy, which includes: The real-time scanning density is used as the dot density of the laser 3D scanning to obtain a 3D model of the thin-walled complex aerospace part to be inspected, and it is marked as the real-time scanning model. The quality of a thin-walled complex aerospace component to be inspected is determined based on a real-time scanning model and a standard aerospace component model.

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