Methods and systems for detecting the fit rate of mounting surfaces

Abstract

This invention relates to the field of rail transit technology, and in particular to a method and system for detecting the fitting rate of mounting surfaces. The method includes: acquiring a data cloud map of the component to be tested, wherein the data cloud map includes a mounting surface and a reference surface formed by data points; performing regression processing on the reference surface to obtain a regression surface of the component to be tested; aligning the regression surface with a reference surface of a template model of a preset model of the component to be tested; and, after the regression surface and the model reference surface are aligned, obtaining the fitting rate of the mounting surface based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance to the total number of data points. The purpose of this invention is to solve the problem of errors in the results of rapid detection of the fitting rate of mounting surfaces of components to be assembled during the repair and assembly of multiple parts on a high-speed train, thereby eliminating the errors caused by relying on human experience in traditional methods.

Description

Technical Field

[0001] This invention relates to the field of rail transit technology, and in particular to a method and system for detecting the fitting rate of mounting surfaces. Background Technology

[0002] During the maintenance of rail vehicles (such as EMUs), components such as axle box positioning nodes or couplings must be disassembled from the mounting assembly before maintenance. The mounting surfaces of these components may exhibit abnormalities such as rust and scratches. During maintenance, the mounting surfaces of the components must be cleaned and ground. Before reassembly, the fit rate of the mounting surfaces of the components to be assembled must be checked.

[0003] Current methods typically involve applying a colored coating (such as lead oxide mold) of a certain thickness to the surface of a specialized test sample. The sample is then brought into contact with the mounting surface, and the extent of staining on the mounting surface is visually observed. The fit is then estimated based on the experience of the personnel. This method relies on experience and is inherently subjective, leading to significant errors in the test results. Summary of the Invention

[0004] This invention provides a method and system for detecting the fitting rate of mounting surfaces, in order to solve the problem of large errors in the detection results of the fitting rate of the mounting surfaces of the parts to be assembled when assembling components on a high-speed train.

[0005] This invention provides a method for detecting the adhesion rate of mounting surfaces, comprising:

[0006] Obtain a data cloud map of the component to be tested, wherein the data cloud map includes a mounting surface and a reference surface formed by data points;

[0007] The reference surface is subjected to regression processing to obtain the regression surface of the component to be tested;

[0008] The regression surface is aligned with the model reference surface of the preset component model to be tested;

[0009] After the regression surface coincides with the model reference surface, the fitting rate of the mounting surface is obtained based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to the preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along the preset direction onto the projection point on the detection surface of the preset test component model.

[0010] According to a method for detecting the fit rate of a mounting surface provided by the present invention, regression processing is performed on the reference surface to obtain the regression surface of the component to be tested, including:

[0011] The reference surface is regressed using linear regression to obtain the regression surface of the component to be tested.

[0012] According to a method for detecting the fitting rate of a mounting surface provided by the present invention, after the regression surface coincides with the model reference surface, the fitting rate of the mounting surface is obtained based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points; wherein, the measured distance is the distance between the data points sampled on the mounting surface and the projection points on the detection surface of the preset component model along a preset direction, including:

[0013] After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the cutting line of the part to be tested and the detection line of the part template after each cut.

[0014] Calculate the distance between the projection points on the corresponding detection line of each data point on the cutting line along the preset direction, and obtain the measured distance of each data point;

[0015] The fitting rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to the preset standard distance and the total number of data points.

[0016] According to a method for detecting the fit rate of an mounting surface provided by the present invention, the cutting spacing is 0.2 mm to 0.4 mm.

[0017] According to the present invention, a method for detecting the fitting rate of a mounting surface is provided. After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset component model are cut according to a preset direction and cutting interval to obtain the cutting line of the component to be tested and the detection line of the component template after each cutting. The method includes:

[0018] After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the basic cutting line of the part to be tested and the detection line of the part template after each cutting.

[0019] Based on the basic cutting line after each cut, and according to the preset storage tolerance, the cutting line of the component to be tested after each cut is obtained.

[0020] According to the method for detecting the fitting rate of the mounting surface provided by the present invention, the preset storage tolerance is 0.01 mm to 0.03 mm.

[0021] According to a method for detecting the fit rate of a mounting surface provided by the present invention, the fit rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to a preset standard distance and the total number of data points, including:

[0022] Based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to a preset standard distance and the total number of data points, the fitting rate of each cutting line is obtained.

[0023] Calculate the average of the adhesion rates of all cutting lines to obtain the adhesion rate of the mounting surface.

[0024] The present invention also provides a system for detecting the adhesion rate of mounting surfaces, comprising:

[0025] The acquisition module is used to acquire a data cloud map of the component to be inspected, wherein the data cloud map includes an mounting surface and a reference surface formed by data points;

[0026] The regression module is used to perform regression processing on the reference surface to obtain the regression surface of the component to be detected;

[0027] The overlap module is used to overlap the regression surface with the model reference surface of the preset detection component model;

[0028] The calculation module is used to obtain the fitting rate of the mounting surface after the regression surface coincides with the model reference surface, based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along a preset direction onto the projection point on the detection surface of the preset detection component model.

[0029] According to the invention, a system for detecting the fit rate of mounting surfaces includes a regression module for performing regression processing on the reference surface to obtain the regression surface of the component to be tested, comprising:

[0030] The reference surface is regressed using linear regression to obtain the regression surface of the component to be tested.

[0031] According to the invention, a system for detecting the fitting rate of a mounting surface is provided. The calculation module, after the regression surface coincides with the model reference surface, calculates the fitting rate of the mounting surface based on the proportion of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points. The measured distance is the distance between the sampled data points on the mounting surface and the projection points on the detection surface of the preset model of the component to be tested, projected along a preset direction. This distance includes:

[0032] After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the cutting line of the part to be tested and the detection line of the part template after each cut.

[0033] Calculate the distance between the projection points on the corresponding detection line of each data point on the cutting line along the preset direction, and obtain the measured distance of each data point;

[0034] The fitting rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to the preset standard distance and the total number of data points.

[0035] This invention provides a method and system for detecting the fitting rate of a mounting surface. By acquiring a data cloud map of the component to be tested, a regression surface is formed after regression processing of the reference surface, thereby improving the accuracy of the overlap between the regression surface and the reference surface of the model of the component to be tested. Then, the fitting rate of the mounting surface is obtained by the ratio of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance to the total number of data points. This reduces subjective human judgment and improves the accuracy of mounting surface fitting rate detection. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating the method for detecting the adhesion rate of the mounting surface provided by the present invention.

[0038] Figure 2 This is a schematic diagram of the structure of the component to be tested and the preset component model in this invention.

[0039] Figure 3 This is a schematic diagram of the structure of the component to be tested after being cut using the method of this invention, and a preset model of the component to be tested.

[0040] Figure 4 This is a schematic diagram of the system for detecting the adhesion rate of the mounting surface provided by the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0042] The following is combined Figure 1 and Figure 2 A method for detecting the adhesion rate of a mounting surface according to the present invention includes:

[0043] S1. Obtain a data cloud map of the component to be tested, wherein the data cloud map includes a mounting surface 210 and a reference surface 220 formed by data points. That is, both the mounting surface 210 and the reference surface 220 are formed by data points. Specifically, before the step of obtaining the data cloud map of the component to be tested, the mounting surface 210 and the reference surface 220 of the component to be tested are scanned to obtain the data cloud map of the component to be tested; thereby, the data cloud map of the component to be tested can be obtained more quickly.

[0044] S2. Perform regression processing on the reference surface 220 to obtain the regression surface of the component to be tested. Performing regression processing on the reference surface 220 calibrates the reference surface and improves the accuracy of the regression surface coinciding with the model reference surface of the component to be tested template.

[0045] S3. Align the regression surface with the model reference surface 230 of the preset test component model. This ensures that the mounting surface 210 is aligned with the test surface 240 of the preset test component template. Because the test component has a colored coating, the mounting surface 210 and the regression surface of the test component have thickness. By aligning the regression surface with the model reference surface 230 of the test component model, a gap exists between the mounting surface 220 of the test component and the test surface 240 of the preset test component model. The fit between the mounting surface 210 and the test surface of the test component template is then determined by the test surface 240 of the test component template. The outer contour of the preset test component model is fixed; a three-dimensional model is obtained by performing three-dimensional modeling on the test component.

[0046] S4. After the regression surface coincides with the model reference surface 230, the fitting rate of the mounting surface is obtained based on the proportion of the number of data points on the mounting surface 210 whose measured distance is less than or equal to the preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along the preset direction onto the projection point on the detection surface of the preset test component model.

[0047] This invention obtains the data cloud map of the component to be tested, performs regression processing on the reference surface to obtain the regression surface of the component, thereby improving the accuracy of the overlap between the regression surface and the model reference surface of the component template. Then, by using the percentage of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance to the total number of data points, the fitting rate of the mounting surface is obtained. This objective judgment of the mounting surface of the component to be tested improves the accuracy of the mounting surface fitting rate detection, thereby reducing subjective human judgment.

[0048] Based on the above embodiments, regression processing is performed on the reference surface to obtain the regression surface of the component to be detected, including:

[0049] Linear regression is used to perform regression processing on the reference surface 220 to obtain the regression surface of the component to be tested. Using linear regression improves the speed of data point regression.

[0050] Based on the above embodiments, please also refer to... Figure 3 After the regression surface coincides with the model reference surface 230, the fitting rate of the mounting surface is obtained based on the ratio of the number of data points on the mounting surface 210 whose measured distance is less than or equal to a preset standard distance to the total number of data points; wherein, the measured distance is the distance between the data points sampled on the mounting surface and the projection points on the detection surface of the preset test component model along a preset direction, including:

[0051] After the regression surface coincides with the model reference surface 230, the mounting surface 210 and the detection surface 240 of the preset component model to be tested are cut according to the preset direction and cutting spacing, resulting in the cutting line 310 of the component to be tested and the detection line 330 of the component template after each cut. In this embodiment, the preset direction is the cutting direction. The number of cuts to be made on the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model to be tested is determined according to the preset direction and cutting spacing. At the same time, the cutting normal (i.e., the arrangement direction of all cutting lines 310 after cutting) can be determined first, and then the cutting direction can be determined. The number of cuts to be made on the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model to be tested is determined according to the cutting normal and cutting spacing. The cutting spacing determines the number of cuts on the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model to be tested. Specifically, the cutting spacing is 0.2 mm to 0.4 mm. The smaller the cutting spacing, the more cutting lines there are, and the more accurate the fit. Preferably, the cutting spacing for cutting the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model is equal-spaced cutting, for example, the cutting spacing is 0.2 mm, 0.3 mm or 0.4 mm.

[0052] Calculate the distance between the data points on each cutting line 310 projected along the preset direction onto the corresponding projection points on the detection line to obtain the measured distance of each data point.

[0053] The fitting rate of the mounting surface is obtained based on the proportion of data points on each cutting line 310 whose measured distance is less than or equal to a preset standard distance and the total number of data points. In this embodiment, after cutting the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model to be tested, the cutting line 310 of the component to be tested and the detection line 330 of the component template to be tested are obtained after each cutting. The distance between the data points on the cutting line 310 projected along a preset direction to the corresponding projection points on the detection line is calculated. After obtaining the measured distance of each data point, the fitting rate of the mounting surface is obtained based on the proportion of data points on the cutting line 310 whose measured distance is less than or equal to the preset standard distance and the total number of data points. This allows for an objective judgment of the mounting surface of the component to be tested, improving the accuracy of the mounting surface fitting rate detection.

[0054] Based on the above embodiments, after the regression surface coincides with the model reference surface, the mounting surface 210 and the detection surface 240 are cut according to a preset direction and cutting interval to obtain the cutting line 310 of the component to be tested and the detection line 330 of the sample of the component to be tested after each cut, including:

[0055] According to the preset direction and cutting spacing, the mounting surface 210 and the detection surface 240 are cut to obtain the basic cutting line of the component to be tested and the detection line 330 of the sample of the component to be tested after each cutting.

[0056] Based on the base cutting line after each cut, and according to the preset tolerance, the cutting line 310 of the component to be tested after each cut is obtained. Specifically, the tolerance is 0.01mm-0.03mm, that is, when the absolute value of the distance between the data point and the base cutting line in the normal direction of the cut is less than the tolerance δ, the data point can be considered to be located on the base cutting line to form a cutting line, thereby reducing the omission of data points with pits or protrusions, and thus improving the calculation accuracy of the fit rate of the mounting surface.

[0057] Based on the above embodiments, the fitting rate of the mounting surface is obtained by considering the ratio of the number of data points on each cutting line 310 whose measured distance is less than or equal to a preset standard distance to the total number of data points, including:

[0058] The fitting rate of each cutting line is obtained based on the proportion of the number of data points whose measured distance is less than or equal to the preset standard distance and the total number of data points P on each cutting line.

[0059] Specifically, if the detection distance d of each data point i i If the distance is equal to or less than the preset standard distance μ, the data point is retained. If the detection distance d of the data point is... i If the distance is greater than the preset standard distance μ, the data point is discarded. See formula (1):

[0060]

[0061] If x>1, then f(x)=0, meaning the data point is discarded; if x<=1, then f(x)=1, meaning the data point is retained.

[0062] Based on the number of retained data points, the fitting rate α of each cutting line is obtained. See equation (2):

[0063]

[0064] Calculate the average of the adhesion rates of all cutting lines to obtain the adhesion rate β of the mounting surface. See formula (3):

[0065]

[0066] Where N is the number of cuts made between the mounting surface 210 of the component to be tested and the detection surface 240 of the preset component model, and α j Let be the adhesion rate of the j-th cutting line.

[0067] Specifically, if the adhesion rate of the mounting surface is not less than 75%, the mounting surface of the component under test is deemed to meet the requirements. If the adhesion rate of the mounting surface is less than 75%, the mounting surface of the component under test is deemed to fail to meet the requirements, and the mounting surface needs to be cleaned and ground before being tested again.

[0068] The apparatus for detecting the bonding rate of the mounting surface provided by the present invention will be described below. The apparatus for detecting the bonding rate of the mounting surface described below can be referred to in correspondence with the method for detecting the bonding rate of the mounting surface described above.

[0069] Please see Figure 4 A system for detecting the fitting rate of mounting surfaces includes an acquisition module 410, a regression module 420, an overlap module 430, and a calculation module 440.

[0070] The acquisition module 410 is used to acquire a data cloud map of the component to be tested, wherein the data cloud map includes an mounting surface and a reference surface formed by data points.

[0071] The regression module 420 is used to perform regression processing on the reference surface to obtain the regression surface of the component to be detected.

[0072] The overlap module 430 is used to overlap the regression surface with the model reference surface of the preset part model to be tested.

[0073] The calculation module 440 is used to obtain the fitting rate of the mounting surface after the regression surface coincides with the model reference surface, based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to the preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along the preset direction onto the projection point on the detection surface of the preset part model to be detected.

[0074] This invention acquires a data cloud image of the component to be tested via an acquisition module 410, obtains the regression surface of the component to be tested via a regression module 420, and aligns the regression surface with the model reference surface of a preset component model via an overlap module 430, so that the mounting surface of the component to be tested is aligned with the detection surface of the preset component model. The calculation module 440 then calculates the fitting rate of the mounting surface. This reduces subjective human judgment and improves the accuracy of mounting surface fitting rate detection.

[0075] Specifically, the regression module 420 is used to perform regression processing on the reference surface to obtain the regression surface of the component to be detected, including:

[0076] The reference surface is regressed using linear regression to obtain the regression surface of the component to be tested.

[0077] Simultaneously, the calculation module 440 is used to obtain the fitting rate of the mounting surface after the regression surface coincides with the model reference surface, based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance to the total number of data points; wherein, the measured distance is the distance between the data points sampled on the mounting surface and the projection points on the detection surface of the preset test component model along a preset direction, including:

[0078] After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset component model are cut according to a preset direction and cutting interval, resulting in the cutting line of the component to be tested and the detection line of the component template after each cut. Specifically, the cutting interval is 0.2 mm to 0.4 mm.

[0079] Calculate the distance between the projection points on the corresponding detection line of each data point on the cutting line along the preset direction, and obtain the measured distance of each data point.

[0080] The fitting rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to the preset standard distance and the total number of data points.

[0081] Furthermore, in the calculation module 440, after the regression surface coincides with the model reference surface, the step of cutting the mounting surface and the detection surface of the preset component model according to the preset direction and cutting spacing to obtain the cutting line of the component to be tested and the detection line of the component template after each cutting includes:

[0082] After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the basic cutting line of the part to be tested and the detection line of the part template after each cutting.

[0083] Based on the baseline cutting line after each cut, and according to a preset tolerance, the cutting line of the component to be tested after each cut is obtained. Specifically, the preset tolerance is 0.01 mm to 0.03 mm. That is, when the absolute value of the distance between the data point and the baseline cutting line in the normal direction of the cut is less than the tolerance δ, the data point can be considered to be located on the baseline cutting line.

[0084] The calculation module 440 calculates the fitting rate of the mounting surface based on the ratio of the number of data points on each cutting line whose measured distance is less than or equal to a preset standard distance to the total number of data points, including:

[0085] The fitting rate of each cutting line is determined based on the proportion of the number of data points whose measured distance is less than or equal to the preset standard distance and the total number of data points on each cutting line.

[0086] Calculate the average of the adhesion rates of all cutting lines to obtain the adhesion rate of the mounting surface.

[0087] By cutting the mounting surface of the component to be tested and the detection surface of the preset component model, the cutting line of the component to be tested and the detection line of the component template are obtained after each cutting. The distance between the data points on the cutting line and the corresponding projection points on the detection line along the preset direction is calculated. After obtaining the measured distance of each data point, the fitting rate of the mounting surface is obtained according to the proportion of the number of data points whose measured distance on the cutting line is less than or equal to the preset standard distance and the total number of data points. This allows for an objective judgment of the mounting surface of the component to be tested, improving the accuracy of the mounting surface fitting rate detection.

[0088] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0089] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; 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; and these 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.

Claims

1. A method for detecting the adhesion rate of an mounting surface, characterized in that, include: Obtain a data cloud map of the component to be tested, wherein the data cloud map includes a mounting surface and a reference surface formed by data points; The reference surface is regressed using linear regression to obtain the regression surface of the component to be tested; The regression surface is aligned with the model reference surface of the preset part to be tested model so that the mounting surface is opposite to the test surface of the preset part to be tested template. After the regression surface coincides with the model reference surface, the fitting rate of the mounting surface is obtained based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to the preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along the preset direction onto the projection point on the detection surface of the preset test component model; After the regression surface coincides with the model reference surface, the fitting rate of the mounting surface is obtained based on the proportion of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points; wherein, the measured distance is the distance between the data points sampled on the mounting surface and the projection points on the detection surface of the preset test component model along a preset direction, including: After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the cutting line of the part to be tested and the detection line of the part template after each cut. Calculate the distance between the projection points on the corresponding detection line of each data point on the cutting line along the preset direction, and obtain the measured distance of each data point; The fitting rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to the preset standard distance and the total number of data points.

2. The method for detecting the adhesion rate of the mounting surface according to claim 1, characterized in that, The cutting spacing is 0.2 mm to 0.4 mm.

3. The method for detecting the adhesion rate of the mounting surface according to claim 1, characterized in that, After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset component model are cut according to the preset direction and cutting spacing to obtain the cutting line of the component to be tested and the detection line of the component template after each cut, including: After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the basic cutting line of the part to be tested and the detection line of the part template after each cutting. Based on the basic cutting line after each cut, and according to the preset storage tolerance, the cutting line of the component to be tested after each cut is obtained.

4. The method for detecting the adhesion rate of the mounting surface according to claim 3, characterized in that, The preset storage tolerance is 0.01 mm to 0.03 mm.

5. The method for detecting the adhesion rate of the mounting surface according to any one of claims 1 to 4, characterized in that, The fitting rate of the mounting surface is obtained based on the proportion of data points whose measured distance on each cutting line is less than or equal to a preset standard distance and the total number of data points, including: Based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to a preset standard distance and the total number of data points, the fitting rate of each cutting line is obtained. Calculate the average of the adhesion rates of all cutting lines to obtain the adhesion rate of the mounting surface.

6. A system for detecting the adhesion rate of mounting surfaces, characterized in that, include: The acquisition module is used to acquire a data cloud map of the component to be inspected, wherein the data cloud map includes an mounting surface and a reference surface formed by data points; The regression module is used to perform regression processing on the reference surface using the linear regression method to obtain the regression surface of the component to be detected. The overlap module is used to overlap the regression surface with the model reference surface of the preset part model to be tested, so that the mounting surface is opposite to the detection surface of the preset part template. The calculation module is used to obtain the fitting rate of the mounting surface after the regression surface coincides with the model reference surface, based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points; wherein, the measured distance is the distance of the data points sampled on the mounting surface projected along a preset direction onto the projection point on the detection surface of the preset detection component model; The calculation module is used to calculate the fitting rate of the mounting surface after the regression surface coincides with the model reference surface, based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset standard distance and the total number of data points; wherein, the measured distance is the distance between the data points sampled on the mounting surface and the projection points on the detection surface of the preset component model along a preset direction, including: After the regression surface coincides with the model reference surface, the mounting surface and the detection surface of the preset part model to be tested are cut according to the preset direction and cutting spacing to obtain the cutting line of the part to be tested and the detection line of the part template after each cut. Calculate the distance between the projection points on the corresponding detection line of each data point on the cutting line along the preset direction, and obtain the measured distance of each data point; The fitting rate of the mounting surface is obtained based on the proportion of the number of data points on each cutting line whose measured distance is less than or equal to the preset standard distance and the total number of data points.

Images