Method and system for controlling assembly stress of optical reflector

Abstract

The invention discloses an optical reflector assembly stress control method and system, and the method comprises the steps: carrying out the sampling of a reflector installation surface and a matching surface through high-precision three coordinates, carrying out the surface type fitting of the installation surface and the matching surface, inputting a computer, and carrying out the calculation of the matching degree of the installation surface, and judging whether the use requirement can be met, assembling the reflector, and retesting the optical surface after the assembly is completed. The method has the advantages that quantitative matching of the mounting surfaces in the reflector assembling process is achieved, and the first-pass yield of reflector assembling is increased. Through cooperation of mechanical equipment, automatic installation and automatic detection of the optical element are realized. Therefore, efficient, reliable and rapid installation is realized.

Description

Technical Field

[0001] The invention relates to the technical field of optical reflector assembly, in particular to an optical reflector assembly stress control method and system thereof. Background Art

[0002] During the assembly of optical reflectors, the mismatch between the mounting surface and the matching surface can easily lead to problems such as uneven stress distribution on the optical surface, excessive deformation of the lens, and failure of the optical surface shape accuracy (PV value) to meet the use requirements. Since quantitative detection is not possible during the optical assembly process, when measuring the optical surface after assembly, it is often found that the lens stress deformation is too large, resulting in rework and affecting the assembly efficiency of the optical reflector.

[0003] Therefore, how to measure the stress during the assembly of optical reflectors has become a technical problem that needs to be solved urgently in this field. Summary of the invention

[0004] The purpose of the present invention is to provide an optical reflector assembly stress control method and system thereof, which realizes the quantitative detection and matching of the mounting surface before the optical reflector assembly and the prediction of the optical surface accuracy after the assembly is completed, reduces the problems of rework in the optical reflector assembly process, and improves the first-time qualified rate of the optical reflector assembly. The specific technical scheme is as follows:

[0005] In a first aspect, the present invention provides a method for controlling stress in assembling an optical reflector, the method comprising:

[0006] Determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, wherein the regularized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes coordinate information of the mounting surface of the reflector and coordinate information of the matching surface;

[0007] Performing multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface;

[0008] The reflector is assembled on the matching surface based on the objective function of the reflector assembly, and the stress condition of the reflector after assembly is detected by an optical device.

[0009] Furthermore, before determining the regularized grid matrix based on the reflector assembly information and the reflector curved surface data, the method further includes:

[0010] Collecting coordinates of the mounting surface and the matching surface of the reflector to obtain assembly information of the reflector, wherein the assembly information of the reflector includes coordinate information of the mounting surface and coordinate information of the matching surface;

[0011] Data fitting is performed on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

[0012] Furthermore, performing data fitting on the three-dimensional curved surface structure of the reflector includes:

[0013] Obtaining a three-dimensional model diagram of the reflector;

[0014] Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector;

[0015] Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

[0016] Furthermore, the step of detecting the stress of the reflector after installation by an optical device further includes:

[0017] determining an installation state of the reflector based on the stress condition;

[0018] The objective function is adjusted based on the installation state of the reflector and the stress condition feedback.

[0019] Furthermore, the performing of multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix includes:

[0020] Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning;

[0021] Set the number of iterations and give the calculation accuracy;

[0022] Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set;

[0023] A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

[0024] In a second aspect, the present invention further provides an optical reflector assembly stress control system, the system comprising: a gridding unit, a constraint optimization processing unit, and a detection unit;

[0025] The gridding unit is used to determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, and the normalized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes the coordinate information of the mounting surface of the reflector and the coordinate information of the matching surface;

[0026] The constrained optimization processing unit is used to perform multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface;

[0027] The detection unit is used to assemble the reflector on the matching surface based on the objective function of the reflector assembly, and detect the stress condition of the reflector after installation through an optical device.

[0028] In another embodiment of this aspect, the system further comprises: a coordinate acquisition unit, a data fitting unit

[0029] The coordinate acquisition unit is used to acquire the coordinates of the mounting surface and the matching surface of the reflector to obtain the assembly information of the reflector, wherein the assembly information of the reflector includes the coordinate information of the mounting surface and the coordinate information of the matching surface;

[0030] The data fitting unit is used to perform data fitting on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

[0031] In another embodiment of this aspect, the data fitting unit is specifically used for:

[0032] Obtaining a three-dimensional model diagram of the reflector;

[0033] Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector;

[0034] Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

[0035] In another embodiment of this aspect, the system further comprises: a feedback unit;

[0036] The feedback unit is specifically used to determine the installation state of the reflector based on the stress condition; and to feedback and adjust the objective function based on the installation state of the reflector and the stress condition.

[0037] In another embodiment of this aspect, the constraint optimization processing unit is specifically used to:

[0038] Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning;

[0039] Set the number of iterations and give the calculation accuracy;

[0040] Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set;

[0041] A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

[0042] The beneficial effects of the present invention are as follows:

[0043] The present invention discloses a method and system for controlling stress of optical reflector assembly, wherein the method comprises: sampling the mounting surface and matching surface of the reflector by high-precision three-coordinates, fitting the mounting surface and matching surface, inputting into a computer to calculate the matching degree of the mounting surface, judging whether the use requirements can be met, assembling the reflector, and retesting the optical surface after the assembly is completed. The advantages of the present invention are: quantitative matching of the mounting surface during the assembly process of the reflector is achieved, and the first-time qualified rate of the assembly of the reflector is improved. Through the cooperation of mechanical equipment, the automated installation and automated detection of optical components are achieved. Thus, efficient, reliable and rapid installation is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is one of the flow charts of a method for controlling stress in assembling an optical reflector;

[0045] Figure 2 It is one of the flow charts of a method for controlling stress in assembling an optical reflector;

[0046] Figure 3 The present invention is one of the flow charts of a stress control method for assembling an optical reflector. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of this specification clearer, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and their corresponding drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this document.

[0048] The following combination Figure 1-3 , describes in detail the technical solutions provided by each embodiment of this specification. Specific embodiment 1:

[0050] The object of the present invention is to provide a method for controlling stress in assembling an optical reflector, which realizes quantitative detection and matching of the mounting surface before assembling the optical reflector and prediction of the optical surface accuracy after assembling, reduces problems such as rework in the assembly process of the optical reflector, and improves the first-time qualified rate of the optical reflector assembly.

[0051] In view of this, the technical solution provided by the present invention is: a method for controlling stress in assembling an optical reflector, characterized in that it comprises:

[0052] Firstly, the installation surface and matching surface of the reflector are sampled by high-precision three-coordinate measurement. The installation surface S1 and matching surface S2 of the reflector are measured by high-precision three-coordinate measurement, and the polar coordinate discrete point measurement method is adopted.

[0053] Secondly, the mounting surface and the matching surface are fitted; an interpolation algorithm is used to perform curved surface fitting on the reflector mounting surface S1 and the matching surface S2.

[0054] The surface fitting is based on the basic principle of NURBS and is carried out using the masked construction method. The core technology of the process constructed by the masked method is the inverse calculation of the control vertices. The specific steps are: for the known free-form surface model diagram, select its transverse coordinate points as the transverse section parameter direction, and intercept 15 sections at equal intervals in the parameter direction. The line where the shape value point is located is the intersection line of each section and the free-form surface, and then 12 points are taken on each line. The coordinate data of these 12 points are the basic shape value points. After that, the process of inverse calculation of control vertices mentioned above is used for calculation. By repeated calculation, all control vertices in the u and v directions are obtained. Finally, the masked method is used to generate the surface visualization.

[0055] Then, input the data into the computer to calculate the matching degree of the installation surface and determine whether it can meet the use requirements; input the data into the computer and use the least square method to calculate the matching degree of S1 and S2; determine whether the matching degree of S1 and S2 can meet the use requirements;

[0056] The core algorithm of surface matching is based on surface constraint matching technology. Its calculation flow chart is shown in the figure. The ideal value of the surface PV that meets the use requirements after the reflector is assembled is set as the maximum value of the objective function, and the matching degree of the two installation surfaces is calculated.

[0057] Then, the reflector is assembled;

[0058] Finally, after assembly, the optical surface is re-measured to determine whether it meets the use requirements. After the reflector is assembled, a laser interferometer is used to measure the PV value of the optical surface of the reflector to determine whether it meets the use requirements.

[0059] The interferometer is used to measure the measured value of the rear profile PV after assembly, the deviation between the measured value and the ideal value is calculated, the matching calculation model is corrected, and the optimization algorithm is continuously iterated.

[0060] The system realizes quantitative detection and matching of the mounting surface before assembly of the optical reflector and prediction of the optical surface accuracy after assembly, reduces problems such as rework during the assembly process of the optical reflector and improves the first-time qualified rate of the optical reflector assembly.

[0061] The specific process of the matching algorithm is as follows:

[0062] The surface matching process is divided into two parts: coarse matching and constrained fine matching. The basic process is as follows: Figure 3 The basic principle of the algorithm is to find the nearest point (P i , Q i ), and then calculate the optimal matching parameters R and T to minimize the error function.

[0063] The basic steps are:

[0064] ① Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning;

[0065] ② Set the number of iterations m = 0 and the calculation accuracy ε;

[0066] ③Calculate each data point P in the point cloud i To the nearest point Q on the surface i , establish the corresponding point set P i，0 and Q i，0

[0067]

[0068] ④m=m+1; use the penalty function method to solve the multidimensional nonlinear constrained optimization problem, that is, to find the optimal rotation matrix R m and the translation vector T m , and the following constraints are met:

[0069]

[0070] Among them, F(R m , T m ) is the point cloud P i After rotation R and translation T, the point cloud P i The sum of the squares of the closest distances to surface S1, di(R m P i +T, S1) is the distance from the point to the nearest point on the error surface.

[0071] The basic principle of the penalty function method used in this step is to construct a penalty function based on the constraints of the optimization objective function, and transform the constrained optimization problem into the solution of the unconstrained optimization problem. The constraint condition in the study is to determine the interference between the point set P and the surface S1 by detecting the closest distance from each discrete point to the surface in each iteration. It is easy to know the correspondence between R and T and the differential motion vector v = (dx, dy, dz, δx, δy, δz). Assuming that the closest distance from the point set P to S1 in each iteration is d(v), the following penalty function is constructed according to the constraint function:

[0072]

[0073] Among them, d i (v) represents the shortest distance from the point to the surface in each iteration; d i (v) noninter Indicates the shortest distance from a point to a surface when there is no interference between the point and the surface. If d i >0, it means that the point does not interfere with the surface S1, T F =1; if d i When <0, it means that the point interferes with the surface S1, T F =0.d i (v) inter Indicates the shortest distance from a point to a surface when the point interferes with the surface. When d i >0, no interference occurs with surface S1, T int =0;d i <0, then the point interferes with the surface S1, T int =J, J can be determined according to the application scenario.

[0074] ⑤ Transform the coordinates of the point set to obtain a new point set P i，m =R m P i，m-1 +T m , and based on the closest distance from point to surface and the closest point algorithm, solve the point cloud P i，m The closest point Q to surface S1 i，m , calculate the objective function

[0075]

[0076] ⑥ Set the judgment conditions and iterate continuously until the requirements are met to obtain the final transformation matrix, which is the point cloud position after precise matching.

[0077] By constructing a penalty function, the constrained optimization problem of formula (2.13) is transformed into an unconstrained optimization problem of formula (2.14), and then the Newton algorithm is used to solve it and calculate the optimal rotation matrix R and translation vector T in this iteration process. This algorithm greatly simplifies the calculation process and improves the stability and convergence of the calculation.

[0078] At the same time, constraints are added to the algorithm. The constraint condition is that the distance between the matching surfaces cannot be less than zero to avoid interference during the matching process. Specific embodiment 2:

[0080] The purpose of the present invention is to provide an optical reflector assembly stress control method and system thereof, which realizes the quantitative detection and matching of the mounting surface before the optical reflector assembly and the prediction of the optical surface accuracy after the assembly is completed, reduces the problems of rework in the optical reflector assembly process, and improves the first-time qualified rate of the optical reflector assembly. The specific technical scheme is as follows:

[0081] In a first aspect, the present invention provides a method for controlling stress in assembling an optical reflector, the method comprising:

[0082] Determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, wherein the regularized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes coordinate information of the mounting surface of the reflector and coordinate information of the matching surface;

[0083] Performing multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface;

[0084] The reflector is assembled on the matching surface based on the objective function of the reflector assembly, and the stress condition of the reflector after assembly is detected by an optical device.

[0085] Furthermore, before determining the regularized grid matrix based on the reflector assembly information and the reflector curved surface data, the method further includes:

[0086] Collecting coordinates of the mounting surface and the matching surface of the reflector to obtain assembly information of the reflector, wherein the assembly information of the reflector includes coordinate information of the mounting surface and coordinate information of the matching surface;

[0087] Data fitting is performed on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

[0088] Furthermore, performing data fitting on the three-dimensional curved surface structure of the reflector includes:

[0089] Obtaining a three-dimensional model diagram of the reflector;

[0090] Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector;

[0091] Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

[0092] Furthermore, the step of detecting the stress of the reflector after installation by an optical device further includes:

[0093] determining an installation state of the reflector based on the stress condition;

[0094] The objective function is adjusted based on the installation state of the reflector and the stress condition feedback.

[0095] Furthermore, the performing of multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix includes:

[0096] Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning;

[0097] Set the number of iterations and give the calculation accuracy;

[0098] Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set;

[0099] A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

[0100] In a second aspect, the present invention further provides an optical reflector assembly stress control system, the system comprising: a gridding unit, a constraint optimization processing unit, and a detection unit;

[0101] The gridding unit is used to determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, and the normalized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes the coordinate information of the mounting surface of the reflector and the coordinate information of the matching surface;

[0102] The constrained optimization processing unit is used to perform multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface;

[0103] The detection unit is used to assemble the reflector on the matching surface based on the objective function of the reflector assembly, and detect the stress condition of the reflector after installation through an optical device.

[0104] In another embodiment of this aspect, the system further comprises: a coordinate acquisition unit, a data fitting unit

[0105] The coordinate acquisition unit is used to acquire the coordinates of the mounting surface and the matching surface of the reflector to obtain the assembly information of the reflector, wherein the assembly information of the reflector includes the coordinate information of the mounting surface and the coordinate information of the matching surface;

[0106] The data fitting unit is used to perform data fitting on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

[0107] In another embodiment of this aspect, the data fitting unit is specifically used for:

[0108] Obtaining a three-dimensional model diagram of the reflector;

[0109] Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector;

[0110] Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

[0111] In another embodiment of this aspect, the system further comprises: a feedback unit;

[0112] The feedback unit is specifically used to determine the installation state of the reflector based on the stress condition; and to feedback and adjust the objective function based on the installation state of the reflector and the stress condition.

[0113] In another embodiment of this aspect, the constraint optimization processing unit is specifically used to:

[0114] Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning;

[0115] Set the number of iterations and give the calculation accuracy;

[0116] Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set;

[0117] A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

[0118] Example embodiments have been disclosed herein, and although specific terms are employed, they are used and should be interpreted only in a general illustrative sense and not for limiting purposes. In some embodiments, it will be apparent to those skilled in the art that, unless otherwise expressly noted, features, characteristics, and / or elements described in conjunction with a particular embodiment may be used alone or in combination with features, characteristics, and / or elements described in conjunction with other embodiments. Therefore, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A method for controlling stress in assembling an optical reflector, characterized in that: The method comprises: Determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, wherein the regularized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes coordinate information of the mounting surface of the reflector and coordinate information of the matching surface; Performing multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface; The reflector is assembled on the matching surface based on the objective function of the reflector assembly, and the stress condition of the reflector after assembly is detected by an optical device.

2. The method for controlling stress of an optical reflector assembly as claimed in claim 1, characterized in that: Before determining the regularized grid matrix based on the reflector assembly information and the reflector surface data, the method further includes: Collecting coordinates of the mounting surface and the matching surface of the reflector to obtain assembly information of the reflector, wherein the assembly information of the reflector includes coordinate information of the mounting surface and coordinate information of the matching surface; Data fitting is performed on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

3. The method for controlling stress of an optical reflector assembly as claimed in claim 2, characterized in that: The performing data fitting on the three-dimensional curved surface structure of the reflector comprises: Obtaining a three-dimensional model diagram of the reflector; Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector; Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

4. The method for controlling stress of an optical reflector assembly as claimed in claim 1, characterized in that: The step of detecting the stress of the reflector after installation by an optical device further comprises: determining an installation state of the reflector based on the stress condition; The objective function is adjusted based on the installation state of the reflector and the stress condition feedback.

5. The method for controlling stress in assembling an optical reflector according to claim 1, wherein: The performing of multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix includes: Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning; Set the number of iterations and give the calculation accuracy; Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set; A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

6. An optical reflector assembly stress control system, characterized in that: The system comprises: a gridding unit, a constraint optimization processing unit, and a detection unit; The gridding unit is used to determine a regularized grid matrix based on the reflector assembly information and the reflector surface data, and the normalized grid matrix is ​​used to represent the spatial position relationship between the reflector and the matching surface; the reflector assembly information includes the coordinate information of the mounting surface of the reflector and the coordinate information of the matching surface; The constrained optimization processing unit is used to perform multiple nonlinear constrained optimization processes based on the shortest moving distance from the mounting surface to the corresponding matching surface in the regularized grid matrix to determine the objective function of the reflector assembly, wherein the objective function of the reflector assembly is a data expression of the path position planning of the mounting surface of the reflector to the matching surface; The detection unit is used to assemble the reflector on the matching surface based on the objective function of the reflector assembly, and detect the stress condition of the reflector after installation through an optical device.

7. An optical reflector assembly stress control system as claimed in claim 6, characterized in that: The system also includes: a coordinate acquisition unit, a data fitting unit The coordinate acquisition unit is used to acquire the coordinates of the mounting surface and the matching surface of the reflector to obtain the assembly information of the reflector, wherein the assembly information of the reflector includes the coordinate information of the mounting surface and the coordinate information of the matching surface; The data fitting unit is used to perform data fitting on the three-dimensional curved surface structure of the reflector to determine the curved surface data of the reflector.

8. An optical reflector assembly stress control system as claimed in claim 7, characterized in that: The data fitting unit is specifically used for: Obtaining a three-dimensional model diagram of the reflector; Under the coordinates of the reflector assembly information, acquiring the transverse cross-sectional data points and the longitudinal cross-sectional data points of the reflector to form all the control points of the reflector; Based on all the control points of the reflector, the visual data of the reflector is obtained by a masking method, so as to achieve data fitting of the three-dimensional curved surface structure of the reflector.

9. An optical reflector assembly stress control system as claimed in claim 6, characterized in that: The system further comprises: a feedback unit; The feedback unit is specifically used to determine the installation state of the reflector based on the stress condition; and to feedback and adjust the objective function based on the installation state of the reflector and the stress condition.

10. An optical reflector assembly stress control system as claimed in claim 6, characterized in that: The constraint optimization processing unit is specifically used for: Determine the point cloud to be registered and the reference point cloud in the two frames of point cloud data, that is, determine the two matching surfaces, and then perform initial assembly positioning; Set the number of iterations and give the calculation accuracy; Determine the closest point from each data point to the surface in the two frames of point cloud data, and determine the point set; A penalty function method is used to determine a multidimensional nonlinear constrained optimization problem, and the point set is updated based on the optimized data.

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