Teamcenter-based parametric association remote sensing camera development method

Abstract

The application relates to a teamcenter-based parameterized association remote sensing camera development method and belongs to the technical field of space optical remote sensing. The method of integrating the optical parameters into the remote sensor structure design by using a skeleton model based on teamcenter can organically connect the structure design and the optical design, realizes the collaborative work of multiple persons based on the teamcenter platform, overcomes the design defects that the optical and the structure are connected by an intermediate format file and cannot realize the collaborative work of multiple persons, can timely transmit the optical parameters to component designers, realizes the collaborative work of multiple persons on a unified platform, can quickly complete the development and updating of the model, unifies the modeling benchmark of the entire remote sensor device by unifying the optical model benchmark to the structure design, finally realizes the model unification, effectively reduces the errors in the integration process, the method has strong engineering implementation, is low in error rate, can effectively improve the design efficiency, and shortens the remote sensor design period.

Description

Technical Field

[0001] This invention belongs to the field of aerospace optical remote sensing technology. It relates to a parametric correlation remote sensing camera development method based on TeamCenter. Through parametric correlation optical and structural design, it can realize multi-person collaborative work of complex remote sensors and enable rapid updates and iterations, greatly shortening the development cycle. Background Technology

[0002] Optical remote sensors are complex and large integrated systems with various forms. They can generally be divided into two main categories: reflective and projection. Reflective systems can be further divided into off-axis, coaxial, and folding types, etc., depending on their specific applications. Each structural form has its own characteristics and is suitable for different application scenarios.

[0003] Compared to other products, the remote sensor structure is an extremely complex system. It is mainly based on the structural form of the optical system for modeling and is highly related to the optical system. It also has many parts, which urgently requires multiple people to work together to complete the design.

[0004] Figure 1 This is a flowchart illustrating the iterative design process for the optical mechanism of a traditional remote sensing camera. The specific steps are as follows:

[0005] Step 1: The optical designer begins the optical design process. After completing the design, the optical model is converted into an STP intermediate format file and then passed on to the structural designer.

[0006] Step 2: Structural designers 1, 2…N design the structure based on the optical model;

[0007] Step 3: After structural designers 1, 2, ... N complete the structural design, they pass the model to the overall structural designer, who then completes the assembly of the camera model and checks the interface compatibility.

[0008] Step 4: When the interfaces do not match, the overall structural designer provides feedback to each structural designer, who then makes the modifications and sends the model back to the overall structural designer. The overall structural designer then reassembles the model and checks the correctness of the interfaces.

[0009] Step 5: When the optical design scheme changes, steps one to four above need to be manually iterated again until the requirements are met.

[0010] Due to the complexity of current remote sensor designs, optical system parameters change frequently, leading to frequent iterations between optics and structure, and between different structures, with no possibility of updates. Conventional methods rely on "intermediate format files" as a link between optical and structural designers for structural layout and design. However, these intermediate format files lack parameter adjustment capabilities. If the optical design changes, the intermediate format file needs to be re-exported. Multi-structure designs can only be re-coordinated and redesigned manually, hindering rapid updates. Furthermore, traditional skeleton design methods lack a unified design platform, preventing collaborative work between multiple structural designs and hindering the rapid identification of changes in upstream and downstream models. This results in frequent model interference issues, requiring multiple coordination and modification steps, leading to low work efficiency. Summary of the Invention

[0011] The technical problem solved by this invention is to overcome the shortcomings of the existing technology and propose a parametric correlation remote sensing camera development method based on TeamCenter. This method enables multi-person collaboration on a unified platform, which can quickly complete the development and updating of models and greatly improve the design efficiency of remote sensors.

[0012] The technical solution of this invention is: a method for developing a parametrically correlated remote sensing camera based on teamcenter, the method comprising the following steps:

[0013] S1. Perform optical system design to obtain an optical system model. After completion, output the optical parameter table to the teamcenter structural design platform. The optical system model includes the surface model of the optical elements and the position and attitude of each optical element. The optical parameter table includes the global coordinate system of the optical system, the spatial position information of each optical element in the global coordinate system, the attitude information of the optical elements, and the surface equation information of each optical element in its respective optical element coordinate system.

[0014] S2. In the TeamCenter structural design platform, a top-level skeleton model is established based on optical parameters and stored in the TeamCenter design platform. The top-level skeleton model restores all parameterized surfaces in the optical system model, including all information in the optical parameter table. The reference coordinate system in the top-level skeleton model is the global coordinate system of the optical system. The coordinate systems of each optical element are consistent with the coordinate system definition in the optical software of the optical system. The surface equation information and aperture of each optical element in its respective optical element coordinate system are consistent with its definition in the optical software.

[0015] S3. Based on the parameter publishing mechanism of the structural software, the optical surfaces with all optical parameters established in the top-level skeleton model are published using a publishing geometry operation, and the parameters in the top-level skeleton model are published to each secondary skeleton model; each secondary skeleton model only contains the optical surfaces published from the top-level skeleton model.

[0016] S4. Using the optical surfaces in each secondary skeleton model as reference surfaces, design the structural components separately to obtain and store each secondary structural model. Each secondary structural model inherits the parameters in each secondary skeleton model and is driven by the secondary skeleton model. By associating the secondary skeleton model with the top-level skeleton model, the entire remote sensing camera model can be obtained after each secondary structural model has completed its design.

[0017] Preferably, the above-mentioned method for developing parametrically correlated remote sensing cameras based on teamcenter further includes the following steps:

[0018] When the optical design is updated and iterated, repeat steps S1 and S2 to update the top-level skeleton model and save it in TeamCenter. This allows the entire remote sensing camera model to be updated within the TeamCenter platform.

[0019] Preferably, in step S1, the spatial position information of each optical element in the global coordinate system is the coordinate of the center point of the mother mirror of the optical element in the global coordinate system.

[0020] Preferably, the surface equations of each optical element in its respective coordinate system are:

[0021]

[0022] Where R is the radius of the surface, K is the quadratic coefficient, D is the light transmission diameter, B is the off-axis amount, A1 is the first aspherical coefficient, A2 is the second aspherical coefficient, A3 is the third aspherical coefficient, A4 is the fourth aspherical coefficient, A5 is the fifth aspherical coefficient, A6 is the sixth aspherical coefficient, A7 is the seventh aspherical coefficient, and A8 is the eighth aspherical coefficient.

[0023] Preferably, the attitude information of the optical element is represented by the rotation angle α of the optical element about the X-axis, the rotation angle β of the Y-axis, and the rotation angle γ of the Z-axis of their respective optical element coordinate systems.

[0024] Preferably, the global coordinate system takes the center vertex of the first surface of the first optical element through which the light path passes as the origin, the incident direction of the light as the Z-axis, the direction perpendicular to the computer screen inward or outward as the X-axis, and the Y-axis follows the right-hand rule.

[0025] Preferably, the coordinate system of the optical element has the center of the mother mirror of the optical element as the origin, the X-axis is perpendicular to the computer screen and points inward or outward, and the Y-axis follows the right-hand rule.

[0026] The advantages of this invention compared to the prior art are:

[0027] (1) This invention overcomes the long design cycle caused by the inability to update the original design due to the transfer of "intermediate format files" between optics and structure through a unified design benchmark and adopts associative design. It enables the model to be updated as parameters change, thus improving the R&D time.

[0028] (2) By using a unified platform, the drawbacks of inconsistent reference models among many designers and inconsistent collaborative design among multiple people are avoided, which can improve the accuracy of research and development.

[0029] (3) The method of the present invention has strong engineering feasibility, low error rate, and can effectively improve design efficiency and shorten the design cycle of remote sensors. Attached Figure Description

[0030] Figure 1 A flowchart for the iterative design of the optical mechanism of a traditional remote sensing camera;

[0031] Figure 2 Flowchart of the iterative optical-mechanical design of a remote sensing camera according to an embodiment of the present invention;

[0032] Figure 3 This is a top-level optical skeleton model diagram of an embodiment of the present invention;

[0033] Figure 4 This is a schematic diagram of the optical element skeleton model according to an embodiment of the present invention;

[0034] Figure 5(a) shows the secondary skeleton according to the embodiment of the present invention;

[0035] Figure 5(b) shows the primary mirror structure model established based on the secondary skeleton in an embodiment of the present invention;

[0036] Figure 6 This is a diagram of a remote sensor model built based on an optical skeleton. Detailed Implementation

[0037] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0038] Figure 2 This is a flowchart illustrating the iterative optical-mechanical design process of the remote sensing camera according to the method of this invention. Figure 2 As shown, this invention provides a method for developing a parametrically correlated remote sensing camera based on teamcenter, which includes the following steps:

[0039] S1. Perform optical system design to obtain an optical system model. After completion, output the optical parameter table to the teamcenter structural design platform. The optical system model includes the surface model of the optical elements and the position and orientation of each optical element. Figure 3 This is an example of the top-level optical skeleton model of this method. In the figure, 1 is the primary mirror and its coordinate system, 2 is the secondary mirror and its coordinate system, 3 is the third mirror and its coordinate system, 4 is the fourth mirror and its coordinate system, 5 is the fifth mirror and its coordinate system, and 6 is the global coordinate system (i.e., the reference coordinate system).

[0040] The optical parameter table includes the global coordinate system of the optical system, the spatial position information of each optical element in the global coordinate system, the attitude information of the optical elements, and the surface equation information of each optical element in its respective optical element coordinate system; see Table 1 for details.

[0041] Table 1 Optical Parameters

[0042]

[0043] The spatial position information of each optical element in the global coordinate system is the coordinates of the center point of the parent mirror of the optical element in the global coordinate system. The surface equations of each optical element in its respective coordinate system are:

[0044]

[0045] Where R is the radius of the surface, K is the quadratic coefficient, D is the light transmission diameter, B is the off-axis amount, A1 is the first aspherical coefficient, A2 is the second aspherical coefficient, A3 is the third aspherical coefficient, A4 is the fourth aspherical coefficient, A5 is the fifth aspherical coefficient, A6 is the sixth aspherical coefficient, A7 is the seventh aspherical coefficient, and A8 is the eighth aspherical coefficient.

[0046] Preferably, the attitude information of the optical element is represented by the rotation angle α of the optical element about the X-axis, the rotation angle β of the Y-axis, and the rotation angle γ of the Z-axis of their respective optical element coordinate systems.

[0047] Preferably, the global coordinate system takes the center vertex of the first surface of the first optical element through which the light path passes as the origin, the incident direction of the light as the Z-axis, the direction perpendicular to the computer screen inward or outward as the X-axis, and the Y-axis follows the right-hand rule.

[0048] Preferably, the coordinate system of the optical element has the center of the mother mirror of the optical element as the origin, the X-axis is perpendicular to the computer screen and points inward or outward, and the Y-axis follows the right-hand rule.

[0049] In this step, the optical designer begins the optical design process and then passes the optical parameters to the overall structural designer after the design is completed.

[0050] S2. In the TeamCenter structural design platform, a top-level skeleton model is established based on optical parameters and stored in the TeamCenter design platform. The top-level skeleton model restores all parameterized surfaces in the optical system model, including all information in the optical parameter table. The reference coordinate system in the top-level skeleton model is the global coordinate system of the optical system. The coordinate systems of each optical element are consistent with the coordinate system definition in the optical software of the optical system. The surface equation information and aperture of each optical element in its respective optical element coordinate system are consistent with its definition in the optical software. Figure 6 This is a structural model diagram built based on a parametric skeleton. When the optical parameters change, the structural model can be updated by updating the skeleton model.

[0051] In this step, the overall structural designer establishes a parametric optical skeleton model based on the optical parameters. All parameters of the skeleton model are derived from the optical system and serve as the basis for structural design. The skeleton model should include the coordinate systems of each mirror, the global coordinates of the optical system, the positions of each optical element, surface equations, and the aperture, such as... Figure 3 As shown. The key point is that the coordinate system of each optical element in the skeleton model must be consistent with the coordinate system of the optical design software and the coordinate system definition method of the optical software. In addition, the equations of the curved surface and the aperture should be consistent with the equations and aperture definitions in the optical software.

[0052] S3. Based on the parameter publishing mechanism of the structural software, the optical surfaces with all optical parameters established in the top-level skeleton model are published using a publishing geometry operation, and the parameters in the top-level skeleton model are published to each secondary skeleton model; each secondary skeleton model only contains the optical surfaces published from the top-level skeleton model.

[0053] In this step, the overall structural designer, based on the parameter publishing mechanism of the structural software, geometrically publishes important parameters such as the coordinate system, curvature, and position of optical elements in the skeleton model, and publishes the parameters from the top-level skeleton model to the secondary skeleton model as the design basis for secondary components. The key is to achieve collaborative design among multiple designers, which requires building a unified design platform to ensure that all designers work together with consistent design benchmarks and models.

[0054] S4. Using the optical surfaces in each secondary skeleton model as reference surfaces, design the structural components separately to obtain and store each secondary structural model. Each secondary structural model inherits the parameters in each secondary skeleton model and is driven by the secondary skeleton model. By associating the secondary skeleton model with the top-level skeleton model, the entire remote sensing camera model can be obtained after each secondary structural model has completed its design. Figure 6 This is a schematic diagram of the overall model of the remote sensor based on optical components.

[0055] The secondary skeleton model is shown in Figure 5(a), and the structural design model is shown in Figure 5(b). Each structural designer has their own modeling baseline, which are independent of each other, but are connected through the top-level skeleton and a unified platform. After the design of each component is completed, the design model is stored in the TeamCenter design platform. At this time, the remote sensor model is shown... Figure 6 As shown.

[0056] The key point of this step is that each structural design process must be based on the top-level skeleton model to establish a structural model and store it on the teamcenter platform. This is to ensure that the design benchmark is consistent when working collaboratively.

[0057] In this step, structural designers develop structural designs based on the skeleton model provided by the overall structural designer. At this stage, the component structures inherit the parameters of the skeleton model and are driven by it. Each structural designer has their own modeling baseline, operating independently yet organically linked through the top-level skeleton and a unified platform. The key point is that each structural designer must build a system model based on the TeamCenter platform and the skeleton model provided by the top-level designer.

[0058] The above-mentioned method for developing parametrically correlated remote sensing cameras based on teamcenter also includes the following steps:

[0059] When the optical design is updated and iterated, repeat steps S1 and S2 to update the top-level skeleton model and save it in TeamCenter. This allows the entire remote sensing camera model to be updated within the TeamCenter platform.

[0060] The parametric correlation development method based on teamcenter provided in this invention for remote sensing cameras has the following advantages:

[0061] (1) Based on the teamcenter platform, this invention adopts the idea of ​​full parametric modeling, which eliminates the drawbacks of traditional optical design export intermediate format files lacking design benchmarks and being unable to be modified, and opens up the link of collaborative design of multiple structures.

[0062] (2) In the process of structural design, the top-level structural designer of the optical remote sensor of the present invention uses the relative coordinate position, radius, effective aperture and other parameters of each optical element provided by the optical designer to construct the top-level skeleton model of the structure, and uses the global coordinate system of the optical system as the unified design benchmark for the structural design. By publishing geometry through structural software, the top-level structural design intention is transmitted to the designers of each component on a unified design platform, and multi-person collaborative work is realized on the unified platform.

[0063] (3) When the optical system is optimized by the optical designer for various reasons and the system parameters change, the top-level structural designer can update the model uniformly by adjusting the initial modeling parameters, which greatly improves the development efficiency of the remote sensor.

[0064] In summary, this invention integrates optical parameters into the remote sensor structural design using a skeleton model based on TeamCenter. This allows for an organic link between structural and optical design, and enables multi-person collaborative work based on the TeamCenter platform. It overcomes the design flaws of conventional methods where the connection between optics and structure is limited to an "intermediate format file," making it impossible to update and enabling multi-person collaborative work. Optical parameters can be promptly transmitted to designers of each component, and multi-person collaboration can be carried out on a unified platform. This allows for rapid model development and updates, greatly improving the efficiency of remote sensor design.

[0065] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications to the technical solutions of the present invention by utilizing the methods and techniques disclosed above without departing from the spirit and scope of the present invention. Therefore, any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solutions of the present invention shall fall within the protection scope of the technical solutions of the present invention.

Claims

1. A teamcenter-based parameterized association remote sensing camera development method, characterized in that It comprises the following steps: S1, optical system design is carried out, the optical system model is obtained, and the optical parameter table is output to the teamcenter structure design platform after completion, the optical system model comprises a curved surface model of an optical element and positions and postures of each optical element; The optical parameter table comprises a global coordinate system of the optical system, spatial position information of each optical element in the global coordinate system, posture information of the optical element, and curved surface equation information of each optical element in each optical element coordinate system; The spatial position information of each optical element in the global coordinate system is the coordinates of the mother mirror center point of the optical element in the global coordinate system. The curved surface equation of each optical element in each optical element coordinate system is: r 2 = x 2 + y 2 c=1 / R Wherein, R is the radius of the curved surface, K is the quadratic term coefficient, A1 is the first aspheric coefficient, A2 is the second aspheric coefficient, A3 is the third aspheric coefficient, A4 is the fourth aspheric coefficient, A5 is the fifth aspheric coefficient, A6 is the sixth aspheric coefficient, A7 is the seventh aspheric coefficient, and A8 is the eighth aspheric coefficient. The posture information of the optical element is represented by the rotation angle a of the optical element around the X-axis, the rotation angle β of the optical element around the Y-axis, and the rotation angle γ of the optical element around the Z-axis. S2, in the teamcenter structure design platform, a top skeleton model is established according to the optical parameters, and the top skeleton model is stored in the teamcenter design platform; the top skeleton model restores all parameter surfaces in the optical system model, including all information in the optical parameter table, and the reference coordinate system in the top skeleton model is the global coordinate system of the optical system, the optical element coordinate system is consistent with the definition of the optical software coordinate system in the optical software, and the curved surface equation information of each optical element in each optical element coordinate system is consistent with the definition in the optical software; S3, based on the parameter publishing mechanism of the structure software, the optical surface with all optical parameters in the top skeleton model is subjected to publishing geometry operation, and the parameters in the top skeleton model are published to each secondary skeleton model; each secondary skeleton model only comprises the optical surface published from the top skeleton model; S4, the structure part is designed according to the optical surface in each secondary skeleton model as a reference surface, each structure model is obtained and stored, each structure model inherits the parameters in each secondary skeleton model and is driven by the secondary skeleton model, each structure model is associated with the top skeleton model through the secondary skeleton model, and the entire remote sensing camera model is obtained after the design of each structure model is completed; When the optical design is updated and iterated, the top skeleton model is updated by repeating steps S1 and S2, and is saved in the teamcenter, that is, the update of the entire remote sensing camera model is completed in the teamcenter platform.

2. The teamcenter-based parameterized association remote sensing camera development method according to claim 1, characterized in that The spatial position information of each optical element in the global coordinate system in step S1 is the coordinates of the mother mirror center point of the optical element in the global coordinate system.

3. The teamcenter-based parameterized association remote sensing camera development method according to claim 1, characterized in that The global coordinate system takes the center vertex of the first face of the first optical element through which the light path passes as the origin, the light incident direction as the Z-axis direction, the direction perpendicular to the computer screen inward or outward as the X-axis, and the Y-axis follows the right-hand rule.

4. The teamcenter-based parameterized association remote sensing camera development method according to claim 1, characterized in that The optical element coordinate system takes the center of the mother mirror of the optical element as the origin, the direction perpendicular to the computer screen inward or outward as the X-axis, and the Y-axis follows the right-hand rule.

Images