Large-size mesh antenna profile measuring method based on total-station scanner

Abstract

The invention relates to a large-size mesh antenna profile measurement method based on a total-station scanner, and the method comprises the steps: building a global control reference through a laser tracker, obtaining the point cloud data of the surface of a mesh antenna at a plurality of stations through the total-station scanner, and carrying out the registration analysis of the point cloud data and a standard digital model, thereby obtaining the deviation of the profile of the antenna. Comprising the following steps: S1, obtaining antenna profile point cloud; s2, splicing the obtained point cloud data; s3, performing rough processing on the molded surface point cloud data; s4, precisely processing the point cloud data of the molded surface; s5, analyzing to obtain the profile deviation of the antenna; according to the measurement method, a large amount of point cloud data on the surface of the large-size mesh antenna can be obtained, the range of a measurement field can be expanded according to the size of the antenna, the limitation of the measurement range is broken through, the molded surface state of the mesh antenna can be reflected more meticulously, and the measurement efficiency can be remarkably improved when facing ultra-large or extremely-large antennas.

Description

Technical Field

[0001] This invention relates to the field of large-size spaceborne mesh antenna profile measurement, and in particular to a method for measuring the profile of large-size mesh antennas based on a total station scanner. Background Technology

[0002] Spaceborne antennas are a crucial component of spacecraft, and their surface accuracy directly determines the operational quality of space equipment. High-precision spaceborne antennas have always been a key research focus in the international aerospace field. Regarding spaceborne deployable antennas, antennas with a reflector aperture of 4m or greater are considered large antennas. Large space deployable antennas with an aperture of 20m or more are typically referred to as ultra-large deployable antennas, and those exceeding 50m, or even reaching 100m, are considered extremely large aperture deployable antennas. The "large-size antenna" proposed in this invention refers to deployable antennas with an aperture of 10m or more.

[0003] Currently, there are various measurement methods for antenna profile measurement both domestically and internationally, including theodolite system intersection measurement method, total station measurement method, articulated arm coordinate measuring machine measurement method, and industrial photogrammetry method. Industrial photogrammetry method is mainly used in the direction of deployable antenna profile measurement.

[0004] Traditional industrial photogrammetry requires attaching markers to the object being measured. For the measurement of large-size mesh antenna profiles, a large number of markers need to be attached. This not only takes a long time to prepare for the measurement, but the weight of the markers also affects the antenna profile. Furthermore, as the antenna size increases, the difficulty of stitching the global photos in industrial photogrammetry increases, and the stitching accuracy decreases significantly, making it difficult to meet the needs of measuring large-size mesh antenna profiles.

[0005] Three-dimensional laser scanning technology is a rapidly developing measurement technique in recent years. This technology can quickly acquire massive amounts of point cloud data of the surface of the object being measured, thereby enabling precise measurement of the object's shape. Currently, some experts and scholars at home and abroad have attempted to use three-dimensional laser scanning technology to measure the surface profile of large-size spaceborne mesh antennas. However, due to the lack of breakthroughs in key technologies such as high-precision stitching of multi-station point cloud data and fine segmentation of point clouds, only measurements of small solid-surface antennas have been achieved. A specific and systematic method for measuring the surface profile of large-size mesh antennas has not yet been developed.

[0006] With the development of aerospace technology, mesh antennas have gradually become the mainstream of spaceborne antennas. Furthermore, the size of mesh antennas is increasing, and the requirements for surface accuracy are becoming more stringent. Using industrial photogrammetry to measure the surface of large-size mesh antennas is becoming increasingly difficult to meet the requirements of antenna assembly and manufacturing. Therefore, the improvement and innovation of measurement methods for large-size mesh antenna surfaces is an urgent problem to be solved. Summary of the Invention

[0007] Based on the above technical background, the purpose of this invention is to provide a method for measuring the profile of a large-size mesh antenna based on a total station scanner. This method uses a laser tracker to establish a global control reference, uses a total station scanner to acquire point cloud data of the mesh antenna surface at multiple stations, and performs registration analysis with a standard digital model to obtain the antenna profile deviation.

[0008] The technical solution provided by this invention includes the following steps:

[0009] S1: Antenna surface point cloud acquisition

[0010] Based on the spatial distribution of the mesh antenna's shape and size, control points are set up using the tracker's target mount and target sphere, and a laser tracker is used to measure the coordinates of all control points through a single station.

[0011] S2: Stitch together the acquired point cloud data

[0012] After scanning, the data from the full-site scanner is imported into its accompanying software for stitching. The stitched point cloud has a lot of noise, mainly including the point cloud data on the antenna frame mesh, the antenna back support structure, and the frame nodes. Further noise removal processing is required for the point cloud.

[0013] S3: Coarse processing of surface point cloud data

[0014] Since the MS60 scanning process is a non-discriminatory measurement, the point cloud data of the antenna mesh surface and the antenna back support structure and frame nodes are obtained at the same time. For point cloud data that is significantly deviated from the antenna mesh surface, it can be deleted by directly selecting it in the software. The point cloud data on the frame nodes is closely attached to the antenna mesh surface. Since the antenna mesh surface and the nodes are made of different materials, the intensity values ​​of the corresponding point cloud data are different. Based on this property, the point cloud data is separated according to reflectivity.

[0015] S4: Fine processing of surface point cloud data

[0016] After the coarse processing is completed, most of the noise has been removed. However, there are still noises at the antenna frame mesh and frame nodes. Therefore, further fine processing of the point cloud is required. The standard CAD antenna digital model is imported, and the point cloud of the frame node and the point cloud of the frame mesh are separated by registration with the digital model. After separation, the digital model and the mesh are re-registered. The digital model is moved and the separation operation is repeated until the noise is completely removed, and the processed antenna point cloud is obtained.

[0017] S5: Analysis yields antenna profile deviation

[0018] After removing noise, the complete point cloud retains the mesh point cloud to the greatest extent possible by removing noise such as suspension points and nodes. The antenna mesh point cloud data is then compared and analyzed with the antenna design model to obtain the antenna profile deviation.

[0019] Furthermore, in S1, the method for measuring the coordinates of all control points is as follows: the single-point measurement function of the instrument is used to measure the coordinates of more than 4 control points. The coordinates of the control points calibrated by the laser tracker are used as the coordinate transformation reference to transform the measurement coordinate system of the total station scanner to the control field coordinate system. After the total station scanner completes scanning at one station, it moves to the next station until the acquired point cloud data completely covers the entire surface of the antenna.

[0020] Furthermore, in S1, the whole-site scanner model is MS60.

[0021] Furthermore, in S1, at least five target ball control points are provided.

[0022] Furthermore, in S1, the station positions surround the antenna and are located to the side of the antenna. This station distribution is beneficial for scanning the point cloud on both sides of the parabolic antenna to obtain the control points used (represented by the red crosses). One control point can be used by multiple stations, and several control points surround the antenna, so that each station can use four to five control points for orientation.

[0023] Furthermore, in S1, the station moves forward from one side of the antenna to the other. When selecting the scanning range at the next station location, there must be a certain degree of overlap with the previous station to ensure the integrity of the antenna point cloud.

[0024] Furthermore, in S2, the assembled point cloud forms a circular parabolic surface.

[0025] The beneficial technical effects of this invention are as follows:

[0026] (1) This method can acquire massive high-density point cloud data, which, compared with the discrete point data acquired by traditional measurement techniques, enables full-dimensional and refined characterization of the mesh antenna profile. On the one hand, massive point cloud data can completely cover key parts of the antenna mesh structure, such as latitude and longitude lines, nodes, and curved transition areas, accurately capturing the minute undulations, aperture distribution, and contour details of the profile, avoiding the loss or distortion of profile features due to insufficient data sampling, providing data support for subsequent antenna profile fitting, accuracy analysis, and error correction, and significantly improving the accuracy and completeness of profile characterization. On the other hand, high-density point cloud data can effectively adapt to the complex spatial curved surface morphology of mesh antennas. Whether it is a regular parabola, hyperboloid, or a customized irregular curved surface structure, the spatial curvature change of the profile can be accurately reproduced through the dense arrangement of point cloud data, providing more reliable three-dimensional data basis for antenna design verification, performance optimization, and operation and maintenance, and helping to improve the signal transmission and reception stability and overall working performance of the antenna.

[0027] (2) This invention adopts a completely non-contact measurement mode, which, compared with traditional contact measurement and measurement methods that require the pasting of markers, achieves multiple improvements in measurement efficiency, surface integrity, and measurement accuracy. In the measurement preparation stage, there is no need for tedious operations such as pasting markers and positioning calibration on the antenna surface, which greatly shortens the preparation time and reduces manual intervention. This not only reduces labor costs but also effectively improves the overall efficiency of the measurement work, making it particularly suitable for rapid measurement scenarios such as batch antenna testing or large mesh antennas.

[0028] From the perspective of surface protection, the manual application of markers can directly interfere with the antenna mesh structure due to factors such as adhesive adhesion and marker application pressure, potentially leading to localized mesh damage and misalignment of latitude and longitude lines. The method of this invention completely avoids this risk, preserving the original antenna surface state to the greatest extent possible and preventing secondary damage caused by measurement operations. Furthermore, while the added weight of numerous markers may be small individually, its cumulative effect can cause surface deformation in highly flexible mesh antennas. This is especially true for large-span, ultra-thin mesh structures, where such deformation can severely impact the accuracy of measurement results, thus misleading subsequent surface adjustments and performance optimization. This invention eliminates the influence of the added weight of the markers, preventing such deformation at its source. This ensures that the measurement data accurately reflects the actual surface state of the antenna, improving measurement accuracy and providing a more precise basis for antenna performance evaluation and optimization, thus guaranteeing the antenna's surface accuracy and operational stability under actual working conditions.

[0029] In addition, the non-contact measurement mode is also applicable to antenna measurements under various special working conditions, such as when the antenna surface has a fragile coating, special materials, or is located at high altitude or in a confined space. Measurements can be completed without contacting the antenna, further expanding the applicability of the measurement method and improving the practicality and versatility of the technology. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the MS60 total station scanner used in this invention.

[0031] Figure 2 This is a schematic diagram of the scanning principle of the present invention.

[0032] Figure 3 This is a schematic diagram of the measurement process of the present invention.

[0033] Figure 4 This is a schematic diagram of the target holder and target ball of the tracking instrument of the present invention.

[0034] Figure 5 This is a schematic diagram showing the location of the control points (yellow dots) in this invention.

[0035] Figure 6 This is a schematic diagram showing the relative positions of the station and antenna of the total station scanner of this invention.

[0036] Figure 7 These are the top view (top) and side view (bottom) of the point cloud after the assembly of this invention.

[0037] Figure 8 This is a distribution diagram of noise points in this invention.

[0038] Figure 9 Point cloud of the back support structure region of the present invention.

[0039] Figure 10 This is a frame noise point cloud separated by reflectivity according to the present invention.

[0040] Figure 11 This is the point cloud-based model separation diagram for this invention.

[0041] Figure 12 This is a partial framework point cloud for this invention.

[0042] Figure 13 This is a point cloud of the mesh surface of the present invention (still containing noise points).

[0043] Figure 14 This is the standard CAD antenna digital model of the present invention.

[0044] Figure 15 This is the antenna point cloud processed according to the present invention.

[0045] Figure 16 This is a schematic diagram of the site distribution and antenna positions for this invention.

[0046] Figure 17 This is the distribution of control points used by each station in this invention.

[0047] Figure 18 This is the point cloud deviation trend of the whole-site scanner of the present invention.

[0048] Figure 19 The RMS deviation of the whole-site scanner in this invention.

[0049] Figure 20 This invention provides a trend of point cloud deviation in photogrammetry.

[0050] Figure 21 The RMS (Reference Mean Size) is the deviation of industrial photogrammetry in this invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Example 1

[0053] In specific implementation of this invention, the following steps are included:

[0054] S1: Antenna surface point cloud acquisition

[0055] Based on the spatial distribution of the mesh antenna, including its shape and size, and relying on the tracker target mount and target sphere (such as...), Figure 4 As shown in the figure, control points were laid out, and the coordinates of all control points were measured using a laser tracker through a single station. The control point locations are as follows. Figure 5 As shown;

[0056] Before scanning the antenna profile using a total station scanner, the coordinates of at least four control points are first measured using the instrument's single-point measurement function. The coordinates of these control points, calibrated by the laser tracker, are used as the coordinate transformation reference to convert the total station scanner's measurement coordinate system to the control field coordinate system. After completing the scan at one station, the total station scanner moves to the next station until the acquired point cloud data completely covers the entire surface of the antenna. The relative positions of the total station scanner's location and the antenna are as follows: Figure 6 As shown;

[0057] S2: Stitch together the acquired point cloud data

[0058] After scanning, the data from the full-site scanner was imported into its accompanying software for stitching. The stitched point cloud showed significant noise, primarily from the antenna frame mesh, the antenna back support structure, and point cloud data at frame nodes (such as...). Figure 7 As shown in the figure, further noise removal processing is required in the point cloud.

[0059] S3: Coarse processing of surface point cloud data

[0060] To accurately extract point cloud data from the surface of the mesh antenna, a coarse-to-fine processing method is used to process the point cloud.

[0061] Point cloud coarse processing: Since the MS60 scan is a non-discriminatory measurement, while acquiring the point cloud data of the antenna mesh, the point cloud data of the antenna back support structure and frame nodes are also obtained (e.g., Figure 8-9 As shown), point cloud data that is significantly deviated from the antenna mesh can be deleted in the software by directly selecting it. Point cloud data on the frame nodes are closely attached to the antenna mesh. Since the antenna mesh and the nodes are made of different materials, the intensity values ​​of the corresponding point cloud data are different. Based on this property, the point cloud data is separated according to reflectivity (e.g., Figure 10 (as shown)

[0062] S4: Fine processing of surface point cloud data

[0063] Point cloud refinement: After coarse processing, most noise has been removed, but noise still exists at the frame mesh and nodes. Therefore, further point cloud refinement is required. Import the standard CAD antenna digital model, and separate the point cloud at the frame mesh and nodes by registering the model with the digital model. After separation, re-register the digital model with the mesh, move the digital model, and repeat the separation operation until all noise is removed, resulting in the refined antenna point cloud (e.g., ...). Figure 11-15 (as shown)

[0064] S5: Analysis yields antenna profile deviation

[0065] After removing noise, the complete point cloud retains the mesh point cloud to the greatest extent possible by removing noise such as suspension points and nodes. The antenna mesh point cloud data is then compared and analyzed with the antenna design model to obtain the antenna profile deviation.

[0066] The instrument used in this invention is a total station scanner, which, in addition to the measurement functions of a traditional total station, can also perform three-dimensional scanning measurements. Therefore, it can acquire both high-precision single-point coordinates of the measured target and dense point cloud data of its surface. Compared to traditional station-mounted three-dimensional laser scanners, the total station scanner uses its own single-point coordinate measurement function to complete station orientation, thereby achieving high-precision point cloud stitching. The Leica MS60 total station scanner (…) Figure 1The total station scanner is a typical product currently on the market. Its angle measurement accuracy can reach 0.5″, automatic target recognition (ATR) distance is up to 1500 m, and distance measurement accuracy is 1 mm + 1.5 × 10⁻⁶ (D is the distance). Prism-free distance measurement is up to 2000 m, and the scanning distance is 1000 m with a scanning accuracy of 0.6 mm. During the scanning process, the total station scanner utilizes its vertical and horizontal motors and other rotating mechanisms to perform omnidirectional scanning of the target, thereby obtaining the three-dimensional coordinates of uniform spatial measurement points. The scanning principle is described in [link to documentation]. Figure 2 .

[0067] The total station scanner combines the single-point measurement function of a total station with the point cloud acquisition function of a 3D laser scanner, thus maximizing its capabilities when conducting large-scale measurements. A laser tracker is used to establish the global control field for the antenna, and the single-point measurement function of the total station scanner is employed to unify the coordinate system of multiple stations. Scanning measurements of the antenna surface are then performed at each station (see...). Figure 6 The point cloud data of the antenna surface is obtained, and the point cloud data is registered with the antenna design model to realize the measurement of the surface of a large-size spaceborne mesh antenna.

[0068] The method of this invention first uses a high-precision laser tracker to complete the calibration of the measurement control field, establishing a reliable benchmark for subsequent measurements. Then, a high-precision total station scanner is used to collect antenna profile point cloud data in a multi-station manner to obtain full-surface point cloud data of a large-size mesh antenna. The coordinate system is restored by using the single-point measurement function of the total station scanner, thereby completing the coordinate system transformation and achieving seamless stitching of point clouds from each station. This completes the full-surface point cloud measurement of the entire antenna profile. Afterward, the full-surface point cloud data of the antenna is finely segmented and compared with the antenna design model to obtain the antenna profile accuracy.

[0069] To verify the effectiveness of the measurement method, the above method was used to measure the surface of a large mesh antenna. The antenna is a large, deployable mesh antenna with a diameter of approximately 8 meters and an overall circular parabolic shape. The main measurement process is as follows:

[0070] 1. Based on the spatial distribution of the mesh antenna's shape and size, control points were deployed using a target base, and a laser tracker was used to measure the coordinates of all control points from a single station. Five target sphere control points were deployed around the antenna, and their coordinates were measured using a laser tracker.

[0071] 2. Orientation of a total station scanner requires measuring the coordinates of at least four control points using the instrument's single-point measurement function. The coordinates of the control points calibrated by the laser tracker are used as the coordinate transformation reference to transform the total station scanner's measurement coordinate system to the control field coordinate system. The station layout and the control points used are as follows: Figure 16 As shown.

[0072] The stations are positioned around the antenna, to its side. This distribution facilitates point cloud scanning on both sides of the parabolic antenna. The red crosses represent the control points used; one control point can be used by multiple stations. Five control points surround the antenna, allowing each station to use four to five control points for orientation.

[0073] 3. After completing the scan at one station, the total station scanner moves to the next station until the acquired point cloud data completely covers the entire surface of the antenna. The relative positions of the total station scanner and the antenna are as follows: Figure 17 As shown.

[0074] The station's forward movement is from one side of the antenna to the other. When selecting the scanning range at the next station location, there should be a certain degree of overlap with the previous station to ensure the integrity of the antenna point cloud. Figure 17 The control points used at each station are marked with white arrows.

[0075] 4. After scanning, process the acquired point cloud data. First, import the data from the full-site scanner into its accompanying software for stitching. The stitched overall point cloud is shown below. Figure 7 As shown, the stitched point cloud is a circular parabola. There are many noise points on the back structure and nodes, which require subsequent point cloud noise removal processing.

[0076] 5. Coarse Point Cloud Processing. Since the MS60 scan is a non-discriminatory measurement, point clouds from the antenna's back structure, boom, and frame nodes are also acquired along with the antenna surface point cloud data. Point cloud data that is significantly off-center from the antenna surface can be deleted by directly selecting it in the software.

[0077] 6. Point Cloud Refinement. The point cloud data at the antenna surface nodes is closely attached to the antenna mesh. Given that the antenna mesh and nodes are made of different materials, the intensity values ​​of the corresponding point cloud data differ. Based on this property, the point cloud data is separated. On this basis, a standard CAD antenna digital model is imported, and after initial registration, fine noise removal is performed by moving the digital model. Further, some incompletely separated frame node point clouds are removed, thus achieving fine segmentation of the point cloud data. The processed point cloud is shown below. Figure 8 .

[0078] The processed point cloud only retains the point cloud of the antenna mesh surface, from Figure 8 It is evident that the noise at the node location has been removed, resulting in a hollowed-out appearance. All noise except for the antenna has been cleared, making the results more reliable when registered with the standard digital-analog converter.

[0079] 7. After point cloud acquisition, the antenna surface point cloud data is compared and analyzed with the antenna design model. The antenna surface RMS is 1.14mm, and the registration result is as follows. Figure 18-19 As shown.

[0080] Figure 18 The image shows the deviation trend after registration between the whole-site scanner and the standard digital model. The arrows represent the deviation direction of points in that area relative to the standard digital model. The overall deviation RMS is 1.14 mm. To verify the effectiveness of the proposed method, industrial photogrammetry was used to measure the antenna profile, and the measured RMS was 0.31 mm. The nodal coordinates and antenna profile registration results are as follows: Figure 20-21 As shown.

[0081] By comparing the measurement results (Table 1) and the deviation trend, it was found that the measurement results of the total station scanner and the industrial photogrammetry were similar and the trend of change was basically the same. The RMS of the antenna profile differed by about 0.8 mm. Compared with the industrial photogrammetry technology, the total station scanner has the following significant advantages when facing the measurement of large-size antenna profiles: (1) It can acquire massive point cloud data, which can more finely characterize the profile features of the mesh antenna; (2) The method proposed in this invention is a completely non-contact measurement, which does not require pasting markers on the antenna surface, shortens the preparation time in the early stage of measurement, avoids the direct interference caused by manually pasting markers to the antenna profile, and eliminates the antenna profile deformation problem caused by the additional weight of a large number of markers.

[0082] Table 1 Comparison of results from whole-station scanner and photogrammetry

[0083]

[0084] The method proposed in this invention evaluates the measurement accuracy of the MS60 total station scanner for large-aperture, large-size antenna surfaces, verifying its applicability to the accuracy requirements of large-size antenna surface measurements. It can not only obtain a large amount of point cloud data of the surface of large-size mesh antennas, but also expand the measurement field range according to antenna size, breaking through the limitations of measurement range. Furthermore, it can reflect the surface state of mesh antennas in greater detail, significantly improving measurement efficiency when dealing with ultra-large or extremely large antennas.

[0085] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. For those skilled in the art, other modifications can be easily made. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details.

Claims

1. A method for measuring the profile of a large-size mesh antenna based on a total station scanner, characterized in that, Includes the following steps: S1: Antenna surface point cloud acquisition Based on the spatial distribution of the mesh antenna's shape and size, control points are set up using the tracker's target mount and target sphere, and a laser tracker is used to measure the coordinates of all control points through a single station. S2: Stitch together the acquired point cloud data After scanning, the data from the full-site scanner is imported into its accompanying software for stitching. The stitched point cloud has a lot of noise, mainly including the point cloud data on the antenna frame mesh, the antenna back support structure, and the frame nodes. Further noise removal processing is required for the point cloud. S3: Coarse processing of surface point cloud data Since the MS60 scanning process is a non-discriminatory measurement, the point cloud data of the antenna mesh surface and the antenna back support structure and frame nodes are obtained at the same time. For point cloud data that is significantly deviated from the antenna mesh surface, it can be deleted by directly selecting it in the software. The point cloud data on the frame nodes is closely attached to the antenna mesh surface. Since the antenna mesh surface and the nodes are made of different materials, the intensity values ​​of the corresponding point cloud data are different. Based on this property, the point cloud data is separated according to reflectivity. S4: Fine processing of surface point cloud data After the coarse processing is completed, most of the noise has been removed. However, there are still noises at the antenna frame mesh and frame nodes. Therefore, further fine processing of the point cloud is required. The standard CAD antenna digital model is imported, and the point cloud of the frame node and the point cloud of the frame mesh are separated by registration with the digital model. After separation, the digital model and the mesh are re-registered. The digital model is moved and the separation operation is repeated until the noise is completely removed, and the processed antenna point cloud is obtained. S5: Analysis yields antenna profile deviation After removing noise, the complete point cloud retains the mesh point cloud to the greatest extent possible by removing noise such as suspension points and nodes. The antenna mesh point cloud data is then compared and analyzed with the antenna design model to obtain the antenna profile deviation.

2. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S1, the method for measuring the coordinates of all control points is as follows: the single-point measurement function of the instrument is used to measure the coordinates of more than 4 control points. The coordinates of the control points calibrated by the laser tracker are used as the coordinate transformation reference. The measurement coordinate system of the total station scanner is transformed into the control field coordinate system. After the total station scanner completes scanning at one station, it moves to the next station until the acquired point cloud data covers the entire surface of the antenna.

3. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S1, the whole-site scanner model is MS60.

4. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S1, at least 5 target ball control points are provided.

5. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S1, the stations are positioned around the antenna and to the side of the antenna. This station distribution is beneficial for scanning the point cloud on both sides of the parabolic antenna. The red crosses represent the control points used. One control point can be used by multiple stations. Several control points surround the antenna, allowing each station to use four to five control points for orientation.

6. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S1, the station moves forward from one side of the antenna to the other. When selecting the scanning range at the next station location, there must be a certain degree of overlap with the previous station to ensure the integrity of the antenna point cloud.

7. The method for measuring the profile of a large-size mesh antenna based on a total station scanner according to claim 1, characterized in that, In S2, the assembled point cloud forms a circular parabolic surface.

Images