A high-precision multi-parameter optical intelligent detection system

Abstract

The present invention discloses a high-precision multi-parameter optical intelligent detection system, comprising: a space trajectory moving mechanism, a bonding defect measurement module, a profile accuracy measurement module, a micro-deformation measurement module, a global positioning system and a control processing module; wherein the bonding defect measurement module, the profile accuracy measurement module and the micro-deformation measurement module are all arranged on the space trajectory moving mechanism. The present invention realizes efficient online one-stop detection of composite material structure products of spacecraft, and significantly improves product detection capability and comprehensive efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of composite material structure performance testing for spacecraft, and in particular relates to a high-precision multi-parameter optical intelligent detection system. Background Art

[0002] The demand for carbon fiber composite structures in aerospace research and development missions has increased year by year. The contradiction between the improvement of product development efficiency and the existing testing capacity has become increasingly prominent. The existing testing methods for composite structure products are inefficient and costly. Product testing efficiency has become a bottleneck problem in model development and it is difficult to match future production capacity requirements. The testing process is carried out in various testing laboratories, and the overall layout has not been combined with the characteristics of the production process and the coordination of the production process. The testing scheduling cannot be done in real time and efficiently. It is difficult to achieve a rapid response in the testing process for the rapidly growing testing needs of carbon fiber composite structures of spacecraft, which affects product production efficiency. Summary of the invention

[0003] The technical problem solved by the present invention is: to overcome the deficiencies of the prior art, to provide a high-precision multi-parameter optical intelligent detection system, to achieve efficient online one-stop detection of spacecraft composite material structure products, and to significantly improve product detection capabilities and overall efficiency.

[0004] The object of the present invention is achieved through the following technical solutions: a high-precision multi-parameter optical intelligent detection system, comprising: a spatial trajectory moving mechanism, a bonding defect measurement module, a surface accuracy measurement module, a micro-deformation measurement module, a global positioning system and a control processing module; wherein the bonding defect measurement module, the surface accuracy measurement module and the micro-deformation measurement module are all arranged on the spatial trajectory moving mechanism; the bonding defect measurement module collects the changes in thermal information on the surface of the composite material structure and obtains the temperature time series; the micro-deformation measurement module collects multiple visible light images, and splices the multiple visible light images to obtain micro-deformation images; the surface accuracy measurement module The accuracy measurement module projects fringes on the surface of the composite material structure; the global positioning system collects fringes, analyzes the fringes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains a deformation accuracy image under the reference coordinates according to the three-dimensional point cloud; performs coordinate transformation on the temperature time series to obtain a temperature time series under the reference coordinates; performs coordinate transformation on the micro-deformation image to obtain a micro-deformation image under the reference coordinates; the control processing module processes the temperature time series under the reference coordinates to obtain bonding defect information, processes the deformation accuracy image under the reference coordinates to obtain profile accuracy information, and processes the micro-deformation image under the reference coordinates to obtain micro-deformation information.

[0005] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the spatial trajectory moving mechanism includes a four-axis motion guide rail and a three-degree-of-freedom rotating gimbal; wherein the three-degree-of-freedom rotating gimbal is connected to the four-axis motion guide rail; the bonding defect measurement module, the surface accuracy measurement module and the micro-deformation measurement module are all arranged on the three-degree-of-freedom rotating gimbal.

[0006] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the bonding defect measurement module includes an infrared camera, a heat source and a first image processing module; wherein the infrared camera and the heat source are both arranged on the three-degree-of-freedom rotating gimbal; the first image processing module is connected to the infrared camera; the heat source applies heat to the composite material structure; the infrared camera: collects changes in thermal information on the surface of the composite material structure, and transmits the changes in thermal information on the surface of the composite material structure to the first image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a first heterogeneous calibration object image, and transmits the first heterogeneous calibration object image to the first image processing module; the first image processing module: receives changes in thermal information on the surface of the composite material structure, obtains a temperature time series according to the changes in thermal information on the surface of the composite material structure, and transmits the temperature time series to the global positioning system; receives the first heterogeneous calibration object image, extracts feature coordinates in the first heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the first heterogeneous calibration object image to the global positioning system.

[0007] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the temperature time series includes thermal information of normal areas and areas containing bonding defects.

[0008] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the thermal information includes temperature, fitting coefficient, phase and first-order or multi-order derivatives.

[0009] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the micro-deformation measurement module includes a binocular camera, a high-brightness monochromatic light source and a second image processing module; wherein the binocular camera and the high-brightness monochromatic light source are both arranged on the three-degree-of-freedom rotating gimbal; the high-brightness monochromatic light source provides light source for the surface of the composite material structure; the binocular camera: collects a plurality of visible light images, and transmits the plurality of visible light images to the second image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a second heterogeneous calibration object image, and transmits the second heterogeneous calibration object image to the second image processing module; the second image processing module: receives a plurality of visible light images, performs image stitching on the plurality of visible light images to obtain a micro-deformation image, and transmits the micro-deformation image to the global positioning system; receives the second heterogeneous calibration object image, extracts feature coordinates in the second heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the second heterogeneous calibration object image to the global positioning system.

[0010] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the surface accuracy measurement module includes a projection source; wherein the projection source is arranged on the three-degree-of-freedom rotating gimbal; the projection source projects stripes onto the surface of the composite material structure.

[0011] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the global positioning system includes a column, a CCD camera and a third image processing module; wherein the CCD camera is connected to the column, and the column is arranged on the three-degree-of-freedom rotating gimbal; the third image processing module is connected to the CCD camera; the CCD camera: collects stripes and transmits the stripes to the third image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a third heterogeneous calibration object image, and transmits the third heterogeneous calibration object image to the third image processing module; the third image processing module: receives stripes, analyzes the stripes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains the reference coordinates according to the three-dimensional point cloud. deformation accuracy image; receiving a third heterogeneous calibration object image, extracting feature coordinates in the third heterogeneous calibration object image through an image feature extraction algorithm, obtaining a coordinate transformation relationship between a CCD camera and an infrared camera according to feature coordinates in the first heterogeneous calibration object image and feature coordinates in the third heterogeneous calibration object image, and obtaining a coordinate transformation relationship between a CCD camera and a binocular camera according to feature coordinates in the second heterogeneous calibration object image and feature coordinates in the third heterogeneous calibration object image; according to the coordinate transformation relationship between the CCD camera and the infrared camera, performing coordinate transformation on a temperature time series to obtain a temperature time series under a reference coordinate; according to the coordinate transformation relationship between the CCD camera and the binocular camera, performing coordinate transformation on a micro-deformation image to obtain a micro-deformation image under a reference coordinate.

[0012] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the coordinate transformation relationship between the CCD camera and the binocular camera is obtained by iterating the nearest neighbor ICP algorithm according to the feature coordinates in the first heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image; the coordinate transformation relationship between the CCD camera and the binocular camera is obtained by iterating the nearest neighbor ICP algorithm according to the feature coordinates in the second heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image.

[0013] In the above-mentioned high-precision multi-parameter optical intelligent detection system, the image stitching includes: fusing the overlapping areas of two adjacent visible light images through the coordinate values ​​of the common points, aligning different coordinate systems, unifying multiple visible light images under the same coordinate system, and completing image stitching.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] The present invention integrates and connects the space trajectory moving mechanism, the bonding defect measurement module, the surface accuracy measurement module, the micro-deformation measurement module, and the control processing module, and designs a multi-parameter detection integrated system to achieve efficient online one-stop detection of spacecraft composite material structure products, thereby significantly improving product detection capabilities and overall efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0017] Figure 1 This is a layout diagram of a beam projection source and a micro-deformation measurement camera provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to be able to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0019] The present embodiment provides a high-precision multi-parameter optical intelligent detection system, which includes: a spatial trajectory moving mechanism, a bonding defect measurement module, a surface accuracy measurement module, a micro-deformation measurement module, a global positioning system and a control processing module; wherein the bonding defect measurement module, the surface accuracy measurement module and the micro-deformation measurement module are all arranged on the spatial trajectory moving mechanism; the bonding defect measurement module: collects changes in thermal information on the surface of the composite material structure to obtain a temperature time series; the micro-deformation measurement module: collects multiple visible light images, and splices the multiple visible light images to obtain a micro-deformation image; the surface accuracy measurement module: projects stripes on the surface of the composite material structure; the global positioning system: collects stripes, analyzes the stripes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains a deformation accuracy image under a reference coordinate according to the three-dimensional point cloud; performs coordinate transformation on the temperature time series to obtain a temperature time series under the reference coordinate; performs coordinate transformation on the micro-deformation image to obtain a micro-deformation image under the reference coordinate; the control processing module: processes the temperature time series under the reference coordinate to obtain bonding defect information, processes the deformation accuracy image under the reference coordinate to obtain surface accuracy information, and processes the micro-deformation image under the reference coordinate to obtain micro-deformation information.

[0020] The spatial trajectory moving mechanism includes a four-axis motion guide rail and a three-degree-of-freedom rotating platform; wherein the three-degree-of-freedom rotating platform is connected to the four-axis motion guide rail; the bonding defect measurement module, the surface accuracy measurement module and the micro-deformation measurement module are all arranged on the three-degree-of-freedom rotating platform.

[0021] The spatial trajectory moving mechanism is a four-axis beam frame structure, which includes four-axis motion guide rails of the first vertical axis (X1), the second vertical axis (X2), the horizontal axis (Y), and the vertical axis (Z) and a three-degree-of-freedom rotating gimbal. The moving guide rails are used to realize the movement of the bonding defect measurement module, the surface accuracy measurement module, and the micro-deformation measurement module in the entire detection space, so that the detection range matches the product range. The three-degree-of-freedom rotating gimbal is used to adjust the posture of the bonding defect measurement module, the surface accuracy measurement module, and the micro-deformation measurement module, so that their posture can adapt to the curvature changes of the product to be tested, and can realize the detection of curved composite material structure products.

[0022] The bonding defect measurement module includes an infrared camera, a heat source and a first image processing module; wherein the infrared camera and the heat source are both arranged on a three-degree-of-freedom rotating gimbal; the first image processing module is connected to the infrared camera; and the heat source applies heat to the composite material structure. Infrared camera: collects changes in thermal information on the surface of the composite material structure, and transmits the changes in thermal information on the surface of the composite material structure to the first image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a first heterogeneous calibration object image, and transmits the first heterogeneous calibration object image to the first image processing module; the first image processing module: receives changes in thermal information on the surface of the composite material structure, obtains a temperature time series according to the changes in thermal information on the surface of the composite material structure, and transmits the temperature time series to the global positioning system; receives the first heterogeneous calibration object image, extracts feature coordinates in the first heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the first heterogeneous calibration object image to the global positioning system.

[0023] The adhesive defect detection system includes an infrared camera, a heat source and a first image processing module. The adhesive defect detection system is placed on a three-degree-of-freedom rotating pan-tilt on a Z-axis moving guide rail. The Z-axis moving guide rail is installed on the front of the Y-axis moving guide rail crossbeam. The number of heat sources can be selected from 2 to 4. Pulse heat sources, continuous heat sources or modulated heat sources can be selected to apply heat to the inspected composite material structure, and the infrared camera is used to collect the changes in thermal information on the surface of the composite material structure. The first image processing module: receives the changes in thermal information on the surface of the composite material structure, obtains the temperature time series according to the changes in the thermal information on the surface of the composite material structure, and transmits the temperature time series to the global positioning system.

[0024] A heterogeneous calibration object is pasted on the surface of the composite material structure, and an infrared camera collects the heterogeneous calibration object on the surface of the composite material structure to obtain a first heterogeneous calibration object image. The first image processing module extracts feature coordinates in the first heterogeneous calibration object image through an image feature extraction algorithm.

[0025] The micro-deformation measurement module includes multiple binocular cameras, a high-brightness monochromatic light source and a second image processing module; wherein the multiple binocular cameras and the high-brightness monochromatic light source are all arranged on a three-degree-of-freedom rotating gimbal; the high-brightness monochromatic light source provides light source for the surface of the composite material structure; the binocular camera: collects multiple visible light images, and transmits the multiple visible light images to the second image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a second heterogeneous calibration object image, and transmits the second heterogeneous calibration object image to the second image processing module; the second image processing module: receives multiple visible light images, stitches the multiple visible light images to obtain a micro-deformation image, and transmits the micro-deformation image to the global positioning system; receives the second heterogeneous calibration object image, extracts the feature coordinates in the second heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the second heterogeneous calibration object image to the global positioning system.

[0026] Image stitching includes: fusing the overlapping areas of two adjacent visible light images through the coordinate values ​​of common points, registering different coordinate systems, unifying multiple visible light images under the same coordinate system, and completing image stitching.

[0027] The micro-deformation measurement system is installed on the back of the Y-axis moving guide rail beam, which includes a binocular camera, a high-brightness monochromatic light source and a second image processing module. Different numbers of binocular cameras (sensors) and light sources can be selected for composite materials of different sizes. An aluminum profile adapter is screwed on the back of the beam. The binocular camera and the high-brightness monochromatic light source are installed on the aluminum profile adapter. The distance can be changed by sliding on the aluminum profile, which can realize the micro-deformation measurement of composite materials. Figure 1 As shown. For products with larger sizes, image stitching technology is required. Image stitching technology is to match each binocular system visual image with the adjacent binocular system visual image in turn. Image matching uses the imaging model of the visual system to derive the overlapping area of ​​the two images, fuse the overlapping area through the coordinate values ​​of the common points (such as ground marking points), align different coordinate systems, unify multiple measurement images under the same coordinate system, and complete image stitching.

[0028] The surface accuracy measurement module includes a projection source, wherein the projection source is arranged on a three-degree-of-freedom rotating platform; the projection source projects fringes onto the surface of the composite material structure.

[0029] The global positioning system includes a column, a CCD camera and a third image processing module; wherein the CCD camera is connected to the column, and the column is arranged on a three-degree-of-freedom rotating gimbal; the third image processing module is connected to the CCD camera; the CCD camera: collects fringes, and transmits the fringes to the third image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a third heterogeneous calibration object image, and transmits the third heterogeneous calibration object image to the third image processing module; the third image processing module: receives fringes, analyzes the fringes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains a deformation accuracy image under the reference coordinate according to the three-dimensional point cloud; receives the third heterogeneous calibration object image, The feature coordinates in the third heterogeneous calibration object image are extracted by an image feature extraction algorithm. The coordinate conversion relationship between the CCD camera and the infrared camera is obtained according to the feature coordinates in the first heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image. The coordinate conversion relationship between the CCD camera and the binocular camera is obtained according to the feature coordinates in the second heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image. According to the coordinate conversion relationship between the CCD camera and the infrared camera, the temperature time series is coordinate converted to obtain the temperature time series under the reference coordinates. According to the coordinate conversion relationship between the CCD camera and the binocular camera, the micro-deformation image is coordinate converted to obtain the micro-deformation image under the reference coordinates.

[0030] The surface accuracy detection system includes a projection source, which is evenly distributed and installed on the back of the Y-axis moving guide beam. The projection source is evenly distributed according to the detection field of view and can realize fringe projection.

[0031] The global positioning system includes a column, a CCD camera and a third image processing module. Any two cameras that observe the projected stripes can form a binocular system, and reconstruct a three-dimensional point cloud with the phase of the stripes projected by the local system to achieve surface accuracy testing. Further, a complete composite material structure measurement morphology point cloud is obtained by high-precision surface detection as a unified detection data benchmark. Through the establishment of a global positioning network, the position of the bonding defect measurement module and the micro-deformation measurement module is positioned under the global positioning network during the detection process, and then the data is unified under the global measurement field to achieve the coordinate system transformation of the defect, surface and deformation data. The coordinate transformation is carried out using a heterogeneous calibration object. A series of feature marks that can be simultaneously recognized by the CCD camera and the infrared camera are distributed on the surface of the heterogeneous calibration object. During calibration, the visible light CCD camera and the infrared camera simultaneously collect heterogeneous calibration object images. The feature coordinates in the images collected by the CCD camera and the infrared camera are extracted respectively through the image feature extraction algorithm. The coordinate transformation relationship between the two sensors can be calculated by iterative nearest neighbor point ICP algorithm. Through this conversion relationship, the infrared camera test data can be converted to the CCD coordinate system, and then converted to the global coordinate system, unifying the benchmark with the surface accuracy and micro-deformation measurement data.

[0032] The control processing module is connected to the space trajectory moving mechanism, and the control processing module can control the space trajectory moving mechanism to move according to a preset space trajectory.

[0033] This embodiment also provides a multi-parameter optical intelligent detection method, which includes the following steps:

[0034] Step 1: Start the high-precision multi-parameter optical intelligent detection system and move the composite material structure to the middle position through the conveyor belt.

[0035] Step 2, surface accuracy test, enter the inspection size of the workpiece in the parameter setting bar in the control processing module, the control processing module connects and interacts with the surface accuracy detection module, the surface accuracy detection module establishes TCPServer, sets its own running status flag to 0 after startup, and immediately enters the listening mode. The control processing module establishes TCPClient. According to the structural size of the composite material, set the single movement distance, calculate the movement path, formulate the inspection plan, and the inspection control module drives the space trajectory moving mechanism to carry the projection source of the surface accuracy detection to move along the inspection path. After moving into place, the projector of the surface accuracy detection projects the stripe pattern onto the surface to be tested, the global positioning system collects the stripes, analyzes the stripes to obtain phase information, reconstructs the three-dimensional point cloud based on the phase information, and obtains the deformation accuracy image under the reference coordinates based on the three-dimensional point cloud.

[0036] Step 3: Micro-deformation measurement. The control processing module connects and interacts with the micro-deformation measurement module. The micro-deformation measurement module establishes TCPServer, sets its own running status flag to 0 after startup, and immediately enters the listening mode. The control processing module establishes TCPClient, and interactive communication can be carried out after the connection to realize the functions of starting micro-deformation measurement, querying the detection status, and querying the detection results. The control processing module drives the spatial trajectory moving mechanism equipped with the micro-deformation measurement module to move to the predetermined detection station, measures the deformation measurement before and after thermal loading through the binocular camera, and splices the images measured multiple times to obtain the micro-deformation image.

[0037] Step 4: Detection of adhesive defects. Establish a TCPServer with the adhesive defect detection module, set its own operating status flag to 0 after startup, and immediately enter the listening mode. The control processing module establishes a TCPClient, and interactive communication can be carried out after the connection. The control processing module drives the spatial trajectory moving mechanism to carry the adhesive defect measurement module to move to the predetermined detection position. After reaching the position, turn on the heat source, and conduct collaborative thermal imaging acquisition to obtain infrared thermal imaging data. The infrared thermal imaging data is processed and intelligently identified to indicate the center position of the defect. The control processing module will drive the laser marking device to the top of the defect center through the spatial trajectory moving mechanism, and locate and mark the identified defects to obtain the temperature time series.

[0038] Step 5: The global positioning system performs coordinate transformation on the temperature time series to obtain the temperature time series under the reference coordinates; and performs coordinate transformation on the micro-deformation image to obtain the micro-deformation image under the reference coordinates;

[0039] The temperature time series under the reference coordinates is processed by the control processing module to obtain the bonding defect information, the deformation accuracy image under the reference coordinates is processed to obtain the surface accuracy information, and the micro-deformation image under the reference coordinates is processed to obtain the micro-deformation information. Bonding defect detection, surface accuracy detection, micro-deformation measurement coordinate registration and image fusion are performed to obtain a fused image containing bonding defect information, surface accuracy information and micro-deformation information.

[0040] Step 6: The fusion image detection results are transmitted back to the detection workstation, and the detection personnel verify whether the results are qualified. If qualified, a qualified detection report is issued. If abnormal, an unqualified detection report with the fusion image is output.

[0041] This embodiment integrates and connects the space trajectory moving mechanism, bonding defect measurement module, surface accuracy measurement module, micro-deformation measurement module, and control processing module, and designs a multi-parameter detection integrated system to achieve efficient online one-stop detection of spacecraft composite material structure products, significantly improving product detection capabilities and overall efficiency.

[0042] The present embodiment designs a mechanical moving mechanism of a four-axis frame structure plus a three-degree-of-freedom rotating pan-tilt platform. The moving guide rail can be made of aluminum profiles or steel, and the motor can be a servo motor with high torque and high speed, adjustable speed and stroke, and has the characteristics of fast automated detection speed and partitioned quantitative detection; the present embodiment designs an integrated detection system for bonding defects, surface accuracy and micro-deformation measurement, which can realize the detection of three functions at the same workstation, reducing the transportation time and transportation risk; the present embodiment designs a three-dimensional mobile pan-tilt platform installed at the bottom of the beam, which can realize the angle change of the projector, CCD camera and infrared camera, and can realize high-precision adaptability detection of curved composite materials; the present embodiment designs a global positioning system, which, combined with the actual product model, through the image layering and overlay processing technology, can realize the coordinate unification of the bonding defect image, surface accuracy image and micro-deformation image and the fusion of the three images, and can realize the overall view fusion analysis of defects, surface accuracy and micro-deformation.

[0043] Although the present invention has been disclosed as above in the form of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art may make possible changes and modifications to the technical solution of the present invention by using the methods and technical contents disclosed above without departing from the spirit and scope of the present invention. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the protection scope of the technical solution of the present invention.

Claims

1. A high-precision multi-parameter optical intelligent detection system, characterized in that include: Space trajectory moving mechanism, bonding defect measurement module, surface accuracy measurement module, micro deformation measurement module, global positioning system and control processing module; among them, The bonding defect measurement module, the profile accuracy measurement module and the micro-deformation measurement module are all arranged on the space track moving mechanism; The bonding defect measurement module collects changes in thermal information on the surface of the composite material structure and obtains a temperature time series; The micro-deformation measurement module collects a plurality of visible light images and stitches the plurality of visible light images to obtain a micro-deformation image; The profile accuracy measurement module is used to project fringes on the surface of the composite material structure; The global positioning system: collects fringes, analyzes the fringes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains a deformation accuracy image under a reference coordinate according to the three-dimensional point cloud; performs coordinate transformation on the temperature time series to obtain a temperature time series under a reference coordinate; performs coordinate transformation on the micro-deformation image to obtain a micro-deformation image under a reference coordinate; The control processing module processes the temperature time series under the reference coordinates to obtain bonding defect information, processes the deformation accuracy image under the reference coordinates to obtain profile accuracy information, and processes the micro-deformation image under the reference coordinates to obtain micro-deformation information; The space trajectory moving mechanism includes a four-axis motion guide rail and a three-degree-of-freedom rotating platform; wherein, The three-degree-of-freedom rotating platform is connected to the four-axis motion guide rail; The bonding defect measurement module, the profile accuracy measurement module and the micro-deformation measurement module are all arranged on the three-degree-of-freedom rotating platform; The global positioning system includes a column, a CCD camera and a third image processing module; wherein, The CCD camera is connected to the column, and the column is arranged on the three-degree-of-freedom rotating platform; the third image processing module is connected to the CCD camera; The CCD camera collects fringes and transmits the fringes to the third image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a third heterogeneous calibration object image, and transmits the third heterogeneous calibration object image to the third image processing module; The third image processing module: receives fringes, analyzes the fringes to obtain phase information, reconstructs a three-dimensional point cloud according to the phase information, and obtains a deformation accuracy image under a reference coordinate according to the three-dimensional point cloud; receives a third heterogeneous calibration object image, extracts feature coordinates in the third heterogeneous calibration object image by an image feature extraction algorithm, obtains a coordinate conversion relationship between a CCD camera and an infrared camera according to feature coordinates in the first heterogeneous calibration object image and feature coordinates in the third heterogeneous calibration object image, obtains a coordinate conversion relationship between a CCD camera and a binocular camera according to feature coordinates in the second heterogeneous calibration object image and feature coordinates in the third heterogeneous calibration object image; according to the coordinate conversion relationship between the CCD camera and the infrared camera, performs coordinate conversion on a temperature time series to obtain a temperature time series under a reference coordinate; according to the coordinate conversion relationship between the CCD camera and the binocular camera, performs coordinate conversion on a micro-deformation image to obtain a micro-deformation image under a reference coordinate.

2. The high-precision multi-parameter optical intelligent detection system according to claim 1, characterized in that: The bonding defect measurement module includes an infrared camera, a heat source and a first image processing module; wherein, The infrared camera and the heat source are both arranged on the three-degree-of-freedom rotating platform; the first image processing module is connected to the infrared camera; The heat source applies heat to the composite structure; The infrared camera: collects changes in thermal information on the surface of the composite material structure, and transmits the changes in thermal information on the surface of the composite material structure to the first image processing module; collects heterogeneous calibration objects on the surface of the composite material structure to obtain a first heterogeneous calibration object image, and transmits the first heterogeneous calibration object image to the first image processing module; The first image processing module: receives changes in thermal information on the surface of the composite material structure, obtains a temperature time series based on the changes in the thermal information on the surface of the composite material structure, and transmits the temperature time series to the global positioning system; receives a first heterogeneous calibration object image, extracts feature coordinates in the first heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the first heterogeneous calibration object image to the global positioning system.

3. The high-precision multi-parameter optical intelligent detection system according to claim 2, characterized in that: The temperature time series includes thermal information of a normal area and an area containing bonding defects.

4. The high-precision multi-parameter optical intelligent detection system according to claim 3 is characterized in that: The thermal information includes temperature, fitting coefficients, phase, and first-order or multi-order derivatives.

5. The high-precision multi-parameter optical intelligent detection system according to claim 2, characterized in that: The micro-deformation measurement module includes a binocular camera, a high-brightness monochromatic light source and a second image processing module; wherein, The binocular camera and the high-brightness monochromatic light source are both arranged on the three-degree-of-freedom rotating gimbal; The high-brightness monochromatic light source provides light to the surface of the composite material structure; The binocular camera: collects a plurality of visible light images, and transmits the plurality of visible light images to the second image processing module; collects a heterogeneous calibration object on the surface of the composite material structure to obtain a second heterogeneous calibration object image, and transmits the second heterogeneous calibration object image to the second image processing module; The second image processing module: receives multiple visible light images, stitches the multiple visible light images to obtain a slightly deformed image, and transmits the slightly deformed image to the global positioning system; receives a second heterogeneous calibration object image, extracts feature coordinates in the second heterogeneous calibration object image through an image feature extraction algorithm, and transmits the feature coordinates in the second heterogeneous calibration object image to the global positioning system.

6. The high-precision multi-parameter optical intelligent detection system according to claim 5, characterized in that: The profile accuracy measurement module includes a projection source; wherein, The projection source is arranged on the three-degree-of-freedom rotating platform; The projection source projects fringes onto the surface of the composite material structure.

7. The high-precision multi-parameter optical intelligent detection system according to claim 1, characterized in that: According to the feature coordinates in the first heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image, the coordinate transformation relationship between the CCD camera and the binocular camera is obtained by iterating the nearest neighbor ICP algorithm; According to the feature coordinates in the second heterogeneous calibration object image and the feature coordinates in the third heterogeneous calibration object image, the coordinate transformation relationship between the CCD camera and the binocular camera is obtained by iterative nearest neighbor point ICP algorithm.

8. The high-precision multi-parameter optical intelligent detection system according to claim 5, characterized in that: The image stitching includes: fusing the overlapping areas of two adjacent visible light images through the coordinate values ​​of common points, unifying the multiple visible light images under the same coordinate system, and completing the image stitching.

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