Handheld recognizer and method for calibrating aerodynamic configuration of airplane

Abstract

The invention provides a handheld recognizer and method for aircraft aerodynamic configuration verification, the handheld recognizer is matched with a head-mounted camera for use, the handheld recognizer comprises a mechanical structure, a control structure and a data acquisition and processing structure, and the mechanical structure serves as a supporting component of the whole device and is used for loading the control structure and the data acquisition and processing structure; the data acquisition and processing structure is communicated with the head-mounted camera and is used for collecting an image acquired by the head-mounted camera, performing intelligent detection and processing on the image and giving out a judgment result, and the control structure issues a control instruction according to the judgment result of the data acquisition and processing structure so as to complete the realization of a control function. Through the application of the method and the device, the quick and efficient detection of the positive and negative quality, the screwing quality, the riveting quality, the shellac paint quality and the pneumatic appearance quality of collision damage of the fuse can be realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of aerodynamic appearance quality detection for aircraft, and relates to a handheld identifier and method for aircraft aerodynamic appearance detection. BACKGROUND

[0002] The aerodynamic appearance of the outer surface of an aircraft is usually detected manually and visually by human eyes. Manual detection has the problem of low detection accuracy. In particular, for some semi-closed areas, manual visual detection is not conducive to observation, which reduces the detection efficiency, wastes a lot of unnecessary time, and leads to incomplete detection of the aerodynamic appearance of the aircraft. At the same time, manual detection is affected by work experience and manual touch sensitivity, resulting in errors. In addition, the quality standard varies from person to person and is greatly affected by the skill level of the inspector. Some inspectors with rich operation experience can meet the demand for manual detection quality, but it is still impossible to guarantee 100% accuracy. For inspectors with insufficient operation experience, the accuracy is low and is not conducive to actual detection requirements. In addition, when observing with the naked eye, long-time manual operation can cause eye fatigue and blurred vision, resulting in missed detection and reduced efficiency and accuracy. Therefore, in order to facilitate the detection personnel to quickly detect the aerodynamic appearance of the aircraft and achieve comprehensive detection, a method and handheld identifier for aircraft aerodynamic appearance detection are needed to quickly and efficiently detect the aerodynamic appearance with quality and quantity. SUMMARY

[0003] The application is a method and handheld identifier for aircraft aerodynamic appearance detection, which cooperates with a head-mounted camera to take video pictures of the aircraft appearance, intelligently detects and processes the pictures through an edge computing module, and displays and prompts the judgment results. Through the application of this method and device, the aerodynamic appearance quality of fuse reverses, screw quality, rivet quality, paint quality, and impact damage can be quickly and efficiently detected.

[0004] The technical solution adopted by the application is as follows:

[0005] A handheld identifier for aircraft aerodynamic appearance detection is used in cooperation with a head-mounted camera. The head-mounted camera is fixed on the head of the inspector and can rotate with the head to synchronously collect video pictures in the visual range. The handheld identifier includes a mechanical structure, a control structure, and a data acquisition and processing structure. The mechanical structure serves as a support member of the entire device and is used to load the control structure and the data acquisition and processing structure. The data acquisition and processing structure is connected with the head-mounted camera and is used to collect images collected by the head-mounted camera, intelligently detect and process the images, and give judgment results. The control structure issues control instructions according to the judgment results of the data acquisition and processing structure to complete the realization of the control function.

[0006] The mechanical mechanism comprises a main body 1, an upper cover body 2, a connecting screw 3, a connecting body 7, a double-headed stud 8, a handle 9 and a rubber sheath 10; the main body 1 is manufactured by 3D printing and is a box body with one side open, the upper cover body 2 is fixedly installed on the open side through the connecting screw 3 to form a closed box body; the connecting body 7 is fixed to the bottom end of the main body 1 and is fixedly connected with the handle 9 through the double-headed stud 8, the handle 9 is used for holding the whole hand-held identifier to realize multi-directional movement detection of the aerodynamic shape of the airplane, the double-headed stud 8 is threadedly connected with the connecting body 7 and the handle 9, meanwhile, the double-headed stud 8 can also be used for adjusting the spacing between the connecting body 7 and the handle 9 to adjust the length of use, thereby facilitating the detection of different height ranges; the rubber sheath 10 is made of rubber and is installed on the outer wall of the handle 9 in a hot melting manner to enhance the comfort.

[0007] The data acquisition and processing structure comprises a U port 12, a head-mounted camera connector 13, an edge computing module 22 and a data acquisition module 23; the U port 12 is arranged on the main body 1, the head-mounted camera connector 13 is inserted into the U port 12 to realize data connection between the head-mounted camera and the data acquisition module 23, and the data collected by the head-mounted camera is transmitted to the data acquisition module 23; the edge computing module 22 and the data acquisition module 23 are both installed inside the main body 1, the data acquisition module 23 sends the collected data to the display screen 6 in the control structure for display and to the edge computing module 22, the edge computing module 22 is provided with a trained deep learning model, takes the data sent by the data acquisition module 23 as input, analyzes and judges whether the aerodynamic shape of the airplane in the detection picture meets the use standard, outputs and marks the position and type of the problem part and sends the output result to the control structure, wherein the problem types are distinguished by colors.

[0008] The control structure includes a buzzer 4, a warning light 5, a display screen 6, a charging port 11, a power-on button 14, a recording button 15, a first HDMI interface 16, a second HTTP interface 17, a charging module 18, a power module 19, a single-chip microcomputer 20 and a controller 21; the buzzer 4, the warning light 5 and the display screen 6 are arranged on the upper cover body 2, the display screen 6 is used to display video data collected by a data collection module 23 and output results of an edge computing module 22, including marked problem positions and problem types, at the same time, if no problem position is detected, the display screen 6 displays a green outer frame, if a problem position is detected, the display screen 6 displays a red outer frame, the buzzer 4 and the warning light 5 are used to emit sound and light to warn when unqualified results appear; the charging port 11, the power-on button 14, the recording button 15, the first HDMI interface 16 and the second HTTP interface 17 are arranged outside the main body 1, the charging module 18, the power module 19, the single-chip microcomputer 20 and the controller 21 are arranged inside the main body 1; the charging port 11 is connected with the charging module 18, the charging module 18 charges the power module 19, and the power module 19 supplies power to the entire handheld identifier; the first HDMI interface 16 is a high-definition transmission component, used to externally connect a display device, the second HTTP interface 17 is used to connect a computer for programming interaction, achieving multiple connection input purposes and meeting multiple use requirements of the device; the power-on button 14 is used to control the device to turn on or off, and the recording button 15 is used to save video image data in the form of pictures; the single-chip microcomputer 20 processes the judgment results of the edge computing module 22 and gives appropriate operation instructions to the controller 21, and the controller 21 controls the buzzer 4, the warning light 5 and the display screen 6 to work according to the operation instructions.

[0009] A method for aircraft aerodynamic shape detection, based on the handheld identifier, includes the following steps:

[0010] Step one: appearance inspection of the handheld identifier, including complete device labels and intact appearance.

[0011] Step two: inserting the head-mounted camera connector 13 into the U-shaped port 12 to realize distance expansion of the head-mounted camera.

[0012] Step three: pressing the power-on button 14 to turn on the handheld identifier, checking the on-off state of the detection device circuit to ensure that the detection device functions well.

[0013] Step four: fix the head-mounted camera on the head, guide the head-mounted camera to move and collect aerodynamic shape video image data in real time, transmit the data to the data acquisition module 23, the data acquisition module 23 transmits the video image to the display screen 6 in real time, at the same time, the data is transmitted to the edge computing module 22, the deep learning model carried in the edge computing module 22 takes the data sent by the data acquisition module 23 as input, analyzes and judges whether the aerodynamic shape of the airplane in the detection picture meets the use standard, outputs and marks the problem part position and type, and sends the output result to the single-chip microcomputer 20.

[0014] Step five: the single-chip microcomputer 20 receives the output result of the edge computing module 22, when the output result includes a problem part, the display screen 6 marks the problem part with a frame, and distinguishes the problem type by color, at the same time, the single-chip microcomputer 20 issues a control instruction to the controller 21, the controller 21 controls the display screen 6 to display a red frame according to the control instruction, at the same time, controls the buzzer 4 and the warning light 5 to work, at this time, press the recording button 15 to record the detection result for subsequent viewing, at the same time, the detection personnel mark the problem part of the airplane body.

[0015] Step six: after the airplane aerodynamic shape detection is completed, press the power-on button 14, and after power-off, put the handheld recognizer back to the original position, complete the detection.

[0016] The beneficial effects of the present application are as follows:

[0017] The present application can detect without missing, through the cooperation of multiple modules, the detection process is more compact, and the intelligent detection method can reduce the error caused by manual detection, ensure the accuracy of the detection result, and better meet the use requirements of industrial production and manufacturing. The present application has the advantages of simple structure, low cost, small size, convenient carrying, simple operation, clever design, comprehensive detection of the surface of the airplane aerodynamic shape, clear data information display, more accurate detection process, intelligent display can improve the accuracy of the detection effect. The present application improves the efficiency of shape detection, reduces the work difficulty of manual detection of detection personnel, ensures the tediousness and accuracy of manual detection of detection personnel, improves the efficiency of airplane aerodynamic shape detection, and the digital inspection effect is more scientific and reliable, which is convenient for displaying and publishing the detection result, and improves the credibility of the detection effect. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is an isometric view of a handheld recognizer for airplane aerodynamic shape detection;

[0019] Figure 2 is a front view of a handheld recognizer for airplane aerodynamic shape detection;

[0020] Figure 3is a right view of a handheld identifier for aircraft aerodynamic shape inspection;

[0021] Figure 4 is a left view of a handheld identifier for aircraft aerodynamic shape inspection.

[0022] Wherein, 1-main body, 2-upper cover body, 3-connecting screw, 43-buzzer, 5-warning light, 6-display screen, 7-connection body, 8-double head stud, 9-handle, 10-rubber sheath, 11-charging port, 12-U port, 13-head-mounted camera connector, 14-power-on button, 15-recording button, 16-first HDMI interface, 17-second HTTP interface, 18-charging module, 19-power module, 20-single-chip microcomputer, 21-controller, 22-edge computing module, 23-data acquisition module. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in the present specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0024] Through analysis of the existing aircraft aerodynamic appearance detection method, there is a problem of low detection accuracy of manual detection. When the hands of the inspection personnel are injured, the detection personnel will avoid touching the wound when touching, which will affect the force when touching the surface of the aircraft, and the hand feeling will change due to the difference in touching force, thereby affecting the feeling of the protrusions or depressions on the surface of the aircraft, resulting in inaccurate detection effect. In addition, detection personnel with different working experience have different detection results. Manual touching and visual observation will cause fatigue of workers after long-time work, which will affect the detection results.

[0025] In order to solve the above problems, a simple method is explored, which has accurate operation, simpler and more efficient use, and more comprehensive detection range. The present embodiment aims to provide a kind of fast detection aircraft aerodynamic shape surface equipment and method for operating personnel.

[0026] A handheld identifier for aircraft aerodynamic shape inspection, comprising a mechanical structure, a control structure and a data acquisition and processing structure, is used in cooperation with a head-mounted camera. The head-mounted camera is fixed on the head of the inspection personnel and can rotate with the head, and can synchronously collect video pictures in the visual range. Figures 1 to 4 As shown.

[0027] The mechanical mechanism comprises a main body 1, an upper cover body 2, a connecting screw 3, a connecting body 7, a double-headed stud 8, a handle 9 and a rubber sheath 10; the main body 1 is manufactured by 3D printing and is a box body with one side open, the upper cover body 2 is fixedly installed on the open side through the connecting screw 3 to form a closed box body; the connecting body 7 is fixed to the bottom end of the main body 1 and is fixedly connected with the handle 9 through the double-headed stud 8, the handle 9 is used for holding the whole hand-held identifier to realize multi-directional movement detection of the aerodynamic shape of the airplane, the double-headed stud 8 is threadedly connected with the connecting body 7 and the handle 9, meanwhile, the double-headed stud 8 can also be used for adjusting the spacing between the connecting body 7 and the handle 9 to adjust the length of use, thereby facilitating the detection of different height ranges; the rubber sheath 10 is made of rubber and is installed on the outer wall of the handle 9 in a hot melting manner to enhance the comfort.

[0028] The data acquisition and processing structure comprises a U port 12, a head-mounted camera connector 13, an edge computing module 22 and a data acquisition module 23; the U port 12 is arranged on the main body 1, the head-mounted camera connector 13 is inserted into the U port 12 to realize data connection between the head-mounted camera and the data acquisition module 23, and the data collected by the head-mounted camera is transmitted to the data acquisition module 23; the edge computing module 22 and the data acquisition module 23 are both installed inside the main body 1, the data acquisition module 23 sends the collected data to the display screen 6 in the control structure for display and to the edge computing module 22, the edge computing module 22 is provided with a trained deep learning model, takes the data sent by the data acquisition module 23 as input, analyzes and judges whether the aerodynamic shape of the airplane in the detection picture conforms to the use standard, outputs and marks the position and type of the problem part and sends the output result to the control structure, wherein the problem types are distinguished by colors.

[0029] The control structure includes a buzzer 4, a warning light 5, a display screen 6, a charging port 11, a power-on button 14, a recording button 15, a first HDMI interface 16, a second HTTP interface 17, a charging module 18, a power module 19, a single-chip microcomputer 20 and a controller 21; the buzzer 4, the warning light 5 and the display screen 6 are arranged on the upper cover body 2, the display screen 6 is used to display video data collected by a data collection module 23 and output results of an edge computing module 22, including marked problem positions and problem types, at the same time, if no problem position is detected, the display screen 6 displays a green outer frame, if a problem position is detected, the display screen 6 displays a red outer frame, the buzzer 4 and the warning light 5 are used to emit sound and light to warn when unqualified results appear; the charging port 11, the power-on button 14, the recording button 15, the first HDMI interface 16 and the second HTTP interface 17 are arranged outside the main body 1, the charging module 18, the power module 19, the single-chip microcomputer 20 and the controller 21 are arranged inside the main body 1; the charging port 11 is connected with the charging module 18, the charging module 18 charges the power module 19, and the power module 19 supplies power to the entire handheld identifier; the first HDMI interface 16 is a high-definition transmission component, used to externally connect a display device, the second HTTP interface 17 is used to connect a computer for programming interaction, achieving multiple connection input purposes and meeting multiple use requirements of the device; the power-on button 14 is used to control the device to turn on or off, and the recording button 15 is used to save video image data in the form of pictures; the single-chip microcomputer 20 processes the judgment results of the edge computing module 22 and gives appropriate operation instructions to the controller 21, and the controller 21 controls the buzzer 4, the warning light 5 and the display screen 6 to work according to the operation instructions.

[0030] A method for aircraft aerodynamic shape detection, based on the handheld identifier, includes the following steps:

[0031] Step one: appearance inspection of the handheld identifier, including complete device labels and intact appearance.

[0032] Step two: inserting the head-mounted camera connector 13 into the U-shaped port 12 to realize distance expansion of the head-mounted camera.

[0033] Step three: pressing the power-on button 14 to turn on the handheld identifier, checking the on-off state of the detection device circuit to ensure that the detection device functions well.

[0034] Step four: fix the head-mounted camera on the head, guide the head-mounted camera to move and collect aerodynamic shape video image data in real time, transmit the data to the data acquisition module 23, the data acquisition module 23 transmits the video image to the display screen 6 in real time, at the same time, the data is transmitted to the edge computing module 22, the deep learning model carried in the edge computing module 22 takes the data sent by the data acquisition module 23 as input, analyzes and judges whether the aerodynamic shape of the aircraft in the detection picture meets the use standard, outputs and marks the problem part position and type, and sends the output result to the single-chip microcomputer 20.

[0035] Step five: the single-chip microcomputer 20 receives the output result of the edge computing module 22, when the output result includes the problem part, the display screen 6 marks the problem part with a frame and distinguishes the problem type by color, at the same time, the single-chip microcomputer 20 issues a control instruction to the controller 21, the controller 21 controls the display screen 6 to display a red frame according to the control instruction, at the same time, controls the buzzer 4 and the warning light 5 to work, at this time, press the record button 15 to record the detection result for subsequent viewing, at the same time, the detection personnel mark the problem part of the aircraft body.

[0036] Step six: after the aerodynamic shape of the aircraft is detected, press the power-on button 14, and after power-off, put the handheld recognizer back to the original position, complete the detection.

[0037] The above only describes some embodiments of the present application, and does not limit the implementation and protection scope of the present application. The improvements and modifications made by the person skilled in the art without departing from the scope of the present application should be within the protection scope of the present application.

Claims

1. A hand-held identifier for aircraft aerodynamic configuration certification, characterized in that, In cooperation with a head-mounted camera fixed on the head of the inspector, the video picture in the visual range is synchronously collected; The handheld recognizer comprises a mechanical structure, a control structure and a data acquisition and processing structure, the mechanical structure is used for loading the control structure and the data acquisition and processing structure, the data acquisition and processing structure is connected with the head-mounted camera and is used for collecting the image collected by the head-mounted camera, intelligently detecting and processing the image, and giving a judgment result, the control structure issues a control instruction according to the judgment result to complete the realization of the control function.

2. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 1, characterized in that, The mechanical mechanism comprises a main body (1), an upper cover body (2), a connecting body (7), a double-end stud (8) and a handle (9); the main body (1) is a box body with one side open, the upper cover body (2) is fixedly installed at the open side to form a closed box body; the connecting body (7) is fixed to the bottom end of the main body (1) and is fixedly connected with the handle (9) through the double-end stud (8), and the handle (9) is used for holding the entire handheld recognizer to realize multi-directional movement detection of the aerodynamic shape of an airplane. The data acquisition and processing structure comprises a U port (12), a head-mounted camera connector (13), an edge computing module (22) and a data acquisition module (23); the U port (12) is arranged on the main body (1), the head-mounted camera connector (13) is inserted into the U port (12) to realize data connection between the head-mounted camera and the data acquisition module (23), and the data collected by the head-mounted camera is transmitted to the data acquisition module (23); the edge computing module (22) and the data acquisition module (23) are both arranged inside the main body (1), the data acquisition module (23) sends the collected data to a display screen (6) in the control structure for display and to the edge computing module (22) at the same time, the edge computing module (22) is provided with a trained deep learning model, takes the data sent by the data acquisition module (23) as input, outputs and marks the position and type of the problem part, and sends the output result to the control structure; The control structure includes a display screen (6), a charging port (11), a start button (14), a recording button (15), a charging module (18), a power module (19), a single-chip microcomputer (20) and a controller (21); the display screen (6) is arranged on the upper cover body (2) and is used for displaying video data collected by the data acquisition module (23) and output results of the edge computing module (22); meanwhile, if no problem part is detected, the display screen (6) displays a green frame, and if a problem part is detected, the display screen (6) displays a red frame; the charging port (11), the start button (14) and the recording button (15) are arranged outside the main body (1), and the charging module (18), the power module (19), the single-chip microcomputer (20) and the controller (21) are arranged inside the main body (1); the charging port (11) is connected with the charging module (18), the charging module (18) is used for charging the power module (19), and the power module (19) is used for supplying power to the entire handheld identifier; the start button (14) is used for controlling the device to start or stop, and the recording button (15) is used for saving video image data in the form of a picture; the single-chip microcomputer (20) processes a judgment result of the edge computing module (22) and gives appropriate operation instructions to the controller (21), and the controller (21) controls the display screen (6) to work according to the operation instructions.

3. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The main body (1) is manufactured by 3D printing.

4. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The double-end stud (8) can also be used for adjusting the distance between the connecting body (7) and the handle (9), so as to adjust the use length.

5. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The handle (9) is provided with a rubber sheath (10) on the outer wall.

6. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The problem type output by the edge computing module (22) is distinguished by color.

7. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The control structure further includes a buzzer (4) and a warning light (5) for giving sound and light warning when an unqualified result appears, and the buzzer (4) and the warning light (5) are controlled by the controller (21).

8. A hand-held identifier for aircraft aerodynamic configuration certification according to claim 2, characterized in that, The control structure further includes a first HDMI interface (16) and a second HTTP interface (17) arranged outside the main body (1), the first HDMI interface (16) is used for connecting an external display device, and the second HTTP interface (17) is used for connecting a computer for programming interaction.

9. A method for aircraft aerodynamic shape certification, implemented on the basis of the hand-held identifier according to any one of claims 1-8, characterized in that, The method comprises the following steps: Step one: appearance inspection of the handheld identifier, including complete device label and intact appearance; Step two: inserting the head-mounted camera connector (13) into the U-shaped port (12) to realize distance expansion of the head-mounted camera; Step three: pressing the start button (14) to start the handheld identifier, checking the on-off state of the detection device circuit and ensuring that the detection device functions well. Step four: Fix the head-mounted camera on the head, guide the head-mounted camera to move and collect aerodynamic shape video image data in real time, transmit the data to the data acquisition module (23), the data acquisition module (23) transmits the video image to the display screen (6) in real time, at the same time, the data is transmitted to the edge computing module (22), the deep learning model carried in the edge computing module (22) takes the data sent by the data acquisition module (23) as input, analyzes and judges whether the aerodynamic shape of the aircraft in the detection picture meets the use standard, outputs and marks the problem part position and type, and sends the output result to the single-chip microcomputer (20); Step five: The single-chip microcomputer (20) receives the output result of the edge computing module (22), when the output result includes the problem part, the display screen (6) marks the problem part with a frame and distinguishes the problem type by color, at the same time, the single-chip microcomputer (20) issues a control instruction to the controller (21), and the controller (21) controls the display screen (6) to display a red frame according to the control instruction, at this time, the detection result is recorded by pressing the record button (15) for subsequent viewing; Step six: After the aircraft aerodynamic shape detection is completed, press the power-on button (14), and after power-off, put the handheld recognizer back to the original position to complete the detection.

10. The method for aircraft aerodynamic configuration certification of claim 2, wherein, In step five, when the output result includes the problem part, the detection personnel marks the problem part on the aircraft body according to the image on the display screen (6).

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