Aeronautical instrument rapid calibration test platform based on machine vision

Abstract

The invention discloses an aeronautical instrument rapid calibration test platform based on machine vision. The aeronautical instrument rapid calibration test platform comprises an image acquisition module, a data processing module, a calibration execution module and a control unit. The image acquisition module acquires aviation instrument display information through a high-definition camera, the data processing module carries out preprocessing and parameter analysis on images, the calibration execution module completes automatic calibration through a mechanical arm, and the control unit dynamically adjusts operation logic. In addition, an environment monitoring module, a safety protection module and a remote monitoring module are arranged, so that the test stability and reliability are improved. The calibration test efficiency and precision can be remarkably improved, the complex function requirements are met, and the method is suitable for aeronautical instrument calibration in different working modes.

Description

Technical Field

[0001] The present invention relates to the technical field of aviation instrument testing and calibration, and in particular to an aviation instrument rapid calibration test platform based on machine vision. Background Art

[0002] Aircraft instruments are essential devices used to monitor and control critical parameters during aircraft operation and are widely used in areas such as navigation, control, and safety. With the advancement of aviation technology, the functionality of aircraft instruments has become increasingly complex, placing increasing demands on testing and calibration. Current aircraft instrument calibration testing relies heavily on manual operation or semi-automated equipment, resulting in low efficiency and susceptible to human error. Furthermore, traditional methods often require long testing cycles when handling high-precision requirements, making them difficult to adapt to the dual demands of speed and accuracy in the modern aviation industry. Summary of the Invention

[0003] The purpose of the invention is to provide an aviation instrument rapid calibration test platform based on machine vision, which solves the problems mentioned in the background technology.

[0004] The present invention is implemented as follows: a machine vision-based rapid calibration test platform for aviation instruments, comprising: an image acquisition module, a data processing module, a calibration execution module, and a control unit; the control unit having an input end connected to the aviation instrument and an output end connected to the calibration execution module; the control unit being configured to receive a working status interface of the aviation instrument, for receiving visual signals, tactile signals, alarm signals, and auditory signals output by the aviation instrument, and controlling the operating logic of the calibration execution module, wherein configuration and control of calibration are two parallel operations; the image acquisition module having an input end connected to the display interface of the aviation instrument and an output end connected to the data processing module; and the data processing module having an input end connected to the image acquisition module and an output end connected to the control unit.

[0005] In an exemplary embodiment of the present invention, the image acquisition module includes: a high-definition camera and a light source adjustment component; the high-definition camera, the lens of which is set toward the display interface of the aviation instrument, is used to capture key parameter information on the display interface; the light source adjustment component is installed around the high-definition camera, and is composed of a number of LED lamp beads arranged in a ring, and the brightness of the light source is changed by adjusting the current intensity.

[0006] In an exemplary embodiment of the present invention, the calibration execution module includes: a robotic arm and a positioning sensor; the robotic arm, the base of which is fixed on the base of the test platform, and a replaceable calibration tool head is installed at the end; the positioning sensor is installed at the joint of the robotic arm, for detecting the position and posture information of the robotic arm in real time, and transmitting the position signal to the control unit.

[0007] In an exemplary embodiment of the present invention, the data processing module includes: an image preprocessing unit and a parameter analysis unit; the image preprocessing unit, the input end of which is connected to the high-definition camera, and the output end of which is connected to the parameter analysis unit, is used to denoise, enhance and segment the collected image; the parameter analysis unit, the input end of which is connected to the image preprocessing unit, and the output end of which is connected to the control unit, is used to extract the key parameter values ​​in the image and compare them with preset standard values.

[0008] In an exemplary embodiment of the present invention, the rapid calibration test platform for aviation instruments based on machine vision also includes: an environmental monitoring module, a switching control device and a display terminal; the switching control device, the input end of which is respectively connected to the image acquisition module and the data processing module, the output end of the switching control device is connected to the display terminal, and the control end of the switching control device is connected to the environmental monitoring module.

[0009] In an exemplary embodiment of the present invention, the environmental monitoring module includes: a temperature and humidity sensor and a vibration detector; the temperature and humidity sensor and the vibration detector are both connected to the control end of the switching control device, and are used to monitor the temperature, humidity and vibration conditions of the test environment respectively, and transmit the monitoring data to the switching control device.

[0010] In an exemplary embodiment of the present invention, the rapid calibration test platform for aviation instruments based on machine vision also includes: a safety protection module and a wireless communication module; the safety protection module, the control end is connected to the environmental monitoring module, the input end is respectively connected to the image acquisition module and the data processing module, and the output end is connected to the wireless communication module.

[0011] In an exemplary embodiment of the present invention, the machine vision-based rapid calibration test platform for aviation instruments further includes: an alarm device; the alarm device is connected to the control unit, and when it is detected that the parameter deviation of the aviation instrument exceeds a preset threshold, the alarm device emits an audible and visual signal.

[0012] In an exemplary embodiment of the present invention, the machine vision-based aviation instrument rapid calibration test platform further includes: a remote monitoring module; the remote monitoring module is connected to the control unit and is used to upload data during the test process to a cloud server in real time.

[0013] The technical effects of the machine vision-based rapid calibration and testing platform for aviation instruments provided by an embodiment of the present invention are as follows: In this application, information on the display interface of the aviation instrument is acquired through the image acquisition module, and the image is processed and analyzed in combination with the data processing module to generate the numerical values ​​of key parameters and compare them with the standard values. At the same time, the automatic calibration operation of the aviation instrument is completed through the calibration execution module. The control unit dynamically adjusts the operating logic of the calibration execution module according to the working status interface of the aviation instrument, thereby meeting the requirements for efficient calibration of aviation instruments under different working modes. In addition, the introduction of the environmental monitoring module and the safety protection module further enhances the stability and reliability of the testing process, significantly improving the efficiency and accuracy of the calibration test. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of the overall structure of a machine vision-based aviation instrument rapid calibration test platform, showing the connection between the image acquisition module, data processing module, calibration execution module, and control unit. Figure 2 This is a structural block diagram of the calibration execution module of a machine vision-based aviation instrument rapid calibration test platform; Figure 3 This is a structural block diagram of the image acquisition module of a rapid calibration test platform for aviation instruments based on machine vision; Figure 4 This is a block diagram of the security protection module, wireless communication module, and remote monitoring system of a machine vision-based aviation instrument rapid calibration test platform. Figure 5 This is a structural block diagram of the switching control device and environmental monitoring module of a machine vision-based aviation instrument rapid calibration test platform.

[0015] The accompanying drawings are marked as follows: 1. Image acquisition module; 2. Data processing module; 3. Calibration execution module; 4. Control unit; 5. High-definition camera; 6. Light source adjustment component; 7. Robotic arm; 8. Positioning sensor; 9. Temperature and humidity sensor; 10. Vibration detector; 11. Switching control device; 12. Safety protection module; 13. Wireless communication module. DETAILED DESCRIPTION

[0016] The present invention provides a rapid calibration test platform for aviation instruments based on machine vision, the overall structure of which is as follows: Figure 1As shown in Figure 1, the platform includes an image acquisition module 1, a data processing module 2, a calibration execution module 3, and a control unit 4. These modules are electrically connected to each other for information transmission and collaborative operation. The input of the image acquisition module 1 corresponds to the display interface content of the aviation instrument, and the output is connected to the data processing module 2. The input of the data processing module 2 is connected to the image acquisition module 1, and the output is connected to the control unit 4. The input of the control unit 4 is connected to the aviation instrument working status interface, and the output is connected to the calibration execution module 3. This connection ensures a complete process from image acquisition to data processing to calibration execution.

[0017] In practical applications, the specific composition of the image acquisition module 1 is as follows: Figure 3 As shown in the figure, the image acquisition module 1 includes a high-definition camera 5 and a light source adjustment component 6. The lens of the high-definition camera 5 is installed directly opposite the aviation instrument display interface, used to capture key parameter information on the display interface. The light source adjustment component 6 is composed of a number of LED lamp beads arranged in a ring and distributed around the high-definition camera 5. The light source adjustment component 6 changes the brightness of the LED lamp beads by adjusting the current intensity to adapt to the lighting conditions in different environments. This arrangement enables the high-definition camera 5 to clearly capture images of the aviation instrument display interface under various lighting conditions.

[0018] The structure of the calibration execution module 3 is also as follows Figure 2 As shown, the robot arm 7 includes a robotic arm 7 and a positioning sensor 8. The base of the robotic arm 7 is fixed to the base of the test platform, and a replaceable calibration tool head is installed at the end. The positioning sensor 8 is installed at the joint of the robotic arm 7 and is used to detect the position and posture information of the robotic arm 7 in real time and transmit these position signals to the control unit 4. The robotic arm 7 completes the aircraft instrument calibration operation by receiving operating instructions from the control unit 4. The function of the positioning sensor 8 is to provide precise motion feedback for the robotic arm 7 to ensure the accuracy of the calibration action.

[0019] The internal structure of the data processing module 2 is divided into two parts: an image preprocessing unit and a parameter analysis unit. The input end of the image preprocessing unit is connected to the high-definition camera 5, and the output end is connected to the parameter analysis unit. The image preprocessing unit is responsible for denoising, enhancing, and segmenting the image captured by the high-definition camera 5 to extract the key parameter area. The input end of the parameter analysis unit is connected to the image preprocessing unit, and the output end is connected to the control unit 4. The parameter analysis unit identifies the key parameter values ​​in the image and compares them with the preset standard values ​​to generate deviation data and transmit it to the control unit 4. This process realizes the conversion from the original image to the key parameter values.

[0020] The environmental monitoring module includes a temperature and humidity sensor 9 and a vibration detector 10. These sensors are each connected to the control terminal of a switching control device 11 to monitor the temperature, humidity, and vibration of the test environment and transmit the monitored data to the switching control device 11. The switching control device 11 has inputs connected to the image acquisition module 1 and data processing module 2, respectively, and an output connected to a display terminal. Based on the monitoring results from the environmental monitoring module, the switching control device 11 dynamically adjusts the operating modes of the image acquisition module 1 and data processing module 2 to accommodate varying test environment requirements.

[0021] The control end of the safety protection module 12 is connected to the environmental monitoring module, the input end is connected to the image acquisition module 1 and the data processing module 2, and the output end is connected to the wireless communication module 13. When the environmental monitoring module detects an abnormality, the safety protection module 12 immediately sends an alarm signal to the wireless communication module 13. The wireless communication module 13 is responsible for transmitting the alarm signal to the remote monitoring system so that timely countermeasures can be taken. The alarm device is connected to the control unit 4. When the parameter analysis unit detects that the deviation of the aviation instrument parameters exceeds the preset threshold, the alarm device emits an audible and visual signal to alert the operator.

[0022] The remote monitoring module is connected to the control unit 4 and is used to upload test data to the cloud server in real time. The remote monitoring module transmits data via the wireless communication module 13, ensuring that test data can be accessed and stored remotely. This design not only facilitates real-time monitoring of the test process but also facilitates subsequent data analysis.

[0023] During the specific implementation process, a high-definition camera 5 first captures an image of the aircraft instrument display interface. Simultaneously, a light source adjustment component 6 adjusts the brightness based on ambient lighting conditions to ensure image quality. The captured image is transmitted to the image preprocessing unit in the data processing module 2 for denoising, enhancement, and segmentation. The parameter analysis unit then extracts key parameter values ​​and compares them with preset standard values. If a parameter deviation is found to be outside the allowable range, the control unit 4 generates a calibration instruction based on the deviation data and sends it to the calibration execution module 3. Upon receiving the calibration instruction, the robotic arm 7 adjusts its position and posture using real-time feedback from the positioning sensor 8, and uses the calibration tool head to complete the calibration of the aircraft instrument.

[0024] Throughout the test, the environmental monitoring module continuously monitors the temperature, humidity, and vibration of the test environment. When environmental conditions change, the switching control device 11 adjusts the operating mode of the image acquisition module 1 and the data processing module 2 based on the monitored data to ensure the accuracy of the test results. If the environmental monitoring module detects an abnormality, the safety protection module 12 immediately activates and sends an alarm signal via the wireless communication module 13. The alarm device also emits audible and visual signals to alert the operator when necessary.

[0025] Through the collaborative operation of the aforementioned modules, the present invention achieves rapid calibration testing of aviation instruments. Image acquisition module 1 and data processing module 2 are responsible for acquiring and analyzing key parameter information for aviation instruments. Calibration execution module 3 performs automatic calibration based on the analysis results, while the environmental monitoring module and safety protection module ensure the stability and reliability of the testing process. The remote monitoring module further enhances the real-time and traceability of test data, providing comprehensive technical support for efficient calibration of aviation instruments. To better enable those skilled in the art to fully understand and implement the present invention, the following further explains the specific implementation principles of the present invention, using a specific application scenario.

[0026] First, in the preparation stage of the aviation instrument calibration test, the aviation instrument to be tested is fixed on the test platform, and its display interface is ensured to be facing the high-definition camera 5 in the image acquisition module 1. The high-definition camera 5 is installed above the test platform by bolts or other fixing devices, and its lens is kept perpendicular to the display interface of the aviation instrument to avoid image distortion caused by angle deviation. The light source adjustment component 6 is composed of a number of LED lamp beads arranged in a ring. These lamp beads are distributed around the high-definition camera 5 and change the brightness by adjusting the current intensity to adapt to changes in ambient lighting conditions. For example, in a dark environment, the light source adjustment component 6 will increase the brightness of the LED lamp beads, thereby ensuring that the high-definition camera 5 can clearly capture the key parameter information on the aviation instrument display interface. This design enables the system to operate stably under different lighting conditions, solving the problem of image quality degradation caused by insufficient or excessive light in traditional methods.

[0027] Next, the image acquisition and preprocessing phase begins. Image data captured by the high-definition camera 5 is transmitted to the image preprocessing unit in the data processing module 2. This unit first denoises the original image, using a Gaussian filter algorithm to remove random noise. Next, histogram equalization is used to enhance image contrast and highlight key areas on the display interface. Finally, an edge detection algorithm is used to segment the image and extract key parameter areas on the aviation instrument display interface. This series of processing steps ensures the accuracy of subsequent analysis. The preprocessed image is then passed to the parameter analysis unit, which uses optical character recognition (OCR) technology to identify the values ​​of key parameters and compares them with preset standard values. If parameter deviations are found to exceed the allowable range, corresponding deviation data is generated and transmitted to the control unit 4. Based on the received deviation data, the control unit 4 generates calibration instructions and sends them to the calibration execution module 3.

[0028] During the calibration phase, robotic arm 7 receives operational instructions from control unit 4 and begins adjusting its position and posture to complete the calibration. Positioning sensors 8, mounted at the joints of robotic arm 7, detect its position and posture in real time and feed these signals back to control unit 4. For example, when robotic arm 7 needs to move to a specific location, positioning sensors 8 continuously monitor its current coordinates and compare the actual position with the target position. If any deviation is detected, control unit 4 sends correction instructions to robotic arm 7 to gradually approach the target position. A replaceable calibration tool head is mounted at the end of robotic arm 7. The appropriate tool head is selected for calibration based on the specific type of aircraft instrument. For example, for pointer instruments, the calibration tool head might be a micromotor for fine-tuning the pointer position; for digital instruments, the calibration tool head might be a signal generator for adjusting internal circuit parameters. This precise motion feedback mechanism enables robotic arm 7 to complete calibration operations with submillimeter accuracy, significantly improving calibration accuracy and efficiency.

[0029] Throughout the test process, the environmental monitoring module continuously monitors the temperature, humidity, and vibration conditions of the test environment. The temperature and humidity sensor 9 and the vibration detector 10 respectively collect environmental data and transmit these data to the switching control device 11. The switching control device 11 dynamically adjusts the working mode of the image acquisition module 1 and the data processing module 2 according to the monitoring results. For example, when the vibration detector 10 detects that the test platform is disturbed by external vibrations, the switching control device 11 will automatically reduce the exposure time of the high-definition camera 5 to reduce image blur caused by vibrations; at the same time, the image preprocessing unit in the data processing module 2 will enhance the strength of the denoising algorithm to further improve image quality. This dynamic adjustment mechanism ensures the stability of the test results and maintains a high level of measurement accuracy even in complex and changing environments.

[0030] Furthermore, the safety protection module 12 plays an important role in safeguarding the testing process. When the environmental monitoring module detects an abnormality, such as excessive temperature or humidity, the safety protection module 12 immediately activates and sends an alarm signal via the wireless communication module 13. The wireless communication module 13 transmits the alarm signal to the remote monitoring system, alerting technicians to take appropriate measures. Simultaneously, an alarm device is connected to the control unit 4. When the parameter analysis unit detects that the parameter deviation of the aviation instrument exceeds a preset threshold, the alarm device emits an audible and visual signal to alert the operator. This multi-layered safety protection mechanism effectively reduces risks during the testing process and ensures the safety of equipment and personnel.

[0031] Finally, the remote monitoring module uploads test data in real time to the cloud server via the wireless communication module 13. This not only allows technicians to view test progress in real time but also supports subsequent data analysis. For example, technicians can access historical test data through the cloud server to analyze performance trends of aviation instruments and optimize calibration strategies. Furthermore, the cloud server supports multi-user collaboration, allowing technicians in different locations to simultaneously view and discuss test data, significantly improving work efficiency.

[0032] Through the collaborative operation of the aforementioned modules, the present invention achieves rapid calibration testing of aviation instruments. Image acquisition module 1 and data processing module 2 are responsible for acquiring and analyzing key parameter information of aviation instruments. Calibration execution module 3 performs automatic calibration based on the analysis results, while the environmental monitoring module and safety protection module ensure the stability and reliability of the testing process. The remote monitoring module further improves the real-time and traceability of test data, providing comprehensive technical support for efficient calibration of aviation instruments.

[0033] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A rapid calibration test platform for aviation instruments based on machine vision, characterized by: include: An image acquisition module (1), a data processing module (2), a calibration execution module (3) and a control unit (4); the control unit (4) has an input end for connecting to an aviation instrument, and an output end connected to the calibration execution module (3); the control unit (4) is configured to receive a working status interface of the aviation instrument and control the operation logic of the calibration execution module (3); the image acquisition module (1) has an input end for connecting to a display interface of the aviation instrument, and an output end connected to the data processing module (2); the data processing module (2) has an input end connected to the image acquisition module (1), and an output end connected to the control unit (4).

2. The machine vision-based aviation instrument rapid calibration test platform according to claim 1, characterized in that: The image acquisition module (1) comprises: a high-definition camera (5) and a light source adjustment component (6); the high-definition camera (5) is arranged with its lens facing the display interface of the aviation instrument, and is used to capture key parameter information on the display interface; the light source adjustment component (6) is installed around the high-definition camera (5), and is composed of a plurality of LED lamp beads arranged in a ring, and changes in light source brightness are achieved by adjusting current intensity.

3. The machine vision-based rapid calibration test platform for aviation instruments according to claim 1, characterized in that: The calibration execution module (3) comprises: a robotic arm (7) and a positioning sensor (8); the robotic arm (7) has a base fixed on a base of a test platform and a replaceable calibration tool head installed at the end; the positioning sensor (8) is installed at a joint of the robotic arm (7) and is used to detect the position and posture information of the robotic arm (7) in real time and transmit the position signal to the control unit (4).

4. The machine vision-based aviation instrument rapid calibration test platform according to claim 1, characterized in that: The data processing module (2) comprises: an image preprocessing unit and a parameter analysis unit; the image preprocessing unit, having an input end connected to the high-definition camera (5) and an output end connected to the parameter analysis unit, is used to perform denoising, enhancement and segmentation processing on the collected image; the parameter analysis unit, having an input end connected to the image preprocessing unit and an output end connected to the control unit (4), is used to extract key parameter values ​​in the image and compare them with preset standard values.

5. The machine vision-based rapid calibration test platform for aviation instruments according to claim 1, characterized in that: It also includes: an environment monitoring module, a switching control device (11) and a display terminal; the switching control device (11) has an input end connected to the image acquisition module (1) and the data processing module (2) respectively, an output end connected to the display terminal, and a control end connected to the environment monitoring module.

6. The machine vision-based aviation instrument rapid calibration test platform according to claim 5, characterized in that: The environmental monitoring module comprises: a temperature and humidity sensor (9) and a vibration detector (10); the temperature and humidity sensor (9) and the vibration detector (10) are both connected to the control end of the switching control device (11), and are used to monitor the temperature, humidity and vibration of the test environment, respectively, and transmit the monitoring data to the switching control device (11).

7. The machine vision-based rapid calibration test platform for aviation instruments according to claim 1, characterized in that: Also includes: An alarm device is connected to the control unit (4), and when it is detected that the parameter deviation of the aviation instrument exceeds a preset threshold, the alarm device emits an audible and visual signal.

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