A machine vision-based rapid calibration test platform for aviation instruments

Abstract

The application discloses a kind of based on machine vision's aviation instrument fast calibration test platform, it includes image acquisition module, data processing module, calibration execution module and control unit.Image acquisition module obtains aviation instrument display information by high-definition camera, data processing module is preprocessed and parameter analysis to image, calibration execution module utilizes mechanical arm to complete automatic calibration, control unit dynamically adjusts operation logic.In addition, there are also environmental monitoring module, safety protection module and remote monitoring module, improve test stability and reliability.The present application can significantly improve calibration test efficiency and precision, meet complex function demand, adapt to different working mode under aviation instrument calibration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aviation instrument testing and calibration, and particularly relates to a rapid calibration testing platform for aviation instruments based on machine vision. BACKGROUND

[0002] Aviation instruments are important devices for monitoring and controlling key parameters during the operation of aircraft, and are widely used in the fields of navigation, control and safety assurance of aircraft. With the development of aviation technology, the functions of aviation instruments are becoming increasingly complex, and the requirements for testing and calibration are gradually increasing. Current aviation instrument calibration testing relies on manual operation or semi-automatic equipment, which is low in efficiency and easily affected by human factors. In addition, traditional methods often require a long testing period when dealing with high precision requirements, making it difficult to meet the dual demands of modern aviation industry for rapidity and accuracy. SUMMARY

[0003] The purpose of the present application is to provide a rapid calibration testing platform for aviation instruments based on machine vision, which solves the problems mentioned in the background.

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

[0005] In an exemplary embodiment of the present application, the image acquisition module comprises: a high-definition camera and a light source adjustment assembly; the high-definition camera is arranged with the lens facing the display interface of the aviation instrument, for capturing key parameter information on the display interface; the light source adjustment assembly is installed around the high-definition camera and consists of a number of annularly arranged LED lamp beads, and the change of light source brightness is achieved by adjusting the current intensity.

[0006] In an exemplary embodiment of the present application, the calibration execution module comprises: a mechanical arm and a positioning sensor; the mechanical arm has a base fixed to the base of the testing platform, and a replaceable calibration tool head is installed at the end; the positioning sensor is installed at the joint of the mechanical arm, for real-time detection of the position and attitude information of the mechanical arm, and transmission of the position signal to the control unit.

[0007] In an example embodiment of the present application, the data processing module comprises: an image preprocessing unit and a parameter analysis unit; the image preprocessing unit is connected with the high-definition camera at the input end and connected with the parameter analysis unit at the output end, and is used for denoising, enhancing and segmenting the collected image; the parameter analysis unit is connected with the image preprocessing unit at the input end and connected with the control unit at the output end, and is used for extracting the key parameter value in the image and comparing with the preset standard value.

[0008] In an example embodiment of the present application, the machine vision-based aviation instrument rapid calibration test platform further comprises: an environment monitoring module, a switching control device and a display terminal; the switching control device is connected with the image acquisition module and the data processing module at the input end, the output end of the switching control device is connected with the display terminal, and the control end of the switching control device is connected with the environment monitoring module.

[0009] In an example embodiment of the present application, the environment monitoring module comprises: a temperature and humidity sensor and a vibration detector; the temperature and humidity sensor and the vibration detector are connected with the control end of the switching control device, respectively used for monitoring the temperature, humidity and vibration of the test environment, and transmitting the monitoring data to the switching control device.

[0010] In an example embodiment of the present application, the machine vision-based aviation instrument rapid calibration test platform further comprises: a safety protection module and a wireless communication module; the safety protection module is connected with the environment monitoring module at the control end, connected with the image acquisition module and the data processing module at the input end, and connected with the wireless communication module at the output end.

[0011] In an example embodiment of the present application, the machine vision-based aviation instrument rapid calibration test platform further comprises: an alarm device; the alarm device is connected with the control unit, and when it is detected that the parameter deviation of the aviation instrument exceeds the preset threshold value, the alarm device sends an audible and visual signal.

[0012] In an example embodiment of the present application, the machine vision-based aviation instrument rapid calibration test platform further comprises: a remote monitoring module; the remote monitoring module is connected with the control unit, and is used for uploading the data in the test process to the cloud server in real time.

[0013] The technical effect of the aviation instrument rapid calibration test platform based on machine vision provided by the embodiment of the application is as follows: in the application, the information of an aviation instrument display interface is acquired through an image acquisition module, the image is processed and analyzed by combining a data processing module, the numerical value of a key parameter is generated and compared with a standard value, and the automatic calibration operation of the aviation instrument is completed through a calibration execution module. The operation logic of the calibration execution module is dynamically adjusted by a control unit according to the working state interface of the aviation instrument, so that the efficient calibration demand of the aviation instrument under different working modes is met. In addition, the introduction of an environment monitoring module and a safety protection module further improves the stability and reliability of the test process, and significantly improves the efficiency and accuracy of the calibration test. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall structure of an aviation instrument rapid calibration test platform based on machine vision, which shows the connection relationship among the image acquisition module, the data processing module, the calibration execution module and the control unit.

[0015] Figure 2 It is a structure block diagram of the calibration execution module of an aviation instrument rapid calibration test platform based on machine vision.

[0016] Figure 3 It is a structure block diagram of the image acquisition module of an aviation instrument rapid calibration test platform based on machine vision.

[0017] Figure 4 It is a structure block diagram of the safety protection module, the wireless communication module and the remote monitoring system of an aviation instrument rapid calibration test platform based on machine vision.

[0018] Figure 5 It is a structure block diagram of the switching control device and the environment monitoring module of an aviation instrument rapid calibration test platform based on machine vision.

[0019] The reference signs are as follows: 1, image acquisition module; 2, data processing module; 3, calibration execution module; 4, control unit; 5, high-definition camera; 6, light source adjusting assembly; 7, mechanical 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

[0020] The application provides an aviation instrument rapid calibration test platform based on machine vision, and the overall structure thereof is as follows: Figure 1The platform includes an image acquisition module 1, a data processing module 2, a calibration execution module 3 and a control unit 4. Information transmission and cooperation between these modules are achieved through electrical connection. The input end of the image acquisition module 1 corresponds to the display interface content of the aviation instrument, and the output end is connected with the data processing module 2. The input end of the data processing module 2 is connected with the image acquisition module 1, and the output end is connected with the control unit 4. The input end of the control unit 4 is connected with the aviation instrument working state interface, and the output end is connected with the calibration execution module 3. Such a connection relationship ensures the complete process from image acquisition to data processing and then to calibration execution.

[0021] In actual application, the specific composition of the image acquisition module 1 is as shown in Figure 3 The image acquisition module 1 includes a high-definition camera 5 and a light source adjusting assembly 6. The lens of the high-definition camera 5 is installed opposite to the display interface of the aviation instrument, for capturing the key parameter information on the display interface. The light source adjusting assembly 6 is composed of a plurality of annularly arranged LED lamp beads, which are distributed around the high-definition camera 5. The light source adjusting assembly 6 changes the brightness of the LED lamp beads by adjusting the current intensity, so as to adapt to the lighting conditions in different environments. This arrangement enables the high-definition camera 5 to clearly obtain the image of the display interface of the aviation instrument under various lighting conditions.

[0022] The structure of the calibration execution module 3 is also as shown in Figure 2 The base of the mechanical arm 7 is fixed on the base of the test platform, and the end is installed with a replaceable calibration tool head. The positioning sensor 8 is installed at the joint of the mechanical arm 7, for detecting the position and attitude information of the mechanical arm 7 in real time, and transmitting these position signals to the control unit 4. The mechanical arm 7 completes the calibration operation of the aviation instrument by receiving the operation instructions from the control unit 4. The positioning sensor 8 provides accurate motion feedback for the mechanical arm 7, to ensure the accuracy of the calibration action.

[0023] The internal structure of the data processing module 2 is divided into an image preprocessing unit and a parameter analysis unit. The input end of the image preprocessing unit is connected with the high-definition camera 5, and the output end is connected with the parameter analysis unit. The image preprocessing unit is responsible for denoising, enhancing and segmenting the image collected by the high-definition camera 5, to extract the key parameter region. The input end of the parameter analysis unit is connected with the image preprocessing unit, and the output end is connected with the control unit 4. The parameter analysis unit identifies the key parameter values in the image and compares them with the preset standard values, generates deviation data and transmits them to the control unit 4. This process realizes the conversion from the original image to the key parameter values.

[0024] The environmental monitoring module includes a temperature and humidity sensor 9 and a vibration detector 10. The temperature and humidity sensor 9 and the vibration detector 10 are respectively connected to the control end of the switching control device 11, for monitoring the temperature, humidity and vibration conditions of the test environment, and transmitting the monitoring data to the switching control device 11. The input end of the switching control device 11 is connected to the image acquisition module 1 and the data processing module 2, and the output end is connected to the display terminal. 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 of the environmental monitoring module, to adapt to different test environment requirements.

[0025] 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 abnormal conditions, the safety protection module 12 will immediately send 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 as to take timely measures. The alarm device is connected to the control unit 4, and when the parameter analysis unit detects that the aviation instrument parameter deviation exceeds the preset threshold value, the alarm device sends an audible and visual signal to prompt the operator.

[0026] The remote monitoring module is connected to the control unit 4, for uploading the data in the test process to the cloud server in real time. The remote monitoring module realizes the data transmission function through the wireless communication module 13, ensuring that the test data can be accessed and stored remotely. This design not only facilitates real-time monitoring of the test process, but also provides convenience for subsequent data analysis.

[0027] In the specific implementation process, first, the high-definition camera 5 captures the image of the aviation instrument display interface, and the light source adjustment assembly 6 adjusts the brightness according to the environmental light conditions to ensure the image quality. The captured image is transmitted to the image preprocessing unit in the data processing module 2 for denoising, enhancement and segmentation processing, and then the key parameter values are extracted by the parameter analysis unit and compared with the preset standard values. If the parameter deviation is found to exceed the allowed range, the control unit 4 will generate calibration instructions according to the deviation data and send them to the calibration execution module 3. After receiving the calibration instructions, the mechanical arm 7 adjusts its position and posture through the real-time feedback of the positioning sensor 8, and uses the calibration tool head to complete the calibration operation of the aviation instrument.

[0028] During the entire test process, the environmental monitoring module continuously monitors the temperature, humidity and vibration of the test environment. When the environmental conditions change, the switching control device 11 adjusts the image according to the monitoring data; the working mode of the acquisition module 1 and the data processing module 2, to ensure the accuracy of the test results. If the environmental monitoring module detects abnormal conditions, the safety protection module 12 will start immediately and send an alarm signal through the wireless communication module 13. The alarm device will also issue an audible and visual signal to remind the operator as necessary.

[0029] Through the cooperative work of the above-mentioned modules, the present application realizes the rapid calibration test of aviation instruments. The image acquisition module 1 and the data processing module 2 are responsible for obtaining and analyzing the key parameter information of aviation instruments, and the calibration execution module 3 completes the automatic calibration operation according to the analysis results, while the environmental monitoring module and the safety protection module ensure the stability and reliability of the test process. The remote monitoring module further improves the real-time and traceability of the test data, and provides comprehensive technical support for the efficient calibration of aviation instruments. In order to better enable relevant personnel in the technical field to fully understand and implement the present application, the specific implementation principles of the present application are further supplemented below in conjunction with a specific application scenario.

[0030] Firstly, in the preparation stage of the calibration test of aviation instruments, the aviation instrument to be tested is fixed on the test platform, and the display interface is ensured to face 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 the lens thereof is perpendicular to the display interface of the aviation instrument, so as to avoid image distortion caused by angle deviation. The light source adjusting assembly 6 is composed of a plurality of annularly arranged LED lamp beads, which are distributed around the high-definition camera 5. The brightness is changed by adjusting the current intensity, so as to adapt to the change of environmental light conditions. For example, in a relatively dark environment, the light source adjusting assembly 6 increases the brightness of the LED lamp beads, so as to ensure that the high-definition camera 5 can clearly capture the key parameter information on the display interface of the aviation instrument. This design enables the system to stably operate under different light conditions, solving the problem of image quality decline caused by insufficient or excessive light in traditional methods.

[0031] Subsequently, the image acquisition and preprocessing phase begins. The image data captured by the high-definition camera 5 is transmitted to the image preprocessing unit in the data processing module 2. The image preprocessing unit first performs denoising on the raw image, using a Gaussian filter algorithm to remove random noise in the image. Next, histogram equalization is used to enhance the contrast of the image, highlighting key areas on the interface. Finally, an edge detection algorithm is used to segment the image, extracting the key parameter regions on the aviation instrument display interface. This series of processing steps ensures the accuracy of subsequent analysis. The preprocessed image is passed to the parameter analysis unit, which uses optical character recognition (OCR) technology to identify the numerical values of the key parameters and compares them with the preset standard values. If the parameter deviation is found to be outside the allowed range, corresponding deviation data is generated and transmitted to the control unit 4. The control unit 4 generates calibration instructions based on the received deviation data and sends them to the calibration execution module 3.

[0032] In the calibration execution phase, the mechanical arm 7 receives operation instructions from the control unit 4 and begins to adjust its position and attitude to complete the calibration operation. The positioning sensor 8 is installed at the joints of the mechanical arm 7 to detect the position and attitude information of the mechanical arm 7 in real time and feed these signals back to the control unit 4. For example, when the mechanical arm 7 needs to move to a certain specific position, the positioning sensor 8 continuously monitors its current coordinates and compares them with the target position. If a deviation is found, the control unit 4 sends correction instructions to the mechanical arm 7 to gradually approach the target position. The end of the mechanical arm 7 is equipped with replaceable calibration tool heads, and appropriate tool heads are selected according to the specific type of aviation instrument for calibration operation. For example, for a pointer instrument, the calibration tool head may be a micro motor for fine-tuning the position of the pointer; for a digital instrument, the calibration tool head may be a signal generator for adjusting internal circuit parameters. Through this precise motion feedback mechanism, the mechanical arm 7 can complete the calibration operation with sub-millimeter accuracy, significantly improving the accuracy and efficiency of calibration.

[0033] During the entire test process, the environmental monitoring module continuously monitors the temperature, humidity, and vibration of the test environment. The temperature and humidity sensor 9 and the vibration detector 10 collect environmental data and transmit them 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 automatically reduces the exposure time of the high-definition camera 5 to reduce image blurring caused by vibrations; at the same time, the image preprocessing unit in the data processing module 2 enhances the strength of the denoising algorithm to further improve image quality. This dynamic adjustment mechanism ensures the stability of the test results, maintaining high measurement accuracy even in complex and variable environments.

[0034] In addition, the safety protection module 12 plays an important role in ensuring the safety during the test process. When the environmental monitoring module detects abnormal conditions, such as excessive temperature or humidity, the safety protection module 12 will immediately start and send an alarm signal through the wireless communication module 13. The wireless communication module 13 transmits the alarm signal to the remote monitoring system, reminding the technicians to take appropriate measures. At the same time, the alarm device is connected with the control unit 4, when the parameter analysis unit detects that the parameter deviation of the aviation instrument exceeds the preset threshold, the alarm device will issue an audible and visual signal to prompt the operator to pay attention. This multi-level safety protection mechanism effectively reduces the risk during the test process, ensuring the safety of equipment and personnel.

[0035] Finally, the remote monitoring module uploads the data during the test process to the cloud server in real time through the wireless communication module 13. The remote monitoring module not only facilitates the technicians to view the test progress in real time, but also provides support for subsequent data analysis. For example, technicians can access historical test data through the cloud server to analyze the performance trend of aviation instruments, thereby optimizing the calibration strategy. In addition, the cloud server also supports multi-user collaboration, and technicians in different locations can view test data and discuss at the same time, significantly improving work efficiency.

[0036] Through the cooperation of the above-mentioned modules, the present application realizes the rapid calibration test of aviation instruments. The image acquisition module 1 and the data processing module 2 are responsible for obtaining and analyzing the key parameter information of aviation instruments, the calibration execution module 3 completes the automatic calibration operation according to the analysis results, and the environmental monitoring module and the safety protection module ensure the stability and reliability of the test 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.

[0037] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A machine vision-based rapid calibration and testing platform for aviation instruments, characterized in that, include: The system comprises 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 terminal for connecting to the aviation instrument and an output terminal for connecting to the calibration execution module (3). The control unit (4) is configured to receive the 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 terminal for connecting to the display interface of the aviation instrument and an output terminal for connecting to the data processing module (2). The data processing module (2) has an input terminal for connecting to the image acquisition module (1) and an output terminal for connecting to the control unit (4). The image acquisition module (1) includes: a high-definition camera (5) and a light source adjustment component (6); the high-definition camera (5) is positioned 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 several LED beads arranged in a ring, and the brightness of the light source is changed by adjusting the current intensity. The calibration execution module (3) includes: a robotic arm (7) and a positioning sensor (8); the robotic arm (7) has its base fixed on the base of the test platform and a replaceable calibration tool head installed at its end; the positioning sensor (8) is installed at the joint of the robotic arm (7) and is used to detect the position and attitude information of the robotic arm (7) in real time and transmit the position signal to the control unit (4).

2. The machine vision-based rapid calibration and testing platform for aviation instruments as described in claim 1, characterized in that, The data processing module (2) includes an image preprocessing unit and a parameter analysis unit. The image preprocessing unit has an input end connected to the high-definition camera (5) and an output end connected to the parameter analysis unit. It is used to perform noise reduction, enhancement and segmentation processing on the acquired image. The parameter analysis unit has an input end connected to the image preprocessing unit and an output end connected to the control unit (4). It is used to extract the key parameter values ​​in the image and compare them with preset standard values.

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

4. The machine vision-based rapid calibration and testing platform for aviation instruments as described in claim 3, characterized in that, The environmental monitoring module includes 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 terminal of the switch (11) and are used to monitor the temperature, humidity and vibration of the test environment, respectively, and transmit the monitoring data to the switch (11).

5. The machine vision-based rapid calibration and testing platform for aviation instruments as described in claim 1, characterized in that, Also includes: Alarm device; the alarm device is connected to the control unit (4), and when the parameter deviation of the aviation instrument is detected to exceed the preset threshold, the alarm device emits an audible and visual signal.

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