A navigation light operation state data acquisition and monitoring system

Abstract

This invention belongs to the field of aviation light detection technology, and particularly relates to an aviation light operation status data acquisition and monitoring system. It includes a fixed acquisition component, a mobile acquisition component, and a data processing component. The fixed acquisition component includes an ambient light acquisition device installed along the runway edge. The mobile acquisition component includes a UAV, a binocular image acquisition device mounted on the UAV, and a ranging device. The data processing component includes an image preprocessing unit, a target detection unit, a light intensity analysis unit, and an early warning processing unit. This aviation light operation status data acquisition and monitoring system provides a way to independently and rapidly detect and analyze the status and light intensity parameters of a large number of aviation lights without relying on the current control and management system, providing a technical foundation for establishing a lightweight and efficient aviation light detection and analysis solution.

Description

Technical Field

[0001] This invention belongs to the field of navigation light detection technology, and in particular relates to a navigation light operation status data acquisition and monitoring system. Background Technology

[0002] Navigation lights are a crucial infrastructure for airport flight guidance and navigation, playing a vital role in ensuring safe and smooth takeoffs and landings. To guarantee flight safety, airport operations adhere to strict standards and regulations for the use of various navigation lights. These standards primarily include operational status information such as the electrical parameters of the navigation lights and illumination information such as brightness and distribution. Monitoring the operational status information of navigation lights mainly relies on the power supply and operation control system associated with the lights. However, illumination information involves various illumination data from different areas, angles, and speeds. Furthermore, due to the large number of navigation lights and their wide distribution, directly relying on the system's built-in photoelectric monitoring units for monitoring is extremely difficult and inefficient. This would also lead to an overly complex and cumbersome linear navigation light operation control system, which is detrimental to the long-term stable operation of the navigation lights. Summary of the Invention

[0003] The purpose of this invention is to provide a system for improving the acquisition and monitoring of navigation light operation status data without relying on existing navigation light operation control systems, thereby improving the efficiency of navigation light detection.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A navigation light operation status data acquisition and monitoring system includes a fixed acquisition component, a mobile acquisition component, and a data processing component;

[0006] The fixed acquisition component includes: a plurality of ambient light acquisition devices set along one side of the runway edge; the ambient light acquisition devices are installed on a folding pole at a height lower than the preset clearance height or set on the runway;

[0007] The activity acquisition components include: a drone, a binocular image acquisition device mounted on the drone, and a ranging device; the drone reciprocates along a preset detection line, which is located on the periphery of the runway on the other side, and the horizontal distance between the drone and the runway centerline is not less than the safe clearance distance D; several activity monitoring points are set along the preset detection line, and when the drone reaches an activity monitoring point, the binocular image acquisition device and at least one ambient light acquisition device complete the image acquisition of the same or a group of several navigation lights to be tested; the ranging device measures the distance from the drone to the navigation light under test and the height position of the binocular image acquisition device;

[0008] The data processing components include: an image preprocessing unit, a target detection unit, a light intensity analysis unit, and an early warning processing unit;

[0009] The image preprocessing unit completes image denoising preprocessing based on image denoising processing and filtering processing;

[0010] The target detection unit determines the target of the navigation light under test based on the image target detection algorithm, and controls the binocular image acquisition device and the ranging device to complete the measurement and image acquisition of the target of the navigation light under test;

[0011] The light intensity analysis unit extracts the light intensity data of the navigation light based on the navigation light image information, performs lens distortion correction on the original image based on the lens distortion coefficient of the acquisition device obtained by the imaging test, and performs light intensity correction based on the influence of the illuminance of the adjacent navigation lights on the navigation light under test; and collects and calculates the light intensity values ​​of each navigation light illumination range through the active monitoring points to determine the light intensity qualification of each area of ​​the navigation light.

[0012] The early warning processing unit issues early warning information based on the light intensity qualification test results of the light intensity analysis unit, and records and stores the data.

[0013] A further improvement or preferred implementation of the aforementioned navigation light operation status data acquisition and monitoring system involves the light intensity analysis unit collecting and calculating the light intensity values ​​of each navigation light illumination zone through active monitoring points to determine the light intensity qualification of each area of ​​the navigation light. Specifically, this means:

[0014] Based on the target detection unit, determine the navigation light target and retrieve the corresponding light intensity requirement parameters for each area of ​​the navigation light;

[0015] Generate light intensity acquisition area information and control the drone to reach the corresponding activity monitoring point in the area to acquire images;

[0016] After processing and analyzing the light intensity information collected from different areas, it is compared and matched with the light intensity requirements of each area.

[0017] In a further improvement or preferred implementation of the aforementioned navigation light operation status data acquisition and monitoring system, the lens distortion correction specifically refers to: for the original imaging images acquired by the acquisition device... First, based on the lens distortion coefficient of the acquisition device obtained from the imaging test... Lens distortion correction is performed on the original image, and the corrected image is represented as follows: ;

[0018] in ; It refers to the coordinates of pixels in the image. It refers to the updated coordinates of pixels in the corrected image.

[0019] In a further improvement or preferred implementation of the aforementioned navigation light operation status data acquisition and monitoring system, the light intensity correction specifically refers to: adjusting the light intensity according to the horizontal angle of the light rays. and vertical angle Represented as For any nearby navigation light, assuming its optical axis is perpendicular to the imaging plane, its vertical distance from the acquisition device is d, and its horizontal distance is s, then the distance between it and the image acquisition point of the navigation light under test is... ,in This refers to the spacing between navigation lights; therefore, the influence of neighboring navigation lights on the illuminance of the navigation light under test at the image acquisition point is expressed as: ;

[0020] in It refers to the angle between the axis of the adjacent navigation light and the imaging plane of the image acquisition point of the navigation light under test; This refers to calculations based on raw imaging images of nearby navigation lights. The light intensity value at the angle;

[0021] The corrected light intensity of the navigation light under test is expressed as follows: , This refers to the illuminance calculated based on the original acquired image.

[0022] In a further improvement or preferred embodiment of the aforementioned navigation light operation status data acquisition and monitoring system, the light intensity correction further includes:

[0023] In the presence of strong scattering interference, an image intensity model under strong scattering interference is established, and the actual light intensity data is obtained for subsequent processing; the image intensity model under strong scattering interference is expressed as:

[0024] ;

[0025] in Indicates the image coordinate position. Atmospheric scattering rate, Indicates true light intensity. This represents the maximum pixel light intensity outside the navigation light image area.

[0026] In a further improvement or preferred embodiment of the aforementioned navigation light operation status data acquisition and monitoring system, the active monitoring point is at the same horizontal height H as the ambient light acquisition device, and the angle between the active monitoring point and the navigation light under test or the nearest navigation light among several navigation lights under test is... The angle between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. ,in This refers to the effective horizontal beam angle of a navigation light; Where L refers to the distance between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. This refers to the effective vertical beam angle of a navigation light.

[0027] In a further improvement or preferred embodiment of the aforementioned navigation light operation status data acquisition and monitoring system, the ranging device is also used to: measure the straight-line distance between different corner points or positions of the luminous plane of the navigation light under test, and calculate the angle between the light plane and the imaging plane of the binocular image acquisition device based on the distance difference, so as to assist the binocular image acquisition device in adjusting its acquisition angle so that the imaging plane of the binocular image acquisition device is parallel to the luminous plane of the navigation light under test.

[0028] In a further improvement or preferred embodiment of the aforementioned navigation light operation status data acquisition and monitoring system, the binocular image acquisition device and the ambient light acquisition device adopt CCD industrial camera equipment.

[0029] A further improvement or preferred implementation of the aforementioned navigation light operation status data acquisition and monitoring system is to use a light sensor as the fixed acquisition component, which is then fixed to the external structure of the navigation light for installation and use.

[0030] The navigation light operation status data acquisition and monitoring system of this application is used to provide a rapid detection and analysis of the status and light intensity of a large number of navigation lights without relying on the current control and management system, providing a technical basis for establishing a lightweight and efficient navigation light detection and analysis solution. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the implementation of the navigation light operation status data acquisition and monitoring system;

[0032] Figure 2 This is a schematic diagram of the layout of the navigation light operation status data acquisition and monitoring system.

[0033] The reference numerals in the attached figures include:

[0034] Activity monitoring point J1, fixed monitoring point J2. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0036] Airport navigation lighting systems involve various types of lights, including centerline lights along the runway centerline, edge lights along both sides of the runway, entrance lights at the start and end points of the runway, and altitude indicators. For navigation safety, navigation lights require high levels of luminous intensity and uniformity from each light, with an average luminous intensity reaching [a certain level]. Current testing systems typically involve close-range detection at the location of the navigation lights, making it difficult to prioritize the analysis of the light distribution effects at greater distances. Furthermore, for long runways at large airports, a large number of dispersed detection systems or data acquisition terminals are often required, resulting in a monitoring system that often stretches for several kilometers, leading to high usage and maintenance costs. To address this, this application proposes a simpler and more efficient navigation light operation status data acquisition and monitoring system that combines unmanned detection technology with visual analysis technology to meet the needs of lightweight and efficient navigation light detection.

[0037] like Figure 1 As shown, it includes a fixed acquisition component, an active acquisition component, and a data processing component;

[0038] The fixed acquisition component in this application is mainly used to continuously acquire information such as the external ambient light of the navigation light area, including several ambient light acquisition devices J2 set along one edge of the runway.

[0039] It is used for background analysis and processing during the analysis and calculation of lighting information such as light in industrial parks, and when necessary, it can be used for positioning and navigation of the active acquisition component based on its relative position to the active acquisition component. The commonly used fixed acquisition component is a CCD industrial camera.

[0040] To ensure effective data acquisition while avoiding impact on navigation safety, the ambient light acquisition device is installed on a foldable pole at a height lower than the preset clearance height or on the runway.

[0041] As a preferred technical solution, to further reduce the difficulty of system configuration and data acquisition, the fixed acquisition component can also directly use small electronic components such as light sensors, and be installed and used by fixing it to the external structure of the navigation light, so as to realize information transmission and power supply using the existing navigation light data acquisition and transmission system.

[0042] The activity acquisition component is used to efficiently and quickly complete the acquisition of navigation light illumination data. In order to effectively collect navigation light intensity and distribution data, this application uses a drone to quickly acquire navigation light illumination images. The data is continuously acquired through activity monitoring points distributed in different illumination distribution areas of the navigation light illumination area. Its basic components include a drone and a binocular image acquisition device and a ranging device set on the drone.

[0043] The drone moves back and forth along a preset detection line, which is set on the outer perimeter of the runway on the other side, and the horizontal distance between the drone and the center line of the airport runway is not less than the safety distance D (generally D≥75m).

[0044] The preset detection line is provided with several active monitoring points. The UAV hovers at the active monitoring points and completes image acquisition of the same or group of several navigation lights to be tested with at least one ambient light acquisition device.

[0045] At the same time, the distance between the drone and the navigation light being measured, as well as the drone's altitude position, are measured using a ranging device to avoid collisions and ensure compliance with flight airspace restrictions.

[0046] The data processing components include: an image preprocessing unit, a target detection unit, a light intensity analysis unit, and an early warning processing unit;

[0047] The image preprocessing unit completes image denoising preprocessing based on image denoising processing and filtering processing;

[0048] The target detection unit determines the target of the navigation light under test based on the image target detection algorithm, and controls the binocular image acquisition device and the ranging device to complete the measurement and image acquisition of the target of the navigation light under test;

[0049] The light intensity analysis unit extracts the light intensity data of the navigation light based on the navigation light image information, performs lens distortion correction on the original image based on the lens distortion coefficient of the acquisition device obtained by the imaging test, and performs light intensity correction based on the influence of the illuminance of the adjacent navigation lights on the navigation light under test; and collects and calculates the light intensity values ​​of each navigation light illumination range through the active monitoring points to determine the light intensity qualification of each area of ​​the navigation light.

[0050] The early warning processing unit issues early warning information based on the light intensity qualification test results of the light intensity analysis unit, and records and stores the data.

[0051] Furthermore, to ensure the effectiveness of image acquisition and reduce interference, the imaging plane of the acquisition platform should be made as parallel as possible to the emitting surface, so that the light to be detected is as perpendicular as possible to the imaging plane. Therefore, the straight-line distance of different corner points or positions of the emitting plane of the navigation light under test can be measured by a ranging device to assist the binocular image acquisition device in adjusting its acquisition angle so that the imaging plane of the binocular image acquisition device is parallel to the emitting plane of the navigation light under test.

[0052] Specifically, the navigation lights on both sides of the runway have prescribed illumination angles and ranges. To better control the distribution of active monitoring points and ensure the consistency of sampling data, in this embodiment, the active monitoring points are at the same horizontal height H as the ambient light acquisition device, and the angle between the active monitoring point and the navigation light under test or the nearest navigation light among several navigation lights under test is... The angle between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. ,in This refers to the effective horizontal beam angle of a navigation light; Where L refers to the distance between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. This refers to the effective vertical beam angle of the navigation light;

[0053] Lens distortion, shooting angle deviation, and the influence of nearby light sources in both binocular image acquisition devices and ambient light acquisition devices can lead to image distortion and ambient light interference, which cannot be ignored in the process of accurate navigation light detection. Therefore, it is necessary to correct the images acquired by the acquisition devices. Specifically:

[0054] For the raw imaging images acquired by the acquisition device First, based on the lens distortion coefficient of the acquisition device obtained from the imaging test... Lens distortion correction is performed on the original image, and the corrected image is represented as follows: ;

[0055] in ; It refers to the coordinates of pixels in the image. It refers to the updated coordinates of pixels in the corrected image;

[0056] The light intensity value on the corrected navigation light urban and rural images is affected by the combined effects of navigation light illumination, ambient light, and interference light from nearby navigation lights. Ambient light is acquired through a fixed-time image acquisition device. As for interference from nearby navigation lights, since the imaging plane is acquired in parallel based on the imaging plane of the navigation light under test, it can be effectively eliminated by configuring a cosine polarizing lens in front of the acquisition lens. The interference that is not completely eliminated mainly comes from the interference of the nearest neighboring navigation light.

[0057] Light intensity is expressed as the horizontal angle of the light ray. and vertical angle Represented as To simplify the calculation, for any adjacent navigation light, assume its optical axis is perpendicular to the imaging plane, its vertical distance from the acquisition device is d, and its horizontal distance is s. Then, the distance between the navigation light and the image acquisition point of the target navigation light is... ,in This refers to the spacing between navigation lights; therefore, the influence of neighboring navigation lights on the illuminance of the navigation light under test at the image acquisition point is expressed as: ;

[0058] in It refers to the angle between the axis of the adjacent navigation light and the imaging plane of the image acquisition point of the navigation light under test; This refers to calculations based on raw imaging images of nearby navigation lights. The light intensity value at the angle; then the corrected light intensity of the navigation light under test is expressed as: , This refers to the illuminance value calculated based on the original acquired image;

[0059] Specifically, based on the above, when conducting online operations, flight takeoffs and landings are unavoidable. During actual image acquisition, the direction of aircraft takeoff and landing is usually avoided, and aircraft lights are typically outside the image frame. However, the large amount of external light from aircraft creates extensive scattered light in the runway area, causing strong scattering interference in the image and resulting in significant brightness differences in certain areas. In this case, further scattering interference processing should be performed; specifically:

[0060] A light intensity model for an image under strong scattering interference is established, and the actual light intensity data is obtained for subsequent processing; the light intensity model for the image under strong scattering interference is expressed as follows:

[0061] ;

[0062] in Indicates the image coordinate position. Atmospheric scattering rate, Indicates true light intensity. This represents the maximum pixel light intensity outside the navigation light image area;

[0063] In practice, according to the relevant requirements of the navigation light usage specifications, navigation lights with different positions and functions not only have their specific illumination coverage range, but also have corresponding requirements for illumination effect, light intensity, and other parameters in different areas of the illumination coverage range and in different control time periods. In the specific implementation process, according to the specifications, the areas with different light intensity requirements for each navigation light are specified, and the specific locations of the activity monitoring points are configured. Through careful detection and analysis, the corresponding light intensity detection results for each area are determined. Generally speaking, when the actual detected light intensity data is not less than a certain effective range of its limited minimum light intensity value (usually ≥70%), it is generally considered to meet the actual light intensity usage requirements. When it is less than a certain effective range of its limited minimum light intensity value (usually ≤60%), it is considered that the navigation light intensity effect in that area (angle or position) does not meet the usage requirements and further measurement and analysis are required.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A navigation light operation status data acquisition and monitoring system, characterized in that, It includes fixed acquisition components, active acquisition components, and data processing components; The fixed acquisition component includes: a plurality of ambient light acquisition devices set along one side of the runway edge; the ambient light acquisition devices are installed on a folding pole at a height lower than the preset clearance height or set on the runway; The activity acquisition components include: a drone, a binocular image acquisition device mounted on the drone, and a ranging device; the drone reciprocates along a preset detection line, which is located on the periphery of the runway on the other side, and the horizontal distance between the drone and the runway centerline is not less than the safe clearance distance D; several activity monitoring points are set along the preset detection line, and when the drone reaches an activity monitoring point, the binocular image acquisition device and at least one ambient light acquisition device complete the image acquisition of the same or a group of several navigation lights to be tested; the ranging device measures the distance from the drone to the navigation light under test and the height position of the binocular image acquisition device; The data processing components include: an image preprocessing unit, a target detection unit, a light intensity analysis unit, and an early warning processing unit; The image preprocessing unit completes image denoising preprocessing based on image denoising processing and filtering processing; The target detection unit determines the target of the navigation light under test based on the image target detection algorithm, and controls the binocular image acquisition device and the ranging device to complete the measurement and image acquisition of the target of the navigation light under test; The light intensity analysis unit extracts the light intensity data of the navigation light based on the navigation light image information, performs lens distortion correction on the original image based on the lens distortion coefficient of the acquisition device obtained by the imaging test, and performs light intensity correction based on the influence of the illuminance of the adjacent navigation lights on the navigation light under test; and collects and calculates the light intensity values ​​of each navigation light illumination range through the active monitoring points to determine the light intensity qualification of each area of ​​the navigation light. The early warning processing unit issues early warning information based on the light intensity qualification test results of the light intensity analysis unit, and records and stores the data.

2. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The light intensity analysis unit collects and calculates the light intensity values ​​of each illumination zone of the navigation light through active monitoring points to determine the light intensity qualification of each area of ​​the navigation light. Specifically, this means: Based on the target detection unit, determine the navigation light target and retrieve the corresponding light intensity requirement parameters for each area of ​​the navigation light; Generate light intensity acquisition area information and control the drone to reach the corresponding activity monitoring point in the area to acquire images; After processing and analyzing the light intensity information collected from different areas, it is compared and matched with the light intensity requirements of each area.

3. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The lens distortion correction specifically refers to: correcting the distortion of the original image acquired by the acquisition device. First, based on the lens distortion coefficient of the acquisition device obtained from the imaging test... Lens distortion correction is performed on the original image, and the corrected image is represented as follows: ; in ; It refers to the coordinates of pixels in the image. It refers to the updated coordinates of pixels in the corrected image.

4. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The light intensity correction specifically refers to: adjusting the light intensity according to the horizontal angle of the light rays. and vertical angle Represented as For any nearby navigation light, assuming its optical axis is perpendicular to the imaging plane, its vertical distance from the acquisition device is d, and its horizontal distance is s, then the distance between it and the image acquisition point of the navigation light under test is... ,in This refers to the spacing between navigation lights; therefore, the influence of neighboring navigation lights on the illuminance of the navigation light under test at the image acquisition point is expressed as: ; in It refers to the angle between the axis of the adjacent navigation light and the imaging plane of the image acquisition point of the navigation light under test; This refers to calculations based on raw imaging images of nearby navigation lights. The light intensity value at the angle; The corrected light intensity of the navigation light under test is expressed as follows: , This refers to the illuminance calculated based on the original acquired image.

5. The navigation light operation status data acquisition and monitoring system according to claim 4, characterized in that, The light intensity correction also includes: In the presence of strong scattering interference, an image intensity model under strong scattering interference is established, and the actual light intensity data is obtained for subsequent processing; the image intensity model under strong scattering interference is expressed as: ； in Indicates the image coordinate position. Atmospheric scattering rate, Indicates true light intensity. This represents the maximum pixel light intensity outside the navigation light image area.

6. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The activity monitoring point is at the same horizontal height H as the ambient light acquisition device, and the angle between the activity monitoring point and the navigation light under test or the nearest navigation light among several navigation lights under test is... The angle between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. ,in This refers to the effective horizontal beam angle of a navigation light; Where L refers to the distance between the ambient light acquisition device and the navigation light under test, or the nearest navigation light among several navigation lights under test. This refers to the effective vertical beam angle of a navigation light.

7. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The ranging device is also used to: measure the straight-line distance between different corner points or positions of the luminous plane of the navigation light under test, and calculate the angle between the light plane and the imaging plane of the binocular image acquisition device based on the distance difference, so as to assist the binocular image acquisition device in adjusting its acquisition angle so that the imaging plane of the binocular image acquisition device is parallel to the luminous plane of the navigation light under test.

8. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The binocular image acquisition device and the ambient light acquisition device are equipped with CCD industrial camera equipment.

9. The navigation light operation status data acquisition and monitoring system according to claim 1, characterized in that, The fixed acquisition component uses a light sensor and is installed and used by fixing it to the external structure of the navigation light.

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