A dynamic image intelligent acquisition system for aircraft

By designing a dynamic image intelligent acquisition system, and using feature acquisition and analysis modules to accurately collect the dynamic images of the aircraft, the problem of low acquisition adaptability in the existing technology is solved, and the control accuracy and analysis accuracy are improved.

CN119743578AInactive Publication Date: 2025-04-01GANSU HONGTIANYADA ELECTRONIC TECH CO LTD
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Patent Information

Application Number
CN202411919797.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-25
Publication Date
2025-04-01
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The prior art cannot achieve accurate acquisition when using the same acquisition parameters to collect different targets, resulting in low adaptability to the acquisition for different targets.

Method used

A dynamic image intelligent acquisition system is designed, including an image acquisition module, a timing module, a processing module, a feature acquisition module, an analysis module and an instruction module. By preprocessing the dynamic image, obtaining features and comparing them with the preset profile, the target features are determined; the acquisition process of the dynamic image is analyzed based on the target features is qualified, and the acquisition parameters are adjusted according to the analysis results.

Benefits of technology

The control accuracy for the aircraft operation process is improved, the analysis accuracy of the dynamic image acquisition process is enhanced, and the acquisition adaptability is ensured under different target situations.

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Abstract

The present invention relates to the technical field of aircraft video monitoring, and in particular to a dynamic image intelligent acquisition system for aircraft. In the present invention, a target image is determined according to a dynamic image with target features, and a preliminary analysis is made on whether a dynamic image acquisition process is qualified according to the proportion of the number of acquired target images. When the acquisition process is preliminarily determined to be unqualified, it is considered that the acquisition frequency of the dynamic image will affect the number of acquired dynamic images, and thus a secondary judgment is made on whether the acquisition process is qualified according to the total number of acquired dynamic images, thereby improving the control accuracy of the aircraft operation process, providing sufficient analysis materials for a subsequent analysis process, analyzing the reasons for the unqualified acquisition process of the dynamic image when the proportion of the acquired target images is small, and adjusting the parameters of the data acquisition process and the analysis process according to the analysis results, thereby further improving the control accuracy of the aircraft operation process and improving the analysis accuracy.
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Description

Technical Field

[0001] The present invention relates to the technical field of aircraft video monitoring, and in particular to a dynamic image intelligent acquisition system for aircraft. Background Art

[0002] Real-time acquisition of dynamic images of aircraft can promptly detect possible faults in the aircraft. For example, by observing the status of the engine tail flame, if the tail flame is found to have abnormal color, jitter, or irregular shape changes, it may indicate that there is an engine fault. For the landing gear of the aircraft, its deployment and locking status can be monitored through images during landing, which can avoid accidents caused by landing gear failure. The existing technology generally performs dynamic image acquisition on a single target. However, when the same acquisition parameters are used to acquire different targets, the target cannot be accurately acquired, resulting in low acquisition adaptability for different targets.

[0003] Chinese patent application number: CN201710576462.1 discloses a dynamic image processing system, including: 2 image acquisition modules, 1 image routing and analog-to-digital conversion module, 1 image compression module, 1 image network output module, 1 image cache RS485 output module, a power conversion unit, and a host computer. By unpacking the key coding frames with a large amount of data generated after image compression, the key frame packets and the ordinary frame packets are grouped to ensure that the data amount of each sent packet is fixed, and the bandwidth resources occupied at each moment during data output are fixed, it can be guaranteed that the full bandwidth output of the data can be carried out under the conditions of spacecraft, carriers, satellite telemetry bandwidth resources and their tight usage conditions, and H.265 image compression encoding transmission.

[0004] However, the prior art still has the following problems:

[0005] When the same acquisition parameters are used to acquire different targets, the targets cannot be acquired accurately, resulting in low acquisition adaptability for different targets. Summary of the invention

[0006] To this end, the present invention provides a dynamic image intelligent acquisition system for an aircraft, which is used to overcome the problem in the prior art that when the same acquisition parameters are used to acquire different targets, the target cannot be accurately acquired, resulting in low acquisition adaptability for different targets.

[0007] To achieve the above-mentioned purpose, the present invention provides a dynamic image intelligent acquisition system for aircraft. It includes:

[0008] An image acquisition module, which is used to periodically acquire dynamic images of the aircraft;

[0009] A timing module, connected to the image acquisition module, for recording the acquisition time of the dynamic image;

[0010] A processing module, connected to the image acquisition module, for preprocessing the dynamic image;

[0011] A feature acquisition module, which is connected to the processing module, is used to acquire features in the preprocessed image, compare the contour of the acquired feature with the preset contour to obtain the overlap, and record the feature to which the contour with the overlap higher than the preset overlap as the target feature;

[0012] an analysis module connected to the image acquisition module, the timing module, the processing module and the feature acquisition module, and configured to determine whether the acquisition process of the dynamic image of the aircraft is qualified based on the target feature, and to determine whether the acquisition process is qualified based on the total number of dynamic images acquired when the acquisition process of the dynamic image is initially determined to be unqualified, or to analyze the reason for the unqualified acquisition process based on the proportion of the number of target images;

[0013] An instruction module is connected to the analysis module and is used to generate corresponding processing instructions based on the analysis results of the analysis module. The processing instructions include: the flight altitude of the aircraft, the flight speed of the aircraft, the recognition standard of the features of the dynamic image by the feature acquisition module, and the judgment criterion of whether the acquisition process of the dynamic image analyzed by the analysis module is qualified.

[0014] Furthermore, the analysis module is also used to identify each of the dynamic images, mark the dynamic images with target contours as target images, and analyze whether the acquisition process of the dynamic images is qualified based on the number ratio of the target images, including:

[0015] Calculate the ratio of the number of target images to the total number of dynamic images to get the number ratio.

[0016] If the quantity ratio is greater than or equal to the first preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is qualified;

[0017] If the number ratio is less than the first preset number ratio and greater than or equal to the second preset number ratio, the analysis module determines whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images;

[0018] If the quantity ratio is less than the second preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is unqualified, and analyzes the reasons for the unqualified acquisition process based on the quantity ratio.

[0019] Furthermore, the analysis module is also used to secondarily determine whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images, including:

[0020] If the total number of the dynamic images is greater than or equal to the preset total number, the analysis module determines that the acquisition process for the dynamic images is unqualified, and analyzes the reasons for the unqualified acquisition process based on the number ratio;

[0021] If the total number of the dynamic images is less than the preset total number, the analysis module determines that the acquisition process for the dynamic images is qualified and corrects the first preset number ratio.

[0022] Furthermore, the analysis module is further configured to correct the first preset number ratio based on the acquisition frequency of the dynamic image, wherein a reduction in the first preset number ratio is negatively correlated with the acquisition frequency.

[0023] Furthermore, the analysis module is further used to calculate the difference between the second preset number ratio and the number ratio, and analyze the reasons for the failure of the dynamic image acquisition process according to the difference in ratio, including:

[0024] If the ratio difference is less than or equal to the first preset ratio difference, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified;

[0025] If the proportion difference is greater than the first preset proportion difference and less than or equal to the second preset proportion difference, the analysis module determines the reason for the failure of the acquisition process of the dynamic image based on the distribution of the non-target images;

[0026] If the proportion difference is greater than the second preset proportion difference, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

[0027] Furthermore, the analysis module is also used to calculate the average value of the shortest distance between the position of the feature in each target image and the edge of the image when it is determined that the running speed of the image acquisition module acquisition process is unqualified, and adjust the moving speed of the image acquisition module acquisition process based on the average value, wherein the increase in the moving speed is negatively correlated with the average value.

[0028] Furthermore, the analysis module is also used to adjust the flying height of the image acquisition module based on the adjusted moving speed when the moving speed of the image acquisition module is adjusted, wherein the increase in the flying height is positively correlated with the moving speed.

[0029] Furthermore, the analysis module is also used to mark the dynamic images without the target contour as non-target images, and to secondary determine the reasons why the acquisition process of the dynamic images is unqualified based on the distribution of the non-target images, including:

[0030] If the non-target images are concentrated, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified;

[0031] If the non-target images are dispersedly distributed, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

[0032] Furthermore, the analysis module calculates the ratio of the area of ​​the target contour to the total area of ​​the dynamic image under the condition that the image processing is determined to be unqualified, obtains the area ratio, and adjusts the target contour acquisition standard based on the area ratio, wherein the reduction in the target contour acquisition standard is negatively correlated with the area ratio.

[0033] Compared with the prior art, the beneficial effect of the present invention lies in that, in the present invention, the target image is determined according to the dynamic image with the target feature, and whether the acquisition process of the dynamic image is qualified is preliminarily analyzed according to the proportion of the number of the acquired target images. When the acquisition process is preliminarily determined to be unqualified, it is considered that the acquisition frequency of the dynamic image will have an impact on the number of the acquired dynamic images, and thus a secondary judgment is made on whether the acquisition process is qualified according to the total number of the acquired dynamic images, thereby improving the control accuracy of the aircraft operation process, providing sufficient analysis materials for the subsequent analysis process, analyzing the reasons for the unqualified acquisition process of the dynamic image when the proportion of the acquired target images is small, and adjusting the parameters of the data acquisition process and the analysis process according to the analysis results, so as to further improve the control accuracy of the aircraft operation process and improve the analysis accuracy.

[0034] Furthermore, the present invention takes into account that when an aircraft flies at high speed, a complex airflow field will be generated around it. When the UAV approaches the aircraft to obtain dynamic images, these airflows will interfere with the UAV, and turbulence and vortices will be generated around the wings and fuselage of the aircraft. Once the UAV enters these areas, its own aerodynamic characteristics will be changed, resulting in an unstable flight attitude, which may easily cause the UAV to shake, tilt or even flip violently. Therefore, when the speed of the UAV increases, the distance between the UAV and the aircraft is shortened, and the airflow field generated by the flight of the aircraft increases the interference with the UAV. At the same time, when the UAV flies at low altitude, the low-altitude airflow is relatively complex and is easily affected by factors such as ground buildings and terrain. Turbulence occurs easily. The present invention increases the flight altitude of the UAV when the speed of the UAV increases, and the high-altitude airflow is relatively stable. At the same time, the interference degree of the aircraft to the UAV is reduced, thereby ensuring the stability of the UAV image acquisition process, thereby improving the quality of the acquired images. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The structure diagram of the dynamic image intelligent acquisition system for aircraft of the present invention;

[0036] Figure 2 A flow chart for analyzing whether the acquisition process of dynamic images is qualified;

[0037] Figure 3 A flow chart for secondary determination of whether the acquisition process of dynamic images is qualified;

[0038] Figure 4 A flow chart for analyzing the reasons why the acquisition process for dynamic images fails. DETAILED DESCRIPTION

[0039] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0040] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical data of the system of the present invention in the six months before this determination and the corresponding historical determination results. It can be understood by those skilled in the art that the determination method of the system of the present invention for a single parameter mentioned above can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define different specific situations in the single determination process through the obtained values.

[0041] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0042] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0043] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0044] See also Figure 1 As shown, it is a structural block diagram of the dynamic image intelligent acquisition system for aircraft of the present invention.

[0045] The dynamic image intelligent acquisition system for an aircraft provided in this embodiment includes:

[0046] An image acquisition module, which is used to periodically acquire dynamic images of the aircraft;

[0047] A timing module, connected to the image acquisition module, for recording the acquisition time of the dynamic image;

[0048] A processing module, connected to the image acquisition module, for preprocessing the dynamic image;

[0049] A feature acquisition module, which is connected to the processing module, is used to acquire features in the preprocessed image, compare the contour of the acquired feature with the preset contour to obtain the overlap, and record the feature to which the contour with the overlap higher than the preset overlap as the target feature;

[0050] an analysis module connected to the image acquisition module, the timing module, the processing module and the feature acquisition module, and configured to determine whether the acquisition process of the dynamic image of the aircraft is qualified based on the target feature, and to determine whether the acquisition process is qualified based on the total number of dynamic images acquired when the acquisition process of the dynamic image is initially determined to be unqualified, or to analyze the reason for the unqualified acquisition process based on the proportion of the number of target images;

[0051] An instruction module is connected to the analysis module and is used to generate corresponding processing instructions based on the analysis results of the analysis module. The processing instructions include: the flight altitude of the aircraft, the flight speed of the aircraft, the recognition standard of the features of the dynamic image by the feature acquisition module, and the judgment criterion of whether the acquisition process of the dynamic image analyzed by the analysis module is qualified.

[0052] Specifically, in this embodiment, the specific structure of the image acquisition module is not limited, and a drone can be used for acquisition.

[0053] Specifically, in this embodiment, the specific structure of the timing module is not limited, and it only needs to be able to record the acquisition time of the dynamic image. This belongs to the existing technology and will not be described in detail.

[0054] Specifically, the specific structures of the processing module, feature acquisition module, analysis module and instruction module are not limited in this embodiment, and they can be composed of logical components, and the logical components include a field programmable processor, a computer and a microprocessor in the computer.

[0055] Specifically, in this embodiment, contours of various shapes of the monitored object are obtained based on big data to obtain a preset contour, and the overlap degree is the length of the overlapping portion of the contour and the preset contour divided by the total length of the preset contour. The preset overlap degree is selected between the interval [0.85, 0.9].

[0056] In the present invention, the target image is determined according to the dynamic image with the target feature, and whether the acquisition process of the dynamic image is qualified is preliminarily analyzed according to the proportion of the number of the acquired target images. When the acquisition process is preliminarily determined to be unqualified, it is taken into account that the acquisition frequency of the dynamic image will have an impact on the number of the acquired dynamic images. Therefore, a secondary judgment is made on whether the acquisition process is qualified according to the total number of the acquired dynamic images, thereby improving the control accuracy of the aircraft operation process and providing sufficient analysis materials for the subsequent analysis process. When the proportion of the acquired target images is small, the reason for the unqualified acquisition process of the dynamic image is analyzed, and the parameters of the data acquisition process and the analysis process are adjusted according to the analysis results, so as to further improve the control accuracy of the aircraft operation process and improve the analysis accuracy.

[0057] See also Figure 2 As shown, it is a flow chart for analyzing whether the acquisition process of dynamic images is qualified.

[0058] Specifically, the analysis module is further used to identify each of the dynamic images, mark the dynamic images with target contours as target images, and analyze whether the acquisition process of the dynamic images is qualified based on the number ratio of the target images, including:

[0059] Calculate the ratio of the number of target images to the total number of dynamic images to get the number ratio.

[0060] If the quantity ratio is greater than or equal to the first preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is qualified;

[0061] If the number ratio is less than the first preset number ratio and greater than or equal to the second preset number ratio, the analysis module determines whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images;

[0062] If the quantity ratio is less than the second preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is unqualified, and analyzes the reasons for the unqualified acquisition process based on the quantity ratio.

[0063] Specifically, in this embodiment, the first preset quantity ratio is selected in the interval [0.85, 0.9], and the second preset quantity ratio is selected in the interval [0.7, 0.75].

[0064] See also Figure 3 As shown, it is a flow chart for secondary determination of whether the acquisition process of dynamic images is qualified.

[0065] Specifically, the analysis module is also used to secondarily determine whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images, including:

[0066] If the total number of the dynamic images is greater than or equal to the preset total number, the analysis module determines that the acquisition process for the dynamic images is unqualified, and analyzes the reasons for the unqualified acquisition process based on the number ratio;

[0067] If the total number of the dynamic images is less than the preset total number, the analysis module determines that the acquisition process for the dynamic images is qualified and corrects the first preset number ratio.

[0068] Specifically, in this embodiment, the preset total number is obtained in advance, and the optimal shooting frequency for obtaining dynamic images of the aircraft is determined based on big data. The total number of dynamic images collected is determined based on the current operating time of the aircraft. The preset total number is 0.9 to 1.2 times the total number of collections.

[0069] Specifically, the analysis module is further configured to correct the first preset number ratio based on the acquisition frequency of the dynamic image, wherein the reduction amount of the first preset number ratio is negatively correlated with the acquisition frequency.

[0070] In this embodiment, optionally,

[0071] The acquisition frequency is compared with a first preset acquisition frequency standard threshold and a second preset acquisition frequency,

[0072] If the acquisition frequency is less than or equal to the first preset acquisition frequency standard threshold, the first proportion is reduced, and the first proportion is 0.2 times the initial first preset quantity proportion;

[0073] If the acquisition frequency is greater than the first preset acquisition frequency standard threshold and less than or equal to the second preset acquisition frequency standard threshold, then reduce the second proportion, and the second proportion is 0.15 times the initial first preset quantity proportion;

[0074] If the acquisition frequency is greater than the second preset acquisition frequency standard threshold, the third proportion is reduced, and the third proportion is 0.1 times the initial first preset quantity proportion;

[0075] Among them, the first preset acquisition frequency standard threshold and the second preset acquisition frequency standard threshold are obtained in advance, and the optimal shooting frequency for acquiring dynamic images of the aircraft is determined based on big data. The first preset acquisition frequency standard threshold is 1.2 times the optimal shooting frequency, and the second preset acquisition frequency standard threshold is 1.3 times the optimal shooting frequency.

[0076] See also Figure 4 As shown, it is a determination flow chart for analyzing the reasons why the acquisition process of dynamic images is unqualified.

[0077] Specifically, the analysis module is further used to calculate the difference between the second preset number ratio and the number ratio, and analyze the reasons for the failure of the dynamic image acquisition process according to the difference in ratio, including:

[0078] If the ratio difference is less than or equal to the first preset ratio difference, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified;

[0079] If the proportion difference is greater than the first preset proportion difference and less than or equal to the second preset proportion difference, the analysis module determines the reason for the failure of the acquisition process of the dynamic image based on the distribution of the non-target images;

[0080] If the proportion difference is greater than the second preset proportion difference, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

[0081] Specifically, in this embodiment, the first preset proportion difference is 0.05 times the second preset quantity proportion, and the second preset proportion difference is 0.1 times the second preset quantity proportion.

[0082] Specifically, the analysis module is also used to calculate the average value of the shortest distance between the position of the feature in each target image and the edge of the image when it is determined that the running speed of the image acquisition module's acquisition process is unqualified, and adjust the moving speed of the image acquisition module's acquisition process based on the average value, wherein the increase in the moving speed is negatively correlated with the average value.

[0083] In this embodiment, optionally,

[0084] The average value of the shortest distance is compared with the first preset average value standard threshold and the second preset average value standard threshold,

[0085] If the average value of the shortest distance is less than or equal to the first preset average value standard threshold, increase the first moving speed, and the first moving speed is 0.25 times the initial moving speed;

[0086] If the average value of the shortest distance is greater than the first preset average value standard threshold and less than or equal to the second preset average value standard threshold, increase the second moving speed, and the second moving speed is 0.2 times the initial moving speed;

[0087] If the average value of the shortest distance is greater than the second preset average value standard threshold, increase the third moving speed, and the third moving speed is 0.15 times the initial moving speed;

[0088] Among them, the optimal distance between the drone and the aircraft used to collect images is determined based on big data, the first preset average standard threshold is 0.95 times the optimal distance, and the second preset average standard threshold is 1.2 times the optimal distance.

[0089] Specifically, the analysis module is further used to adjust the flying height of the image acquisition module based on the adjusted moving speed when the moving speed of the image acquisition module is adjusted, wherein the increase in the flying height is positively correlated with the moving speed.

[0090] In this embodiment, optionally,

[0091] The moving speed is compared with the first preset moving speed and the second preset moving speed.

[0092] If the moving speed is less than or equal to the first preset moving speed, the first flight altitude is increased, and the first flight altitude is 0.12 times the initial flight altitude;

[0093] If the moving speed is greater than the first preset moving speed and less than or equal to the second preset moving speed, then the second flight altitude is increased, and the second flight altitude is 0.2 times the initial flight altitude;

[0094] If the moving speed is greater than the second preset moving speed, the third flight altitude is increased, and the third flight altitude is 0.25 times of the initial flight altitude;

[0095] Among them, the first preset moving speed and the second preset moving speed are obtained by pre-measurement, and the average moving speed during the operation of the aircraft is solved. The first preset moving speed is 0.85 times the average moving speed, and the second preset moving speed is 0.9 times.

[0096] The present invention takes into account that when an aircraft flies at high speed, a complex airflow field will be generated around it. When the UAV approaches the aircraft to obtain dynamic images, these airflows will interfere with the UAV, and turbulence and vortices will be generated around the wings and fuselage of the aircraft. Once the UAV enters these areas, its own aerodynamic characteristics will be changed, resulting in an unstable flight attitude, which may easily cause the UAV to shake, tilt or even flip violently. Therefore, when the speed of the UAV increases, the distance between the UAV and the aircraft is shortened, and the airflow field generated by the flight of the aircraft increases the interference with the UAV. At the same time, when the UAV flies at low altitude, the low-altitude airflow is relatively complex and is easily affected by factors such as ground buildings and terrain. Turbulence occurs easily. The present invention increases the flight altitude of the UAV when the speed of the UAV increases, and the high-altitude airflow is relatively stable. At the same time, the interference degree of the aircraft to the UAV is reduced, thereby ensuring the stability of the UAV image acquisition process, thereby improving the quality of the acquired images.

[0097] Specifically, the analysis module is also used to mark dynamic images without target contours as non-target images, and secondarily determine the reasons why the acquisition process of the dynamic images is unqualified based on the distribution of non-target images, including:

[0098] If the non-target images are concentrated, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified;

[0099] If the non-target images are dispersedly distributed, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

[0100] Specifically, the analysis module calculates the ratio of the area of ​​the target contour to the total area of ​​the dynamic image under the condition that the image processing is judged to be unqualified, obtains the area ratio, and adjusts the acquisition standard of the target contour based on the area ratio, wherein the reduction in the acquisition standard of the target contour is negatively correlated with the area ratio.

[0101] In this embodiment, optionally,

[0102] The area ratio is compared with the first preset area ratio and the second preset area ratio.

[0103] If the area ratio is less than or equal to the first preset area ratio, the first acquisition standard is reduced, and the first acquisition standard is 0.18 times the preset overlap;

[0104] If the area ratio is greater than the first preset area ratio and less than or equal to the second preset area ratio, the second acquisition standard is reduced to 0.15 times the preset overlap;

[0105] If the area ratio is greater than the second preset area ratio, the third acquisition standard is reduced to 0.12 times the preset overlap;

[0106] The target contour is obtained based on a preset overlap.

[0107] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0108] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A dynamic image intelligent acquisition system for aircraft, characterized in that: include: An image acquisition module, which is used to periodically acquire dynamic images of the aircraft; A timing module, connected to the image acquisition module, for recording the acquisition time of the dynamic image; A processing module, connected to the image acquisition module, for preprocessing the dynamic image; A feature acquisition module, which is connected to the processing module, is used to acquire features in the preprocessed image, compare the contour of the acquired feature with the preset contour to obtain the overlap, and record the feature to which the contour with the overlap higher than the preset overlap as the target feature; an analysis module connected to the image acquisition module, the timing module, the processing module and the feature acquisition module, and configured to determine whether the acquisition process of the dynamic image of the aircraft is qualified based on the target feature, and to determine whether the acquisition process is qualified based on the total number of dynamic images acquired when the acquisition process of the dynamic image is initially determined to be unqualified, or to analyze the reason for the unqualified acquisition process based on the proportion of the number of target images; An instruction module is connected to the analysis module and is used to generate corresponding processing instructions based on the analysis results of the analysis module. The processing instructions include: the flight altitude of the aircraft, the flight speed of the aircraft, the recognition standard of the feature acquisition module for the features of the dynamic image, and the judgment criterion of whether the analysis module analyzes the acquisition process of the dynamic image to be qualified.

2. The dynamic image intelligent acquisition system for aircraft according to claim 1, characterized in that: The analysis module is also used to identify each of the dynamic images, mark the dynamic images with target contours as target images, and analyze whether the acquisition process of the dynamic images is qualified based on the number ratio of the target images, including: Calculate the ratio of the number of target images to the total number of dynamic images to get the number ratio. If the quantity ratio is greater than or equal to the first preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is qualified; If the number ratio is less than the first preset number ratio and greater than or equal to the second preset number ratio, the analysis module determines whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images; If the quantity ratio is less than the second preset quantity ratio, the analysis module determines that the acquisition process for the dynamic image is unqualified, and analyzes the reasons for the unqualified acquisition process based on the quantity ratio.

3. The dynamic image intelligent acquisition system for aircraft according to claim 2, characterized in that: The analysis module is also used to secondarily determine whether the acquisition process of the dynamic images is qualified based on the total number of dynamic images, including: If the total number of the dynamic images is greater than or equal to the preset total number, the analysis module determines that the acquisition process for the dynamic images is unqualified, and analyzes the reasons for the unqualified acquisition process based on the number ratio; If the total number of the dynamic images is less than the preset total number, the analysis module determines that the acquisition process for the dynamic images is qualified and corrects the first preset number ratio.

4. The dynamic image intelligent acquisition system for aircraft according to claim 3, characterized in that: The analysis module is further configured to correct the first preset number ratio based on the acquisition frequency of the dynamic image, wherein the reduction amount of the first preset number ratio is negatively correlated with the acquisition frequency.

5. The dynamic image intelligent acquisition system for aircraft according to claim 3, characterized in that: The analysis module is further used to calculate the difference between the second preset number ratio and the number ratio, and analyze the reasons for the failure of the dynamic image acquisition process according to the difference in ratio, including: If the ratio difference is less than or equal to the first preset ratio difference, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified; If the proportion difference is greater than the first preset proportion difference and less than or equal to the second preset proportion difference, the analysis module determines the reason for the failure of the acquisition process of the dynamic image based on the distribution of the non-target images; If the proportion difference is greater than the second preset proportion difference, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

6. The dynamic image intelligent acquisition system for aircraft according to claim 5, characterized in that: The analysis module is also used to calculate the average value of the shortest distance between the position of the feature in each target image and the edge of the image when it is determined that the running speed of the image acquisition module acquisition process is unqualified, and adjust the moving speed of the image acquisition module acquisition process based on the average value, wherein the increase in the moving speed is negatively correlated with the average value.

7. The dynamic image intelligent acquisition system for aircraft according to claim 6, characterized in that: The analysis module is also used to adjust the flying height of the image acquisition module based on the adjusted moving speed when the moving speed of the image acquisition module is adjusted, wherein the increase in the flying height is positively correlated with the moving speed.

8. The dynamic image intelligent acquisition system for aircraft according to claim 5, characterized in that: The analysis module is also used to mark the dynamic image without the target contour as a non-target image, and secondarily determine the reasons why the acquisition process of the dynamic image is unqualified based on the distribution of the non-target image, including: If the non-target images are concentrated, the reason why the analysis module determines that the acquisition process for the dynamic image is unqualified is that the running speed of the acquisition process of the image acquisition module is unqualified; If the non-target images are dispersedly distributed, the analysis module determines that the reason why the acquisition process for the dynamic image is unqualified is that the image processing is unqualified.

9. The dynamic image intelligent acquisition system for aircraft according to claim 8, characterized in that: The analysis module calculates the ratio of the area of ​​the target contour to the total area of ​​the dynamic image under the condition that the image processing is judged to be unqualified, obtains the area ratio, and adjusts the acquisition standard of the target contour based on the area ratio, wherein the reduction amount of the acquisition standard of the target contour is negatively correlated with the area ratio.

Citation Information

Patent Citations

  • A dynamic image processing system

    CN107707921B