Big Data Overlimit Alarm System Based on Content Segmentation

Abstract

The present invention relates to a big data overrun alarm system based on content segmentation, comprising: a visualization measurement device, arranged at a ground receiving station, for analyzing the corresponding distribution length of a drone based on the total number of pixel points and the imaging focal length of a customized filtered image; a network alarm device, configured to, when the analyzed corresponding distribution length of the drone is greater than the length limit corresponding to the no-fly airspace for extra-long models, network-transmit the alarm information corresponding to the extra-long model and the navigation and positioning data corresponding to the no-fly airspace for extra-long models to a remote drone control server. Through the present invention, a network alarm device at a ground position can be used to network-transmit the alarm information corresponding to the extra-long model and the navigation and positioning data corresponding to the airspace to the drone control server when the analyzed corresponding distribution length of the drone is greater than the length limit corresponding to the no-fly airspace for extra-long models, thereby realizing the automatic status management of the no-fly airspace for extra-long models.

Description

Technical Field

[0001] The present invention relates to the field of status alarms, and in particular to a big data over-limit alarm system based on content segmentation. Background Art

[0002] Compared with manned aircraft, drones are often more suitable for tasks that are too "dull, dirty or dangerous". Drones can be divided into military and civilian applications according to their application areas. In the military, drones are divided into reconnaissance aircraft and target aircraft. In the civilian field, drones + industry applications are the real rigid demand for drones; their applications in aerial photography, agriculture, plant protection, micro selfies, express delivery, disaster relief, wildlife observation, infectious disease monitoring, surveying and mapping, news reporting, power inspections, disaster relief, film and television shooting, creating romance, etc. have greatly expanded the use of drones themselves. At present, various countries and regions are actively expanding industry applications and developing drone technology.

[0003] Invention application CN116151590A involves a modular drone airport planning method for urban air traffic, including the following steps: determining the number of reserved aprons and the number of public routes; determining the number of take-off and landing channels, determining the apron size according to the size of the drone, and initializing the drone airport; designing the final approach circle, waiting altitude layer, landing altitude layer, take-off altitude layer, take-off channel, and emergency landing layer in the terminal area. The terminal area approach and departure and apron settings of this solution are highly scalable, support rapid adjustment of drone take-off and landing, dynamic adjustment of public route traffic, support simultaneous take-off and landing of multiple drones on multiple public routes, adapt to different throughput capacity requirements, and promote the safe use and efficient operation of urban air traffic.

[0004] Currently, there are some airspaces that limit the flight size of aircraft, such as the flight length limit of aircraft. If there are overlong aircraft in these airspaces, corresponding warnings and subsequent safety processing are required. However, there is currently a lack of targeted analysis mechanisms for the distribution length of drones that is greater than the length limit corresponding to the no-fly airspace for over-long aircraft, resulting in a lack of key reference data for the management of the corresponding airspace. Summary of the invention

[0005] In order to solve the technical problems in related fields, the present invention provides a big data over-limit alarm system based on content segmentation. By adopting a network alarm device arranged at a ground receiving station and connected to a visual measuring device, when the distribution length corresponding to the drone of the intelligent analysis is greater than the length limit corresponding to the no-fly airspace of the super-long aircraft, the alarm information corresponding to the over-length of the aircraft model and the navigation and positioning data corresponding to the no-fly airspace of the super-long aircraft are transmitted to a remote drone control server through the network, thereby realizing automatic status management of the no-fly airspace of the super-long aircraft.

[0006] According to the present invention, the system includes:

[0007] A content segmentation device, which is arranged at a ground receiving station and is used to segment out the picture content matching the navigation and positioning data from the remote sensing picture based on the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types, so as to output it as a remote sensing airspace picture;

[0008] An inclination correction device, which is arranged at the ground receiving station and is connected to the content segmentation device, and is used to perform inclination correction processing on the received remote sensing airspace picture to obtain and output a corresponding inclination correction image;

[0009] A direction filtering device, which is connected to the inclination correction device and is used to perform direction filtering processing on the received inclination correction image to obtain and output a corresponding direction filtering image;

[0010] A signal filtering device, which is connected to the direction filtering device and is used to perform adaptive recursive filtering processing on the received direction filtering image to obtain and output a corresponding customized filtering image;

[0011] A visualization measurement device, which is arranged at the ground receiving station and is connected to the signal filtering device. The visualization measurement device includes an information capture device, a focal length acquisition device, and a content conversion device. The content conversion device is respectively connected to the information capture device and the focal length acquisition device. The visualization measurement device is used to input the image block where the unmanned aerial vehicle is located in the customized filtering image, determine the total number of pixel points occupied by the direction of the length in the geometric shape corresponding to the image block where the unmanned aerial vehicle is located, and analyze the distribution length corresponding to the unmanned aerial vehicle based on the total number of pixel points and the imaging focal length of the customized filtering image. Any one of the total number of pixel points and the imaging focal length of the customized filtering image is monotonically and positively correlated with the distribution length corresponding to the unmanned aerial vehicle;

[0012] A network alarm device, which is arranged at the ground receiving station and is connected to the visualization measurement device, and is used to, when the analyzed distribution length corresponding to the unmanned aerial vehicle is greater than the length limit corresponding to the no-fly airspace for extra-long aircraft types, transmit the alarm information corresponding to the extra-long aircraft type and the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types to a remote unmanned aerial vehicle control server through the network;

[0013] Wherein, the visualization measurement device is used to input the image block where the unmanned aerial vehicle is located in the customized filtering image, and determining the total number of pixel points occupied by the direction of the length in the geometric shape corresponding to the image block where the unmanned aerial vehicle is located includes: identifying the image block where the unmanned aerial vehicle is located in the customized filtering image based on the color imaging characteristics of the unmanned aerial vehicle. Specific embodiments

[0014] The implementation scheme of the big data overrun alarm system based on content segmentation of the present invention will be described in detail below.

[0015] Embodiment 1

[0016] The big data overrun alarm system based on content segmentation shown in the UAV embodiment according to the present invention, the system comprising:

[0017] A content segmentation device, disposed at a ground receiving station, for segmenting, from a remote sensing picture, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace picture output based on the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types;

[0018] Exemplarily, a GAL chip can be selected to implement the content segmentation device, for segmenting, from a remote sensing picture, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace picture output based on the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types;

[0019] An inclination correction device, disposed at the ground receiving station and connected to the content segmentation device, for performing inclination correction processing on the received remote sensing airspace picture to obtain and output a corresponding inclination-corrected image;

[0020] A direction filtering device, connected to the inclination correction device, for performing direction filtering processing on the received inclination-corrected image to obtain and output a corresponding direction-filtered image;

[0021] A signal filtering device, connected to the direction filtering device, for performing adaptive recursive filtering processing on the received direction-filtered image to obtain and output a corresponding customized filtered image;

[0022] A visualization measurement device, disposed at the ground receiving station and connected to the signal filtering device, the visualization measurement device comprising an information capture device, a focal length acquisition device, and a content conversion device, the content conversion device being respectively connected to the information capture device and the focal length acquisition device, the visualization measurement device for inputting the image block where the UAV is located in the customized filtered image, determining the total number of pixel points occupied by the length direction in the geometric shape corresponding to the image block where the UAV is located, and analyzing the distribution length corresponding to the UAV based on the total number of pixel points and the imaging focal length of the customized filtered image, and any one of the total number of pixel points and the imaging focal length of the customized filtered image is monotonically and positively correlated with the distribution length corresponding to the UAV;

[0023] A network alarm device, disposed at the ground receiving station and connected to the visualization measurement device, for, when the analyzed distribution length corresponding to the UAV is greater than the length limit corresponding to the no-fly airspace for extra-long aircraft types, network-transmitting the alarm information corresponding to the over-length aircraft type and the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types to a remote UAV control server;

[0024] Among them, the visualization measurement device is used to input the image block where the drone is located in the customized filtering image, and determine the total number of pixel points occupied by the length in the geometric shape corresponding to the image block where the drone is located, including: identifying the image block where the drone is located in the customized filtering image based on the color imaging characteristics of the drone;

[0025] Among them, the content segmentation device, which is used to segment the picture content matching the navigation and positioning data from the remote sensing picture based on the navigation and positioning data corresponding to the no-fly airspace for extra-long models and output it as the remote sensing airspace picture, further includes: the content segmentation device includes a data receiving unit, a picture segmentation unit, and a data storage unit, and the picture segmentation unit is respectively connected to the data receiving unit and the data storage unit;

[0026] Among them, the network alarm device is further used to, when the distribution length corresponding to the parsed drone is less than or equal to the length limit corresponding to the no-fly airspace for extra-long models, temporarily suspend the network transmission of the alarm information corresponding to the extra-long model and the navigation and positioning data corresponding to the no-fly airspace for extra-long models to the remote drone control server;

[0027] Among them, based on the total number of pixel points and the imaging focal length of the customized filtering image, the distribution length corresponding to the drone is analyzed, and any one of the total number of pixel points and the imaging focal length of the customized filtering image is monotonically and positively correlated with the distribution length corresponding to the drone, including: using a numerical conversion function to represent the numerical conversion relationship in which any one of the total number of pixel points and the imaging focal length of the customized filtering image is monotonically and positively correlated with the distribution length corresponding to the drone.

[0028] Embodiment 2

[0029] The big data overrun alarm system based on content segmentation shown according to the embodiment of the present invention.

[0030] Compared with the drone embodiment, the big data overrun alarm system based on content segmentation shown in the embodiment of the present invention may further include:

[0031] A vibration detection device, which is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device;

[0032] Among them, the vibration detection device is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device, including: the vibration detection device is used to respectively perform on-site measurement of the body vibration values of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device.

[0033] Embodiment 3

[0034] An embodiment of the present invention shows a big data overrun alarm system based on content segmentation.

[0035] Compared with the drone embodiment, the big data overrun alarm system based on content segmentation shown in the embodiment of the present invention may further include:

[0036] A positioning server device is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device;

[0037] Among them, the positioning server device is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device, including: the positioning server device is used to respectively perform on-site supply of the positioning data based on the GPS positioning mechanism for the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device.

[0038] Next, the specific structure of the big data overrun alarm system based on content segmentation of the present invention will be further described.

[0039] In the big data overrun alarm system based on content segmentation according to each embodiment of the present invention:

[0040] A directional optimization mechanism is used to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

[0041] In the big data overrun alarm system based on content segmentation according to each embodiment of the present invention:

[0042] Using a directional optimization mechanism to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing exponential image enhancement on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

[0043] In the content segmentation-based big data overrun alarm system according to various embodiments of the present invention:

[0044] Using a directional optimization mechanism to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing dynamic range expansion on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

[0045] In the content segmentation-based big data overrun alarm system according to various embodiments of the present invention:

[0046] Using a directional optimization mechanism to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing curve radian adjustment on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

[0047] And in the content segmentation-based big data overrun alarm system according to various embodiments of the present invention:

[0048] Using a directional optimization mechanism to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing a point image restoration operation on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

[0049] In addition, in the big data over-limit alarm system based on content segmentation, a content segmentation device is configured to segment, from a remote sensing image, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace picture output, including: segmenting, from a remote sensing image, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace picture output based on the GPS navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types.

[0050] The present invention has significant technical creativity in the following aspects:

[0051] (1) A visualization measurement device including an information capture device, a focal length acquisition device, and a content conversion device is used to provide hardware resources for the conversion of the visualization data of the length of the unmanned aerial vehicle to entity data;

[0052] (2) Enter the image block where the unmanned aerial vehicle is located in the customized filtered image, determine the total number of pixel points occupied by the direction of the length in the geometric shape corresponding to the image block where the unmanned aerial vehicle is located, and analyze the distribution length corresponding to the unmanned aerial vehicle based on the total number of pixel points and the imaging focal length of the customized filtered image. Any one of the total number of pixel points and the imaging focal length of the customized filtered image is monotonically and positively correlated with the distribution length corresponding to the unmanned aerial vehicle;

[0053] (3) A network alarm device disposed at the ground receiving station and connected to the visualization measurement device is used to, when the analyzed distribution length corresponding to the unmanned aerial vehicle is greater than the length limit corresponding to the no-fly airspace for extra-long aircraft types, transmit the alarm information corresponding to the extra-long aircraft type and the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types to the remote unmanned aerial vehicle control server via the network, thereby realizing the automated status management of the no-fly airspace for extra-long aircraft types.

[0054] Using the big data overrun alarm system based on content segmentation of the present invention, in view of the technical problem that there is a lack of key reference data in the no-fly airspace for ultra-long aircraft types in the prior art, by using network alarm devices at ground positions, when the distributed length of the corresponding UAV obtained by intelligent analysis is greater than the length limit corresponding to the no-fly airspace for ultra-long aircraft types, the alarm information corresponding to the ultra-long aircraft type and the navigation and positioning data corresponding to the airspace are transmitted to the UAV control server through the network together, so as to realize the automatic state management of the no-fly airspace for ultra-long aircraft types.

[0055] Although the content of what is considered to be the preferred embodiment of the present invention has been described, those skilled in the art will recognize that other and further modifications can be made thereto without departing from the spirit of the present invention, and intend to claim the rights to all such embodiments that fall within the true scope of the present invention.

Claims

1. A big data overrun alarm system based on content segmentation, characterized in that, The system includes: a content segmentation device, arranged at a ground receiving station, configured to segment, from a remote sensing image, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace image for output; an inclination correction device, arranged at the ground receiving station and connected to the content segmentation device, configured to perform inclination correction processing on the received remote sensing airspace image to obtain and output a corresponding inclination-corrected image; a direction filtering device, connected to the inclination correction device, configured to perform direction filtering processing on the received inclination-corrected image to obtain and output a corresponding direction-filtered image; a signal filtering device, connected to the direction filtering device, configured to perform adaptive recursive filtering processing on the received direction-filtered image to obtain and output a corresponding customized filtered image; a visualization measurement device, arranged at the ground receiving station and connected to the signal filtering device, the visualization measurement device includes an information capture device, a focal length acquisition device, and a content conversion device, the content conversion device is respectively connected to the information capture device and the focal length acquisition device, the visualization measurement device is configured to record the image block where the unmanned aerial vehicle is located in the customized filtered image, determine the total number of pixel points occupied by the direction of the length in the geometric shape corresponding to the image block where the unmanned aerial vehicle is located, and analyze the distribution length corresponding to the unmanned aerial vehicle based on the total number of pixel points and the imaging focal length of the customized filtered image, and any one of the total number of pixel points and the imaging focal length of the customized filtered image is monotonically and positively correlated with the distribution length corresponding to the unmanned aerial vehicle; a network alarm device, arranged at the ground receiving station and connected to the visualization measurement device, configured to, when the analyzed distribution length corresponding to the unmanned aerial vehicle is greater than the length limit corresponding to the no-fly airspace for extra-long aircraft types, network-transmit the alarm information corresponding to the over-length aircraft type and the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types to a remote unmanned aerial vehicle control server; wherein, the visualization measurement device is configured to record the image block where the unmanned aerial vehicle is located in the customized filtered image, and determining the total number of pixel points occupied by the direction of the length in the geometric shape corresponding to the image block where the unmanned aerial vehicle is located includes: identifying the image block where the unmanned aerial vehicle is located in the customized filtered image based on the color imaging characteristics of the unmanned aerial vehicle; wherein, the content segmentation device, configured to segment, from a remote sensing image, picture content matching the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types as a remote sensing airspace image for output further includes: the content segmentation device includes a data receiving unit, a picture segmentation unit, and a data storage unit, and the picture segmentation unit is respectively connected to the data receiving unit and the data storage unit.

2. The big data over-limit alarm system based on content segmentation according to claim 1, wherein: the network alarm device is further configured to, when the analyzed distribution length corresponding to the unmanned aerial vehicle is less than or equal to the length limit corresponding to the no-fly airspace for extra-long aircraft types, defer network-transmitting the alarm information corresponding to the over-length aircraft type and the navigation and positioning data corresponding to the no-fly airspace for extra-long aircraft types to a remote unmanned aerial vehicle control server; Among them, based on the total number of pixel points and the imaging focal length of the customized filtered image, the distribution length corresponding to the drone is analyzed. The monotonic positive correlation between any one of the total number of pixel points and the imaging focal length of the customized filtered image and the distribution length corresponding to the drone includes: using a numerical conversion function to represent the numerical conversion relationship of the monotonic positive correlation between any one of the total number of pixel points and the imaging focal length of the customized filtered image and the distribution length corresponding to the drone.

3. The big data overrun alarm system based on content segmentation according to claim 2, characterized in that The system further includes: a vibration detection device, which is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device; Among them, the vibration detection device, which is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device, includes: the vibration detection device is used to respectively perform on-site measurement of the body vibration values of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device.

4. The big data overrun alarm system based on content segmentation according to claim 2, characterized in that, The system further includes: a positioning server device, which is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device; Among them, the positioning server device, which is arranged near the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device and is respectively connected to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device, includes: the positioning server device is used to respectively supply on-site the positioning data based on the GPS positioning mechanism for the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device.

5. The big data overrun alarm system based on content segmentation according to any one of claims 2-4, characterized in that: A directional optimization mechanism is used to perform image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processed data respectively corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device.

6. The big data overrun alarm system based on content segmentation according to claim 5, characterized in that: Performing image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device by using a directional optimization mechanism to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing exponential image enhancement on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

7. The big data overrun alarm system based on content segmentation according to claim 5, characterized in that: Performing image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device by using a directional optimization mechanism to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing dynamic range expansion on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

8. The big data overrun alarm system based on content segmentation according to claim 5, characterized in that: Performing image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device by using a directional optimization mechanism to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing curve radian adjustment on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.

9. The big data overrun alarm system based on content segmentation according to claim 5, characterized in that: Performing image data processing on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device by using a directional optimization mechanism to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively includes: performing point image restoration operation on the output data of the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device to obtain the output processing data corresponding to the tilt correction device, the direction filtering device, the signal filtering device, and the visualization measurement device respectively.