Intelligent early warning system based on big data dynamic control

Abstract

The invention relates to an intelligent early warning system based on big data dynamic control, and the system comprises a time-sharing shooting mechanism which is disposed in an airport, and is used for carrying out the time-sharing shooting at uniform intervals for a control tower of the airport in a working state, so as to obtain an on-site shooting image corresponding to each shooting moment; and the early warning execution mechanism is used for executing the safety early warning operation that the airframe is too close to the control tower when the field identification interval between the control tower and the airplane is smaller than or equal to a set interval threshold value, and otherwise, ending the safety early warning operation that the airframe is too close to the control tower. The intelligent early warning system based on big data dynamic control is intelligent in operation and simple and convenient to operate. The early warning execution mechanism is introduced to execute the safety early warning operation that the aircraft body is too close to the control tower when the field identification interval of visual analysis of the control tower and the aircraft is smaller than or equal to the set interval threshold value, otherwise, the execution of the safety early warning operation that the aircraft body is too close to the control tower is ended, and therefore intelligent safety early warning of the state of the control tower is achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent early warning, and more specifically, to an intelligent early warning system based on big data dynamic control. Background Technology

[0002] An air traffic control tower, also known as a control tower, is an air traffic control facility located in an airport, used to control the takeoff and landing of aircraft. The control tower is the tallest building in an airport, its iconic 360-degree glass roof. Inside this glass building, air traffic controllers closely monitor the status of every aircraft within the airport area, flexibly manage runway resources, and continuously and safely bring aircraft to the ground and then safely return them to the skies. They are the overall commanders of air and ground traffic here.

[0003] Civil Aviation Data Communication Co., Ltd. has proposed a data link-based airport tower aircraft pre-release system to address issues such as voice communication channel congestion, voice ambiguity, complex processes, and heavy workloads encountered in voice tower aircraft pre-release services between flight crews and air traffic controllers. The application publication number is CN102255781A. The technical solution includes: an airborne data subsystem for flight crews to send requests and confirmation receipts for obtaining tower aircraft pre-release information, and to receive and display tower aircraft pre-release data and notification data; an air-to-ground wireless communication network connected to the airborne data subsystem for forwarding information between the air and ground; and a ground information processing subsystem connected to the air-to-ground wireless communication network for controllers to send tower aircraft pre-release data and to receive and display tower aircraft pre-release requests and confirmations.

[0004] However, due to the large number of aircraft around the control tower, in cases of inadequate control by the control tower or pilot error, it is easy for aircraft to get too close to the control tower, posing safety hazards to the control tower's visibility and facilities. Currently, there is no sophisticated detection mechanism or early warning scheme for the distance between the control tower and aircraft, making it difficult to effectively eliminate the safety hazards of the control tower. Summary of the Invention

[0005] To address the technical problems in existing technologies, this invention provides an intelligent early warning system based on big data dynamic control. By introducing an early warning execution mechanism, the system performs a safety warning operation when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and terminates the safety warning operation when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold, thereby achieving intelligent safety early warning of the control tower status.

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

[0007] A dynamic control mechanism, connected to the time-sharing camera mechanism, is used to control the time-sharing camera mechanism to enter a working state during airport operating hours and to control the time-sharing camera mechanism to enter a dormant state outside of airport operating hours.

[0008] The time-sharing shooting unit is set up inside the airport to perform time-sharing shooting at even intervals facing the airport tower during operation, so as to obtain the on-site shooting footage corresponding to each shooting moment.

[0009] The sequential processing mechanism includes an embedded processor, a front-end processing device, a mid-end processing device, and a terminal processing device. The mid-end processing device is connected to the front-end processing device and the terminal processing device, respectively. The front-end processing device is also connected to the time-division shooting mechanism and is used to perform image frequency domain enhancement processing on the received on-site captured images to obtain and output the corresponding real-time enhanced images. The mid-end processing device is used to perform bilateral filtering processing on the received real-time enhanced images to obtain and output the corresponding bilateral filtered images. The terminal processing device is used to perform FR tower NGI filtering processing on the received bilateral filtered images to obtain and output the corresponding instantaneous filtered images.

[0010] A status detection mechanism, located inside the airport and connected to the successive processing mechanism, is used to identify image blocks corresponding to the control tower and the aircraft respectively from the received real-time filtered images based on their respective imaging characteristics. These blocks are then output as first image blocks and second image blocks respectively. Each constituent pixel of the first image block is used as a first pixel, and each constituent pixel of the second image block is used as a second pixel. The number of pixels between two pixels in any combination of first and second pixels is obtained to determine the entity distance corresponding to any combination of first and second pixels. The entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels is output as the on-site identification interval of the control tower and the aircraft.

[0011] The warning execution mechanism, connected to the status detection mechanism, is used to execute a safety warning operation for the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation for the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold.

[0012] The intelligent early warning system based on big data dynamic control of the present invention is intelligent in operation and simple to use. By introducing an early warning execution mechanism, when the on-site identification interval between the tower and the aircraft in the visual analysis is less than or equal to a set interval threshold, a safety early warning operation is performed to indicate that the aircraft is too close to the tower; otherwise, the operation is terminated, thereby achieving intelligent safety early warning of the tower's status. Detailed Implementation

[0013] The following is a detailed description of the implementation scheme of the intelligent early warning system based on big data dynamic control of the present invention.

[0014] First Embodiment

[0015] The intelligent early warning system based on big data dynamic control according to the first embodiment of the present invention includes:

[0016] A dynamic control mechanism, connected to the time-sharing camera mechanism, is used to control the time-sharing camera mechanism to enter a working state during airport operating hours and to control the time-sharing camera mechanism to enter a dormant state outside of airport operating hours.

[0017] For example, the dynamic control mechanism includes a time determination unit and a state switching unit, wherein the state switching unit is connected to the time determination unit and is used to determine whether to enter a working state or a sleep state;

[0018] The time-sharing shooting unit is set up inside the airport to perform time-sharing shooting at even intervals facing the airport tower during operation, so as to obtain the on-site shooting footage corresponding to each shooting moment.

[0019] The sequential processing mechanism includes an embedded processor, a front-end processing device, a mid-end processing device, and a terminal processing device. The mid-end processing device is connected to the front-end processing device and the terminal processing device, respectively. The front-end processing device is also connected to the time-division shooting mechanism and is used to perform image frequency domain enhancement processing on the received on-site captured images to obtain and output the corresponding real-time enhanced images. The mid-end processing device is used to perform bilateral filtering processing on the received real-time enhanced images to obtain and output the corresponding bilateral filtered images. The terminal processing device is used to perform FR tower NGI filtering processing on the received bilateral filtered images to obtain and output the corresponding instantaneous filtered images.

[0020] A status detection mechanism, located inside the airport and connected to the successive processing mechanism, is used to identify image blocks corresponding to the control tower and the aircraft respectively from the received real-time filtered images based on their respective imaging characteristics. These blocks are then output as first image blocks and second image blocks respectively. Each constituent pixel of the first image block is used as a first pixel, and each constituent pixel of the second image block is used as a second pixel. The number of pixels between two pixels in any combination of first and second pixels is obtained to determine the entity distance corresponding to any combination of first and second pixels. The entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels is output as the on-site identification interval of the control tower and the aircraft.

[0021] The warning execution mechanism is connected to the status detection mechanism and is used to perform a safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold.

[0022] The step of identifying image blocks corresponding to the control tower and the aircraft respectively from the received instant filtered image based on their respective imaging features and outputting them as the first image block and the second image block respectively includes: identifying the image block corresponding to the control tower from the received instant filtered image based on the standard outline of the control tower and outputting it as the first image block.

[0023] Second Embodiment

[0024] The intelligent early warning system based on big data dynamic control according to the second embodiment of the present invention includes the following components:

[0025] A dynamic control mechanism, connected to the time-sharing camera mechanism, is used to control the time-sharing camera mechanism to enter a working state during airport operating hours and to control the time-sharing camera mechanism to enter a dormant state outside of airport operating hours.

[0026] The time-sharing shooting unit is set up inside the airport to perform time-sharing shooting at even intervals facing the airport tower during operation, so as to obtain the on-site shooting footage corresponding to each shooting moment.

[0027] The sequential processing mechanism includes an embedded processor, a front-end processing device, a mid-end processing device, and a terminal processing device. The mid-end processing device is connected to the front-end processing device and the terminal processing device, respectively. The front-end processing device is also connected to the time-division shooting mechanism and is used to perform image frequency domain enhancement processing on the received on-site captured images to obtain and output the corresponding real-time enhanced images. The mid-end processing device is used to perform bilateral filtering processing on the received real-time enhanced images to obtain and output the corresponding bilateral filtered images. The terminal processing device is used to perform FR tower NGI filtering processing on the received bilateral filtered images to obtain and output the corresponding instantaneous filtered images.

[0028] A status detection mechanism, located inside the airport and connected to the successive processing mechanism, is used to identify image blocks corresponding to the control tower and the aircraft respectively from the received real-time filtered images based on their respective imaging characteristics. These blocks are then output as first image blocks and second image blocks respectively. Each constituent pixel of the first image block is used as a first pixel, and each constituent pixel of the second image block is used as a second pixel. The number of pixels between two pixels in any combination of first and second pixels is obtained to determine the entity distance corresponding to any combination of first and second pixels. The entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels is output as the on-site identification interval of the control tower and the aircraft.

[0029] The warning execution mechanism is connected to the status detection mechanism and is used to perform a safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold.

[0030] An ASIC control chip is connected to an embedded processor, a front-end processing device, a mid-end processing device, and a back-end processing device, respectively, and is used to provide configuration operations of working parameters for the embedded processor, the front-end processing device, the mid-end processing device, and the back-end processing device in a time-sharing manner.

[0031] The ASIC control chip is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide configuration operations for working parameters of the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. The configuration operations include: the embedded processor, front-end processing device, mid-end processing device and end-end processing device share the same working parameter configuration interface.

[0032] Among them, the embedded processor, front-end processing device, mid-end processing device and end-end processing device use different configuration address data;

[0033] Among them, the embedded processor, front-end processing device, mid-end processing device and end-end processing device communicate in parallel data through parallel data interfaces;

[0034] Parallel connections are established between each pair of embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices via parallel data buses;

[0035] The parallel connection established between each pair of embedded processors, front-end processing devices, mid-end processing devices, and end-end processing devices via a parallel data bus includes: the parallel data bus being one of an 8-bit parallel data bus, a 16-bit parallel data bus, and a 32-bit parallel data bus.

[0036] Third Embodiment

[0037] The intelligent early warning system based on big data dynamic control according to the third embodiment of the present invention includes the following components:

[0038] A dynamic control mechanism, connected to the time-sharing camera mechanism, is used to control the time-sharing camera mechanism to enter a working state during airport operating hours and to control the time-sharing camera mechanism to enter a dormant state outside of airport operating hours.

[0039] The time-sharing shooting unit is set up inside the airport to perform time-sharing shooting at even intervals facing the airport tower during operation, so as to obtain the on-site shooting footage corresponding to each shooting moment.

[0040] The sequential processing mechanism includes an embedded processor, a front-end processing device, a mid-end processing device, and a terminal processing device. The mid-end processing device is connected to the front-end processing device and the terminal processing device, respectively. The front-end processing device is also connected to the time-division shooting mechanism and is used to perform image frequency domain enhancement processing on the received on-site captured images to obtain and output the corresponding real-time enhanced images. The mid-end processing device is used to perform bilateral filtering processing on the received real-time enhanced images to obtain and output the corresponding bilateral filtered images. The terminal processing device is used to perform FR tower NGI filtering processing on the received bilateral filtered images to obtain and output the corresponding instantaneous filtered images.

[0041] A status detection mechanism, located inside the airport and connected to the successive processing mechanism, is used to identify image blocks corresponding to the control tower and the aircraft respectively from the received real-time filtered images based on their respective imaging characteristics. These blocks are then output as first image blocks and second image blocks respectively. Each constituent pixel of the first image block is used as a first pixel, and each constituent pixel of the second image block is used as a second pixel. The number of pixels between two pixels in any combination of first and second pixels is obtained to determine the entity distance corresponding to any combination of first and second pixels. The entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels is output as the on-site identification interval of the control tower and the aircraft.

[0042] The warning execution mechanism is connected to the status detection mechanism and is used to perform a safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation on the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold.

[0043] Power support devices are connected to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices respectively, and are used to provide power distribution support with different operating voltages to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices in a time-sharing manner.

[0044] Among them, the power support device is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide power distribution support with different operating voltages for the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. This includes: two or more devices among the embedded processor, front-end processing device, mid-end processing device and end-end processing device that have the same operating voltage requirement using the same power supply line.

[0045] The power support device is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide power distribution support with different operating voltages to the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. It also includes: the power support device is an uninterruptible power supply device.

[0046] Among them, the power support device is connected to the embedded processor, the front-end processing device, the middle-end processing device and the terminal processing device respectively, and is used to provide power distribution support for the embedded processor, the front-end processing device, the middle-end processing device and the terminal processing device to different operating voltages in a time-sharing manner. It also includes providing different operating voltages, including a 3.3V operating voltage, for the embedded processor, the front-end processing device, the middle-end processing device and the terminal processing device in a time-sharing manner.

[0047] Among them, the power support device is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide power distribution support for the embedded processor, front-end processing device, mid-end processing device and end-end processing device to different operating voltages in a time-sharing manner. It also includes providing different operating voltages, including 5V operating voltage, for the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner.

[0048] In addition, in the intelligent early warning system based on big data dynamic control, the process of identifying image blocks corresponding to the tower and the aircraft respectively from the received real-time filtered images based on the imaging characteristics of the tower and the aircraft, and outputting them as the first image block and the second image block respectively, further includes: identifying the image block corresponding to the aircraft from the received real-time filtered images based on the standard outline of the aircraft, and outputting it as the first image block.

[0049] Therefore, the present invention has at least the following three beneficial technical effects:

[0050] Technical Effect A: Based on the imaging characteristics of the control tower and the aircraft respectively, the image blocks corresponding to the control tower and the aircraft are identified from the received real-time filtered images and output as the first image block and the second image block respectively. Each constituent pixel of the first image block is used as the first pixel, and each constituent pixel of the second image block is used as the second pixel.

[0051] Technical Effect B: Obtain the number of interval pixels between two pixels in any combination of first and second pixels to determine the entity distance corresponding to any combination of first and second pixels. Take the entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels as the on-site identification interval output of the control tower and the aircraft.

[0052] Technical Effect C: The introduction of an early warning execution mechanism is used to perform a safety warning operation when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold, thereby realizing intelligent safety warning of the control tower status.

[0053] In the description of this specification, references to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example that is included in at least one embodiment or example of the present invention.

[0054] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0055] While the present invention has been disclosed above with reference to embodiments, it is not intended to limit the invention. Anyone skilled in the art should be able to make appropriate modifications and equivalent substitutions without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be determined by the scope defined in the claims of this application.

Claims

1. An intelligent early warning system based on big data dynamic control, characterized in that, The system includes: A dynamic control mechanism, connected to the time-sharing camera mechanism, is used to control the time-sharing camera mechanism to enter a working state during airport operating hours and to control the time-sharing camera mechanism to enter a dormant state outside of airport operating hours. The time-sharing shooting unit is set up inside the airport to perform time-sharing shooting at even intervals facing the airport tower during operation, so as to obtain the on-site shooting footage corresponding to each shooting moment. The sequential processing mechanism includes an embedded processor, a front-end processing device, a mid-end processing device, and a terminal processing device. The mid-end processing device is connected to the front-end processing device and the terminal processing device, respectively. The front-end processing device is also connected to the time-division shooting mechanism and is used to perform image frequency domain enhancement processing on the received on-site captured images to obtain and output the corresponding real-time enhanced images. The mid-end processing device is used to perform bilateral filtering processing on the received real-time enhanced images to obtain and output the corresponding bilateral filtered images. The terminal processing device is used to perform FR tower NGI filtering processing on the received bilateral filtered images to obtain and output the corresponding instantaneous filtered images. A status detection mechanism, located inside the airport and connected to the successive processing mechanism, is used to identify image blocks corresponding to the control tower and the aircraft respectively from the received real-time filtered images based on their respective imaging characteristics. These blocks are then output as first image blocks and second image blocks respectively. Each constituent pixel of the first image block is used as a first pixel, and each constituent pixel of the second image block is used as a second pixel. The number of pixels between two pixels in any combination of first and second pixels is obtained to determine the entity distance corresponding to any combination of first and second pixels. The entity distance with the smallest value among the entity distances corresponding to each combination of first and second pixels is output as the on-site identification interval of the control tower and the aircraft. The warning execution mechanism, connected to the status detection mechanism, is used to execute a safety warning operation for the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is less than or equal to a set interval threshold, and to terminate the execution of the safety warning operation for the aircraft being too close to the control tower when the on-site identification interval between the control tower and the aircraft is greater than the set interval threshold.

2. The intelligent early warning system based on big data dynamic control as described in claim 1, characterized in that: Based on the imaging characteristics of the control tower and the aircraft, image blocks corresponding to the control tower and the aircraft are identified from the received instant filtered images and output as the first image block and the second image block, respectively. This includes: identifying the image block corresponding to the control tower from the received instant filtered images based on the standard outline of the control tower and outputting it as the first image block.

3. The intelligent early warning system based on big data dynamic control as described in claim 2, characterized in that, The system also includes: An ASIC control chip is connected to an embedded processor, a front-end processing device, a mid-end processing device, and a back-end processing device, respectively, and is used to provide configuration operations of working parameters for the embedded processor, the front-end processing device, the mid-end processing device, and the back-end processing device in a time-sharing manner. The ASIC control chip is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide configuration operations of working parameters for the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. This includes the embedded processor, front-end processing device, mid-end processing device and end-end processing device sharing the same working parameter configuration interface.

4. The intelligent early warning system based on big data dynamic control as described in claim 3, characterized in that: Embedded processors, front-end processing devices, mid-end processing devices, and back-end processing devices use different configuration address data; Among them, the embedded processor, front-end processing device, mid-end processing device and end-end processing device communicate in parallel through parallel data interfaces.

5. The intelligent early warning system based on big data dynamic control as described in claim 3, characterized in that: Parallel connections are established between each pair of embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices via parallel data buses; The parallel connection established between each pair of embedded processors, front-end processing devices, mid-end processing devices, and end-end processing devices via a parallel data bus includes: the parallel data bus being one of an 8-bit parallel data bus, a 16-bit parallel data bus, and a 32-bit parallel data bus.

6. The intelligent early warning system based on big data dynamic control as described in claim 2, characterized in that, The system also includes: Power support devices are connected to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices respectively, and are used to provide power distribution support with different operating voltages to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices in a time-sharing manner. Among them, the power support device is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide power distribution support with different operating voltages for the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. This includes: two or more devices among the embedded processor, front-end processing device, mid-end processing device and end-end processing device that have the same operating voltage requirement using the same power supply line.

7. The intelligent early warning system based on big data dynamic control as described in claim 6, characterized in that: The power support device is connected to the embedded processor, front-end processing device, mid-end processing device and end-end processing device respectively, and is used to provide power distribution support for the embedded processor, front-end processing device, mid-end processing device and end-end processing device in a time-sharing manner. It also includes: the power support device is an uninterruptible power supply device.

8. The intelligent early warning system based on big data dynamic control as described in claim 7, characterized in that: Power support devices, connected to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices respectively, are used to provide power distribution support for embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices in a time-sharing manner. This also includes providing different operating voltages, including a 3.3V operating voltage, for embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices in a time-sharing manner.

9. The intelligent early warning system based on big data dynamic control as described in claim 8, characterized in that: Power support devices, connected to embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices respectively, are used to provide power distribution support for embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices at different times. This also includes providing different operating voltages, including 5V, for embedded processors, front-end processing devices, mid-end processing devices, and terminal processing devices at different times.