CN-121982938-A - Intelligent early warning system based on big data dynamic control

CN121982938ACN 121982938 ACN121982938 ACN 121982938ACN-121982938-A

Abstract

The invention relates to an intelligent early warning system based on big data dynamic control, which comprises a time-sharing shooting mechanism, an early warning executing mechanism and an early warning executing mechanism, wherein the time-sharing shooting mechanism is arranged in an airport and used for executing time-sharing shooting at uniform intervals on a tower table of the airport in a working state so as to obtain a field shooting picture corresponding to each shooting moment, and the early warning executing mechanism is used for executing safety early warning operation of too close of an engine body to the tower table when the field identification interval between the tower table and an airplane is smaller than or equal to a set interval threshold value, otherwise, ending executing the safety early warning operation of too close of the engine body to the tower table. The intelligent early warning system based on big data dynamic control is intelligent in operation and simple and convenient to operate. And the early warning executing mechanism is used for executing the safety early warning operation of the machine body too close to the tower when the visual analysis on-site identification interval of the tower and the airplane is smaller than or equal to the set interval threshold value, otherwise, ending executing the safety early warning operation of the machine body too close to the tower, thereby realizing intelligent safety early warning of the state of the tower.

Inventors

Zhao Anmiao
WANG XIUZHI

Assignees

南京承琛速易科技有限公司

Dates

Publication Date: 20260505
Application Date: 20231215

Claims (9)

1. An intelligent early warning system based on big data dynamic control, which is characterized by comprising: The dynamic control mechanism is connected with the time-sharing shooting mechanism and is used for controlling the time-sharing shooting mechanism to enter a working state in an airport operation time period and controlling the time-sharing shooting mechanism to enter a dormant state outside the airport operation time period; The time-sharing shooting mechanism is arranged inside the airport and is used for carrying out time-sharing shooting at uniform intervals on a tower table facing the airport in a working state so as to obtain a field shooting picture corresponding to each shooting moment; The successive processing mechanism comprises an embedded processor, front-end processing equipment, middle-end processing equipment and tail-end processing equipment, wherein the middle-end processing equipment is respectively connected with the front-end processing equipment and the tail-end processing equipment, the front-end processing equipment is also connected with the time-sharing shooting mechanism and is used for performing image frequency domain enhancement processing on a received field shooting picture so as to obtain and output a corresponding real-time enhancement image, the middle-end processing equipment is used for performing bilateral filtering processing on the received real-time enhancement image so as to obtain and output a corresponding bilateral filtering image, and the tail-end processing equipment is used for performing FR (field of view) NGI (Next Generation) filtering processing on the received bilateral filtering image so as to obtain and output a corresponding instant filtering image; The state detection mechanism is arranged in the airport and connected with the successive processing mechanism, and is used for identifying image blocks corresponding to the tower and the airplane respectively from the received instant filtered images based on imaging characteristics of the tower and the airplane respectively, outputting the image blocks as first image blocks and second image blocks respectively, taking each forming pixel point of the first image blocks as each first pixel point, taking each forming pixel point of the second image blocks as each second pixel point, acquiring the number of the interval pixels of two pixels in any first pixel point second pixel point combination to determine the entity distance corresponding to any first pixel point second pixel point combination, and taking the entity distance with the smallest numerical value in each entity distance corresponding to each first pixel point second pixel point combination as the site identification interval output of the tower and the airplane; The early warning executing mechanism is connected with the state detecting mechanism and is used for executing the safety early warning operation of the machine body being too close to the tower when the on-site identification interval of the tower and the airplane is smaller than or equal to a set interval threshold value, and ending executing the safety early warning operation of the machine body being too close to the tower when the on-site identification interval of the tower and the airplane is larger than the set interval threshold value.
2. The intelligent pre-warning system based on big data dynamic control of claim 1, wherein: Identifying, from the received live filtered image, respectively, image segments corresponding to the turret and the aircraft based on respective imaging characteristics of the turret and the aircraft, respectively, for output as first and second image segments, respectively, includes identifying, from the received live filtered image, image segments corresponding to the turret based on a standard outline corresponding to the turret, for output as first image segments.
3. The intelligent pre-warning system based on big data dynamic control of claim 2, wherein the system further comprises: The ASIC control chip is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing configuration operation of working parameters for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode; The ASIC control chip is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing working parameters for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time sharing mode.
4. The intelligent pre-warning system based on big data dynamic control of claim 3, wherein: the embedded processor, the front-end processing device, the middle-end processing device and the tail-end processing device adopt different configuration address data; The embedded processor, the front-end processing device, the middle-end processing device and the tail-end processing device are in parallel data communication through parallel data interfaces.
5. The intelligent pre-warning system based on big data dynamic control of claim 3, wherein: Parallel connection of communication data links is established between the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment through parallel data buses; The parallel connection of the communication data links between the embedded processor, the front-end processing device, the middle-end processing device and the tail-end processing device through the parallel data buses comprises the step of setting the parallel data buses to be one of 8-bit parallel data buses, 16-bit parallel data buses and 32-bit parallel data buses.
6. The intelligent pre-warning system based on big data dynamic control of claim 2, wherein the system further comprises: The power support device is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing power distribution support of different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode; the power support device is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing power distribution support of different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode.
7. The intelligent pre-warning system based on big data dynamic control of claim 6, wherein: the power support device is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing power distribution support of different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode.
8. The intelligent pre-warning system based on big data dynamic control of claim 7, wherein: the power support device is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing power distribution support of different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time sharing mode, and the power distribution support device also comprises the power distribution support device which is used for providing different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time sharing mode, wherein the different working voltages comprise 3.3V working voltages.
9. The intelligent pre-warning system based on big data dynamic control of claim 8, wherein: The power support device is respectively connected with the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment and is used for providing power distribution support of different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode, and the power support device also comprises a power distribution support device which is used for providing different working voltages for the embedded processor, the front-end processing equipment, the middle-end processing equipment and the tail-end processing equipment in a time-sharing mode, wherein the power distribution support device comprises 5V working voltages.

Description

Intelligent early warning system based on big data dynamic control Technical Field The invention relates to the field of intelligent early warning, in particular to an intelligent early warning system based on big data dynamic control. Background A tower or control tower is an air transportation control facility arranged in an airport and is used for controlling the take-off and landing of an aircraft. The tower is the highest building in an airport, and the 360-degree glass house on the top layer is the sign thereof. In this glass house, air traffic controllers are concerned with the status of each aircraft in the airport area, flexibly manage runway resources, safely connect all-terrain aircraft to the ground without interruption, and safely send all-terrain aircraft to the sky. As they are the overall directors of air and ground traffic here. The technical scheme includes that the air data subsystem is used for the unit to send a request and a confirmation receipt data of the pre-release information of the tower plane to be acquired and receive and display the pre-release data and the notification data, the air-to-ground wireless communication network is connected with the air data subsystem and used for forwarding information between the air and ground, and the ground information processing subsystem is connected with the air-to-ground wireless communication network and used for the controller to send the pre-release data of the tower plane and receive and display the pre-release request and the confirmation of the tower plane. However, due to the fact that the number of the airplanes around the tower is large, under the condition that the control of the tower is not enough or the flight control of a driver is wrong, the situation that the airplanes are too close to the tower is easily caused, potential safety hazards are caused to the visual field of the tower and the facility safety of the tower, a detection mechanism and an early warning scheme for the fine distance between the two airplanes of the tower are not available in the prior art, and the potential safety hazards of the tower are difficult to effectively eliminate. Disclosure of Invention In order to solve the technical problems in the prior art, the invention provides an intelligent early warning system based on big data dynamic control, which is used for executing the safety early warning operation of the machine body too close to a tower when the field identification interval of visual analysis of the tower and an airplane is smaller than or equal to a set interval threshold value and ending executing the safety early warning operation of the machine body too close to the tower when the field identification interval of the tower and the airplane is larger than the set interval threshold value, thereby realizing intelligent safety early warning of the state of the tower. According to the invention, the system comprises: The dynamic control mechanism is connected with the time-sharing shooting mechanism and is used for controlling the time-sharing shooting mechanism to enter a working state in an airport operation time period and controlling the time-sharing shooting mechanism to enter a dormant state outside the airport operation time period; The time-sharing shooting mechanism is arranged inside the airport and is used for carrying out time-sharing shooting at uniform intervals on a tower table facing the airport in a working state so as to obtain a field shooting picture corresponding to each shooting moment; The successive processing mechanism comprises an embedded processor, front-end processing equipment, middle-end processing equipment and tail-end processing equipment, wherein the middle-end processing equipment is respectively connected with the front-end processing equipment and the tail-end processing equipment, the front-end processing equipment is also connected with the time-sharing shooting mechanism and is used for performing image frequency domain enhancement processing on a received field shooting picture so as to obtain and output a corresponding real-time enhancement image, the middle-end processing equipment is used for performing bilateral filtering processing on the received real-time enhancement image so as to obtain and output a corresponding bilateral filtering image, and the tail-end processing equipment is used for performing FR (field of view) NGI (Next Generation) filtering processing on the received bilateral filtering image so as to obtain and output a corresponding instant filtering image; The state detection mechanism is arranged in the airport and connected with the successive processing mechanism, and is used for identifying image blocks corresponding to the tower and the airplane respectively from the received instant filtered images based on imaging characteristics of the tower and the airplane respectively, outputting the image blocks as first image blocks and second image blocks respectively, taking e