Airport runway anti-intrusion early warning control method and system

Abstract

The invention relates to an airport runway anti-intrusion early warning control method and system. The airport runway anti-intrusion early warning control method comprises the steps of S1, collecting a laser point cloud image signal and a high-definition image picture of an airport runway; s2, identifying the collected laser point cloud image signal of the airport runway through a computer, and judging whether a risk that a moving object enters the airport runway exists or not; s3, the computer calls a corresponding high-definition image with the risk that the moving object enters the airport runway according to the alarm information, identifies the high-definition image and confirms whether the moving object illegally invades the airport runway or not; and S4, processing the moving objects illegally invading the airport runway. Therefore, airport runway intrusion is effectively prevented, and the timeliness of early warning and processing of airport traffic guarantee is improved, so that the safety of taking off and landing of airplanes is improved and guaranteed, and the safety level of airport operation is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of aircraft control, and in particular relates to an airport runway anti-intrusion early warning control method and system. Background Art

[0002] At present, the operation of domestic and foreign airports must ensure that the airport runway is under monitoring to avoid accidents caused by non-intrusion of the airport runway. However, runway intrusion incidents occur every year in the aviation industry around the world, which shows that the monitoring ability of existing airports on runways is low, thus reducing the safety of aircraft takeoff and landing, as well as the safety level of airport operations. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides an airport runway anti-intrusion warning control method.

[0004] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0005] In a first aspect, an airport runway anti-intrusion early warning control method according to the present invention comprises:

[0006] S1. Collect laser point cloud image signals and high-definition images of the airport runway;

[0007] S2. Identify the collected laser point cloud image signals of the airport runway through a computer to determine whether there is a risk of a moving object entering the airport runway;

[0008] If yes, an alarm message is issued and step S3 is executed:

[0009] If no, proceed to step S1;

[0010] S3. Based on the warning information, the computer retrieves the corresponding high-definition image of the risk of a moving object entering the airport runway, and identifies the high-definition image to confirm whether there is a moving object illegally intruding the airport runway;

[0011] If yes, proceed to step S4;

[0012] If no, the alarm is cleared and step S1 is executed;

[0013] S4. Take action against moving objects that illegally intrude into the airport runway.

[0014] Furthermore, in step S1, collecting the laser point cloud image signal of the airport runway includes:

[0015] A plurality of laser emitters are arranged in a row on the airport runway, and the laser pulse signals emitted by the laser emitters arranged in a row together constitute a scanning plane, scanning the airport runway and the surroundings 360° and 15° up and down;

[0016] The laser receiver receives the laser echo signals of all laser transmitters, forms a laser point cloud image signal, and transmits it to the computer.

[0017] Furthermore, in step S1, the collecting of high-definition images of the airport runway is specifically: using a high-definition PTZ camera to shoot the real-time status of high-definition images of the airport runway and the connecting road, and transmitting them to a computer.

[0018] Further, in step S2, the collected laser point cloud image signal of the airport runway is identified by a computer to determine whether there is a risk of a moving object entering the airport runway, specifically:

[0019] S2-1. The computer receives the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image, which is defined as the first laser point cloud image;

[0020] S2-2. The computer continues to receive the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image, which is defined as the second laser point cloud image;

[0021] S2-3. Compare the first laser point cloud image with the second laser point cloud image, and determine whether there is a risk of a moving object entering the airport runway based on the difference between the first laser point cloud image and the second laser point cloud image.

[0022] Furthermore, in step S2-3, the computer first performs point cloud segmentation on the first laser point cloud image and the second laser point cloud image to divide them into different parts or objects; then performs edge detection on the segmented parts or objects to identify the contours of each part or object; finally, the contours of each part or object in the first laser point cloud image are compared with the contours of the corresponding parts or objects in the second laser point cloud image. If there is a difference, it is determined that a moving object has entered the airport runway and there is a risk. If there is no difference, it is determined that no moving object has entered the airport runway and there is no risk.

[0023] Furthermore, the segmentation algorithm for performing point cloud segmentation on the first laser point cloud image and the second laser point cloud image includes region-based segmentation, geometry-based segmentation, and deep learning-based segmentation.

[0024] Furthermore, the processing of the moving object that illegally invades the airport runway is specifically: the computer sends a processing notice to the airport staff, including suspending the use of the airport runway and removing the moving object that illegally invades the airport runway.

[0025] Furthermore, a high-definition pan-tilt camera is arranged directly above the laser transmitter to capture 360° no-blind-angle images of the airport runway and connecting road conditions. The high-definition pan-tilt camera has optical zoom, digital zoom, infrared functions and intelligent recognition functions for objects passing on the runway.

[0026] In a second aspect, the airport runway anti-intrusion warning control system of the present invention comprises:

[0027] Laser transmitters are used to collect laser point cloud image signals of the airport runway. They are arranged in rows on the airport runway and have the functions of scanning 360° all around and 15° up and down. The laser pulse signals emitted by the laser transmitters arranged in a row together constitute a scanning plane.

[0028] High-definition PTZ camera, used to collect high-definition images of airport runways, with 360° all-round shooting, optical zoom, digital zoom, infrared function and intelligent recognition of objects on the runway;

[0029] A computer is used to identify the collected laser point cloud image signals of the airport runway, determine whether there is a risk of a moving object entering the airport runway, and when there is a risk of a moving object entering the airport runway, retrieve a corresponding high-definition image screen of the risk of a moving object entering the airport runway, and identify the high-definition image screen to confirm whether there is a moving object illegally intruding the airport runway, and when it is confirmed that there is a moving object illegally intruding the airport runway, issue a handling notice to airport staff;

[0030] A memory device for storing laser point cloud image signal data and high-definition image data of the airport runway, as well as risk handling records of moving objects entering the airport runway;

[0031] Moreover, the laser transmitter, high-definition PTZ camera and memory are connected to a computer.

[0032] Beneficial effects of the present invention:

[0033] The above technical scheme of the present invention can monitor the safety of airport runways, effectively prevent airport runway intrusions, improve the timeliness of airport ground support warnings and processing, thereby improving and ensuring the safety of aircraft take-off and landing, and improving the safety level of airport operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of the airport runway anti-intrusion early warning control method of the present invention;

[0035] Figure 2 It is a structural schematic block diagram of the airport runway anti-intrusion warning control system of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and 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.

[0037] like Figure 1 As shown, the airport runway anti-intrusion early warning control method described in the present invention includes the following steps:

[0038] Step S1. Collect laser point cloud image signals and high-definition image pictures of the airport runway.

[0039] In one practicable manner, the method of collecting laser point cloud image signals of an airport runway includes: (1) a plurality of laser transmitters are arranged in a row on the airport runway, and the laser pulse signals emitted by the laser transmitters arranged in a row together constitute a scanning plane, respectively scanning the airport runway and its surroundings 360° and 15° up and down; (2) receiving laser echo signals of all laser transmitters through a laser receiver, forming a laser point cloud image signal, and transmitting the signal to a computer;

[0040] The collecting of high-definition images of the airport runway is specifically: using a high-definition PTZ camera to shoot the real-time status of the high-definition images of the airport runway and the connecting road, and transmitting them to the computer. More specifically, the high-definition PTZ camera is arranged directly above the laser transmitter to shoot the status of the airport runway and the connecting road at 360° without blind spots, and the high-definition PTZ camera has optical zoom, digital zoom, infrared function and intelligent recognition function of objects passing on the runway.

[0041] Step S2. Using a computer to identify the collected laser point cloud image signal of the airport runway, determine whether there is a risk of a moving object entering the airport runway;

[0042] If yes, an alarm message is issued and step S3 is executed:

[0043] If no, proceed to step S1;

[0044] The method of identifying the collected laser point cloud image signals of the airport runway by a computer to determine whether there is a risk of a moving object entering the airport runway is specifically as follows:

[0045] S2-1. The computer receives the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image (specifically, the laser point cloud image signal is first filtered and amplified, and then converted into a laser point cloud image for display), and the laser point cloud image is defined as a first laser point cloud image;

[0046] S2-2. The computer continues to receive the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image (specifically, the laser point cloud image signal is first filtered and amplified, and then converted into a laser point cloud image for display), and the laser point cloud image is defined as the second laser point cloud image;

[0047] S2-3. Compare the first laser point cloud image with the second laser point cloud image, and judge whether there is a risk of a moving object entering the airport runway by the difference between the first laser point cloud image and the second laser point cloud image; specifically: the computer first performs point cloud segmentation on the first laser point cloud image and the second laser point cloud image to divide them into different parts or objects; then edge detection is performed on each segmented part or object to identify the contour of each part or object, wherein if the identified object contour is determined to be an airplane, it is marked with an airplane icon on the computer display screen, and vehicles and personnel are also displayed as corresponding similar icons, so that the intelligently recognized image is easy for the on-duty personnel to distinguish; finally, the contours of each part or object of the first laser point cloud image are compared with the contours of the corresponding parts or objects in the second laser point cloud image. If there is a difference, it is determined that there is a moving object entering the airport runway and there is a risk; if there is no difference, it is determined that there is no moving object entering the airport runway and there is no risk; wherein the segmentation algorithm for performing point cloud segmentation on the first laser point cloud image and the second laser point cloud image includes region-based segmentation, geometry-based segmentation, and deep learning-based segmentation.

[0048] Step S3. The computer retrieves the corresponding high-definition image of the risk of a moving object entering the airport runway according to the warning information, and identifies the high-definition image to confirm whether there is a moving object illegally intruding the airport runway;

[0049] If yes, proceed to step S4;

[0050] If no, the alarm is cleared and step S1 is executed;

[0051] Step S4. Processing the moving object that illegally intrudes the airport runway, specifically: the computer sends a processing notice to the airport staff, including suspending the use of the airport runway and removing the moving object that illegally intrudes the airport runway.

[0052] By means of the airport runway anti-intrusion warning control method of the present invention, the safety of the airport runway can be monitored, and intrusion into the airport runway can be effectively prevented, thereby improving the timeliness of the airport field support warning and processing, thereby improving and ensuring the safety of aircraft take-off and landing, and improving the safety level of airport operations.

[0053] like Figure 2 As shown, the system of the airport runway anti-intrusion warning control method of the present invention includes a laser transmitter 100, a high-definition pan-tilt camera 200, a computer 300 and a memory 400, wherein the laser transmitter 100, the high-definition pan-tilt camera 200 and the memory 400 are connected to the computer 300.

[0054] The laser transmitter 100 is used to collect laser point cloud image signals of the airport runway, and is arranged in a row on the airport runway, and has a 360° scanning function around and 15° up and down, and the laser pulse signals emitted by the laser transmitters arranged in a row together constitute a scanning plane; the high-definition pan-tilt camera 200 is used to collect high-definition images of the airport runway, and has 360° no-dead-angle shooting, optical zoom, digital zoom, infrared function and intelligent recognition function of objects passing on the runway; the computer 300 is used to identify the collected laser point cloud image signals of the airport runway, determine whether there is a risk of a moving object entering the airport runway, and when there is a risk of a moving object entering the airport runway, retrieve the corresponding high-definition image screen with the risk of a moving object entering the airport runway, and identify the high-definition image screen to confirm whether there is a moving object illegally intruding the airport runway, and when it is confirmed that a moving object has illegally intruded the airport runway, send a processing notice to the airport staff; the memory 400 is used to store the laser point cloud image signal data and high-definition image screen data of the airport runway, as well as the risk processing record of the moving object entering the airport runway.

[0055] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. An airport runway anti-intrusion early warning control method, characterized in that: include: S1. Collect laser point cloud image signals and high-definition images of the airport runway; S2. Identify the collected laser point cloud image signals of the airport runway through a computer to determine whether there is a risk of a moving object entering the airport runway; If yes, an alarm message is issued and step S3 is executed: If no, proceed to step S1; S3. Based on the warning information, the computer retrieves the corresponding high-definition image of the risk of a moving object entering the airport runway, and identifies the high-definition image to confirm whether there is a moving object illegally intruding the airport runway; If yes, proceed to step S4; If no, the alarm is cleared and step S1 is executed; S4. Take action against moving objects that illegally intrude into the airport runway.

2. The method according to claim 1, characterized in that In step S1, collecting the laser point cloud image signal of the airport runway includes: A plurality of laser emitters are arranged in a row on the airport runway, and the laser pulse signals emitted by the laser emitters arranged in a row together constitute a scanning plane, scanning the airport runway and the surroundings 360° and 15° up and down; The laser receiver receives the laser echo signals of all laser transmitters, forms a laser point cloud image signal, and transmits it to the computer.

3. The method according to claim 2, characterized in that In step S1, the high-definition image of the airport runway is collected, specifically, by shooting the real-time status of the high-definition image of the airport runway and the connecting road by a high-definition pan-tilt camera, and transmitting the real-time status to a computer.

4. The method according to any one of claims 1 to 3, characterized in that: In step S2, the collected laser point cloud image signal of the airport runway is identified by a computer to determine whether there is a risk of a moving object entering the airport runway, specifically: S2-1. The computer receives the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image, which is defined as the first laser point cloud image; S2-2. The computer continues to receive the laser point cloud image signal transmitted by the laser receiver, and processes and displays the laser point cloud image, which is defined as the second laser point cloud image; S2-3. Compare the first laser point cloud image with the second laser point cloud image, and determine whether there is a risk of a moving object entering the airport runway based on the difference between the first laser point cloud image and the second laser point cloud image.

5. The method according to claim 4, characterized in that In step S2-3, the computer first performs point cloud segmentation on the first laser point cloud image and the second laser point cloud image to divide them into different parts or objects; then performs edge detection on the segmented parts or objects to identify the contours of each part or object; finally, the contours of each part or object in the first laser point cloud image are compared with the contours of the corresponding parts or objects in the second laser point cloud image. If there is a difference, it is determined that a moving object has entered the airport runway and there is a risk. If there is no difference, it is determined that no moving object has entered the airport runway and there is no risk.

6. The method according to claim 5, characterized in that The segmentation algorithm for performing point cloud segmentation on the first laser point cloud image and the second laser point cloud image includes region-based segmentation, geometry-based segmentation, and deep learning-based segmentation.

7. The method according to any one of claims 1-3, 5, and 6, characterized in that: The processing of the moving object that illegally intrudes the airport runway is specifically as follows: the computer sends a processing notice to the airport staff, including suspending the use of the airport runway and removing the moving object that illegally intrudes the airport runway.

8. The method according to claim 3, characterized in that A high-definition pan-tilt camera is placed directly above the laser transmitter to capture 360° footage of the airport runway and access road without blind spots. The high-definition pan-tilt camera has optical zoom, digital zoom, infrared functions and intelligent recognition of objects passing on the runway.

9. An airport runway anti-intrusion warning control system, characterized in that: include: Laser emitters (100) are used to collect laser point cloud image signals of an airport runway, are arranged in a row on the airport runway, and have a scanning function of 360° all around and 15° up and down, and the laser pulse signals emitted by the laser emitters arranged in a row together constitute a scanning plane; A high-definition pan-tilt camera (200) is used to collect high-definition images of the airport runway, and has 360-degree no-dead-angle shooting, optical zoom, digital zoom, infrared functions, and intelligent recognition functions for objects passing on the runway; The computer (300) is used to identify the collected laser point cloud image signals of the airport runway, determine whether there is a risk of a moving object entering the airport runway, and when there is a risk of a moving object entering the airport runway, retrieve the corresponding high-definition image screen of the risk of a moving object entering the airport runway, and identify the high-definition image screen to confirm whether there is a moving object illegally intruding the airport runway, and when it is confirmed that there is a moving object illegally intruding the airport runway, issue a processing notice to airport staff; A memory (400) is used to store laser point cloud image signal data and high-definition image data of the airport runway, as well as risk handling records of moving objects entering the airport runway; Furthermore, the laser transmitter (100), the high-definition pan-tilt camera (200) and the memory (400) are connected to the computer (300).

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