CN112464795B - Airport peripheral clearance management method, intelligent terminal and storage medium - Google Patents
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Abstract
The invention discloses a method for managing clearance around an airport, which comprises the following steps: acquiring an image in a preset range of an airport, and screening and acquiring a target object by comparing a known obstacle with the acquired image; acquiring the height and the position of a target object; drawing a plurality of evaluation planes according to the judgment standard; and respectively judging whether the target object is above a plurality of evaluation planes according to the height and the position of the target object, and generating an evaluation report. The airport peripheral clearance management method disclosed by the invention realizes the dynamic management of the airport peripheral clearance zone obstacles, and the real-time monitoring of the airport clearance by newly built obstacles in the airport peripheral clearance is realized by comparing the known obstacles with the acquired clearance zone images. Based on the airport peripheral clearance management method, the invention also discloses an intelligent terminal and a storage device applying the method.
Description
Technical Field
The present invention relates to the field of airport clearance management technologies, and in particular, to an airport peripheral clearance management method, an intelligent terminal, and a storage medium.
Background
The airport clearance refers to the specified space required by taking off, climbing, sliding down, landing and visual observation of the aircraft at the two ends and the two sides of each running of the existing and planned airport, and is used for guaranteeing the safe running of the aircraft and preventing the airport from being unusable due to the increase of barriers around the airport and adjacent bottom surfaces of the airport.
Airport headroom protection is a very important place in civil airport environmental protection. According to the statistics of the worldwide commercial jet transport aircraft flight accidents, the take-off and landing accidents account for about 70% of all the flight accidents, and the airport clearance has the effect of taking off and landing safety of the aircraft.
The disruption of airport clearance conditions is typically due to ultra-high obstructions (also including floats or smoke, dust, which can disrupt the clearance conditions). For this purpose, imaginary planes or inclined planes must be defined as clearance obstacle limiting surfaces for limiting the height of natural terrains and artificial buildings around the airport. At present, the national civil aviation specifies the clearance requirement of a civil transportation airport in technical standards of civil airport flight areas (MH 5001-2000), and the barrier limit surface (OLS) of the national civil aviation is formulated according to the standards of International civil aviation convention, accessory 14-airport. In addition, the requirements for limiting the obstacles in the accessories of the electric field are required to meet the requirements for limiting the obstacles in the air traffic navigation service program-aircraft operation (PANS-OPS) (Doc 8168) besides the OLS in the accessory 14-airport.
The existing airport clearance management system is mostly based on the specification of technical standards of civil airport flight areas (MH 5001-2000), and almost no limit requirement of related barriers in air traffic navigation service program-aircraft operation (PANS-OPS) (Doc 8168) is considered. The method is mainly characterized in that requirements on obstacles in PANS-OPS are difficult to realize, and when the airport clearance is managed actually, the airport obstacles are obtained based on field measurement, so that the labor cost is high and the efficiency is low. A small amount of researches are based on the satellite remote sensing technology InSAR to acquire the airport clearance zone obstacle, but the accuracy of acquiring the obstacle is doubtful, and the height of the newly added obstacle cannot be determined.
Disclosure of Invention
In order to solve the problems that in the prior art, the cost of manually measuring an obstacle is high, the working efficiency is low, and whether the obstacle affects the standard required in PANS-OPS is difficult to judge after manual measurement, the invention provides an airport periphery clearance management method, and based on the airport periphery clearance management method, the invention also provides an intelligent terminal and a storage medium.
The invention is realized by the following technical scheme:
an airport perimeter clearance management method, the method comprising:
acquiring an image in a preset range of an airport, and screening and acquiring a target object by comparing a known obstacle with the acquired image;
acquiring the height and the position of a target object;
drawing a plurality of evaluation planes according to the judgment standard;
and respectively judging whether the target object is above a plurality of evaluation planes according to the height and the position of the target object, and generating an evaluation report.
Further, the predetermined range includes:
areas within 15 km on both sides of the center line of the airport runway;
an area within 20 km radius with the runway end of the airport as the center.
Further, acquiring an image within a predetermined range of the airport, and screening and acquiring a target object by comparing a known obstacle with the acquired image specifically includes:
acquiring a plurality of containing boxes according to the image, and acquiring the number and position coordinates of the containing boxes;
and screening and acquiring the target object according to the position coordinates of the known barriers compared with the plurality of containing boxes.
Further, the drawing the plurality of evaluation planes according to the determination criteria specifically includes:
drawing a first evaluation plane according to a take-off climbing plane, a approach plane, a transition plane, a conical plane and an inner water plane within a preset range;
according to the height and the position of the target object, respectively judging whether the target object is above a plurality of evaluation planes and generating an evaluation report specifically comprises the following steps:
acquiring the heights and positions of a plurality of target objects, and judging whether the target objects are above the first evaluation plane;
and acquiring judgment results of a plurality of target objects, and generating an evaluation report.
Further, the drawing the plurality of evaluation planes according to the determination criteria specifically includes:
acquiring a plurality of flight procedures of an airport;
drawing a second evaluation plane according to the basic ILS plane, the obstacle evaluation plane, the obstacle identification OIS plane, the obstacle identification VSS plane and the missed approach straight line segment acquired by the plurality of flight programs;
according to the height and the position of the target object, respectively judging whether the target object is above a plurality of evaluation planes and generating an evaluation report specifically comprises the following steps:
acquiring the heights and positions of a plurality of target objects, and judging whether the target objects are above the second evaluation plane;
and acquiring judgment results of a plurality of target objects, and generating an evaluation report.
Further, the drawing the plurality of evaluation planes according to the determination criteria specifically includes:
acquiring the lowest guiding height of airport navigation facilities, lighting systems and radars;
drawing a third evaluation plane according to the lowest guide height;
according to the height and the position of the target object, respectively judging whether the target object is above a plurality of evaluation planes and generating an evaluation report specifically comprises the following steps:
acquiring the heights and positions of a plurality of target objects, and judging whether the target objects are above the third evaluation plane;
and acquiring judgment results of a plurality of target objects, and generating an evaluation report.
Further, the method further includes, after the obtaining the judging results of the plurality of target objects and generating the evaluation report:
the marker target object is a known obstacle.
Further, the method further includes, after the obtaining the judging results of the plurality of target objects and generating the evaluation report:
and executing the step of acquiring images within a preset range of the airport at intervals of preset time, and comparing known obstacles with the acquired images to screen and acquire target objects.
An intelligent terminal, comprising: the airport periphery clearance management method according to any one of the above is realized when the airport periphery clearance management program is executed by the processor.
A storage medium storing an airport perimeter clearance management program that when executed by a processor implements an airport perimeter clearance management program as defined in any one of the preceding claims.
The invention has the beneficial effects that:
the airport peripheral clearance management method disclosed by the invention realizes the dynamic management of the airport peripheral clearance zone obstacles, and the real-time monitoring of the airport clearance by newly built obstacles in the airport peripheral clearance is realized by comparing the known obstacles with the acquired clearance zone images;
after the position and the height of the new obstacle are obtained, modeling the new obstacle, drawing and generating a plurality of evaluation planes according to a plurality of obstacle judgment standards of the airport, judging whether the new obstacle is partially positioned on the evaluation planes, evaluating the aviation influence of the new obstacle, and ensuring the clearance and the operation safety of the airport.
Drawings
FIG. 1 is a schematic workflow diagram of an airport perimeter clearance management method according to the present invention;
FIG. 2 is a schematic diagram of the distribution of airport obstruction surfaces as defined in annex 14-airport;
FIG. 3 is a schematic view of the internal environment of the intelligent terminal according to the present invention;
FIG. 4 is a schematic diagram of the architecture of the airport perimeter clearance management program of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and more specific, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, the invention discloses a method for managing airport periphery clearance, which comprises the following steps:
s100, acquiring an image in a preset range of an airport, and comparing a known obstacle with the acquired image to screen and acquire a target object;
s200, acquiring the height and the position of a target object;
s300, drawing a plurality of evaluation planes according to a judgment standard;
s400, judging whether the target object is above a plurality of evaluation planes according to the height and the position of the target object, and generating an evaluation report.
Referring to fig. 2, the clearance requirement of the civil transportation airport is specified in the technical standard of civil airport flight area (MH 5001-2000), and the barrier limit surface (OLS) is formulated according to the standard of the international civil aviation convention, accessory 14-airport, specifically, the barrier limit surface includes: the invention relates to a take-off climbing plane, a approach plane, a transition plane, a conical plane and an inner water plane, wherein the dividing distances of barrier limiting planes are different for different airports in order to protect clearance areas, so that the invention can be applied to different airports, and the preset range comprises: 1. areas within 15 km on both sides of the center line of the airport runway; 2. an area within 20 km radius with the runway end of the airport as the center.
The step S100 specifically includes:
s101, acquiring a plurality of containing boxes according to an image, and acquiring the number and position coordinates of the containing boxes;
s102, screening and obtaining a target object according to the position coordinates of the known barriers compared with the plurality of containing boxes.
The traditional airport clearance management is usually a male method for patrol in a clearance area, a great amount of manpower and material resources are required for patrol, measurement and recording of the artificial obstacle, and the monitoring effect is not ideal. The working cost can be greatly reduced through the remote sensing dynamic monitoring of the obstacle.
After the images in the preset range of the airport are extracted, the images are identified and target detection is carried out, the automatic extraction of the artificial building can be realized by combining a mechanical learning algorithm of a convolutional neural network with an open source database of the artificial building, a plurality of containing boxes are formed by regression and non-label classification, the number and position coordinates of the containing boxes are obtained, and the position and height of the artificial building in the preset range of the airport can be obtained, the position judgment and the single target detection can be carried out. As an implementation embodiment of the present invention, the target detection algorithm described in the present invention is: mask R-CNN algorithm.
Under the normal condition, under the condition that no natural disasters occur, natural barriers in a preset range of an airport are relatively stable, most of the artificial barriers affecting the flight safety of an aircraft, particularly new artificial barriers are generated, when the airport issues a national navigation data assembly (NAIP), the existing artificial barriers in an airport clearance management area, namely known barriers, can be published, and the new artificial barriers, namely target objects, can be screened out through the comparison of the national navigation data assembly and images.
In step S200, after the target object is acquired, the height of the target object is acquired by using a method of on-site measurement, and then the target object is modeled according to the position and the height, so as to prepare for the security evaluation of the target object.
According to the invention, whether the artificial obstacle is in the range of the published navigation data assembly is judged by comparing the known obstacle with the acquired image, the artificial obstacle is determined to be a new obstacle and then is determined to be a target object, and then the target object is measured, so that the work load of an airport clearance management department is reduced, and the work efficiency is improved.
Referring to fig. 1 and 2, step S300 specifically includes:
s301, drawing a first evaluation plane according to a take-off climbing plane 1, a approach plane 2, a transition plane 3, a conical surface 4 and an inner water plane 5 in a preset range;
the step S400 specifically includes:
s401, acquiring heights and positions of a plurality of target objects, and judging whether the target objects are above the first evaluation plane;
s402, acquiring judgment results of a plurality of target objects, and generating an evaluation report.
In this embodiment, the first evaluation plane is an Obstacle Limiting Surface (OLS) specified in the "accessory 14-airport", the obstacle limiting surface is relatively fixed, and specifically as shown in fig. 2, if the target object passes through the first evaluation plane at the height of its current position, it is determined that the target object has an influence on the flight of the aircraft, and an evaluation report is generated from the determination results of all the target objects.
Step S300 further includes:
s302, acquiring a plurality of flight programs of an airport, and drawing a second evaluation plane according to a basic ILS plane, an obstacle evaluation plane, an obstacle identification OIS plane, an obstacle identification VSS plane and a missed approach straight line segment acquired by the plurality of flight programs;
based on the above, step S400 specifically includes:
s403, acquiring heights and positions of a plurality of target objects, and judging whether the target objects are above the second evaluation plane;
s402, acquiring judgment results of a plurality of target objects, and generating an evaluation report.
In this embodiment, the super-barrier heights of different locations of different legs are affected by the height of the target object according to the PANS-OPS requirements. And acquiring a plurality of current flight programs of the airport according to the domestic navigation data assembly, namely acquiring the required information of a basic ILS surface, an obstacle evaluation surface, an obstacle identification OIS surface, an obstacle identification VSS surface and a flying straight line according to the flight programs, and drawing and generating a second evaluation plane according to the information. And finally, judging that the target object has influence on the flight of the aircraft according to the position and the height of the target object, and generating an evaluation report according to the judgment results of all the target objects.
Step S300 further includes:
s303, acquiring the lowest guiding height of airport navigation facilities, lighting systems and radars, and drawing a third evaluation plane according to the lowest guiding height;
based on the above, step S400 includes:
s404, acquiring heights and positions of a plurality of target objects, and judging whether the target objects are above the third evaluation plane;
s402, acquiring judgment results of a plurality of target objects, and generating an evaluation report.
In the process of taking off and landing, the aircraft needs to be guided by a navigation facility and a light facility, and the airport radar also needs to acquire the position of the aircraft in real time and guide the direction of the aircraft, so that a third evaluation plane is also arranged for evaluating the aviation related facilities of the airport, and the influence of key obstacles on the guidance and communication between the aircraft and the airport is avoided.
In the embodiment, the evaluation plane disclosed by the invention relates to the PANS-OPS super-barrier height of an airport facility and a target object and the barrier limiting surface required height respectively, and newly-built artificial barriers are evaluated from three opposite sides, so that the normalized management of airport clearance protection is realized.
In the present invention, step S400 further includes:
s500, marking the target object as a known obstacle.
After the evaluation and correction of a newly built artificial obstacle are finished, the artificial obstacle is the known artificial obstacle, and the measured obstacle is not required to be repeatedly evaluated when the monitoring is repeatedly performed, so that the evaluation flow is reduced.
The step S400 further includes:
s600, executing the steps of acquiring images within a preset range of the airport at intervals of preset time, comparing known obstacles with the acquired images, screening and acquiring target objects.
According to the invention, after the artificial obstacles are extracted and evaluated, the obstacles around the airport are analyzed and influence judged from a plurality of scales of month, quarter and year, so that the dynamic management and control of the artificial obstacles around the airport are realized, the clearance and operation safety of the airport are ensured, the load of staff is reduced, and the clearance management efficiency is improved. The preset time may be periodically performed once in months, quarters and years.
Referring to fig. 3, an intelligent terminal 10 includes: the airport periphery clearance management system comprises a memory 11, a processor 12 and an airport periphery clearance management program 13 stored in the memory 11 and running on the processor 12, wherein the airport periphery clearance management program 13 realizes the airport periphery clearance management method when being executed by the processor 12.
Referring to fig. 4, as an implementation embodiment of the present invention, when the intelligent terminal executes the airport periphery clearance management method, the software system platform is divided into four layers, which are respectively:
the display layer 100, the code layer 200, the data model layer 300 and the result distribution layer 400, wherein the core of the display layer 100 is an evaluation model of the image, the target object height and position and the management and airport evaluation plane. The code layer is the database, the development language and the system platform in the invention. The data model layer is mainly used for researching data needing to be brought in, and comprises attribute data of a target object and space data of an evaluation plane, so that evaluation of the target object is realized, and an evaluation result is obtained. The result distribution layer is read continuously from the three months, the quarters and the years, evaluates the evaluation result of the monitoring target object in a dynamic diagram and distributes data, and provides related data for government management departments, airport management departments, related enterprises and the public society.
Based on the airport periphery clearance management method, the invention also discloses a storage medium, wherein the storage medium stores an airport periphery clearance management program, and when the airport periphery clearance management program is executed by a processor, the airport periphery clearance management method is realized.
The airport peripheral clearance management method disclosed by the invention realizes the dynamic management of the airport peripheral clearance zone obstacles, and the real-time monitoring of the airport clearance by newly built obstacles in the airport peripheral clearance is realized by comparing the known obstacles with the acquired clearance zone images;
after the position and the height of the new obstacle are obtained, modeling the new obstacle, drawing and generating a plurality of evaluation planes according to a plurality of obstacle judgment standards of the airport, judging whether the new obstacle is partially positioned on the evaluation planes, evaluating the aviation influence of the new obstacle, and ensuring the clearance and the operation safety of the airport.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (3)
1. The airport peripheral clearance management method is characterized by being used for dynamically managing obstacles in an airport peripheral clearance area, evaluating aviation influence of newly-built obstacles, carrying out dynamic evaluation on evaluation results of monitoring target objects and distributing data, providing data for government management departments, airport management departments, enterprises and the public society, and realizing remote sensing dynamic monitoring through the obstacles, and comprising the following steps:
acquiring a clearance area image in a preset range of an airport at intervals of preset time, and comparing known obstacles with the acquired clearance area image to screen and acquire a target object; when screening and acquiring a target object, acquiring an artificial building according to the clearance area image by combining with the open source data of the artificial building to form a plurality of containing boxes, and acquiring the number and position coordinates of the containing boxes so as to acquire the number and position coordinates of the artificial building; according to the known obstacle, comparing the position coordinates of the plurality of containing boxes, and realizing screening to obtain a target object; the target object is a newly-built artificial obstacle which is not published by the navigation data assembly, the known obstacle is obtained by the navigation data assembly and is an obstacle published in the navigation data assembly;
acquiring the height and the position of a target object;
drawing a first evaluation plane according to a take-off climbing plane, an approach plane, a transition plane, a conical plane and an inner water plane in a preset range, acquiring a plurality of flight programs of an airport, drawing a second evaluation plane according to a basic ILS plane, an obstacle evaluation plane, an obstacle identification OIS plane, an obstacle identification VSS plane and a missed approach straight line segment acquired by the plurality of flight programs, acquiring the lowest guiding height of an airport navigation facility, a lighting system and a radar, and drawing a third evaluation plane according to the lowest guiding height;
modeling a newly built artificial obstacle according to the height and the position of the target object, judging whether the target object is above a first evaluation plane, a second evaluation plane and a third evaluation plane, generating an evaluation report according to the judgment result of the target object, and marking the target object as a known obstacle;
the predetermined range includes an area within 15 km on both sides of the center line of the airport runway and an area within 20 km on a radius centered on the end of the airport runway.
2. An intelligent terminal, characterized in that, the intelligent terminal includes: memory, a processor, and an airport perimeter clearance management program stored on the memory and running on the processor, which when executed by the processor, implements the airport perimeter clearance management method of claim 1.
3. A storage medium storing an airport perimeter clearance management program which, when executed by a processor, implements the airport perimeter clearance management method of claim 1.
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| CN202011342264.7A CN112464795B (en) | 2020-11-26 | 2020-11-26 | Airport peripheral clearance management method, intelligent terminal and storage medium |
| LU102309A LU102309B1 (en) | 2020-11-26 | 2020-12-18 | A Method for Managing the Clearance around an Airport, an Intelligent Terminal and a Storage Medium |
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| CN113177719A (en) * | 2021-05-07 | 2021-07-27 | 民航成都电子技术有限责任公司 | Civil aviation clearance safety risk assessment method and device, computer equipment and storage medium |
| CN114139406B (en) * | 2022-02-07 | 2022-04-26 | 天津航大天元航空技术有限公司 | Airport clearance evaluation method for smoke emission type obstacles |
| CN116757466B (en) * | 2023-05-04 | 2024-03-15 | 航科院中宇（北京）新技术发展有限公司 | Airport clearance safety evaluation mapping system based on ARNIC424 codes |
| CN117313289B (en) * | 2023-09-26 | 2024-04-09 | 航科院中宇（北京）新技术发展有限公司 | Power grid line assessment method and system based on airport obstacle limit surface data |
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