Special aviation airspace optimization method and system for special aviation training requirements

By analyzing and calculating the historical flight data of special aviation, determining the airspace requirements for different training courses, and optimizing the current airspace according to the principles of airspace planning, the problem that traditional airspace replacement methods cannot meet the special aviation training needs is solved, and the refined use of military aviation resources and the full release of resources are achieved.

CN120014885APending Publication Date: 2025-05-16BEIJING HUAAN TIANCHENG TECH CO LTD
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Patent Information

Application Number
CN202510062495.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-15
Publication Date
2025-05-16

AI Technical Summary

Technical Problem

The traditional airspace replacement method cannot effectively meet the airspace needs of special aviation training courses, and fails to make full use of military aviation resources, resulting in some training courses being unable to achieve and airspace resources being insufficiently utilized.

Method used

By obtaining historical flight data of special aviation, processing and analyzing trajectory data sets, calculating the airspace range and size required for different training courses, optimizing the current airspace according to the principles of airspace planning to achieve refined use of airspace resources.

Benefits of technology

The quantitative planning of military aviation domains has been realized, the drawbacks of traditional extensive planning methods have been eliminated, the utilization rate of airspace resources has been improved, the contradiction between military and civil aviation has been alleviated, and the excess airspace resources have been released.

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Abstract

The invention provides a special aviation airspace optimization method and system for a special aviation training demand, and the method comprises the steps: obtaining the historical flight data of special aviation in a target special aviation current airspace, and processing the historical flight data to obtain a track data set; calculating airspace ranges required by different training subjects of the special aviation based on the trajectory data set to obtain airspace sizes required by the different training subjects; according to the size of the airspace required by different training items, calculating to obtain the size and quantity of the airspace required by completing all the training items, and optimizing the target special aviation current situation airspace according to an airspace planning principle based on the size and quantity of the airspace required by completing all the training items. According to the method, the real size of the airspace required by different textures is obtained through historical trajectory analysis, the current special aviation airspace is adjusted according to the real size of the required airspace, and redundant airspace is released for civil aviation, so that refined use of special aviation airspace resources is realized.
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Description

Technical Field

[0001] The present invention relates to the technical field of airspace management, and in particular to a special aviation airspace optimization method and system for special aviation training needs. Background Art

[0002] The resources of military and civil airspace in busy flight areas are tight, and it is difficult to meet the regional military aviation training needs and the incremental needs of civil aviation. There is no clear method to rely on for traditional military airspace planning. When civil aviation development encounters a bottleneck, the designated airspace plan will have an impact on the military airspace. The general solution is to ensure that the available area of ​​the military airspace remains unchanged as much as possible through airspace replacement, so as to meet the airspace use needs of civil aviation.

[0003] The problems and disadvantages of using airspace replacement are mainly the following two points:

[0004] 1. The airspace usage requirements for some special courses may be affected. Some military aviation training courses are low-altitude training courses that rely on terrain. After the airspace replacement, it may not meet the terrain requirements, resulting in the inability to implement some training courses.

[0005] 2. Airspace replacement is a method of adjusting and optimizing airspace in combination with qualitative analysis. The utilization rate and saturation of the original airspace are not taken into consideration, which may result in the underutilization of military airspace resources.

[0006] The main reason for the above results is that the airspace required for different military aviation training courses cannot be quantified, making it impossible for the military aviation airspace authorities to determine how much airspace can meet the training needs. Therefore, when optimizing and adjusting the airspace, the only criterion for military aviation airspace planning is to keep the available airspace area unchanged. However, this cannot fundamentally solve the contradiction between military and civil aviation use of airspace in areas with tight airspace resources. In order to solve the drawbacks of the traditional extensive planning method of military aviation that "keeps the available airspace area unchanged", a quantifiable calculation method for military aviation airspace use needs is urgently needed. Summary of the invention

[0007] The purpose of the present invention is to provide a special aviation airspace optimization method and system for special aviation training needs, aiming to solve the above-mentioned problems in the prior art.

[0008] The embodiment of the present invention provides a special aviation airspace optimization method for special aviation training needs, including:

[0009] Acquire historical flight data of special aviation in target special aviation status airspace, and process the historical flight data to obtain a trajectory data set;

[0010] Calculating the airspace range required for different special aviation training subjects based on the trajectory data set to obtain the airspace size required for different training subjects; and

[0011] The size and quantity of airspace required to complete all training courses are calculated based on the airspace sizes required for the different training courses, and the target special aviation status airspace is optimized based on the size and quantity of airspace required to complete all training courses and in accordance with airspace planning principles.

[0012] The embodiment of the present invention provides a special aviation airspace optimization system for special aviation training needs, including:

[0013] A data module is used to obtain historical flight data of special aviation in the target special aviation status airspace, and process the historical flight data to obtain a trajectory data set;

[0014] A course airspace calculation module, used to calculate the airspace range required for different special aviation training courses based on the trajectory data set, and obtain the airspace size required for different training courses; and

[0015] The optimization module is used to calculate the size and quantity of airspace required to complete all training courses based on the airspace sizes required for the different training courses, and optimize the target special aviation status airspace based on the size and quantity of airspace required to complete all training courses and according to airspace planning principles.

[0016] An embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-mentioned special aviation airspace optimization method for special aviation training needs.

[0017] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the above-mentioned special aviation airspace optimization method for special aviation training needs are implemented.

[0018] The use of the embodiments of the present invention may include the following beneficial effects: the embodiments of the present invention propose a refined planning method that can be used for military aviation airspace, which obtains the actual size of the airspace required for different subjects through historical trajectory analysis, and then adjusts the existing airspace according to the actual size of the required airspace to release excess airspace, that is, by quantifying the demand for the use of military aviation airspace, thereby achieving refined use of military aviation airspace resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0020] Figure 1 is a flow chart of a special aviation airspace optimization method for special aviation training needs according to an embodiment of the present invention;

[0021] Figure 2 is a schematic diagram of calculation results of airspace required for different training subjects according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of the current status of airspace in an embodiment of the present invention;

[0023] Figure 4 This is a schematic diagram of the situation after airspace re-planning in an embodiment of the present invention;

[0024] Figure 5 It is a schematic diagram of a special aviation airspace optimization system for special aviation training needs according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0026] Method Embodiment

[0027] According to an embodiment of the present invention, a special aviation airspace optimization method for special aviation training needs is provided. Figure 1 is a flow chart of a special aviation airspace optimization method for special aviation training needs according to an embodiment of the present invention, such as Figure 1 As shown, the special aviation airspace optimization method for special aviation training needs according to an embodiment of the present invention specifically includes:

[0028] Step S101, obtaining historical flight data of special aviation in the target special aviation status airspace, processing the historical flight data to obtain a trajectory data set, specifically including:

[0029] Acquire historical flight radar trajectory data of special aviation in the target special aviation status airspace, and use flight plan association technology to parse the historical flight radar trajectory data to obtain a trajectory data set;

[0030] Step S102, based on the trajectory data set, calculates the airspace range required for different special aviation training courses to obtain the airspace size required for different training courses, specifically including:

[0031] The trajectory data set is classified according to the type of special aviation training courses, and the airspace range used by each trajectory of each training course after classification is statistically analyzed using full airspace simulation evaluation software, and the rectangular area integrating all trajectories is used as the required airspace size of the corresponding training course;

[0032] Step S103, calculating the airspace size and quantity required to complete all training courses according to the airspace size required for the different training courses, optimizing the target special aviation status airspace based on the airspace size and quantity required to complete all training courses and according to airspace planning principles, specifically including:

[0033] Combine the airspace sizes required for the different training courses and the training requirements of special aviation to determine the airspace size and quantity required for the special aviation to complete all training courses, and make a comprehensive judgment on the airspace size and quantity required to complete all training courses and the civil aviation airspace plan, and optimize and adjust the target special aviation status airspace in combination with the judgment results and airspace planning principles;

[0034] The special aviation training requirements include typical daily training subjects, training hours and training duration;

[0035] The airspace planning principles include:

[0036] Maintain preset intervals between different airspaces and between airspaces and surrounding airways;

[0037] Prioritize the airspace near airports, and when there is a conflict between special aviation and civil aviation in the use of airspace, the use needs of civil aviation airspace must be considered;

[0038] Under the premise of keeping the existing airspace planning method unchanged, comprehensive consideration should be given to the time-sharing and layered use of airspace.

[0039] The optimization adjustment is to reduce the size of the target special aviation status airspace.

[0040] The above technical solution of the embodiment of the present invention is described in detail below in combination with the specific situation of the special aviation airspace optimization method for special aviation training needs in the embodiment of the present invention.

[0041] In the embodiment of the present invention, the special aviation airspace is the airspace used by military aviation, and the special aviation is military aviation.

[0042] That is, the embodiment of the present invention proposes an airspace planning method that can be used to solve the conflict between the use of airspace by military and civil aviation in busy flight areas, and can realize the quantitative planning of military aviation airspace. The specific steps are as follows:

[0043] 1. Historical flight data analysis: Use radar trajectory data and flight plan association technology based on a military aviation-specific format to analyze historical flight data and create data files that can be recognized by three-dimensional simulation software (full airspace simulation evaluation software).

[0044] 2. Calculation of airspace required for different training courses. According to different training courses, the analyzed historical radar track data is classified, and the airspace range used by each track of a certain course is statistically analyzed, and the rectangular area covering all tracks is used as the required airspace size for this training course. Figure 2 As shown in the figure, the range of the rectangular trajectory is the size of the airspace required for the training course being analyzed (the latitude and longitude width can be converted into the horizontal range, and the height is the vertical range).

[0045] 3. Calculation of airspace required for military aviation training. Based on the airspace required for different training courses determined by the above analysis, combined with the requirements of military aviation typical day training courses, training hours and training duration, the size and quantity of airspace required to complete the training are studied and determined. Among them, a typical day refers to a day with a training volume between 90% and 95% of the maximum training volume.

[0046] 4. Military aviation training airspace demarcation. Based on the above-determined airspace size and quantity, combined with the civil aviation airspace plan, military aviation training airspace is demarcated to achieve refined use of military aviation airspace resources.

[0047] The specific implementation steps of the embodiment of the present invention are as follows:

[0048] 1. Analysis of historical flight data. Using radar trajectory data and flight plan association technology based on a military aviation-specific format, the two-month historical radar trajectory data of Airport A was analyzed and made into a data file that can be recognized by 3D software. After analysis, there were a total of 2,322 flight data at Airport A.

[0049] 2. Calculation of airspace required for different training courses. The two months of historical radar data were classified and analyzed. Airport A had a total of 5 training courses in two months. The number of flight data for each course and the calculated airspace size are shown in Table 1.

[0050] Table 1 The number of flight data for each subject and the size of the airspace required

[0051]

[0052] 3. Calculation of airspace required for military aviation training. Based on the training course types and required airspace size of Airport A determined by the above analysis, combined with the requirements of military aviation peak day training courses, training hours and training duration, the size and quantity of airspace required to complete the typical day training needs are preliminarily determined, as shown in Table 2 (training duration refers to the length of training time for one day at Airport A, and the following analysis is based on 8 hours).

[0053] Table 2 Size and quantity of airspace required to complete training

[0054]

[0055] 4. Military aviation training airspace demarcation. Based on the above-mentioned airspace size and quantity, combined with the use needs of civil aviation airspace, the military aviation training airspace of Airport A is re-demarcated, and the principles considered are mainly the following three aspects:

[0056] (1) Maintain a 10 km horizontal interval or a 1000 m vertical interval between different airspaces and between airspaces and surrounding airways to avoid mutual impact;

[0057] (2) As far as possible, airspace should be set up near airports to shorten the time of going to and from the airspace. However, when there is a conflict in the use of airspace with civil aviation routes, the use of civil aviation airspace can be appropriately taken into account;

[0058] (3) While maintaining the existing airspace usage methods as much as possible, consider the time-sharing and layered use of airspace.

[0059] Based on the size and quantity of airspace required for different courses determined by the above historical trajectory analysis, combined with the current airspace planning, and according to the above planning principles, the airspace required for military aviation training at Airport A is re-demarcated. At present, Course 2 and Course 3 share the same airspace and use it in different time periods, that is, the training time is 8 hours a day, Course 2 uses 3 hours, and Course 3 uses 4 hours; Course 4 and Course 1 share the same airspace and use it in layers at a vertical interval of 1,000 meters, that is, Course 4 uses 0-1,000 meters, and Course 4 uses 2,000-7,000 meters. This method will still be used during re-planning. The current and re-planned airspace plans are as follows: Figure 3 , Figure 4 As shown, the dark lines are the boundaries of the military airspace, and the light lines are the civil aviation routes. The airspace area before planning was 49,000 square kilometers, and the airspace area after re-planning is 33,900 square kilometers.

[0060] It can be seen that after the military aviation airspace of Airport A is replanned based on the method proposed in the embodiment of the present invention, the airspace area that Airport A can release is 15,100 square kilometers, and the release ratio is about 30.8%. Through this method, on the basis of ensuring the military aviation airspace demand of Airport A, the military aviation airspace resources of Airport A are fully released, which is conducive to alleviating the airspace contradiction between Airport A and surrounding civil aviation airports.

[0061] In summary, the embodiments of the present invention realize the quantitative planning of military aviation airspace, eliminate the drawbacks of the traditional extensive planning method based on the principle of "keeping the scope of usable airspace unchanged", and shrink the current airspace size according to the size of the airspace required for different training courses after quantification, which is conducive to solving the problems of tight use of airspace resources in busy areas and prominent conflicts in the use of airspace by military and civil aviation.

[0062] System Example

[0063] According to an embodiment of the present invention, a special aviation airspace optimization system for special aviation training needs is provided. Figure 5 is a schematic diagram of a special aviation airspace optimization system for special aviation training needs according to an embodiment of the present invention, such as Figure 5 As shown, the special aviation airspace optimization system for special aviation training needs according to an embodiment of the present invention specifically includes:

[0064] The data module 50 is used to obtain the historical flight data of the special aviation in the target special aviation status airspace, and process the historical flight data to obtain a trajectory data set;

[0065] A course airspace calculation module 52 is used to calculate the airspace range required for different special aviation training courses based on the trajectory data set to obtain the airspace size required for different training courses; and

[0066] The optimization module 54 is used to calculate the size and quantity of airspace required to complete all training courses based on the airspace sizes required for the different training courses, and optimize the target special aviation status airspace based on the size and quantity of airspace required to complete all training courses and according to airspace planning principles.

[0067] The embodiment of the present invention is a system embodiment corresponding to the above-mentioned method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0068] In summary, compared with the prior art, the embodiments of the present invention have the following beneficial effects: it realizes the quantitative calculation of the airspace required for different military aviation training courses, provides data support for the refined use of military aviation airspace resources, and provides a solution to alleviate the problem of regional airspace resource shortage.

[0069] Device Example 1

[0070] An embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps described in the method embodiment when executed by the processor.

[0071] Device Example 2

[0072] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps described in the method embodiment are implemented.

[0073] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A special aviation airspace optimization method for special aviation training needs, characterized by include: Acquire historical flight data of special aviation in target special aviation status airspace, and process the historical flight data to obtain a trajectory data set; Based on the trajectory data set, the required airspace ranges for different special aviation training subjects are calculated to obtain the required airspace sizes for different training subjects; as well as The size and quantity of airspace required to complete all training courses are calculated based on the airspace sizes required for the different training courses, and the target special aviation status airspace is optimized based on the size and quantity of airspace required to complete all training courses and in accordance with airspace planning principles.

2. The method according to claim 1, characterized in that Acquire historical flight data of special aviation in the target special aviation status airspace, process the historical flight data, and obtain a trajectory data set, specifically including: The historical flight radar trajectory data of special aviation in the target special aviation status airspace are obtained, and the flight plan association technology is used to parse the historical flight radar trajectory data to obtain a trajectory data set.

3. The method according to claim 1, characterized in that Based on the trajectory data set, the airspace range required for different special aviation training subjects is calculated, and the airspace sizes required for different training subjects are obtained, including: The trajectory data set is classified according to the type of special aviation training courses, and the airspace range used by each trajectory of each training course after classification is statistically analyzed using full airspace simulation evaluation software, and the rectangular area integrating all trajectories is used as the required airspace size for the corresponding training course.

4. The method according to claim 1, characterized in that: The size and quantity of airspace required to complete all training courses are calculated based on the airspace size required for the different training courses, and the target special aviation status airspace is optimized based on the size and quantity of airspace required to complete all training courses and in accordance with airspace planning principles, including: Combine the airspace sizes required for the different training courses and the training requirements of special aviation to determine the size and quantity of airspace required for the special aviation to complete all training courses, and make a comprehensive judgment on the size and quantity of airspace required to complete all training courses and the civil aviation airspace plan, and combine the judgment results with the airspace planning principles to optimize and adjust the target special aviation status airspace.

5. The method according to claim 4, characterized in that The special aviation training requirements include typical daily training subjects, training hours and training duration.

6. The method according to claim 4, characterized in that The airspace planning principles include: Maintain preset intervals between different airspaces and between airspaces and surrounding airways; Prioritize the airspace near airports, and when there is a conflict between special aviation and civil aviation in the use of airspace, the use needs of civil aviation airspace must be considered; Under the premise of keeping the existing airspace planning method unchanged, comprehensive consideration should be given to the time-sharing and layered use of airspace.

7. The method according to claim 4, characterized in that The optimization adjustment is to reduce the size of the target special aviation status airspace.

8. A special aviation airspace optimization system for special aviation training needs, characterized by include: A data module is used to obtain historical flight data of special aviation in the target special aviation status airspace, and process the historical flight data to obtain a trajectory data set; A course airspace calculation module is used to calculate the airspace range required for different special aviation training courses based on the trajectory data set to obtain the airspace size required for different training courses; as well as The optimization module is used to calculate the size and quantity of airspace required to complete all training courses based on the airspace sizes required for the different training courses, and optimize the target special aviation status airspace based on the size and quantity of airspace required to complete all training courses and according to airspace planning principles.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the method for optimizing special aviation airspace for special aviation training needs as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by a processor, the steps of the special aviation airspace optimization method for special aviation training needs as described in any one of claims 1 to 7 are implemented.

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