A collaborative dynamic management method for airspace resources

Abstract

The present invention relates to the field of aviation control technology, and in particular to a method for dynamic management of airspace resources in collaboration between two parties, comprising: periodically determining an optimization management strategy for each optimization analysis target based on a task sudden interference index and a sudden protection index; during key dynamic analysis, determining a key execution strategy for each type of optimization analysis target based on a key airspace proportion index and a key distribution index, wherein the key execution strategy is to determine a dynamic isolation set of a type of optimization analysis target based on an airspace intersection index and an existing distribution index, or to determine an optimization matching mode for each matching analysis set based on a set matching richness coefficient; during isolation dynamic analysis, determining whether to set a risk isolation area for each risk analysis airspace based on an execution risk coefficient. The present invention improves the effectiveness of airspace resource management in the process of airspace sharing between two parties.

Description

Technical Field

[0001] The present invention relates to the field of aviation control technology, and in particular to a method for dynamic management of airspace resources in a collaborative manner. Background Art

[0002] In order to ensure the effective use of airspace resources, it is proposed to realize the sharing of airspace by aviation of both parties. To realize the sharing of airspace by aviation of both parties, it is necessary to dynamically manage the mission execution routes during the execution of flight missions, so as to ensure the utilization of airspace resources while avoiding excessive impact on the flight mission execution process. However, in the actual process of dynamic management of airspace resources, some aviation flight missions need to be encrypted to varying degrees, and there are situations where flight missions are executed suddenly, resulting in the inability to fully obtain all flight mission information during the actual management process. Therefore, how to ensure the quality of dynamic management of airspace resources when the integrity of route flight mission information is poor is an urgent problem to be solved by technical personnel in this field.

[0003] Chinese Patent Publication No. CN115662198A discloses a method and system for crossing civil aviation routes based on a dynamic path planning field. The method constructs a dynamic civil aviation traffic forecast distribution based on the civil aviation flight plan through a gridding method, initializes the path planning field with the departure and destination positions of the crossing aircraft, and calculates the optimal smooth crossing path for crossing the aircraft's current position node by minimizing the cumulative flight cost. The present invention analyzes the civil aviation predicted trajectory or pre-flight plan, establishes and updates the path planning field, performs dynamic obstacle avoidance with the goal of minimizing the crossing cost, obtains the optimal path based on the crossing aircraft's current position node, and can pre-calculate the optimal smooth crossing path for the crossing aircraft crossing the civil aviation route. However, the above solution has the following problems: it fails to ensure the dynamic management quality of airspace resources in the process of sharing airspace between two aviation parties when the integrity of aviation flight mission information is poor. Summary of the Invention

[0004] To this end, the present invention provides a method for dynamic management of airspace resources in a collaborative manner between two parties, so as to overcome the problem in the prior art that the quality of dynamic management of airspace resources in the process of airspace sharing between two parties is not guaranteed when the integrity of aviation flight mission information is poor.

[0005] To achieve the above objectives, the present invention provides a method for dynamic management of airspace resources in a collaborative manner, comprising:

[0006] Periodically determine the optimization management strategy for each optimization analysis target based on the mission sudden interference index and sudden protection index. The optimization management strategy is to optimize the existing routes using the key dynamic analysis method or the isolated dynamic analysis method.

[0007] During key dynamic analysis, the key execution strategy for each type of optimization analysis target is determined based on the key airspace proportion index and the key distribution index. The key execution strategy is to determine the dynamic isolation set of a type of optimization analysis target based on the airspace intersection index and the existing distribution index, or to determine the optimization matching method of each matching analysis set based on the set matching richness coefficient;

[0008] The optimized matching method is to determine the optimized execution set of the matching analysis set based on the set auxiliary coefficient and the coverage overlap index, or to determine the optimized execution set of the matching analysis set based on the set coverage index and the coverage overlap index;

[0009] During the isolation dynamic analysis, whether to set up a risk isolation area for each risk analysis airspace is determined based on the execution risk coefficient, and the risk isolation area is determined based on the existing relevant index and subdomain intersection index.

[0010] Furthermore, the task sudden interference index and sudden protection index of each optimized analysis target in the target management airspace are periodically tested;

[0011] For a single optimization analysis target,

[0012] The task sudden interference index is the ratio of the number of optimization interference targets of the optimization analysis target to the number of management targets within the optimization evaluation range of the optimization analysis target;

[0013] The sudden protection index is the average value of the target information protection parameters of each optimized interference target of the optimization analysis target;

[0014] The optimization interference target is a key analysis target that exists within the optimization evaluation range of the optimization analysis target.

[0015] Furthermore, if there is a task sudden interference index of the optimization analysis target that is greater than the preset task sudden interference index or a sudden protection index that is greater than the preset sudden protection index, the key dynamic analysis method is used to optimize the existing execution route of the optimization analysis target;

[0016] The optimization analysis target whose task sudden interference index is greater than the preset task sudden interference index or whose sudden protection index is greater than the preset sudden protection index is recorded as a type of optimization analysis target.

[0017] Furthermore, if there is a task burst interference index of the optimization analysis target that is less than or equal to the preset task burst interference index and the burst protection index is less than or equal to the preset burst protection index, the isolated dynamic analysis method is used to optimize the existing execution route of the optimization analysis target;

[0018] The optimization analysis target whose task sudden interference index is less than or equal to the preset task sudden interference index and whose sudden protection index is less than or equal to the preset sudden protection index is recorded as the second type of optimization analysis target.

[0019] Specifically, under the key dynamic analysis conditions, the airspace focus coefficient of each associated analysis airspace of a type of optimization analysis target is determined according to the airspace key correlation and the related protection coefficient, and the associated analysis airspace with an airspace focus coefficient greater than the preset airspace focus coefficient is recorded as the associated key airspace;

[0020] Determine a key execution strategy for a type of optimization analysis target based on the key airspace proportion index and the key distribution index;

[0021] The key dynamic analysis condition is that there is a type of optimization analysis target in the target management airspace.

[0022] Furthermore, if there is a type of optimization analysis target whose key interference coefficient is greater than the preset key interference coefficient, a dynamic isolation set of the type of optimization analysis target is determined based on the spatial domain intersection index and the existing distribution index to isolate the type of optimization analysis target in the execution conflict state;

[0023] The key interference coefficient is determined according to the key airspace proportion index and the key distribution index, and the key interference coefficient is positively correlated with the key airspace proportion index and the key distribution index respectively.

[0024] Furthermore, if there is a type of optimization analysis target whose key interference coefficient is less than or equal to the preset key interference coefficient, the matching analysis set is determined according to the spatial correlation coincidence index and the set distribution index, and the optimization matching method of each matching analysis set is determined according to the set matching richness coefficient to determine the optimized matching set of each matching analysis set;

[0025] The analysis aggregation coefficient of any matching analysis set is greater than a preset analysis aggregation coefficient, and the analysis aggregation coefficient is determined according to the spatial domain correlation coincidence index and the set distribution index.

[0026] Further, if there is a set matching richness coefficient of the matching analysis set that is greater than the preset set matching richness coefficient, an optimized execution set of the matching analysis set is determined based on the set auxiliary coefficient and the coverage overlap index;

[0027] If there is a matching analysis set whose set matching richness coefficient is less than or equal to the preset set matching richness coefficient, the optimized execution set of the matching analysis set is determined based on the set coverage index and the coverage overlap index.

[0028] Furthermore, under the isolation dynamic analysis condition, the execution risk coefficient of each risk analysis airspace of the second type of optimization analysis target is determined according to the execution allocation index and the key interference index, and whether to set a risk isolation area for each risk analysis airspace is determined according to the execution risk coefficient;

[0029] The isolation dynamic analysis condition is that there are two types of optimization analysis targets in the target management airspace.

[0030] Furthermore, if the execution risk coefficient of a risk analysis airspace is greater than a preset execution risk coefficient, a risk isolation area is set for the risk analysis airspace;

[0031] The risk isolation area is determined based on the existing correlation index and the subdomain intersection index.

[0032] Compared with the existing technology, the beneficial effect of the present invention lies in that the technical solution of the present invention determines the optimization management strategy of each optimization analysis target based on the task sudden interference index and the sudden protection index, and optimizes and adjusts the existing execution routes of each optimization analysis target through targeted optimization management strategies, ensuring that the optimization adjustment process can conform to the actual working scenario, and thus ensuring the effectiveness of the optimization results of the existing execution routes of each optimization analysis target. The present invention improves the effectiveness of the management of airspace resources in the process of airspace sharing between the two parties.

[0033] Furthermore, the present invention characterizes, according to the task sudden interference index and the sudden protection index, whether each optimization analysis target is greatly interfered by the existence of the key analysis target during the optimization process of the existing execution route or the degree of protection of the flight mission information of the key analysis target is greater, that is, it indicates the degree of limitation of the suddenness and integrity of the flight mission information of the key analysis target during the optimization process, so that the subsequent optimization process of the existing execution route of each optimization analysis target can be based on the actual restricted situation, and as much as possible in the case of shared airspace between the two parties, to ensure the safety and execution efficiency of the flight missions of each management target in the target management airspace.

[0034] Furthermore, the present invention adopts key dynamic analysis to optimize the existing execution route for a type of optimization analysis target. Since the optimization process of the flight mission of a type of optimization analysis target within the target optimization cycle is greatly interfered by the existence of the key analysis target or the protection level of the flight mission information of the key analysis target is relatively high, it is necessary to further target the impact of the key analysis target on different associated analysis airspaces, judge the areas in the existing execution route that are at greater risk of being interfered with by the key analysis target, that is, the associated key airspaces, and determine the key execution strategy of a type of optimization analysis target based on the key airspace proportion index and the key distribution index, to ensure that the optimization process can conform to the actual distribution of the associated key airspaces, and thus ensure the validity of the determined optimization results.

[0035] Furthermore, in the present invention, the key interference coefficient is determined by the key airspace proportion index and the key distribution index to characterize whether the existing execution routes of a type of optimization analysis target have a strong optimization demand as a whole, so as to avoid conflicts in airspace utilization during mission execution. For the case where the key interference coefficient is large, since there are more airspaces affected by the suddenness and uncertainty of the key analysis target's flight mission, it takes a large analysis demand to adjust the existing execution routes completely and it is easy to affect the mission execution process of other management targets. Therefore, the dynamic isolation set is determined based on the airspace intersection index and the existing distribution index to ensure that there are sufficient and suitable isolation areas for the actual existing execution routes for temporary isolation areas of a type of optimization analysis target that is in an execution conflict state. While ensuring the safety of each management target in the target management airspace performing flight missions, the analysis and processing efficiency of the optimization process is improved.

[0036] Furthermore, in the present invention, for the case where the key interference coefficient is small, since there are fewer airspaces in the existing execution routes of such optimization analysis targets that are affected by the suddenness and uncertainty of the key analysis targets' flight missions and the affected airspaces are distributed more concentratedly, by scheduling some of the existing execution routes, the degree of conflict between the optimization analysis targets and the key analysis targets is effectively reduced, and the optimization matching method of each matching analysis set is determined according to the set matching richness coefficient to ensure that the determined optimization matching set better meets the actual working scenario. The present invention improves the safety and execution efficiency of the flight missions of each management target in the target management airspace. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of the method for dynamic management of airspace resources by collaboration between two parties of the present invention;

[0038] Figure 2 This is a flow chart of the optimization management strategy for determining each optimization analysis target based on the task sudden interference index and the sudden protection index of the present invention;

[0039] Figure 3 A flowchart of a key execution strategy for determining each type of optimization analysis target according to a key interference coefficient of the present invention;

[0040] Figure 4 This is a flow chart of the present invention for determining an optimized matching method for each matching analysis set based on the set matching richness coefficient. DETAILED DESCRIPTION

[0041] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0042] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0043] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0044] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0045] See also Figures 1 to 4 As shown, the present invention provides a method for dynamic management of airspace resources in a collaborative manner, including:

[0046] Periodically determine the optimization management strategy for each optimization analysis target based on the mission sudden interference index and sudden protection index. The optimization management strategy is to optimize the existing routes using the key dynamic analysis method or the isolated dynamic analysis method.

[0047] During key dynamic analysis, the key execution strategy for each type of optimization analysis target is determined based on the key airspace proportion index and the key distribution index. The key execution strategy is to determine the dynamic isolation set of a type of optimization analysis target based on the airspace intersection index and the existing distribution index, or to determine the optimization matching method of each matching analysis set based on the set matching richness coefficient;

[0048] The optimized matching method is to determine the optimized execution set of the matching analysis set based on the set auxiliary coefficient and the coverage overlap index, or to determine the optimized execution set of the matching analysis set based on the set coverage index and the coverage overlap index;

[0049] During the isolation dynamic analysis, whether to set up a risk isolation area for each risk analysis airspace is determined based on the execution risk coefficient, and the risk isolation area is determined based on the existing relevant index and subdomain intersection index.

[0050] Among them, the present invention is used to manage airspace resources in the process of airspace sharing between two aviation parties. One of the two aviation parties sharing the airspace is civil aviation, and the other is other types of aviation. Among them, the flight mission information of the other aviation party needs to be encrypted to varying degrees. While ensuring the security requirements of aviation flight mission information during the management process, for the effective optimization of civil aviation flight routes, the airspace to be managed in the present invention is recorded as a target management airspace. There are several management targets for performing flight missions in the target management airspace. The categories of management targets in the present invention include key analysis targets and optimization analysis targets. The corresponding aircraft for performing flight missions that need to be encrypted in the target management airspace are recorded as key analysis targets, and the corresponding aircraft for performing civil aviation flight missions in the target management airspace are recorded as optimization analysis targets. In the present invention, each management target performs a flight mission based on the corresponding set flight mission information. The flight mission information includes the management target's response to the flight mission when performing the flight mission. The flight coordinate information set at each moment includes categories such as coordinate longitude, coordinate latitude, and coordinate altitude. The flight mission information corresponding to each optimization analysis target in the present invention can be fully obtained, but the flight mission information corresponding to each key analysis target needs to determine the target information protection parameter according to the working scenario to encrypt the flight mission information, thereby protecting the security of the flight mission information of the key analysis target. For a single key analysis target, the greater the confidentiality requirement of the flight mission corresponding to the key analysis target, the greater the value of the target information protection parameter. The target information protection parameter is the average value of the coordinate range parameter of the flight coordinate information set for each moment during the execution of the flight mission of the key analysis target. For a single moment, the coordinate range parameter = the absolute value of the difference between the maximum and minimum longitude values ​​in the flight coordinate information disclosed at that moment + the absolute value of the difference between the maximum and minimum latitude values ​​in the flight coordinate information disclosed at that moment;

[0051] Several airspace management records are applied in the present invention, and any airspace management record records the task sudden interference index, sudden protection index, associated key coefficient, key interference coefficient, reference interval index, relevant route parameters, analysis assembly coefficient, existing auxiliary coefficient, set execution effectiveness coefficient, set coverage effectiveness coefficient and execution risk coefficient in the process of airspace resource management for the target management airspace at least once, and each airspace management record corresponds to a qualified mark, which records whether the quality of airspace resource management for the target management airspace meets user requirements. It can be understood that users can determine whether the quality of airspace resource management for the target management airspace meets the requirements based on self-set indicators.

[0052] Specifically, the task sudden interference index and sudden protection index of each optimized analysis target in the target management airspace are periodically tested;

[0053] For a single optimization analysis target,

[0054] The task sudden interference index is the ratio of the number of optimization interference targets of the optimization analysis target to the number of management targets within the optimization evaluation range of the optimization analysis target;

[0055] The sudden protection index is the average value of the target information protection parameters of each optimized interference target of the optimization analysis target;

[0056] The optimization interference target is a key analysis target that exists within the optimization evaluation range of the optimization analysis target.

[0057] Among them, the present invention applies an existing monitoring cycle, and the length of the existing monitoring cycle can be determined by the user. The higher the user's requirements for the effectiveness of the optimization analysis results of the design parameters of the target analysis component, the shorter the length of the existing monitoring cycle. A value of the length of the existing monitoring cycle is provided. The length of the existing monitoring cycle is 15 minutes. At the starting time of each existing monitoring cycle, the task sudden interference index and the task protection index of each optimization analysis target associated with the target management airspace are detected to determine the optimization management strategy of each optimization analysis target within the time range of the corresponding existing monitoring cycle;

[0058] For a single optimization analysis target, the task sudden interference index = the number of optimization interference targets of the optimization analysis target / the number of management targets within the optimization evaluation range of the optimization analysis target. The optimization evaluation range is the spatial range corresponding to a sphere with the current position of the optimization analysis target as the center and the evaluation distance length as the radius. The value of the evaluation distance length can be determined by the user according to the actual work scenario. The higher the user's requirements for the quality of airspace resource management of the target management airspace, the larger the value of the evaluation distance length. A method for determining the value of the evaluation distance length is provided. The value of the evaluation distance length is positively correlated with the coordinate key coefficient of the optimization analysis target. The coordinate key coefficient is the number of times the current position of the optimization analysis target in the airspace management record is within the spatial range corresponding to the flight mission information of the key analysis target.

[0059] Specifically, if there is a task sudden interference index of the optimization analysis target that is greater than the preset task sudden interference index or a sudden protection index that is greater than the preset sudden protection index, the key dynamic analysis method is used to optimize the existing execution route of the optimization analysis target;

[0060] The optimization analysis target whose task sudden interference index is greater than the preset task sudden interference index or whose sudden protection index is greater than the preset sudden protection index is recorded as a type of optimization analysis target.

[0061] Specifically, if there is an optimization analysis target whose task sudden interference index is less than or equal to the preset task sudden interference index and whose sudden protection index is less than or equal to the preset sudden protection index, the isolated dynamic analysis method is used to optimize the existing execution route of the optimization analysis target;

[0062] The optimization analysis target whose task sudden interference index is less than or equal to the preset task sudden interference index and whose sudden protection index is less than or equal to the preset sudden protection index is recorded as the second type of optimization analysis target.

[0063] Among them, if the current moment is the starting moment of an existing monitoring cycle, the existing monitoring cycle is recorded as the target optimization cycle, and the optimization management strategy of each optimization analysis target within the target optimization cycle is determined according to the task sudden interference index and the sudden protection index, so as to optimize the existing execution route of each optimization analysis target. For a single optimization analysis target, the existing execution route is determined according to the flight mission information of the optimization analysis target obtained at the current moment, and the spatial range constructed based on the coordinate longitude range, coordinate latitude range and coordinate altitude range corresponding to each moment in the flight mission information is recorded as the existing execution route. How to determine the spatial range corresponding to the existing execution route according to the flight mission information is content that is easy for technicians in this field to understand and will not be elaborated here;

[0064] The values ​​of the preset task sudden interference index and the preset sudden protection index can be determined by the user according to the actual work scenario. For example, the user can set them according to the airspace management record. The higher the user's requirements for the airspace resource management quality of the target management airspace, the smaller the value of the preset task sudden interference index, and the smaller the value of the preset sudden protection index. A method for determining the value of the preset task sudden interference index is provided, and the airspace management record optimized for the existing execution route of the optimization analysis target using the key dynamic analysis method is recorded as a sudden reference record. The average value of the task sudden interference index of the optimization analysis target in the sudden reference record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset task sudden interference index. A method for determining the value of the preset sudden protection index is provided, and the average value of the sudden protection index of the optimization analysis target in the sudden reference record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset sudden protection index.

[0065] Specifically, under the key dynamic analysis conditions, the airspace key coefficients of each associated analysis airspace of a type of optimization analysis target are determined according to the airspace key correlation and the related protection coefficient, and the associated analysis airspace with an airspace key coefficient greater than the preset airspace key coefficient is recorded as the associated key airspace;

[0066] Determine a key execution strategy for a type of optimization analysis target based on the key airspace proportion index and the key distribution index;

[0067] The key dynamic analysis condition is that there is a type of optimization analysis target in the target management airspace.

[0068] Among them, for a single type of optimization analysis target that undergoes key dynamic analysis, since the task burst interference index or burst protection index of a type of analysis target is large, it indicates that the optimization process of the flight mission of a type of optimization analysis target within the target optimization cycle is greatly interfered by the existence of the key analysis target or the protection level of the flight mission information of the key analysis target is large. It is necessary to further fully consider the interference caused by the strong burstiness and poor integrity of the flight mission performed by the key analysis target in the optimization process to ensure the effectiveness of the optimization analysis results of the actual execution route of the target's flight mission;

[0069] For any associated analysis airspace of a single type of optimization analysis target, the airspace focus coefficient is the product of the airspace key relevance and the related protection coefficient. The airspace key relevance = the number of key analysis targets in the associated analysis airspace with existing execution routes / the number of management targets within the optimization evaluation scope of the type of optimization analysis target. The key analysis target in the associated analysis airspace with existing execution routes is recorded as the airspace associated target of the associated analysis airspace. The related protection coefficient is the average value of the target information protection parameters of each airspace associated target in the associated analysis airspace.

[0070] For a single type of optimization analysis target, the existing execution routes of the type of optimization analysis target are divided to obtain a number of associated analysis airspaces with the same spatial volume. The user can determine the number of associated analysis airspaces obtained by division according to actual work needs and set it. This is easy for those skilled in the art to understand and will not be elaborated on here. The key airspace proportion index = the number of associated key airspaces of the type of optimization analysis target / the number of associated analysis airspaces of the type of optimization analysis target; the key distribution index = the average value of the adjacent distribution parameters of each group of adjacent distribution airspaces of the type of optimization analysis target / the maximum value of the adjacent distribution parameters of each group of adjacent distribution airspaces of the type of optimization analysis target. If there is no other associated key airspace between any two associated key airspaces of the type of optimization analysis target along the extension direction of the existing execution route, the above two associated key airspaces are recorded as a group of adjacent distribution airspaces, and the interval distance between the centroids of the spatial areas corresponding to the above two associated key airspaces is recorded as the adjacent distribution parameter of the group of adjacent distribution airspaces;

[0071] The value of the preset airspace focus coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the airspace management record. The higher the user's requirement for the airspace resource management quality of the target management airspace, the smaller the value of the preset airspace focus coefficient. A method for determining the value of the preset airspace focus coefficient is provided, and the average value of each associated key coefficient in the airspace of each associated key area in the airspace management record that meets the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset management focus coefficient.

[0072] Specifically, if there is a type of optimization analysis target whose key interference coefficient is greater than the preset key interference coefficient, a dynamic isolation set of the type of optimization analysis target is determined based on the spatial domain intersection index and the existing distribution index to isolate the type of optimization analysis target in the execution conflict state;

[0073] The key interference coefficient is determined according to the key airspace proportion index and the key distribution index, and the key interference coefficient is positively correlated with the key airspace proportion index and the key distribution index respectively.

[0074] Among them, for a single type of optimization analysis target, the key interference coefficient = ln (key airspace proportion index × key distribution index), that is, the natural logarithm of the product of the key airspace proportion index and the key distribution index. If the key interference coefficient of this type of optimization analysis target is greater than the preset key interference coefficient, it indicates that there are many airspaces in the existing execution routes of this type of optimization analysis target that are affected by the suddenness and uncertainty of the flight mission executed by the key analysis target, and the distribution of the affected airspaces is relatively dispersed, which further indicates that the existing execution routes of this type of optimization analysis target need to be optimized to a high degree overall. Scheduling only for part of the airspace within the existing execution routes cannot effectively ensure the degree of conflict between the optimization analysis target and the key analysis target. Therefore, it is necessary to determine the dynamic isolation area of ​​this type of optimization analysis target based on actual work scenarios. When there is a conflict with the key analysis target during the flight mission, temporary isolation and docking are performed to ensure the mission execution safety between the optimization analysis target and the key analysis target.

[0075] The present invention applies an execution monitoring cycle, and the duration of the execution monitoring cycle can be determined by the user. The higher the user's requirements for the airspace resource management quality of the target management airspace, the shorter the duration of the execution monitoring cycle. A value of the duration of the execution monitoring cycle is provided, and the duration of the execution monitoring cycle is 15 minutes. At the end of each execution monitoring cycle, it is determined whether each optimization analysis target is in an execution conflict state. For a single optimization analysis target, if there is a key analysis target with a key interval index less than a preset key interval index for the optimization analysis target, then the optimization analysis target is determined to be in an execution conflict state. For a single key analysis target, the key interval index is the distance between the optimization analysis target and the position of the key analysis target at the moment of determining whether it is in an execution conflict state;

[0076] The values ​​of the preset key interference coefficient and the preset key interval index can be determined by the user according to the actual working scenario. For example, the user can set them according to the airspace management record. The higher the user's requirements for the airspace resource management quality of the target management airspace, the larger the value of the preset key interval index. A method for determining the value of the preset key interference coefficient is provided, and the airspace management record of the dynamic isolation set of the optimization analysis target of this type determined based on the airspace intersection index and the existing distribution index is recorded as the key reference record. The average value of the key interference coefficients of each type of optimization analysis target in the key reference record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset key interference coefficient. A method for determining the value of the preset key interval index is provided, and the average value of the reference interval index of each type of optimization analysis target in the key reference record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset key interval index. For a single type of optimization analysis target in an execution conflict state, the reference interval index is the minimum value of the key interval indexes of the type of optimization analysis target and each key analysis target;

[0077] The target management airspace is evenly divided into several rectangular blocks with the same spatial volume, and recorded as sub-management airspaces. For a type of optimization analysis target whose single key interference coefficient is greater than the preset key interference coefficient, the dynamic isolation set is a set of several sub-management airspaces. The isolation priority coefficient of each sub-management airspace in any dynamic isolation set is greater than the preset isolation priority coefficient. For a single sub-management airspace, the isolation priority coefficient = existing distribution index / airspace intersection index. The airspace intersection index is the number of key intersection coordinates within the isolation evaluation range of the sub-management airspace. The existing distribution index is the number of associated analysis airspaces of this type of optimization analysis target within the isolation evaluation range of the sub-management airspace. The isolation evaluation range is a sphere with the center of gravity corresponding to the sub-management airspace as the sphere center and the isolation evaluation distance as the radius. The present invention does not make specific settings for the value of the isolation evaluation distance. The user can set it according to the actual work scenario. The higher the user's requirements for the airspace resource management quality of the target management airspace, the larger the value of the isolation evaluation distance. The existing execution route of the optimized interference target of this type of optimization analysis target is obtained. For a single flight coordinate information, if the relevant route parameter of the flight coordinate information is greater than the preset relevant route parameter, the flight coordinate information is recorded as the key intersection coordinate. The relevant route parameter is the number of optimized interference targets corresponding to the existing execution route with the flight coordinate information;

[0078] The values ​​of the preset related route parameters and the preset isolation priority coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the airspace management record. The higher the user's requirements for the airspace resource management quality of the target management airspace, the larger the values ​​of the preset related route parameters and the larger the value of the preset isolation priority coefficient. A method for determining the values ​​of the preset related route parameters is provided, and the average value of the related route parameters of each key intersection coordinate in the airspace management record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset related route parameter. A value of the preset isolation priority coefficient is provided, and the minimum value of the isolation priority coefficient of any sub-management airspace in the dynamic isolation set in the airspace management record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset isolation priority coefficient.

[0079] Specifically, if there is a type of optimization analysis target whose key interference coefficient is less than or equal to the preset key interference coefficient, the matching analysis set is determined according to the spatial correlation coincidence index and the set distribution index, and the optimization matching method of each matching analysis set is determined according to the set matching richness coefficient to determine the optimized matching set of each matching analysis set;

[0080] The analysis aggregation coefficient of any matching analysis set is greater than a preset analysis aggregation coefficient, and the analysis aggregation coefficient is determined according to the spatial domain correlation coincidence index and the set distribution index.

[0081] Among them, for a single type of optimization analysis target, if the key interference coefficient of the type of optimization analysis target is less than or equal to the preset key interference coefficient, it indicates that there are fewer airspaces in the existing execution routes of the type of optimization analysis target that are affected by the suddenness and uncertainty of the key analysis target's flight mission, and the affected airspaces are distributed more concentratedly, which further indicates that the existing execution routes of the type of optimization analysis target only need to be scheduled for part of the airspace within the existing execution routes to effectively reduce the degree of conflict between the optimization analysis target and the key analysis target. For each matching analysis set, an optimized matching set is determined as the airspace that can replace the flight mission in the process of airspace resource management. After determining the optimized matching set, how to specifically perform airspace resource management is content that is easy for technicians in this field to understand;

[0082] For a type of optimization analysis target with a single key interference coefficient less than or equal to a preset key interference coefficient, the matching analysis set consists of several associated key airspaces. For a single matching analysis set, the analysis aggregation coefficient is the product of the airspace association coincidence index and the set distribution index. The airspace association coincidence index = the number of airspace association targets existing in all associated key airspaces in the matching analysis set / the number of different airspace association targets existing in all associated key airspaces in the matching analysis set. The set distribution index is the average value of the adjacent distribution parameters of each group of adjacent distributed airspaces in the matching analysis set.

[0083] The value of the preset analysis aggregation coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the airspace management record. The higher the user's requirements for the airspace resource management quality of the target management airspace, the larger the value of the preset analysis aggregation coefficient. A method for determining the value of the preset analysis aggregation coefficient is provided, and the average value of the analysis aggregation coefficient of each matching analysis set in the airspace management record that meets the user's requirements for the airspace resource management quality of the target management airspace is recorded as the preset analysis aggregation coefficient.

[0084] Specifically, if there is a set matching richness coefficient of the matching analysis set that is greater than the preset set matching richness coefficient, the optimized execution set of the matching analysis set is determined based on the set auxiliary coefficient and the coverage overlap index;

[0085] If there is a matching analysis set whose set matching richness coefficient is less than or equal to the preset set matching richness coefficient, the optimized execution set of the matching analysis set is determined based on the set coverage index and the coverage overlap index.

[0086] Among them, for a single matching analysis set, the set matching richness coefficient is the number of airspaces to be matched in the matching analysis set, the airspace to be matched is a sub-managed airspace whose existing auxiliary coefficient is greater than the preset existing auxiliary coefficient, and the existing auxiliary coefficient of each sub-managed airspace is determined according to the existing execution flow parameter and the existing execution interference parameter. For a single sub-managed airspace, the existing auxiliary coefficient = the existing execution interference parameter of the sub-managed airspace / the existing execution flow parameter of the sub-managed airspace, the existing execution flow parameter is the number of management targets corresponding to the existing execution routes containing the sub-managed airspace obtained within the target optimization period, and the existing execution interference parameter is the number of associated key airspaces in the matching analysis set that exist within the interference assessment range of the sub-managed airspace;

[0087] For a single matching analysis set, if the set matching richness coefficient of the matching analysis set is greater than the preset set matching richness coefficient, it indicates that the matching analysis set has more sub-management areas that can effectively reduce the flight mission allocation pressure and execution risk of the associated key airspace and have a low degree of interference with the flight mission execution process after replacement. While ensuring the effectiveness of the determined optimized matching set, the impact on the existing execution routes is minimized as much as possible, and the interference with the task execution of other management targets is reduced. The set execution effectiveness coefficient of the optimized execution set of the matching analysis set is greater than the preset set execution effectiveness coefficient. The set execution effectiveness coefficient is determined based on the set auxiliary coefficient and the coverage overlap index. The set execution effectiveness coefficient is the sum of the set auxiliary coefficient and the coverage overlap index. The set auxiliary coefficient is the average of the existing auxiliary coefficients of each sub-management airspace in the optimized execution set. The coverage overlap index is the average of the coverage overlap parameters of each sub-management airspace in the optimized execution set. For a single sub-management area, the coverage overlap parameter = the number of coverage overlapping airspaces of the sub-management airspace / the number of associated key airspaces in the matching analysis set that exist within the interference assessment range of the sub-management airspace. If an associated key airspace exists within the interference assessment range of the sub-management airspace and any sub-management airspace in the optimized execution set, the associated key airspace is recorded as the coverage overlapping airspace of the sub-management airspace.

[0088] For a single matching analysis set, if the set matching richness coefficient of the matching analysis set is less than or equal to the preset set matching richness coefficient, it indicates that the matching analysis set has relatively limited sub-management areas that can effectively reduce the flight mission allocation pressure and execution risk of the associated key airspace, and it is necessary to reduce the flight mission allocation pressure and execution risk of the matching analysis set as much as possible based on the limited airspace to be matched. The set coverage effectiveness coefficient of the optimized execution set of the matching analysis set is greater than the preset set coverage effectiveness coefficient, and the set coverage effectiveness coefficient is determined based on the set coverage index and the coverage overlap index. The set coverage effectiveness coefficient is the sum of the set coverage index and the coverage overlap index. The set coverage index = the number of associated key airspaces in the matching analysis set that exist within the interference assessment range of the sub-management airspace in the optimized execution set / the number of associated key areas contained in the matching analysis set;

[0089] The values ​​of the preset existing auxiliary coefficient, the preset set execution effectiveness coefficient and the preset set coverage effectiveness coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the airspace management record. The higher the user's requirements for the quality of airspace resource management of the target management airspace, the larger the value of the preset existing auxiliary coefficient, the larger the value of the preset set execution effectiveness coefficient, and the larger the value of the preset set coverage effectiveness coefficient. A method for determining the value of the preset existing auxiliary coefficient is provided, and the average value of the existing auxiliary coefficients of the airspace to be matched in the airspace management record that meets the user's requirements for the quality of airspace resource management of the target management airspace is recorded as the preset existing auxiliary coefficient. A method for determining the value of the preset set execution effectiveness coefficient is provided, and the basic The airspace management record of the optimized execution set of the matching analysis set determined based on the set auxiliary coefficient and the coverage overlap index is recorded as the execution reference record, the average value of the set execution effectiveness coefficients of each optimized execution set in the execution reference record that meets the user's airspace resource management quality requirements for the target management airspace is recorded as the preset set execution effectiveness coefficient, and a method for obtaining the value of the preset set coverage effectiveness coefficient is provided. The airspace management record of the optimized execution set of the matching analysis set determined based on the set coverage index and the coverage overlap index is recorded as the coverage reference record, and the average value of the set coverage effectiveness coefficients of each optimized execution set in the execution reference record that meets the user's airspace resource management quality requirements for the target management airspace is recorded as the preset set coverage effectiveness coefficient.

[0090] Specifically, under the isolation dynamic analysis condition, the execution risk coefficient of each risk analysis airspace of the second type of optimization analysis target is determined according to the execution allocation index and the key interference index, and whether to set a risk isolation area for each risk analysis airspace is determined according to the execution risk coefficient;

[0091] The isolation dynamic analysis condition is that there are two types of optimization analysis targets in the target management airspace.

[0092] Among them, for the second-class optimization analysis target that is subjected to a single isolated dynamic analysis, since the task sudden interference index and sudden protection index of the second-class analysis target are both small, it indicates that the optimization process of the flight mission of the second-class optimization analysis target within the target optimization cycle is less affected by the existence of the key analysis target, and the degree of protection of the flight mission information of the key analysis target with interference is also small. For the optimization process of the second-class optimization analysis target, the flight mission allocation pressure and interference risk of different parts of the existing execution route of the associated analysis airspace are analyzed to ensure the effectiveness of the optimization analysis results of the actual execution route of the target flight mission.

[0093] For a single second-category optimization analysis target, the existing execution routes of the second-category optimization analysis target are divided to obtain several risk analysis airspaces with the same spatial volume. For a single risk analysis airspace, the execution risk coefficient = execution allocation index × key interference index, the execution allocation index = the number of management targets of the corresponding existing execution routes in the risk analysis airspace / the number of management targets in the target management airspace, and the key interference index is the average value of the shortest distance between the center of gravity of the risk analysis airspace and the existing execution routes of the optimization interference targets of the second-category optimization analysis target.

[0094] Specifically, if the execution risk coefficient of a risk analysis airspace is greater than the preset execution risk coefficient, a risk isolation area is set for the risk analysis airspace;

[0095] The risk isolation area is determined based on the existing correlation index and the subdomain intersection index.

[0096] Among them, for the risk analysis area with a single execution risk coefficient greater than the preset execution risk coefficient, the risk isolation area is the sub-management airspace with the largest isolation priority coefficient. For a single sub-management airspace, the isolation priority coefficient is the product of the existing correlation index and the sub-domain intersection index. The existing correlation index is the number of risk analysis airspaces of the two types of optimization analysis targets within the isolation evaluation range of the sub-management airspace. The sub-domain intersection index is the average value of the interval distances between the centroid of the sub-management airspace and the key intersection coordinates within the isolation evaluation range of the sub-management airspace. If the execution risk coefficient of the risk analysis area is greater than the preset execution risk coefficient, it indicates that the risk analysis area is more likely to be affected by the key analysis target during the execution of the flight mission. In order to prevent mission conflicts, a risk isolation area is reserved to provide a temporary docking area for the two types of optimization analysis targets in the execution conflict state;

[0097] The value of the preset execution risk coefficient can be determined by the user according to the actual work scenario. For example, the user can set it according to the airspace management record. The higher the user's requirements for the quality of airspace resource management of the target management airspace, the smaller the value of the preset execution risk coefficient. A method for setting the value of the preset execution risk coefficient is provided, and the airspace management record for setting the risk isolation area for the risk analysis airspace is recorded as a risk reference record. The minimum value of the execution risk coefficient in the risk reference record that meets the user's requirements for the quality of airspace resource management of the target management airspace is recorded as the preset execution risk coefficient.

[0098] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0099] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for dynamic management of airspace resources in a collaborative manner, characterized in that: include: Periodically determine the optimization management strategy for each optimization analysis target based on the mission sudden interference index and sudden protection index. The optimization management strategy is to optimize the existing routes using the key dynamic analysis method or the isolated dynamic analysis method. During key dynamic analysis, the key execution strategy for each type of optimization analysis target is determined based on the key airspace proportion index and the key distribution index. The key execution strategy is to determine the dynamic isolation set of a type of optimization analysis target based on the airspace intersection index and the existing distribution index, or to determine the optimization matching method of each matching analysis set based on the set matching richness coefficient; The optimized matching method is to determine the optimized execution set of the matching analysis set based on the set auxiliary coefficient and the coverage overlap index, or to determine the optimized execution set of the matching analysis set based on the set coverage index and the coverage overlap index; During the isolation dynamic analysis, the execution risk coefficient is used to determine whether to set up a risk isolation area for each risk analysis airspace, and the risk isolation area is determined based on the existing relevant index and subdomain intersection index; For a single optimization analysis target, The task sudden interference index is the ratio of the number of optimization interference targets of the optimization analysis target to the number of management targets within the optimization evaluation range of the optimization analysis target; The sudden protection index is the average value of the target information protection parameters of each optimized interference target of the optimization analysis target; The optimization interference target is a key analysis target that exists within the optimization evaluation range of the optimization analysis target; For a single type of optimization analysis target, the key airspace proportion index = the number of associated key airspaces of the type of optimization analysis target / the number of associated analysis airspaces of the type of optimization analysis target; the key distribution index = the average value of the adjacent distribution parameters of each group of adjacent distribution airspaces of the type of optimization analysis target / the maximum value of the adjacent distribution parameters of each group of adjacent distribution airspaces of the type of optimization analysis target; For a single sub-management airspace, the airspace intersection index is the number of key intersection coordinates existing in the isolated evaluation range of the sub-management airspace, the existing distribution index is the number of associated analysis airspaces of the first type of optimization analysis target within the isolated evaluation range of the sub-management airspace, the existing correlation index is the number of risk analysis airspaces of the second type of optimization analysis target within the isolated evaluation range of the sub-management airspace, and the sub-domain intersection index is the average of the interval distances between the center of gravity of the sub-management airspace and the key intersection coordinates existing in the isolated evaluation range of the sub-management airspace; For a single matching analysis set, the set matching richness coefficient is the number of airspaces to be matched in the matching analysis set, the set auxiliary coefficient is the average value of the existing auxiliary coefficients of each sub-management airspace in the optimized execution set, the coverage overlap index is the average value of the coverage overlap parameters of each sub-management airspace in the optimized execution set, and the set coverage index = the number of associated key airspaces in the matching analysis set within the interference assessment range of the sub-management airspace in the optimized execution set / the number of associated key areas contained in the matching analysis set; For a single risk analysis airspace, the execution risk coefficient = execution allocation index × key interference index, where the execution allocation index = the number of management targets in the corresponding existing execution routes for the risk analysis airspace / the number of management targets in the target management airspace. The key interference index is the average value of the shortest distances between the center of gravity of the risk analysis airspace and the existing execution routes of the optimized interference targets of the two types of optimization analysis targets. The optimization analysis target whose task sudden interference index is greater than the preset task sudden interference index or whose sudden protection index is greater than the preset sudden protection index is recorded as a type of optimization analysis target; The optimization analysis target whose task sudden interference index is less than or equal to the preset task sudden interference index and whose sudden protection index is less than or equal to the preset sudden protection index is recorded as the second type of optimization analysis target.

2. The method for dynamic management of airspace resources by two parties according to claim 1, characterized in that: Periodically test the task sudden interference index and sudden protection index of each optimized analysis target in the target management airspace.

3. The method for dynamic management of airspace resources by two parties according to claim 2, characterized in that: If there is a task sudden interference index of the optimization analysis target that is greater than the preset task sudden interference index or the sudden protection index is greater than the preset sudden protection index, the key dynamic analysis method is used to optimize the existing execution route of the optimization analysis target.

4. The method for dynamic management of airspace resources by two parties according to claim 3, characterized in that: If there is an optimization analysis target whose task sudden interference index is less than or equal to the preset task sudden interference index and whose sudden protection index is less than or equal to the preset sudden protection index, the isolated dynamic analysis method is used to optimize the existing execution route of the optimization analysis target.

5. The method for dynamic management of airspace resources by mutual collaboration according to claim 3, characterized in that: Specifically, under the key dynamic analysis conditions, the airspace key coefficients of each associated analysis airspace of a type of optimization analysis target are determined according to the airspace key correlation and the related protection coefficient, and the associated analysis airspace with an airspace key coefficient greater than the preset airspace key coefficient is recorded as the associated key airspace; Determine a key execution strategy for a type of optimization analysis target based on the key airspace proportion index and the key distribution index; The key dynamic analysis condition is that there is a type of optimization analysis target in the target management airspace; For any associated analysis airspace of a single type of optimization analysis target, the airspace focus coefficient is the product of the airspace key correlation and the related protection coefficient, the airspace key correlation = the number of key analysis targets in the associated analysis airspace with existing execution routes / the number of management targets within the optimization evaluation range of this type of optimization analysis target. The key analysis targets in the associated analysis airspace with existing execution routes are recorded as the airspace associated targets of the associated analysis airspace, and the related protection coefficient is the average value of the target information protection parameters of each airspace associated target in the associated analysis airspace.

6. The method for dynamic management of airspace resources by mutual collaboration according to claim 5, characterized in that: If there is a type of optimization analysis target whose key interference coefficient is greater than the preset key interference coefficient, a dynamic isolation set of the type of optimization analysis target is determined based on the spatial domain intersection index and the existing distribution index to isolate the type of optimization analysis target in the execution conflict state; The key interference coefficient is determined according to the key airspace proportion index and the key distribution index, and the key interference coefficient is positively correlated with the key airspace proportion index and the key distribution index respectively.

7. The method for dynamic management of airspace resources by mutual collaboration according to claim 6, characterized in that: If there is a type of optimization analysis target whose key interference coefficient is less than or equal to the preset key interference coefficient, the matching analysis set is determined according to the spatial correlation coincidence index and the set distribution index, and the optimization matching method of each matching analysis set is determined according to the set matching richness coefficient to determine the optimized matching set of each matching analysis set; The analysis aggregation coefficient of any matching analysis set is greater than a preset analysis aggregation coefficient, and the analysis aggregation coefficient is determined according to the spatial domain correlation coincidence index and the set distribution index; For a single matching analysis set, the analysis clustering coefficient is the product of the spatial association overlap index and the set distribution index, where the spatial association overlap index = the number of spatial association targets existing in each associated key airspace in the matching analysis set / the number of different spatial association targets existing in each associated key airspace in the matching analysis set, and the set distribution index is the average value of the adjacent distribution parameters of each group of adjacent distribution airspaces in the matching analysis set.

8. The method for dynamic management of airspace resources by mutual collaboration according to claim 7, characterized in that: If there is a set matching richness coefficient of the matching analysis set that is greater than the preset set matching richness coefficient, determining the optimized execution set of the matching analysis set based on the set auxiliary coefficient and the coverage overlap index; If there is a matching analysis set whose set matching richness coefficient is less than or equal to the preset set matching richness coefficient, the optimized execution set of the matching analysis set is determined based on the set coverage index and the coverage overlap index.

9. The method for dynamic management of airspace resources by two parties according to claim 4, characterized in that: Under the isolation dynamic analysis condition, the execution risk coefficient of each risk analysis airspace of the second type of optimization analysis target is determined according to the execution allocation index and the key interference index, and whether to set a risk isolation area for each risk analysis airspace is determined according to the execution risk coefficient; The isolation dynamic analysis condition is that there are two types of optimization analysis targets in the target management airspace.

10. The method for dynamic management of airspace resources by mutual collaboration according to claim 9, characterized in that: If the execution risk coefficient of a risk analysis airspace is greater than the preset execution risk coefficient, a risk isolation area will be set for the risk analysis airspace; The risk isolation area is determined based on the existing correlation index and the subdomain intersection index.

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