Airspace resource dynamic management method based on cooperation of two parties

Abstract

The invention relates to the technical field of aviation management and control, in particular to a two-party cooperative airspace resource dynamic management method, which comprises the following steps: periodically determining an optimization management strategy of each optimization analysis target based on a task burst interference index and a burst protection index; during key dynamic analysis, a key execution strategy of each class of optimization analysis targets is determined according to the key airspace proportion index and the key distribution index, and the key execution strategy is a dynamic isolation set of one class of optimization analysis targets determined based on the airspace intersection index and the existing distribution index, or is a dynamic isolation set of the other class of optimization analysis targets determined based on the airspace intersection index and the existing distribution index. Determining an optimized matching mode of each matching analysis set according to the set matching richness coefficient; and during isolation dynamic analysis, whether a risk isolation area is set for each risk analysis airspace is determined according to the execution risk coefficient, and the management effectiveness of airspace resources in the airspace sharing process of the two parties is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air traffic control, and particularly to a method for dynamically managing airspace resources with two - party collaboration. Background Art

[0002] To ensure the effective utilization of airspace resources, it is proposed to achieve airspace sharing between two parties in aviation. To achieve airspace sharing between two parties, it is necessary to dynamically manage the route for task execution during the flight mission, so as to avoid excessive impact on the flight mission execution while ensuring the utilization rate of airspace resources. However, in the actual process of dynamically managing airspace resources, some aviation flight tasks need to be encrypted to varying degrees, and there are situations where flight tasks are suddenly executed, resulting in the inability to fully obtain all flight task information in the actual management process. Therefore, how to ensure the quality of dynamic management of airspace resources in the case of poor integrity of route flight task information is an urgent problem for those skilled in the art.

[0003] Chinese Patent Publication No. CN115662198A discloses a method and system for crossing civil aviation routes based on a dynamic path planning field. According to the flight plan of civil aviation, this method constructs a dynamic civil aviation traffic flow prediction distribution through grid division, initializes and constructs a path planning field with the departure position and target position of the crossing aircraft, and calculates the optimal smooth crossing path of the current position node of the crossing aircraft by minimizing the cumulative flight cost; The present invention analyzes from the predicted civil aviation flight track or the pre - flight plan, constructs and updates the path planning field, conducts dynamic obstacle avoidance with the goal of minimizing the crossing cost, and obtains the optimal path according to the current position node of the crossing aircraft, and can perform the optimal smooth crossing route for the crossing aircraft to cross the civil aviation route in advance. However, the above - mentioned solution has the following problems: It fails to ensure the quality of dynamic management of airspace resources during the process of airspace sharing between two parties in aviation when the integrity of aviation flight task information is poor. Summary of the Invention

[0004] Therefore, the present invention provides a method for dynamically managing airspace resources with two - party collaboration to overcome the problem in the prior art that the quality of dynamic management of airspace resources during the process of airspace sharing between two parties in aviation cannot be ensured when the integrity of aviation flight task information is poor.

[0005] To achieve the above object, the present invention provides a method for dynamically managing airspace resources with two - party collaboration, including: Periodically determining the optimization management strategy for each optimization analysis target based on the task sudden interference index and the sudden protection index, and the optimization management strategy is to optimize the existing route by adopting a key dynamic analysis method or an isolation dynamic analysis method; During critical dynamic analysis, determine the critical execution strategies for each type-I optimization analysis target based on the critical airspace occupancy index and the critical distribution index. The critical execution strategy is to determine the dynamic isolation set of the type-I optimization analysis target based on the airspace intersection index and the existing distribution index, or to determine the optimized matching method for each matching analysis set according to the set matching enrichment coefficient; The optimized matching method is to determine the optimized execution set of the matching analysis set based on the set assistance 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 isolation dynamic analysis, determine whether to set up risk isolation areas for each risk analysis airspace according to the execution risk coefficient, and determine the risk isolation areas based on the existing relevant index and the sub-domain intersection index.

[0006] Furthermore, periodically detect the task burst interference index and the burst protection index for each optimization analysis target in the target management airspace; For a single optimization analysis target, The task burst interference index is the proportion of the number of optimized interference targets of this optimization analysis target in the number of management targets within the optimization evaluation range of this optimization analysis target; The burst protection index is the average value of the target information protection parameters of each optimized interference target of this optimization analysis target; The optimized interference target is a critical analysis target existing within the optimization evaluation range of this optimization analysis target.

[0007] Furthermore, if the task burst interference index of an optimization analysis target is greater than the preset task burst interference index or the burst protection index is greater than the preset burst protection index, then use the critical dynamic analysis method to optimize the existing execution route of this optimization analysis target; An optimization analysis target with a task burst interference index greater than the preset task burst interference index or a burst protection index greater than the preset burst protection index is recorded as a type-I optimization analysis target.

[0008] Furthermore, if the task burst interference index of an optimization analysis target 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, then use the isolation dynamic analysis method to optimize the existing execution route of this optimization analysis target; An optimization analysis target with a task burst interference index less than or equal to the preset task burst interference index and a burst protection index less than or equal to the preset burst protection index is recorded as a type-II optimization analysis target.

[0009] Further, specifically, under the condition of key dynamic analysis, the airspace key coefficient of each associated analysis airspace of a class of optimized analysis objectives is determined according to the airspace key relevance and the relevant 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; The key execution strategy of a class of optimized analysis objectives is determined according to the key airspace occupancy index and the key distribution index; The key dynamic analysis condition is that there is a class of optimized analysis objectives in the target management airspace.

[0010] Further, if the key interference coefficient of a class of optimized analysis objectives is greater than the preset key interference coefficient, the dynamic isolation set of this class of optimized analysis objectives is determined based on the airspace intersection index and the existing distribution index to isolate the class of optimized analysis objectives in an execution conflict state; The key interference coefficient is determined according to the key airspace occupancy index and the key distribution index, and the key interference coefficient is positively correlated with the key airspace occupancy index and the key distribution index respectively.

[0011] Further, if the key interference coefficient of a class of optimized analysis objectives is less than or equal to the preset key interference coefficient, the matching analysis set is determined according to the airspace association coincidence index and the set distribution index, and the optimized matching method of each matching analysis set is determined according to the set matching enrichment coefficient to determine the optimized matching set of each matching analysis set; The analysis aggregation coefficient of any matching analysis set is greater than the preset analysis aggregation coefficient, and the analysis aggregation coefficient is determined according to the airspace association coincidence index and the set distribution index.

[0012] Further, if the set matching enrichment coefficient of a matching analysis set is greater than the preset set matching enrichment coefficient, the optimized execution set of this matching analysis set is determined based on the set auxiliary coefficient and the coverage overlap index; If the set matching enrichment coefficient of a matching analysis set is less than or equal to the preset set matching enrichment coefficient, the optimized execution set of this matching analysis set is determined based on the set coverage index and the coverage overlap index.

[0013] Further, under the condition of isolation dynamic analysis, the execution risk coefficient of each risk analysis airspace of a class of optimized analysis objectives 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 is a class of optimized analysis objectives in the target management airspace.

[0014] Further, 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 this risk analysis airspace; The risk isolation area is determined based on the existing relevant index and the sub-domain intersection index.

[0015] Compared with the prior art, the beneficial effect of the present invention is that in the technical solution of the present invention, the optimization management strategy for each optimization analysis target is determined based on the task burst interference index and the burst protection index, and the existing execution route of each optimization analysis target is optimized and adjusted through the targeted optimization management strategy, ensuring that the optimization adjustment process can conform to the actual working scenario, and further ensuring the effectiveness of the optimization result of the existing execution route of each optimization analysis target. The present invention improves the management effectiveness of airspace resources during the process of bilateral aviation sharing airspace.

[0016] Furthermore, in the present invention, according to the task burst interference index and the burst protection index, it is characterized that during the optimization process of the existing execution route of each optimization analysis target, the interference from the key analysis target is relatively large or the protection degree of the flight task information of the key analysis target is relatively large, that is, it indicates the degree of limitation of the suddenness and integrity of the flight task 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 limited situation, and as much as possible under the condition of bilateral aviation sharing airspace, ensure the safety and execution efficiency of each management target executing flight tasks within the target management airspace.

[0017] Furthermore, in the present invention, for a type of optimization analysis target, key dynamic analysis is adopted to optimize the existing execution route. Since the optimization process of the flight task of a type of optimization analysis target is relatively greatly interfered by the key analysis target or the protection degree of the flight task information of the key analysis target is relatively large during the target optimization period, it is necessary to further judge the area in its existing execution route that is at a relatively high risk of being interfered by the key analysis target, that is, the associated key airspace, according to the influence of the key analysis target on different associated analysis airspaces, and determine the key execution strategy of a type of optimization analysis target according to the key airspace occupancy index and the key distribution index, ensuring that the optimization process can conform to the distribution of the actual associated key airspace, and further ensuring the effectiveness of the determined optimization result.

[0018] Furthermore, in the present invention, the key interference coefficient is determined through the key airspace occupancy index and the key distribution index to characterize whether the existing execution routes of a class of optimization analysis targets have relatively strong optimization requirements as a whole, so as to avoid conflicts in airspace utilization during the task execution process. For the case where the key interference coefficient is relatively large, since a large amount of airspace is affected by the suddenness and unpredictability of the flight tasks executed by the key analysis targets, completely adjusting the existing execution routes requires a large amount of analysis and is likely to affect the task execution process of other management targets. Therefore, based on the airspace intersection index and the existing distribution index, a dynamic isolation set is determined to ensure that there is a sufficient and suitable isolation area for the temporary isolation of a class of optimization analysis targets in an execution conflict state in the actual existing execution routes. While ensuring the safety of the flight tasks executed by each management target in the target management airspace, the analysis and processing efficiency of the optimization process is improved.

[0019] Furthermore, in the present invention, for the case where the key interference coefficient is relatively small, since there is less airspace affected by the suddenness and unpredictability of the flight tasks executed by the key analysis targets in the existing execution routes of such optimization analysis targets and the affected airspace is relatively concentrated, by scheduling some of the existing execution routes, the conflict degree between the optimization analysis target and the key analysis target 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 tasks executed by each management target in the target management airspace. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the dynamic management method of airspace resources for the cooperation between both parties of the present invention; Figure 2 It is a flowchart 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; Figure 3 It is a flowchart of the key execution strategy for determining each class of optimization analysis target according to the key interference coefficient of the present invention; Figure 4 It is a flowchart of the optimization matching method for determining each matching analysis set according to the set matching richness coefficient of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0023] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for 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, and therefore should not be construed as a limitation of the present invention.

[0024] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0025] Please refer to Figures 1 to 4 As shown, the present invention provides a method for dynamically managing airspace resources with two-party collaboration, including: Periodically determining the optimization management strategy for each optimization analysis target based on the task burst interference index and the burst protection index. The optimization management strategy is to optimize the existing air routes by using the key dynamic analysis method or the isolation dynamic analysis method; During key dynamic analysis, determining the key execution strategy for each type-I optimization analysis target according to the key airspace occupancy index and the key distribution index. The key execution strategy is to determine the dynamic isolation set of the type-I optimization analysis target based on the airspace intersection index and the existing distribution index, or to determine the optimization matching method for each matching analysis set according to the set matching enrichment coefficient; The optimization 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 isolation dynamic analysis, determining whether to set a risk isolation area for each risk analysis airspace according to the execution risk coefficient, and determining the risk isolation area based on the existing relevant index and the sub-domain intersection index.

[0026] Among them, the present invention is used for airspace resource management during the process of bilateral aviation sharing airspace. One of the two parties of the shared airspace is civil aviation, and the other party is other types of aviation. Among them, the flight mission information of the other party's aviation needs to be encrypted to varying degrees. While ensuring the security requirements of the aviation flight mission information during the management process, for the effective optimization of the civil aviation flight route, in the present invention, the airspace to be managed is denoted as the target management airspace. There are several management targets 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 aircraft used to perform flight missions that need to be encrypted in the target management airspace is denoted as the key analysis target, and the aircraft used to perform civil aviation flight missions in the target management airspace is denoted as the optimization analysis target. In the present invention, each management target performs flight missions based on the corresponding set flight mission information. The flight mission information includes the flight coordinate information set for each moment when the management target performs the flight mission. The categories included in the flight coordinate information are coordinate longitude, coordinate latitude, and coordinate altitude. In the present invention, the flight mission information corresponding to each optimization analysis target 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 executed by 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 parameters of the flight coordinate information set for each moment during the flight mission executed by the key analysis target. For a single moment, the coordinate range parameter = the absolute value of the difference between the maximum and minimum longitudes in the publicly disclosed flight coordinate information at that moment + the absolute value of the difference between the maximum and minimum latitudes in the publicly disclosed flight coordinate information at that moment; Several airspace management records are applied in the present invention. Any one of the airspace management records records at least once the task sudden interference index, sudden protection index, associated key coefficient, key interference coefficient, reference interval index, relevant route parameters, analysis aggregation coefficient, existing auxiliary coefficient, set execution effective coefficient, set coverage effective coefficient, and execution risk coefficient during the process of airspace resource management for the target management airspace. And each airspace management record corresponds to a qualified mark, and the qualified mark records whether the airspace resource management quality of the target management airspace meets the user's requirements. It can be understood that the user can determine whether the airspace resource management quality of the target management airspace meets the requirements according to the self-set indicators.

[0027] Specifically, periodically detect the task sudden interference index and sudden protection index of each optimization analysis target in the target management airspace; For a single optimization analysis target, The task burst interference index is the proportion of the number of optimization interference targets of the optimization analysis target in the number of management targets within the optimization evaluation range of the optimization analysis target; The burst protection index is the average value of the target information protection parameters of each optimization interference target of the optimization analysis target; The optimization interference target is a key analysis target existing within the optimization evaluation range of the optimization analysis target.

[0028] Among them, the present invention applies an existing monitoring period, and the duration of the existing monitoring period can be determined by the user himself. The higher the user's requirement for the effectiveness of the optimization analysis result of the design parameters of the target analysis component, the shorter the duration of the existing monitoring period. A method for obtaining the duration of the existing monitoring period is provided. The duration of the existing monitoring period is 15 minutes. At the start time of each existing monitoring period, the task burst 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 period; For a single optimization analysis target, the task burst interference index = the number of optimization interference targets of the optimization analysis target / the number of management targets existing 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 of the sphere 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 working scenario. The higher the user's requirement for the airspace resource management quality of the target management airspace, the larger the value of the evaluation distance length. A method for obtaining the value of the evaluation distance length is provided. The value of the evaluation distance length has a positive correlation with the coordinate key coefficient of the optimization analysis target. The coordinate key coefficient is the number of times that the current position of the optimization analysis target in the airspace management record exists within the spatial range corresponding to the flight task information of the key analysis target.

[0029] Specifically, if the task burst interference index of an optimization analysis target is greater than the preset task burst interference index or the burst protection index is greater than the preset burst protection index, then the key dynamic analysis method is used to optimize the existing execution route of the optimization analysis target; The optimization analysis target with a task burst interference index greater than the preset task burst interference index or a burst protection index greater than the preset burst protection index is recorded as a first-class optimization analysis target.

[0030] Specifically, if the task burst interference index of an optimization analysis target 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, then the isolation dynamic analysis method is used to optimize the existing execution route of the optimization analysis target; An optimization analysis target with a task burst interference index less than or equal to a preset task burst interference index and a burst protection index less than or equal to a preset burst protection index is denoted as a second-class optimization analysis target.

[0031] Among them, if the current moment is the starting moment of an existing monitoring period, the existing monitoring period is denoted as the target optimization period. An optimization management strategy for each optimization analysis target within the target optimization period is determined according to the task burst interference index and the burst 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 task information of this optimization analysis target obtained at the current moment. The spatial range constructed based on the coordinate longitude range, coordinate latitude range, and coordinate altitude range corresponding to each moment in the flight task information is denoted as the existing execution route. How to determine the spatial range corresponding to the existing execution route according to the flight task information is easily understood by those skilled in the art and will not be elaborated here; For the values of the preset task burst interference index and the preset burst protection index, the user can determine them according to the actual working scenario. For example, the user can set them 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 task burst interference index and the smaller the value of the preset burst protection index. A method for obtaining the value of the preset task burst interference index is provided. The airspace management record that optimizes the existing execution route of the optimization analysis target by using the key dynamic analysis method is denoted as the burst reference record. The average value of the task burst interference index of the optimization analysis target in the burst reference record that meets the user's requirement for the airspace resource management quality of the target management airspace is denoted as the preset task burst interference index. A method for obtaining the value of the preset burst protection index is provided. The average value of the burst protection index of the optimization analysis target in the burst reference record that meets the user's requirement for the airspace resource management quality of the target management airspace is denoted as the preset burst protection index.

[0032] Specifically, under the key dynamic analysis condition, the airspace key coefficients of each associated analysis airspace of the first-class optimization analysis target are determined according to the airspace key relevance and the associated protection coefficient. The associated analysis airspace with an airspace key coefficient greater than the preset airspace key coefficient is denoted as the associated key airspace; The key execution strategy of the first-class optimization analysis target is determined according to the key airspace occupancy index and the key distribution index; The key dynamic analysis condition is that there is a first-class optimization analysis target in the target management airspace.

[0033] Among them, for a type of optimization analysis target that conducts key dynamic analysis individually, since the task burst interference index or the burst protection index of a type of analysis target is relatively large, it indicates that the optimization process of the type of optimization analysis target for the flight task during the target optimization period is greatly interfered by the existence of the key analysis target or the protection degree of the flight task information of the key analysis target among them is relatively large. It is necessary to further fully consider the strong suddenness and poor integrity of the flight tasks executed by the key analysis target for the interference caused during the optimization process to ensure the effectiveness of the optimization analysis results for the actual execution route of the target's flight task; For any associated analysis airspace of a single type of optimization analysis target, the key coefficient of the airspace is the product of the key relevance of the airspace and the relevant protection coefficient. The key relevance of the airspace = the number of key analysis targets with the existing execution route in this associated analysis airspace / the number of management targets within the optimization evaluation range of this type of optimization analysis target. Denote the key analysis targets with the existing execution route in this associated analysis airspace as the airspace associated targets of this associated analysis airspace. The relevant protection coefficient is the average value of the target information protection parameters of each airspace associated target in this associated analysis airspace; For a single type of optimization analysis target, divide the existing execution route of this type of optimization analysis target to obtain several associated analysis airspaces with the same spatial volume. Users can determine the number of the obtained associated analysis airspaces according to actual work needs for setting. This is easy for those skilled in the art to understand and will not be elaborated here. The key airspace occupancy index = the number of key associated airspaces of this type of optimization analysis target / the number of associated analysis airspaces of this 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 this type of optimization analysis target / the maximum value of the adjacent distribution parameters of each group of adjacent distribution airspaces of this type of optimization analysis target. If there is no other key associated airspace between any two key associated airspaces of this type of optimization analysis target along the extension direction of the existing execution route, then record the above two key associated airspaces as a group of adjacent distribution airspaces, and record the interval distance between the center points of the spatial regions corresponding to the above two key associated airspaces as the adjacent distribution parameter of this group of adjacent distribution airspaces; The value of the preset key coefficient of the airspace can be determined by users according to the actual work scenario. For example, users 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 key coefficient of the airspace. Provide a method for determining the value of the preset key coefficient of the airspace. Denote the average value of the key coefficients 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 as the preset management key coefficient.

[0034] 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; 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.

[0035] 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 the type of optimization analysis target is greater than the preset key interference coefficient, it indicates that there are more 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 distribution of the affected airspaces is relatively scattered, which further indicates that the existing execution routes of the type of optimization analysis target need to be optimized to a greater extent as a whole. Only scheduling of part of the airspace within the existing execution routes cannot effectively guarantee 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 the type of optimization analysis target based on the actual working scenario, which is used for temporary isolation and docking when there is a conflict with the key analysis target during the execution of the flight mission, so as to ensure the task execution safety between the optimization analysis target and the key analysis target; 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 quality of airspace resource management 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 whose key interval index is 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. 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 records. The higher the user's requirement for the airspace resource management quality of the target management airspace, the larger the value of the preset key interval index. A method for obtaining the value of the preset key interference coefficient is provided. The airspace management record of the dynamic isolation set of this type of optimization analysis target 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 requirement for the airspace resource management quality of the target management airspace is recorded as the preset key interference coefficient. A method for obtaining the value of the preset key interval index is provided. The average value of the reference interval indices of each type of optimization analysis target in the key reference record that meets the user's requirement for the airspace resource management quality of the target management airspace and is in the execution conflict state is recorded as the preset key interval index. For a single type of optimization analysis target in the execution conflict state, the reference interval index is the minimum value of the key interval indices of this type of optimization analysis target and each key analysis target; The target management airspace is evenly divided into several cuboids with the same spatial volume and is denoted as sub-management airspaces. For a single type of optimization analysis target with a key interference coefficient 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 existing within the isolation evaluation range of this 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 this sub-management airspace. The isolation evaluation range is a sphere with the center of gravity point corresponding to this sub-management airspace as the center of the sphere and the isolation evaluation distance as the radius. The present invention does not specifically set the value of the isolation evaluation distance, and the user can set it according to the actual working scenario. The higher the user's requirement for the airspace resource management quality of the target management airspace, the larger the value of the isolation evaluation distance. Obtain the existing execution route of the optimization interference target of this type of optimization analysis target. For a single flight coordinate information, if the relevant route parameter of this flight coordinate information is greater than the preset relevant route parameter, then this flight coordinate information is recorded as a key intersection coordinate. The relevant route parameter is the number of optimization interference targets corresponding to the existing execution route where this flight coordinate information exists; For the values of the preset relevant route parameters and the preset isolation priority coefficient, the user can determine them according to the actual working scenario. For example, the user can set them according to the airspace management records. The higher the user's requirement for the quality of airspace resource management in the target management airspace, the larger the value of the preset relevant route parameter, and the larger the value of the preset isolation priority coefficient. A method for obtaining the value of the preset relevant route parameter is provided. The average value of the relevant route parameters of each key intersection coordinate in the airspace management records that meet the user's requirement for the quality of airspace resource management in the target management airspace is recorded as the preset relevant route parameter. A method for obtaining the value of the preset isolation priority coefficient is provided. The minimum value of the isolation priority coefficient of any sub-management airspace in the dynamic isolation set in the airspace management records that meet the user's requirement for the quality of airspace resource management in the target management airspace is recorded as the preset isolation priority coefficient.

[0036] Specifically, if the key interference coefficient of a type of optimization analysis target is less than or equal to the preset key interference coefficient, the matching analysis set is determined according to the airspace correlation coincidence index and the set distribution index, and the optimal matching method of each matching analysis set is determined according to the set matching enrichment coefficient to determine the optimal matching set of each matching analysis set. The analysis aggregation coefficient of any matching analysis set is greater than the preset analysis aggregation coefficient, and the analysis aggregation coefficient is determined according to the airspace correlation coincidence index and the set distribution index.

[0037] Among them, for a single type of optimization analysis target, if the key interference coefficient of this type of optimization analysis target is less than or equal to the preset key interference coefficient, it indicates that there is less airspace in the existing execution route of this type of optimization analysis target affected by the suddenness and unpredictability of the flight mission of the key analysis target, and the affected airspace is relatively concentrated. Furthermore, it shows that only some airspace within the existing execution route of the type of optimization analysis target needs to be scheduled to effectively reduce the conflict degree between the optimization analysis target and the key analysis target. For each matching analysis set, the optimal matching set is determined as the airspace that can replace the execution of the flight mission during the airspace resource management process. After determining the optimal matching set, how to specifically manage the airspace resources is easy for those skilled in the art to understand. For a single type of optimization analysis target with a key interference coefficient less than or equal to the 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 correlation coincidence index and the set distribution index. The airspace correlation coincidence index = the number of airspace correlation targets that exist in each associated key airspace within this matching analysis set / the number of different airspace correlation targets that exist in each associated key airspace within this matching analysis set. The set distribution index is the average value of the adjacent distribution parameters of each group of adjacent distributed airspaces within this matching analysis set. 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 records. The higher the user's requirement for the airspace resource management quality of the target management airspace, the larger the value of the preset analysis aggregation coefficient. A method for obtaining the value of the preset analysis aggregation coefficient is provided. The average value of the analysis aggregation coefficients of each matching analysis set in the airspace management records that meet the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset analysis aggregation coefficient.

[0038] Specifically, if the set matching richness coefficient of a matching analysis set 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; If the set matching richness coefficient of a matching analysis set 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.

[0039] Among them, for a single matching analysis set, the set matching richness coefficient is the number of to-be-matched airspaces existing in the matching analysis set. The to-be-matched airspace is a sub-management airspace with an existing auxiliary coefficient greater than the preset existing auxiliary coefficient. The existing auxiliary coefficient of each sub-management airspace is determined according to the existing execution flow parameter and the existing execution interference parameter. For a single sub-management airspace, the existing auxiliary coefficient = the existing execution interference parameter of the sub-management airspace / the existing execution flow parameter of the sub-management airspace. The existing execution flow parameter is the number of management targets corresponding to the existing execution route containing the sub-management airspace obtained within the target optimization period. The existing execution interference parameter is the number of key airspaces associated with the matching analysis set existing within the interference evaluation range of the sub-management airspace; For a single matching analysis set, if the set matching richness coefficient of this matching analysis set is greater than the preset set matching richness coefficient, it indicates that there are many sub-management regions in this matching analysis set that can effectively reduce the flight task allocation pressure and execution risk of the associated key airspace, and the degree of interference to the flight task execution process after replacement is relatively low. While ensuring the effectiveness of the determined optimized matching set, the impact on the existing flight routes is minimized as much as possible, and the interference to the task execution of other management objectives is reduced. The set execution effectiveness coefficient of the optimized execution set of this 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 value of the existing auxiliary coefficients of each sub-management airspace in this optimized execution set. The coverage overlap index is the average value of the coverage overlap parameters of each sub-management airspace in this optimized execution set. For a single sub-management region, the coverage overlap parameter = the number of coverage overlap airspaces of this sub-management airspace / the number of associated key airspaces in this matching analysis set within the interference evaluation range of this sub-management airspace. If an associated key airspace exists in both this sub-management airspace and the interference evaluation range of any sub-management airspace in the optimized execution set, then this associated key airspace is recorded as the coverage overlap airspace of this sub-management airspace; For a single matching analysis set, if the set matching richness coefficient of this matching analysis set is less than or equal to the preset set matching richness coefficient, it indicates that there are relatively few sub-management regions in this matching analysis set that can effectively reduce the flight task allocation pressure and execution risk of the associated key airspace. It is necessary to minimize the flight task allocation pressure and execution risk of this matching analysis set based on the limited airspaces to be matched. The set coverage effectiveness coefficient of the optimized execution set of this matching analysis set is greater than the preset set coverage effectiveness coefficient. 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 this matching analysis set within the interference evaluation range of the sub-management airspaces in the optimized execution set / the number of associated key regions included in this matching analysis set; 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 records. The higher the user's requirement for the airspace resource management quality 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 obtaining the value of the preset existing auxiliary coefficient is provided. The average value of the existing auxiliary coefficients of the airspaces to be matched in the airspace management records that meet the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset existing auxiliary coefficient. A method for obtaining the value of the preset set execution effectiveness coefficient is provided. 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 records that meet the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset set execution effectiveness coefficient. 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. The average value of the set coverage effectiveness coefficients of each optimized execution set in the execution reference records that meet the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset set coverage effectiveness coefficient.

[0040] Specifically, under the isolation dynamic analysis condition, the execution risk coefficients of the risk analysis airspaces of the secondary optimization analysis target are determined according to the execution allocation index and the key interference index, and whether to set risk isolation areas for each risk analysis airspace is determined according to the execution risk coefficients. The isolation dynamic analysis condition is that there is a secondary optimization analysis target in the target management airspace.

[0041] Among them, for a single secondary optimization analysis target undergoing isolation dynamic analysis, since both the task burst interference index and the burst protection index of the secondary analysis target are small, it indicates that the optimization process of the secondary optimization analysis target for the flight task during the target optimization period is less interfered by the existence of the key analysis target and the protection degree of the flight task information of the key analysis target with interference is also small. For the optimization process of this secondary optimization analysis target, the flight task allocation pressure and interference risk of different parts of the existing execution routes in the associated analysis airspace are analyzed to ensure the effectiveness of the optimization analysis results of the actual execution route of the target execution flight task. For a single Class-II optimization analysis target, the existing execution routes for this Class-II 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, where the execution allocation index = the number of management targets of this risk analysis airspace existing in the corresponding existing execution route / the number of management targets of the target management airspace, and the key interference index is the average value of the shortest distances between the centroid point of this risk analysis airspace and the existing execution routes of the optimization interference targets of this Class-II optimization analysis target.

[0042] 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 this risk analysis airspace; The risk isolation area is determined based on the existing relevant index and the sub-domain intersection index.

[0043] Among them, for a single risk analysis area with an 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 relevant index and the sub-domain intersection index. The existing relevant index is the number of risk analysis airspaces of this Class-II optimization analysis target within the isolation evaluation range of this sub-management airspace, and the sub-domain intersection index is the average value of the interval distances between the centroid point of this sub-management airspace and the key intersection coordinates existing within the isolation evaluation range of this sub-management airspace. If the execution risk coefficient of the risk analysis area is greater than the preset execution risk coefficient, it indicates that during the execution of flight tasks in the risk analysis area, the probability of being affected by the key analysis target is relatively high. To prevent task conflicts, a risk isolation area is reserved to provide a temporary docking area for Class-II optimization analysis targets in an execution conflict state; The value of the preset execution risk 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 records. The higher the user's requirement for the airspace resource management quality of the target management airspace, the smaller the value of the preset execution risk coefficient. A method for determining the value of the preset execution risk coefficient is provided. The airspace management records for setting the risk isolation area for the risk analysis airspace are recorded as risk reference records, and the minimum value of the execution risk coefficient in the risk reference records that meet the user's requirement for the airspace resource management quality of the target management airspace is recorded as the preset execution risk coefficient.

[0044] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0045] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A dynamic management method for airspace resources with collaboration between two parties, characterized in that, Including: Periodically determine the optimization management strategy of each optimization analysis target based on the task burst interference index and the burst protection index. The optimization management strategy is to optimize the existing air route by using the key dynamic analysis method or the isolation dynamic analysis method; During key dynamic analysis, determine the key execution strategy of each type-I optimization analysis target according to the key airspace occupancy index and the key distribution index. The key execution strategy is to determine the dynamic isolation set of the type-I 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 according to the set matching enrichment coefficient; The optimization 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 isolation dynamic analysis, determine whether to set a risk isolation area for each risk analysis airspace according to the execution risk coefficient, and determine the risk isolation area based on the existing relevant index and the sub-airspace intersection index.

2. The dynamic airspace resource management method with collaboration between both parties according to claim 1, characterized in that, Periodically detect the task burst interference index and the burst protection index of each optimization analysis target in the target management airspace; For a single optimization analysis target, The task burst interference index is the proportion of the number of optimization interference targets of this optimization analysis target in the number of management targets within the optimization evaluation range of this optimization analysis target; The burst protection index is the average value of the target information protection parameters of each optimization interference target of this optimization analysis target; The optimization interference target is a key analysis target existing within the optimization evaluation range of this optimization analysis target.

3. The method for dynamically managing airspace resources through cooperation between both parties according to claim 2, wherein If the task burst interference index of an optimization analysis target is greater than the preset task burst interference index or the burst protection index is greater than the preset burst protection index, then use the key dynamic analysis method to optimize the existing execution route of this optimization analysis target; An optimization analysis target with a task burst interference index greater than the preset task burst interference index or a burst protection index greater than the preset burst protection index is recorded as a type-I optimization analysis target.

4. The method for dynamically managing airspace resources with collaboration between both parties according to claim 3, wherein If the task burst interference index of an optimization analysis target 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, then use the isolation dynamic analysis method to optimize the existing execution route of this optimization analysis target; An optimization analysis target with a task burst interference index less than or equal to the preset task burst interference index and a burst protection index less than or equal to the preset burst protection index is recorded as a type-II optimization analysis target.

5. The method for dynamically managing airspace resources through collaboration between both parties according to claim 3, characterized in that, Specifically, under the condition of key dynamic analysis, determine the airspace key coefficient of each associated analysis airspace of the type-I optimization analysis target according to the airspace key relevance and the relevant protection coefficient, and record the associated analysis airspace with an airspace key coefficient greater than the preset airspace key coefficient as the associated key airspace; Determine the key execution strategy of the type-I optimization analysis target according to the key airspace occupancy index and the key distribution index; The key dynamic analysis condition is that there is a type-I optimization analysis target in the target management airspace.

6. The dynamic airspace resource management method with two-party collaboration according to claim 5, characterized in that If there exists a key interference coefficient of a type of optimization analysis target that is greater than a preset key interference coefficient, a dynamic isolation set of this type of optimization analysis target is determined based on the airspace intersection index and the existing distribution index to isolate a type of optimization analysis target in an execution conflict state; The key interference coefficient is determined according to the key airspace occupancy ratio index and the key distribution index, and the key interference coefficient is positively correlated with the key airspace occupancy ratio index and the key distribution index respectively.

7. The method for dynamically managing airspace resources through collaboration between both parties according to claim 6, characterized in that, If there exists a key interference coefficient of a type of optimization analysis target that is less than or equal to a preset key interference coefficient, a matching analysis set is determined according to the airspace correlation coincidence index and the set distribution index, and an optimized matching method for each matching analysis set is determined according to the set matching enrichment coefficient to determine an 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 airspace correlation coincidence index and the set distribution index.

8. The dynamic management method for airspace resources with collaboration between both parties according to claim 7, wherein If there exists a set matching enrichment coefficient of a matching analysis set that is greater than a preset set matching enrichment coefficient, an optimized execution set of this matching analysis set is determined based on the set auxiliary coefficient and the coverage overlap index; If there exists a set matching enrichment coefficient of a matching analysis set that is less than or equal to a preset set matching enrichment coefficient, an optimized execution set of this matching analysis set is determined based on the set coverage index and the coverage overlap index.

9. The method for dynamically managing airspace resources through collaboration between both parties according to claim 4, wherein Under the condition of isolation dynamic analysis, the execution risk coefficient of each risk analysis airspace of the secondary optimization analysis target is determined according to the execution allocation index and the key interference index, and it is determined whether to set a risk isolation area for each risk analysis airspace according to the execution risk coefficient; The isolation dynamic analysis condition is that there exists a secondary optimization analysis target in the target management airspace.

10. The method for dynamically managing airspace resources through cooperation between both parties according to claim 9, characterized in that, If there exists an execution risk coefficient of a risk analysis airspace that is greater than a preset execution risk coefficient, a risk isolation area is set for this risk analysis airspace; The risk isolation area is determined based on the existing relevant index and the sub-domain intersection index.

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