Layered satellite network management method and system based on multi-orbit satellite collaboration

Abstract

The invention discloses a hierarchical satellite network management method and system based on multi-orbit satellite collaboration, and relates to the technical field of satellite communication, and the method comprises the steps: reading basic parameter information of high-orbit satellites, medium-orbit satellites and low-orbit satellites, carrying out the management region division of an airspace, assigning the high-orbit satellites as region management nodes for all management regions, and assigning the low-orbit satellites as region management nodes; registering medium-orbit satellites and low-orbit satellites in the region as managed nodes, and generating hierarchical management configuration data; and the regional management node executes a collaborative network management decision based on the adjustment request information and the resource mirror image data, and generates a network management control instruction. According to the method, discrete Kalman filtering fusion processing and cross-orbit association mapping are performed on resource representation information according to a management period, so that link bearing conditions, beam continuing conditions, spectrum occupation conditions and load distribution conditions of satellites in different orbit layers can be converted into uniform and continuous resource mirror image data.

Description

Technical Field

[0001] This invention relates to the field of satellite communication technology, and in particular to a hierarchical satellite network management method and system based on multi-orbit satellite collaboration. Background Technology

[0002] As satellite communication technology develops towards multi-track integration, high-orbit, medium-orbit, and low-orbit satellites are gradually forming a hierarchical network architecture that operates collaboratively. This architecture expands coverage and enhances communication capabilities through cross-orbit links. Based on this, satellite network management is evolving from independent single-track control to cross-orbit collaborative scheduling. By introducing resource awareness, orbit prediction, and dynamic scheduling mechanisms, unified management of link capacity, spectrum utilization, and load distribution is achieved. Simultaneously, network control methods based on state awareness and predictive analysis are gradually being applied to satellite systems to improve the overall network's adaptive capabilities and resource utilization efficiency.

[0003] Existing technologies rely heavily on the decentralized collection and independent processing of satellite resource status at different orbital levels, lacking a unified cross-orbit resource representation and spatiotemporal alignment mechanism. This makes it difficult to establish stable and consistent correlations between resource statuses. Under these circumstances, it is difficult to form a continuous and predictable understanding of resource evolution during cross-orbit collaborative scheduling, which in turn affects the accuracy and timeliness of collaborative judgments, ultimately restricting the overall control capability and collaborative efficiency of multi-orbit satellite networks in dynamic environments. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a hierarchical satellite network management method based on multi-orbit satellite collaboration to solve the problem of unstable collaborative decision-making caused by the lack of unified representation and continuous evolution support for cross-orbit resource status in multi-orbit satellite networks.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a hierarchical satellite network management method based on multi-orbit satellite collaboration, comprising: reading basic parameter information of high-orbit satellites, medium-orbit satellites, and low-orbit satellites; dividing the airspace into management areas and designating high-orbit satellites as area management nodes for each management area; registering medium-orbit satellites and low-orbit satellites within the area as managed nodes; and generating hierarchical management configuration data; establishing high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit satellites and low-orbit satellites within the area based on the hierarchical management configuration data; performing local aggregation and pre-coordination to form cross-orbit collaborative pre-arrangement data; and receiving satellite operational status information to form an operational status set; and based on the operational status set and cross-orbit... The collaborative pre-arrangement data performs cross-orbit correlation mapping on the resource characterization information of satellites at different orbital levels, and performs time alignment, data cleaning, unified coordinate transformation, and Kalman filter fusion processing on the operational status set to construct resource mirror data. Based on the satellite operational status information, an orbital phase evolution sequence is constructed. Combined with the resource mirror data and cross-orbit collaborative pre-arrangement data, a succession reliable corridor is generated, and predictive joint judgment is performed. When the preset collaborative triggering conditions are met, load balancing analysis, interference detection and avoidance analysis, and route optimization analysis are used to generate adjustment request information. The regional management node executes collaborative network management decisions based on the adjustment request information and resource mirror data, and generates network management control commands.

[0007] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the basic parameter information includes orbital parameters, inter-satellite link information, and satellite capability information.

[0008] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the specific steps for generating hierarchical management configuration data are as follows: The spatial position of each satellite is calculated based on orbital parameters. The service area of ​​each satellite is analyzed in combination with satellite capability information. The reachability relationship between each satellite is obtained based on inter-satellite link information and spatial position. The airspace is divided into management areas to form area identification data and area boundary data. Based on the service area, link reachability and satellite capability information of high-orbit satellites, high-orbit satellites are screened and matched to obtain regional management nodes. Medium-orbit satellites and low-orbit satellites in the region are registered as managed nodes of the corresponding regional management nodes, forming node correspondence data. The region identification data, region boundary data, region management nodes and their corresponding relationships are associated and encapsulated to generate hierarchical management configuration data.

[0009] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the specific steps for forming the operational state set are as follows: Based on the hierarchical management configuration data, management beacons are broadcast to the management area. After receiving the management beacons, medium-Earth orbit satellites and low-Earth orbit satellites send registration request information to the corresponding area management nodes, and perform identity verification, node matching and logical address allocation to establish high-Earth orbit and medium-Earth orbit management connections and high-Earth orbit and low-Earth orbit management connections. Based on the management and connection of high-orbit and medium-orbit satellites and the management and connection of high-orbit and low-orbit satellites, local convergence and pre-coordination of medium-orbit and low-orbit satellites are carried out to form cross-orbit collaborative pre-arrangement data. Based on the cross-orbit collaborative pre-arrangement data, medium-orbit satellites and low-orbit satellites report satellite operation status information to the regional management node, and perform reception, collection, field verification and unified encapsulation to form an operation status set.

[0010] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the specific steps for constructing resource mirror data are as follows: Using the operational status set and cross-orbit collaborative pre-arrangement data as input, the satellite operational status information is subjected to standardized preprocessing according to a unified management cycle to form a purified status information set; Based on the cleanup status information set, the position, attitude, beam pointing and link endpoint coordinates of medium-Earth orbit satellites and low-Earth orbit satellites are transformed into a regional fixed coordinate system with high-Earth orbit satellites as the reference origin, and resource characterization information is extracted. The resource representation information is processed by discrete Kalman filtering according to the management cycle, and cross-track association mapping is performed on the fused resource representation information, which is then uniformly packaged into resource mirror data.

[0011] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the specific process of constructing the orbital phase evolution sequence is as follows: The spatial position and relative orientation information of medium-Earth orbit satellites and low-Earth orbit satellites within a continuous management cycle are extracted from the satellite operation status information and organized into a phase status sample chain according to satellite identification and time sequence. In a fixed coordinate system with a high-orbit satellite as the reference origin, phase feature information of medium-orbit and low-orbit satellites is extracted periodically from the phase state sample chain to form a phase state sequence. The phase state sequence is processed by removing abnormal jumps, smoothing short-term jitter, and correcting continuity. The phase evolution state variables are then merged and arranged in chronological order according to the management cycle to form the orbital phase evolution sequence.

[0012] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite collaboration described in this invention, the specific process of generating adjustment request information is as follows: Align the orbital phase evolution sequence with resource mirror data according to management cycle, satellite identifier and management area to generate a reliable succession corridor, and extract collaborative judgment feature information to form an adjustment candidate set; Based on the adjustment candidate set and the succession trusted corridor, the collaborative triggering verification rules are executed sequentially, and the medium-Earth orbit satellites and low-Earth orbit satellites that meet the collaborative triggering conditions are taken as the set of objects to be adjusted. The dominant constraint is identified for the set of objects to be adjusted. Switching requests, parameter requests, and reconstruction requests are generated based on the dominant constraints and uniformly encapsulated as adjustment request information.

[0013] As a preferred embodiment of the hierarchical satellite network management method based on multi-track satellite collaboration described in this invention, the collaboration triggering condition refers to the triggering requirements satisfied after joint verification of the collaboration triggering verification rules.

[0014] As a preferred embodiment of the hierarchical satellite network management method based on multi-orbit satellite cooperation described in this invention, the specific process of generating network management control commands is as follows: The regional management node reads the request element information from the adjustment request information and performs matching analysis in combination with the resource representation information to form a set of collaborative decision-making basis; Based on the collaborative decision-making basis set, corresponding collaborative network management decisions are executed according to switching requests, parameter requests, and reconstruction requests, forming a set of control actions and encapsulating them uniformly to generate network management control instructions.

[0015] Secondly, this invention provides a hierarchical satellite network management system based on multi-orbit satellite collaboration, comprising: a partition configuration module, an access aggregation module, a mirror construction module, a trigger determination module, and a decision control module; the partition configuration module is used to read basic parameter information of high-orbit satellites, medium-orbit satellites, and low-orbit satellites, divide the airspace into management areas, designate high-orbit satellites as area management nodes for each management area, register medium-orbit satellites and low-orbit satellites within the area as managed nodes, and generate hierarchical management configuration data; the access aggregation module is used to establish high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit satellites and low-orbit satellites within the area based on the hierarchical management configuration data, perform local aggregation and pre-coordination, form cross-orbit collaborative pre-arrangement data, and receive satellite operation status information to form an operation status set. The image construction module is used to perform cross-orbit association mapping on the resource characterization information of satellites in different orbital layers based on the set of operating states and cross-orbit collaborative pre-arrangement data, and to perform time alignment, data cleaning, unified coordinate transformation and Kalman filter fusion processing on the set of operating states to construct resource image data; the trigger determination module is used to construct the orbital phase evolution sequence based on the satellite operating state information, combine the resource image data and cross-orbit collaborative pre-arrangement data to generate a succession reliable corridor, and perform predictive joint determination. When the preset collaborative triggering conditions are met, load balancing analysis, interference detection and avoidance analysis and route optimization analysis are used to generate adjustment request information; the decision control module is used by the regional management node to execute collaborative network management decisions based on the adjustment request information and resource image data, and generate network management control instructions.

[0016] The beneficial effects of this invention are as follows: By performing discrete Kalman filter fusion processing on resource characterization information according to the management cycle and performing cross-orbit correlation mapping, the link carrying status, beam connection status, spectrum occupancy status and load distribution status of satellites in different orbital layers can be transformed into unified and continuous resource mirror data, so that various resource states form a stable and consistent expression structure in the time and space dimensions; the impact of short-term fluctuations and abnormal disturbances on resource states is effectively weakened, the resource change trend is smoothly characterized, and cross-orbit resources have the characteristics of being alignable, correlateable and predictable, providing highly consistent data support for subsequent collaborative judgment and dynamic scheduling, and significantly improving the stability of resource perception and the reliability of decision-making basis in the overall network management process. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Fig. 1 This is a flowchart of a hierarchical satellite network management method based on multi-track satellite collaboration.

[0019] Fig. 2 This is a schematic diagram of a hierarchical satellite network management system based on multi-track satellite collaboration.

[0020] Fig. 3 A flowchart for building a resource image.

[0021] Fig. 4 This is a flowchart for collaborative triggering. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figs. 1-4 This is one embodiment of the present invention, which provides a hierarchical satellite network management method based on multi-orbit satellite cooperation, including the following steps: S1: Read the basic parameter information of high-orbit satellites, medium-orbit satellites and low-orbit satellites, divide the airspace into management areas and designate high-orbit satellites as area management nodes for each management area, register medium-orbit satellites and low-orbit satellites in the area as managed nodes, and generate hierarchical management configuration data.

[0026] S1.1: Calculate the spatial position of each satellite based on orbital parameters, analyze the service area of ​​each satellite in combination with satellite capability information, obtain the link reachability relationship between each satellite based on inter-satellite link information and spatial position, and divide the airspace into management areas to form area identification data and area boundary data.

[0027] Specifically, based on orbital parameters, the spatial distribution of satellite positions at the current time and adjacent management times is calculated. Combined with satellite capability information, such as coverage, communication, and service capabilities, the serviceable area where each satellite can stably provide management or access services is obtained. Combining inter-satellite link information with the spatial positional relationship of each satellite, it is determined whether the conditions for establishing a link between any two satellites are met, thus obtaining the link reachability relationship between each satellite. Based on the coverage area of ​​the satellite serviceable area, the link reachability relationship, and the geographic airspace distribution, the airspace is divided into management areas, and each management area is assigned a corresponding spatial boundary and area identifier, forming area identifier data and area boundary data.

[0028] It should be noted that the basic parameter information includes orbital parameters, inter-satellite link information, and satellite capability information.

[0029] The reachability of links between satellites refers to whether any two satellites have the conditions to establish an inter-satellite communication link and the corresponding reachability status at the current time or in adjacent management time.

[0030] S1.2: Based on the service area, link reachability and satellite capability information of high-orbit satellites, perform screening and matching on high-orbit satellites to obtain regional management nodes, register medium-orbit satellites and low-orbit satellites in the region as managed nodes of the corresponding regional management nodes, and form node correspondence data.

[0031] Specifically, based on the coverage of the service area corresponding to each high-orbit satellite, the reachability of links with other satellites in the area, and its own communication carrying capacity and management processing capabilities, the high-orbit satellites undertaking the area management tasks are compared and screened one by one to obtain the area management node corresponding to each management area; according to the current spatial location of medium-orbit and low-orbit satellites, their respective management areas, and the reachability of links with the area management nodes, the medium-orbit and low-orbit satellites in the area are registered under the corresponding area management node names, establishing a one-to-one or one-to-many correspondence between the area management node and the managed nodes, forming node correspondence data.

[0032] S1.3: Associate and encapsulate the regional identification data, regional boundary data, regional management nodes and their corresponding relationships to generate hierarchical management configuration data.

[0033] Specifically, the region identifier data, region boundary data, region management node information, and node correspondence data are associated and encapsulated according to a unified field order, and the same management region identifier is used as the association primary key. The region boundary data, region management node information, and node correspondence data belonging to the same management region are merged into the same record to form hierarchical management configuration data.

[0034] The unified field order is: management area identifier field, area boundary field, area management node field, and managed node field.

[0035] S2: Based on hierarchical management configuration data, establish high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit and low-orbit satellites in the region, perform local aggregation and pre-coordination, form cross-orbit collaborative pre-arrangement data, and receive satellite operation status information to form an operation status set.

[0036] S2.1: Based on the hierarchical management configuration data, a management beacon is broadcast to the management area. After receiving the management beacon, the medium-Earth orbit satellites and low-Earth orbit satellites send registration request information to the corresponding area management nodes, and perform identity verification, node matching and logical address allocation to establish high-Earth orbit and medium-Earth orbit management connections and high-Earth orbit and low-Earth orbit management connections.

[0037] Specifically, based on the hierarchical management configuration data, the management area identifier field, the area management node field, and the node correspondence data are read to filter out the medium-Earth orbit (MEO) satellites and low-Earth orbit (LEO) satellites corresponding to the current management area. The registration correspondence between the area management node and the MEO and LEO satellites is verified. After the registration correspondence is established, the area management node sends management beacons to the target MEO and LEO satellites one by one according to the registration order in the node correspondence data.

[0038] Medium-Earth orbit (MEO) satellites and low-Earth orbit (LEO) satellites receive management beacons, read the management area identifier and regional management node information from the management beacons, and write the MEO satellite identifier or LEO satellite identifier and its respective management area identifier into the registration request information before sending it to the corresponding regional management node. After receiving the registration request information, the regional management node reads the satellite identifier and its respective management area identifier, compares them item by item with the registered content of the managed nodes in the hierarchical management configuration data, and filters out MEO and LEO satellites registered in the current management area and having a node correspondence with the current regional management node.

[0039] Node matching is performed based on the node correspondence data, and logical addresses are assigned to the matched medium-Earth orbit or low-Earth orbit satellites according to the logical address range corresponding to the current management area. The logical addresses are associated with the satellite identifier, the management area identifier, and the area management node information and written into the connection registration content. The area management node returns access response information to establish high-Earth orbit and medium-Earth orbit management connections and high-Earth orbit and low-Earth orbit management connections.

[0040] S2.2: Based on the management and connection of high-orbit and medium-orbit satellites and the management and connection of high-orbit and low-orbit satellites, local convergence and pre-coordination of medium-orbit and low-orbit satellites are carried out to form cross-orbit collaborative pre-arrangement data.

[0041] Specifically, based on the management connections between high-orbit and medium-orbit satellites and between high-orbit and low-orbit satellites, the link status information, connection relationship information and access relationship information reported by medium-orbit and low-orbit satellites are classified and collected according to the management area. Centered on the regional management node, the corresponding relationships between medium-orbit and low-orbit satellites in the same management area are sorted out, and the link associations that have been established between medium-orbit and low-orbit satellites, the current satellite combinations that can participate in connection, and the schedulable order under the current access relationship are identified.

[0042] After sorting out the link association, satellite combinations that can participate in the succession, and the schedulable order, medium-orbit and low-orbit satellites belonging to the same management area are grouped and arranged according to satellite identification, management cycle, and succession relationship. The link status information, succession relationship information, and access relationship information are associated and written into the same encapsulation structure to form cross-orbit collaborative pre-arrangement data.

[0043] S2.3: Based on the cross-orbit collaborative pre-arrangement data, medium-orbit satellites and low-orbit satellites report satellite operation status information to the regional management node, and perform reception, collection, field verification and unified encapsulation to form an operation status set.

[0044] Specifically, based on the cross-orbit collaborative pre-arrangement data, medium-orbit satellites and low-orbit satellites send satellite operation status information to the regional management node according to the connection registration content.

[0045] The satellite operation status information includes satellite identifier, management area identifier, platform operation status, communication payload status, area management node information, timestamp, link status, resource load status, and orbital attitude status. The area management node receives satellite operation status information sent by medium-Earth orbit satellites and low-Earth orbit satellites, collects and classifies it according to satellite identifier and management area identifier, and then verifies whether the fields in the satellite operation status information are complete, whether the field content is consistent with the connection registration content, and whether the field format is consistent according to a unified field order. The satellite operation status information that passes the verification is associated and written into the same collection structure according to a unified field arrangement order to form an operation status set.

[0046] It should be noted that when determining whether a field is complete, the unified field list is read and compared with the actual fields in the satellite operation status information item by item. The field is considered complete when all fields in the unified field list exist and there are no empty values.

[0047] When determining whether the field content is consistent with the connection registration content, the satellite identifier, the management area identifier, and the area management node information in the satellite operation status information are read and compared with the corresponding fields in the connection registration content item by item. If all the corresponding field contents are consistent, the field content is determined to be consistent.

[0048] When determining whether the field formats are consistent, the data type, field length, value form and arrangement order of each field in the satellite operation status information are checked according to the field format rules. If all of them conform to the field format rules, the field formats are considered consistent.

[0049] Field format rules refer to the unified regulations on the data types, field lengths, value formats, coordinate representation methods, time representation methods, and field arrangement order corresponding to satellite identifiers, management area identifiers, timestamps, platform operation status, communication payload status, link status, resource load status, and orbital attitude status in satellite operation status information.

[0050] S3: Based on the operational status set and cross-orbit collaborative pre-arrangement data, cross-orbit association mapping is performed on the resource characterization information of satellites in different orbital layers. Time alignment, data cleaning, unified coordinate transformation and Kalman filter fusion processing are performed on the operational status set to construct resource mirror data.

[0051] S3.1: Using the operational status set and cross-orbit collaborative pre-arrangement data as input, the satellite operational status information is subjected to standardized preprocessing according to a unified management cycle to form a purified status information set.

[0052] Specifically, when using the operational status set and cross-orbit collaborative pre-arrangement data as input, the satellite operational status information is merged according to the satellite identifier and arranged in chronological order according to the timestamp within the same satellite identifier range to form a time-series status arrangement. Based on the time-series status arrangement, each satellite operational status information is checked for missing or empty values ​​in the satellite identifier, the management area identifier, the platform operational status, the communication payload status, the link status, the resource load status, and the orbital attitude status.

[0053] After the field integrity check, duplicate records of satellite operation status information with the same satellite identifier, the same management area identifier, and the same timestamp are removed. Missing records of satellite operation status information with missing fields but corresponding field content exists before and after the management time are filled in. Abnormal records of satellite operation status information with field format not conforming to the field format rules are deleted. After the duplicate record removal, missing record filling, and abnormal record deletion are completed, the numerical fields in the platform operation status, communication payload status, link status, resource load status, and orbit attitude status are subjected to unified dimension standardization processing to form a clean status information set.

[0054] S3.2: Based on the cleanup status information set, the position, attitude, beam pointing and link endpoint coordinates of medium-Earth orbit satellites and low-Earth orbit satellites are transformed into a regional fixed coordinate system with high-Earth orbit satellites as the reference origin, and resource characterization information is extracted.

[0055] Specifically, based on the cleanup status information set, the spatial position, attitude, beam pointing, and link endpoint coordinates of the medium-Earth orbit (MEO) satellites and low-Earth orbit (LEO) satellites are read one by one. At the same time, the spatial position and attitude of the high-Earth orbit (HEO) satellites, which serve as the reference origin, are read. The spatial position, attitude, beam pointing, and link endpoint coordinates of the MEO and LEO satellites are uniformly converted into a regional fixed coordinate system with the HEO satellites as the reference origin, so that satellites of different orbital layers have a consistent spatial representation. Based on the spatial position relationship, beam coverage relationship, and link endpoint relationship in the regional fixed coordinate system, the link carrying status, beam connection status, spectrum occupancy status, forwarding processing status, load distribution status, and energy remaining status of each satellite are calculated and read. These are then merged and arranged item by item according to the satellite identifier and management area identifier to form resource characterization information.

[0056] Among them, the regional fixed coordinate system refers to a three-dimensional local coordinate system that takes a high-orbit satellite as a spatial reference and is jointly determined by the radial direction, the velocity projection direction, and the cross product direction.

[0057] The forwarding processing status, load distribution status, and energy remaining status are obtained by reading the payload status, resource load status, and platform energy status fields in the satellite operation status information and calculating them in combination with spatial relationships.

[0058] S3.3: Perform discrete Kalman filter fusion processing on the resource representation information according to the management cycle, and perform cross-track association mapping on the fused resource representation information, and encapsulate it into resource mirror data.

[0059] Specifically, the link carrying status, beam connection status, spectrum occupancy status, forwarding processing status, load distribution status, and energy remaining status in the resource characterization information are arranged one by one according to the satellite identifier, management area identifier, and management cycle. The resource characterization information content corresponding to the previous management cycle is used as the prediction input, and the resource characterization information content corresponding to the current management cycle is used as the correction input. Discrete Kalman filter fusion processing is performed on the resource characterization information content of the same satellite in consecutive management cycles to reduce the impact of short-term fluctuations and instantaneous anomalies on the resource characterization information.

[0060] Cross-orbit association mapping is performed on the fused resource representation information. According to satellite identifiers, management area identifiers, and spatial location relationships, the link carrying status, beam connection status, spectrum occupancy status, forwarding processing status, load distribution status, and energy remaining status of satellites belonging to the same high-orbit, medium-orbit, and low-orbit satellite association range are associated and merged. The data is then written into the same encapsulation structure in a unified field order to form resource mirror data.

[0061] A better approach is to perform discrete Kalman filter fusion processing on resource representation information according to the management cycle and perform cross-orbit correlation mapping to form unified, continuous and alignable resource mirror data, which provides a more stable basis for collaborative judgment and collaborative adjustment compared to independently collecting and simply updating the resource status of satellites in different orbital layers.

[0062] S4: Construct an orbital phase evolution sequence based on satellite operational status information, generate a reliable succession corridor by combining resource mirror data and cross-orbit collaborative pre-arrangement data, and perform predictive joint judgment. When the preset collaborative triggering conditions are met, load balancing analysis, interference detection and avoidance analysis, and route optimization analysis are used to generate adjustment request information.

[0063] S4.1: Extract the spatial position and relative orientation information of medium-Earth orbit satellites and low-Earth orbit satellites within a continuous management cycle from the satellite operation status information, and organize them into a phase status sample chain according to satellite identification and time sequence.

[0064] Specifically, spatial position and relative azimuth information are obtained from the orbital attitude status analysis of satellite operational status information. The satellite operational status information is classified and read according to satellite identifiers. Within the same satellite identifier range, the spatial position and relative azimuth information corresponding to each management time is extracted sequentially in chronological order. The spatial position and relative azimuth information is arranged according to satellite identifiers and chronological order. The spatial position and relative azimuth information belonging to the same medium-Earth orbit satellite or the same low-Earth orbit satellite are concatenated one by one according to continuous management cycles. The spatial position and relative azimuth information corresponding to each management cycle is written into the same temporal arrangement structure to form a phase state sample chain.

[0065] Among them, spatial location reflects the changes in the orbital spatial distribution of medium-Earth orbit (MEO) and low-Earth orbit (LEO) satellites within a continuous management cycle, while relative azimuth information reflects the azimuthal changes of MEO and LEO satellites relative to the high-Earth orbit (HEO) satellites where the regional management nodes are located.

[0066] S4.2: In a fixed coordinate system with the high-orbit satellite as the reference origin, extract the phase feature information of the medium-orbit satellite and the low-orbit satellite periodically from the phase state sample chain to form a phase state sequence.

[0067] Specifically, the spatial position and relative azimuth information in the phase state sample chain are read one by one according to the satellite identifier and time sequence. The spatial position and relative azimuth information corresponding to each management cycle is converted into a fixed coordinate system in the region with the high-orbit satellite as the reference origin. The spatial position and relative azimuth information corresponding to the current management cycle is compared item by item with the spatial position and relative azimuth information corresponding to the previous and next management cycles. The phase advance direction, phase advance amplitude and phase connection relationship of the low-orbit satellite are extracted from the continuous management cycles. The phase feature information extracted from the same orbit satellite and the low-orbit satellite in each management cycle is arranged in chronological order and written into the same temporal arrangement structure to form a phase state sequence.

[0068] S4.3: Perform abnormal jump removal, short-term jitter smoothing and continuity correction on the phase state sequence, and merge and arrange the phase evolution state quantities in the order of management cycle to form the orbit phase evolution sequence.

[0069] Specifically, the phase feature information in the phase state sequence is read one by one according to the satellite identifier and time sequence, and the phase feature information corresponding to each management cycle is used as the phase evolution state quantity for processing. When abnormal jumps are eliminated, the phase feature information corresponding to the current management cycle is continuously compared with the phase feature information corresponding to the previous and next management cycles. The phase evolution state quantity that suddenly reverses the phase advancement direction, deviates from the trend of adjacent management cycles, or has an interrupted phase connection relationship is deleted.

[0070] During short-term jitter smoothing, the retained phase evolution state quantities are compared with adjacent management cycles in chronological order. For phase evolution state quantities that exhibit small back-and-forth fluctuations in a short period of time but maintain the same overall propulsion direction, the order is adjusted and the amplitude is smoothed. During continuous correction processing, the time connection and propulsion sequence of the smoothed phase evolution state quantities are checked. For phase evolution state quantities with time misalignment or propulsion breakage, they are rearranged to the corresponding management cycle positions. Then, the processed phase evolution state quantities are merged and arranged in chronological order of management cycles to form the orbital phase evolution sequence.

[0071] The orbital phase evolution sequence is given by the following formula: ; In the formula, Indicates the first The orbital phase evolution sequence corresponding to each management cycle Indicates the first The degree of consistency in the phase advancement direction of each management cycle Indicates the first The smoothness of the phase advancement amplitude in each management cycle Indicates the first The degree of continuity in the phase connection relationship of each management cycle Indicates the first The degree of abnormal fluctuations in each management cycle.

[0072] The consistency of phase advance direction is determined by comparing whether the phase advance direction of the same low-Earth orbit satellite remains consistent across the current, previous, and subsequent management cycles. The smoothness of phase advance amplitude is determined by comparing the differences in phase advance amplitude changes between the current and adjacent management cycles for the same low-Earth orbit satellite. The continuity of phase connection is determined by checking whether the phase advance status of the same low-Earth orbit satellite is smoothly connected in chronological order within consecutive management cycles. The degree of anomalous jumps is determined by comparing whether there are abrupt changes in the phase advance direction, phase advance amplitude, and phase connection relationship changes between the current and adjacent management cycles for the same low-Earth orbit satellite.

[0073] In the orbital phase evolution sequence formula, the consistency of phase advance direction, the smoothness of phase advance amplitude, the continuity of phase connection relationship, and the degree of abnormal jump are all dimensionless characterization values ​​after unified normalization. The orbital phase evolution sequence term is a dimensionless result with unified dimensions.

[0074] S4.4: Align the orbital phase evolution sequence with the resource mirror data according to the management cycle, satellite identifier and management area to generate a reliable succession corridor, and extract collaborative judgment feature information to form an adjustment candidate set.

[0075] Specifically, when aligning the orbital phase evolution sequence with the resource mirror data according to the management cycle, satellite identifier, and management area, the phase evolution state quantities in the orbital phase evolution sequence are read one by one in the order of the management cycle. Then, the resource mirror content in the resource mirror data that is consistent with the corresponding satellite identifier and corresponding management area is read according to the same management cycle. The satellite identifier, management cycle, and management area in the orbital phase evolution sequence are compared item by item with the satellite identifier, management cycle, and management area in the resource mirror data. The orbital phase evolution sequences and resource mirror data with consistent satellite identifiers, management cycles, and management areas are merged into the same correspondence.

[0076] Phase evolution state variables and resource mirror content that are interconnected within a continuous management cycle are continuously merged and sequentially concatenated according to satellite identifier and management area to generate a reliable connection corridor. From the reliable connection corridor, the continuity of phase advancement, phase connection, link carrying status, beam connection status, spectrum occupancy status, forwarding processing status, load distribution status, and energy remaining status are extracted and merged according to satellite identifier, management cycle, and management area to form collaborative judgment feature information. The collaborative judgment feature information corresponding to the same satellite identifier in the same management area is written into the same arrangement structure according to the management cycle order to form an adjustment candidate set.

[0077] Among them, the collaborative determination feature information refers to the comprehensive information on phase continuity, connection feasibility and resource availability extracted after aligning the orbit phase evolution sequence with the resource mirror data, which determines whether cross-orbit collaborative adjustment is triggered.

[0078] A better approach, compared to processing orbital status information and resource status information separately, is to align the orbital phase evolution sequence with resource mirror data under the triple conditions of management cycle, satellite identification, and management area, and extract collaborative judgment feature information. This forms a basis for the coupled judgment of orbital evolution and resource status, and improves the accuracy and real-time performance of cross-orbit collaborative adjustments.

[0079] S4.5: Execute the collaborative triggering verification rules sequentially based on the adjustment candidate set and the successive trusted corridor, and take the medium-Earth orbit satellites and low-Earth orbit satellites that meet the collaborative triggering conditions as the set of objects to be adjusted.

[0080] Specifically, the collaborative judgment feature information corresponding to each medium-Earth orbit (MEO) satellite and low-Earth orbit (LEO) satellite in the adjustment candidate set and the reliable continuation corridor is read one by one according to the management cycle. The phase advancement continuity, phase connection, link carrying status, beam connection status, spectrum occupancy, forwarding processing status, load distribution status, and energy remaining status in the collaborative judgment feature information are compared item by item with the corresponding verification requirements in the collaborative trigger verification rules. The phase advancement continuity and phase connection are used to determine whether the orbit phase evolution sequence has a continuous continuation basis within the continuous management cycle. The phase advancement continuity and phase connection are read according to the satellite identifier and management cycle order for the current management cycle, the previous management cycle, and the next management cycle, and compared with the phase advancement continuity requirements and phase connection requirements in the collaborative trigger verification rules. When the phase advancement continuity and phase connection simultaneously meet the corresponding verification requirements, it is determined that there is a continuous continuation basis.

[0081] The link carrying status, beam connection status, and forwarding processing status are used to determine whether the communication carrying relationship corresponding to the resource mirror data has adjustable space; the spectrum occupancy status is used to determine whether the spectrum occupancy is within the adjustable range; the load distribution status is used to determine whether there is load pressure that needs to be migrated or reallocated; and the energy remaining status is used to determine whether the medium-Earth orbit satellites and low-Earth orbit satellites have the resource support to perform subsequent coordinated adjustments. Medium-Earth orbit satellites and low-Earth orbit satellites that simultaneously meet all coordinated triggering conditions are grouped and arranged according to satellite identifier, management cycle, and management area to form a set of objects to be adjusted.

[0082] It should be noted that the reliable corridor is used as a prerequisite constraint, and lower limit thresholds are set for phase advancement continuity, phase connection, link carrying status, beam connection status, forwarding processing status, and energy remaining status, respectively. A trigger threshold is set for load distribution status, and an adjustable range is set for spectrum occupancy status. When all conditions are met simultaneously, the coordinated triggering condition is determined to be satisfied.

[0083] Collaborative trigger verification rules refer to a set of judgment rules that jointly verify the continuity trusted corridor and collaborative judgment feature information.

[0084] Corresponding verification requirements refer to the threshold requirements set for the continuity of phase advancement and the degree of phase connection, respectively.

[0085] S4.6: Perform dominant constraint identification on the set of objects to be adjusted, generate switching requests, parameter requests and reconstruction requests based on the dominant constraints, and encapsulate them into adjustment request information.

[0086] Specifically, the collaborative judgment feature information of the set of objects to be adjusted is read one by one according to satellite identification, management cycle and management area. The load distribution, spectrum occupancy, link carrying status, beam connection status, forwarding processing status and energy remaining status are compared with the corresponding verification requirements. The collaborative judgment feature information with the largest deviation is used as the dominant constraint. When the dominant constraint corresponds to the load distribution status, medium-Earth orbit satellites or low-Earth orbit satellites with the conditions to accept the switch are selected in the same management area to generate a handover request.

[0087] When the dominant constraint corresponds to the spectrum occupancy status, a parameter request is generated based on the spectrum occupancy status, beam connection status, and forwarding processing status. When the dominant constraint corresponds to the link carrying status or forwarding processing status, a reconfiguration request is generated by selecting medium-Earth orbit or low-Earth orbit satellites with reconfiguration conditions within the same management area. Then, the handover request, parameter request, and reconfiguration request are merged and arranged according to satellite identifier, management cycle, and management area, and written into the same encapsulation structure in a unified field order to form adjustment request information.

[0088] S5: The regional management node executes collaborative network management decisions based on adjustment request information and resource mirror data, and generates network management control instructions.

[0089] S5.1: The regional management node reads the request element information from the adjustment request information and performs matching analysis in combination with the resource representation information to form a set of collaborative decision-making basis.

[0090] Specifically, the regional management node first extracts the request element information corresponding to the switching request, parameter request, and reconstruction request from the adjustment request information, and extracts the resource representation information consistent with the satellite identifier, management cycle, and management area from the resource mirror data. It then compares the source satellite, target satellite, requested resource quantity, request priority, and constraints with the link carrying status, beam connection status, spectrum occupancy status, forwarding processing status, load distribution status, and energy remaining status item by item. The related content is grouped and arranged according to the satellite identifier, management cycle, and management area to form a set of collaborative decision-making basis.

[0091] S5.2: Based on the collaborative decision-making basis set, execute corresponding collaborative network management decisions according to switching requests, parameter requests and reconstruction requests, form a set of control actions and encapsulate them in a unified manner, and generate network management control instructions.

[0092] Specifically, based on the collaborative decision-making basis set, handover requests, parameter requests, and reconfiguration requests are classified and organized according to satellite identifier, management cycle, and management area. In particular, the source satellite, target satellite, requested resource quantity, and constraints in the handover request are compared with the link carrying status, beam connection status, energy remaining status of the target satellite, and the load distribution status of the source satellite. When both the acceptance conditions and migration conditions are met, a handover control action is generated.

[0093] The requested resource quantity and constraints in the parameter request are compared with the spectrum occupancy status, beam connection status, and forwarding processing status. When the parameter adjustment conditions are met, a parameter control action is generated. The requested resource quantity and constraints in the reconfiguration request are compared with the link carrying status, forwarding processing status, and load distribution status. When the reconfiguration conditions are met, a reconfiguration control action is generated.

[0094] The switching control actions, parameter control actions, and reconfiguration control actions are grouped and arranged according to satellite identifier, management cycle, and management area to form a set of control actions. These are then written into the same encapsulation structure in a unified field order to generate network management control instructions.

[0095] Among them, the acceptance condition and migration condition refer to the joint conditions that must be met when the link carrying status, beam connection status and energy remaining status of the target satellite reach the acceptance threshold and the load distribution status of the source satellite reaches the migration threshold.

[0096] The parameter adjustment condition refers to the combined condition that must be met when the spectrum occupancy reaches the spectrum adjustment threshold and the beam connection status and forwarding processing status reach the parameter adjustment support threshold.

[0097] The reconstruction condition refers to the combined condition that must be met when the link carrying status and forwarding processing status reach the reconstruction threshold and the load distribution status reaches the path adjustment threshold.

[0098] The acceptance threshold, migration threshold, spectrum adjustment threshold, parameter adjustment support threshold, reconfiguration threshold, and path adjustment threshold are set by the regional management node after statistically analyzing the change range of corresponding characteristic information within multiple consecutive management cycles, based on satellite capability information in the hierarchical management configuration data and link carrying status, beam connection status, energy remaining status, spectrum occupancy status, forwarding processing status, and load distribution status in the resource mirror data. Specifically, the lower limit of the interval corresponding to the acceptable range is set as the acceptance threshold, the starting value of the interval corresponding to the migrateable range is set as the migration threshold, the starting value of the interval corresponding to the spectrum adjustment range is set as the spectrum adjustment threshold, the lower limit of the interval corresponding to the adjustable support range is set as the parameter adjustment support threshold, the lower limit of the interval corresponding to the reconfigurable range is set as the reconfiguration threshold, and the starting value of the interval corresponding to the path adjustment range is set as the path adjustment threshold.

[0099] A control action set refers to the set of control actions formed by a regional management node after making collaborative network management decisions based on handover requests, parameter requests, and reconfiguration requests. It serves as the direct source of content for generating network management control commands.

[0100] This embodiment also provides a hierarchical satellite network management system based on multi-orbit satellite collaboration, including: a partition configuration module, an access aggregation module, a mirror construction module, a trigger judgment module, and a decision control module; the partition configuration module is used to read the basic parameter information of high-orbit satellites, medium-orbit satellites, and low-orbit satellites, divide the airspace into management areas, designate high-orbit satellites as area management nodes for each management area, register medium-orbit satellites and low-orbit satellites within the area as managed nodes, and generate hierarchical management configuration data; the access aggregation module is used to establish high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit satellites and low-orbit satellites within the area based on the hierarchical management configuration data, perform local aggregation and pre-coordination, form cross-orbit collaborative pre-arrangement data, and receive satellite operation status information to form an operation status set; The mirror construction module is used to perform cross-orbit association mapping on the resource characterization information of satellites in different orbital layers based on the set of operational statuses and cross-orbit collaborative pre-arrangement data. It also performs time alignment, data cleaning, unified coordinate transformation, and Kalman filter fusion processing on the set of operational statuses to construct resource mirror data. The trigger determination module is used to construct the orbital phase evolution sequence based on the satellite operational status information, generate a succession reliable corridor by combining the resource mirror data and cross-orbit collaborative pre-arrangement data, and perform predictive joint determination. When the preset collaborative triggering conditions are met, it uses load balancing analysis, interference detection and avoidance analysis, and route optimization analysis to generate adjustment request information. The decision control module is used by the regional management nodes to execute collaborative network management decisions based on the adjustment request information and resource mirror data, and generate network management control instructions.

[0101] In summary, this invention, by performing discrete Kalman filtering fusion processing on resource characterization information according to the management cycle and conducting cross-orbit correlation mapping, can transform the link carrying status, beam connection status, spectrum occupancy status, and load distribution status of satellites at different orbital levels into unified and continuous resource mirror data. This enables various resource states to form a stable and consistent expression structure in both the temporal and spatial dimensions. The impact of short-term fluctuations and abnormal disturbances on resource states is effectively weakened, and resource change trends are smoothly characterized. This gives cross-orbit resources the characteristics of being alignable, correlateable, and predictable, providing highly consistent data support for subsequent collaborative judgment and dynamic scheduling. This significantly improves the stability of resource perception and the reliability of decision-making basis in the overall network management process.

[0102] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A hierarchical satellite network management method based on multi-orbit satellite collaboration, characterized in that, include: Read the basic parameter information of high-orbit satellites, medium-orbit satellites and low-orbit satellites, divide the airspace into management areas, designate high-orbit satellites as regional management nodes for each management area, register medium-orbit satellites and low-orbit satellites in the area as managed nodes, and generate hierarchical management configuration data. Based on the hierarchical management configuration data, establish high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit and low-orbit satellites in the region, perform local aggregation and pre-coordination, form cross-orbit collaborative pre-arrangement data, and receive satellite operation status information to form an operation status set; Based on the operational status set and cross-orbit collaborative pre-arrangement data, cross-orbit association mapping is performed on the resource characterization information of satellites in different orbital layers. Time alignment, data cleaning, unified coordinate transformation and Kalman filter fusion processing are performed on the operational status set to construct resource mirror data. Based on satellite operational status information, an orbital phase evolution sequence is constructed. Combined with resource mirror data and cross-orbit collaborative pre-arrangement data, a reliable succession corridor is generated. Predictive joint judgment is performed. When the preset collaborative triggering conditions are met, load balancing analysis, interference detection and avoidance analysis, and route optimization analysis are used to generate adjustment request information. The regional management node executes collaborative network management decisions and generates network management control commands based on adjustment request information and resource mirror data.

2. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 1, characterized in that, The basic parameter information includes orbital parameters, inter-satellite link information, and satellite capability information.

3. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 2, characterized in that, The specific steps for generating hierarchical management configuration data are as follows: The spatial position of each satellite is calculated based on orbital parameters. The service area of ​​each satellite is analyzed in combination with satellite capability information. The reachability relationship between each satellite is obtained based on inter-satellite link information and spatial position. The airspace is divided into management areas to form area identification data and area boundary data. Based on the service area, link reachability and satellite capability information of high-orbit satellites, high-orbit satellites are screened and matched to obtain regional management nodes. Medium-orbit satellites and low-orbit satellites in the region are registered as managed nodes of the corresponding regional management nodes, forming node correspondence data. The region identification data, region boundary data, region management nodes and their corresponding relationships are associated and encapsulated to generate hierarchical management configuration data.

4. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 1, characterized in that, The specific steps for forming the set of operating states are as follows: Based on the hierarchical management configuration data, management beacons are broadcast to the management area. After receiving the management beacons, medium-Earth orbit satellites and low-Earth orbit satellites send registration request information to the corresponding area management nodes, and perform identity verification, node matching and logical address allocation to establish high-Earth orbit and medium-Earth orbit management connections and high-Earth orbit and low-Earth orbit management connections. Based on the management and connection of high-orbit and medium-orbit satellites and the management and connection of high-orbit and low-orbit satellites, local convergence and pre-coordination of medium-orbit and low-orbit satellites are carried out to form cross-orbit collaborative pre-arrangement data. Based on the cross-orbit collaborative pre-arrangement data, medium-orbit satellites and low-orbit satellites report satellite operation status information to the regional management node, and perform reception, collection, field verification and unified encapsulation to form an operation status set.

5. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 1, characterized in that, The specific steps for constructing the resource image data are as follows: Using the operational status set and cross-orbit collaborative pre-arrangement data as input, the satellite operational status information is subjected to standardized preprocessing according to a unified management cycle to form a purified status information set; Based on the cleanup status information set, the position, attitude, beam pointing and link endpoint coordinates of medium-Earth orbit satellites and low-Earth orbit satellites are transformed into a regional fixed coordinate system with high-Earth orbit satellites as the reference origin, and resource characterization information is extracted. The resource representation information is processed by discrete Kalman filtering according to the management cycle, and cross-track association mapping is performed on the fused resource representation information, which is then uniformly packaged into resource mirror data.

6. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 1, characterized in that, The specific process for constructing the orbital phase evolution sequence is as follows: The spatial position and relative orientation information of medium-Earth orbit satellites and low-Earth orbit satellites within a continuous management cycle are extracted from the satellite operation status information and organized into a phase status sample chain according to satellite identification and time sequence. In a fixed coordinate system with a high-orbit satellite as the reference origin, phase feature information of medium-orbit and low-orbit satellites is extracted periodically from the phase state sample chain to form a phase state sequence. The phase state sequence is processed by removing abnormal jumps, smoothing short-term jitter, and correcting continuity. The phase evolution state variables are then merged and arranged in chronological order according to the management cycle to form the orbital phase evolution sequence.

7. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 6, characterized in that, The specific process for generating the adjustment request information is as follows: Align the orbital phase evolution sequence with resource mirror data according to management cycle, satellite identifier and management area to generate a reliable succession corridor, and extract collaborative judgment feature information to form an adjustment candidate set; Based on the adjustment candidate set and the succession trusted corridor, the collaborative triggering verification rules are executed sequentially, and the medium-Earth orbit satellites and low-Earth orbit satellites that meet the collaborative triggering conditions are taken as the set of objects to be adjusted. The dominant constraint is identified for the set of objects to be adjusted. Switching requests, parameter requests, and reconstruction requests are generated based on the dominant constraints and uniformly encapsulated as adjustment request information.

8. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 7, characterized in that, The collaborative triggering condition refers to the triggering requirements that are met after the collaborative triggering verification rules are jointly verified.

9. The hierarchical satellite network management method based on multi-track satellite collaboration as described in claim 1, characterized in that, The specific process for generating network management and control commands is as follows: The regional management node reads the request element information from the adjustment request information and performs matching analysis in combination with the resource representation information to form a set of collaborative decision-making basis; Based on the collaborative decision-making basis set, corresponding collaborative network management decisions are executed according to switching requests, parameter requests, and reconstruction requests, forming a set of control actions and encapsulating them uniformly to generate network management control instructions.

10. A hierarchical satellite network management system based on multi-orbit satellite collaboration, based on the hierarchical satellite network management method based on multi-orbit satellite collaboration as described in any one of claims 1 to 9, characterized in that, include: The module includes a partition configuration module, an access aggregation module, an image building module, a trigger judgment module, and a decision control module. The partition configuration module is used to read the basic parameter information of high-orbit satellites, medium-orbit satellites and low-orbit satellites, divide the airspace into management areas and designate high-orbit satellites as area management nodes for each management area, register medium-orbit satellites and low-orbit satellites in the area as managed nodes, and generate hierarchical management configuration data. The access aggregation module is used to establish high-orbit and medium-orbit management connections and high-orbit and low-orbit management connections with medium-orbit and low-orbit satellites in the region based on hierarchical management configuration data, perform local aggregation and pre-coordination, form cross-orbit collaborative pre-arrangement data, and receive satellite operation status information to form an operation status set. The image construction module is used to perform cross-orbit association mapping on the resource representation information of satellites in different orbital layers based on the set of operating statuses and cross-orbit collaborative pre-arrangement data, and to perform time alignment, data cleaning, unified coordinate transformation and Kalman filter fusion processing on the set of operating statuses to construct resource image data; The triggering determination module is used to construct an orbital phase evolution sequence based on satellite operation status information, generate a succession reliable corridor by combining resource mirror data and cross-orbit collaborative pre-arrangement data, and perform predictive joint determination. When the preset collaborative triggering conditions are met, load balancing analysis, interference detection and avoidance analysis and route optimization analysis are used to generate adjustment request information. The decision control module is used by the regional management node to execute collaborative network management decisions based on adjustment request information and resource mirror data, and to generate network management control instructions.

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