Energizing characteristic-based giant constellation network regulation and control method

Abstract

The invention provides a giant constellation network regulation and control method based on enabling characteristics. The giant constellation network regulation and control method comprises the steps of 1, obtaining node basic attributes of a giant constellation network; obtaining group association attributes among different satellite nodes in the giant constellation network, and obtaining emergence characteristics of the giant constellation network; 2, defining a giant constellation network emergence characteristic basic regulation and control operation set; 3, dividing the obtained emergence characteristics; and 4, dividing the emergence characteristics into a spatial characteristic group and an energy efficiency characteristic group, and respectively adopting corresponding evaluation methods to realize dynamic combination and autonomous regulation and control in the giant constellation network. Aiming at task requirements of different enabling characteristic groups, an emergence characteristic self-adaptive regulation and control process and an associated emergence characteristic comprehensive enabling evaluation algorithm are designed respectively, increasingly worsening strong confrontation conditions are adapted through dynamic combination and autonomous regulation and control in a huge star base, increasingly complex task requirements are met, and the method is suitable for large star bases. And thus, the self-adaptive regulation and control of the emergence characteristic of the giant star seat are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of megaconstellations, and particularly relates to a method for regulating a megaconstellation network based on enabling characteristics. Background Art

[0002] Complex heterogeneous megaconstellations are the future development trend. Their system composition is complex and the network topology is time-varying, resulting in difficult characterization of network behavior, difficult analysis of operation mechanisms, difficult prediction and regulation of emergence capabilities, and becoming a major obstacle to current systematic design, construction, application, and evaluation work. For tens of thousands of heterogeneous satellites distributed in orbits at different altitudes with different payload configurations / computing capabilities / storage capabilities and communication capabilities, etc., how to adapt to the increasingly deteriorating strong confrontation conditions and meet the increasingly complex mission requirements through dynamic combination, autonomous collaboration, and adaptive regulation is a huge challenge currently faced.

[0003] As a complex network, a megaconstellation is a network structure jointly composed of a large number of nodes and complex relationships between nodes. Its complexity is mainly manifested in the following aspects:

[0004] 1) Structural complexity: The number of nodes is very large, and the structure of the network presents various different characteristics.

[0005] 2) Network evolution: It is manifested in the generation or disappearance of connections between nodes or among nodes, resulting in continuous changes in the structure of the complex network.

[0006] 3) Connection diversity: There are many differences in the connection weights between nodes and nodes, and the directions may also be different.

[0007] 4) Dynamic complexity: Some node sets are included in a nonlinear dynamic system. For example, the state of a node will change complexly over time.

[0008] 5) Node diversity: Anything in a complex network system can be represented by a node.

[0009] 6) Fusion of multiple complexities: It means that the above-mentioned multiple complexities interact with each other, resulting in more unexpected results.

[0010] The regulation mechanism for the emergence characteristics of a megaconstellation mainly focuses on the development and construction requirements of complex heterogeneous megaconstellations, conducts research on an abstract model of megaconstellation network behavior, depicts the phase transition boundaries of system self-organization, self-emergence, and self-adaptation, explores their interaction mechanisms, discovers the deep dependence relationships between components, and on this basis, studies and proposes methods for analyzing and regulating the emergence capabilities of megaconstellations, providing strong support for optimizing the observability, controllability, and predictability of the system. Summary of the Invention

[0011] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a method for regulating a giant constellation network based on enabling characteristics, so as to solve the problem that there is a lack of a method for analyzing and regulating the emergence ability of a giant constellation in the existing technology, and it is difficult to adapt to the dynamic and changeable network environment and meet the increasingly complex task requirements.

[0012] To solve the above technical problems, the present invention is implemented by adopting the following technical solutions: A method for regulating a giant constellation network based on enabling characteristics, comprising:

[0013] Step 1: Obtain the basic node attributes of the giant constellation network.

[0014] According to the obtained basic node attributes, obtain the group association attributes between different satellite nodes in the giant constellation network.

[0015] According to the obtained group association attributes between different satellite nodes, obtain the emergence characteristics of the giant constellation network.

[0016] Step 2: Define the basic regulation operation set of the emergence characteristics of the giant constellation network.

[0017] Step 3: Divide the emergence characteristics into two categories of groups, the spatial characteristics group and the energy efficiency characteristics group.

[0018] Step 4: For the task requirements of the spatial characteristics group and the energy efficiency characteristics group, adopt corresponding evaluation methods respectively to achieve the dynamic combination and autonomous regulation within the giant constellation network.

[0019] The present invention also includes the following technical features:

[0020] The basic node attributes include: orbital coordinate attributes, link attributes (number of links, antenna / optical head, frequency band / waveband, maximum pointing angle / farthest communication distance / highest communication rate, etc.), function attributes, resource attributes, computing power attributes, connectivity attributes, and coverage attributes.

[0021] The group association attributes include: function association attributes, resource association attributes, computing power association attributes, connectivity association attributes, coverage association attributes, and replacement attributes.

[0022] The emergence characteristics include: spatial coverage characteristics, sensing and mapping characteristics (including: navigation / positioning / time service), access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, interference characteristics, debris collision threat characteristics, astronomical observation occlusion characteristics, network operation and maintenance management complexity, and network security assurance complexity

[0023] The spatial characteristics group includes spatial coverage characteristics, spatial interference characteristics, debris collision threat characteristics, and astronomical observation occlusion characteristics.

[0024] The described energy efficiency characteristic group includes perception mapping characteristics, access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, network operation and maintenance management complexity, and network security assurance complexity.

[0025] The described positive enabling characteristics include: space coverage characteristics, perception mapping characteristics (including: navigation / positioning / time synchronization), access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, and redundancy and robustness characteristics.

[0026] The described negative enabling characteristics include: space interference characteristics, debris collision threat characteristics, astronomical observation occlusion characteristics, network operation and maintenance management complexity (user satellite management, resource management, mobility management, routing planning, protocol overhead, etc.), and network security assurance complexity.

[0027] The basic regulation operation set of the described large constellation emergence characteristics includes: orbital coordinate regulation, frequency band / waveband regulation, antenna / optical head regulation, topology regulation, function regulation, resource regulation, and cooperation regulation.

[0028] The described group association attribute is obtained by calculating based on the node basic attribute, and the calculation method is as follows:

[0029]

[0030] In formula (1), i is the satellite group number, R ij is the association attribute j in satellite group i, δ jk is the correlation coefficient corresponding to the basic attribute k of satellite node i, p jk is the basic attribute k of satellite node i.

[0031] The calculation method of the positive enabling contribution degree of the described emergence characteristics is as follows:

[0032]

[0033] In formula (2), i is the emergence characteristic number, C i is the positive enabling attribute i, R jk is the association attribute k in satellite group j, is the positive enabling contribution coefficient corresponding to the association attribute k in satellite group j.

[0034] The calculation method of the negative enabling contribution degree of the described emergence characteristics is as follows:

[0035]

[0036] In formula (3), i is the emergence characteristic number, N i is the negative enabling attribute i, R jkFor the associated attribute k, λ in the satellite group j jk is the negative empowerment contribution coefficient corresponding to the associated attribute k in the satellite group j.

[0037] According to the comprehensive empowerment evaluation algorithm for the associated emergence characteristics of the giant constellation, evaluate the comprehensive empowerment results of different associated emergence characteristic groups. The specific algorithm for the comprehensive empowerment evaluation of associated emergence characteristics is as follows:

[0038]

[0039] In formula (4), i is the label of the associated emergence characteristic group, and T ij is the comprehensive empowerment evaluation result of the associated emergence characteristic group i; P ij is the comprehensive evaluation result of the positive empowerment characteristics, CF ij is the j-th positive empowerment characteristic, η ij is the evaluation coefficient of the j-th positive empowerment characteristic, M p is the positive empowerment characteristics participating in the evaluation; S ij is the comprehensive evaluation result of the negative empowerment characteristics, NF ij is the j-th negative empowerment characteristic, k ij is the evaluation coefficient of the j-th negative empowerment characteristic, M n is the negative empowerment characteristics participating in the evaluation; Threshold is the discrimination threshold for the positive and negative evaluations of the comprehensive empowerment of the associated emergence characteristic group i.

[0040] For the space characteristic group, according to the adaptive regulation process of the space characteristic group, periodically evaluate the comprehensive empowerment result and select the corresponding basic regulation operations to implement the regulation, including the following steps:

[0041] Step a: Based on the space coverage characteristic, space interference characteristic, collision threat characteristic, and astronomical observation occlusion characteristic, calculate the comprehensive empowerment result of the space characteristic group through the comprehensive empowerment evaluation algorithm for the associated emergence characteristics.

[0042] Step b: Judge whether the comprehensive empowerment result of the space characteristic group meets the task requirements. If it meets, start the next round of calculation, evaluation, and regulation process; if it does not meet, for the space coverage characteristic, space interference characteristic, collision threat characteristic, and astronomical observation occlusion characteristic, through basic operations such as orbital coordinate regulation, frequency band / waveband regulation, antenna / optical head regulation, and basic topology regulation, regulate the relevant characteristics in the order of the contribution degree of the negative empowerment characteristics from high to low.

[0043] Step c: After completing one round of regulation for the space coverage characteristic, space interference characteristic, collision threat characteristic, and astronomical observation occlusion characteristic, recalculate and update the group association attributes of the space characteristic group.

[0044] Step d: Recalculate the emergent properties of the updated spatial feature group based on the updated group association attributes of the spatial features.

[0045] Step e: One round of comprehensive empowerment evaluation and adaptive regulation process of the spatial feature group association emergent properties ends, and the calculation evaluation and adaptive regulation process of the next round of emergent properties begins.

[0046] When the comprehensive empowerment evaluation result meets the task requirements (i.e., T ij = 1), exit the adaptive regulation process.

[0047] For the energy efficiency feature group, according to the adaptive regulation process of the energy efficiency feature group, periodically evaluate the comprehensive empowerment result and select the corresponding basic regulation operations to implement regulation, including the following steps:

[0048] Step A: Based on the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy robustness characteristics, network operation and management complexity, and network security complexity, calculate the comprehensive empowerment result of the energy efficiency feature group through the associated emergent property comprehensive empowerment evaluation algorithm.

[0049] Step B: Determine whether the comprehensive empowerment result of the energy efficiency feature group meets the task requirements. If it meets, start the next round of calculation evaluation and regulation process; if it does not meet, for the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy robustness characteristics, network operation and management complexity, and network security complexity, through basic operations such as topology regulation, function regulation, resource regulation, and collaboration regulation, regulate the relevant characteristics in the order of the contribution degree of the negative empowerment characteristics from high to low.

[0050] Step C: After one round of regulation of the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy robustness characteristics, network operation and management complexity, and network security complexity, recalculate the group association attributes of the updated energy efficiency feature group.

[0051] Step D: Based on the updated group association attributes of the energy efficiency feature group, recalculate the emergent properties of the updated energy efficiency feature group.

[0052] Step E: One round of comprehensive empowerment evaluation and adaptive regulation process of the energy efficiency feature group association emergent properties ends, and the calculation evaluation and adaptive regulation process of the next round of emergent properties begins.

[0053] When the comprehensive empowerment evaluation result meets the task requirements (i.e., T ij = 1), exit the adaptive regulation process.

[0054] Compared with the prior art, the present invention has the following technical effects:

[0055] (Ⅰ) The giant constellation network regulation method based on the enabling characteristics provided by the present invention designs an emergence characteristics adaptive regulation process and a comprehensive enabling evaluation algorithm for associated emergence characteristics respectively according to the task requirements of different enabling characteristic groups, and adapts to the increasingly deteriorating strong confrontation conditions and meets the increasingly complex task requirements through the dynamic combination and autonomous regulation within the giant constellation, so as to realize the adaptive regulation of the emergence characteristics of the giant constellation.

[0056] The following further elaborates on the specific content of the present invention in conjunction with embodiments. Specific Embodiments

[0057] All components in the present invention, unless otherwise specified, are all components known in the prior art.

[0058] The following gives specific embodiments of the present invention. It should be noted that the present invention is not limited to the following specific embodiments, and all equivalent transformations made on the basis of the technical solution of the present application fall within the protection scope of the present invention.

[0059] The principle of the present invention mainly involves two aspects of problems: (1) the analysis and measurement method of the emergence characteristics of the giant constellation; (2) the adaptive regulation method of the emergence characteristics of the giant constellation.

[0060] In terms of the analysis and measurement of complex network characteristics, complex networks in reality often have universal characteristics such as "short distance, power-law degree distribution, high clustering coefficient", and at the same time present characteristics such as "robustness, vulnerability, modularity, self-similarity, community structure, hierarchy". In order to better understand the formation mechanism of these characteristics, researchers have proposed complex network representation methods, mainly involving incidence matrices, adjacency matrices, distance matrices, connectivity matrices, etc. The statistical characteristics mainly include degree distribution, average path length, clustering coefficient, betweenness, network resilience, etc. Existing research mainly focuses on the empirical statistics, structural characteristics, mathematical modeling of complex networks, and the influence of network topology on the dynamic processes thereon. However, for the giant constellation network, the task target attributes and constraint conditions of the satellite group are not fully considered, and the cooperative addition and negative impact relationships between satellite groups are not dialectically analyzed, resulting in the difficulty in depicting the behavior of the giant constellation network, analyzing the operation mechanism, and predicting the emergence ability.

[0061] Under the above background, the patent proposes a "giant constellation network regulation method based on enabling characteristics", which describes the emergence characteristics of the giant constellation according to the task objectives of the satellite group through "node basic attributes, group association attributes, positive enabling characteristics and negative enabling characteristics"; through the analysis and measurement architecture of the emergence characteristics of the giant constellation and the calculation method of the enabling contribution degree, the positive and negative enabling contribution degrees of the emergence characteristics of the giant constellation to the completion of the task objectives are evaluated, so as to realize the analysis and measurement of the emergence ability of the giant constellation.

[0062] In the aspect of regulating the emergent characteristics of complex networks, the relevant research mainly focuses on: the theoretical analysis framework of complex network controllability, optimizing the controllability of the network through structural perturbation, the attack vulnerability and robustness of network control, the influence of the main structural characteristics of the network on controllability, etc. However, there is a lack of means for regulating the self-adaptive and self-organizing emergent characteristics of the mega-constellation network.

[0063] Under the above background, the patent proposes a "self-adaptive regulation method for the emergent characteristics of mega-constellations", defines a basic set of regulation operations for emergent characteristics, and classifies different emergent characteristics into different groups according to the correlation relationship between positive and negative empowerment characteristics; according to the comprehensive empowerment evaluation algorithm for correlated emergent characteristics, the comprehensive empowerment results of different groups of correlated emergent characteristics are evaluated periodically and the corresponding basic regulation operations are selected to implement regulation, so as to maintain the benefits brought by positive empowerment characteristics while minimizing the influence of negative empowerment characteristics.

[0064] Embodiment 1:

[0065] This embodiment provides a regulation method for a giant constellation network based on empowerment characteristics, including:

[0066] Step 1: Introduce the analysis and measurement framework and calculation method for the emergent characteristics of the mega-constellation.

[0067] Obtain the basic node attributes of the giant constellation network.

[0068] According to the obtained basic node attributes, obtain the group correlation attributes between different satellite nodes in the giant constellation network.

[0069] According to the obtained group correlation attributes between different satellite nodes, obtain the emergent characteristics of the giant constellation network.

[0070] Step 2: Define the basic set of regulation operations for the emergent characteristics of the giant constellation network.

[0071] Step 3: Classify the obtained emergent characteristics.

[0072] Classify the described emergent characteristics into the positive empowerment characteristic group and the negative empowerment characteristic group.

[0073] Step 4: Classify the emergent characteristics into a spatial characteristic group and an energy efficiency characteristic group.

[0074] According to the correlation relationship between the positive and negative empowerment contribution degrees, classify different emergent characteristics into the spatial characteristic group and the energy efficiency characteristic group.

[0075] For the task requirements of the spatial characteristic group and the energy efficiency characteristic group, adopt corresponding evaluation methods respectively to achieve the dynamic combination and autonomous regulation within the giant constellation network.

[0076] The inherent attributes and constraints of satellite nodes are reflected through "node basic attributes".

[0077] The association relationships and degrees among different nodes in a satellite group are reflected through "group association attributes".

[0078] The influence effects and degrees of group association attributes and emergent characteristics on achieving the task objectives of a satellite group are reflected through "positive enabling characteristics" and "negative enabling characteristics".

[0079] Positive enabling characteristics: Reflect the positive enabling degree of emergent characteristics on achieving the task objectives of a satellite group.

[0080] Negative enabling characteristics: Reflect the negative enabling degree of emergent characteristics on achieving the task objectives of a satellite group.

[0081] As an optimization of this embodiment:

[0082] The described node basic attributes include: orbital coordinate attributes, link attributes (number of links, antenna / optical head, frequency band / wavelength band, maximum pointing angle / farthest communication distance / highest communication rate, etc.), function attributes, resource attributes, computing power attributes, connectivity attributes, and coverage attributes.

[0083] The described group association attributes include: function association attributes, resource association attributes, computing power association attributes, connectivity association attributes, coverage association attributes, and replacement attributes.

[0084] The described emergent characteristics include: space coverage characteristics, sensing and mapping characteristics (including: navigation / positioning / time service), access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, interference characteristics, debris collision threat characteristics, astronomical observation occlusion characteristics, network operation and maintenance management complexity, and network security assurance complexity.

[0085] The described space characteristic group includes space coverage characteristics, space interference characteristics, debris collision threat characteristics, and astronomical observation occlusion characteristics.

[0086] The described energy efficiency characteristic group includes sensing and mapping characteristics, access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, network operation and maintenance management complexity, and network security assurance complexity.

[0087] The described positive enabling characteristics include: space coverage characteristics, sensing and mapping characteristics (including: navigation / positioning / time service), access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, and redundancy and robustness characteristics.

[0088] The negative enabling characteristics described above include: spatial interference characteristics, debris collision threat characteristics, astronomical observation occlusion characteristics, network operation and maintenance management complexity (user satellite management, resource management, mobility management, routing planning, protocol overhead, etc.), and network security assurance complexity.

[0089] As an optimization of this embodiment:

[0090] The basic regulation operation set of the emergence characteristics of the giant constellation described above includes: orbital coordinate regulation, frequency band / wavelength band regulation, antenna / optical head regulation, topology regulation, function regulation, resource regulation, and cooperation regulation.

[0091] 1) Orbital coordinate regulation: Adjust the orbital altitude, orbital plane, orbital position, etc. of the target satellite.

[0092] 2) Frequency band / wavelength band regulation: Adjust the working frequency band of the inter-satellite or satellite-ground microwave link and the working wavelength band of the laser link of the target satellite.

[0093] 3) Antenna / optical head regulation: Adjust the pointing of the antenna / optical head of the target satellite, antenna shaping, transmission power, etc.

[0094] 4) Topology regulation: Adjust the topological relationship of the target satellite group, inter-satellite link establishment relationship, etc.

[0095] 5) Function regulation: mainly includes function migration, function replication, function shutdown, function recombination, etc.

[0096] 6) Resource regulation: mainly includes resource allocation, resource recycling, resource reservation, etc.

[0097] 7) Cooperation regulation: Adjust the cooperation relationship between satellites in the target satellite group, etc.

[0098] As an optimization of this embodiment:

[0099] The group association attributes described above are obtained by calculating the node basic attributes, and the calculation method is as follows:

[0100]

[0101] In formula (1), i is the satellite group number; j is the association attribute number; N is the number of satellite groups; k is the number of basic attributes; R ij is the jth association attribute in the ith satellite group; p jk is the kth basic attribute of the ith satellite group; s.t. represents the constraint condition.

[0102] The positive enabling contribution degree of the emergence characteristics is calculated as follows:

[0103]

[0104] In Equation (2): i is the emergence characteristic number; C i is the positive enabling attribute; R jk is the associated attribute k in satellite group j, is the positive enabling contribution coefficient corresponding to the associated attribute k in satellite group j; s.t. represents the constraint condition; N is the number of satellite groups.

[0105] The calculation method of the negative enabling contribution degree of the emergence characteristic is as follows:

[0106]

[0107]

[0108] In Equation (3): i is the emergence characteristic number; M i is the negative enabling attribute; R jk is the associated attribute k in satellite group j; λ jk is the negative enabling contribution coefficient corresponding to the associated attribute k in satellite group j; s.t. represents the constraint condition, and N is the number of satellite groups.

[0109] As a preference of this embodiment:

[0110] According to the comprehensive enabling evaluation algorithm for the associated emergence characteristics of the giant constellation, evaluate the comprehensive enabling results of different associated emergence characteristic groups. The specific comprehensive enabling evaluation algorithm for the associated emergence characteristics is as follows:

[0111]

[0112] In Equation (4), i is the label of the associated emergence characteristic group, T ij is the comprehensive enabling evaluation result of the associated emergence characteristic group i; P ij is the comprehensive evaluation result of the positive enabling characteristics, CF ij is the j-th positive enabling characteristic, η ij is the evaluation coefficient of the j-th positive enabling characteristic, M p is the positive enabling characteristics participating in the evaluation; S ij is the comprehensive evaluation result of the negative enabling characteristics, NF ij is the j-th negative enabling characteristic, k ij is the evaluation coefficient of the j-th negative enabling characteristic, M n is the negative enabling characteristics participating in the evaluation; Threshold is the positive and negative evaluation discrimination threshold of the comprehensive enabling of the associated emergence characteristic group i.

[0113] For the spatial characteristic group, according to the spatial characteristic group adaptive regulation process, periodically evaluate the comprehensive enabling result and select the corresponding basic regulation operations for implementation, including the following steps:

[0114] Step a: Based on the space coverage characteristics, space interference characteristics, collision threat characteristics, and astronomical observation occlusion characteristics, the comprehensive empowerment result of the space characteristic group is calculated through the comprehensive empowerment evaluation algorithm of the associated emergence characteristics.

[0115] Step b: Determine whether the comprehensive empowerment result of the space characteristic group meets the task requirements. If it meets, start the next round of calculation evaluation and regulation process; if it does not meet, for the space coverage characteristics, space interference characteristics, collision threat characteristics, and astronomical observation occlusion characteristics, through basic operations such as orbital coordinate regulation, frequency band / waveband regulation, antenna / optical head regulation, and base topology regulation, regulate the relevant characteristics in turn according to the order of the contribution degree of negative empowerment characteristics from high to low.

[0116] Step c: After one round of regulation of the space coverage characteristics, space interference characteristics, collision threat characteristics, and astronomical observation occlusion characteristics, recalculate and update the group association attributes of the space characteristic group.

[0117] Step d: Based on the updated group association attributes of the space characteristic group, recalculate and update the emergence characteristics of the space characteristic group.

[0118] Step e: One round of the comprehensive empowerment evaluation and adaptive regulation process of the space characteristic group association emergence characteristics ends, and start the next round of calculation evaluation and adaptive regulation process of the emergence characteristics.

[0119] When the comprehensive empowerment evaluation result meets the task requirements (i.e., T ij = 1), exit the adaptive regulation process.

[0120] For the energy efficiency characteristic group, according to the adaptive regulation process of the energy efficiency characteristic group, periodically evaluate the comprehensive empowerment result and select the corresponding basic regulation operations to implement regulation, including the following steps:

[0121] Step A: Based on the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy robustness characteristics, network operation and management complexity, and network security complexity, the comprehensive empowerment result of the energy efficiency characteristic group is calculated through the comprehensive empowerment evaluation algorithm of the associated emergence characteristics.

[0122] Step B: Determine whether the comprehensive empowerment result of the energy efficiency characteristic group meets the task requirements. If it meets, start the next round of calculation evaluation and regulation process; if it does not meet, for the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy robustness characteristics, network operation and management complexity, and network security complexity, through basic operations such as topology regulation, function regulation, resource regulation, and cooperation regulation, regulate the relevant characteristics in turn according to the order of the contribution degree of negative empowerment characteristics from high to low.

[0123] Step C: After completing a round of regulation, recalculate and update the group association attributes of the energy efficiency characteristic group for the perception mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy and robustness characteristics, network operation and management complexity, and network security complexity.

[0124] Step D: Based on the updated group association attributes of the energy efficiency characteristic group, recalculate and update the emergence characteristics of the energy efficiency characteristic group.

[0125] Step E: After the comprehensive empowerment evaluation and adaptive regulation process of a round of energy efficiency characteristic group association and emergence characteristics is completed, start the calculation evaluation and adaptive regulation process of the next round of emergence characteristics.

[0126] When the comprehensive empowerment evaluation result meets the task requirements (i.e., T ij = 1), exit the adaptive regulation process.

[0127] The above technical solutions are only the preferred specific implementation manners of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be thought of by those skilled in the art within the technical scope disclosed by the present invention without creative efforts are covered by the protection scope of the present invention.

Claims

1. A method for controlling a giant constellation network based on enabling characteristics, characterized in that: include: Step 1: Obtain the basic properties of nodes in the giant constellation network; According to the obtained node basic attributes, the group association attributes between different satellite nodes in the giant constellation network are obtained; According to the obtained group correlation properties between different satellite nodes, the emergent properties of the giant constellation network are obtained; Step 2: Define the basic control operation set of the emergent characteristics of the giant constellation network; Step 3: Classify the emergent characteristics into two groups, spatial characteristic group and energy efficiency characteristic group; Step 4: According to the task requirements of the spatial characteristic group and the energy efficiency characteristic group, corresponding evaluation methods are adopted to achieve dynamic combination and autonomous regulation within the giant constellation network.

2. The method for controlling a giant constellation network based on enabling characteristics according to claim 1, characterized in that: The basic attributes of the node include: orbital coordinate attributes, link attributes, function attributes, resource attributes, computing power attributes, connectivity attributes and coverage attributes; The group association attributes include: function association attributes, resource association attributes, computing power association attributes, connectivity association attributes, coverage association attributes and replacement attributes; The emergent characteristics include: spatial coverage characteristics, perception and mapping characteristics, access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, inter-interference characteristics, debris collision threat characteristics, astronomical observation obstruction characteristics, network operation and maintenance management complexity, and network security assurance complexity; The space characteristic group includes space coverage characteristics, space interference characteristics, debris collision threat characteristics and astronomical observation shielding characteristics; The energy efficiency characteristic group includes perception and mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy and robustness characteristics, network operation and maintenance management complexity, and network security assurance complexity; Among them, spatial coverage characteristics, perception and mapping characteristics, access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, and redundancy and robustness characteristics belong to positive enabling characteristics; Space interference characteristics, debris collision threat characteristics, astronomical observation obstruction characteristics, network operation and maintenance management complexity, and network security assurance complexity are negative enabling characteristics.

3. The giant constellation network control method based on enabling characteristics according to claim 1, characterized in that: The basic control operation set of the emergent characteristics of the giant star constellation includes: orbital coordinate control, frequency band / waveband control, antenna / optical head control, topology control, function control, resource control and collaborative control.

4. The giant constellation network control method based on enabling characteristics according to claim 2, characterized in that: The group association attribute is obtained by calculating the basic attributes of the node. The calculation method is as follows: In formula (1), i is the satellite group number; j is the associated attribute number; N is the number of satellite groups; k is the number of the basic attribute; R ij is the jth associated attribute in the i-th satellite group; p jk is the kth basic attribute of the i-th satellite group; st represents the constraint condition; The positive empowerment contribution of the emergent characteristics is calculated as follows: In formula (2), i is the emergent characteristic number; C i It is a positive empowerment attribute; R jk is the associated attribute k in satellite group j, is the positive empowerment contribution coefficient corresponding to the associated attribute k in satellite group j; st represents the constraint condition; N is the number of satellite groups; The negative empowerment contribution of the emergent characteristics is calculated as follows: In formula (3), i is the emergent characteristic number; N i It is a negative empowering attribute; R jk is the associated attribute k in satellite group j; jk is the negative empowerment contribution coefficient corresponding to the associated attribute k in satellite group j; st represents the constraint condition; N is the number of satellite groups.

5. The method for controlling a giant constellation network based on enabling characteristics according to claim 2, characterized in that: According to the evaluation algorithm of comprehensive empowerment of the associated emergent characteristics of the giant stars, the comprehensive empowerment results of different associated emergent characteristic groups are evaluated. The evaluation algorithm of comprehensive empowerment of associated emergent characteristics is as follows: In formula (4), i is the index of the associated emergent feature group; T ij is the comprehensive empowerment evaluation result of the associated emergent characteristic group i; P ij is the comprehensive evaluation result of positive enabling characteristics; CF ij is the jth positive enabling characteristic; η ij is the evaluation coefficient of the jth positive empowering characteristic; M p The positive empowering characteristics of participating in evaluation; S ij NF is the comprehensive evaluation result of negative enabling characteristics; ij is the jth negative enabling characteristic; k ij is the evaluation coefficient of the j-th negative enabling characteristic; M n for the negative enabling characteristics of participation evaluation; Thh is the comprehensive empowerment positive and negative evaluation discrimination threshold of the associated emergent feature group i; For the spatial characteristic group, according to the spatial characteristic group adaptive control process, the comprehensive empowerment results are periodically evaluated and the corresponding basic control operations are selected to implement the control, including the following steps: Step a: Based on the spatial coverage characteristics, spatial interference characteristics, collision threat characteristics, and astronomical observation occlusion characteristics, the comprehensive empowerment results of the spatial characteristic group are calculated through the associated emergent characteristic comprehensive empowerment evaluation algorithm; Step b: Determine whether the comprehensive empowerment result of the spatial characteristic group meets the task requirements. If so, start the next round of calculation, evaluation and regulation process; If not, then for the spatial coverage characteristics, spatial interference characteristics, collision threat characteristics and astronomical observation obstruction characteristics, the basic operations in the basic control operation set of the giant constellation network emergent characteristics defined in step 2 are used to control the relevant characteristics in the order of the contribution of the negative enabling characteristics; Step c: after completing a round of regulation of the spatial coverage characteristics, spatial interference characteristics, collision threat characteristics and astronomical observation shielding characteristics, the group association attributes of the spatial characteristic group are recalculated and updated; Step d: recalculating the emergent characteristics of the updated spatial characteristic group based on the updated spatial characteristic group group association attributes; Step e: a round of spatial characteristic group-related emergent characteristic comprehensive empowerment evaluation and adaptive control process ends, and the next round of emergent characteristic calculation evaluation and adaptive control process begins; When the comprehensive empowerment evaluation results meet the task requirements, that is: T ij =1, exit the adaptive control process; For energy efficiency characteristic groups, according to the energy efficiency characteristic group adaptive control process, periodically evaluate the comprehensive empowerment results and select the corresponding basic control operations to implement control, including the following steps: Step A: Based on the perception and mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, network operation and management complexity, and network security complexity, the comprehensive empowerment results of the energy efficiency characteristic group are calculated through the comprehensive empowerment evaluation algorithm of the associated emergent characteristics; Step B: Determine whether the comprehensive empowerment result of the energy efficiency characteristic group meets the task requirements; if so, start the next round of calculation evaluation and regulation process; If not, then for the sensing and mapping characteristics, access and transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power and storage characteristics, redundancy and robustness characteristics, network operation and management complexity, and network security complexity, the basic operations in the basic control operation set of the emerging characteristics of the giant constellation network defined in step 2 are used to control the relevant characteristics in the order of the contribution of the negative enabling characteristics. Step C: After completing a round of regulation, the sensing and mapping characteristics, access transmission characteristics, network connectivity characteristics, network capacity characteristics, computing power storage characteristics, redundancy and robustness characteristics, network operation and management complexity, and network security complexity are recalculated and updated to update the group association attributes of the energy efficiency characteristic group; Step D: recalculating the emergent characteristics of the updated energy efficiency characteristic group based on the updated group association attributes of the energy efficiency characteristic group; Step E: A round of comprehensive empowerment evaluation and adaptive control process of energy efficiency characteristic group-associated emergent characteristics is completed, and the next round of calculation evaluation and adaptive control process of emergent characteristics begins. When the comprehensive empowerment evaluation results meet the task requirements, that is: T ij =1, exit the adaptive control process.

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