Satellite communication vehicle rapid networking control method and system based on Beidou short message

Abstract

The application provides a satellite communication vehicle rapid networking control method and system based on a Beidou short message, relates to the technical field of satellite communication vehicles, and comprises the following steps: when a plurality of satellite communication vehicles receive a networking request instruction, obtaining broadcast information of each communication vehicle according to a Beidou short message communication module; performing networking access topology optimization; performing hierarchical node control analysis according to a networking topology model; performing real-time sensing on a networking communication network to obtain a networking sensing data set; and performing abnormal self-recovery optimization on the networking communication network. The application solves the technical problem that, in the prior art, due to the complex configuration and long process in the use of a satellite communication vehicle, the satellite communication vehicle networking relies on a conventional communication link, and thus it is difficult to rapidly network in an extreme scenario without ground communication support. In the extreme scenario without ground communication support, a self-organizing, self-managing and self-recovering communication system is realized by relying on a Beidou short message.

Description

Technical Field

[0001] This application relates to the field of satellite communication vehicle technology, and in particular to a rapid networking control method and system for satellite communication vehicles based on BeiDou short message service. Background Technology

[0002] Satellite communication boasts advantages such as wide signal coverage, large transmission bandwidth, no distance limitations, and independence from conventional ground-based communication facilities, making it a crucial technology for emergency mobile communication. Satellite communication vehicles, as vehicle-mounted mobile satellite communication platforms, are a vital force in emergency mobile communication. Currently, satellite communication vehicles require prior negotiation with remote stations regarding system parameters such as carrier frequency, modulation method, and coding rate during network deployment. However, parameter negotiation typically relies on conventional communication methods, severely limiting the networking capabilities of satellite communication vehicles in extreme scenarios without ground-based communication support. Current networking methods also require significant manual configuration, a cumbersome process demanding high levels of technical expertise from operators. Each communication vehicle typically requires 2-3 professionals for configuration, increasing deployment time and labor costs, and limiting its adaptability in rapid response scenarios.

[0003] In summary, existing technologies suffer from technical problems such as the complexity and lengthy configuration process of satellite communication vehicles, and the reliance on conventional communication links for satellite communication vehicle networking, making it difficult to quickly establish a network in extreme scenarios without ground communication support. Summary of the Invention

[0004] The purpose of this application is to provide a rapid networking control method and system for satellite communication vehicles based on BeiDou short message service, in order to solve the technical problems in the prior art, which are that the configuration of satellite communication vehicles is complex and the process is long, and the networking of satellite communication vehicles relies on conventional communication links, making it difficult to quickly form a network in extreme scenarios without ground communication support.

[0005] In view of the above problems, this application provides a rapid networking control method and system for satellite communication vehicles based on BeiDou short message service.

[0006] Firstly, this application provides a rapid networking control method for satellite communication vehicles based on BeiDou short message service. This method is implemented through a rapid networking control system for satellite communication vehicles based on BeiDou short message service. The method includes: when multiple satellite communication vehicles receive networking request instructions, obtaining broadcast information from each vehicle using the BeiDou short message communication module; optimizing the network access topology based on the broadcast information to generate a network topology model; performing hierarchical node control parsing based on the network topology model to generate a network communication network; performing real-time sensing of the network communication network to obtain a network sensing dataset; and performing anomaly self-recovery optimization of the network communication network based on the network sensing dataset.

[0007] Optionally, the BeiDou short message communication module is generated based on the multiple BeiDou short message communication terminals of the multiple satellite communication vehicles.

[0008] Optionally, a multi-dimensional broadcast indicator is obtained, which includes identity features, geographical location features, and current communication features; data is read from the BeiDou short message communication module based on the multi-dimensional broadcast indicator to obtain multiple broadcast datasets; the multiple broadcast datasets are cleaned to generate broadcast information for each communication vehicle.

[0009] Optionally, network access is performed based on the broadcast information of each communication vehicle to obtain a first network access topology model; link hop count minimization correction is performed based on the first network access topology model to generate a second network access topology model; and communication node load balancing optimization is performed based on the second network access topology model to obtain the network topology model.

[0010] Optionally, hierarchical node factors are obtained, including master control nodes, relay nodes, and terminal nodes; hierarchical node roles are assigned to the network topology model according to the hierarchical node factors to obtain network role allocation results; adaptive control is performed on the network topology model according to the network role allocation results to obtain the network communication network.

[0011] Optionally, anomaly detection is performed based on the network awareness dataset to obtain anomaly detection results for each node; risk prediction is performed based on the anomaly detection results for each node to obtain risk coefficients for each node; a network maintenance priority sequence is generated based on the risk coefficients for each node, and network anomaly recovery management is performed in conjunction with the anomaly detection results for each node.

[0012] Optionally, if any node risk coefficient among the node risk coefficients is greater than or equal to the node risk threshold, a network node early warning signal is generated.

[0013] Secondly, this application also provides a rapid networking control system for satellite communication vehicles based on BeiDou short message service, used to execute the rapid networking control method for satellite communication vehicles based on BeiDou short message service as described in the first aspect. The rapid networking control system for satellite communication vehicles based on BeiDou short message service includes: an instruction receiving unit, used to obtain broadcast information of each communication vehicle according to the BeiDou short message communication module when multiple satellite communication vehicles receive networking request instructions; a topology optimization unit, used to perform networking access topology optimization based on the broadcast information of each communication vehicle, generating a networking topology model; a node control parsing unit, used to perform hierarchical node control parsing based on the networking topology model, generating a networking communication network; a real-time sensing unit, used to perform real-time sensing of the networking communication network, obtaining a networking sensing dataset; and an anomaly self-recovery unit, used to perform anomaly self-recovery optimization of the networking communication network based on the networking sensing dataset.

[0014] One or more technical solutions provided in this application have at least the following beneficial effects:

[0015] When multiple satellite communication vehicles receive a network deployment request command, the system obtains broadcast information from each vehicle using the BeiDou short message communication module. Based on this broadcast information, it optimizes the network access topology to generate a network topology model. Then, it performs hierarchical node control analysis based on the network topology model to generate a network communication network. The system performs real-time sensing of the network communication network to obtain a network sensing dataset. Finally, it optimizes the network communication network for anomaly self-recovery based on the network sensing dataset. In other words, by utilizing the short message communication capability of the BeiDou satellite, a communication network composed of multiple satellite communication vehicles can be rapidly constructed in emergency communication scenarios, achieving collaborative control and efficient data transmission between nodes. In extreme scenarios without terrestrial communication support, a self-organizing, self-managing, and self-recovering communication system is achieved relying on BeiDou short messages.

[0016] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the rapid networking control method for satellite communication vehicles based on BeiDou short message service, as described in this application.

[0019] Figure 2 This is a schematic diagram of the structure of the rapid networking control system for satellite communication vehicles based on BeiDou short message service, as described in this application.

[0020] Explanation of reference numerals in the attached figures: Command receiving unit 11, topology optimization unit 12, node control parsing unit 13, real-time sensing unit 14, and anomaly self-recovery unit 15. Detailed Implementation

[0021] This application provides a rapid networking control method and system for satellite communication vehicles based on BeiDou short message service. It addresses the technical challenges of existing technologies where complex and lengthy configuration processes for satellite communication vehicles, coupled with reliance on conventional communication links, hinder rapid network establishment in extreme scenarios without terrestrial communication support. By leveraging the short message communication capabilities of BeiDou satellites, a communication network composed of multiple satellite communication vehicles can be rapidly constructed in emergency communication scenarios. This enables collaborative control and efficient data transmission between nodes, achieving a self-organizing, self-managing, and self-recovering communication system in extreme scenarios without terrestrial communication support, relying on BeiDou short message service.

[0022] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0023] Example 1, please refer to the appendix. Figure 1 This application provides a rapid networking control method for satellite communication vehicles based on BeiDou short message service. The rapid networking control method for satellite communication vehicles based on BeiDou short message service is executed by a rapid networking control system for satellite communication vehicles based on BeiDou short message service. The specific steps of the rapid networking control method for satellite communication vehicles based on BeiDou short message service are as follows:

[0024] S100: When multiple satellite communication vehicles receive a network request command, they obtain broadcast information from each communication vehicle based on the BeiDou short message communication module.

[0025] Furthermore, this application S100 includes:

[0026] The BeiDou short message communication module is generated based on the multiple BeiDou short message communication terminals of the multiple satellite communication vehicles.

[0027] Furthermore, this application also includes the following steps:

[0028] A multi-dimensional broadcast indicator is obtained, which includes identity features, geographical location features, and current communication features; data is read from the BeiDou short message communication module based on the multi-dimensional broadcast indicator to obtain multiple broadcast datasets; the multiple broadcast datasets are cleaned to generate broadcast information for each communication vehicle.

[0029] Specifically, a satellite communication vehicle is a vehicle-mounted platform equipped with a satellite communication system, primarily used for remote communication of voice, images, and data in the absence of a terrestrial network, and widely applied in emergency command and other scenarios. A BeiDou short message communication terminal is a device with BeiDou satellite short message functionality, sending / receiving short messages (generally up to 120 bytes) via the BeiDou satellite system, suitable for long-distance communication scenarios without a terrestrial network. Each vehicle is equipped with one or more BeiDou short message communication terminals, which are centrally managed by the vehicle's central control unit (CCU). The CCU collects communication data and status from each terminal, processes it at the protocol layer, and forms a unified communication module interface. Multiple BeiDou short message communication terminals on multiple satellite communication vehicles constitute a BeiDou short message communication module. The BeiDou short message communication module is a functional unit formed by integrating multiple BeiDou short message communication terminals, responsible for the unified management and coordination of these terminals for data transmission, processing, and forwarding.

[0030] The rapid networking of satellite communication vehicles based on BeiDou short message service is mainly achieved through the collaborative operation of two parts: the central station rapid networking subsystem and the vehicle-mounted station rapid networking subsystem. The central station rapid networking subsystem includes a server, dual BeiDou terminals, and central rapid networking subsystem software running on the server. The software allows users to edit and select commands, such as satellite communication equipment configuration commands, and then control one of the dual BeiDou terminals, sending the commands to that terminal via serial port. The vehicle-mounted station rapid networking subsystem controls and manages the vehicle-mounted station through the dual BeiDou terminals. After receiving a short message, the BeiDou terminal transmits its content to the central control unit (CCU) via serial port. The vehicle-mounted station rapid networking subsystem software running on the CCU analyzes the message content and determines its function code. If it is a satellite communication equipment configuration command, the software automatically configures the satellite communication equipment of the vehicle-mounted station through the device interface based on the parameters in the command, such as frequency, modulation method, and coding rate.

[0031] When multiple satellite communication vehicles receive a network deployment request command, they respond through their built-in BeiDou short message communication module. The BeiDou short message communication module first parses the specific requirements of the command, and then obtains the necessary broadcast information from each communication vehicle's system, including vehicle identity, current location, and communication status, ensuring that the network control system can monitor the basic situation of network nodes in real time. It obtains multiple broadcast indicators and reads data from the BeiDou short message communication module to acquire multiple broadcast datasets, including the identification features, geographical location features, and current communication features of each communication vehicle.

[0032] Multiple broadcast datasets are cleaned to remove outliers (such as packet loss and format errors) and filter duplicate messages, ensuring data integrity and accuracy to obtain broadcast information from each communication vehicle. By collecting and cleaning multi-dimensional broadcast indicators containing identity, location, and communication status, the network status and geographical distribution of each satellite communication vehicle can be accurately and in real time monitored. This ensures that the networking system makes optimization decisions based on high-quality data, avoiding network failures due to errors or redundant information.

[0033] S200: Optimize the network access topology based on the broadcast information from each communication vehicle, and generate a network topology model.

[0034] Furthermore, this application S200 includes:

[0035] Based on the broadcast information from each communication vehicle, network access is performed to obtain a first network access topology model; based on the first network access topology model, link hop count minimization correction is performed to generate a second network access topology model; based on the second network access topology model, communication node load balancing optimization is performed to obtain the network topology model.

[0036] Specifically, network access is established based on broadcast information from each communication vehicle. Appropriate satellite communication vehicles are selected for network access, constructing a preliminary network topology model, known as the first network access topology model. This model displays which vehicles are interconnected, forming the initial network access structure. The first network access topology model is a preliminary network structure model, typically consisting of all communication nodes (satellite communication vehicles) and their interconnections.

[0037] Based on the first topology model, optimization algorithms (such as Dijkstra's algorithm) are used to calculate the shortest path between each pair of communicating vehicles, reducing the number of hops between nodes in the network. For example, if the direct connection between vehicle A and vehicle B has a long number of hops, relay node C is selected to optimize the path, minimizing the link hops from A to B. Link hop minimization correction improves network communication efficiency by optimizing the number of link hops in the network, reducing the number of hops required to transmit data from the source node to the target node, reducing latency, and improving bandwidth utilization. Through link hop minimization correction, a second network access topology model is generated, which optimizes the number of link hops, reduces unnecessary communication hops, and lowers latency and communication load.

[0038] The second topology model for network access is optimized by performing load balancing on communication nodes. By rationally distributing the load (such as traffic and bandwidth) among communication nodes, the overburdening of any single node is avoided, thereby optimizing the overall network performance and obtaining the network topology model. Some communication nodes in the network (such as vehicle terminals) may carry excessive traffic or data loads, leading to communication congestion or delays. Load balancing algorithms (such as traffic scheduling and bandwidth allocation algorithms) are used to rationally distribute the load among nodes, preventing any single node from being overloaded. For example, some communication nodes may be overloaded due to excessive data forwarding. By adjusting connection strategies, some traffic is distributed to other nodes, balancing the load of the entire network. The optimized topology (network topology model) can maximize network stability, traffic distribution efficiency, and transmission rate. The network topology model obtained through load balancing optimization not only has the fewest link hops but also achieves balanced load across nodes, supporting efficient and stable communication networking.

[0039] S300: Perform hierarchical node control parsing based on the network topology model to generate a network communication network.

[0040] Furthermore, this application S300 includes:

[0041] Obtain hierarchical node factors, including master control nodes, relay nodes, and terminal nodes; assign hierarchical node roles to the network topology model according to the hierarchical node factors to obtain network role allocation results; perform adaptive control on the network topology model according to the network role allocation results to obtain the network communication network.

[0042] Specifically, the hierarchical node factor in the network topology model divides the various nodes (satellite communication vehicles) in the network into different roles based on their different communication functions and functions, including master control nodes, relay nodes, and terminal nodes. The master control node is responsible for network management and control, and is usually the core node of the network, responsible for coordinating with other nodes and distributing communication commands; relay nodes play a forwarding role in the network, connecting master control nodes and terminal nodes to ensure the forwarding and flow of signals and data; terminal nodes are the outermost nodes accessing the network, typically performing data collection, transmission, and reception.

[0043] Based on hierarchical node factors, the network topology model is hierarchically assigned node roles. The role of each node is identified according to the communication status and functional requirements between satellite communication vehicles. For example, a node located near the network center may become a master control node, responsible for network management; while nodes farther away or at the network edge may become terminal nodes. The main functions of each node are determined by considering actual scenario requirements, such as the geographical location between communication vehicles, bandwidth requirements, and load conditions. Network role allocation refers to determining the role of each node in the network based on the network topology model and hierarchical node factors, i.e., deciding which nodes act as master control nodes, which as relay nodes, and which as terminal nodes to ensure network efficiency and stability. Master control nodes are responsible for distributing tasks to other nodes and coordinating data transmission paths. Master control nodes typically have a heavier workload, responsible for network status monitoring, node configuration, and communication link adjustment. Relay nodes are responsible for forwarding data and optimizing network paths, especially acting as bridges in long-distance transmission. Terminal nodes are mainly responsible for data collection and transmission, serving as the end of the network.

[0044] Based on the network role allocation results and combined with real-time network data (such as communication quality, node load, link status, etc.), the network topology is dynamically adjusted. For example, if a relay node is overloaded, its role is reassigned, and another node is selected to take over the relay task to ensure uninterrupted communication. When node failures, insufficient bandwidth, or excessive node load occur, node roles are dynamically adjusted or the network topology is reconfigured to ensure network stability and performance. The status of each node and network quality are continuously monitored to ensure that the network configuration is always in optimal condition.

[0045] A network communication system is a communication network that has undergone hierarchical node factor division and role assignment. It possesses automatic adjustment and optimization capabilities, enabling it to adapt to different environmental conditions and communication needs while maintaining network efficiency and reliability. It dynamically adjusts node roles and tasks based on different network states and node conditions, ensuring network stability and efficiency in complex and dynamic environments. Through reasonable role allocation and load balancing, it avoids overload problems for some nodes, improving the overall network communication capacity and reliability.

[0046] S400: Perform real-time sensing of the network communication network to obtain a network sensing dataset.

[0047] Specifically, real-time sensing of the network communication system involves continuous monitoring and collection of various key indicators such as network operation status, node performance, and link quality to ensure the timeliness and accuracy of network status information. Real-time sensing refers to the continuous monitoring of the status of each node, link quality, and data traffic in the network to obtain real-time operational data. Each satellite communication vehicle is equipped with a communication link monitoring module, a load monitoring module, and position sensors, which continuously collect node operation data and communication quality indicators. The collected monitoring data is uploaded to the central control unit (CCU) in real-time or periodically via the BeiDou short message communication module. The real-time collected data may contain noise or outliers. Pre-set cleaning algorithms (such as filtering and anomaly detection) are used to remove erroneous or invalid data to ensure the accuracy of subsequent processing. The network sensing dataset is encoded in a unified format, including fields such as timestamp, node ID, status indicator value, and event type. The network sensing dataset is a multi-dimensional data set reflecting the current state of the network, obtained through real-time sensing, including information such as node load, link quality, communication latency, packet loss rate, node location changes, and abnormal events. Real-time sensing can provide real-time network status, including the operational status of each node and link quality, ensuring efficient network operation.

[0048] S500: Perform anomaly self-recovery optimization on the network communication network based on the network awareness dataset.

[0049] Furthermore, this application S500 includes:

[0050] Anomaly detection is performed based on the network awareness dataset to obtain anomaly detection results for each node; risk prediction is performed based on the anomaly detection results for each node to obtain risk coefficients for each node; a network maintenance priority sequence is generated based on the risk coefficients for each node, and network anomaly recovery management is performed in conjunction with the anomaly detection results for each node.

[0051] Furthermore, this application also includes the following steps:

[0052] If any node risk coefficient is greater than or equal to the node risk threshold, a network node early warning signal is generated.

[0053] Specifically, based on real-time monitoring data from the network sensing dataset, a pre-defined anomaly detection algorithm is used to analyze the status of each node. The anomaly detection algorithm can employ threshold detection (e.g., a signal-to-noise ratio below 15dB is considered an anomaly) to identify potential problems or abnormal situations in the network. For example, if the data transmission rate of a node suddenly decreases, or the load of a node suddenly increases, the anomaly detection results for each node are obtained, identifying the anomaly type (communication interruption, link quality degradation, equipment overload, etc.). The anomaly detection results for each node represent the anomaly judgment for each network node (i.e., each satellite communication vehicle), and may include information such as the anomaly type and severity.

[0054] After identifying anomalies, risk prediction is performed to assess their potential impact on the network. For example, if an anomaly in a node could cause a communication outage across the entire network, then the risk factor for this anomaly would be high. Combining anomaly detection results with historical operational data, a risk assessment model is applied to predict node risks, calculating the probability of future failures for each node and deriving a risk factor. The risk factor for each node is a quantified risk indicator; a higher value indicates a higher risk. All nodes are ranked by their risk factors, forming a maintenance priority sequence from high to low. This guides maintenance personnel or automated management systems to prioritize high-risk nodes and allocate maintenance resources and scheduling tasks accordingly. The network maintenance priority sequence is the node maintenance order generated based on the risk factor ranking, prioritizing the handling of nodes with higher risks.

[0055] Based on the node anomaly detection results, corresponding recovery measures are formulated, such as restarting equipment, adjusting link parameters, and switching to backup links. Recovery operations are executed by sending commands through the Central Control Unit (CCU), achieving automatic or semi-automatic anomaly recovery. The dual BeiDou terminal ping-pong mechanism is used to quickly send recovery commands, reducing communication latency. The recovery effect is monitored and fed back to the sensing dataset, forming a closed-loop management system.

[0056] Network anomaly recovery management is implemented by combining the anomaly detection results and maintenance priority sequence of each node. The purpose of anomaly recovery management is to take measures to restore network operations as quickly as possible after an anomaly is detected, thereby minimizing the impact of the anomaly on the network. For example, if an anomaly in a node causes a communication interruption, network communication can be restored by replacing that node or adjusting the network topology.

[0057] A node risk coefficient is typically a numerical value representing the probability of a node failing or experiencing performance degradation. For example, 0 indicates no risk, and 1 indicates extremely high risk. Based on historical data and actual network performance, a node risk threshold is set to determine whether a node is in a high-risk state. If a node's risk coefficient reaches or exceeds this threshold, it indicates that the node's risk has reached the warning level. The node risk threshold is dynamically adjusted according to specific scenarios. For example, in some special scenarios, the risk threshold may need to be lowered to ensure earlier warnings; while in more stable scenarios, the threshold may be increased.

[0058] If the risk coefficient of any node is greater than or equal to the node risk threshold, a network node early warning signal is immediately triggered. Early warning signals include alarm prompts, notifications to maintenance personnel, and automatically generated reports. The form and content of the early warning signal can be customized according to specific needs. For example, if the risk coefficient of node A is 0.82, which is greater than the threshold of 0.75, an early warning signal is generated to remind maintenance personnel that the node may fail. By comparing the node risk coefficient with the risk threshold, potential network failure risks can be identified in advance, reducing the probability of major network failures.

[0059] In summary, the rapid networking control method for satellite communication vehicles based on BeiDou short message service provided in this application has the following beneficial effects:

[0060] When multiple satellite communication vehicles receive a network deployment request command, the system obtains broadcast information from each vehicle using the BeiDou short message communication module. Based on this broadcast information, it optimizes the network access topology to generate a network topology model. Then, it performs hierarchical node control analysis based on the network topology model to generate a network communication network. The system performs real-time sensing of the network communication network to obtain a network sensing dataset. Finally, it optimizes the network communication network for anomaly self-recovery based on the network sensing dataset. In other words, by utilizing the short message communication capability of the BeiDou satellite, a communication network composed of multiple satellite communication vehicles can be rapidly constructed in emergency communication scenarios, achieving collaborative control and efficient data transmission between nodes. In extreme scenarios without terrestrial communication support, a self-organizing, self-managing, and self-recovering communication system is achieved relying on BeiDou short messages.

[0061] Example 2: Based on the same inventive concept as the rapid networking control method for satellite communication vehicles based on BeiDou short messages in Example 1, this application also provides a rapid networking control system for satellite communication vehicles based on BeiDou short messages. Please refer to the appendix. Figure 2 The rapid networking control system for satellite communication vehicles based on BeiDou short message service includes:

[0062] The instruction receiving unit 11 is used to obtain the broadcast information of each communication vehicle according to the Beidou short message communication module when multiple satellite communication vehicles receive a networking request instruction; the topology optimization unit 12 is used to perform networking access topology optimization according to the broadcast information of each communication vehicle and generate a networking topology model; the node control parsing unit 13 is used to perform hierarchical node control parsing according to the networking topology model and generate a networking communication network; the real-time sensing unit 14 is used to perform real-time sensing of the networking communication network and obtain a networking sensing dataset; the anomaly self-recovery unit 15 is used to perform anomaly self-recovery optimization of the networking communication network according to the networking sensing dataset.

[0063] Furthermore, the instruction receiving unit 11 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0064] The BeiDou short message communication module is generated based on the multiple BeiDou short message communication terminals of the multiple satellite communication vehicles.

[0065] Furthermore, the instruction receiving unit 11 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0066] A multi-dimensional broadcast indicator is obtained, which includes identity features, geographical location features, and current communication features; data is read from the BeiDou short message communication module based on the multi-dimensional broadcast indicator to obtain multiple broadcast datasets; the multiple broadcast datasets are cleaned to generate broadcast information for each communication vehicle.

[0067] Furthermore, the topology optimization unit 12 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0068] Based on the broadcast information from each communication vehicle, network access is performed to obtain a first network access topology model; based on the first network access topology model, link hop count minimization correction is performed to generate a second network access topology model; based on the second network access topology model, communication node load balancing optimization is performed to obtain the network topology model.

[0069] Furthermore, the node control parsing unit 13 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0070] Obtain hierarchical node factors, including master control nodes, relay nodes, and terminal nodes; assign hierarchical node roles to the network topology model according to the hierarchical node factors to obtain network role allocation results; perform adaptive control on the network topology model according to the network role allocation results to obtain the network communication network.

[0071] Furthermore, the anomaly self-recovery unit 15 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0072] Anomaly detection is performed based on the network awareness dataset to obtain anomaly detection results for each node; risk prediction is performed based on the anomaly detection results for each node to obtain risk coefficients for each node; a network maintenance priority sequence is generated based on the risk coefficients for each node, and network anomaly recovery management is performed in conjunction with the anomaly detection results for each node.

[0073] Furthermore, the anomaly self-recovery unit 15 in the BeiDou short message-based satellite communication vehicle rapid networking control system is also used for:

[0074] If any node risk coefficient is greater than or equal to the node risk threshold, a network node early warning signal is generated.

[0075] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The rapid networking control method and specific examples of satellite communication vehicles based on BeiDou short messages in Example 1 are also applicable to the rapid networking control system of satellite communication vehicles based on BeiDou short messages in this embodiment. Through the foregoing detailed description of the rapid networking control method of satellite communication vehicles based on BeiDou short messages, those skilled in the art can clearly understand the rapid networking control system of satellite communication vehicles based on BeiDou short messages in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0076] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0077] Obviously, those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. A rapid networking control method for satellite communication vehicles based on BeiDou short message service, characterized in that, include: When multiple satellite communication vehicles receive a network formation request command, they obtain the broadcast information of each communication vehicle according to the Beidou short message communication module; Based on the broadcast information from each communication vehicle, the network access topology is optimized to generate a network topology model; Based on the network topology model, hierarchical node control is analyzed to generate a network communication network. The network communication network is subjected to real-time sensing to obtain a network sensing dataset; Based on the network awareness dataset, perform anomaly self-recovery optimization on the network communication network; Based on the BeiDou short message communication module, broadcast information from each communication vehicle is obtained, including: Obtain multi-dimensional broadcast indicators, which include identity characteristics, geographic location characteristics, and current communication characteristics; The BeiDou short message communication module is used to read data based on the multi-dimensional broadcast indicators to obtain multiple broadcast datasets. Clean the multiple broadcast datasets to generate the broadcast information for each communication vehicle; Based on the network awareness dataset, perform anomaly self-recovery optimization on the network communication network, including: Anomaly detection is performed based on the network awareness dataset to obtain anomaly detection results for each node. Risk prediction is performed based on the anomaly detection results of each node to obtain the risk coefficient of each node; Based on the risk coefficient of each node, a network maintenance priority sequence is generated, and network anomaly recovery management is carried out in combination with the anomaly detection results of each node. If any node risk coefficient among the node risk coefficients is greater than or equal to the node risk threshold, a network node early warning signal is generated. The process of generating a network communication network by performing hierarchical node control parsing based on the network topology model includes: Obtain hierarchical node factors, which include master control nodes, relay nodes, and terminal nodes; Based on the hierarchical node factors, hierarchical node roles are assigned to the network topology model to obtain network role assignment results. The network topology model is adaptively controlled based on the network role allocation results to obtain the network communication network.

2. The rapid networking control method for satellite communication vehicles based on BeiDou short message service as described in claim 1, characterized in that, The BeiDou short message communication module is generated based on the multiple BeiDou short message communication terminals of the multiple satellite communication vehicles.

3. The rapid networking control method for satellite communication vehicles based on BeiDou short message service as described in claim 1, characterized in that, Based on the broadcast information from each communication vehicle, the network access topology is optimized to generate a network topology model, including: Based on the broadcast information from each communication vehicle, network access is performed to obtain the first network access topology model; Based on the first network access topology model, link hop count minimization correction is performed to generate a second network access topology model; Based on the second network access topology model, the communication node load balancing is optimized to obtain the network topology model.

4. A rapid networking control system for satellite communication vehicles based on BeiDou short message service, characterized in that: The steps for implementing the rapid networking control method for satellite communication vehicles based on BeiDou short messages according to any one of claims 1 to 3, wherein the rapid networking control system for satellite communication vehicles based on BeiDou short messages includes: The instruction receiving unit is used to obtain the broadcast information of each communication vehicle according to the Beidou short message communication module when multiple satellite communication vehicles receive networking request instructions; The topology optimization unit is used to optimize the network access topology based on the broadcast information of each communication vehicle and generate a network topology model. The node control parsing unit is used to perform hierarchical node control parsing based on the network topology model to generate a network communication network. The real-time sensing unit is used to sense the network communication network in real time and obtain the network sensing dataset. An anomaly self-recovery unit is used to perform anomaly self-recovery optimization on the network communication network based on the network awareness dataset.

Images