Satellite communication intelligent control method and system for extremely cold environment

Abstract

The application relates to the technical field of satellite communication and discloses a satellite communication intelligent control method and system for an extremely cold environment, which comprises the following steps: acquiring terminal sensing information of a satellite communication terminal in an extremely cold scene, determining a terminal wake-up sequence of the satellite communication terminal, establishing an initial redundant resource pool of the satellite communication terminal, analyzing a characteristic correlation situation in the extremely cold scene, establishing a weighted evaluation network of the extremely cold scene, outputting an optimal target mode and a confidence level score of the extremely cold scene through the weighted evaluation network, determining a link migration instruction of the extremely cold scene, generating a radio frequency switch schedule of the link migration instruction, constructing a seamless switching solution set of the extremely cold scene, determining a protection coefficient of the seamless switching solution set, determining a communication target state of the extremely cold scene, and performing autonomous regulation and control of the extremely cold scene. The application can improve the adaptability of satellite communication to the extremely cold environment.

Description

Technical Field

[0001] This invention relates to intelligent control methods and systems for satellite communication in extremely cold environments, and belongs to the field of satellite communication technology. Background Technology

[0002] Intelligent control of satellite communication for extremely cold environments refers to a technical system that utilizes technologies such as multi-source information fusion, link quality prediction, redundant resource scheduling, and environmental adaptive protection to perform full-link status perception, switching decision generation, and closed-loop control of mobile satellite communication terminals deployed in high-altitude and cold environments. This system aims to ensure communication continuity under extreme low-temperature conditions, reduce the frequency of link interruptions, and improve the efficiency of spectrum resource utilization.

[0003] Traditional satellite communication control methods mainly rely on semi-automatic operation with fixed threshold triggering and manual intervention. For example, antenna switching is triggered by setting a single signal quality threshold (such as a signal-to-noise ratio below a certain fixed value), or operators manually select satellites and frequency bands based on experience. This method cannot comprehensively integrate multiple sensing information to predict link degradation trends in advance, and lacks the ability to quantitatively analyze the combined effects of multi-orbit satellite coverage alternation windows and extreme environments. When facing complex and harsh conditions such as low elevation blind spots of geostationary orbit satellites in high-latitude regions, icing and snow adhesion to antenna radomes due to blizzards, and performance drift of components at extremely low temperatures, problems such as prolonged link interruptions, delayed switching timing, and difficulty in cold starting equipment are likely to occur. It is difficult to meet the rigid requirements for communication continuity and autonomous operation capabilities in scenarios such as polar routes, high-altitude border defense, and polar scientific research. Summary of the Invention

[0004] This invention provides a smart control method and system for satellite communication in extremely cold environments, the main purpose of which is to improve the adaptability of satellite communication to extremely cold environments.

[0005] To achieve the above objectives, the present invention provides a satellite communication intelligent control method for extremely cold environments, comprising: Acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and determine the terminal wake-up order of the satellite communication terminals based on the terminal perception information in order to establish an initial redundant resource pool for the satellite communication terminals. Based on the initial redundant resource pool, the feature correlation in the extreme cold scenario is analyzed, and a weighted evaluation network for the extreme cold scenario is established based on the feature correlation. The weighted evaluation network outputs the optimal target mode and confidence level score for the extreme cold scenario. Based on the optimal target mode, the confidence level score, and the initial redundant resource pool, the link migration command for the extreme cold scenario is determined. Radio frequency switch scheduling that generates the link migration command is used to construct a seamless switching solution set for the extreme cold scenario; Determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scenario in order to perform autonomous control of the extreme cold scenario.

[0006] Optionally, determining the terminal wake-up order of the satellite communication terminals includes: The terminal sensing information is subjected to temperature gradient grading processing to obtain a wake-up priority label; The wake-up priority label is subjected to health status verification to obtain an ordered wake-up sequence; Based on the ordered wake-up sequence, the terminal wake-up order of the satellite communication terminal is determined.

[0007] Optionally, the step of performing temperature gradient grading processing on the terminal sensing information to obtain a wake-up priority label includes: Calculate the module temperature gradient coefficient corresponding to the terminal sensing information; Based on a preset grading threshold, the temperature gradient coefficient of the module is subjected to grading mapping processing to obtain a preliminary wake-up level; The initial wake-up levels are sorted and arranged in ascending order of power consumption to obtain wake-up priority labels.

[0008] Optionally, establishing the initial redundant resource pool for the satellite communication terminal includes: The available hardware units that have passed the health status verification in the terminal sensing information are grouped and registered according to unit type to obtain the available antenna set and the available baseband set. The available antenna set and the available baseband set are subjected to a fully connected cross-mapping process to obtain an initial redundancy resource matrix, thereby establishing the initial redundancy resource pool of the satellite communication terminal.

[0009] Optionally, the step of analyzing feature correlations in the extreme cold scenario based on the initial redundant resource pool includes: Based on the initial redundant resource pool, a set of alternative switching options for the extreme cold scenario is established; Perform link quality prediction processing on each candidate link in the switching candidate set to obtain the link quality index and remaining available time for each candidate link; Extract the environmental and link-side features from the switching candidate set; Based on the link quality indicators and the remaining available time, cross-dimensional correlation analysis is performed on the environmental features and the link features to obtain the feature correlation situation of the extreme cold scenario.

[0010] Optionally, establishing a weighted evaluation network for the extreme cold scenario based on the feature association includes: The feature association scenarios are modeled to obtain a feature association network. Based on the feature association network, the candidate links in the extreme cold scenario are subjected to multi-attribute weighted fusion processing to obtain the link weighted evaluation matrix; Based on the link weighted evaluation matrix, a weighted evaluation network for the extreme cold scenario is established.

[0011] Optionally, determining the link migration instruction for the extreme cold scenario based on the optimal target mode, the confidence level score, and the initial redundant resource pool includes: The optimal target mode and the confidence level score are subjected to decision verification processing to obtain an executable target mode; The executable target mode is mapped to the initial redundant resource pool using radio frequency path mapping to obtain the target link establishment instruction; Based on the target link establishment instruction, a link migration instruction for the extreme cold scenario is generated.

[0012] Optionally, the radio frequency switch scheduling for generating the link migration command includes: Extract the target antenna identifier and target baseband identifier from the link migration instruction to generate a first scheduling instruction set for the link migration instruction. The first scheduling instruction set is used to establish a target radio frequency path while maintaining the connectivity of the original radio frequency path corresponding to the link migration instruction. Based on the first scheduling instruction set, a second scheduling instruction set is generated for initiating parallel dual-path transmission of the original radio frequency path and the target radio frequency path. Based on the second scheduling instruction set, a third scheduling instruction set is generated for releasing the channel resources corresponding to the original radio frequency channel; By combining the first scheduling instruction set, the second scheduling instruction set, and the third scheduling instruction set, the radio frequency switch scheduling of the link migration instruction is generated.

[0013] Optionally, constructing a seamless switching solution set for the extreme cold scenario based on the radio frequency switch scheduling includes: After the RF switch scheduling is executed, each link is stabilized to obtain the link ready state. Based on the link ready state, the release status confirmation process is performed on each link after the RF switch scheduling is executed to obtain the release completion state. By combining the link ready state and the release completed state, a seamless switching solution set for the extreme cold scenario is constructed.

[0014] To address the above problems, the present invention also provides a satellite communication intelligent control system for extremely cold environments, the system comprising: The resource pool construction module is used to acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and based on the terminal perception information, determine the terminal wake-up order of the satellite communication terminals in order to establish an initial redundant resource pool for the satellite communication terminals. The weighted evaluation network establishment module is used to analyze the feature correlation in the extreme cold scenario based on the initial redundant resource pool, and establish the weighted evaluation network for the extreme cold scenario based on the feature correlation. The link migration instruction determination module is used to output the optimal target mode and confidence level score of the extreme cold scenario through the weighted evaluation network, and determine the link migration instruction of the extreme cold scenario based on the optimal target mode, the confidence level score and the initial redundant resource pool. A seamless handover solution set construction module is used to generate the radio frequency switch scheduling of the link migration instruction in order to construct the seamless handover solution set for the extreme cold scenario; The scene management and processing module is used to determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scene in order to perform autonomous control of the extreme cold scene.

[0015] Compared to the problems described in the background art, this invention, by acquiring terminal perception information in extremely cold scenarios during the power-on startup phase of the satellite communication terminal, and determining the hierarchical wake-up order of each functional module of the terminal based on the terminal perception information, can ensure the safe startup of the core components of the terminal in extremely low temperature environments. Secondly, by analyzing the feature correlations in the extremely cold scenario based on the initial redundant resource pool, this invention can understand the key coupling characteristics of each state parameter in the extremely cold scenario to the communication link. Finally, this invention determines the link migration instructions in the extremely cold scenario based on the optimal target mode, the confidence level score, and the initial redundant resource pool, enabling the handover decision-making and execution scheduling to be completed locally on the terminal. This invention achieves a closed-loop, adaptive, seamless handover without relying on manual intervention from the central station, eliminating the need for frequent reporting to the core network to protect vulnerable backhaul link resources in extreme environments. By generating the link migration command through radio frequency switch scheduling, this invention obtains the actual connectivity status of each candidate link after the radio frequency switch matrix reconstruction and synchronously updates the redundant resource catalog, providing a basis for the subsequent construction of the seamless handover solution set. Finally, by determining the protection coefficient of the seamless handover solution set, this invention can immediately assess the combined thermal load of the current antenna pointing mechanism continuously tracking the satellite and the electric heating temperature control of the radome area after the link handover is completed, thereby achieving a dynamic balance between communication quality assurance and energy consumption for extreme cold protection. Therefore, this invention can improve the adaptability of satellite communication to extremely cold environments. Attached Figure Description

[0016] Figure 1 A flowchart illustrating a satellite communication intelligent control method for extremely cold environments provided in an embodiment of the present invention; Figure 2 The flowchart illustrates the autonomous control process of an intelligent control method for satellite communication in extremely cold environments, as provided in an embodiment of the present invention. Figure 3 A functional block diagram of a satellite communication intelligent control method for extremely cold environments provided in an embodiment of the present invention; Figure 4 A schematic diagram of a computer device for a satellite communication intelligent control method for extremely cold environments provided in an embodiment of the present invention; The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] This application provides a satellite communication intelligent control method for extremely cold environments. The executing entity of this intelligent control method for extremely cold environments includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the intelligent control method for extremely cold environments can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0019] Reference Figure 1 The diagram shown is a flowchart illustrating a satellite communication intelligent control method for extremely cold environments according to an embodiment of the present invention. In this embodiment, the satellite communication intelligent control method for extremely cold environments includes: S1. Obtain terminal perception information of satellite communication terminals in extremely cold scenarios, and determine the terminal wake-up order of satellite communication terminals based on the terminal perception information, so as to establish an initial redundant resource pool for satellite communication terminals.

[0020] This invention acquires terminal perception information in extremely cold environments during the power-on startup phase of a satellite communication terminal, and determines the hierarchical wake-up order of each functional module of the terminal based on the terminal perception information, thereby ensuring the safe startup of the core components of the terminal in extreme low-temperature environments.

[0021] It should be explained that the extremely cold scenario refers to high-altitude and cold-weather operating areas with ambient temperatures below -30℃, including deployment scenarios such as the Arctic shipping route, polar research stations, high-altitude border outposts, and high-altitude resource exploration areas. The satellite communication terminal is a mobile satellite communication device deployed in the above-mentioned extremely cold scenario, equipped with a multi-antenna, multi-baseband redundant architecture and integrated hardware adapted to extremely cold environments. The terminal sensing information is multi-dimensional terminal status description information collected by the built-in sensor array during the terminal power-on self-test process. Specifically, it includes real-time temperature of each functional module, pointing mechanism resistance and RF link self-loop detection results of the antenna unit, processor self-test and memory verification results of the baseband unit, battery charge status and discharge capacity of the power module, and ice and snow adhesion status on the antenna radome surface, etc., which are internal terminal sensing parameters. The terminal wake-up order is a graded and orderly power-on sequence generated according to the temperature gradient and health status of each module in the terminal sensing information and the safety start-up constraints.

[0022] Specifically, determining the terminal wake-up order of the satellite communication terminal includes: The terminal sensing information is subjected to temperature gradient grading processing to obtain a wake-up priority label; The wake-up priority label is subjected to health status verification to obtain an ordered wake-up sequence; Based on the ordered wake-up sequence, the terminal wake-up order of the satellite communication terminal is determined.

[0023] The wake-up priority label is a wake-up urgency identifier assigned to each module based on a comparison between the real-time temperature of each functional module and a preset temperature grading threshold. It includes three priority levels: "Emergency Warm-up Level," "Sequential Warm-up Level," and "Room Temperature Ready Level." The ordered wake-up sequence is a deterministic power-on order arranged by sorting modules that have passed the health status check from high to low according to their wake-up priority labels, and within the same priority level, by using an increasing power consumption strategy. It should be explained that the temperature grading threshold is a preset temperature range boundary value based on the operating temperature characteristics of the terminal device. For example, a module temperature below -40℃ is marked as Emergency Warm-up Level, between -40℃ and -15℃ as Sequential Warm-up Level, and above -15℃ as Room Temperature Ready Level. The health status check is a pass / fail determination result after each module performs a built-in self-test.

[0024] Furthermore, the terminal's built-in main control processor can start the sensor sampling bus in low-power mode during the initial power-on phase, and sequentially read the collected data from the temperature sensor, current sensor, standing wave detector, and icing detector distributed in each antenna unit, baseband unit, power supply unit, and radome according to a preset polling cycle. After AD conversion and digital filtering, the data is used to generate the structured sensing data frame of the terminal's sensing information.

[0025] Furthermore, the health status verification process based on the module wake-up priority tags to obtain an ordered wake-up sequence includes: traversing all functional modules in the terminal perception information, removing faulty modules with health scores lower than a preset health threshold (default 0.6), removing them from the current startup sequence and marking them as pending maintenance; for modules that pass the health verification, arranging them in descending order according to the module wake-up priority tags, with emergency preheating level modules taking priority over sequential preheating level modules, and sequential preheating level modules taking priority over normal temperature ready level modules; within the same wake-up priority, arranging the power-on sequence in ascending order of the estimated startup power consumption of the modules to reduce the risk of power surge impact at the moment of power-on.

[0026] Furthermore, the terminal's built-in power management unit can sequentially perform graded power-up on each module according to the ordered wake-up sequence: For emergency preheating modules, the electric heating film or PTC heater is first activated at 30% of the rated power for preheating. Once the module's temperature rises above the sequential preheating threshold, it enters full-power operation mode; for sequential preheating modules, they are activated at 60% of the rated power, and the temperature recovery curve is monitored; for room-temperature ready modules, the normal power-up process is directly executed at full power. During the preheating process, if the battery charge state is detected to be lower than the preset safety threshold, the preheating power of non-core modules is automatically reduced to 0 and delayed until the battery charge is restored before rescheduling.

[0027] Furthermore, as an optional embodiment of the present invention, the step of performing temperature gradient grading processing on the terminal sensing information to obtain a wake-up priority tag includes: Calculate the module temperature gradient coefficient corresponding to the terminal sensing information; Based on a preset grading threshold, the temperature gradient coefficient of the module is subjected to grading mapping processing to obtain a preliminary wake-up level; The initial wake-up levels are sorted and arranged in ascending order of power consumption to obtain wake-up priority labels.

[0028] The module temperature gradient coefficient is a quantitative value of wake-up urgency calculated by combining the degree of deviation of the real-time temperature of each functional module from the safe operating temperature range and the module temperature change rate. The preliminary wake-up level is a coarse-grained wake-up level assigned to each module after comparing the module temperature gradient coefficient with the preset upper and lower thresholds. It includes three levels: emergency preheating level, sequential preheating level, and normal temperature ready level.

[0029] Furthermore, based on preset grading thresholds, modules with a temperature gradient coefficient greater than or equal to the upper threshold of 0.7 are mapped to the emergency preheating level, modules between the upper and lower thresholds are mapped to the sequential preheating level, and modules less than the lower threshold of 0.3 are mapped to the room temperature ready level, thus obtaining the initial wake-up level. Within the same initial wake-up level, each module is sorted in ascending order of its estimated startup power consumption. During the sorting process, it is verified whether the remaining charge state of the terminal power module is lower than the safety threshold of 20%. Modules with insufficient charge are marked as suspended. The initial wake-up levels are then sorted and arranged in ascending order of power consumption to obtain wake-up priority tags.

[0030] Furthermore, as an optional embodiment of the present invention, calculating the module temperature gradient coefficient corresponding to the terminal sensing information includes: ; in, This represents the module temperature gradient coefficient of the functional module corresponding to the terminal's perceived information; gT is the temperature deviation factor; gV is the cooling rate factor; kT is the temperature term sensitivity adjustment parameter; and kV is the cooling rate term sensitivity adjustment parameter. is the fusion weighting coefficient for the temperature deviation term and the cooling rate term, arctan is the arctangent function, and π is the constant of pi.

[0031] Wherein, the temperature deviation factor represents the normalized deviation of the module's real-time temperature from the safe operating temperature range; the cooling rate factor represents the severity of the temperature drop of the module within the current sampling period; the temperature term sensitivity adjustment parameter represents the steepness of the response of the arctangent mapping function to temperature deviation, which is experimentally determined based on the temperature-performance degradation curve of the selected components in the terminal, and is set to 3.0 by default; the cooling rate term sensitivity adjustment parameter represents the sensitivity of the negative exponential mapping function to the cooling rate, which is experimentally calibrated based on the heat capacity and heat dissipation characteristics of the terminal's insulation layer, and is set to 2.0 by default; the fusion weight coefficient represents the contribution ratio of the temperature deviation term and the cooling rate term in the comprehensive evaluation of wake-up urgency, and is set based on the engineering experience that the contribution of the absolute value of temperature to device damage is greater than that of the cooling rate at extreme low temperatures, and is set to 0.6 by default.

[0032] Furthermore, the temperature deviation factor is defined as gT=max(0,(Tth-Ti) / (Tth-Tref)), where Ti represents the real-time temperature acquisition value of the module (in °C), Tth represents the nominal minimum safe operating temperature of the module (default is -55 °C), and Tref is the normal temperature reference temperature (default is 25 °C). The cooling rate factor is normalized by dividing the absolute value of the difference between two adjacent temperature sampling values ​​by the maximum safe cooling rate threshold and then substituted into gV=max(0,|dTi / dt| / Vmax), where dTi / dt is the real-time temperature change rate of the module within the sampling period (in °C / min), and Vmax is the preset maximum safe cooling rate threshold (default is 5 °C / min).

[0033] By establishing an initial redundant resource pool for the satellite communication terminal, the invention provides a unified data benchmark for the intelligent handover decision module's multi-attribute weighted evaluation, seamless handover execution, and failure rollback without increasing hardware costs. It should be explained that the initial redundant resource pool is a locally schedulable resource view for the terminal, constructed based on the terminal wake-up order, with available hardware units as the granularity, and defined through a combination of multi-dimensional health status and resource attributes.

[0034] Specifically, establishing the initial redundant resource pool for the satellite communication terminal includes: The available hardware units that have passed the health status verification in the terminal sensing information are grouped and registered according to unit type to obtain the available antenna set and the available baseband set. The available antenna set and the available baseband set are subjected to a fully connected cross-mapping process to obtain an initial redundancy resource matrix, thereby establishing the initial redundancy resource pool of the satellite communication terminal.

[0035] The unit type grouping registration is based on two hardware functional roles: antenna units and baseband units. Antenna units whose power-on self-test health scores reach a preset health threshold (0.6 by default) are assigned to the available antenna set, and baseband units that meet the health standards are assigned to the available baseband set. Each unit in each group is registered with a unique hardware identifier and associated with its corresponding health score, supported frequency band list, and current temperature status. The full-connection cross-mapping processing involves cross-combining N' antenna units in the available antenna set with M' baseband units in the available baseband set according to the arbitrary interconnection capability of the RF switch matrix, generating a Boolean connection matrix of size M'×N'. Each valid connection element in the matrix is ​​further associated with the paired comprehensive health score of the antenna unit and the baseband unit. The paired comprehensive health score is the product of the antenna health score and the baseband health score in the connection pair.

[0036] Furthermore, the resource descriptor instantiation and initialization sorting of the initial redundant resource matrix can be performed through the resource pool manager in the terminal main control processor: traversing all valid connection elements in the initial redundant resource matrix, creating a resource descriptor for each element, each resource descriptor carrying at least the resource pair identifier, antenna unit health score, baseband unit health score, paired comprehensive health score, antenna current pointing status, antenna supported frequency band type, baseband supported protocol stack type, and the current temperature status label of the resource pair; all resource descriptors are sorted in descending order by paired comprehensive health score and written to the local resource status table, and... The hardware identifiers of antenna units and baseband units that fail to meet health scores or have abnormal self-tests are recorded in the antenna blacklist and baseband blacklist, respectively. Entries of faulty antenna units with severe ice and snow adhesion or excessive pointing mechanism resistance are simultaneously pushed to the extreme cold protection module, triggering snow removal and de-icing of the radome or heating intervention of the pointing mechanism. After intervention, the health test is re-executed for the antenna unit, and a decision is made on whether to restore it from the blacklist to the available antenna set. Finally, an initialization completion snapshot of the initial redundant resource pool is generated for the subsequent intelligent switching decision module to query and dynamically update in real time during the candidate set construction and switching execution phases.

[0037] S2. Based on the initial redundant resource pool, analyze the feature association in the extreme cold scenario, and based on the feature association, establish a weighted evaluation network for the extreme cold scenario.

[0038] This invention analyzes the characteristic correlation in the extreme cold scenario based on the initial redundant resource pool. This allows us to understand the key coupling characteristics of various state parameters in the extreme cold scenario to the communication link. It should be explained that the characteristic correlation refers to the cross-dimensional coupling and linkage relationship between multiple environmental factors—including snowfall intensity, radome ice and snow adhesion level, ambient temperature and terminal movement speed—and the link state factors of each candidate link—including satellite elevation angle change rate, signal quality attenuation trend, remaining coverage duration and estimated available bandwidth of the link—and the cross-influence of these factors on the link switching decision.

[0039] In detail, the analysis of feature correlation in the extreme cold scenario based on the initial redundant resource pool includes: Based on the initial redundant resource pool, a set of alternative switching options for the extreme cold scenario is established; Perform link quality prediction processing on each candidate link in the switching candidate set to obtain the link quality index and remaining available time for each candidate link; Extract the environmental and link-side features from the switching candidate set; Based on the link quality indicators and the remaining available time, cross-dimensional correlation analysis is performed on the environmental features and the link features to obtain the feature correlation situation of the extreme cold scenario.

[0040] The switching candidate set is a complete set of candidate links formed by using the currently available antenna units and available baseband units in the initial redundant resource pool as hardware constraints, combining the available frequency bands supported by each antenna and the set of currently visible satellites calculated based on pre-stored ephemeris and the terminal's geographical location, and eliminating combinations that do not meet the current service QoS baseline requirements; the link quality index is the predicted signal-to-noise ratio equivalent value of each candidate link within a future preset prediction window, output after comprehensively considering the satellite elevation angle change trend calculated by ephemeris, the current signal quality acquisition value, and the snowfall intensity attenuation model prediction value; the remaining available time is the maximum time window for each candidate link to maintain effective communication, calculated based on the satellite elevation angle descent rate and the minimum available elevation angle threshold for the corresponding orbit type; the environmental characteristics are a set of state parameters associated with each candidate link in the switching candidate set and originating from the extreme cold environment outside the terminal, including snowfall intensity, radome ice and snow adhesion level, etc. The four factors are ambient temperature and terminal movement speed; the link-side features are a set of state parameters reflecting the communication quality and coverage characteristics of each candidate link in the handover candidate set, including the satellite elevation angle change rate, signal quality attenuation rate, remaining available time, and estimated available bandwidth of the link; the cross-dimensional correlation analysis processing uses a preset correlation analysis method to perform cross-domain pairwise coupling strength quantification calculation on the environmental-side features and the link-side features, and outputs feature correlation cases reflecting the cross-dimensional linkage relationship between environmental factors and link state factors and the cross-influence law of the linkage relationship on handover decisions. The preset correlation analysis method uses Pearson correlation coefficient or mutual information to quantify the pairwise coupling strength of environmental-side features and link-side features, and introduces attention mechanism or manually sets weights to enhance key coupling feature pairs, so as to identify the calculation method of cross-dimensional correlation combinations that have the greatest impact on handover decisions, such as "elevation angle descent rate and snow attenuation trend".

[0041] Furthermore, based on the initial redundant resource pool, the terminal main control processor extracts currently available antenna units and baseband units from the initial redundant resource pool, and enumerates the three-dimensional combination of antenna-frequency band-visible satellites by combining the pre-stored ephemeris and the terminal's geographical location. Candidate options that do not meet the QoS baseline or have abnormal hardware health status are eliminated, and a handover candidate set for the extreme cold scenario is established. Real-time signal quality, satellite elevation angle, terminal motion attitude, and pre-stored ephemeris and other multi-dimensional status information of each candidate link are collected. Based on the current status and pre-stored ephemeris, a preset link quality prediction method—selected from at least one of time series prediction, Kalman filtering, neural network prediction, or ephemeris calculation—is called to predict the signal quality and elevation angle change trend of each candidate link in the next 30 to 60 seconds. Link quality prediction processing is performed on each candidate link in the handover candidate set to obtain the link quality index and remaining available time of each candidate link. From the state feature vector associated with the switching candidate set, classify by source domain and extract environmental features such as snowfall intensity, snow and ice adhesion level, and ambient temperature, as well as link-side features such as elevation angle change rate and signal attenuation rate. Extract environmental and link-side features from the switching candidate set. Based on the link quality index and the remaining available time, use a preset feature association analysis method—selected from at least one of attention mechanism, correlation coefficient, or manually set weights—to analyze the correlation and weight between each feature, identify the key cross-dimensional association combination that has the greatest impact on the current switching decision (such as the coupling of "elevation angle descent rate" and "snow attenuation trend"), and perform cross-dimensional association analysis on the environmental and link-side features to obtain the feature association situation of the extreme cold scenario.

[0042] This invention establishes a weighted evaluation network for the extreme cold scenario based on the aforementioned feature association scenarios. This network can obtain a comprehensive score ranking of each candidate link and a recommendation for the optimal target modality, providing a basis for subsequent processing. It should be explained that the weighted evaluation network uses the cross-dimensional coupling strength output by the aforementioned feature association scenarios as the basis for weight allocation. It dynamically connects the predicted signal quality, link stability, handover prediction overhead, target resource health, and service QoS matching degree as evaluation nodes. This network is used to perform weighted evaluation of each candidate link in the handover candidate set and output a terminal local evaluation structure for the optimal target modality.

[0043] Specifically, establishing a weighted evaluation network for the extreme cold scenario based on the aforementioned feature association includes: The feature association scenarios are modeled to obtain a feature association network. Based on the feature association network, the candidate links in the extreme cold scenario are subjected to multi-attribute weighted fusion processing to obtain the link weighted evaluation matrix; Based on the link weighted evaluation matrix, a weighted evaluation network for the extreme cold scenario is established.

[0044] The feature association network is a weighted graph structure consisting of multidimensional state features as nodes and the association strength between features as edge weights. The link weighted evaluation matrix is ​​a quantized matrix formed by weighting the association weights extracted from the feature association network with the attribute vectors of each candidate link element by element and arranging them according to the candidate link rows and the evaluation attribute columns.

[0045] Furthermore, feature association modeling is performed on the feature association scenario using attention mechanisms or multivariate correlation analysis methods to obtain a feature association network. By multiplying the association weight vector output by the feature association network element-wise with the attribute vector of each candidate link and normalizing the result, multi-attribute weighted fusion processing is performed on the candidate links of the extreme cold scenario to obtain a link weighted evaluation matrix. By using the evaluation vectors of each row of the link weighted evaluation matrix as the weight basis, aggregating them row by row according to the candidate links to obtain a comprehensive evaluation score, and taking the target modality corresponding to the highest score as the final output of the network, a weighted evaluation network for the extreme cold scenario is established.

[0046] S3. Through the weighted evaluation network, output the optimal target mode and confidence level score of the extreme cold scenario, and determine the link migration instruction of the extreme cold scenario based on the optimal target mode, the confidence level score and the initial redundant resource pool.

[0047] This invention determines the link migration command for the extreme cold scenario based on the optimal target mode, the confidence level score, and the initial redundant resource pool. It can complete the closed loop of handover decision-making and execution scheduling locally on the terminal, achieving adaptive seamless handover without relying on manual intervention from the central station. It eliminates the need for frequent reporting to the core network to protect the weak backhaul link resources in polar regions. It should be noted that the optimal target mode is the highest-scoring target mode configuration output by the intelligent handover decision module based on a weighted evaluation network, including the target antenna identifier, target frequency band, target satellite identifier, and recommended handover method, such as hard handover / soft handover / no handover. The process involves several steps: First, the decision-making method outputs the optimal target mode, reflecting the reliability of the decision. Second, the decision-making method provides a confidence level score that reflects the reliability of the decision. Third, the decision-making method provides a set of hardware control commands generated by the terminal main control processor based on the executable target mode and available units in the redundancy pool. These commands include the establishment of RF switch matrix paths, dual-cast startup, service flow migration, and the release timing of the original link. Fourth, the terminal main control processor calls the local query interface provided by the weighted evaluation network to perform mode extraction based on the current service QoS and the initial redundancy resource pool status, outputting the optimal target mode and the confidence level score.

[0048] Specifically, determining the link migration command for the extreme cold scenario based on the optimal target mode, the confidence level score, and the initial redundant resource pool includes: The optimal target mode and the confidence level score are subjected to decision verification processing to obtain an executable target mode; The executable target mode is mapped to the initial redundant resource pool using radio frequency path mapping to obtain the target link establishment instruction; Based on the target link establishment instruction, a link migration instruction for the extreme cold scenario is generated.

[0049] The decision verification process is a process of determining whether the optimal target mode is executable when the confidence level score is not lower than a preset threshold, and maintaining the current link and shortening the next decision triggering cycle when it is lower than the threshold. The executable target mode is a verified configuration that explicitly includes the target antenna identifier, target frequency band, target satellite identifier, and recommended switching method. The radio frequency path mapping process is an operation that maps the antenna and baseband identifier in the executable target mode to the fully connected port of the radio frequency switch matrix to generate a physical path establishment instruction. The target link establishment instruction is a hardware control command that drives the radio frequency switch matrix to establish the target link first, while maintaining the original link transmission. The link migration instruction is a complete execution sequence that includes the target link establishment, dual-cast startup, service flow migration, and original link release timing. If an execution error occurs, it immediately falls back to the original link.

[0050] Furthermore, the optimal target mode and the confidence level score can be compared with a preset threshold to perform decision verification. If the score is greater than or equal to the preset threshold, it is confirmed as an executable target mode and issued. If the score is less than the preset threshold, the current link remains unchanged and the decision cycle is shortened to 5 seconds. The executable target mode can be mapped to an antenna-baseband connection path by using a RF switch matrix port lookup table method to generate a target link establishment command. The link migration command sequence can be constructed by arranging the dual-cast startup, service flow migration, and original link release in a "build first, then disconnect" sequence, with command type as the row and execution sequence as the column.

[0051] S4. Generate the radio frequency switch scheduling of the link migration instruction to construct a seamless switching solution set for the extreme cold scenario.

[0052] This invention, through the RF switch scheduling that generates the link migration instructions, can obtain the actual connectivity status of each candidate link after the RF switch matrix reconstruction and the synchronously updated redundant resource catalog, providing a basis for the subsequent seamless handover solution set construction. It should be explained that the RF switch scheduling refers to the hardware action sequence in which the terminal main control processor controls the RF switch matrix to complete the establishment, maintenance and release of the path between any baseband unit and any antenna unit according to the timing in the link migration instructions.

[0053] Specifically, the radio frequency switch scheduling for generating the link migration command includes: Extract the target antenna identifier and target baseband identifier from the link migration instruction to generate a first scheduling instruction set for the link migration instruction. The first scheduling instruction set is used to establish a target radio frequency path while maintaining the connectivity of the original radio frequency path corresponding to the link migration instruction. Based on the first scheduling instruction set, a second scheduling instruction set is generated for initiating parallel dual-path transmission of the original radio frequency path and the target radio frequency path. Based on the second scheduling instruction set, a third scheduling instruction set is generated for releasing the channel resources corresponding to the original radio frequency channel; By combining the first scheduling instruction set, the second scheduling instruction set, and the third scheduling instruction set, the radio frequency switch scheduling of the link migration instruction is generated.

[0054] Wherein, the target antenna identifier is the hardware number or logical identifier of the target antenna unit specified in the link migration instruction, used to carry the service data after the handover; the target baseband identifier is the hardware number or logical identifier of the target baseband unit specified in the link migration instruction, used to drive the target antenna unit; the original RF path is the current RF transmission path between the original antenna unit carrying the service data and the original baseband unit, connected via the RF switch matrix; the target RF path is the RF transmission path to be newly established between the target antenna unit and the target baseband unit via the RF switch matrix; the first scheduling instruction set controls the RF switch matrix in the original The first set of scheduling instructions is a hardware action sequence that switches the internal crossover point to establish the target radio frequency path and complete the target satellite synchronous registration while the radio frequency path remains connected. The second set of scheduling instructions is a hardware action sequence that controls the radio frequency switch matrix to maintain the dual-path connectivity of the original radio frequency path and the target radio frequency path, which is used to support the dual-cast operation of transmitting copy data in parallel through the target radio frequency path while the original radio frequency path continues to transmit service data. The third set of scheduling instructions is a hardware release action sequence that controls the radio frequency switch matrix to disconnect the corresponding crossover point of the original radio frequency path and write the released port resources back to the redundant resource pool status table after confirming that the target radio frequency path transmission is stable.

[0055] Furthermore, the terminal main control processor receives the optimal target mode configuration, including the target antenna identifier, target frequency band, target satellite identifier, and recommended switching method. After parsing, it extracts the target antenna identifier and target baseband identifier from the link migration instruction to generate a first scheduling instruction set for the link migration instruction. After the target radio frequency path is established and the target satellite is synchronously registered, the terminal main control processor controls the radio frequency switch matrix to enter a dual-cast state. Based on the first scheduling instruction set, it generates a second scheduling instruction set for initiating parallel transmission of the original radio frequency path and the target radio frequency path. After confirming that the bit error rate of the target radio frequency path is lower than a preset stability threshold, the terminal main control processor migrates the service flow from the original radio frequency path to the target radio frequency path using packet sequence number mapping or MPTCP. Based on the second scheduling instruction set, it generates a third scheduling instruction set for releasing the corresponding path resources of the original radio frequency path. The first scheduling instruction set, the second scheduling instruction set, and the third scheduling instruction set are combined in sequence to generate the radio frequency switch scheduling for the link migration instruction.

[0056] This invention constructs a seamless switching solution set for the extreme cold scenario, which can obtain a set of redundant communication links that are currently actually available to the terminal and have been verified by dual-cast after being built and then disconnected, along with a synchronously updated resource catalog. This provides a guarantee for continuous service transmission in extreme cold environments. It should be explained that the seamless switching solution set is a set of locally available links for the terminal formed after performing radio frequency switch matrix scheduling. It includes the ready state of new links, the released state of original links, and the updated redundant resource catalog.

[0057] Specifically, the construction of the seamless switching solution set for the extreme cold scenario based on the radio frequency switch scheduling includes: After the RF switch scheduling is executed, each link is stabilized to obtain the link ready state. Based on the link ready state, the release status confirmation process is performed on each link after the RF switch scheduling is executed to obtain the release completion state. By combining the link ready state and the release completed state, a seamless switching solution set for the extreme cold scenario is constructed.

[0058] The link stability confirmation process is an operation that verifies the stability of the transmission quality of the target radio frequency path after the radio frequency switch scheduling is executed. This includes confirming that the bit error rate of the new link is lower than a preset stability threshold and that the service flow has completed the migration from the original radio frequency path to the target radio frequency path. The link ready state is a ready indication generated after the link stability confirmation process passes, indicating that the target radio frequency path has the ability to continuously carry the current service. The release state confirmation process is an operation that verifies the disconnected state of the cross-point of the corresponding radio frequency switch matrix and the schedulable state of the port of the original radio frequency path based on the link ready state. The release completion state is a completion indication generated after the release state confirmation process passes, indicating that the original radio frequency path has been completely released and the corresponding hardware resources can be rescheduled.

[0059] Furthermore, after the RF switch scheduling is completed, the terminal main control processor collects the bit error rate of the target RF path and compares it with the preset stability threshold. If the bit error rate is lower than the preset stability threshold and the service flow has been migrated from the original RF path to the target RF path using packet sequence number mapping or MPTCP, the link stability is confirmed and a link ready state is generated. Stability confirmation processing is performed on each link after the RF switch scheduling is executed. After the link ready state is generated, the terminal main control processor verifies that the cross point corresponding to the original RF path in the RF switch matrix has been disconnected and the corresponding port has been restored to the schedulable state. If the verification is successful, a release completion state is generated. Based on the link ready state, the release status confirmation processing is performed on the original RF path after the RF switch scheduling is executed. If any step in the link stability confirmation processing or the release status confirmation processing fails, a failure rollback is triggered, the original RF path is kept connected and the temporary resource configuration is cleared. Combining the link ready state and the release completion state, a seamless handover solution set is constructed to represent that a complete seamless handover in the extreme cold scenario has been successfully executed and resources have been recovered.

[0060] S5. Determine the protection coefficient of the seamless switching solution set, and determine the communication target state of the extreme cold scenario based on the protection coefficient, so as to perform autonomous control of the extreme cold scenario.

[0061] By determining the protection coefficient of the seamless switching solution set, this invention can assess the combined thermal load of the current antenna pointing mechanism continuously tracking the satellite and the electric heating temperature control of the radome area immediately after the link switching is completed, thereby achieving a dynamic balance between communication quality assurance and extreme cold protection energy consumption.

[0062] It should be explained that the protection coefficient is a comprehensive score obtained by weighting the antenna pointing load and the temperature control load according to a preset fusion weight, and is used to evaluate the urgency of the demand for extreme cold protection resources in the seamless switching solution set.

[0063] Specifically, determining the protection coefficient of the seamless switching solution set includes: Based on the seamless switching solution set, the pointing load simulation processing is performed on the currently activated target antenna unit in the extreme cold scenario to obtain the antenna pointing load value; Temperature control load simulation processing is performed on the radome area corresponding to the target antenna element to obtain the temperature control load value; The protection coefficient of the seamless switching solution set is calculated by combining the antenna pointing load value and the temperature control load value.

[0064] The pointing load simulation processing involves using the antenna type and pointing mechanism type corresponding to the target antenna identifier in the seamless switching solution set, combined with the current target satellite's elevation angle change rate and terminal motion attitude parameters, to input a preset servo motor power model for simulation calculation. The output is an antenna pointing load value representing the pointing power consumption and mechanical loss per unit time. The preset servo motor power model is a torque superposition model using the product of the antenna's moment of inertia and angular acceleration as the inertial torque term, the Coulomb friction torque converted from the low-temperature lubricating grease viscosity-temperature characteristic curve as the friction term, and the product of the radome's wind resistance area and the square of the relative wind speed as the wind resistance torque term. The instantaneous input power is calculated by multiplying the sum of these torque terms by the servo motor's angular velocity, and then integrating over a unit time to obtain the antenna pointing load value. The temperature control load simulation processing involves extracting the current ambient temperature and ice / snow adhesion in the radome area where the target antenna unit is located. The system calculates the protection coefficient by taking the antenna pointing load value and the thermal resistance parameters of the radome insulation layer as inputs to a preset thermodynamic simulation model to estimate the combined operating power of the electric heating film and the hot air circulation device. The output value represents the temperature control load required to maintain the radome within a safe operating temperature range. The preset thermodynamic simulation model includes a heat conduction loss sub-model driven by the temperature difference between the ambient temperature and the target maintenance temperature, a snow and ice removal power consumption sub-model with the snow and ice adhesion level and corresponding latent heat of melting as inputs, and a convective heat exchange loss sub-model with natural convection wind speed and radome surface area as inputs. The protection coefficient fusion calculation process involves normalizing the antenna pointing load value and the temperature control load value, then weighting and summing them according to preset fusion weights, and correcting them based on the influencing factors corresponding to the current snow and ice adhesion level. The output value is a protection coefficient within a preset threshold range. A higher protection coefficient indicates a more urgent need for extreme cold protection resources in the current seamless switching solution set.

[0065] This invention can determine the target communication state in the extreme cold scenario based on the comparison between the protection coefficient and the preset protection threshold, thereby performing autonomous control in the extreme cold scenario and achieving a dynamic balance between communication quality assurance and extreme cold protection energy consumption. For a more intuitive understanding of the autonomous control process, please refer to... Figure 2 As shown, Figure 2 This is a flowchart of the autonomous control process provided in the embodiments of the present invention, from... Figure 2 As can be seen, when the protection coefficient is lower than the first protection threshold, the terminal maintains full-power communication and executes a first-level preheating strategy—when the ambient temperature is lower than a preset low-temperature threshold, the electric heating film is activated to preheat the core components at a preset ratio of rated power; when the protection coefficient is between the first protection threshold and the second protection threshold, the terminal switches to a reduced-power communication state and executes a second-level constant-temperature strategy—when the ambient temperature is lower than a preset extreme low-temperature threshold, closed-loop PID temperature control is activated to maintain the device junction temperature above a preset safe temperature range; when the protection coefficient exceeds the second protection threshold, the terminal switches to a keep-alive state and executes a third-level snow removal and de-icing strategy—when snow or ice is detected on the antenna cover, the electric heating de-icing layer and hot air circulation device are activated at full power to perform de-icing and snow removal operations.

[0066] like Figure 3 The diagram shown is a functional block diagram of the intelligent satellite communication control system for extremely cold environments according to the present invention.

[0067] The intelligent satellite communication control system 300 for extremely cold environments described in this invention can be installed in electronic devices. Based on the functions implemented, the intelligent satellite communication control system for extremely cold environments includes a resource pool construction module 301, a weighted evaluation network establishment module 302, a link migration instruction determination module 303, a seamless handover set construction module 304, and a scene management and processing module 305. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0068] In this embodiment of the invention, the functions of each module / unit are as follows: The resource pool construction module 301 is used to acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and based on the terminal perception information, determine the terminal wake-up order of the satellite communication terminals in order to establish an initial redundant resource pool for the satellite communication terminals. The weighted evaluation network establishment module 302 is used to analyze the feature correlation in the extreme cold scenario based on the initial redundant resource pool, and establish a weighted evaluation network for the extreme cold scenario based on the feature correlation. The link migration instruction determination module 303 is used to output the optimal target mode and confidence level score of the extreme cold scenario through the weighted evaluation network, and determine the link migration instruction of the extreme cold scenario based on the optimal target mode, the confidence level score and the initial redundant resource pool. The seamless handover solution set construction module 304 is used to generate the radio frequency switch scheduling of the link migration instruction to construct the seamless handover solution set for the extreme cold scenario. The scene management and processing module 305 is used to determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scene in order to perform autonomous control of the extreme cold scene.

[0069] In detail, the modules in the satellite communication intelligent control system 300 for extremely cold environments described in this embodiment of the invention employ the same methods as described above. Figure 1 The method uses the same technical means as the intelligent control method for satellite communication in extremely cold environments described in the article, and can produce the same technical effect, so it will not be elaborated here.

[0070] In one embodiment, a computer device is provided, which may be a server or a client, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used for communication with external clients via a network connection. When the computer program is executed by the processor, it implements the functions or steps of the intelligent control method for satellite communication in extremely cold environments on the server or client side.

[0071] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: Acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and determine the terminal wake-up order of the satellite communication terminals based on the terminal perception information in order to establish an initial redundant resource pool for the satellite communication terminals. Based on the initial redundant resource pool, the feature correlation in the extreme cold scenario is analyzed, and a weighted evaluation network for the extreme cold scenario is established based on the feature correlation. The weighted evaluation network outputs the optimal target mode and confidence level score for the extreme cold scenario. Based on the optimal target mode, the confidence level score, and the initial redundant resource pool, the link migration command for the extreme cold scenario is determined. Radio frequency switch scheduling that generates the link migration command is used to construct a seamless switching solution set for the extreme cold scenario; Determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scenario in order to perform autonomous control of the extreme cold scenario.

[0072] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and determine the terminal wake-up order of the satellite communication terminals based on the terminal perception information in order to establish an initial redundant resource pool for the satellite communication terminals. Based on the initial redundant resource pool, the feature correlation in the extreme cold scenario is analyzed, and a weighted evaluation network for the extreme cold scenario is established based on the feature correlation. The weighted evaluation network outputs the optimal target mode and confidence level score for the extreme cold scenario. Based on the optimal target mode, the confidence level score, and the initial redundant resource pool, the link migration command for the extreme cold scenario is determined. Radio frequency switch scheduling that generates the link migration command is used to construct a seamless switching solution set for the extreme cold scenario; Determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scenario in order to perform autonomous control of the extreme cold scenario.

[0073] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0074] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0075] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0076] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0077] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A smart control method for satellite communication in extremely cold environments, characterized in that, The method includes: Acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and determine the terminal wake-up order of the satellite communication terminals based on the terminal perception information in order to establish an initial redundant resource pool for the satellite communication terminals. Based on the initial redundant resource pool, the feature correlation in the extreme cold scenario is analyzed, and a weighted evaluation network for the extreme cold scenario is established based on the feature correlation. The weighted evaluation network outputs the optimal target mode and confidence level score for the extreme cold scenario. Based on the optimal target mode, the confidence level score, and the initial redundant resource pool, the link migration command for the extreme cold scenario is determined. Radio frequency switch scheduling that generates the link migration command is used to construct a seamless switching solution set for the extreme cold scenario; Determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scenario in order to perform autonomous control of the extreme cold scenario.

2. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, Determining the terminal wake-up order of the satellite communication terminals includes: The terminal sensing information is subjected to temperature gradient grading processing to obtain a wake-up priority label; The wake-up priority label is subjected to health status verification to obtain an ordered wake-up sequence; Based on the ordered wake-up sequence, the terminal wake-up order of the satellite communication terminal is determined.

3. The intelligent control method for satellite communication in extremely cold environments as described in claim 2, characterized in that, The step of performing temperature gradient grading processing on the terminal's perceived information to obtain a wake-up priority label includes: Calculate the module temperature gradient coefficient corresponding to the terminal sensing information; Based on a preset grading threshold, the temperature gradient coefficient of the module is subjected to grading mapping processing to obtain a preliminary wake-up level; The initial wake-up levels are sorted and arranged in ascending order of power consumption to obtain wake-up priority labels.

4. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The establishment of the initial redundant resource pool for the satellite communication terminal includes: The available hardware units that have passed the health status verification in the terminal sensing information are grouped and registered according to unit type to obtain the available antenna set and the available baseband set. The available antenna set and the available baseband set are subjected to a fully connected cross-mapping process to obtain an initial redundancy resource matrix, thereby establishing the initial redundancy resource pool of the satellite communication terminal.

5. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The analysis of feature correlations in the extreme cold scenario based on the initial redundant resource pool includes: Based on the initial redundant resource pool, a set of alternative switching options for the extreme cold scenario is established; Perform link quality prediction processing on each candidate link in the switching candidate set to obtain the link quality index and remaining available time for each candidate link; Extract the environmental and link-side features from the switching candidate set; Based on the link quality indicators and the remaining available time, cross-dimensional correlation analysis is performed on the environmental features and the link features to obtain the feature correlation situation of the extreme cold scenario.

6. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The step of establishing a weighted evaluation network for the extreme cold scenario based on the aforementioned feature association includes: The feature association scenarios are modeled to obtain a feature association network. Based on the feature association network, the candidate links in the extreme cold scenario are subjected to multi-attribute weighted fusion processing to obtain the link weighted evaluation matrix; Based on the link weighted evaluation matrix, a weighted evaluation network for the extreme cold scenario is established.

7. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The step of determining the link migration instructions for the extreme cold scenario based on the optimal target mode, the confidence level score, and the initial redundant resource pool includes: The optimal target mode and the confidence level score are subjected to decision verification processing to obtain an executable target mode; The executable target mode is mapped to the initial redundant resource pool using radio frequency path mapping to obtain the target link establishment instruction; Based on the target link establishment instruction, a link migration instruction for the extreme cold scenario is generated.

8. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The radio frequency switch scheduling that generates the link migration command includes: Extract the target antenna identifier and target baseband identifier from the link migration instruction to generate a first scheduling instruction set for the link migration instruction. The first scheduling instruction set is used to establish a target radio frequency path while maintaining the connectivity of the original radio frequency path corresponding to the link migration instruction. Based on the first scheduling instruction set, a second scheduling instruction set is generated for initiating parallel dual-path transmission of the original radio frequency path and the target radio frequency path. Based on the second scheduling instruction set, a third scheduling instruction set is generated for releasing the channel resources corresponding to the original radio frequency channel; By combining the first scheduling instruction set, the second scheduling instruction set, and the third scheduling instruction set, the radio frequency switch scheduling of the link migration instruction is generated.

9. The intelligent control method for satellite communication in extremely cold environments as described in claim 1, characterized in that, The construction of a seamless switching solution set for the extreme cold scenario based on the radio frequency switch scheduling includes: After the RF switch scheduling is executed, each link is stabilized to obtain the link ready state. Based on the link ready state, the release status confirmation process is performed on each link after the RF switch scheduling is executed to obtain the release completion state. By combining the link ready state and the release completed state, a seamless switching solution set for the extreme cold scenario is constructed.

10. A satellite communication intelligent control system for extremely cold environments, characterized in that, The system includes: The resource pool construction module is used to acquire terminal perception information of satellite communication terminals in extremely cold scenarios, and based on the terminal perception information, determine the terminal wake-up order of the satellite communication terminals in order to establish an initial redundant resource pool for the satellite communication terminals. The weighted evaluation network establishment module is used to analyze the feature correlation in the extreme cold scenario based on the initial redundant resource pool, and establish a weighted evaluation network for the extreme cold scenario based on the feature correlation. The link migration instruction determination module is used to output the optimal target mode and confidence level score of the extreme cold scenario through the weighted evaluation network, and determine the link migration instruction of the extreme cold scenario based on the optimal target mode, the confidence level score and the initial redundant resource pool. A seamless handover solution set construction module is used to generate the radio frequency switch scheduling of the link migration instruction in order to construct the seamless handover solution set for the extreme cold scenario; The scene management and processing module is used to determine the protection coefficient of the seamless switching solution set, and based on the protection coefficient, determine the communication target state of the extreme cold scene in order to perform autonomous control of the extreme cold scene.

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