1657 results about "Ground station" patented technology

The invention provides a satellite measurement and control data anomaly detection and intelligent diagnosis early warning method and system, and relates to the technical field of satellite measurement and control, and the method comprises the steps: obtaining multi-source heterogeneous data in a satellite measurement and control system, and carrying out the preprocessing of the multi-source heterogeneous data; constructing a multi-level space-time fusion network model, inputting the preprocessed multi-source heterogeneous data into the multi-level space-time fusion network model, and extracting high-dimensional space-time features; based on the extracted high-dimensional spatial-temporal features, designing a dynamic adaptive anomaly detection algorithm, and performing anomaly detection on the satellite measurement and control data; according to an anomaly detection result, performing intelligent diagnosis by using a pre-constructed multi-level satellite system knowledge graph; based on the intelligent diagnosis result, multi-level early warning information is generated; a distributed edge computing architecture is designed, and partial data processing and anomaly detection tasks are deployed to a ground station and a satellite end; and presenting the generated multi-level early warning information through a visual interface, and automatically triggering a corresponding emergency plan according to the early warning level.

The invention discloses a data cooperative transmission method and system for a low earth orbit satellite Internet of Things terminal, and the method specifically comprises the steps: carrying out the classification cutting of environment data, and forming a plurality of environment data subsets; determining a plurality of cooperative sending terminals and respective optimal communication paths between the first low earth orbit satellite Internet of Things terminal and each cooperative sending terminal based on a communication topological structure relationship between the low earth orbit satellite Internet of Things terminals in the ad hoc network; transmitting the environment data subsets with different priorities to corresponding cooperative sending terminals through different optimal communication paths; and according to the environment data subsets sent by each cooperative sending terminal and received by the low-orbit satellite, splicing the environment data subsets and forwarding the spliced environment data subsets to a target terminal or a ground station or a data center. According to the invention, the cooperative effect among a plurality of low-orbit satellite Internet of Things terminals can be fully utilized, and stable and reliable data transmission under the requirements of large data volume and high real-time performance is realized.

The invention provides a dynamic scheduling management method and system for spaceflight measurement and control task resources, and relates to the technical field of spaceflight measurement and control resource scheduling. Defining a task feature vector according to the time sensitivity, the resource demand intensity and the coupling degree between the tasks of the tasks; satellite health parameters, equipment working conditions and environment data are collected in real time through a satellite-ground Internet of Things terminal, and digital twin bodies are constructed; performing priority ranking, resource matching and conflict resolution mechanism on the tasks according to the task feature vectors, performing global optimization scheduling on the spaceflight measurement and control tasks, and executing cross-domain two-stage scheduling during global optimization scheduling; based on bitmap decision matrix calculation, weighting calculation is carried out in combination with task matching values and conflict depths, the priority of conflict tasks is dynamically adjusted, conflicts generated in the scheduling process are dynamically eliminated, and the method can be applied to resource scheduling and optimization of low-orbit satellites and ground stations.

The invention relates to power transmission line unmanned aerial vehicle inspection, and discloses a power transmission line unmanned aerial vehicle inspection path dynamic planning system, which comprises a quantum high-precision positioning unit, an environment perception and electromagnetic field modeling unit, a dynamic path planning unit, an unmanned aerial vehicle flight control unit and a ground station task management unit. The quantum positioning unit fuses quantum inertial navigation, GNSS and quantum magnetometer data to improve the positioning precision under strong interference; the environment sensing unit obtains a three-dimensional environment and electromagnetic field distribution of the power transmission line; the path planning unit dynamically optimizes an inspection path based on positioning and environment information; the flight control unit performs accurate execution; and ground station management tasks and data analysis. The anti-interference positioning precision of the unmanned aerial vehicle is remarkably improved, accurate path planning and electromagnetic field avoidance are realized, the inspection risk is effectively reduced, and the efficiency, the safety and the adaptability are improved.

A low earth orbit satellite (LEO)-based communication system and method. The system comprises a low-orbit satellite constellation, a ground station, a user terminal and a network management and control center. The network management and control center comprises a track and link prediction module, a link quality prediction and evaluation module, a predictive resource pre-allocation and dynamic adjustment module and a space-ground cooperative control module. According to the communication system, active resource optimization and dynamic adjustment before actual switching are realized through track and link prediction, link quality prediction, predictive resource pre-allocation and dynamic adjustment and air-ground cooperative control. According to the method, the switching time delay can be greatly reduced, the packet loss rate is remarkably reduced, and the system throughput and the access success rate are also remarkably improved. Through predictive management, the performance, reliability and user experience of LEO communication are comprehensively improved.

The invention discloses a low earth orbit satellite Internet of Things communication method and system based on a dynamic block chain, and the method specifically comprises the steps: taking at least one ground station as a consensus node in each network partition, forming a consensus network, and selecting a main node from a plurality of consensus nodes of each consensus network through employing an RBFT algorithm; a satellite transit algorithm is adopted to predict transit information of each low-orbit satellite, and the low-orbit satellites passing through any consensus network are set as accounting nodes of the consensus network according to the transit information; the method comprises the following steps: acquiring a service request of a satellite communication terminal, forwarding the service request to a main node of a consensus network to which the service request belongs through a low-orbit satellite of a transit satellite communication terminal, performing verification and priority ranking on the service request according to the main node, and if the verification is passed, performing broadcast and consensus verification on all nodes of the current consensus network. According to the invention, the communication efficiency and safety of the low-orbit satellite Internet of Things are improved, and reliable technical support is provided for satellite Internet application.

The invention provides a control method and system for an unmanned aerial vehicle to check and hit a ground station. The method comprises the following steps: firstly, acquiring real-time image data, carrying out terrain contour comparison, identifying a disaster risk area, secondly, generating a task mark file, compressing the task mark file into an encrypted data packet with a geographic label, then sending the encrypted data packet to a ground station, simultaneously receiving a rescue priority instruction, and adjusting the hovering height and the inspection navigational speed of the unmanned aerial vehicle. The method comprises the steps of receiving a device ready state code, sending the device ready state code to a ground station, verifying the integrity of the device ready state code to generate an action authorization identifier, controlling an unmanned aerial vehicle to fly to a safe coordinate, controlling the unmanned aerial vehicle to execute a task when a positioning signal transmitter receives a synchronous verification signal, and automatically deleting data after the task is completed; according to the technical scheme provided by the invention, rapid response, accurate execution and data closed-loop management of the unmanned aerial vehicle to the multi-target area in a disaster rescue scene are realized.

The present invention provides an unmanned aerial vehicle-based electric power patrol inspection control method and system. The method comprises: creating a flight path on the basis of an electric power patrol inspection area, and collecting images and position information of electric power devices by means of various types of devices carried by an unmanned aerial vehicle, the images and the position information being transmitted to a receiving terminal at a ground station in a wireless transmission mode; the ground station receiving the images and the position information that are collected in real time, processing and analyzing the images to obtain analytic status, such as defects, damage and corrosion, of the electric power devices; and, on the basis of the analytic status from the ground station, using the position information as distinguishing features to generate an electronic patrol inspection report, providing service lives, maintenance costs and maintenance measures of the electric power devices on the basis of the electronic patrol inspection report, and notifying maintenance staff of the position information of the electric power devices. The system comprises an unmanned aerial vehicle control module, an image processing and analysis module and an electronic patrol inspection report generation module. The present invention is of great significance to maintenance and management of electric power devices.

The invention provides a lunar satellite formation autonomous navigation method based on inter-satellite ranging information. The lunar satellite formation autonomous navigation method comprises three parts of orbit dynamics model establishment, collaborative observation model establishment and navigation filtering algorithm data fusion. The invention provides an autonomous navigation method based on inter-satellite distance measurement and angle measurement information, which establishes a high-precision dynamic model containing 165-order moon non-spherical perturbation for moon satellite formation. The system can operate independently of a ground station, and high-precision autonomous navigation of the lunar satellite formation is realized only by using on-orbit observation data.

Various embodiments described herein generally relate to a method and system for secure distribution of symmetric encryption keys using quantum key distribution (QKD). In at least one embodiment, there is provided a method for secure communication, comprising: establishing one or more secure keys at a first and second ground station using a quantum key distribution (QKD) protocol; transmitting from the first station to the second station a plurality of encryption keys, wherein the transmitting comprises: encrypting, at the first station, the plurality of encryption keys using at least one of the one or more of secure keys to generate an encrypted batch of keys; transmitting the encrypted batch of keys to the second station; and decrypting, at the second station, the encrypted batch of keys using the at least one secure key to access the plurality of encryption keys.

The invention belongs to the technical field of low-orbit satellite communication, and discloses a satellite system for jointly improving measurement and control data transmission and communication application efficiency. A control unit is responsible for completing satellite calendar attitude calculation of satellite broadcast, analyzing a satellite working mode switching instruction according to ground station information stored by a storage unit, and then sending the instruction to each module unit; the two baseband processing units both support on-orbit reconstruction and loading, wherein the baseband processing unit A is used for completing measurement and control signal processing or user wide beam access signal processing; the baseband processing unit B is used for completing communication service signal processing or data transmission signal processing; the two up-conversion units respectively carry out up-conversion processing on a service link signal and a measurement and control link signal in the signal processing module, and the two down-conversion units respectively receive signals of the phased array transceiver antenna and the wide beam transceiver antenna and complete down-conversion processing. The measurement and control link can support a satellite measurement and control function and a communication wide beam access function in a time-sharing manner.

The invention provides a lunar satellite formation orbit determination method and system. The method comprises the following steps: S1, establishing a lunar satellite high-precision dynamic model; s2, establishing a lunar satellite laser ranging and inter-satellite ranging mathematical model; s3, measuring the distance, namely the absolute position, of the A-type satellite relative to the ground station through laser ranging, and measuring the relative position of the B-type satellite relative to the A-type satellite through inter-satellite ranging; s4, preprocessing the absolute position and relative position data of the satellite measured by laser ranging and inter-satellite ranging, and generating a format data file required by orbit calculation; and S5, resolving the position coordinates of each satellite in the monthly formation through the format data file. According to the method, laser ranging and inter-satellite ranging are combined for orbit determination, precise orbit determination of the lunar satellite formation is achieved, compared with a traditional orbit determination mode, the precision can be improved from the hundred-meter level to the meter level, the requirements for the arrangement number of ground stations and set distribution are reduced, and the measurement and control pressure of existing ground stations is relieved.

The invention provides a satellite networking communication method, device and equipment, and the method comprises the steps: carrying out the space-time window decomposition processing of a satellite constellation orbit parameter based on orbit phase synchronization, and decomposing a long-period scheduling problem into a plurality of short-period sub-problems; performing state transition conflict detection processing on the double-feed antenna system according to the space-time window decomposition result, and determining the working state of the feed antenna; parallel neighborhood search processing based on reinforcement learning is carried out according to the feed antenna resource configuration scheme, and a communication link scheduling strategy is generated through multi-thread collaborative optimization; and performing dynamic fusion processing based on state prediction according to the parallel optimization scheduling scheme, and adjusting a satellite-ground station communication link establishment time sequence through learning type template matching. Through space-time decomposition, intelligent conflict detection, reinforcement learning optimization and dynamic fusion, the problems of complexity and real-time performance of large-scale satellite networking communication scheduling are solved, and the scheduling efficiency and the communication quality are remarkably improved.

The invention relates to the technical field of wind field simulation, and provides a wind field numerical simulation method based on multiple meteorological data sources. The objective of the invention is to solve the problems of large simulation error, rough terrain boundary processing and poor turbulence model parameter adaptability caused by non-uniform coverage of a single data source, insufficient precision and unscientific multi-source fusion. The method is characterized by comprising the following steps: step 1, constructing a CFD three-dimensional grid based on a geometric model of a target area; 2, collecting original data of a ground station, satellite remote sensing, numerical forecasting and the like; 3, performing standardized preprocessing (abnormal value elimination, missing interpolation, radiation / geometric correction and resampling), determining a multi-source fusion weight by combining historical data analysis, and generating comprehensive meteorological data by adopting a weighted average method; and 4, inputting the comprehensive data into a CFD-RANS model, dynamically adjusting turbulence parameters, accurately setting terrain boundary conditions, and obtaining a wind field space-time distribution result through numerical solution. According to the invention, through combination of multi-source data fusion and CFD simulation, the wind field simulation precision and stability are improved.

The invention relates to the technical field of unmanned aerial vehicle communication, and discloses a dynamic spectrum frequency hopping communication method and device for a target aircraft and a ground station, and the method comprises the steps: collecting state information; evaluating a signal quality indicator based on the power data; based on the total spectral range and the signal quality index, segmenting the total spectral range into N sub-bands to obtain a spectrum allocation result; based on the task priority and the communication quality index, carrying out main target machine election; each target machine sends an orthogonal detection sequence in a corresponding time slot to obtain channel state information; converting the channel state information into a frequency hopping key; generating a frequency hopping sequence based on the frequency hopping key; according to the invention, an adaptive frequency hopping technology based on a channel state is adopted, the channel quality is monitored in real time, and a dynamic frequency hopping sequence is generated, so that an interference frequency band is effectively avoided; through a time division multiplexing channel detection mechanism, signal overlapping is fundamentally avoided, and continuous and stable operation in a complex dynamic environment is ensured.

The techniques disclosed herein include formulation and communication of intent-based instructions that include predetermined desired outcomes associated with satellites and / or corresponding ground stations even under dynamically-changing conditions, that allow for desired satellite behaviors and facilitate high-performance payload delivery. An intent processor, located on each satellite and / or on each corresponding ground station, is used to generate and execute low-level command sequences in order to fulfill the semantics of the intent-based instructions. The intent-based instructions and / or the low-level command sequences relate to dynamic operation of the satellite under changing conditions, and / or dynamic operation of corresponding ground stations so as to achieve on-going desired behaviors of the satellite with respect to the corresponding ground stations. Additionally, situation-aware and dynamically tunable models are produced and selectively invoked to be able to accurately achieve desired satellite behavior.

The invention relates to the technical field of unmanned aerial vehicle detection and recognition, in particular to an unmanned aerial vehicle detection system and method based on vision, laser radar and sound waves, and the system comprises a sensor unit, a data processing fusion unit and a target recognition tracking unit. The data processing fusion unit performs multi-source data alignment and weighted fusion to extract texture, shape and color features of the image, point cloud generates a depth map, sound wave signals are mapped into a two-dimensional feature map, and weights are dynamically distributed based on sensor reliability to generate a unified feature map; the target identification and tracking unit identifies the type of the unmanned aerial vehicle by using the optimized deep learning model and realizes accurate prediction and updating of position and speed states in combination with Kalman filtering, and the decision response unit triggers sound-light alarm and wireless alarm for the non-cooperative unmanned aerial vehicle in real time and transmits target dynamic information to the ground station. And the target detection accuracy of the unmanned aerial vehicle in a complex environment is improved.

The invention discloses a reliable communication system based on a publishing and subscribing mode in a satellite-ground weak network environment, and aims to solve the problems of high round-trip delay, limited link bandwidth, high instantaneous packet loss rate, easiness in blocking and switching influence of links and the like in a data transmission process between a low-orbit satellite and a ground station. A publishing and subscribing model is introduced into an application layer to realize service logic decoupling, deep fusion with an underlying enhanced QUIC transmission protocol is realized, and mechanisms such as message persistence, breakpoint resume, forward error correction and connection migration are combined, so that stable, orderly, complete and safe transmission of service data can still be ensured under the conditions of link instability, quality fluctuation and communication interruption, and the service data transmission efficiency is improved. And high availability and continuity of a satellite-ground communication task under a weak network condition are realized.

The invention provides an unmanned aerial vehicle enhanced positioning method and system fusing GNSS and UWB, and the method comprises the steps: receiving a flight task instruction from a ground station, starting a GNSS module through the flight task instruction, obtaining an initial position, and building a communication connection with a plurality of fixed beacon nodes through a UWB module; adjusting the position estimation of the unmanned aerial vehicle according to the initial position and the real-time distance measurement information in combination with wide-area positioning data to obtain accurate position estimation, and when the unmanned aerial vehicle enters a signal blocking area, switching to UWB to carry out accurate positioning processing on the unmanned aerial vehicle and generating a fusion positioning result; updating the positioning strategy in case of emergency in the process of executing the specific task to obtain a positioning scheme; all GNSS and UWB positioning data acquired during the flight period are integrated, analyzed and processed to generate a flight path report, and the flight path report is uploaded to a cloud server; according to the technical scheme provided by the invention, the positioning precision and service reliability of the unmanned aerial vehicle in different environments are improved, and smooth completion of tasks is ensured.

The invention discloses a satellite-ground cooperative wide-area real-time communication system and a communication method thereof, and relates to the technical field of satellite-ground cooperative communication, and the communication method comprises the following steps: deploying a satellite-ground cooperative network, configuring initial link parameters and node identifiers of a satellite and a ground station, and establishing a link state table; the link state data in the link state table are fed back to the control end, and the control end calculates a link comprehensive score based on the link state data; according to the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, communication channel reconstruction is carried out, and the optimal optical communication channel is selected; transmitting the encoded data stream to a receiving end through the optimal optical communication channel, and decoding the encoded data stream by the receiving end through a decoder to generate link quality data; and updating the link state table according to the link quality data. Based on the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, the communication channel is reconstructed, the optimal transmission path of the channel is ensured, and therefore the signal transmission quality and the bandwidth utilization rate are improved.

The invention relates to the field of environmental monitoring, and discloses a plateau region carbon emission monitoring management method and system, electronic equipment and a medium, and the method comprises the following steps: constructing an atmospheric boundary layer dynamic model for a plateau low-pressure and strong-turbulence environment, and achieving environmental adaptability modeling by correcting a turbulence diffusion coefficient and localized combustion efficiency; based on unmanned aerial vehicle group dynamic path planning and a ground station collaborative sensing network, flight parameters are adjusted in real time in combination with the concentration gradient, and time-space continuous multi-source fusion monitoring data are generated; a high-resolution carbon emission field is output through embedding a combustion efficiency correction factor and a space correlation graph structure by adopting a data assimilation algorithm with mixed ensemble Kalman filtering and a graph convolutional network; and constructing frozen soil degradation index parameters, and driving a transfer learning early warning model to realize methane flux dynamic prediction and multi-stage early warning triggering. According to the invention, the problems of insufficient carbon emission monitoring precision and lack of frozen soil degradation correlation evaluation in a plateau complex environment are solved.

The invention relates to a mineral reserve dynamic monitoring method and system based on satellite remote sensing and a block chain. The method comprises the following steps: acquiring original remote sensing data and metadata of a mining area, executing hash operation on the data by utilizing a satellite-borne trusted execution environment to generate integrity proof, and performing digital signature to construct a trusted data packet; transmitting the data packet to a ground station to verify the validity of the signature, extracting verified data, and submitting the verified data to a block chain for evidence storage; based on the on-chain evidence storage data, using a deep learning model to extract earth surface features and calculating reserves changes; and finally, a reserve change result is returned to the block chain, and dynamic supervision and early warning are realized through an intelligent contract, so that a technical system from data source credible guarantee, transmission process tampering prevention, reserve intelligent calculation to supervision automatic execution is constructed. The problems that in traditional mineral product monitoring, the authenticity of a data source is lack, the processing process is not traceable, and supervision response is lagged are solved, and the reliability, auditing performance and supervision timeliness of a mineral product reserve dynamic monitoring result are improved.

The invention relates to the technical field of ocean data processing and intelligent reconstruction, and particularly provides an ocean spatio-temporal data interpolation method based on remote sensing condition information diffusion. The method comprises the following steps: processing observation data of multiple sites on the ground and remote sensing data of L4 ocean to obtain an observation data set, a remote sensing data set and data sets with different missing rates; respectively carrying out standardization and distribution alignment processing on the observation data set and the remote sensing data set to obtain preprocessed data, and obtaining a trained model; according to the method, an interpolation framework based on a conditional diffusion mechanism is constructed, and interpolation reasoning is carried out for data sets with different missing rates through a trained model, so that the accuracy of interpolation of the missing values of observation data is improved, and the physical rationality and the overall continuity of an interpolation result are ensured.

The invention discloses a multi-satellite task scheduling method based on a genetic algorithm, and belongs to the technical field of satellite task scheduling. Establishing a scheduling model based on satellite and ground station visible window data, and integrating a scheduling period constraint, a task uniqueness constraint, an equipment protection time constraint and a frequency band and orbit type matching constraint by taking task income maximization as a target; a simulated annealing local search mechanism is introduced into the genetic algorithm, local optimum is jumped out through a probability acceptance inferior solution, and a self-adaptive strategy of mutation probability is dynamically adjusted according to population fitness change; setting an early stop mechanism to terminate iteration in advance when the fitness is continuously not improved; and finally generating a scheduling scheme. According to the method, the problems that a traditional genetic algorithm is prone to falling into local optimum and constraint processing is rigid are solved.

The invention discloses an earth surface CO2 concentration space-time prediction method fused with satellite-earth observation data, and is suitable for the field of atmosphere and space data monitoring. Preprocessing the acquired XCO2 observation data of the multi-source satellite, the CO2 observation data of the ground station and the auxiliary variable data, and fusing the XCO2 data observed by the multi-source satellite based on an uncertainty weighting method; quantifying the correlation between each auxiliary variable data and the CO2 concentration of the ground station based on a Pearson's correlation coefficient, carrying out significance test, and screening auxiliary variable data with significant correlation; a CNN-GRU-Attention deep fusion model is constructed, spatial-temporal correlation modeling is carried out on the CO2 concentration of a ground station, multi-source satellite observation XCO2 fusion data around the ground station and remarkably related auxiliary variables, and a spatial-temporal characteristic relation is mined, so that spatial-temporal prediction is carried out on the CO2 concentration of the earth surface. The method is strong in generalization ability and high in prediction precision, and can be suitable for space-time prediction of the surface CO2 concentration in different regions.

The invention discloses a low-orbit satellite measurement and control orbit determination method, device and equipment and a medium, and the method comprises the steps: obtaining a satellite-borne GNSS pseudo-range observation value and a GNSS broadcast ephemeris, and carrying out the calculation through a pseudo-range single-point positioning algorithm, and obtaining a self-positioning result of a low-orbit satellite; when the number of GNSS satellites used by pseudo-range single-point positioning is lower than a first threshold value, or a satellite space distribution characteristic value of a positioning epoch is greater than a second threshold value, removing a corresponding self-positioning result; polynomial fitting is carried out on the filtered self-positioning results by adopting a sliding window, the self-positioning results with fitting residual errors larger than a third threshold value are removed, then interpolation processing is carried out, and optimized self-positioning results are obtained; and orbit determination is carried out in combination with a dynamic fitting method, and a final low-orbit satellite measurement and control orbit is obtained. The method is low in calculation cost and good in real-time performance, gets rid of the dependence of a ground station, is less affected by low-orbit satellite orbit maneuver, and can reflect a more accurate satellite position.

The invention relates to a wind resource prediction method based on quality control assimilation of multi-source observation data, and the method comprises the steps: integrating the multi-source observation data, including a multi-band radar reflectivity factor, a radial speed, a ground observation station, and wind profile radar data; quality control processing such as mottle removal, data filling, speed folding removal and discontinuous data removal is carried out, so that the accuracy and continuity of the data are improved; then, through lattice point interpolation and three-dimensional variation assimilation technologies, the processed observation data are fused into an initial background field, and an analysis field closer to the actual atmospheric state is generated, so that the reliability of severe convective weather risk assessment is remarkably improved, and the accuracy of wind energy prediction is also enhanced; and more comprehensive, detailed and stable information support is provided for weather forecast and energy management.

The invention relates to the technical field of air quality monitoring, in particular to an air quality monitoring station site selection optimization method, medium and equipment, and the method comprises the steps: S1, obtaining remote sensing monitoring data and ground station monitoring data of pollutant concentration of a certain research area; s2, correcting the remote sensing monitoring data based on a random forest model to obtain corrected monitoring data; s3, evaluating the credibility of the corrected monitoring data based on the consistency measurement index, and if the consistency measurement index of the corrected monitoring data is higher than the consistency measurement index of the remote sensing monitoring data, entering S4; otherwise, returning to S2; and S4, according to the corrected monitoring data, optimizing the monitoring station at the pollution view angle, and obtaining a monitoring station site selection result after the pollution view angle optimization. According to the invention, overall consideration of monitoring efficiency and health protection is realized, future development change is considered, and more accurate and comprehensive data support can be provided for air quality monitoring and environment management.

The invention discloses a network communication method and device suitable for a space-based distributed operating system, and the method comprises the steps: a satellite gateway node obtains a network layer data packet transmitted by an edge computing node, carries out the processing and packaging of the network layer data packet according to a data link layer protocol in a CCSDS protocol system, and transmits the network layer data packet to a ground station through a baseband and a radio frequency device; and after acquiring the data link layer data packet, the node, connected with the baseband equipment, of the ground station processes the data packet step by step according to a corresponding data link layer protocol and removes a data link layer packet header until an internal network layer data packet is acquired, and sends the internal network layer data packet to a corresponding control node. Establishing a communication tunnel between an edge computing node and a control node in the space-based distributed operating system; and the control node transmits the network layer data packet to the edge computing node through the communication tunnel by using the same communication line. According to the invention, the process running at the edge computing node and the control node can carry out network communication without any adaptation.

The invention discloses a networked measurement and control data transmission task scheduling method for a giant low-orbit satellite constellation, and solves the problem of low completion rate of measurement and control data transmission tasks caused by incapability of global station distribution in the prior art. Obtaining a resource attribute, a ground station state and a low earth orbit satellite state by using the task layer, the resource layer, the equipment state and the constellation state, performing data conversion to obtain input data, inputting the input data into the trained multi-agent network to obtain an action corresponding to the current time slot, and determining an entry low earth orbit satellite and an associated ground station according to the action; obtaining a routing path between the entry low earth orbit satellite and the task low earth orbit satellite according to the inter-satellite shortest path routing table, and determining a scheduling sequence according to the routing path and the associated ground station; the mutual influence between global tasks and resources is considered, the effectiveness of decision making during execution is reduced, and meanwhile, the scheduling efficiency of measurement and control data transmission tasks in a giant low-orbit satellite constellation scene is improved.