222 results about "Satellite technology" patented technology

The invention discloses an offshore platform emergency control method based on a Beidou satellite system and related equipment, and relates to the technical field of Beidou satellites.The offshore platform emergency control method based on the Beidou satellite system comprises the steps that Beidou satellite time service signals and real-time meteorological data are obtained, the method comprises the following steps: synchronously acquiring structural deformation parameters, marine environment dynamic parameters and personnel positioning information of an offshore platform, and constructing multi-dimensional data of the offshore platform; fusing and analyzing the multidimensional data of the offshore platform, extracting space-time correlation characteristics through a pre-trained dynamic risk prediction model, constructing a multi-factor causal chain, and determining a platform risk level and accident type prediction result; and triggering graded emergency response according to the accident type prediction result, encrypting and transmitting a corresponding early warning instruction to a preset terminal through a Beidou short message, and executing a corresponding emergency control method. According to the invention, risk prediction and emergency response are carried out through the multi-dimensional data of time-space synchronization, so that the offshore platform can carry out timely emergency control.

The invention provides a satellite attitude control system fault diagnosis and fault-tolerant reconstruction method and system, and relates to the technical field of satellites, and the method comprises the steps: obtaining attitude data through a Kalman filtering state observer, building a fault diagnosis model, generating a residual sequence, and carrying out the adaptive dynamic threshold calculation to obtain a fault feature vector; and inputting the feature vector into a pre-trained deep belief network for fault diagnosis, and determining the fault type and degree. According to a diagnosis result, a mixed integer programming model considering attitude control precision and actuator power constraint is established, an improved genetic algorithm is adopted for solving, an actuator reconstruction scheme and controller parameters are obtained, and fault-tolerant control is achieved. According to the invention, faults can be diagnosed rapidly and accurately, fault-tolerant reconstruction is carried out according to fault types and degrees, the reliability and stability of a satellite attitude control system are effectively improved, and the satellite attitude control precision is ensured.

The invention relates to the technical field of low earth orbit satellites, and discloses a method and equipment for improving the signal-to-noise ratio of a low earth orbit satellite signal, and the method comprises the steps: carrying out the multi-dimensional signal collection and processing of a received signal of a low earth orbit satellite downlink, and obtaining a signal tensor model; executing structured decomposition based on the signal tensor model to obtain a channel factor matrix group; performing multi-stage sequential processing according to the channel factor matrix group to obtain low-orbit satellite channel state information; inputting the low-orbit satellite channel state information into an interference identification module for feature extraction and interference type analysis to obtain an interference type and probability distribution thereof; performing multi-dimensional adaptive filtering on the received signal to obtain a target signal; and performing modulation coding and beam forming parameter joint optimization on the target signal and the low-earth-orbit satellite channel state information to obtain a low-earth-orbit satellite communication link, thereby solving the problem of large fluctuation of the signal-to-noise ratio in a satellite rapid moving scene, and realizing balance of power efficiency and anti-interference performance at the same time.

The invention belongs to the technical field of satellites, and discloses a centralized photovoltaic power station capacity prediction method and system based on a satellite image and topographic data, and the method comprises the steps: carrying out the recognition of a Sentinel remote sensing image, obtaining a photovoltaic distribution position after photovoltaic automatic recognition according to the spectral characteristics, including the mean value of each spectral band, NDVI, NDWI and other indexes, and carrying out the prediction of the capacity of a photovoltaic power station. Meanwhile, elevation data provided by DEM images are integrated to calculate a topographic slope value, then influence factors such as photovoltaic image area, inclination angle, direction angle and installation spacing are calculated by using parameters such as image resolution and geographic latitude, and finally, parameters such as known photovoltaic scale and photovoltaic materials are combined to obtain a photovoltaic power generation system. And a prediction model of the capacity of the centralized photovoltaic power station is constructed with the installation capacity of a small number of known photovoltaic power stations, so that accurate prediction from the image area of the photovoltaic power station identified by the satellite image to the actual installation capacity is realized. The method comprehensively considers the influence of the direction angle, the inclination angle, the installation spacing and the like of the photovoltaic power station on the actual installation capacity, is suitable for mountainous and hilly areas with complex terrains, improves the problem of inaccuracy of a method for estimating the capacity based on the projection area, and provides a scientific basis for the capacity evaluation of the photovoltaic power station.

The invention discloses a power equipment state monitoring method based on Beidou high-precision time service and related equipment, and relates to the technical field of Beidou satellites.The power equipment state monitoring method based on Beidou high-precision time service comprises the steps that Beidou satellite signals are obtained, and real-time ionosphere data are collected; based on the Beidou satellite signal and the ionosphere real-time data, ionosphere delay compensation is carried out according to a preset dynamic compensation model, a high-precision Beidou time service signal is determined, and accurate synchronization of the multi-source data of the power equipment is realized according to the high-precision Beidou time service signal; the method comprises the steps of extracting feature information of real-time operation parameters of power equipment, obtaining global model knowledge of preset edge nodes in combination with a federal learning mechanism, analyzing and judging the state of the power equipment in real time according to a pre-trained lightweight neural network model, and obtaining real-time monitoring information of the health degree of the power equipment, the lightweight neural network model is obtained by performing parameter compression training through channel pruning and quantitative perception training.

The Legacy App comprises a digital mobile application platform consisting of interfaces to systems and methods to access profiles of deceased / interred individuals created by authorized account holders. The app will serve as a process manager for sharing burial site locator link, uploading photographs, videos, journal reels, and .pdf versions of obituaries to a memorial profile. These profiles will be made available and accessible at the burial site for those seeking ancestral data, general information, performing research, or just accessing while visiting the site. The app is configured in Legacy Accounts and Administrative Accounts to manage and curate the uploaded data and to manage the access and dissemination by users. The Legacy Plate™ will facilitate the physical digital access and GPS precise location of the memorials through QR code scanning technology at the site. The GPS manager interface will utilize Trimble DA2 Catalyst Precision SDK and Global Navigation Satellite Technology.

The invention provides a release device and a release system for stacked panel satellites, and relates to the technical field of panel satellites. The release device comprises a first release device, a second release device and a base; the first release device has an initial state and a release state, in the initial state, the first end of the first release device is connected with the base, the second end of the first release device is in compression joint with the top of the stacked panel satellite, and in the release state, the first end is disconnected with the base, and the second end is separated from the top of the stacked panel satellite; the second releasing device has an initial state and a releasing state, in the initial state, the third end of the second releasing device is connected with the base, the fourth end of the second releasing device is in compression joint with the middle, located between the top and the bottom, of the stacked panel satellites, and in the releasing state, the third end can move relative to the base, and the fourth end is separated from the middle of the stacked panel satellites; the release state of the first release device can trigger the release state of the second release device, so that the problem of separation collision when the stacked panel satellites are released is reduced or avoided.

The invention discloses a communication satellite multi-beam resource management and control method based on deep reinforcement learning, and belongs to the technical field of satellites. According to the invention, through the multi-agent reinforcement learning algorithm, the allocation strategy of the beam resources can be dynamically adjusted and optimized. A satellite antenna wave hopping technology and a time division multiplexing method are utilized to flexibly cope with changes of ground user requirements and communication flow, so that the overall throughput of a satellite link is remarkably improved. The dynamic optimization mechanism ensures efficient utilization of resources, and improves the transmission rate and quality of a communication system.

The invention provides a moving trajectory adjustment method and device and a storage medium, relates to the technical field of communication satellites, and can adjust the moving trajectory of a communication satellite according to the content of a first signal so as to avoid a flying object on an original moving trajectory. The operation of manual intervention is omitted, the communication satellite can autonomously avoid the flying object, and the communication satellite can effectively avoid the flying object in the first time in case of emergency. The method comprises the following steps: receiving a first signal, wherein the first signal comprises a signal obtained by reflecting a detection signal emitted by a communication satellite by a flying object and / or detection signals of other communication satellites; wherein the flying object and the communication satellite are in the same moving track; and adjusting the moving trajectory of the communication satellite according to the first signal.

The present application discloses a power equipment status monitoring method and related devices based on high-precision Beidou time service, which relates to the technical field of Beidou satellites. The power equipment status monitoring method based on high-precision Beidou time service includes: acquiring Beidou satellite signals and collecting real-time ionospheric data; based on the Beidou satellite signals and the real-time ionospheric data, performing ionospheric delay compensation according to a preset dynamic compensation model to determine a high-precision Beidou time service signal, and realizing precise synchronization of multi-source data of power equipment based on the high-precision Beidou time service signal; extracting characteristic information of real-time operation parameters of power equipment, obtaining global model knowledge of preset edge nodes in combination with a federated learning mechanism, and analyzing and judging the status of power equipment in real time according to a pre-trained lightweight neural network model to obtain real-time monitoring information on the health of power equipment, wherein the lightweight neural network model is obtained through parameter compression training by channel pruning and quantization-aware training.

The invention provides an application layer capability assessment method, device and equipment of an Internet of Things satellite communication system, and relates to the technical field of Internet of Things satellites, and the method comprises the steps: transmitting an uplink instruction to a ground terminal in the Internet of Things satellite communication system; the uplink instruction is used for instructing the ground terminal to send uplink data to an on-orbit communication satellite when the on-orbit communication satellite in the Internet of Things satellite communication system passes; acquiring downlink broadcast data issued by the on-orbit communication satellite; and determining an application layer capability evaluation result of the Internet of Things satellite communication system based on the downlink broadcast data, the uplink data and the monitoring data corresponding to the ground terminal. The technical scheme of the invention does not depend on X-band earth station receiving data, but evaluates the application layer capability of the Internet of Things satellite communication system based on the uplink data sent by the ground terminal to the in-orbit communication satellite, the downlink broadcast data issued by the in-orbit communication satellite and the monitoring data corresponding to the ground terminal, so that the evaluation process is simplified, and the evaluation efficiency is improved. And the time cost is reduced.

The invention relates to the technical field of satellites, in particular to a deployment method of a low-orbit large-scale satellite constellation, which comprises the following steps: S1, establishing a static network for launching deployment by taking each orbit and a launching site as nodes and taking a satellite transportation path between the nodes as an edge; the network side comprises non-time dimension information of each node; s2, on the basis of the static network, traversing all possible paths according to launch interval time of the vehicle and orbit dynamics to obtain a time expansion network; s3, a parking track and a target track are obtained, and a two-channel logistics network model is constructed according to the parking track and the target track; s4, based on the two-channel logistics network model, establishing a multivariable mixed integer optimal mathematical equation according to information contained in nodes and edges in the time expansion network; and S5, solving the two-channel logistics network model according to the mathematical equation to obtain an optimal launching deployment scheme of the satellite constellation.

The invention relates to the technical field of underground pipe network damage diagnosis, in particular to an underground pipe network damage diagnosis and analysis system based on an SAR satellite technology. The method comprises the following steps: firstly, collecting an SAR image of a target area of an urban underground pipe network, processing imaging data by adopting differential interference, calculating earth surface deformation and generating two-dimensional earth surface deformation data; then performing three-dimensional scanning on the deformation area by adopting LiDAR measurement to generate three-dimensional terrain point cloud data; performing spatial fusion analysis on the two-dimensional surface deformation data and the three-dimensional topographic point cloud data to obtain three-dimensional surface deformation data of a deformation area, and obtaining damage diagnosis information of the underground pipe network in combination with basic data of the underground pipe network; by combining the sensing data of the deformation area, the accuracy and efficiency of underground pipe network damage diagnosis are improved. The deformation rate and accumulated deformation are calculated through the time sequence InSAR technology, prediction and early warning of potential damage are achieved, and the method is suitable for large-range long-term monitoring of the urban underground pipe network.

The invention relates to the technical field of satellites, and discloses a virtualization and distribution-based satellite network simulation method and system, which are applied to a satellite network simulation system, and the system comprises a main node and working nodes; the method comprises the following steps: receiving new satellite group topology information sent by the upstream through the main node; determining a corresponding target instruction through the main node based on a comparison result of the new satellite group topological information and pre-stored historical topological information; executing a corresponding simulation task through the working node based on the obtained target instruction; and updating the current state of the star group through the main node based on the obtained execution result feedback of the simulation task. According to the technical scheme provided by the invention, the construction cost of a simulation environment can be reduced, the network simulation efficiency can be improved, and further, larger-scale satellite network simulation can be borne.

The present invention discloses a method and system for seamless indoor and outdoor positioning based on pseudo-satellite technology. By changing the pseudo-satellite transmitting end into a transceiver system, external satellite signals can be received while positioning indoors, so that indoor positioning and outdoor positioning are combined. The system also adds a reference transmitting end to assist in calculating the outdoor position by obtaining the distance and angle with the indoor target. The present invention can realize flexible indoor and outdoor positioning switching. Since the pseudo-satellite message is highly similar to the satellite in the sky, it does not affect the normal capture of the receiver. Whether the positioning target is indoors or outdoors, the signal can be received normally. Therefore, there is no need to design a special receiver and switch the indoor and outdoor modes. The system technology is simple to implement, and the algorithm is easy to implement and has strong controllability.

The invention discloses a modular multi-size cubesat attitude control integrated system suitable for batch production, and relates to the technical field of satellites. Comprising a structural unit, an attitude monitoring subsystem, an attitude control subsystem, a data processing subsystem, a data transmission communication subsystem and a power supply subsystem, and the five subsystems are installed on the structural unit. The structural unit is a hollow hexahedron composed of six mounting plates; the attitude monitoring subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the attitude control subsystem is electrically connected with the power supply subsystem and is also connected with the data processing subsystem through a signal line; the data processing subsystem is electrically connected with the power supply subsystem and is also connected with the data transmission communication subsystem and the power supply subsystem through signal lines; the data transmission communication subsystem is electrically connected with the power supply subsystem. The system has the advantages of being short in development and final assembly period, light in structure, unified in interface, multiple in function, good in expandability, capable of being used in a multi-size compatible mode and suitable for batch production.

The invention discloses a low-orbit satellite communication link switching system based on machine learning, and belongs to the technical field of low-orbit satellites, and the system comprises a data collection module which is configured to collect real-time data of a low-orbit satellite communication link; the data processing module is configured to process the real-time data of the low-orbit satellite communication link; the model training module is configured to predict the quality change of the low-earth-orbit satellite communication link and determine a quality prediction result of the low-earth-orbit satellite communication link; the switching decision module is configured to select an optimal switching opportunity and a target satellite according to the prediction result; and the switching execution module is configured to optimize a low-orbit satellite communication link switching process. The problem that the continuity and stability of satellite communication are low due to the fact that low-orbit satellite communication links cannot be effectively switched based on machine learning in the prior art is solved. According to the invention, accurate prediction of the link state and accurate control of the switching opportunity can be realized, the link switching frequency is reduced, and the communication continuity and stability can be improved.

The invention of system of observation and monitoring the earth warming and changes in polar ice behavior using LoRa to satellite technology is a system for measuring, observing and monitoring weather and environmental conditions in order to determine the effects of environmental conditions and climate changes on the way ice masses change in the polar regions of the earth. This invention is related to the rocket equipped with several modules for measuring the conditions of the surrounding environment as well as data transmission through the LoraWan protocol to a fixed or deployable station. Also, in this invention, if there is a need to calibrate any of the modules in the meteorological rocket, the central server structure, which is equipped with an artificial intelligence analyzer, can calibrate the device by comparing the arrays received from the surrounding rockets and analyzing the data received from these systems.

The invention relates to the technical field of satellite positioning, and discloses an emergency rescue method and system based on satellite positioning, and the method comprises the steps: obtaining the real-time information of a region and the function information of an emergency unit, dispatching a satellite to carry out image collection and signal linkage, analyzing a satellite image and signal data, and constructing an emergency rescue real-time model; a multi-search scheme is formulated according to the model and issued to each emergency rescue unit, search work is executed, the rescue scheme is dynamically adjusted according to feedback information, and a cyclic execution mechanism is formed. According to the method, real-time and accurate data support is provided through the satellite technology, the efficiency, accuracy and strain capacity of emergency rescue are improved, and the rescue efficiency is improved. Rapid and effective disaster area rescue is ensured, and the problem of poor linkage between a satellite and a ground unit in emergency rescue in the prior art is solved.

The embodiment of the invention provides a bridge monitoring satellite data quality control method based on signal-to-noise ratio grid comparison, and belongs to the technical field of satellites. The method comprises the following steps: carrying out pseudo-range single-point positioning calculation according to an observation value file and a broadcast ephemeris file to obtain observation data of each satellite; performing grid division on the satellite sky map according to a preset elevation angle interval and an azimuth angle interval to obtain a standard grid; on the basis of a standard grid, independently stacking observation data of each observation station to obtain a signal-to-noise ratio grid model corresponding to each observation station; performing preferential fusion according to the signal-to-noise ratio grid models of all the observation stations to obtain a high-quality grid model; performing data comparison on the signal-to-noise ratio grid model of each observation station and the high-quality grid model to obtain an available data area of each observation station; and performing quality control on the current observation data according to the available data area to obtain high-quality data. According to the invention, the observation area which is not subjected to interspersed shielding interference can be identified, and data quality control is realized.

The invention discloses a positioning method and device based on low-orbit satellite opportunity signals and a storage medium. Relates to the technical field of satellites. The method comprises the following steps: extracting corresponding signal arrival angle information and Doppler frequency shift information according to an opportunity signal of a low-orbit satellite under a current epoch; determining orbit information of a low-orbit satellite under the current epoch according to a preset satellite two-line orbit data file and a satellite orbit prediction model; under the condition that the number of the low-orbit satellites is not smaller than the preset number of satellites, coarse positioning information of the receiver is generated according to the signal arrival angle information and the orbit information, the coarse positioning information serves as an initial value of iterative solution in the Doppler positioning process for iterative solution, and final positioning information of the receiver is determined; and under the condition that the number of the low-orbit satellites is smaller than the preset number of satellites, calculating final positioning information of the receiver according to the signal arrival angle information, the Doppler frequency shift information and the orbit information.

The invention provides a memory error simulation method and device based on a satellite-borne intelligent computing system, a medium and a simulator, and relates to the technical field of satellites. The method comprises the following steps: inputting a deep learning neural network engine into a deep learning reasoning program of a satellite-borne intelligent computing system; executing a deep learning reasoning program to read a process page table; based on the DRAM standard file, the DRAM mapping file and the address mapping relation, determining a memory active area of the deep learning neural network engine in the virtual memory model; performing construction processing on the memory active area, constructing an error injection space represented in a bitmap tree form, and determining an error information injection position in the error injection space according to particle flipping error model information and a Monte Carlo random algorithm; and performing reverse translation processing on the physical address in the virtual memory model, and determining a target virtual address of the deep learning reasoning process. And a single-particle upset memory error and a multi-particle upset memory error caused by space radiation can be effectively simulated.

The invention generally relates to the technical field of navigation satellites, and provides a satellite navigation message monitoring system based on inter-satellite measurement. The system is configured to perform the following actions: performing inter-satellite ranging on navigation satellites; and monitoring a satellite navigation message according to an inter-satellite distance measurement result, the satellite navigation message comprising ephemeris parameters and clock difference parameters, the step of monitoring the ephemeris parameters comprises the following steps: calculating a first geometric distance between the first satellite and the second satellite at the current moment according to the ephemeris parameters of the first satellite and the second satellite; calculating a second geometric distance between the first satellite and the second satellite at the current moment according to the inter-satellite distance measurement results of the first satellite and the second satellite; and judging the reasonability of the ephemeris parameter at the current moment by comparing the first geometric distance with the second geometric distance.

The invention discloses a GNSS satellite elastic power real-time detection method and system based on multi-frequency data, and belongs to the technical field of global navigation satellites. The method comprises the following steps: acquiring satellite signal carrier-to-noise ratio data, satellite multi-frequency observation data and satellite ephemeris; calculating a satellite power adjustment monitoring index according to the satellite signal carrier-to-noise ratio data, judging whether the satellite power is adjusted or not according to the satellite power adjustment monitoring index and a preset threshold value, and obtaining the satellite power adjustment time when the satellite power is adjusted; calculating MP combined observation values of different observation codes according to the satellite multi-frequency observation data, and judging the type of satellite power adjustment according to the MP combined observation values when the satellite power is adjusted; and when the satellite power is adjusted, calculating the influence range of the satellite power adjustment according to the satellite ephemeris and the satellite power adjustment time.

The invention relates to the technical field of satellites, in particular to a three-super platform actuator eddy current sensor fault autonomous reconstruction method. Comprising the following steps: according to a parallel mechanism kinematics relationship of each actuator, determining a first relationship between axial displacement measured by an actuator eddy current sensor and a load relative to a six-degree-of-freedom pose of a satellite platform; determining a parallel mechanism kinematics relationship of the fault-free eddy current sensor, and determining a second relationship between the axial displacement and the load measured by the fault-free eddy current sensor and the six-degree-of-freedom pose of the satellite platform; according to the first relation and the second relation, matrix reconstruction is carried out on the remaining fault-free actuator eddy current sensors, and an autonomous reconstruction matrix is obtained; and according to the autonomous reconstruction matrix and the measurement of the fault-free actuator eddy current sensor, obtaining all actuator eddy current measurement values of the actuator where the fault eddy current sensor is located. According to the method, when the eddy current sensor has a fault, the eddy current sensor distribution array is reconstructed, and three-super control is recovered.

The present invention relates to the technical field of communications, and provides a 6G space-air-ground-sea integrated fusion architecture based on software-defined cloud-edge collaboration, comprising: three tiers of cloud nodes from low to high: an edge cloud, a space-based cloud, and a core cloud; the edge cloud comprises 6G-enabled ships based on software-defined networking and mobile edge computing technologies; the space-based cloud comprises low earth orbit satellites based on software-defined satellite technology and low earth orbit satellite constellations connected by means of an inter-satellite link; the core cloud comprises a space-based 6G core network; the edge cloud, the space-based cloud, and the core cloud follow a task offloading mechanism and an information feedback mechanism; the task offloading mechanism is configured to select, on the basis of characteristics of a task, a cloud node of a target tier for task processing; and the information feedback mechanism is configured such that the cloud node of the upper tier sends feedback information to a cloud node of the lower tier, so as to optimize task processing of the lower tier. The present invention achieves fast and flexible networking for a 6G space-air-ground-sea integrated fusion network, thereby realizing efficient utilization and collaborative management and control of resources.

The invention provides a data sending method and device, a data receiving method and device, electronic equipment and a storage medium, and relates to the technical field of satellites. The observation data of multiple satellites are converted into the target data in the set format, and the data length and position corresponding to each satellite in the set format are fixed, so that a receiving end can identify the observation data of each satellite through the target data in the set format, and the observation data of each satellite does not need to occupy extra resources for marking; and moreover, the target data is compressed and then sent, so that the occupation of transmission resources can be further reduced, and the flow consumption is reduced.

The invention relates to the technical field of satellites, and provides a vertical overturning type side plate satellite loading method and device.The device comprises a supporting trolley, an overturning mechanism and a simulated star body structure, the overturning mechanism is arranged on the supporting trolley, a side plate interface adapter plate is arranged on the overturning mechanism, and the simulated star body structure is arranged on the side plate interface adapter plate; the side plate interface adapter plate is used for fixing a simulated docking side plate, the supporting trolley can adjust the height and the pose of the simulated docking side plate, and the turnover mechanism can drive the simulated docking side plate to rotate so as to be precisely docked with the simulated star structure or leave the simulated star structure. According to the invention, accurate butt joint of vertical side turning plates of side plates of satellites of different models can be realized, interference and space interference of products are avoided, and the cable length can be effectively controlled for the side plates with relatively large height dimensions and relatively small width dimensions. And meanwhile, the side plates are overturned and butted, so that the operation risk is effectively reduced, and the workload is greatly reduced.

The present invention discloses a low-orbit satellite communication link switching system based on machine learning, which belongs to the field of low-orbit satellite technology and includes: a data collection module, configured to collect real-time data of low-orbit satellite communication links; a data processing module, configured to process real-time data of low-orbit satellite communication links; a model training module, configured to predict changes in the quality of low-orbit satellite communication links and determine the prediction results of the quality of low-orbit satellite communication links; a switching decision module, configured to select the best switching time and target satellite according to the prediction results; and a switching execution module, configured to optimize the switching process of low-orbit satellite communication links. The present invention solves the problem that the existing low-orbit satellite communication links cannot be effectively switched based on machine learning, resulting in low continuity and stability of satellite communications. The present invention can achieve accurate prediction of link status and precise grasp of switching timing, reduce the number of link switching times, and improve communication continuity and stability.

The invention provides an adjacent satellite adjusting method and device based on satellite damage reconstruction, and relates to the technical field of satellites, whether a target satellite is damaged or not is judged according to telemetry data of the target satellite, and if it is judged that the target satellite is damaged, the adjacent satellite is adjusted according to a preset double-row element and an orbit model. Determining the real-time position data of the target satellite and the real-time position data of the adjacent satellites of the target satellite according to the real-time position data of the target satellite, the double-row element number of the target satellite and the double-row element number of the adjacent satellites of the target satellite; determining a mean anomaly change value required by the adjacent satellite to move from the current position to the target position, updating the number of double rows of the adjacent satellite according to the mean anomaly change value, and adjusting the orbit position of the adjacent satellite based on the updated number of double rows; according to the method, satellite damage reconstruction can be quickly realized at low cost through adjacent satellite adjustment.