Information transmission method and low-orbit satellite unmanned aerial vehicle for emergency disaster relief

Abstract

The invention provides an information transmission method and a low-earth-orbit satellite unmanned aerial vehicle for emergency disaster relief, the low-earth-orbit satellite unmanned aerial vehicle is used for providing communication service for multiple terminal devices, and the method comprises the following steps: scanning a surrounding environment to obtain environment data, and obtaining orbit data of multiple low-earth-orbit satellites; the request server determines a space interaction relation according to the environment data and the track data; determining a plurality of pre-access low earth orbit satellites from the low earth orbit satellites according to the spatial interaction relationship, and determining pre-access moments of the pre-access low earth orbit satellites; at the pre-access moment, carrying out transmission quality evaluation on an information transmission channel pre-accessed to the low earth orbit satellite to obtain a channel quality score; according to the channel quality score, determining a target low-earth-orbit satellite from the pre-accessed low-earth-orbit satellites, and establishing communication connection with the target low-earth-orbit satellite; and generating an information encryption parameter according to the spatial interaction relationship, and encrypting communication data of the terminal equipment according to the information encryption parameter and transmitting the encrypted communication data to the target low-orbit satellite.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an information transmission method and a low-orbit satellite drone for emergency rescue. Background Art

[0002] At present, in the context of frequent natural disasters, ground communication facilities are often the first to be damaged, which not only seriously affects the emergency rescue work in the disaster area, but also brings huge challenges to post-disaster reconstruction. In order to alleviate this problem, in recent years, the application of tethered drones as a temporary base station has gradually attracted attention. Tethered drones are connected to the ground power supply through cables and can hover in the air for a long time to provide continuous communication services, greatly expanding the communication coverage of the disaster area. However, due to the lack of support from ground communication facilities, tethered drones still face many limitations in practical applications. On the one hand, the signal transmission rate is low and cannot meet the needs of a large number of users at the same time. Especially in emergency situations after a disaster, the communication demand surges and the existing technology is difficult to guarantee high-quality communication services. On the other hand, signal stability is also an issue that needs to be solved urgently. Summary of the invention

[0003] The present application provides an information transmission method and a low-orbit satellite drone for emergency rescue, which are used to improve the communication service quality of emergency rescue.

[0004] In a first aspect, an embodiment of the present application provides an information transmission method, which is applied to a low-orbit satellite drone, wherein the low-orbit satellite drone is used to provide communication services to multiple terminal devices, and the method includes: Scan the surrounding environment, obtain environmental data, and obtain orbital data of multiple low-orbit satellites; Sending the environmental data and the orbital data to a server, so that the server determines a spatial interaction relationship according to the environmental data and the orbital data; Determining a plurality of pre-access low-orbit satellites from the low-orbit satellites according to the spatial interaction relationship, and determining pre-access times of the pre-access low-orbit satellites; According to the pre-access time, a transmission quality evaluation is performed on the information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score; Determining a target low-orbit satellite from the pre-access low-orbit satellites according to the channel quality score, and establishing a communication connection with the target low-orbit satellite; Information encryption parameters are generated according to the spatial interaction relationship, and communication data of the terminal device is encrypted and transmitted to the target low-orbit satellite according to the information encryption parameters.

[0005] In a second aspect, an embodiment of the present application provides a low-orbit satellite drone for emergency rescue, characterized in that the low-orbit satellite drone for emergency rescue provides communication services to multiple terminal devices, and the low-orbit satellite drone for emergency rescue includes: A data acquisition module is used to scan the surrounding environment, obtain environmental data, and obtain orbital data of multiple low-orbit satellites based on current position data; A service request module, used for sending the environmental data and the orbital data to a server, so that the environmental data and the orbital data determine and reply a flight path matrix and a spatial interaction relationship; A time determination module, used to determine a plurality of pre-access low-orbit satellites from the low-orbit satellite UAV according to the spatial interaction relationship, and determine the pre-access time of the pre-access low-orbit satellite; A communication evaluation module, configured to perform a transmission quality evaluation on the information transmission channel of the pre-access low-orbit satellite according to the pre-access time to obtain a channel quality score; a communication establishing module, configured to determine a target low-orbit satellite from the pre-access low-orbit satellites according to the channel quality score, and establish a communication connection with the target low-orbit satellite; An information transmission module is used to generate information encryption parameters according to the spatial interaction relationship, and encrypt and transmit the communication data between the terminal device and the target low-orbit satellite according to the information encryption parameters.

[0006] In a third aspect, an embodiment of the present application provides an electronic device, the electronic device comprising a memory and a processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the information transmission method as described in any one of the embodiments of the present application when executing the computer program.

[0007] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor enables the processor to implement an information transmission method as described in any one of the embodiments of the present application.

[0008] An embodiment of the present application provides an information transmission method, which is applied to a low-orbit satellite drone, and the low-orbit satellite drone is used to provide communication services to multiple terminal devices. The method includes: scanning the surrounding environment to obtain environmental data, and obtaining orbital data of multiple low-orbit satellites; sending the environmental data and orbital data to a server, so that the server determines a spatial interaction relationship based on the environmental data and the orbital data; determining multiple pre-access low-orbit satellites from the low-orbit satellites based on the spatial interaction relationship, and determining a pre-access time of the pre-access low-orbit satellite; based on the pre-access time, performing a transmission quality evaluation on an information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score; based on the channel quality score, determining a target low-orbit satellite from the pre-access low-orbit satellites, and establishing a communication connection with the target low-orbit satellite; generating information encryption parameters based on the spatial interaction relationship, and encrypting the communication data of the terminal device based on the information encryption parameters for transmission to the target low-orbit satellite. In the above method, the low-orbit satellite drone scans the surrounding environment and obtains environmental data, and simultaneously obtains orbital data of multiple low-orbit satellites and uploads them to the server. The server determines the spatial interaction relationship based on these data, accurately calculates the relative position and signal path of the drone and each low-orbit satellite, determines multiple pre-access low-orbit satellites and their pre-access times from multiple low-orbit satellites, ensures that the communication connection is established at the best time, conducts quality assessment on the information transmission channel of the pre-access low-orbit satellite, selects the target low-orbit satellite with the highest transmission quality, improves the signal stability and transmission rate, generates information encryption parameters based on the spatial interaction relationship, encrypts and transmits the communication data of the terminal device, ensures the security of the data, not only improves the reliability and efficiency of communication, but also reduces the dependence on ground communication facilities, and provides efficient and stable communication services for the disaster area. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0010] Figure 1 A schematic flow chart of an information transmission method provided in an embodiment of the present application; Figure 2 A schematic block diagram of a low-orbit satellite drone for emergency rescue provided in an embodiment of the present application. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0013] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0014] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0015] Description of low-orbit satellite network: The low-orbit satellite network is composed of a large number of small communication satellites with an orbital altitude of about 500-1200 kilometers. Compared with traditional communication satellites, it has the advantages of wide coverage, low transmission delay (20-40 milliseconds), and high communication rate (above 100Mbps). It can provide high-speed and stable communication services for low-orbit satellite drones worldwide. Low-orbit satellite drones are equipped with low-orbit satellite communication modules and can communicate with satellite Internet links. Low-orbit satellite drones do not require ground communication support and can also provide high-speed communication channels. At the same time, through signal conversion, ground terminal equipment that is not equipped with low-orbit satellite communication modules can also enjoy the communication services of low-orbit satellites.

[0016] See also Figure 1 , Figure 1 The embodiment of the present application also provides a schematic flow chart of an information transmission method. Figure 1 As shown, the specific steps of the information transmission method include: S101-S106.

[0017] S101, scan the surrounding environment, obtain environmental data, and obtain orbital data of multiple low-orbit satellites.

[0018] Exemplarily, the low-orbit satellite drone first needs to conduct a comprehensive scan of the surrounding environment to obtain detailed environmental data, specifically three-dimensional point cloud data. These three-dimensional point cloud data include but are not limited to terrain information, building distribution, meteorological conditions (such as wind speed, humidity, temperature), etc. The acquisition of environmental data can be achieved through a variety of sensors, such as LiDAR, cameras, meteorological sensors, etc. These sensors can provide high-precision three-dimensional terrain maps and real-time meteorological information to help low-orbit satellite drones understand the complexity of the current environment. At the same time, low-orbit satellite drones also need to obtain orbital data of multiple low-orbit satellites from ground stations or satellite networks. Orbital data includes the current position, speed, orbital parameters, etc. of the satellite, which are crucial for subsequent communication optimization. By integrating environmental data and orbital data, low-orbit satellite drones can provide comprehensive basic information for subsequent communication optimization.

[0019] S102: Send the environment data and the orbit data to the server, so that the server determines the spatial interaction relationship according to the environment data and the orbit data.

[0020] Exemplarily, the low-orbit satellite drone sends the collected environmental data and orbital data to the central server. After receiving this data, the server will perform complex calculations and analysis to determine the spatial interaction relationship between the low-orbit satellite drone and the low-orbit satellite. The spatial interaction relationship refers to the relative relationship between the low-orbit satellite drone and each low-orbit satellite at different times and locations, including signal propagation paths, signal strengths, interference sources, etc. The server calculates the communication quality between the low-orbit satellite drone and each low-orbit satellite at different locations and times through a preset signal propagation model and algorithm, combined with terrain information and satellite orbit data. This process not only takes into account static terrain factors, but also dynamic meteorological conditions and satellite motion trajectories to ensure the accuracy and reliability of the calculation results. By determining the spatial interaction relationship, the server provides a scientific basis for subsequent communication optimization.

[0021] S103: Determine a plurality of pre-access low-orbit satellites from the low-orbit satellites according to the spatial interaction relationship, and determine pre-access times of the pre-access low-orbit satellites.

[0022] Exemplarily, in this step, the server selects several pre-access low-orbit satellites from multiple low-orbit satellites based on the spatial interaction relationship determined previously. The selection of pre-access low-orbit satellites is based on the evaluation of communication quality, and those satellites with the highest communication quality with the low-orbit satellite drone within a specific time period are selected. At the same time, the server will also determine the best pre-access time for these pre-access low-orbit satellites. The pre-access time refers to the best time point for the low-orbit satellite drone to establish a communication connection with the low-orbit satellite, usually at the moment when the signal is strongest and the interference is minimal. By determining the pre-access time, the low-orbit satellite drone can establish a connection with the low-orbit satellite at the best time, thereby improving the stability and efficiency of communication. This process not only takes into account the communication quality of a single satellite, but also takes into account the coordination between multiple satellites, ensuring the optimization of the overall communication system.

[0023] S104: According to the pre-access time, a transmission quality assessment is performed on the information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score.

[0024] In this step, the low-orbit satellite drone conducts a transmission quality assessment on the information transmission channel of the selected pre-access low-orbit satellite according to the pre-access time. Transmission quality assessment includes multiple indicators, such as signal strength, signal-to-noise ratio, bit error rate, etc. The low-orbit satellite drone calculates the channel quality score of each pre-access low-orbit satellite by monitoring these indicators in real time. The channel quality score reflects the communication quality between the low-orbit satellite drone and the low-orbit satellite at a specific point in time. This evaluation process can be achieved through built-in communication modules and algorithms to ensure the accuracy and real-time nature of the evaluation results. Through transmission quality assessment, the low-orbit satellite drone can select the satellite with the highest communication quality, thereby improving the stability and transmission rate of communication. This step is a key link in ensuring communication quality and provides a reliable basis for subsequent communication connections.

[0025] S105. Determine a target low-orbit satellite from pre-accessed low-orbit satellites according to the channel quality score, and establish a communication connection with the target low-orbit satellite.

[0026] In this step, the LEO satellite drone selects one or more target LEO satellites from multiple pre-accessed LEO satellites based on the channel quality scores obtained previously. The selection of target LEO satellites is based on the channel quality scores, and those satellites with the highest communication quality are selected. Once the target LEO satellite is determined, the LEO satellite drone will establish a communication connection with it. The process of establishing a communication connection includes steps such as synchronization, handshake, and data transmission to ensure that both parties can exchange data efficiently and stably. By selecting the target LEO satellite with the highest communication quality, the LEO satellite drone can ensure high-quality communication in complex environments and improve the success rate and efficiency of mission execution. This step is the core of the entire communication optimization process and directly determines the effectiveness and reliability of communication.

[0027] S106. Generate information encryption parameters according to the spatial interaction relationship, and encrypt the communication data of the terminal device according to the information encryption parameters and transmit it to the target low-orbit satellite.

[0028] Exemplarily, in this step, the low-orbit satellite drone generates information encryption parameters based on the previously determined spatial interaction relationship. Information encryption parameters are a series of keys and algorithm parameters generated to ensure the security of communication data. These parameters are based on various factors in the spatial interaction relationship, such as the relative position of the low-orbit satellite drone and the low-orbit satellite, the signal path, etc., to ensure the uniqueness and security of the encryption parameters. After generating the encryption parameters, the low-orbit satellite drone will use these parameters to encrypt the communication data of the terminal device. The encrypted data is transmitted through the target low-orbit satellite, ensuring the security and confidentiality of the data during transmission. Through this step, the low-orbit satellite drone not only improves the reliability of communication, but also enhances the security of communication data, preventing data from being stolen or tampered with. This process is a key link in ensuring the overall security of the communication system.

[0029] An embodiment of the present application provides an information transmission method, which is applied to a low-orbit satellite drone, and the low-orbit satellite drone is used to provide communication services to multiple terminal devices. The method includes: scanning the surrounding environment to obtain environmental data, and obtaining orbital data of multiple low-orbit satellites; sending the environmental data and orbital data to a server, so that the server determines a spatial interaction relationship based on the environmental data and the orbital data; determining multiple pre-access low-orbit satellites from the low-orbit satellites based on the spatial interaction relationship, and determining a pre-access time of the pre-access low-orbit satellite; based on the pre-access time, performing a transmission quality evaluation on an information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score; based on the channel quality score, determining a target low-orbit satellite from the pre-access low-orbit satellites, and establishing a communication connection with the target low-orbit satellite; generating information encryption parameters based on the spatial interaction relationship, and encrypting the communication data of the terminal device based on the information encryption parameters for transmission to the target low-orbit satellite. In the above method, the low-orbit satellite drone scans the surrounding environment and obtains environmental data, and simultaneously obtains orbital data of multiple low-orbit satellites and uploads them to the server. The server determines the spatial interaction relationship based on these data, accurately calculates the relative position and signal path of the drone and each low-orbit satellite, determines multiple pre-access low-orbit satellites and their pre-access times from multiple low-orbit satellites, ensures that the communication connection is established at the best time, conducts quality assessment on the information transmission channel of the pre-access low-orbit satellite, selects the target low-orbit satellite with the highest transmission quality, improves the signal stability and transmission rate, generates information encryption parameters based on the spatial interaction relationship, encrypts and transmits the communication data of the terminal device, ensures the security of the data, not only improves the reliability and efficiency of communication, but also reduces the dependence on ground communication facilities, and provides efficient and stable communication services for the disaster area.

[0030] In order to more clearly introduce the technical solution of the present application, the technical solution of the present application will be introduced through specific embodiments below. It should be noted that the specific embodiments are used to expand the technical solution of the present application, but are not intended to limit the present application.

[0031] In some embodiments, environmental data and orbital data are sent to a server so that the server environmental data and orbital data determine and reply to spatial interaction relationships, including: sending environmental data and orbital data to the server through the currently connected target low-orbit satellite, so that the server performs the following processing steps: clustering the environmental data to obtain an accurate terrain model; projecting the orbital data onto the terrain model to obtain a satellite coverage area map; rasterizing the satellite coverage area map to obtain a three-dimensional grid map; determining a flyable space based on the three-dimensional grid map, and determining multiple signal access areas based on the flyable space; and obtaining a spatial interaction relationship based on the signal access area and the orbital data.

[0032] The above technical solution sends environmental data and orbital data to the server, which clusters the environmental data to generate an accurate terrain model, and projects the orbital data onto the terrain model to generate a satellite coverage area map. By rasterizing the satellite coverage area map, a three-dimensional grid map is obtained, and then the flyable space and multiple signal access areas are determined. Based on the signal access area and orbital data, the server calculates the spatial interaction relationship to ensure that the low-orbit satellite drone flies in the best signal area, improving the stability of communication and the transmission rate.

[0033] In some embodiments, when the server obtains the spatial interaction relationship based on the signal access area and the orbital data, it is specifically used to perform the following steps: S1021-S1026.

[0034] S1021. Preprocess and enhance the orbit data to obtain a high-precision orbit data set.

[0035] For example, the latest orbital data of low-orbit satellites is obtained (usually in TLE format). The raw TLE data is processed using a specially designed data enhancement algorithm to generate a high-precision orbital dataset containing more time points. This step not only improves the temporal resolution of the data, but also expands the prediction range through interpolation and extrapolation techniques. At the same time, a perturbation model is introduced to simulate the impact of factors such as atmospheric drag and solar radiation pressure on the orbit, making the data closer to the actual situation. This enhanced dataset will serve as the basis for subsequent steps to provide richer and more accurate input information for the KOA algorithm and neural network. S1022. Using the improved Kepler optimization algorithm, perform preliminary spatial relationship calculations on the signal access area based on the high-precision orbit data set to obtain ground-to-air interaction information.

[0036] For example, the enhanced orbit data generated in the first step is used to apply the improved KOA algorithm to calculate the preliminary spatial relationship between the ground terminal and each low-orbit satellite. The innovation here is to introduce an adaptive weight mechanism to dynamically adjust the parameter weights in the algorithm based on the historical performance data of the satellite. The calculation process takes into account factors such as the earth's rotation and atmospheric refraction, and outputs multi-dimensional information including satellite position, speed, visibility window, signal propagation delay, etc. At the same time, a parallel computing framework is designed to significantly improve the computing efficiency of large-scale satellite networks. The output of this step will provide key feature input for the next step of neural network prediction.

[0037] S1023. Construct a bidirectional temporal convolutional neural network prediction model based on ground-space interaction information, wherein the bidirectional temporal convolutional neural network prediction model includes: a multi-layer bidirectional temporal convolutional layer, an attention mechanism layer, and a fully connected layer.

[0038] For example, the input features include the satellite's historical orbit data, current spatial relationship data, and the location information of the ground terminal. The model training uses a custom loss function that comprehensively considers the position prediction error, signal quality prediction, and computational efficiency. The output of this step is a model that can accurately predict the satellite position and communication quality in the future.

[0039] S1024. Based on a multi-layer bidirectional temporal convolution layer, multiple one-dimensional convolution kernels of different sizes are applied to perform convolution operations on the ground-space interaction information to obtain multi-scale features. Forward and reverse causal convolutions are performed on the multi-scale features to obtain bidirectional time series information. The bidirectional time series information is fused through residual connection and layer normalization to obtain interaction regularity features.

[0040] For example, multi-layer bidirectional temporal convolutional layers perform convolution operations on ground-space interaction information through one-dimensional convolution kernels of different sizes to extract multi-scale features. These features contain both local details and global information, which helps to capture subtle changes in satellite motion patterns. Forward and reverse causal convolution operations ensure that the model can understand past and future trends at the same time, which is crucial for predicting satellite positions and communication quality. The application of residual connections and layer normalization techniques ensures the effective transmission of information and numerical stability in deep networks, prevents gradient vanishing or exploding problems, and improves the training efficiency and generalization ability of the model.

[0041] S1025. Based on the attention mechanism layer, the self-attention weight matrix of the interaction regularity feature is calculated to obtain the time correlation score, and the time correlation score is used to perform weighted summation on the interaction regularity feature to obtain the weighted interaction regularity feature.

[0042] For example, the attention mechanism layer calculates the self-attention weight matrix of the interaction law features to identify which features at which time points are more important for prediction. The time correlation score reflects the strength of the relationship between different time points, allowing the model to focus on the most representative features, thereby more accurately capturing the long-term and short-term dependencies in time series data. After weighted summing the interaction law features using the time correlation score, the weighted features obtained can better reflect the essential laws of ground-air interaction, providing strong support for the final prediction of spatial interaction relationships.

[0043] S1026. Based on the fully connected layer, the weighted interaction regularity features are flattened into a one-dimensional feature vector, and the one-dimensional feature vector is nonlinearly transformed through a multi-layer perceptron to obtain a comprehensive prediction feature. An activation function is applied to the comprehensive prediction feature to obtain a spatial interaction relationship.

[0044] For example, the role of the connection layer is to further abstract and integrate the weighted interaction regularity features. By flattening them into a one-dimensional feature vector, the limitation of the spatial dimension is eliminated, so that information at different time points can be compared and combined on the same plane. The multi-layer perceptron maps complex spatiotemporal features to the prediction target through a series of nonlinear transformations, enhancing the expressive power of the model. The application of the activation function introduces nonlinear factors to help the model learn the complex mapping relationship between input data and output predictions, and the final output of the spatial interaction relationship is more accurate and reliable.

[0045] In some embodiments, multiple pre-access low-orbit satellites are determined from a low-orbit satellite drone based on spatial interaction relationships, and pre-access times of the pre-access low-orbit satellites are determined, including: performing space-time mapping processing on the spatial interaction relationship to obtain a four-dimensional space-time relationship matrix; performing visibility analysis processing on the low-orbit satellites according to the four-dimensional space-time relationship matrix to obtain a visible satellite list; performing Doppler frequency shift calculation processing on the visible satellite list to obtain relative motion parameters; determining the satellite future position sequence according to the relative motion parameters; performing time window division processing on the satellite future position sequence to obtain an optimal communication time window; and performing priority sorting processing on the visible satellites according to the optimal communication time window to obtain a pre-access low-orbit satellite list and its corresponding pre-access time.

[0046] Exemplarily, a four-dimensional space-time relationship matrix is ​​generated through space-time mapping processing, and visibility analysis of low-orbit satellites is performed to obtain a list of visible satellites. The Doppler frequency shift of the visible satellite list is then calculated to obtain relative motion parameters, and the future position sequence of the satellites is determined accordingly. The optimal communication time window is obtained by time window division, and the visible satellites are prioritized to generate a list of pre-access low-orbit satellites and their pre-access times. This series of steps ensures that the drone establishes a communication connection with the low-orbit satellite at the optimal time and position, improves the stability and transmission rate of communication, and effectively solves the problem of unstable signal transmission and low rate of tethered drones in natural disasters.

[0047] In some embodiments, according to the pre-access time, a transmission quality assessment is performed on the information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score, including: measuring the signal strength of the pre-access low-orbit satellite according to the pre-access time to obtain a signal strength data sequence; performing Fourier transform processing on the signal strength data sequence to obtain a frequency domain feature vector; performing multipath effect analysis processing on the channel according to the frequency domain feature vector to obtain a multipath attenuation coefficient; performing signal-to-noise ratio estimation processing on the multipath attenuation coefficient to obtain a channel capacity estimate; calculating a bit error rate prediction curve of the pre-access low-orbit satellite according to the channel capacity estimate; and performing weighted integration processing on the bit error rate prediction curve to obtain a channel quality score.

[0048] Exemplarily, by measuring the signal strength of the pre-access low-orbit satellite, a signal strength data sequence is generated, and a Fourier transform is performed on it to obtain a frequency domain feature vector. By performing multipath effect analysis on the frequency domain feature vector, calculating the multipath attenuation coefficient, and then estimating the signal-to-noise ratio, an estimated channel capacity is obtained. Based on the channel capacity estimate, the bit error rate prediction curve of the pre-access low-orbit satellite is calculated, and through weighted integration processing, the channel quality score is finally obtained. This series of steps ensures a comprehensive evaluation of the information transmission channel, improves the stability and transmission rate of communication, and effectively solves the problems of unstable signal transmission and low rate of tethered drones in natural disasters.

[0049] In some embodiments, a target low-orbit satellite is determined from pre-access low-orbit satellites based on a channel quality score, and a communication connection is established with the target low-orbit satellite, including: normalizing the channel quality score to obtain a standardized quality index; fuzzy clustering the pre-access low-orbit satellites based on the standardized quality index to obtain multiple satellite quality levels; determining a weight coefficient based on the satellite quality level; performing comprehensive scoring processing on the pre-access low-orbit satellites based on the weight coefficient to determine the target low-orbit satellite; determining an available communication parameter set of the target low-orbit satellite based on a preset communication protocol; and establishing a communication connection with the target low-orbit satellite based on the available communication parameter set.

[0050] The above technical solution solves the problem of low signal transmission rate and poor signal stability of traditional tethered drones communicating with the ground during natural disasters. In some embodiments, information encryption parameters are generated according to the spatial interaction relationship, and communication data between a terminal device and a target low-orbit satellite is encrypted and transmitted according to the information encryption parameters, including: performing singular value decomposition processing on the spatial interaction relationship to obtain a feature vector set; generating a dynamic key sequence according to the feature vector set and a preset pseudo-random number generator; inputting the dynamic key sequence into a preset random quantum number generator to obtain a quantum key; performing distributed encryption storage on the communication data according to the quantum key to obtain multiple encrypted data blocks; and simultaneously transmitting multiple encrypted data blocks through multiple preset transmission paths.

[0051] Exemplarily, by performing singular value decomposition on the spatial interaction relationship, a feature vector set is obtained, and a dynamic key sequence is generated in combination with a pseudo-random number generator. The dynamic key sequence is processed by a random quantum number generator to generate a quantum key. The quantum key is used to perform distributed encrypted storage of communication data and generate multiple encrypted data blocks. These encrypted data blocks are transmitted simultaneously through multiple preset transmission paths, ensuring the security and reliability of the data during transmission. This series of steps not only improves the encryption strength of the communication data, but also enhances the anti-interference capability through multi-path transmission, effectively solving the security and stability problems of communication data of tethered drones in natural disasters.

[0052] See also Figure 2 , Figure 2 An embodiment of the present application also provides a schematic block diagram of a low-orbit satellite drone for emergency rescue, and the low-orbit satellite drone 200 for emergency rescue is used to execute the aforementioned information transmission method.

[0053] like Figure 2 As shown, the low-orbit satellite drone 200 for emergency rescue includes: a data acquisition module 201, a service request module 202, a time determination module 203, a communication evaluation module 204, a communication establishment module 205 and an information transmission module 206.

[0054] The data acquisition module 201 is used to scan the surrounding environment to obtain environmental data, and to obtain orbital data of multiple low-orbit satellites based on current position data.

[0055] The service request module 202 is used to send the environment data and the orbit data to the server, so that the environment data and the orbit data determine and reply the flight path matrix and the spatial interaction relationship.

[0056] The time determination module 203 is used to determine multiple pre-access low-orbit satellites from the low-orbit satellite UAV according to the spatial interaction relationship, and determine the pre-access time of the pre-access low-orbit satellite.

[0057] The communication evaluation module 204 is used to evaluate the transmission quality of the information transmission channel of the pre-access low-orbit satellite according to the pre-access time to obtain a channel quality score.

[0058] The communication establishing module 205 is used to determine a target low-orbit satellite from pre-accessed low-orbit satellites according to the channel quality score, and establish a communication connection with the target low-orbit satellite.

[0059] The information transmission module 206 is used to generate information encryption parameters according to the spatial interaction relationship, and encrypt and transmit the communication data between the terminal device and the target low-orbit satellite according to the information encryption parameters.

[0060] An embodiment of the present application provides an electronic device, which includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement any information transmission method in the embodiments of the present application when executing the computer program.

[0061] An embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements any information transmission method as described in the embodiments of the present application.

[0062] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. An information transmission method, characterized in that: Applied to a low-orbit satellite drone, the low-orbit satellite drone is used to provide communication services to multiple terminal devices, and the method includes: Scan the surrounding environment, obtain environmental data, and obtain orbital data of multiple low-orbit satellites; Sending the environmental data and the orbital data to a server, so that the server determines a spatial interaction relationship according to the environmental data and the orbital data; Determining a plurality of pre-access low-orbit satellites from the low-orbit satellites according to the spatial interaction relationship, and determining pre-access times of the pre-access low-orbit satellites; According to the pre-access time, a transmission quality evaluation is performed on the information transmission channel of the pre-access low-orbit satellite to obtain a channel quality score; Determining a target low-orbit satellite from the pre-access low-orbit satellites according to the channel quality score, and establishing a communication connection with the target low-orbit satellite; Information encryption parameters are generated according to the spatial interaction relationship, and communication data of the terminal device is encrypted and transmitted to the target low-orbit satellite according to the information encryption parameters.

2. The information transmission method according to claim 1, characterized in that: The step of sending the environment data and the orbital data to a server so that the server determines and responds to a spatial interaction relationship between the environment data and the orbital data includes: The environment data and the orbit data are sent to the server through the currently connected target low-orbit satellite, so that the server performs the following processing steps: Performing clustering processing on the environmental data to obtain an accurate terrain model; Projecting the orbital data onto the terrain model to obtain a satellite coverage area map; Performing rasterization processing on the satellite coverage area map to obtain a three-dimensional raster map; Determine a flyable space according to the three-dimensional grid map, and determine a plurality of signal access areas according to the flyable space; The spatial interaction relationship is obtained according to the signal access area and the orbital data.

3. The information transmission method according to claim 2, characterized in that: When the server executes the step of obtaining the spatial interaction relationship according to the signal access area and the track data, the server is specifically configured to execute: Preprocessing and enhancing the orbit data to obtain a high-precision orbit data set; Using an improved Kepler optimization algorithm, a preliminary spatial relationship calculation is performed on the signal access area according to the high-precision orbit data set to obtain ground-air interaction information; Constructing a bidirectional temporal convolutional neural network prediction model based on the ground-air interaction information, wherein the bidirectional temporal convolutional neural network prediction model includes: a multi-layer bidirectional temporal convolutional layer, an attention mechanism layer, and a fully connected layer; Based on the multi-layer bidirectional temporal convolution layer, a plurality of one-dimensional convolution kernels of different sizes are applied to the ground-air interaction information to perform convolution operations to obtain multi-scale features, and forward and reverse causal convolutions are performed on the multi-scale features to obtain bidirectional time series information; the bidirectional time series information is fused through residual connection and layer normalization to obtain interaction regularity features; Based on the attention mechanism layer, a self-attention weight matrix of the interaction regularity feature is calculated to obtain a time correlation score, and the interaction regularity feature is weighted and summed using the time correlation score to obtain a weighted interaction regularity feature; Based on the fully connected layer, the weighted interaction regularity features are flattened into a one-dimensional feature vector, and the one-dimensional feature vector is nonlinearly transformed through a multi-layer perceptron to obtain a comprehensive prediction feature, and an activation function is applied to the comprehensive prediction feature to obtain the spatial interaction relationship.

4. The information transmission method according to claim 1, characterized in that: The step of determining a plurality of pre-access low-orbit satellites from the low-orbit satellite UAV according to the spatial interaction relationship, and determining the pre-access time of the pre-access low-orbit satellite, comprises: Performing space-time mapping processing on the spatial interaction relationship to obtain a four-dimensional space-time relationship matrix; Performing visibility analysis on the low-orbit satellites according to the four-dimensional space-time relationship matrix to obtain a visible satellite list; Performing Doppler frequency shift calculation processing on the visible satellite list to obtain relative motion parameters; Determining a sequence of future satellite positions based on the relative motion parameters; Performing time window division processing on the future position sequence of the satellite to obtain an optimal communication time window; The visible satellites are prioritized according to the optimal communication time window to obtain a list of pre-access low-orbit satellites and their corresponding pre-access times.

5. The information transmission method according to claim 1, characterized in that: The step of performing transmission quality evaluation on the information transmission channel of the pre-access low-orbit satellite according to the pre-access time to obtain a channel quality score includes: Measuring the signal strength of the pre-access low-orbit satellite according to the pre-access time to obtain a signal strength data sequence; Performing Fourier transform processing on the signal strength data sequence to obtain a frequency domain feature vector; Perform multipath effect analysis on the channel according to the frequency domain feature vector to obtain a multipath attenuation coefficient; Performing signal-to-noise ratio estimation processing on the multipath attenuation coefficient to obtain a channel capacity estimation value; Calculating a bit error rate prediction curve of the pre-access low-orbit satellite according to the channel capacity estimation value; A weighted integration process is performed on the bit error rate prediction curve to obtain the channel quality score.

6. The information transmission method according to claim 1, characterized in that: The step of determining a target low-orbit satellite from the pre-access low-orbit satellites according to the channel quality score, and establishing a communication connection with the target low-orbit satellite comprises: Normalizing the channel quality scores to obtain standardized quality indicators; Performing fuzzy clustering on the pre-access low-orbit satellites according to the standardized quality indicators to obtain a plurality of satellite quality levels; Determining a weight coefficient according to the satellite quality level; Performing comprehensive scoring processing on the pre-access low-orbit satellites according to the weight coefficients to determine the target low-orbit satellite; Determining a set of available communication parameters of the target low-orbit satellite according to a preset communication protocol; A communication connection is established with the target low-orbit satellite according to the available communication parameter set.

7. The information transmission method according to claim 1, characterized in that: Generating information encryption parameters according to the spatial interaction relationship, and encrypting and transmitting communication data between the terminal device and the target low-orbit satellite according to the information encryption parameters, includes: Performing singular value decomposition processing on the spatial interaction relationship to obtain a feature vector set; Generate a dynamic key sequence according to the feature vector set and a preset pseudo-random number generator; Inputting the dynamic key sequence into a preset random quantum number generator to obtain a quantum key; Performing distributed encryption storage on the communication data according to the quantum key to obtain a plurality of encrypted data blocks; The plurality of encrypted data blocks are transmitted simultaneously through a plurality of preset transmission paths.

8. A low-orbit satellite drone for emergency rescue, characterized in that: The low-orbit satellite drone for emergency rescue provides communication services to multiple terminal devices, and the low-orbit satellite drone for emergency rescue includes: A data acquisition module is used to scan the surrounding environment, obtain environmental data, and obtain orbital data of multiple low-orbit satellites based on current position data; A service request module, used for sending the environmental data and the orbital data to a server, so that the environmental data and the orbital data determine and reply a flight path matrix and a spatial interaction relationship; A time determination module, used to determine a plurality of pre-access low-orbit satellites from the low-orbit satellite UAV according to the spatial interaction relationship, and determine the pre-access time of the pre-access low-orbit satellite; A communication evaluation module, configured to perform a transmission quality evaluation on the information transmission channel of the pre-access low-orbit satellite according to the pre-access time to obtain a channel quality score; a communication establishing module, configured to determine a target low-orbit satellite from the pre-access low-orbit satellites according to the channel quality score, and establish a communication connection with the target low-orbit satellite; An information transmission module is used to generate information encryption parameters according to the spatial interaction relationship, and encrypt and transmit the communication data between the terminal device and the target low-orbit satellite according to the information encryption parameters.

Images