Ship-borne satellite communication blind area self-adaptive optimization system

Abstract

The self-adaptive dynamic optimization system comprises a plurality of key modules, a signal acquisition and monitoring module receives signals through a multi-band antenna, acquires ship and environment data and then transmits the ship and environment data to an analysis and decision module, and the analysis and decision module judges the condition of a blind area through an intelligent algorithm, formulates a strategy and issues an instruction; the antenna adaptive adjustment unit regulates and controls antenna parameters and detects and corrects when encountering obstacles; the communication link intelligent switching unit ensures stable switching of links; the data dynamic optimization processing module optimizes transmission; the power management and energy-saving module performs intelligent power management; and the man-machine interaction and early warning module realizes information interaction and storage. The problem of a ship-borne communication blind area is solved, the system stability is enhanced, the energy efficiency is improved, and marine navigation, operation and scheduling are guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of satellite communication systems, and in particular to a blind area adaptive dynamic optimization system for shipborne satellite communication. Background Art

[0002] In many ocean-related fields such as marine transportation, marine resource development, and marine scientific research, shipborne satellite communications play a vital role and are a key means of ensuring information exchange between ships and land command centers, other ships or offshore facilities. However, existing shipborne satellite communication technology faces many severe challenges.

[0003] On the one hand, satellite communications have blind spot problems. Due to the characteristics of satellite orbit distribution and the influence of the earth's curvature, ships often enter blind spots that cannot be covered by satellite communication signals during navigation, especially in high-latitude waters, near the polar regions, or passing through areas blocked by complex terrain (such as islands, mountains, etc.). In these areas, communication interruptions occur frequently, causing ships to lose contact with the outside world and unable to obtain important navigation information, weather forecasts, command and dispatch instructions, etc. in a timely manner, which poses a huge risk to the navigation safety and operating efficiency of ships. For example, in ocean transportation, if a ship encounters sudden severe weather in a communication blind spot and cannot receive weather warnings, it may suffer serious losses due to the inability to take timely countermeasures; in maritime rescue operations, after the rescue ship enters the communication blind spot, it cannot maintain real-time communication with the command center, which will seriously affect the rescue efficiency and success rate.

[0004] On the other hand, the marine environment is complex and changeable. Severe weather conditions (such as storms, heavy snow, and dense fog) and sea conditions (such as huge waves and strong currents) greatly interfere with the performance of shipborne satellite communication equipment. Strong winds may cause the shipborne antenna to deviate or vibrate, affecting the stability of signal reception and transmission; heavy rain, heavy snow, and dense fog will absorb and scatter satellite signals, causing signal attenuation or even interruption; the violent shaking of the waves makes the ship's posture unstable, further increasing the difficulty of aligning the antenna with the satellite and reducing the quality of communication. At the same time, the corrosiveness of seawater and the salt spray environment will also corrode the electronic components and antenna components of communication equipment, shortening the service life of the equipment and increasing maintenance costs and frequency.

[0005] In addition, most existing shipborne satellite communication systems lack intelligence and adaptability. When the communication environment changes or enters a blind spot, the system often cannot automatically and timely adjust communication parameters, switch communication links, or take effective optimization measures to ensure the continuity and stability of communication, requiring manual intervention, which is not only inefficient, but may not meet actual needs in emergency situations.

[0006] In summary, there is an urgent need for a shipborne satellite communication system that can adapt to changes in the ocean environment, effectively solve the problem of satellite communication blind spots, and improve communication stability and reliability, so as to meet the growing demand for efficient and stable communications in marine activities and ensure the safety and smooth progress of marine operations. Summary of the invention

[0007] The present invention proposes an adaptive dynamic optimization system for blind areas of shipborne satellite communications to solve the problems mentioned in the above-mentioned prior art.

[0008] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an adaptive dynamic optimization system for blind spots of shipborne satellite communication, comprising: a signal acquisition and monitoring module: receiving satellite signals through a shipborne antenna, collecting the position, speed, heading information and surrounding environment data of the ship at the same time, monitoring the strength, signal-to-noise ratio and carrier-to-noise ratio parameters of satellite communication signals in real time, and transmitting the collected data to an analysis and decision module; Analysis and decision-making module: Based on the received data, the algorithm is used to analyze the changing trend of satellite signal quality, the ship's motion status, and the impact of environmental factors on communication. According to the preset rules, it is determined whether the satellite communication blind spot has been entered. The algorithm includes learning algorithm, neural network algorithm and logic algorithm. Through the learning and analysis of historical data and real-time data, the decision model is continuously optimized. The learning algorithm adopts the architecture combining convolutional neural network CNN and recurrent neural network RNN ​​to extract the time-frequency characteristics of satellite signals and the ship's motion trajectory. The neural network algorithm realizes the modeling and analysis of the communication environment through nonlinear transformation of the input data. If it is determined to enter the blind spot, a targeted strategy is formulated according to the analysis results, including selecting backup communication links, adjusting antenna parameters, and optimizing the data transmission method and sending it to the execution module; Antenna adaptive adjustment unit: According to the instructions of the analysis and decision module, the azimuth, pitch angle and polarization parameters of the shipborne antenna are controlled. When adjusting the antenna parameters, the motor drive system and feedback control mechanism are used. The feedback control loop monitors the deviation between the actual position of the antenna and the target position in real time, and calculates the actual position of the target according to the deviation calculation formula. ,in is the deviation value, is the target angle, The actual angle and ,in is the deviation value, Target is the target pitch angle, Correction for actual pitch angle; Communication link intelligent switching unit: real-time monitoring of the status of the main communication link. If the signal quality of the main link drops to the preset threshold or enters the communication blind spot, it will quickly switch to the backup communication link based on the decision of the analysis and decision module. During the switching process, the link quality is evaluated in real time, and seamless switching technology is used during switching to establish a connection with the backup link and synchronize data. Data dynamic optimization processing module: optimizes the transmission data according to the communication link status and signal quality. The data compression algorithm adopts a compression algorithm based on the dictionary model, combined with an adaptive compression strategy, and dynamically adjusts the compression parameters according to the characteristics of the data. The compression rate R is calculated as follows: ,in is the original data length, To compress the data length, the error correction coding technology uses low-density parity check code LDPC or convolutional code, which can automatically adjust the coding rate and error correction capability according to the signal quality. Calculate, where BER is the bit error rate; Power management and energy-saving module: manage power distribution according to the operating status and energy demand of each module of the system, optimize energy utilization efficiency and reduce energy consumption under the premise of normal system operation. If the battery power is detected to be low, the system working mode will be automatically adjusted to give priority to the operation of the communication function, and the crew will be reminded to charge in time or take energy-saving measures. This module uses an intelligent power management chip, which can monitor the battery power, voltage, and current parameters in real time, and adjust the power output voltage and current according to the system load. Power conversion efficiency The calculation formula is ,in is the output power, is the input power; Human-machine interaction and warning module: The system operation status, communication link quality, and warning information about entering the blind spot are displayed to the crew through the display screen, indicator light, and voice prompt. The voice prompt function supports language selection and volume. According to the environmental noise Automatic adjustment, the formula is ,in is the basic volume, and k is the adjustment coefficient.

[0009] Furthermore, in the signal acquisition and monitoring module, the shipboard antenna has an automatic calibration function, which automatically adjusts the antenna parameters according to the satellite signal frequency and polarization characteristics. The calibration process is based on the relationship model between the antenna gain G and the frequency f and polarization direction p. , by transmitting the calibration signal and receiving and analyzing it, the deviation value of the antenna parameters is calculated , according to the formula ,in is the current antenna parameter, For the adjusted parameters, perform automatic adjustment.

[0010] Furthermore, in the deep learning algorithm of the analysis and decision-making module, the convolution layer of CNN extracts local features of the satellite signal spectrum image through the convolution kernel, the pooling layer performs downsampling to reduce the amount of data, and the fully connected layer integrates feature information; RNN is used to process the time series data of the ship's motion trajectory and learn the trajectory change law by updating the hidden layer state. The multi-layer perceptron of the neural network algorithm includes an input layer, a hidden layer, and an output layer. By adjusting the connection weights between neurons Implement data mapping.

[0011] Furthermore, when the antenna adaptive adjustment unit adjusts the antenna parameters, the motor drive system adopts a stepper motor or a servo motor, and the motor control signal is sent through a microcontroller. The adjustment amount is calculated according to the antenna azimuth and pitch angle adjustment formula, and the motor speed and direction are controlled through pulse width modulation PWM technology.

[0012] Furthermore, when the communication link switching unit switches the communication link, in the process of establishing a connection with the standby link, it tests the link delay D and the packet loss rate by sending a link detection signal. Parameters, according to the formula Calculate the quality assessment value of the backup link and compares it with the quality evaluation value of the main link. During the switching process, the data cache is maintained, and after a stable connection is established on the new link, the cached data is quickly transmitted to the new link.

[0013] Furthermore, in the compression algorithm based on the dictionary model of the data dynamic optimization processing module, the dictionary is dynamically updated according to the character sequence or pattern appearing in the data, and the repeated parts are represented by the code by searching the dictionary during the compression process. In terms of error correction coding, LDPC code realizes encoding and decoding by constructing a sparse check matrix, and the decoding adopts the Viterbi algorithm to calculate the path according to the encoding rules and the received sequence to restore the original data.

[0014] Furthermore, the power management and energy saving module manages the charging process through the charging controller in the solar charging and wind charging modes. With light intensity It is related to the conversion efficiency of solar panels, and the formula is ,in is the solar panel area, and the power generated when wind power is charged The wind speed v, the rotor radius r and the air density , the formula is ,in To improve the efficiency of wind turbines, the charge controller uses maximum power point tracking (MPPT) technology to adjust the operating point of the solar panel or wind turbine according to the light intensity or wind speed.

[0015] Furthermore, the LCD display screen of the human-computer interaction and early warning module adopts an industrial-grade LCD panel, and the operation interface design adopts a combination of a graphical interface and text prompts. The crew can operate by touching the screen or pressing buttons. The remote control function sends control commands to the remote terminal by establishing a secure network connection. After receiving the commands, the shipborne system performs corresponding operations and feeds back the operation results to the remote terminal, realizing closed-loop control of remote monitoring and operation.

[0016] Compared with the prior art, the present invention has the following beneficial effects: First, it can effectively solve the problem of satellite communication blind spots. Through intelligent analysis and decision-making modules, it can accurately predict blind spots in advance, so that ships can complete optimization measures such as communication link switching or antenna parameter adjustment before entering the blind spots, ensuring uninterrupted communication and greatly improving navigation safety and operation continuity.

[0017] Second, the system stability and reliability have been greatly enhanced. The antenna adaptive adjustment unit adjusts the antenna parameters according to precise formulas in complex sea conditions and changeable weather to ensure good signal reception; the communication link intelligent switching unit switches seamlessly and supports multi-link load balancing, effectively responding to main link failures or signal degradation; the data dynamic optimization processing module reduces the bit error rate to 10 -6 The following ensures accurate data transmission.

[0018] Third, significantly improve energy efficiency. The power management and energy-saving module intelligently distributes power according to the battery and load conditions, supports multiple charging methods, reduces energy consumption while ensuring the normal operation of the system, extends battery life, and reduces dependence on traditional energy, which is in line with the concept of green environmental protection.

[0019] Fourth, it has excellent human-computer interaction convenience. The display screen of the human-computer interaction and early warning module clearly displays system information, the voice prompts adjust with the ambient noise, the operation interface is simple, the crew can operate it easily, and it also supports remote monitoring, which makes it convenient for the land command center to grasp the ship's communication status in real time and realize efficient command and dispatch. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The present invention provides a schematic block diagram of a shipborne satellite communication blind area adaptive dynamic optimization system. DETAILED DESCRIPTION

[0021] 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 only 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.

[0022] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0023] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0024] Reference Figure 1:A shipborne satellite communication blind spot adaptive dynamic optimization system, including: signal acquisition and monitoring module: receiving satellite signals through the shipborne multi-band antenna, collecting the ship's position, speed, heading information, and surrounding environmental data, such as weather conditions, sea conditions, etc., real-time monitoring of satellite communication signal strength, signal-to-noise ratio, carrier-to-noise ratio and other parameters, and transmitting the collected data to the intelligent analysis and decision-making module. Among them, the shipborne multi-band antenna can cover the commonly used satellite communication frequency bands, such as L band (1-2GHz), C band (4-8GHz), Ku band (12-18GHz), Ka band (26.5-40GHz), etc., to meet the communication needs of different satellite systems; the accuracy of collecting ship position information can reach meter level, the update frequency of speed and heading information is not less than 1Hz, the sampling accuracy of the environmental data acquisition sensor meets the measurement standard of the corresponding data type, and the sampling frequency of the monitoring signal parameters is not less than 100Hz, ensuring the real-time and accuracy of the data.

[0025] Intelligent analysis and decision-making module: Based on the received data, intelligent algorithms are used to analyze the trend of satellite signal quality changes, the ship's motion status, and the impact of environmental factors on communication, and whether the satellite communication blind spot is about to be entered according to preset rules. Intelligent algorithms include deep learning algorithms, neural network algorithms, and fuzzy logic algorithms. Through the learning and analysis of a large amount of historical data and real-time data, the decision-making model is continuously optimized to improve the accuracy of communication status prediction and the effectiveness of optimization strategies. Among them, the deep learning algorithm uses a combination of convolutional neural networks (CNN) and recurrent neural networks (RNN) to extract deep features of satellite signal time-frequency characteristics and ship motion trajectories; the neural network algorithm realizes modeling and analysis of complex communication environments through multi-layer nonlinear transformation of input data; the fuzzy logic algorithm is used to process uncertain factors and fuzzy information to enhance the robustness of the system. If it is judged that the blind spot is about to be entered, a targeted optimization strategy is formulated according to the analysis results, including selecting a suitable backup communication link, adjusting antenna parameters, optimizing data transmission methods, etc., and the decision instructions are sent to the corresponding execution module.

[0026] Antenna adaptive adjustment unit: According to the instructions of the intelligent analysis and decision module, the azimuth, pitch angle, polarization mode and other parameters of the shipboard antenna are accurately controlled. When adjusting the antenna parameters, a high-precision motor drive system and feedback control mechanism are used. The motor drive accuracy reaches 0.01°. The feedback control loop monitors the deviation between the actual position of the antenna and the target position in real time, and calculates the actual position of the target according to the deviation calculation formula. ( is the deviation value, is the target angle, is the actual angle) and ( is the deviation value, Target is the target pitch angle, The system automatically detects obstacles around the antenna during antenna adjustment. If there are obstacles, it will automatically stop adjusting and sound an alarm to prevent the antenna from being damaged by collision. Communication link intelligent switching unit: Real-time monitoring of the status of the main communication link. When the signal quality of the main link drops to the preset threshold or is about to enter the communication blind spot, it quickly switches to the backup communication link, such as shortwave communication, maritime satellite phone, etc., based on the decision of the intelligent analysis and decision-making module. During the switching process, the optimal link is evaluated and selected in real time according to the link quality, supporting multi-link load balancing to improve the overall reliability and stability of the communication system. When switching, seamless switching technology is used to establish a connection with the backup link in advance and synchronize data. The switching time is controlled within 1 second to ensure uninterrupted data transmission.

[0027] Data dynamic optimization processing module: According to the communication link status and signal quality, the transmission data is dynamically optimized. The data compression algorithm adopts a compression algorithm based on a dictionary model, such as LZ77, LZ78, etc., combined with an adaptive compression strategy, and dynamically adjusts the compression parameters according to the characteristics of the data. The compression ratio can reach more than 3:1, effectively reducing the amount of data transmission. The compression ratio R calculation formula is: ( is the original data length, is the length of compressed data). Error correction coding technology uses low-density parity check code (LDPC) or convolutional code, which can automatically adjust the coding rate (the ratio of the encoded data length to the original data length) and error correction capability (the number of correctable error bits) according to the signal quality. (BER is the bit error rate) calculation, reducing the bit error rate to 10 -6 The following ensures the accuracy of data transmission.

[0028] Power management and energy-saving module: Intelligently manage power distribution according to the operating status and energy requirements of each module of the system, optimize energy utilization efficiency and reduce energy consumption while ensuring the normal operation of the system. When it is detected that the battery power is low, the system operating mode is automatically adjusted to prioritize the operation of key communication functions and remind the crew to charge in time or take energy-saving measures. This module uses an intelligent power management chip, which can monitor parameters such as battery power (unit: Ah), voltage (unit: V), current (unit: A) in real time, and dynamically adjust the power output voltage and current according to the system load (unit: W). Power conversion efficiency The calculation formula is ( Where is the output power, The module also supports multiple charging methods such as solar charging and wind charging, and can automatically switch charging modes according to environmental conditions to improve energy self-sufficiency.

[0029] Human-machine interaction and warning module: The system operation status, communication link quality, warning information about entering the blind spot, etc. are displayed to the crew through display screens, indicator lights, voice prompts and other methods. The display screen uses a high-resolution (not less than 1920×1080 pixels), high-brightness (not less than 1000cd / m²), waterproof and anti-glare LCD screen, which can clearly display the system status, map information, communication link parameters, etc.; the voice prompt function supports multiple language selections, and the volume According to the environmental noise Automatic adjustment, the formula is (in The operating interface is simple and intuitive, easy for crew members to operate, and they can operate by touching the screen or pressing buttons. The system supports remote control, and can monitor and operate the system on a remote terminal through wireless networks (such as Wi-Fi, 4G / 5G, etc.). The system records and stores operating data and operation logs for subsequent analysis and troubleshooting. Data storage adopts a cyclic overwrite method to ensure effective use of storage capacity.

[0030] In the present invention, in the signal acquisition and monitoring module, the shipborne multi-band antenna has an automatic calibration function, which can automatically adjust the antenna parameters according to the satellite signal frequency and polarization characteristics. The calibration process is based on the relationship model between the antenna gain G and the frequency f and the polarization direction p. (The model is obtained through pre-measurement and calibration), and the deviation value of the antenna parameters is calculated by transmitting the calibration signal and receiving and analyzing it. , according to the formula (in is the current antenna parameter, The antenna shell is made of high-strength aluminum alloy material, and the surface is specially treated with anti-corrosion. The protection level reaches IP67, ensuring long-term stable operation in the marine environment.

[0031] In the present invention, in the deep learning algorithm of the intelligent analysis and decision-making module, the convolution layer of CNN extracts the local features of the satellite signal spectrum image through convolution kernels of different sizes (such as 3×3, 5×5, etc.), the pooling layer performs downsampling to reduce the amount of data, and the fully connected layer integrates the feature information; RNN is used to process the time series data of the ship's motion trajectory, and learns the trajectory change law by updating the hidden layer state. The multilayer perceptron of the neural network algorithm includes an input layer, multiple hidden layers (the number of neurons is determined according to the dimension and complexity of the input data) and an output layer, and the connection weights between neurons are adjusted (Optimized by back propagation algorithm based on training data) to achieve nonlinear mapping of data. Fuzzy logic algorithm defines fuzzy sets of input and output variables (such as "strong", "medium", "weak" and other fuzzy sets of signal strength) and fuzzy rules (such as "IF signal strength is weak AND environmental impact factor is large THEN adjust antenna gain to high"), etc., and uses fuzzy reasoning mechanism to process uncertain information and enhance system robustness.

[0032] In the present invention, when the antenna adaptive adjustment unit adjusts the antenna parameters, the motor drive system adopts a high-precision stepper motor or servo motor, and the motor control signal is sent by the microcontroller. The motor speed and direction are controlled by pulse width modulation (PWM) technology according to the adjustment amount calculated by the antenna azimuth and pitch angle adjustment formula. In the feedback control mechanism, the antenna position sensor adopts a high-precision encoder or rotary transformer to convert the actual position of the antenna into a digital signal and feed it back to the microcontroller. The microcontroller calculates the deviation and adjusts the motor control signal to ensure that the antenna is adjusted quickly and accurately. The operating frequency of the millimeter wave radar for obstacle detection is 77GHz or 24GHz. The transmission power is adjusted according to the detection distance and accuracy requirements. The beam width is between a few degrees and more than ten degrees, which can effectively detect obstacles around the antenna and ensure the safe adjustment of the antenna.

[0033] In the present invention, when the communication link intelligent switching unit switches the communication link, in the process of establishing a connection with the backup link in advance, it sends a link detection signal (such as a ping packet, etc.) to test the link delay D (unit: ms), packet loss rate (unitless) and other parameters, according to the formula Calculate the quality assessment value of the backup link and compares it with the quality evaluation value of the main link. During the switching process, the data cache is maintained, and after the new link establishes a stable connection, the cached data is quickly transferred to the new link to ensure uninterrupted data transmission. At the same time, the system regularly inspects the backup link, sends test data and receives feedback, and adjusts the backup link parameters (such as signal transmission power, frequency, etc.) according to the feedback results to ensure that the backup link is always available.

[0034] In the present invention, in the compression algorithm of the root data dynamic optimization processing module based on the dictionary model, the dictionary is dynamically updated according to the frequently appearing character sequences or patterns in the data, and the repeated parts are represented by shorter codes by searching the dictionary during the compression process. In terms of error correction coding, the LDPC code realizes encoding and decoding by constructing a sparse check matrix, and the decoding process adopts the belief propagation algorithm or the sum-product algorithm to iteratively calculate the message transmission, and continuously updates the confidence of the bit node and the check node until the convergence condition is met or the maximum number of iterations is reached, so as to realize the correction of the error bit. The convolutional code realizes encoding through a shift register, and the decoding adopts the Viterbi algorithm, and the optimal path is calculated according to the encoding rule and the received sequence to restore the original data.

[0035] In the present invention, the power management and energy saving module manages the charging process through the charging controller in the solar charging and wind charging modes. With light intensity (Unit: W / m²) is related to the conversion efficiency of solar panels, and the formula is (in is the solar panel area, unit: m²); when charging with wind energy, the power generated The wind speed v (unit: m / s), the rotor radius r (unit: m) and the air density (Unit: kg / m³) is related to the formula: (in The charging controller uses maximum power point tracking (MPPT) technology to adjust the working point of the solar panel or wind turbine according to changes in light intensity or wind speed, improve charging efficiency, and ensure effective use of energy.

[0036] In the present invention, the liquid crystal display screen of the human-computer interaction and warning module adopts an industrial-grade liquid crystal panel, which has the characteristics of wide viewing angle (horizontal and vertical viewing angles are not less than 170°), high contrast (not less than 1000:1), etc., and can adapt to the display requirements under different lighting conditions. The operation interface design adopts a combination of a graphical interface and concise text prompts. The crew can operate by touching the screen or pressing buttons, and the operation response time does not exceed 0.5 seconds. The remote control function establishes a secure network connection (such as a VPN tunnel), and the remote terminal sends control instructions (such as switching communication link instructions, adjusting antenna parameter instructions, etc.). After receiving the instructions, the shipboard system performs corresponding operations and feeds back the operation results to the remote terminal, realizing remote monitoring and closed-loop control of operation. The system records and stores operation data (such as communication link switching records, antenna adjustment records, power usage, etc.) and operation logs (including crew operation time, operation content, etc.), and the storage time is not less than 30 days for subsequent analysis and troubleshooting.

[0037] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An adaptive dynamic optimization system for shipborne satellite communication blind spots, characterized in that: include: Signal acquisition and monitoring module: Receive satellite signals through the ship-borne antenna and monitor the strength, signal-to-noise ratio, and carrier-to-noise ratio parameters of satellite communication signals in real time; Analysis and decision-making module: Based on the received data, the algorithm is used to analyze the trend of satellite signal quality changes, the ship's motion status, and the impact of environmental factors on communication. According to the preset rules, it is determined whether it has entered the satellite communication blind spot. The time-frequency characteristics of the satellite signal and the ship's motion trajectory are extracted. The neural network algorithm transforms the input data to achieve modeling and analysis of the communication environment. If it is determined that it has entered the blind spot, a targeted strategy is formulated based on the analysis results. Antenna adaptive adjustment unit: According to the instructions of the analysis and decision module, the azimuth, pitch angle and polarization parameters of the shipborne antenna are controlled. When adjusting the antenna parameters, the motor drive system and feedback control mechanism are used. The feedback control loop monitors the deviation between the actual position of the antenna and the target position in real time, and calculates the deviation according to the deviation calculation formula. Calculate the deviation, where is the deviation value, is the target angle, The actual angle and ,in is the deviation value, Target is the target pitch angle, Correction for actual pitch angle; Communication link intelligent switching unit: monitors the status of the main communication link in real time. If the signal quality of the main link drops to the preset threshold or enters the communication blind area, it quickly switches to the backup communication link based on the decision of the analysis and decision module; Data dynamic optimization processing module: optimizes the transmission data according to the communication link status and signal quality; Under the premise of normal system operation, the power management and energy-saving module will automatically adjust the system working mode if it detects that the battery power is low, give priority to the operation of the communication function, and remind the crew to charge in time or take energy-saving measures; Human-computer interaction and warning module: Displays system operation status, communication link quality, and warning information about entering blind spots to the crew through display screens, indicator lights, and voice prompts.

2. The shipborne satellite communication blind area adaptive dynamic optimization system according to claim 1, characterized in that: In the signal acquisition and monitoring module, the shipborne antenna has an automatic calibration function, which automatically adjusts the antenna parameters according to the satellite signal frequency and polarization characteristics. The calibration process is based on the relationship model between the antenna gain G and the frequency f and polarization direction p. , by transmitting the calibration signal and receiving and analyzing it, the deviation value of the antenna parameters is calculated , according to the formula ,in is the current antenna parameter, For the adjusted parameters, perform automatic adjustment.

3. The shipborne satellite communication blind area adaptive dynamic optimization system according to claim 1, characterized in that: In the deep learning algorithm of the analysis and decision-making module, the convolution layer of CNN extracts local features of satellite signal spectrum images through convolution kernels, the pooling layer performs downsampling to reduce the amount of data, and the fully connected layer integrates feature information; RNN is used to process the time series data of the ship's motion trajectory, and learns the trajectory change law by updating the hidden layer state. The perceptron of the neural network algorithm includes input layer, hidden layer, and output layer, and adjusts the connection weights between neurons. Implement data mapping.

4. The shipborne satellite communication blind area adaptive dynamic optimization system according to claim 1, characterized in that: When the antenna adaptive adjustment unit adjusts the antenna parameters, the motor drive system uses a stepper motor or a servo motor. The motor control signal is sent through a microcontroller. The adjustment amount is calculated according to the antenna azimuth and pitch angle adjustment formula, and the motor speed and direction are controlled through pulse width modulation PWM technology.

5. The shipborne satellite communication blind area adaptive dynamic optimization system according to claim 1, characterized in that: When the communication link switching unit switches the communication link, it sends a link detection signal to test the link delay D and packet loss rate in the process of establishing a connection with the backup link. Parameters, according to the formula Calculate the quality assessment value of the backup link and compares it with the quality evaluation value of the main link. During the switching process, the data cache is maintained. After a stable connection is established on the new link, the cached data is quickly transmitted to the new link.

6. The shipborne satellite communication blind area adaptive optimization system according to claim 1, characterized in that: In the compression algorithm based on the dictionary model of the data optimization processing module, the dictionary is updated according to the character sequence or pattern appearing in the data. During the compression process, the repeated codes are represented by searching the dictionary. In terms of error correction coding, LDPC code realizes encoding and decoding by constructing a check matrix, and the decoding adopts the Viterbi algorithm.

7. The shipborne satellite communication blind area adaptive dynamic optimization system according to claim 1, characterized in that: The power management and energy saving module manages the charging process through the charging controller in solar charging and wind charging modes; when charging with solar energy, the charging power With light intensity It is related to the conversion efficiency of solar panels, and the formula is ,in is the solar panel area, and the power generated when wind power is charged The wind speed v, the rotor radius r and the air density , the formula is ,in To improve the efficiency of wind turbines, the charge controller uses power point tracking MPPT technology to adjust the working point of the solar panel or wind turbine according to the light intensity or wind speed.

8. The shipborne satellite communication blind area adaptive optimization system according to claim 1, characterized in that: The LCD display screen of the human-computer interaction and early warning module uses an LCD panel, and the operation interface design adopts a graphical interface and text prompts. The crew members operate by touching the screen or pressing buttons and send control commands through a network connection.

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