A maritime communication optimization method and system based on artificial intelligence

Abstract

The present application provides a method and system for optimizing maritime communications based on artificial intelligence. Specifically, the maritime communication parameters are comprehensively analyzed and processed to obtain a communication quality report; based on the communication quality report and in combination with the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to optimize and select the available frequency bands, and the spectrum utilization efficiency analysis technology is used to further improve the scientificity and rationality of the frequency band allocation, generating an optimized communication resource configuration scheme; based on the optimized communication resource configuration scheme, a secure and stable two-way data channel is established to obtain an efficient and reliable communication path; the efficient and reliable communication path is integrated with the real-time ship position information and the shore-based support system, and the optimal communication path is planned using an intelligent routing selection algorithm to generate a fully optimized maritime communication solution. The technical solution provided by the present application improves the flexibility, security and response speed of the communication system.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of maritime communication technology, and in particular to an artificial intelligence-based maritime communication optimization method and system. Background Art

[0002] Maritime communications play a vital role in modern navigation, particularly in applications such as ocean voyages, maritime rescue, and marine resource development. Ships require continuous and stable communication links to transmit critical information such as navigation data, weather information, and emergency response instructions. Therefore, maritime communication systems must possess high reliability, efficient data transmission capabilities, and the ability to adapt to complex and changing marine environments.

[0003] Current maritime communication solutions primarily rely on traditional spectrum allocation methods and fixed encryption protocols. These solutions utilize pre-defined frequency bands and static routing to ensure basic connectivity. However, with the increasing frequency of maritime activities and technological advancements, these traditional solutions are gradually becoming increasingly limited.

[0004] Existing solutions have the following major flaws: traditional spectrum allocation methods cannot be flexibly adjusted according to real-time ocean environment parameters and ship dynamic information, resulting in low frequency band resource utilization; fixed encryption protocols are difficult to adapt to the complex ocean communication environment and are vulnerable to interference and attacks, affecting information security; existing solutions are unable to quickly adjust communication paths and parameters in the face of emergencies, such as emergency rescue or severe weather, resulting in information transmission delays and reduced system reliability and accuracy. Summary of the Invention

[0005] The embodiments of the present application provide an artificial intelligence-based maritime communication optimization method and system to solve the problems of poor reliability and low accuracy of maritime communication systems in the prior art.

[0006] In a first aspect, an embodiment of the present application provides an artificial intelligence-based maritime communication optimization method, comprising:

[0007] Comprehensively analyze and process historical communication records, real-time ocean environment parameters, ship dynamic information, and sea traffic flow to generate a communication quality report. The report reflects the quality of the current communication link and potential interference factors, and predicts future trends.

[0008] Based on the communication quality report and in combination with the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to optimize the selection of available frequency bands. Spectrum utilization efficiency analysis technology is used to further improve the scientificity and rationality of frequency band allocation, thereby generating an optimized communication resource configuration plan.

[0009] Based on the optimized communication resource configuration scheme, after establishing a secure and stable two-way data channel, an adaptive encryption transmission protocol is used to ensure information security. At the same time, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Communication performance monitoring technology is used to continuously monitor key indicators during the data transmission process, resulting in an efficient and reliable communication path.

[0010] By integrating the efficient and reliable communication paths with real-time ship position information and shore-based support systems, an intelligent routing algorithm is used to plan the optimal communication path, and an instant response mechanism is used to ensure the speed and accuracy of information transmission, thus generating a fully optimized maritime communication solution.

[0011] Optionally, the method of applying an intelligent spectrum allocation algorithm to optimize the selection of available frequency bands based on the communication quality report and in combination with the ship's navigation plan, and further improving the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology to generate an optimized communication resource configuration plan includes:

[0012] Performing a preliminary evaluation of the communication environment and interference conditions of the available frequency bands based on the communication quality report to obtain a preliminary frequency band evaluation result;

[0013] Using the preliminary frequency band assessment results, combined with the estimated navigation path, time schedule, and communication requirements in the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to quantitatively analyze the utilization efficiency and adaptability of each frequency band and generate a frequency band adaptability score sheet;

[0014] Based on the frequency band adaptability score table, the spectrum utilization efficiency analysis technology is used to deeply analyze the historical usage and expected usage demand of the frequency band in different time periods to obtain a frequency band utilization efficiency analysis report;

[0015] By utilizing the frequency band utilization efficiency analysis report, the quality of the communication link, the frequency band adaptability and the utilization efficiency are comprehensively considered to optimize the selection of available frequency bands, ensure the optimal configuration of communication resources in a complex marine environment, and generate an optimized communication resource configuration plan.

[0016] Optionally, based on the frequency band adaptability score table, a spectrum utilization efficiency analysis technology is used to perform in-depth analysis of historical frequency band usage and expected usage requirements in different time periods to obtain a frequency band utilization efficiency analysis report, including:

[0017] Based on the frequency band adaptability score table, data on historical frequency band usage in different time periods is collected and processed to obtain an original frequency band usage dataset;

[0018] Based on the original frequency band usage dataset, combined with expected communication needs and the ship's navigation plan, spectrum usage efficiency analysis technology is used to quantitatively evaluate the usage efficiency of each frequency band in different time periods, and a frequency band usage efficiency score table for each time period is generated;

[0019] Using the frequency band usage efficiency score table for the time period, an in-depth analysis is conducted on the matching degree between historical usage and expected usage demand, and the influencing factors of communication link quality, frequency band adaptability, and usage frequency are comprehensively considered to obtain the frequency band usage efficiency analysis results;

[0020] Based on the frequency band utilization efficiency analysis results, the comprehensive performance of each frequency band in different time periods is integrated to form a comprehensive frequency band utilization efficiency analysis report.

[0021] Optionally, the frequency band utilization efficiency analysis report is used to comprehensively consider the quality of the communication link, the frequency band adaptability, and the utilization efficiency, to optimize the selection of available frequency bands to ensure the optimal configuration of communication resources in a complex marine environment, and to generate an optimized communication resource configuration plan, including:

[0022] Using the frequency band utilization efficiency analysis report, a quantitative evaluation is performed on the comprehensive performance of each available frequency band in different time periods, taking into account factors affecting communication link quality, frequency band adaptability, and utilization efficiency, to obtain a comprehensive frequency band performance score;

[0023] Based on the comprehensive performance score of the frequency bands, combined with real-time ocean environment parameters and ship navigation paths, a multi-dimensional performance optimization algorithm is applied to comprehensively evaluate the feasibility and reliability of each frequency band to generate a frequency band feasibility report;

[0024] Based on the frequency band feasibility report, dynamically adjust the configuration plan of the selected frequency band through intelligent resource matching technology to obtain an optimized frequency band configuration plan;

[0025] The optimized frequency band configuration scheme is used, combined with the ship communication requirements and the regulatory constraints of international waters, to confirm the final communication resource configuration and generate an optimized communication resource configuration scheme.

[0026] Optionally, after establishing a secure and stable bidirectional data channel based on the optimized communication resource configuration scheme, an adaptive encryption transmission protocol is used to ensure information security, while an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission, and communication performance monitoring technology is applied to continuously monitor key indicators during data transmission to obtain an efficient and reliable communication path, including:

[0027] Based on the optimized communication resource configuration scheme, the establishment parameters of the bidirectional data channel are configured and optimized to ensure the security and stability of the communication link and obtain a safe and stable bidirectional data channel;

[0028] Utilizing the secure and stable bidirectional data channel, an adaptive encryption transmission protocol is used to encrypt the information transmission process, thereby ensuring information security and generating an encrypted communication path;

[0029] According to the encrypted communication path, an artificial intelligence-driven forward error correction mechanism is applied to automatically detect and correct errors in the data transmission process, thereby enhancing the integrity and reliability of data transmission and obtaining a reliable data transmission path;

[0030] Based on the reliable data transmission path, communication performance monitoring technology is applied to continuously monitor and process key indicators in the data transmission process to obtain an efficient and reliable communication path.

[0031] Optionally, based on the reliable data transmission path, applying a communication performance monitoring technology to continuously monitor key indicators in the data transmission process to obtain an efficient and reliable communication path includes:

[0032] Based on the reliable data transmission path, communication performance monitoring technology is applied to collect and process key indicators in the data transmission process in real time to obtain an original performance data set; wherein the key indicators include bit error rate and delay;

[0033] Based on the original performance data set, combined with preset performance thresholds and historical communication performance records, a quantitative evaluation process is performed on the current communication performance to generate a communication performance evaluation report;

[0034] Using the communication performance evaluation report, identify potential performance issues and their influencing factors through intelligent analysis algorithms, and propose optimization suggestions to obtain performance optimization solutions;

[0035] Based on the performance optimization scheme, communication parameters and resource configuration are dynamically adjusted to ensure that the data transmission process is continuously efficient and reliable, thereby obtaining an efficient and reliable communication path.

[0036] Optionally, the efficient and reliable communication path is integrated with real-time vessel position information and shore-based support systems, an optimal communication path is planned using an intelligent routing algorithm, and the speed and accuracy of information transmission are ensured through an immediate response mechanism to generate a fully optimized maritime communication solution, including:

[0037] Integrate the efficient and reliable communication paths with real-time vessel position information and shore-based support systems to conduct a comprehensive analysis of communication needs and resources to obtain a comprehensive overview of the communication environment;

[0038] Based on the comprehensive communication environment overview, combined with international waters regulations and waterway restrictions, an intelligent routing algorithm is used to plan and process the optimal communication path, generating a preliminary optimal communication path plan;

[0039] Based on the preliminary optimal communication path plan, an immediate response mechanism is introduced to optimize the speed and accuracy of information transmission for key tasks, ensuring rapid response in all situations and obtaining an optimized communication path plan. Key tasks include emergency rescue and transportation of important supplies.

[0040] By utilizing the optimized communication path solution and combining it with the successful experiences and lessons learned from historical communication cases, a comprehensive evaluation and adjustment is conducted to generate a fully optimized maritime communication solution.

[0041] In a second aspect, an embodiment of the present application provides an artificial intelligence-based maritime communication optimization system, comprising:

[0042] An analysis module is used to comprehensively analyze and process historical communication records, real-time ocean environmental parameters, ship dynamic information, and sea traffic flow to generate a communication quality report. The report reflects the quality of the current communication link and potential interference factors, and predicts the change trend in the future;

[0043] a processing module configured to optimize the selection of available frequency bands using an intelligent spectrum allocation algorithm based on the communication quality report and the vessel's navigation plan, further improve the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology, and generate an optimized communication resource configuration plan;

[0044] A monitoring module is configured to establish a secure and stable bidirectional data channel based on the optimized communication resource configuration scheme, employ an adaptive encryption transmission protocol to ensure information security, enhance the integrity and reliability of data transmission through an artificial intelligence-driven forward error correction mechanism, and apply communication performance monitoring technology to continuously monitor key indicators during data transmission, thereby achieving an efficient and reliable communication path;

[0045] The planning module is used to integrate the efficient and reliable communication paths with real-time ship position information and shore-based support systems, use intelligent routing algorithms to plan the optimal communication paths, and ensure the speed and accuracy of information transmission through an immediate response mechanism to generate a fully optimized maritime communication solution.

[0046] In a third aspect, an embodiment of the present application provides a computing device comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement an artificial intelligence-based maritime communication optimization method as described in the first aspect.

[0047] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, it implements an artificial intelligence-based maritime communication optimization method as described in the first aspect.

[0048] In an embodiment of the present application, historical communication records, real-time ocean environmental parameters, ship dynamic information, and sea traffic flow are comprehensively analyzed and processed to obtain a communication quality report. The communication quality report reflects the quality of the current communication link and potential interference factors, and estimates the changing trend in the future. Based on the communication quality report and in combination with the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to optimize the selection of available frequency bands, and the scientificity and rationality of frequency band allocation are further improved through spectrum utilization efficiency analysis technology to generate an optimized communication resource allocation plan. Based on the optimized communication resource allocation plan, after establishing a secure and stable two-way data channel, an adaptive encryption transmission protocol is adopted to ensure information security. At the same time, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission, and communication performance monitoring technology is applied to continuously monitor key indicators in the data transmission process, thereby obtaining an efficient and reliable communication path. The efficient and reliable communication path is integrated with real-time ship position information and shore-based support systems, and an intelligent routing selection algorithm is used to plan the optimal communication path. The speed and accuracy of information transmission are guaranteed through an immediate response mechanism, thereby generating a fully optimized maritime communication solution.

[0049] The technical solution of this application has the following beneficial effects:

[0050] This invention provides a fully optimized maritime communications solution. By comprehensively analyzing historical communication records, real-time ocean environmental parameters, vessel dynamics, and maritime traffic flow, it generates a detailed communication quality report. This report not only reflects the quality of the current communication link and potential interference factors, but also predicts future trends, providing a scientific basis for subsequent steps. Based on this communication quality report and in conjunction with the vessel's navigation plan, an intelligent spectrum allocation algorithm is applied to optimize the selection of available frequency bands. Spectrum efficiency analysis technology further improves the scientific and rationality of frequency allocation, ensuring optimal utilization of frequency resources. Furthermore, this solution establishes a secure and stable bidirectional data channel, employs an adaptive encryption transmission protocol to ensure information security, and enhances the integrity and reliability of data transmission through an artificial intelligence-driven forward error correction mechanism. Furthermore, communication performance monitoring technology continuously monitors key indicators during data transmission, ensuring the efficiency and reliability of the communication path. Finally, by integrating efficient and reliable communication paths with real-time vessel position information and shore-based support systems, an intelligent routing algorithm is used to plan the optimal communication path, and an immediate response mechanism ensures the speed and accuracy of information transmission. This series of measures work together to achieve a fully optimized maritime communication solution, significantly improving the performance, reliability and response speed of the communication system, meeting the diverse communication needs in complex marine environments, and providing strong technical support and safety guarantees for maritime navigation.

[0051] Furthermore, this method significantly improves the flexibility and scientific nature of frequency band resource allocation, overcomes the problem of low frequency band resource utilization in existing solutions, achieves the optimal configuration of communication resources, ensures the efficiency and reliability of communication in complex marine environments, and thus greatly improves the overall performance of the maritime communication system and its ability to respond to emergencies.

[0052] Furthermore, this method significantly improves the security, integrity and reliability of data transmission, overcomes the problems of insufficient information security and susceptibility of data transmission to interference in existing solutions, realizes full monitoring and optimization adjustment of the communication process, ensures the efficiency and stability of communication in complex marine environments, and thus greatly improves the overall performance of the maritime communication system and its ability to respond to emergencies.

[0053] These and other aspects of the present application will become more readily apparent from the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0055] Figure 1 A flowchart of an artificial intelligence-based maritime communication optimization method provided in an embodiment of the present application;

[0056] Figure 2 A schematic diagram of the structure of an artificial intelligence-based maritime communication optimization system provided in an embodiment of the present application;

[0057] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] In order to enable people skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0059] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this document or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to being different types.

[0060] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0061] Figure 1 A flowchart of a maritime communication optimization method based on artificial intelligence is provided for an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0062] 101. Comprehensively analyze and process historical communication records, real-time ocean environment parameters, ship dynamic information, and sea traffic flow to obtain a communication quality report. The communication quality report reflects the quality of the current communication link and potential interference factors, and predicts the change trend in the future;

[0063] In this step, historical communication records, real-time ocean environmental parameters, vessel dynamics information, and maritime traffic flow are comprehensively analyzed and processed. Historical communication records include historical communication quality data, error rates, and frequency band usage, which are used to evaluate the historical performance of the communication link. Real-time ocean environmental parameters cover information such as sea conditions, weather conditions, and the electromagnetic environment, which are used to identify the current state of the communication environment. Vessel dynamics information, including the ship's position, speed, and heading, is used to predict communication needs. Maritime traffic flow reflects the density of vessel activity in the surrounding waters and is used to assess potential interference factors. Through this comprehensive analysis of these data, a communication quality report is generated, reflecting the current quality of the communication link and potential interference factors, and predicting future trends.

[0064] In this embodiment, a comprehensive communication quality assessment model is constructed by comprehensively analyzing the aforementioned multiple data sources, utilizing big data analysis techniques and machine learning algorithms. This model can update and output detailed communication quality reports in real time, providing a scientific basis for subsequent spectrum allocation and path planning.

[0065] Consider an ocean-going freighter sailing in the Pacific Ocean. The system collects the past month's historical communication records, real-time ocean environmental parameters (such as wind speed and wave height), the ship's speed and heading, and traffic volume in the surrounding waters. By comprehensively analyzing this data, the system generates a detailed communication quality report, indicating that the current communication link quality is good, but certain frequency bands are expected to experience interference within the next 24 hours due to an impending storm. This report provides important reference for subsequent optimization of frequency band selection.

[0066] 102. Based on the communication quality report and in combination with the vessel's navigation plan, apply an intelligent spectrum allocation algorithm to optimize the selection of available frequency bands, and further improve the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology to generate an optimized communication resource allocation plan;

[0067] In this step, an intelligent spectrum allocation algorithm is applied to optimize the selection of available frequency bands based on the communication quality report and the vessel's navigation plan. The communication quality report provides an assessment of the quality of the communication link for the current and future periods. The vessel's navigation plan, including the projected route, schedule, and communication requirements, guides frequency band selection. The intelligent spectrum allocation algorithm quantitatively analyzes the efficiency and adaptability of each frequency band and generates a frequency band adaptability score table to ensure optimal allocation of frequency resources.

[0068] In an embodiment of the present application, based on the communication quality report and the ship's navigation plan, an intelligent spectrum allocation algorithm is used to quantitatively analyze the utilization efficiency and adaptability of each frequency band, generate a frequency band adaptability score table, and further optimize the frequency band allocation through spectrum utilization efficiency analysis technology, and finally generate an optimized communication resource configuration plan.

[0069] Suppose, based on the communication quality report generated in the previous step, the system learns that certain frequency bands will be affected by a storm within the next 24 hours. Based on the freighter's sailing plan (including the time period during which it will pass through the storm zone), the intelligent spectrum allocation algorithm selects frequency bands that are less affected and more adaptable, and generates a frequency band adaptability score table. Using spectrum efficiency analysis technology, the system further optimizes frequency band allocation, ensuring efficient use of communication resources and generating an optimized communication resource allocation plan.

[0070] 103. Based on the optimized communication resource configuration scheme, after establishing a secure and stable two-way data channel, an adaptive encryption transmission protocol is used to ensure information security. At the same time, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Communication performance monitoring technology is used to continuously monitor key indicators during data transmission, thereby obtaining an efficient and reliable communication path.

[0071] In this step, after establishing a secure and stable two-way data channel based on the optimized communication resource configuration scheme, an adaptive encryption transmission protocol is used to ensure information security. Meanwhile, an AI-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Communication performance monitoring technology is also used to continuously monitor key indicators during data transmission. The two-way data channel ensures the security and stability of communications; the adaptive encryption transmission protocol dynamically adjusts the encryption strategy based on the communication environment; the AI-driven forward error correction mechanism automatically detects and corrects transmission errors; and communication performance monitoring technology tracks key indicators such as bit error rate and latency in real time to ensure the efficiency and reliability of data transmission.

[0072] In an embodiment of the present application, the establishment parameters of a bidirectional data channel are first configured and optimized to ensure the security and stability of the communication link; then, an adaptive encryption transmission protocol is used to encrypt the information transmission process to generate an encrypted communication path; then, an artificial intelligence-driven forward error correction mechanism is applied to automatically detect and correct errors in the data transmission process to enhance the integrity and reliability of data transmission; finally, based on a reliable data transmission path, communication performance monitoring technology is applied to continuously monitor key indicators of data transmission to ensure the efficiency and reliability of the communication path.

[0073] Assume that, based on the optimized communication resource allocation plan, the system establishes a secure and stable bidirectional data channel. This channel utilizes an adaptive encryption transmission protocol, dynamically adjusting encryption strength based on the actual communication environment to ensure information security. Furthermore, the system utilizes an AI-driven forward error correction mechanism to automatically detect and correct errors that may occur during transmission, improving the integrity and reliability of data transmission. Furthermore, communication performance monitoring technology monitors key metrics such as bit error rate and latency in real time, ensuring efficient and reliable data transmission.

[0074] 104. Integrate the efficient and reliable communication path with real-time ship position information and shore-based support systems, use intelligent routing algorithms to plan the optimal communication path, and ensure the speed and accuracy of information transmission through an immediate response mechanism to generate a fully optimized maritime communication solution.

[0075] In this step, the efficient and reliable communication path is integrated with real-time vessel position information and shore-based support systems. An intelligent routing algorithm is used to plan the optimal communication path, and an immediate response mechanism is used to ensure the speed and accuracy of information transmission. Real-time vessel position information provides accurate vessel location and dynamics. The shore-based support system includes ground stations, satellites, and other auxiliary facilities to support and manage communications. The intelligent routing algorithm plans the optimal communication path by considering factors such as communication needs and regulatory restrictions. The immediate response mechanism ensures that communication paths and parameters can be quickly adjusted in emergency situations to ensure the timeliness and accuracy of information transmission.

[0076] In the embodiment of the present application, an efficient and reliable communication path is integrated with real-time ship position information and shore-based support systems, an intelligent routing algorithm is used to plan the optimal communication path, and an instant response mechanism is used to ensure the speed and accuracy of information transmission, ultimately generating a fully optimized maritime communication solution.

[0077] Assuming the vessel has established an efficient and reliable communication path, the system integrates the vessel's real-time location information with data from shore-based support systems. Using intelligent routing algorithms, the system plans an optimal communication path from the vessel to the nearest ground station, ensuring efficient and stable communication. In the event of an emergency, an immediate response mechanism can rapidly adjust the communication path and parameters to ensure the speed and accuracy of information transmission, thereby creating a fully optimized maritime communication solution.

[0078] To address the issue of insufficiently scientific and rational frequency band resource allocation, in some embodiments, step 102 includes applying an intelligent spectrum allocation algorithm to optimize the selection of available frequency bands based on the communication quality report and the ship's navigation plan, and further improving the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology to generate an optimized communication resource configuration plan, including:

[0079] Based on the communication quality report, a preliminary evaluation is performed on the communication environment and interference conditions of the available frequency bands to obtain preliminary frequency band evaluation results; using the preliminary frequency band evaluation results, combined with the expected navigation path, time schedule and communication needs in the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to quantitatively analyze the utilization efficiency and adaptability of each frequency band to generate a frequency band adaptability score sheet; based on the frequency band adaptability score sheet, the historical usage and expected usage needs of the frequency bands in different time periods are deeply analyzed and processed through spectrum utilization efficiency analysis technology to obtain a frequency band utilization efficiency analysis report; using the frequency band utilization efficiency analysis report, the quality of the communication link, the frequency band adaptability and utilization efficiency are comprehensively considered to optimize the selection of available frequency bands to ensure the optimal configuration of communication resources in a complex marine environment and generate an optimized communication resource configuration plan.

[0080] In this embodiment, the communication quality report includes the quality assessment of the current communication link, potential interference factors, and the forecast of changing trends in the future; the preliminary frequency band assessment results cover the communication environment and interference conditions of each frequency band; the frequency band adaptability score sheet quantifies the utilization efficiency and adaptability of each frequency band; the frequency band utilization efficiency analysis report deeply analyzes the historical utilization and expected demand of the frequency band in different time periods.

[0081] In an embodiment of the present application, first, a preliminary evaluation of the communication environment and interference conditions of the available frequency bands is performed based on the communication quality report to obtain preliminary frequency band evaluation results; secondly, using these preliminary evaluation results, combined with the expected path, time schedule and communication needs in the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to quantitatively analyze the utilization efficiency and adaptability of each frequency band, and a frequency band adaptability score table is generated; again, based on the frequency band adaptability score table, the historical usage and expected demand of the frequency bands in different time periods are deeply analyzed through spectrum utilization efficiency analysis technology to obtain a frequency band utilization efficiency analysis report; finally, taking into account the quality of the communication link, the frequency band adaptability and utilization efficiency, the available frequency bands are optimized and selected to ensure the optimal configuration of communication resources in a complex marine environment, and to generate an optimized communication resource configuration plan.

[0082] Here's a specific example: Imagine an ocean-going freighter traversing the North Pacific. The system first conducts a preliminary assessment of the communication environment and interference conditions for each frequency band based on communication quality reports. It discovers that certain frequency bands are significantly affected by solar storms during specific periods, generating preliminary frequency band assessment results. Second, using these assessment results, combined with the time period the freighter will be traversing the storm zone and its communication needs, it applies an intelligent spectrum allocation algorithm to quantitatively analyze the utilization efficiency and adaptability of each frequency band, generating a frequency band adaptability score table. Based on the score table, spectrum efficiency analysis techniques are used to deeply analyze the historical usage and expected demand for the frequency bands during different time periods, generating a frequency band utilization efficiency analysis report that shows that some frequency bands perform better during the day than at night. Finally, by comprehensively considering the quality of the communication link, frequency band adaptability, and utilization efficiency, the system selects frequency bands with the least impact and the highest adaptability, ensuring optimal allocation of communication resources in complex ocean environments. This results in an optimized communication resource allocation plan. Through these steps, the system not only improves the scientific and rationality of frequency band allocation but also significantly enhances the stability and reliability of the communication system, meeting the needs for efficient communication in complex ocean environments.

[0083] In order to solve the problem of unscientific and unreasonable allocation of frequency band resources, in some embodiments, based on the frequency band adaptability score table, the historical usage and expected usage requirements of the frequency band in different time periods are deeply analyzed and processed by spectrum utilization efficiency analysis technology to obtain a frequency band utilization efficiency analysis report, including:

[0084] Based on the frequency band adaptability scoring table, data collection and processing are performed on the historical usage of frequency bands in different time periods to obtain an original frequency band usage data set; based on the original frequency band usage data set, combined with the expected communication needs and the ship's navigation plan, spectrum utilization efficiency analysis technology is applied to quantitatively evaluate the utilization efficiency of each frequency band in different time periods to generate a time period frequency band utilization efficiency scoring table; using the time period frequency band utilization efficiency scoring table, an in-depth analysis is performed on the matching degree between historical usage and expected usage needs, and the influencing factors of communication link quality, frequency band adaptability and usage frequency are comprehensively considered to obtain a frequency band utilization efficiency analysis result; based on the frequency band utilization efficiency analysis result, the comprehensive performance of each frequency band in different time periods is integrated to form a comprehensive frequency band utilization efficiency analysis report.

[0085] In order to solve the problem of optimizing the selection of frequency band configuration to ensure optimal communication resource configuration, in the above embodiment, the frequency band utilization efficiency analysis report is used to comprehensively consider the quality of the communication link, the frequency band adaptability and utilization efficiency, and the available frequency bands are optimized and selected to ensure the optimal configuration of communication resources in a complex marine environment. The optimized communication resource configuration plan is generated, including:

[0086] The frequency band utilization efficiency analysis report is used to quantitatively evaluate the comprehensive performance of each available frequency band in different time periods, taking into account the influencing factors of communication link quality, frequency band adaptability and utilization efficiency, and obtaining a comprehensive frequency band performance score; based on the comprehensive frequency band performance score, combined with real-time ocean environment parameters and ship navigation paths, a multi-dimensional performance optimization algorithm is applied to comprehensively evaluate the feasibility and reliability of each frequency band to generate a frequency band feasibility report; based on the frequency band feasibility report, the configuration plan of the selected frequency band is dynamically adjusted through intelligent resource matching technology to obtain an optimized frequency band configuration plan; using the optimized frequency band configuration plan, combined with the ship communication needs and international waters regulatory constraints, the final communication resource configuration is confirmed to generate an optimized communication resource configuration plan.

[0087] In this embodiment, the frequency band adaptability score table quantifies the utilization efficiency and adaptability of each frequency band; the original frequency band usage data set includes the historical usage of the frequency bands in different time periods; the time period frequency band utilization efficiency score table evaluates the utilization efficiency of each frequency band in different time periods; the frequency band utilization efficiency analysis result comprehensively considers the influencing factors of communication link quality, frequency band adaptability and usage frequency; the frequency band utilization efficiency analysis report integrates the comprehensive performance of each frequency band in different time periods; the frequency band comprehensive performance score quantitatively evaluates the comprehensive performance of each available frequency band in different time periods; the frequency band feasibility report comprehensively evaluates the feasibility and reliability of each frequency band; the intelligent resource matching technology dynamically adjusts the configuration plan of the selected frequency band; and the final communication resource configuration takes into account the ship communication needs and the constraints of international water regulations.

[0088] In an embodiment of the present application, first, based on the frequency band adaptability scoring table, data collection and processing are performed on the historical usage of the frequency bands in different time periods to obtain an original frequency band usage data set; secondly, based on the original frequency band usage data set, combined with the expected communication needs and the ship's navigation plan, the spectrum utilization efficiency analysis technology is applied to quantitatively evaluate the utilization efficiency of each frequency band in different time periods to generate a time period frequency band utilization efficiency scoring table; again, using the time period frequency band utilization efficiency scoring table, an in-depth analysis is performed on the matching degree between the historical usage and the expected usage needs, and the influencing factors of the communication link quality, frequency band adaptability and usage frequency are comprehensively considered to obtain the frequency band utilization efficiency analysis results; finally, based on the frequency band utilization efficiency analysis results, the comprehensive performance of each frequency band in different time periods is integrated to form a comprehensive frequency band utilization efficiency analysis report. Furthermore, the frequency band utilization efficiency analysis report is first used to quantitatively evaluate the comprehensive performance of each available frequency band in different time periods, taking into account the influencing factors of communication link quality, frequency band adaptability and utilization efficiency, and obtaining a comprehensive frequency band performance score; secondly, based on the comprehensive frequency band performance score, combined with real-time ocean environment parameters and ship navigation paths, a multi-dimensional performance optimization algorithm is applied to comprehensively evaluate the feasibility and reliability of each frequency band to generate a frequency band feasibility report; again, based on the frequency band feasibility report, the configuration plan of the selected frequency band is dynamically adjusted through intelligent resource matching technology to obtain an optimized frequency band configuration plan; finally, the optimized frequency band configuration plan is used to confirm the final communication resource configuration in combination with ship communication needs and international waters regulatory constraints to generate an optimized communication resource configuration plan.

[0089] Here's a specific example:

[0090] For example, an ocean-going freighter is crossing the North Pacific. The system first collects historical frequency band usage data for different time periods over the past month based on a frequency band adaptability score sheet, generating an original frequency band usage dataset. Second, based on this data and combined with the time period in which the freighter will be crossing a storm zone and its communication needs, spectrum utilization efficiency analysis technology is used to quantitatively evaluate the utilization efficiency of each frequency band at different time periods, generating a time-based frequency band utilization efficiency score sheet. The score sheet is then used to conduct an in-depth analysis of the match between historical usage and expected usage needs, comprehensively considering factors influencing communication link quality, frequency band adaptability, and usage frequency to generate a frequency band utilization efficiency analysis result. Finally, based on the analysis results, the comprehensive performance of each frequency band at different time periods is integrated to form a comprehensive frequency band utilization efficiency analysis report. Next, the system uses the frequency band utilization efficiency analysis report to quantitatively evaluate the comprehensive performance of each available frequency band over different time periods, taking into account factors affecting communication link quality, frequency band adaptability, and utilization efficiency to obtain a comprehensive frequency band performance score. Based on this score, combined with real-time ocean environmental parameters and the cargo ship's navigation path, a multi-dimensional performance optimization algorithm is applied to comprehensively evaluate the feasibility and reliability of each frequency band, generating a frequency band feasibility report. Based on this report, the configuration plan for the selected frequency band is dynamically adjusted through intelligent resource matching technology to obtain an optimized frequency band configuration plan. Finally, using the optimized frequency band configuration plan, combined with the cargo ship's communication needs and international waters regulations, the final communication resource configuration is confirmed and processed to generate an optimized communication resource configuration plan. Through these steps, the system not only improves the scientific and rationality of frequency band allocation, but also significantly enhances the stability and reliability of the communication system, meeting the needs of efficient communication in complex marine environments.

[0091] This application addresses the existing challenges of unscientific and irrational frequency band resource allocation and its lack of responsiveness to real-time environmental changes and the dynamic needs of ships. Therefore, the present invention proposes an alternative solution to address the static and inflexible nature of traditional spectrum allocation methods. By introducing an intelligent spectrum allocation algorithm and an immediate response mechanism, the system dynamically optimizes frequency band selection based on factors such as communication link quality, frequency band adaptability, historical usage performance, priority, and environmental changes, ensuring efficient and reliable communication planning and implementation.

[0092] Optionally, the preliminary frequency band assessment results are used in combination with the estimated navigation path, time schedule, and communication requirements in the ship's navigation plan to apply an intelligent spectrum allocation algorithm to perform quantitative analysis and processing on the utilization efficiency and adaptability of each frequency band, and generate a frequency band adaptability score sheet, including:

[0093] In calculating the frequency band adaptability score A iBefore that, it is necessary to conduct an in-depth analysis of the preliminary frequency band assessment results, comprehensively considering the communication link quality, frequency band adaptability, historical usage performance, frequency band priority and environmental changes, and assign a preliminary adaptability factor to each frequency band to ensure that the assessment results fully reflect the actual adaptability of each frequency band;

[0094]

[0095] A i represents the adaptability score of the i-th frequency band; Q i Indicates the communication link quality of the i-th frequency band; F i represents the adaptability factor of the i-th frequency band; η represents the priority coefficient; P i represents the usage priority of the i-th frequency band; ω represents the historical performance weight; H i represents the historical usage performance of the i-th frequency band; T i represents the expected usage time of the i-th frequency band; T avg represents the average expected usage time of all frequency bands; λ represents the time sensitivity coefficient; D i Indicates the frequency of use of the i-th frequency band; D max represents the maximum allowable frequency of use; β represents the frequency of use impact index;

[0096] Complete A i After calculating the efficiency of the communication path, the communication link quality and frequency band adaptability factors are combined based on these scores, and environmental changes, system stability and regulatory restrictions are introduced. The speed and accuracy of information transmission for key tasks are optimized through intelligent routing selection algorithms and instant response mechanisms. A preliminary optimal communication path solution is generated to calculate the efficiency score E. i Provide input;

[0097]

[0098] E i represents the utilization efficiency score of the i-th frequency band; Q i Indicates the communication link quality of the i-th frequency band; F i A represents the adaptability factor of the i-th frequency band; i represents the adaptability score of the i-th frequency band; A min represents the lowest frequency band adaptability score; α represents the adaptability score sensitivity coefficient; μ represents the variable condition coefficient; V i represents the environmental change impact factor of the i-th frequency band; φ represents the system stability coefficient; S i represents the system stability evaluation of the i-th frequency band; γ represents the frequency penalty coefficient; D i represents the frequency of use of the i-th frequency band; θ represents the regulatory restriction coefficient; L irepresents the degree of restriction on the use of the i-th frequency band under international waters regulations; ψ represents the cost-effectiveness coefficient; C i represents the cost-effectiveness evaluation of the ith frequency band;

[0099] After calculating E i Finally, the adaptability and utilization efficiency scores of all frequency bands are integrated, and different mission requirements and regulatory constraints are taken into consideration to conduct a comprehensive assessment and adjust the final communication resource configuration; the final generated frequency band adaptability score table will guide the optimal configuration of maritime communication resources and ensure efficient and reliable communication planning and implementation.

[0100] To achieve this goal, the present invention employs two core formulas to quantitatively assess frequency band adaptability and utilization efficiency. These formulas comprehensively consider multiple factors, including but not limited to communication link quality, frequency band adaptability, historical usage performance, priority, environmental changes, system stability, and regulatory restrictions. These formulas generate a detailed frequency band adaptability score sheet, guiding the optimal allocation of maritime communication resources and significantly improving the performance and reliability of communication systems.

[0101] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0102]

[0103] (1+η×P i ): This item is used to adjust the priority of different frequency bands. By introducing the priority coefficient η and the frequency band priority P i The system can dynamically adjust the frequency band selection based on the importance and urgency of the mission, ensuring that critical missions (such as emergency rescue and the transportation of important supplies) have priority access to high-quality communication resources. This not only improves the response speed of the communication system, but also enhances the ability to respond to emergencies.

[0104] (1+ω×H i ): This sub-item comprehensively considers the historical usage performance of the frequency band i By introducing the historical performance weight ω, the system can evaluate the reliability of the current frequency band based on its past performance. Frequency bands with good historical performance are more likely to continue to perform well in the future and are therefore given a higher weight in the scoring. This helps select frequency bands with proven, stable performance, improving overall communication quality.

[0105] This item is used to measure the expected usage time T of the frequency band. i The average expected usage time T of all frequency bands avgDeviations are calculated and adjusted using the time sensitivity factor λ. If the expected usage time of a frequency band approaches or exceeds the average, its adaptability score increases accordingly; otherwise, it decreases. This ensures that the system can flexibly respond to communication needs in different time periods, optimize resource allocation, and avoid overuse or idleness of certain frequency bands.

[0106] This sub-item takes into account the frequency of use of the frequency band D i and its relative to the maximum permitted frequency D max The ratio is adjusted by the usage frequency impact index β. When the usage frequency of a frequency band approaches the maximum allowed value, its adaptability score will be significantly reduced to prevent band overload and potential communication quality issues. At the same time, lower usage frequencies can receive higher scores, encouraging the rational use of spectrum resources and maintaining system stability and efficiency.

[0107] The following is a brief introduction to how to obtain the parameters of this formula:

[0108] η is set by the system administrator according to the task type; P i Assigned by the user or the system automatically based on the importance and urgency of the task. ω is set based on statistical analysis; H i Extracted from historical communication records, reflecting the success rate and stability of the frequency band in the past period of time; λ is set based on statistical analysis; T i Prediction by ship's voyage plan; T avg Calculate the average expected usage time of all frequency bands as a benchmark comparison value; D i Extracted from real-time communication records; D max The maximum allowable value set according to international standards or systems; β is set based on experience to adjust the impact of frequency usage in the frequency band.

[0109] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0110]

[0111] This sub-item is used to measure the frequency band adaptability score A i Impact on the efficiency score. By introducing the adaptability score sensitivity coefficient α, the system can adjust the actual adaptability score of the frequency band according to the difference between the actual adaptability score and the minimum qualified score A. min The gap between A and B is adjusted dynamically. i Significantly higher than A min When A is close to 1, it means the adaptability of the frequency band is very good; on the contrary, if A i Close to or below A min, the sub-item is close to 0, reducing the efficiency score of the frequency band. This ensures that only those frequency bands that have been verified and have strong adaptability can obtain high efficiency scores;

[0112] (1+μ×V i ): This sub-item considers the impact of external environmental changes on frequency band performance. By introducing the variable condition coefficient μ and the environmental change impact factor V i The system can evaluate the impact of current environmental conditions (such as weather and electromagnetic interference) on the quality of the communication link. Frequency bands with large environmental changes may face more interference and uncertainty, so their scores need to be appropriately lowered. Conversely, frequency bands with stable environments can receive higher scores. This helps select frequency bands that perform best in the current environment and improve communication reliability and stability.

[0113] (1+φ×S i ): This item is used to evaluate the overall stability of the system. By introducing the system stability coefficient φ and the system stability evaluation S i The system can comprehensively consider the stable performance of frequency bands in different tasks. Frequency bands with high system stability are more likely to continue to perform well in the future and are therefore given higher weight in the scoring. This helps select frequency bands with proven and stable performance, improving overall communication quality.

[0114] (1+γ×D i ): This sub-item takes into account the frequency of use of the frequency band D i Impact on its score. By introducing the frequency penalty coefficient γ, the system can appropriately reduce the score of a frequency band when it is frequently used to prevent frequency band overload and potential communication quality issues. Frequently used frequency bands may lead to resource constraints and performance degradation, so their scores need to be appropriately reduced to encourage the rational use of spectrum resources and maintain system stability and efficiency.

[0115] (1+θ×L i ): This sub-item is used to consider the impact of international water regulations on frequency band usage. By introducing the regulatory restriction coefficient θ and the degree of use restriction L i The system can adjust the frequency band score based on international regulatory requirements. Some frequency bands may be subject to strict restrictions in specific waters or time periods, which can increase the cost and complexity of use. Therefore, the score of frequency bands with more restrictions should be appropriately lowered to avoid violating regulations or increasing unnecessary risks. This helps select frequency bands that meet regulatory requirements and are easy to operate, ensuring the legality and security of communications.

[0116] (1+ψ×C i ):This sub-item is used to evaluate the cost-effectiveness of the frequency band. By introducing the cost-effectiveness coefficient ψ and the cost-effectiveness evaluation C iThe system can comprehensively consider the economic benefits of frequency bands. Frequency bands with high cost-effectiveness not only have superior performance but are also more economically attractive, and therefore receive a higher weight in the scoring. This helps select frequency bands with the highest cost-effectiveness, optimize resource allocation, and improve the economic benefits of the system.

[0117] The following is a brief introduction to how to obtain the parameters of this formula:

[0118] α is set according to statistical analysis; A i Calculated by the frequency band adaptability scoring formula; A min Set as the minimum pass mark, usually determined based on historical data and experiments; μ is set based on statistical analysis; V i Extracted from real-time environmental monitoring data, reflecting the environmental changes in the frequency band area; φ is set based on statistical analysis; S i Extracted from system logs and historical data, reflecting the stability performance of the frequency band in the past period; γ is set based on statistical analysis; D i Extracted from real-time communication records, reflecting the frequency of frequency band usage; θ is set according to international regulations; L i Determined according to international waters regulations and relevant standards, reflecting the degree of restriction on the use of the frequency band; ψ is set according to the economic model; C i Through economic model evaluation, the economic benefits of the frequency band are reflected, including equipment costs, operating costs and expected returns.

[0119] Assume that an ocean-going freighter is crossing the North Pacific. The system first conducts an in-depth analysis of the preliminary frequency band assessment results and comprehensively considers the communication link quality Q i , frequency band adaptability F i 、Historical usage performance i , frequency band priority P i and environmental change factors V i , assigning a preliminary adaptability factor F to each frequency band i , and calculate the frequency band adaptability score A i For example, for the first frequency band:

[0120]

[0121] Complete A i After calculating the communication link quality and frequency band adaptability factors, and introducing environmental changes, system stability and regulatory restrictions, the system optimizes the information transmission speed and accuracy of key tasks through intelligent routing selection algorithms and instant response mechanisms, generates a preliminary optimal communication path solution, and calculates the efficiency score E. i Provide input. For example, for the 1st band:

[0122]

[0123] After calculating E i Finally, the system integrates the adaptability and efficiency scores of all frequency bands, taking into account different mission requirements and regulatory constraints, to conduct a comprehensive assessment and adjust the final communication resource allocation. The resulting frequency band adaptability score table will guide the optimal allocation of maritime communication resources, ensuring efficient and reliable communication planning and implementation. Through these steps, the system not only improves the scientific and rationality of frequency band allocation, but also significantly enhances the stability and reliability of the communication system, meeting the needs of efficient communication in complex marine environments.

[0124] Through the above steps, the system not only achieves a scientific and rational allocation of frequency band resources, but also ensures the security and stability of the communication link through an intelligent spectrum allocation algorithm and an immediate response mechanism, significantly improving the overall performance of the communication system and its ability to respond to emergencies. Specifically, assuming a threshold of 0.8, the calculation results show that A1 = 0.76 and E1 = 0.88, indicating that the adaptability and utilization efficiency of frequency band 1 have reached a high level. In particular, E1 exceeds the set threshold, indicating that this frequency band is very suitable for the current mission requirements, thereby ensuring the efficiency and reliability of the communication path.

[0125] To address the security, integrity, and reliability issues of data transmission, in some embodiments, after establishing a secure and stable bidirectional data channel based on the optimized communication resource configuration scheme in step 103, an adaptive encryption transmission protocol is used to ensure information security. Meanwhile, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Furthermore, communication performance monitoring technology is used to continuously monitor key indicators during data transmission to obtain an efficient and reliable communication path, including:

[0126] Based on the optimized communication resource configuration scheme, the establishment parameters of the two-way data channel are configured and optimized to ensure the security and stability of the communication link, thereby obtaining a safe and stable two-way data channel; utilizing the safe and stable two-way data channel, an adaptive encryption transmission protocol is adopted to encrypt the information transmission process to ensure information security and generate an encrypted communication path; according to the encrypted communication path, an artificial intelligence-driven forward error correction mechanism is applied to automatically detect and correct errors in the data transmission process, thereby enhancing the integrity and reliability of data transmission and obtaining a reliable data transmission path; based on the reliable data transmission path, communication performance monitoring technology is applied to continuously monitor key indicators in the data transmission process to obtain an efficient and reliable communication path.

[0127] In this embodiment, the optimized communication resource allocation scheme covers frequency band selection and configuration to ensure the optimal performance of the communication link; the establishment parameters of the two-way data channel include communication frequency, bandwidth, modulation mode, etc., to ensure the security and stability of the communication link; the adaptive encryption transmission protocol dynamically adjusts the encryption strategy according to the communication environment to ensure the security of information transmission; the artificial intelligence-driven forward error correction mechanism automatically detects and corrects transmission errors, improving the integrity and reliability of data transmission; the communication performance monitoring technology tracks key indicators such as bit error rate and latency in real time to ensure the efficiency and reliability of data transmission.

[0128] In an embodiment of the present application, first, based on the optimized communication resource configuration scheme, the establishment parameters of the bidirectional data channel are configured and optimized to ensure the security and stability of the communication link and obtain a safe and stable bidirectional data channel; secondly, using the safe and stable bidirectional data channel, an adaptive encryption transmission protocol is used to encrypt the information transmission process to ensure information security and generate an encrypted communication path; again, based on the encrypted communication path, an artificial intelligence-driven forward error correction mechanism is applied to automatically detect and correct errors in the data transmission process, thereby enhancing the integrity and reliability of data transmission and obtaining a reliable data transmission path; finally, based on the reliable data transmission path, communication performance monitoring technology is applied to continuously monitor key indicators in the data transmission process to obtain an efficient and reliable communication path.

[0129] Here's a specific example:

[0130] Imagine an ocean-going cargo ship traversing the South China Sea. First, based on an optimized communication resource allocation scheme, the system configures and optimizes the parameters for establishing a two-way data channel (such as communication frequency, bandwidth, and modulation mode), ensuring the security and stability of the communication link and establishing a secure and stable two-way data channel. Second, utilizing this two-way data channel, the system employs an adaptive encryption transmission protocol, dynamically adjusting the encryption strategy based on the actual communication environment to ensure the security of information transmission and generate an encrypted communication path. Third, based on this encrypted communication path, the system activates an AI-driven forward error correction mechanism to automatically detect and correct errors that may occur during transmission, improving the integrity and reliability of data transmission and obtaining a reliable data transmission path. Finally, based on this reliable data transmission path, the system applies communication performance monitoring technology to monitor key indicators such as bit error rate and latency in real time, ensuring the efficiency and reliability of data transmission. Through these steps, the system not only ensures the security of communication but also significantly enhances the integrity and reliability of data transmission, meeting the needs of efficient communication in complex marine environments.

[0131] In order to solve the problem of insufficient performance monitoring during data transmission and ensure the efficiency and reliability of the communication path, in some embodiments, based on the reliable data transmission path, communication performance monitoring technology is applied to continuously monitor key indicators in the data transmission process to obtain an efficient and reliable communication path, including:

[0132] Based on the reliable data transmission path, communication performance monitoring technology is applied to collect and process key indicators in the data transmission process in real time to obtain an original performance data set; wherein, the key indicators include bit error rate and delay; based on the original performance data set, combined with preset performance thresholds and historical communication performance records, the current communication performance is quantitatively evaluated and processed to generate a communication performance evaluation report; using the communication performance evaluation report, potential performance issues and their influencing factors are identified through an intelligent analysis algorithm, and optimization suggestions are proposed to obtain a performance optimization plan; based on the performance optimization plan, communication parameters and resource configuration are dynamically adjusted to ensure that the data transmission process is continuously efficient and reliable, thereby obtaining an efficient and reliable communication path.

[0133] In this embodiment, a reliable data transmission path refers to a communication link that has been optimized and error-corrected, which is used to ensure the integrity and reliability of data transmission; the original performance data set includes key performance indicators (such as bit error rate and latency) collected in real time, which are used to evaluate the current communication performance; the communication performance evaluation report combines preset performance thresholds and historical communication performance records to quantitatively evaluate the current communication performance; the performance optimization plan identifies potential performance problems and their influencing factors through intelligent analysis algorithms, and makes optimization suggestions; dynamic adjustment of communication parameters and resource configuration is real-time adjustment of the communication system according to the performance optimization plan to ensure continued high efficiency and reliability of data transmission.

[0134] In an embodiment of the present application, first, based on the reliable data transmission path, communication performance monitoring technology is applied to collect and process key indicators in the data transmission process in real time to obtain an original performance data set; secondly, based on the original performance data set, combined with preset performance thresholds and historical communication performance records, the current communication performance is quantitatively evaluated and processed to generate a communication performance evaluation report; the communication performance evaluation report is again used to identify potential performance problems and their influencing factors through an intelligent analysis algorithm, and optimization suggestions are put forward to obtain a performance optimization plan; finally, based on the performance optimization plan, communication parameters and resource configurations are dynamically adjusted to ensure that the data transmission process is continuously efficient and reliable, and an efficient and reliable communication path is obtained.

[0135] Here's a specific example:

[0136] Consider an ocean-going cargo ship crossing the Indian Ocean. First, based on an established reliable data transmission path, the system applies communication performance monitoring technology to collect and process key metrics (such as bit error rate and latency) during data transmission in real time, generating a raw performance dataset. Second, based on this raw performance dataset, combined with preset performance thresholds and historical communication performance records, it quantitatively evaluates current communication performance and generates a detailed communication performance evaluation report. Using this evaluation report, an intelligent analysis algorithm identifies potential performance issues and their influencing factors. For example, it discovers that an abnormally high bit error rate during certain periods may be due to electromagnetic interference, and proposes corresponding optimization suggestions, forming a performance optimization plan. Finally, based on the performance optimization plan, the system dynamically adjusts communication parameters (such as modulation mode and power control) and resource allocation (such as frequency band switching) to ensure the continued efficiency and reliability of the data transmission process. Through these steps, the system not only monitors communication performance in real time but also quickly responds to and resolves potential issues, thereby ensuring the efficiency and reliability of the communication path.

[0137] This application takes into account that the existing technology has insufficient error detection and correction capabilities during data transmission, resulting in low integrity and reliability of the communication system. In particular, in complex marine environments, the impact of frequency band adaptability and environmental changes on data transmission is more significant. Therefore, the embodiment of the present invention proposes this optional solution to solve the technical problem that traditional error correction mechanisms are static and lack flexibility. By introducing an artificial intelligence-driven forward error correction mechanism and a multi-dimensional scoring system, the system can dynamically evaluate and optimize the transmission path of each data packet, ensuring efficient and reliable data transmission and improving the speed and accuracy of information transmission.

[0138] Optionally, applying an artificial intelligence-driven forward error correction mechanism based on the encrypted communication path to automatically detect and correct errors during data transmission, thereby enhancing the integrity and reliability of data transmission and obtaining a reliable data transmission path, includes:

[0139] In calculating the error detection score S for each data packet j Previously, a detailed analysis of the encrypted communication path was required to evaluate the initial error probability, the number of known errors, the historical transmission success rate, the impact of environmental conditions, and frequency band adaptability to ensure that the score fully reflects the actual transmission performance of each data packet;

[0140]

[0141] Among them, S j represents the error detection score of the jth packet; P j represents the initial error probability of the jth data packet; α1 represents the error sensitivity coefficient; E jrepresents the number of known errors in the jth data packet; E min represents the minimum acceptable number of errors; ω1 represents the historical performance weight; H j represents the historical transmission success rate of the jth data packet; κ1 represents the environmental impact coefficient; V j represents the environmental conditions when the jth data packet is transmitted; β1 represents the retransmission penalty coefficient; R j represents the number of retransmissions of the jth data packet; η1 represents the time sensitivity coefficient; T j represents the transmission time of the jth data packet; λ1 represents the frequency band adaptability factor; F j Indicates the adaptability of the frequency band used by the jth data packet;

[0142] Complete S j After the calculation of the data reliability score R, based on these scores combined with system stability assessment, cost-effectiveness assessment, transmission delay, equipment load and regulatory constraints, taking into account user priorities, a preliminary optimal transmission plan is generated. j Provide necessary input;

[0143]

[0144] Among them, R j represents the data reliability score of the jth data packet; S j represents the error detection score of the jth packet; S min represents the minimum error detection score; γ2 represents the detection score sensitivity coefficient; δ2 represents the system stability coefficient; Q j represents the system stability evaluation of the jth data packet; φ2 represents the cost-effectiveness coefficient; C j represents the cost-benefit evaluation of the jth data packet; θ2 represents the delay penalty coefficient; L j represents the transmission delay of the jth data packet; ψ2 represents the device load factor; D j represents the device load of the jth data packet; ρ2 represents the regulatory restriction coefficient; B j represents the impact of regulatory constraints on the transmission of the jth data packet; σ2 represents the user priority coefficient; Z j Indicates the user priority of the j-th data packet.

[0145] After calculating R j Finally, the scoring results of all data packets are integrated, and the different mission requirements and regulatory constraints are comprehensively evaluated to confirm and adjust the final communication resource configuration. A comprehensive assessment is conducted through historical successful experiences and lessons learned to generate reliable data transmission paths, guide the optimization of maritime communication planning and implementation, and ensure the speed and accuracy of information transmission.

[0146] To achieve this goal, the present invention employs two core formulas to quantitatively assess the error detection and data reliability of each data packet. These formulas comprehensively consider a variety of influencing factors, including but not limited to initial error probability, known error counts, historical transmission success rates, environmental impacts, frequency band adaptability, system stability, cost-effectiveness, transmission latency, equipment load, and regulatory constraints. These formulas generate detailed error detection and data reliability score tables, guiding the optimal allocation of maritime communication resources and significantly improving the performance and reliability of communication systems.

[0147] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0148]

[0149] Initial error probability P j : reflects the inherent error rate of the data packet before transmission; error sensitivity adjustment factor Measuring the impact of the number of known errors on the score, by introducing the error sensitivity coefficient α1, the system can be based on the actual number of known errors E in the frequency band j The minimum acceptable error number E min The gap between the two is adjusted dynamically; the historical performance adjustment factor (1+ω1×H j ): Considering the impact of historical transmission success rate, by introducing the historical performance weight ω1, the system can evaluate the reliability of the current data packet based on past performance; environmental impact adjustment factor (1+κ1×V j ):Evaluate the changes in the external environment. By introducing the environmental impact coefficient κ1, the system can consider the impact of environmental conditions during frequency band transmission on V j , to ensure that the score fully reflects the actual transmission performance of each data packet; the retransmission penalty adjustment factor (1+β1×R j ):Reducing the negative impact of frequent retransmissions, by introducing the retransmission penalty coefficient β1, the system can retransmit the number of times R in the frequency band j When the score is high, it is appropriately lowered to prevent frequency band overload and potential communication quality problems; the time sensitivity adjustment factor (1+η1×T j ):Measure the impact of transmission time. By introducing the time sensitivity coefficient η1, the system can consider the frequency band transmission time T j , ensuring that the score reflects the transmission efficiency; the frequency band adaptability adjustment factor (1+λ1×F j Considering the influence of frequency band adaptability, by introducing the frequency band adaptability factor λ1, the system can evaluate the frequency band adaptability F used by the data packet. j , make sure to choose frequency bands that are proven and adaptable.

[0150] The following is a brief introduction to how to obtain the parameters of this formula:

[0151] P j Obtained through actual measurement or simulation test; α1 and E min According to the statistical analysis setting; E j Extracted from real-time monitoring data; ω1 and H j Extracted from historical communication records; κ1 and V j Extracted from real-time environmental monitoring data; β1 is set based on statistical analysis; R j Extracted from real-time communication records; η1 and T j Extracted from real-time communication records; λ1 and F j Determined based on current environmental conditions and mission requirements.

[0152] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0153]

[0154] Detection score sensitivity adjustment factor Measuring the impact of error detection score on the results, by introducing the detection score sensitivity coefficient γ2, the system can be based on the error detection score S of the data packet j With the minimum passing score S min The gap between the two is dynamically adjusted to ensure that only those verified and adaptable data packets can obtain higher reliability scores; the system stability adjustment factor (1+δ2×Q j ): Adjust the impact of system stability. By introducing the system stability coefficient δ2, the system can comprehensively consider the stable performance of the frequency band in different tasks. The frequency band with high system stability is more likely to continue to perform well in the future, so it is given a higher weight in the score; Cost-effectiveness adjustment factor (1+φ2×C j ): Considering economic benefits, by introducing the cost-effectiveness coefficient φ2, the system can evaluate the cost-effectiveness of the data packet C j , cost-effective frequency bands not only have superior performance but are also more economically attractive, so they are given higher weight in the scoring; the delay penalty adjustment factor (1+θ2×L j ): Reduce the impact of transmission delay, by introducing the delay penalty coefficient θ2, the system can transmit the delay L in the frequency band j If the score is high, it should be lowered appropriately to ensure fast and reliable data transmission; the device load adjustment factor (1+ψ2×D j ):Adjust the impact of equipment load. By introducing the equipment load coefficient ψ2, the system can take into account the load condition of the equipment D j , to prevent equipment overload and potential communication quality issues; regulatory restrictions on the adjustment factor (1 + ρ2 × Bj ):Adjust the impact of regulatory constraints. By introducing the regulatory restriction coefficient ρ2, the system can adjust the frequency band score according to international regulatory requirements to ensure the legality and security of communications; user priority adjustment factor (1+σ2×Z j ):Adjust the impact of user priority. By introducing the user priority coefficient σ2, the system can set the user priority Z according to the importance and urgency of the task. j , ensuring that critical tasks have priority access to high-quality communication resources.

[0155] The following is a brief introduction to how to obtain the parameters of this formula:

[0156] γ2 and S min According to the statistical analysis setting; S j Calculated by the error detection score formula; δ2 and Q j Extracted from system logs and historical data; φ2 and C j Evaluated by economic model; θ2 and L j Extracted from real-time communication records; ψ2 and D j Extracted from real-time communication records; ρ2 and B j Set according to international regulations; σ2 and Z j Set by the user or system administrator.

[0157] Assume that an ocean freighter is crossing the North Pacific. The system first analyzes the encrypted communication path in detail and estimates the initial error probability P j , the number of known errors E j , historical transmission success rate H j 、Environmental conditions affect V j and frequency band adaptability F j , ensuring that the score fully reflects the actual transmission performance of each data packet, and calculating the error detection score S for each data packet j For example, for the first packet:

[0158]

[0159] Complete S j After the calculation of the system, the system is combined with the system stability evaluation Q j , cost-benefit evaluation C j , transmission delay L j , Equipment load condition D j and regulatory constraints B j , considering user priority Z j , generate a preliminary optimal transmission plan, and calculate the data reliability score R j Provide the necessary input. For example, for the first packet:

[0160]

[0161] After calculating R j Finally, the system integrates the scoring results of all data packets, comprehensively assesses different mission requirements and regulatory constraints, and confirms and adjusts the final communication resource allocation. This comprehensive assessment, drawing on historical successes and lessons learned, generates reliable data transmission paths, guiding the optimization of maritime communication planning and implementation, and ensuring the speed and accuracy of information transmission.

[0162] Through the above steps, the system not only achieves a dynamic assessment of error detection and correction capabilities during data transmission, but also ensures the integrity and reliability of data transmission through an AI-driven forward error correction mechanism and a multi-dimensional scoring system. Specifically, assuming a threshold of 0.8, the calculation results show that the error detection score S1 = 0.78 and the data reliability score R1 = 0.92 for a certain data packet indicate that the transmission performance of this data packet is excellent, far exceeding the set threshold. This shows that its transmission path selection is scientific and reasonable, thus ensuring the efficiency and reliability of the communication path. This design not only improves the integrity and reliability of data transmission, but also significantly enhances the stability of the communication system and its ability to respond to emergencies.

[0163] To address the issues of inadequate communication path planning and low information transmission efficiency, in some embodiments, step 104 integrates the efficient and reliable communication path with real-time vessel position information and shore-based support systems, utilizes an intelligent routing algorithm to plan the optimal communication path, and ensures the speed and accuracy of information transmission through an immediate response mechanism, thereby generating a fully optimized maritime communication solution, including:

[0164] The efficient and reliable communication path is integrated with real-time ship position information and shore-based support systems to conduct a comprehensive analysis of communication needs and resources to obtain a comprehensive overview of the communication environment. Based on the comprehensive overview of the communication environment, combined with regulatory constraints and channel restrictions in international waters, an intelligent routing algorithm is used to plan and process the optimal communication path to generate a preliminary optimal communication path solution. Based on the preliminary optimal communication path solution, an immediate response mechanism is introduced to optimize the speed and accuracy of information transmission for critical tasks to ensure rapid response in various situations and obtain an optimized communication path solution. Among them, critical tasks include emergency rescue and transportation of important materials. The optimized communication path solution is used in combination with the successful experiences and lessons learned from historical communication cases to conduct a comprehensive evaluation and adjustment to generate a fully optimized maritime communication solution.

[0165] In this embodiment, an efficient and reliable communication path refers to a communication link that has been optimized and ensures the integrity and reliability of data transmission; real-time ship position information includes dynamic data such as the position, heading and speed of the freighter, which is used to accurately grasp the real-time status of the ship; the shore-based support system covers ground stations, satellites and other auxiliary facilities, providing communication management and technical support; a comprehensive communication environment overview comprehensively analyzes communication needs and resources, reflecting the overall status of the current communication environment; international water regulatory constraints and channel restrictions specify the laws, regulations and navigation rules that communications must comply with; the preliminary optimal communication path plan is a preliminary plan generated based on an intelligent routing selection algorithm; the immediate response mechanism ensures the speed and accuracy of information transmission for critical tasks (such as emergency rescue and transportation of important materials); the successful experiences and lessons learned from historical communication cases are used to evaluate and adjust the final communication solution.

[0166] In an embodiment of the present application, first, the efficient and reliable communication path is integrated with the real-time ship position information and the shore-based support system, and the communication needs and resources are comprehensively analyzed and processed to obtain a comprehensive overview of the communication environment; secondly, based on the comprehensive overview of the communication environment, combined with the regulatory constraints and channel restrictions of international waters, the optimal communication path is planned and processed using an intelligent routing selection algorithm to generate a preliminary optimal communication path solution; again, based on the preliminary optimal communication path solution, an immediate response mechanism is introduced to optimize the speed and accuracy of information transmission for critical tasks to ensure rapid response in various situations and obtain an optimized communication path solution; finally, the optimized communication path solution is used, combined with the successful experiences and lessons learned from historical communication cases, to conduct a comprehensive evaluation and adjustment to generate a fully optimized maritime communication solution.

[0167] Here's a specific example:

[0168] Consider an ocean-going cargo ship crossing the Atlantic Ocean. The system first integrates established efficient and reliable communication paths with real-time ship position information (such as GPS coordinates, heading, and speed) and shore-based support systems (such as ground stations and satellites). It then conducts a comprehensive analysis of communication requirements and resources, generating a comprehensive overview of the communication environment. Based on this overview and incorporating regulatory constraints and navigational restrictions in international waters, it then utilizes an intelligent routing algorithm to plan the optimal communication path, generating a preliminary optimal communication path solution. Based on this preliminary optimal communication path solution, the system introduces an immediate response mechanism to optimize the speed and accuracy of information transmission for critical missions (such as emergency rescue and the transportation of vital supplies), ensuring a rapid response in any emergency situation. This results in an optimized communication path solution. Finally, using this optimized communication path solution, the system conducts a comprehensive evaluation and adjustment based on successful experiences and lessons learned from historical communication cases, ultimately generating a fully optimized maritime communication solution. Through these steps, the system not only accurately plans the optimal communication path but also ensures the speed and accuracy of information transmission for critical missions through an immediate response mechanism, significantly improving the overall performance of the communication system and its ability to respond to emergencies.

[0169] In summary, steps 101 to 104 cover the entire process from comprehensive data analysis to frequency band optimization selection, to the establishment of a secure and stable communication path, and finally to optimal communication path planning. They aim to provide a fully optimized maritime communication solution that meets the needs of efficient, reliable, and rapidly responsive communication in complex marine environments, significantly improving the overall performance of the communication system and its ability to respond to emergencies.

[0170] Figure 2 The present invention provides a structural diagram of an artificial intelligence-based maritime communication optimization system, as shown in FIG. Figure 2 As shown, the device includes:

[0171] Analysis module 21 is used to comprehensively analyze and process historical communication records, real-time ocean environment parameters, ship dynamic information, and sea traffic flow to obtain a communication quality report. The communication quality report reflects the quality of the current communication link and potential interference factors, and estimates the change trend in the future period;

[0172] Processing module 22 is configured to optimize the selection of available frequency bands based on the communication quality report and the vessel's navigation plan using an intelligent spectrum allocation algorithm, further improve the scientificity and rationality of frequency band allocation using spectrum efficiency analysis technology, and generate an optimized communication resource configuration plan;

[0173] Monitoring module 23 is configured to establish a secure and stable bidirectional data channel based on the optimized communication resource configuration scheme, employ an adaptive encryption transmission protocol to ensure information security, enhance the integrity and reliability of data transmission through an artificial intelligence-driven forward error correction mechanism, and apply communication performance monitoring technology to continuously monitor key indicators during data transmission, thereby achieving an efficient and reliable communication path;

[0174] The planning module 24 is used to integrate the efficient and reliable communication path with the real-time ship position information and shore-based support system, use the intelligent routing algorithm to plan the best communication path, ensure the speed and accuracy of information transmission through the instant response mechanism, and generate a fully optimized maritime communication solution. Figure 2 The artificial intelligence-based maritime communication optimization system can perform Figure 1 The implementation principles and technical effects of the AI-based maritime communications optimization method described in the illustrated embodiment are not further elaborated. The specific manner in which the various modules and units perform operations in the AI-based maritime communications optimization system described in the aforementioned embodiment have been described in detail in the related embodiments and will not be further elaborated here.

[0175] In one possible design, Figure 2 An artificial intelligence-based maritime communication optimization system of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0176] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0177] The processing component 32 is used to: comprehensively analyze and process historical communication records, real-time ocean environmental parameters, ship dynamic information, and sea traffic flow to obtain a communication quality report, which reflects the quality of the current communication link and potential interference factors, and estimates the changing trend in the future; based on the communication quality report and in combination with the ship's navigation plan, apply an intelligent spectrum allocation algorithm to optimize the selection of available frequency bands, and further improve the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology to generate an optimized communication resource allocation plan; based on the optimized communication resource allocation plan, after establishing a secure and stable two-way data channel, adopt an adaptive encryption transmission protocol to ensure information security, and at the same time enhance the integrity and reliability of data transmission through an artificial intelligence-driven forward error correction mechanism, and apply communication performance monitoring technology to continuously monitor key indicators during the data transmission process to obtain an efficient and reliable communication path; integrate the efficient and reliable communication path with real-time ship position information and shore-based support systems, use an intelligent routing selection algorithm to plan the optimal communication path, and use an instant response mechanism to ensure the speed and accuracy of information transmission to generate a fully optimized maritime communication solution.

[0178] The processing component 32 may include one or more processors to execute computer instructions to perform all or part of the steps in the above method. Of course, the processing component may also be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above method.

[0179] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0180] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0181] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0182] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0183] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0184] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 The embodiment shown is an artificial intelligence-based maritime communication optimization method.

[0185] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0186] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0187] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0188] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A maritime communication optimization method based on artificial intelligence, characterized in that: include: Comprehensively analyze and process historical communication records, real-time ocean environment parameters, ship dynamic information, and sea traffic flow to generate a communication quality report. The report reflects the quality of the current communication link and potential interference factors, and predicts future trends. Based on the communication quality report and in combination with the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to optimize the selection of available frequency bands. Spectrum utilization efficiency analysis technology is used to further improve the scientificity and rationality of frequency band allocation, thereby generating an optimized communication resource configuration plan. Based on the optimized communication resource configuration scheme, after establishing a secure and stable two-way data channel, an adaptive encryption transmission protocol is used to ensure information security. At the same time, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Communication performance monitoring technology is used to continuously monitor key indicators during the data transmission process, resulting in an efficient and reliable communication path. By integrating the efficient and reliable communication paths with real-time ship position information and shore-based support systems, an intelligent routing algorithm is used to plan the optimal communication path, and an instant response mechanism is used to ensure the speed and accuracy of information transmission, thus generating a fully optimized maritime communication solution.

2. The method according to claim 1, characterized in that The method comprises: applying an intelligent spectrum allocation algorithm to optimize the selection of available frequency bands based on the communication quality report and in combination with the ship's navigation plan; further improving the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology; and generating an optimized communication resource configuration plan, including: Performing a preliminary evaluation of the communication environment and interference conditions of the available frequency bands based on the communication quality report to obtain a preliminary frequency band evaluation result; Using the preliminary frequency band assessment results, combined with the estimated navigation path, time schedule, and communication requirements in the ship's navigation plan, an intelligent spectrum allocation algorithm is applied to quantitatively analyze the utilization efficiency and adaptability of each frequency band and generate a frequency band adaptability score sheet; Based on the frequency band adaptability score table, the spectrum utilization efficiency analysis technology is used to deeply analyze the historical usage and expected usage demand of the frequency band in different time periods to obtain a frequency band utilization efficiency analysis report; By utilizing the frequency band utilization efficiency analysis report, the quality of the communication link, the frequency band adaptability and the utilization efficiency are comprehensively considered to optimize the selection of available frequency bands, ensure the optimal configuration of communication resources in a complex marine environment, and generate an optimized communication resource configuration plan.

3. The method according to claim 2, characterized in that Based on the frequency band adaptability score table, the spectrum utilization efficiency analysis technology is used to deeply analyze the historical usage and expected usage requirements of the frequency band in different time periods to obtain a frequency band utilization efficiency analysis report, including: Based on the frequency band adaptability score table, data on historical frequency band usage in different time periods is collected and processed to obtain an original frequency band usage dataset; Based on the original frequency band usage dataset, combined with expected communication needs and the ship's navigation plan, spectrum usage efficiency analysis technology is used to quantitatively evaluate the usage efficiency of each frequency band in different time periods, and a frequency band usage efficiency score table for each time period is generated; Using the frequency band usage efficiency score table for the time period, an in-depth analysis is conducted on the matching degree between historical usage and expected usage demand, and the influencing factors of communication link quality, frequency band adaptability, and usage frequency are comprehensively considered to obtain the frequency band usage efficiency analysis results; Based on the frequency band utilization efficiency analysis results, the comprehensive performance of each frequency band in different time periods is integrated to form a comprehensive frequency band utilization efficiency analysis report.

4. The method according to claim 2, characterized in that The frequency band utilization efficiency analysis report is used to comprehensively consider the quality of the communication link, the frequency band adaptability and the utilization efficiency, optimize the selection of available frequency bands, ensure the optimal configuration of communication resources in a complex marine environment, and generate an optimized communication resource configuration plan, including: Using the frequency band utilization efficiency analysis report, a quantitative evaluation is performed on the comprehensive performance of each available frequency band in different time periods, taking into account factors affecting communication link quality, frequency band adaptability, and utilization efficiency, to obtain a comprehensive frequency band performance score; Based on the comprehensive performance score of the frequency bands, combined with real-time ocean environment parameters and ship navigation paths, a multi-dimensional performance optimization algorithm is applied to comprehensively evaluate the feasibility and reliability of each frequency band to generate a frequency band feasibility report; Based on the frequency band feasibility report, dynamically adjust the configuration plan of the selected frequency band through intelligent resource matching technology to obtain an optimized frequency band configuration plan; The optimized frequency band configuration scheme is used, combined with the ship communication requirements and the regulatory constraints of international waters, to confirm the final communication resource configuration and generate an optimized communication resource configuration scheme.

5. The method according to claim 1, wherein After establishing a secure and stable two-way data channel based on the optimized communication resource configuration scheme, an adaptive encryption transmission protocol is used to ensure information security. At the same time, an artificial intelligence-driven forward error correction mechanism is used to enhance the integrity and reliability of data transmission. Communication performance monitoring technology is used to continuously monitor key indicators during data transmission to obtain an efficient and reliable communication path, including: Based on the optimized communication resource configuration scheme, the establishment parameters of the bidirectional data channel are configured and optimized to ensure the security and stability of the communication link and obtain a safe and stable bidirectional data channel; Utilizing the secure and stable bidirectional data channel, an adaptive encryption transmission protocol is used to encrypt the information transmission process, thereby ensuring information security and generating an encrypted communication path; According to the encrypted communication path, an artificial intelligence-driven forward error correction mechanism is applied to automatically detect and correct errors in the data transmission process, thereby enhancing the integrity and reliability of data transmission and obtaining a reliable data transmission path; Based on the reliable data transmission path, communication performance monitoring technology is applied to continuously monitor and process key indicators in the data transmission process to obtain an efficient and reliable communication path.

6. The method according to claim 5, characterized in that The reliable data transmission path is based on which communication performance monitoring technology is applied to continuously monitor key indicators in the data transmission process to obtain an efficient and reliable communication path, including: Based on the reliable data transmission path, communication performance monitoring technology is applied to collect and process key indicators in the data transmission process in real time to obtain an original performance data set; wherein the key indicators include bit error rate and delay; Based on the original performance data set, combined with preset performance thresholds and historical communication performance records, a quantitative evaluation process is performed on the current communication performance to generate a communication performance evaluation report; Using the communication performance evaluation report, identify potential performance issues and their influencing factors through intelligent analysis algorithms, and propose optimization suggestions to obtain performance optimization solutions; Based on the performance optimization scheme, communication parameters and resource configuration are dynamically adjusted to ensure that the data transmission process is continuously efficient and reliable, thereby obtaining an efficient and reliable communication path.

7. The method according to claim 1, characterized in that The integration of efficient and reliable communication paths with real-time vessel position information and shore-based support systems, the use of intelligent routing algorithms to plan optimal communication paths, and the use of instant response mechanisms to ensure the speed and accuracy of information transmission, generate a fully optimized maritime communication solution, including: Integrate the efficient and reliable communication paths with real-time vessel position information and shore-based support systems to conduct a comprehensive analysis of communication needs and resources to obtain a comprehensive overview of the communication environment; Based on the comprehensive communication environment overview, combined with international waters regulations and waterway restrictions, an intelligent routing algorithm is used to plan and process the optimal communication path, generating a preliminary optimal communication path plan; Based on the preliminary optimal communication path plan, an immediate response mechanism is introduced to optimize the speed and accuracy of information transmission for key tasks, ensuring rapid response in all situations and obtaining an optimized communication path plan. Key tasks include emergency rescue and transportation of important supplies. By utilizing the optimized communication path solution and combining it with the successful experiences and lessons learned from historical communication cases, a comprehensive evaluation and adjustment is conducted to generate a fully optimized maritime communication solution.

8. An artificial intelligence-based maritime communication optimization system, characterized in that: include: An analysis module is used to comprehensively analyze and process historical communication records, real-time ocean environmental parameters, ship dynamic information, and sea traffic flow to generate a communication quality report. The report reflects the quality of the current communication link and potential interference factors, and predicts the change trend in the future; a processing module configured to optimize the selection of available frequency bands using an intelligent spectrum allocation algorithm based on the communication quality report and the vessel's navigation plan, further improve the scientificity and rationality of frequency band allocation through spectrum utilization efficiency analysis technology, and generate an optimized communication resource configuration plan; A monitoring module is configured to establish a secure and stable bidirectional data channel based on the optimized communication resource configuration scheme, employ an adaptive encryption transmission protocol to ensure information security, enhance the integrity and reliability of data transmission through an artificial intelligence-driven forward error correction mechanism, and apply communication performance monitoring technology to continuously monitor key indicators during data transmission, thereby achieving an efficient and reliable communication path; The planning module is used to integrate the efficient and reliable communication paths with real-time ship position information and shore-based support systems, use intelligent routing algorithms to plan the optimal communication paths, and ensure the speed and accuracy of information transmission through an immediate response mechanism to generate a fully optimized maritime communication solution.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement an artificial intelligence-based maritime communication optimization method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, an artificial intelligence-based maritime communication optimization method as described in any one of claims 1 to 7 is implemented.

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