Communication management method and system

Abstract

The invention relates to the technical field of communication management, in particular to a communication management method and system, and the method comprises the following steps: collecting overwater environment data in real time based on an overwater communication environment, obtaining weather forecast data in a future time period through weather forecast, extracting communication link node state data, and carrying out the data integration; and obtaining environment and link data. According to the invention, by predicting the weather and the communication link node state, communication faults can be timely identified and prevented, the continuity and stability of the communication link can be ensured, the reliability of the link can be evaluated by using the collected data, and the communication mode can be optimized according to the evaluation result. The whole communication system can automatically adjust and optimize the communication strategy when facing a complex and changeable environment, the control of the system on the communication state is enhanced through the real-time monitoring function, it is ensured that quick response and adjustment can be achieved when potential problems occur, and the communication quality is maintained.

Description

Technical Field

[0001] The present invention relates to the technical field of communication management, and in particular to a communication management method and system. Background Art

[0002] The field of communications management technology involves the capture, transmission, processing, and monitoring of signals, as well as the distribution and control of data. The core goal of communications management is to improve the efficiency, reliability, and security of communications systems. Technologies encompass both wired and wireless communication systems and are applicable to managing data flows in various environments and conditions. Key technologies include network configuration optimization, fault detection and response, data encryption, and rights management. Communications management also includes strategies to enhance network bandwidth utilization and reduce latency, ensuring efficient data exchange in multi-user and multi-device environments.

[0003] Traditional management methods focus on network configuration optimization and fault response, lacking the ability to immediately respond to environmental changes and comprehensively predict them. Existing technologies are unable to effectively anticipate and adapt to environmental challenges. This limitation leads to unstable communications at critical moments. Traditional methods struggle to maintain efficient data exchange and processing speeds in complex communication environments, impacting the operational efficiency and emergency response capabilities of the entire communication system, especially during critical moments when rapid and accurate information exchange is required. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a communication management method and system.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: a communication management method, comprising the following steps:

[0006] S1: Based on the water communication environment, it collects water environment data in real time, obtains weather forecast data for future periods through weather forecasts, extracts communication link node status data, and integrates the data to obtain environment and link data;

[0007] S2: Based on the environment and link data, analyze the reliability of differentiated ground-sea communication links in a future period, identify communication links whose reliability is lower than a preset threshold, and obtain link reliability analysis results;

[0008] S3: Based on the link reliability analysis results, combined with the signal strength, transmission speed, and energy consumption indicators of the differentiated communication links, the overall effect of the differentiated communication links is evaluated, and a target communication link is selected to perform ground-to-sea communication, thereby obtaining a communication mode selection result;

[0009] S4: Based on the communication mode selection result and the environment and link data, adjusting the communication protocol parameters of the communication device, and adjusting the power output of the signal according to the current environment to obtain a signal compensation adjustment result;

[0010] S5: Based on the signal compensation adjustment result, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time, and whether the current communication link has achieved the expected goal is evaluated, and whether the communication link needs to be adjusted to obtain communication link performance evaluation information.

[0011] As a further solution of the present invention, the environmental and link data include temperature values, humidity percentages, wave height measurements, signal strength indexes, and transmission speed information; the link reliability analysis results include link reliability scores, probability of failure points, and expected link interruption time points; the communication mode selection results include the selected communication mode type, the maximum transmission speed supported by the mode, and the energy consumption level corresponding to the mode; the signal compensation adjustment results include adjusted signal power and frequency adjustment values; and the communication link performance evaluation information includes signal quality, data transmission rate, and communication delay and performance improvement information.

[0012] As a further solution of the present invention, based on the water communication environment, the water environment data is collected in real time, and the weather forecast data for the future period is obtained through the weather forecast, and the communication link node status data is extracted and integrated to obtain the environment and link data. The specific steps are:

[0013] S101: Based on the water communication environment, temperature and humidity sensors and wave height measurement equipment are deployed at the target location to monitor the current water environment data in real time and obtain a real-time environmental monitoring dataset;

[0014] S102: Based on the real-time environmental monitoring data set, obtain the predicted data of wind speed, air pressure, temperature and wave height in the future target period through the weather forecast API interface to obtain a predicted environmental data set;

[0015] S103: Based on the real-time environment monitoring data set and the predicted environment data set, the current online status of the communication link node and the fault history records in the past 24 hours are extracted from the communication database, and the data are integrated to obtain environment and link data.

[0016] As a further solution of the present invention, based on the environment and link data, the reliability of differentiated ground-sea communication links in a future period is analyzed, and communication links with reliability below a preset threshold are identified. The steps of obtaining link reliability analysis results are specifically as follows:

[0017] S201: Based on the environment and link data and the predicted weather conditions, analyze the impact of future weather conditions on differentiated communication nodes, predict the type and risk level of faults encountered by the nodes, and obtain a node impact prediction result;

[0018] S202: Analyze the reliability of the differentiated sky-sea communication link in the future period based on the node impact prediction result, evaluate the reliability level of the differentiated communication link, and obtain link reliability evaluation information;

[0019] S203: Based on the link reliability evaluation information, the link reliability is compared with a preset communication reliability threshold, communication links with reliability lower than the preset threshold are identified and marked, and a link reliability analysis result is obtained.

[0020] As a further solution of the present invention, the formula for evaluating the reliability level of the differentiated communication link is:

[0021]

[0022] Where R represents the reliability level of the link, f represents the number of failures under similar historical conditions, s represents the signal stability index, d represents the mean repair time, and w1, w2, and w3 are weight coefficients.

[0023] As a further solution of the present invention, based on the link reliability analysis results, combined with the signal strength, transmission speed and energy consumption indicators of the differentiated communication links, the overall effect of the differentiated communication links is evaluated, and the target communication link is selected to perform ground-sea communication. The steps of obtaining the communication mode selection result are specifically as follows:

[0024] S301: Based on the link reliability analysis results, collect the signal strength, transmission speed and energy consumption data of each communication link, perform data standardization processing, optimize data consistency, and obtain a standardized communication link performance data set;

[0025] S302: Based on the standardized communication link performance data set and in combination with link reliability, evaluate the performance score of each link under the predicted future environment to obtain a link scoring result;

[0026] S303: Based on the link scoring results, select the communication link with the highest score, configure the communication link as the target communication path, perform ground-to-sea communication, and obtain a communication mode selection result.

[0027] As a further solution of the present invention, the formula for evaluating the performance score of each link under the future predicted environment is:

[0028]

[0029] Among them, R represents the reliability level of the link, S represents the signal strength of the link, V represents the average transmission speed of the link, E represents the energy consumption of the link, α, β, and γ are weight coefficients, δ is a stability constant, ∈ is an adjustment coefficient, and P is the performance score.

[0030] As a further solution of the present invention, based on the communication mode selection result and the environment and link data, the communication protocol parameters of the communication device are adjusted, and the power output of the signal is adjusted according to the current environment to obtain the signal compensation adjustment result. Specifically, the steps are:

[0031] S401: Based on the communication mode selection result, configure the protocol parameters of the communication device, including adjusting the size of the data packet, selecting a matching error correction code, adapting to the selected communication mode, and obtaining a protocol parameter setting result;

[0032] S402: Based on the protocol parameter setting result and the environment and link data, adjust the power output of the communication device according to the current environmental conditions to resist interference of the current environment on the communication signal, and generate a power adjustment parameter;

[0033] S403: Based on the power adjustment parameter and by simulating and testing the transmission stability in a differentiated transmission frequency interference environment, the signal transmission frequency of the communication device is adjusted to obtain a signal compensation adjustment result.

[0034] As a further solution of the present invention, based on the signal compensation adjustment result, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time to evaluate whether the current communication link has achieved the expected goal and determine whether the communication link needs to be adjusted. The steps of obtaining the communication link performance evaluation information are specifically as follows:

[0035] S501: Based on the signal compensation adjustment result, real-time data monitoring is performed on the selected communication link through a network monitoring device to monitor the signal strength and data transmission rate per second of the target link, and obtain real-time signal and rate records;

[0036] S502: Based on the real-time signal and rate records, the communication delay and packet loss rate of the current communication link are evaluated by comparing timestamps and checking data integrity to obtain a communication delay and packet loss analysis result;

[0037] S503: Based on the communication delay and packet loss analysis results, and in comparison with preset performance target parameters, analyze the performance of the current communication link, evaluate whether the current communication link has achieved the expected target, determine whether the communication link needs to be adjusted, and obtain communication link performance evaluation information.

[0038] A communication management system, configured to execute the above communication management method, comprising:

[0039] The weather extraction module collects water environment data in real time based on the water communication environment, and obtains weather forecast data for future periods through weather forecasts to obtain weather-related data;

[0040] The link node information acquisition module extracts communication link node status data based on the weather-related data, performs data integration, and obtains environment and link data;

[0041] The link reliability assessment module analyzes the reliability of the differentiated sky-sea communication link in the future period based on the environment and link data and the predicted weather conditions and communication link node status, and obtains a link reliability analysis result;

[0042] The communication mode selection module evaluates the overall effect of the differentiated communication links based on the link reliability analysis result, selects a target communication link, performs ground-to-sea communication, and obtains a communication mode selection result;

[0043] The signal adjustment and compensation module adjusts the communication protocol parameters of the communication device based on the communication mode selection result and the environment and link data to match the selected communication mode, and adjusts the power output of the signal according to the current environment to optimize the stability of the communication link and obtain a signal compensation adjustment result;

[0044] The communication effect analysis module monitors the signal strength, data transmission rate, communication delay and packet loss of the current communication link in real time based on the signal compensation adjustment result, evaluates whether the current communication link has achieved the expected goal, determines whether the communication link needs to be adjusted, and obtains communication link performance evaluation information.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are:

[0046] In the present invention, by predicting the weather and the status of communication link nodes, communication failures can be identified and prevented in a timely manner, ensuring the continued stability of the communication link. The collected data can be used to evaluate the reliability of the link, and the communication mode can be optimized based on the evaluation results, so that the entire communication system can automatically adjust and optimize the communication strategy when facing a complex and changing environment. By adjusting the signal power output and transmission frequency, environmental interference can be effectively resisted, the stability of the communication link is optimized, and the real-time monitoring function strengthens the system's control over the communication status, ensuring rapid response and adjustment when potential problems arise, thereby maintaining communication quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0048] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0049] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0050] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0051] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0052] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0053] Figure 7 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0056] See also Figure 1 The present invention provides a technical solution: a communication management method, comprising the following steps:

[0057] S1: Based on the maritime communication environment, it collects real-time maritime environmental data, including temperature, humidity, and wave height. It also obtains weather forecast data for future periods through weather forecasts. It also extracts communication link node status data, including node failure status and failure duration. This data is then integrated to obtain environmental and link data.

[0058] S2: Based on environmental and link data, according to the predicted weather conditions and communication link node status, analyze the reliability of differentiated ground-sea communication links in the future period, identify communication links with reliability below a preset threshold, and obtain link reliability analysis results;

[0059] S3: Based on the link reliability analysis results, the overall effectiveness of the differentiated communication links is evaluated based on their reliability, combined with their signal strength, transmission speed, and energy consumption indicators. The target communication link is selected for ground-sea communication, matching the future environment to determine the communication mode selection result.

[0060] S4: Based on the communication mode selection result and the environment and link data, the communication protocol parameters of the communication device are adjusted to match the selected communication mode. According to the current environment, the signal power output is adjusted, and the signal transmission frequency is changed to resist environmental interference, optimize the stability of the communication link, and obtain the signal compensation adjustment result.

[0061] S5: Based on the signal compensation adjustment results, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time to evaluate whether the current communication link has achieved the expected goal, determine whether the communication link needs to be adjusted, and obtain communication link performance evaluation information.

[0062] Environmental and link data include temperature values, humidity percentages, wave height measurements, signal strength indexes, and transmission speed information. Link reliability analysis results include link reliability scores, probability of failure points, and expected link interruption time points. Communication mode selection results include the selected communication mode type, the maximum transmission speed supported by the mode, and the energy consumption level corresponding to the mode. Signal compensation adjustment results include adjusted signal power and frequency adjustment values. Communication link performance evaluation information includes signal quality, data transmission rate, communication delay, and performance improvement information.

[0063] See also Figure 2 Based on the water communication environment, we collect water environment data in real time, including temperature, humidity, and wave height. We also obtain weather forecast data for future periods through weather forecasts and extract communication link node status data, including whether the node is faulty and the duration of the fault. We then integrate the data to obtain the environment and link data. The specific steps are as follows:

[0064] S101: Based on the water communication environment, temperature and humidity sensors and wave height measurement equipment are deployed at the target location to monitor the current water environment data in real time and obtain a real-time environmental monitoring dataset;

[0065] Based on the maritime communication environment, temperature and humidity sensors and wave height measurement equipment are deployed at target locations. The temperature sensor regularly collects current temperature data once per second, records and stores it in a local storage device, and averages the data once a minute to ensure smooth sensor readings and avoid the impact of instantaneous fluctuations on data accuracy. Humidity sensors, like temperature sensors, require data collection and averaging within the same time interval. Wave height measurement equipment regularly measures the water surface height using sound waves or laser ranging, and calculates the current average wave height based on the fluctuations in wave crests and troughs to obtain a real-time environmental monitoring data set.

[0066] S102: Based on the real-time environmental monitoring data set, obtain the predicted data of wind speed, air pressure, temperature and wave height in the future target period through the weather forecast API interface to obtain the predicted environmental data set;

[0067] Based on the real-time environmental monitoring dataset, a request is sent to a third-party meteorological service provider through the integrated weather forecast API interface. The request contains the geographic coordinates of the current monitoring point and the time range required for the forecast. Based on this information, the service provider uses its weather forecast model to calculate the future wind speed, air pressure, temperature and wave height. The forecast results will be returned in the form of an API response. Among them, the prediction of each meteorological parameter involves complex meteorological dynamic models and historical data comparative analysis. After the forecast is completed, the predicted environmental dataset is obtained, which contains the forecast information of future meteorological conditions starting from the current time point.

[0068] S103: Based on the real-time environmental monitoring data set and the predicted environmental data set, the current online status of the communication link nodes and the fault history records in the past 24 hours are extracted from the communication database, and the data are integrated to obtain environmental and link data;

[0069] Based on the real-time environmental monitoring dataset and the predicted environmental dataset, the communication database is queried. The current online status of the communication link node is retrieved through the query statement. The query includes the node's IP address, connection status, and signal quality. The node's fault history within the past 24 hours is also queried. This record is extracted from the database log file and includes the time, duration, and type of fault. By summarizing and analyzing these online status and historical fault data, the environmental and link data are obtained.

[0070] See also Figure 3 Based on environmental and link data, according to the predicted weather conditions and communication link node status, the reliability of differentiated ground-sea communication links in the future period is analyzed, and communication links with reliability below the preset threshold are identified. The specific steps for obtaining link reliability analysis results are as follows:

[0071] S201: Based on the environment and link data and the predicted weather conditions, analyze the impact of future weather conditions on differentiated communication nodes, predict the fault type and risk level encountered by the nodes, and obtain node impact prediction results;

[0072] Based on environmental and link data and predicted weather conditions, we simulate possible future environmental impacts. We analyze the types of failures that each node may encounter based on the node's location, historical failure data, and predicted environmental factors. We use probabilistic statistical methods to assess the likelihood of failures. We also classify possible failure types based on historical failure data. We assess the risk level of each communication node based on the severity and probability of the failure, and obtain node impact prediction results.

[0073] S202: Analyze the reliability of the differentiated sky-sea communication link in the future period based on the node impact prediction result, evaluate the reliability level of the differentiated communication link, and obtain link reliability evaluation information;

[0074] The formula for evaluating the reliability level of differentiated communication links is:

[0075]

[0076] Where R represents the reliability level of the link, f represents the number of failures under similar historical conditions, s represents the signal stability index, d represents the mean repair time, and w1, w2, and w3 are weight coefficients.

[0077] formula:

[0078]

[0079] Parameter details and how to obtain them:

[0080] Failure count under similar historical conditions (f): This represents the number of failures that occurred on a link node within a certain period of time under the same environmental conditions as the current one. This data is typically obtained through monitoring system records and database queries.

[0081] Signal Stability Index (S): This is a measure of signal fluctuation over time, derived from the variance of historical signal strength data. In practice, stability can be assessed by collecting signal strength readings over time and calculating their variance.

[0082] Mean time to repair (MTRT): This refers to the average time, measured in hours, required for a link node to be repaired after a failure occurs. This parameter is obtained by analyzing historical maintenance records and is typically calculated as the average repair time for all failures in the recent period.

[0083] Weight coefficients w1, w2, and w3: w1 adjusts the impact of the number of faults, w2 adjusts the impact of signal stability, and w3 adjusts the impact of repair speed. They are set according to needs.

[0084] Calculation example:

[0085] Set the following parameter values:

[0086] The number of failures is f = 3, the signal stability variance is s = 4.0 (unit: dB^2), and the average repair time is d = 2 hours. The weight coefficients are w1 = 0.5, w2 = 0.3, and w3 = 0.2.

[0087] Calculation process:

[0088]

[0089] R=2.2

[0090] The calculated result, R = 2.2, indicates that under the given weights and parameters, the overall reliability score of this communication link is 2.2. This score can be used to compare with other links to determine which links are more reliable, and then used for network optimization and resource allocation decisions.

[0091] S203: Based on the link reliability evaluation information, the link reliability is compared with a preset communication reliability threshold, and communication links with reliability lower than the preset threshold are identified and marked to obtain a link reliability analysis result;

[0092] Based on the link reliability assessment information, the reliability assessment results of each link are sorted and compared, and compared with the preset communication reliability threshold. The reliability of the links below the preset threshold is identified, and the links that do not meet the threshold requirements are marked. The links that will perform poorly in the future are identified to obtain the link reliability analysis results.

[0093] See also Figure 4 Based on the link reliability analysis results, according to the reliability of the differentiated communication link, combined with the signal strength, transmission speed and energy consumption indicators of the differentiated communication link, the overall effect of the differentiated communication link is evaluated, and the target communication link is selected for sky-sea communication to match the environment in the future period. The specific steps to obtain the communication mode selection result are as follows:

[0094] S301: Based on the link reliability analysis results, collect the signal strength, transmission speed, and energy consumption data of each communication link, perform data standardization, optimize data consistency, and obtain a standardized communication link performance data set;

[0095] Based on the link reliability analysis results, collect data on signal strength, transmission speed, and energy consumption for each link under different environmental conditions. Signal strength and transmission speed data must be collected over specific time periods to ensure data continuity and representativeness. The collected data is normalized using an appropriate normalization method, such as Z-score normalization or Min-Max normalization, to convert data of varying dimensions into a consistent range for comparison. After normalization, perform a consistency check on the data to ensure that the performance metrics of each link can be directly compared and analyzed, resulting in a standardized communication link performance dataset.

[0096] S302: Based on the standardized communication link performance dataset and in combination with link reliability, the performance score of each link in the predicted future environment is evaluated to obtain a link scoring result;

[0097] The formula for evaluating the performance score of each link in the future predicted environment is:

[0098]

[0099] Among them, R represents the reliability level of the link, S represents the signal strength of the link, V represents the average transmission speed of the link, E represents the energy consumption of the link, α, β, and γ are weight coefficients, δ is a stability constant, ∈ is an adjustment coefficient, and P is the performance score.

[0100] The formula is:

[0101]

[0102] The meaning and acquisition method of the parameters:

[0103] R: The reliability level of the link, calculated in the previous step.

[0104] S: Signal strength, which indicates the link signal's transmission capability under the most unfavorable conditions. This data can be directly read from the real-time monitoring system of the communication equipment.

[0105] V: The average transmission speed of the communication link, in Mbps, obtained from the network management system. This parameter indicates the data transmission efficiency of the link under high load.

[0106] E: The energy consumption of the link, measured in watts per kilobit (W / kb), as measured by the energy management system. Lower energy consumption values ​​indicate a more energy-efficient link.

[0107] α, β, γ, δ, ∈: weight coefficients and adjustment coefficients. The weight coefficients α, β, and γ respectively enhance the impact of reliability, signal strength, and transmission speed, while δ is the basic energy consumption impact value, and ∈ is used to scale the impact of energy consumption on the performance score. They are set based on computing requirements.

[0108] Calculation example:

[0109] Set the following parameter values:

[0110] R = 8 (very high reliability), S = 50dB (good signal strength), V = 100Mbps (excellent transmission speed), E = 0.1W / kb (very low energy consumption). The weights and adjustment coefficients are set to: α = 1.0, β = 0.8, γ = 0.5, δ = 1.0, ∈ = 10.

[0111] Calculation process:

[0112]

[0113] The calculated performance score, P≈9.8, indicates that the communication link performs very well overall, taking into account reliability, signal strength, transmission speed, and energy consumption. This high score demonstrates excellent performance across all aspects of the link, particularly maintaining high transmission efficiency while maintaining low energy consumption, meeting target communication requirements.

[0114] S303: Based on the link scoring results, select the communication link with the highest score, configure the communication link as the target communication path, perform ground-to-sea communication, and obtain a communication mode selection result;

[0115] Based on the link scoring results, the performance scores of all communication links are sorted, and the link with the highest score is selected as the preferred path for future communications to ensure that the selected communication path can provide the best performance under various weather and environmental conditions. Once the selection is completed, the link is configured and its parameters are adjusted to adapt to the predetermined communication requirements to obtain the communication mode selection result.

[0116] See also Figure 5 Based on the communication mode selection result and the environment and link data, the communication protocol parameters of the communication device are adjusted to match the selected communication mode. According to the current environment, the signal power output is adjusted and the signal transmission frequency is changed to resist environmental interference and optimize the stability of the communication link. The specific steps for obtaining the signal compensation adjustment result are as follows:

[0117] S401: Based on the communication mode selection result, configure the protocol parameters of the communication device, including adjusting the size of the data packet, selecting a matching error correction code, adapting to the selected communication mode, and obtaining the protocol parameter setting result;

[0118] Based on the communication mode selection results, the appropriate packet size for the selected communication mode is evaluated. By analyzing historical transmission data, the optimal packet size is determined to improve transmission efficiency and reduce latency. For example, for real-time transmission applications, the packet size can be set to 512 bytes to ensure smooth information transmission. Next, an appropriate error correction code is selected based on the type of noise in the environment and its interference intensity to ensure effective error correction during data transmission. Setting protocol parameters requires actual operation on the device, including entering the packet size and error correction code parameters. The device must complete a complete restart to apply the new configuration and obtain the protocol parameter settings.

[0119] S402: Based on the protocol parameter setting result and the environment and link data, adjust the power output of the communication device according to the current environmental conditions to resist the interference of the current environment on the communication signal, and generate a power adjustment parameter;

[0120] Based on the protocol parameter setting results and environmental and link data, real-time environmental data is analyzed to determine the impact of factors such as temperature, humidity, and wave height on communication signals. By calculating the degree of signal attenuation under different environmental conditions, for example, the signal attenuation rate under high humidity conditions can be set to 0.8dB / 10m, the current required power output level is determined. Based on the analysis results, the communication equipment needs to adjust the power, possibly by increasing the output power (such as adjusting the power from 10W to 15W) to compensate for the signal attenuation. During the adjustment process, the output status of the equipment must also be monitored to ensure that the equipment operates within a safe range and prevent overload. At the same time, the specific parameters and process of the power adjustment need to be recorded for subsequent inspection and optimization to generate power adjustment parameters.

[0121] S403: Based on the power adjustment parameter and by simulating and testing the transmission stability in a differentiated transmission frequency interference environment, the signal transmission frequency of the communication device is adjusted to obtain a signal compensation adjustment result.

[0122] Based on power adjustment parameters, transmission stability in environments with differentiated transmission frequency interference is simulated and tested. Simulating communications equipment creates transmission scenarios with different transmission frequencies to evaluate signal stability and anti-interference capabilities at these frequencies. During the test, the device's transmission frequency is gradually adjusted, and the transmission performance of each frequency is evaluated by monitoring signal reception quality. For example, in a high-interference environment, it was found that the 2.4GHz frequency experienced significant signal attenuation, while the 900MHz frequency exhibited better anti-interference performance. Based on the test results, the optimal transmission frequency is selected for adjustment to ensure the signal achieves the best performance under the current environmental conditions, resulting in signal compensation adjustment results.

[0123] See also Figure 6Based on the signal compensation adjustment results, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time to evaluate whether the current communication link has achieved the expected goal and determine whether the communication link needs to be adjusted. The specific steps for obtaining the communication link performance evaluation information are as follows:

[0124] S501: Based on the signal compensation adjustment result, the network monitoring device performs real-time data monitoring on the selected communication link, monitors the signal strength and data transmission rate per second of the target link, and obtains real-time signal and rate records;

[0125] Based on the signal compensation adjustment results, network monitoring equipment should be configured to ensure real-time capture of the target link's signal strength and data transmission rate. These two parameters should be recorded every second to ensure data timeliness and continuity. A reasonable sampling frequency should be set for signal strength, and during data collection, the recorded data should be saved in a dedicated database to provide real-time signal and data rate records.

[0126] S502: Based on the real-time signal and rate records, the communication delay and packet loss rate of the current communication link are evaluated by comparing timestamps and checking data integrity, and a communication delay and packet loss analysis result is obtained;

[0127] Based on real-time signal and rate records, the timestamp of each record is extracted to determine the send and receive time of each data packet. Communication delay is calculated by comparing the send and receive times. The integrity of transmitted data packets is checked. The packet loss rate is calculated by counting the difference between the total number of packets sent and the total number of packets successfully received within a specific time window, resulting in communication delay and packet loss analysis results.

[0128] S503: Based on the communication delay and packet loss analysis results, the performance of the current communication link is analyzed against preset performance target parameters to evaluate whether the current communication link meets the expected target and determine whether the communication link needs to be adjusted, thereby obtaining communication link performance evaluation information;

[0129] Based on the communication delay and packet loss analysis results, preset performance target parameters are used, such as the upper limit for communication delay and the permissible range for packet loss. The currently analyzed communication delay and packet loss rate are compared against these target parameters to determine whether they meet expectations. If the communication delay exceeds the set upper limit or the packet loss rate is higher than the permissible range, the link is marked as unqualified and corresponding adjustment recommendations are generated, resulting in communication link performance evaluation information.

[0130] See also Figure 7 A communication management system is provided, wherein the communication management system is configured to execute the above communication management method, and the system comprises:

[0131] The weather extraction module collects water environment data in real time based on the water communication environment, and obtains weather forecast data for future periods through weather forecasts to obtain weather-related data;

[0132] The link node information acquisition module extracts communication link node status data based on weather-related data, integrates the data, and obtains environmental and link data;

[0133] The link reliability assessment module analyzes the reliability of differentiated ground-sea communication links in the future period based on environmental and link data, predicted weather conditions, and communication link node status, and obtains link reliability analysis results.

[0134] The communication mode selection module evaluates the overall effectiveness of differentiated communication links based on the link reliability analysis results, selects the target communication link, performs ground-to-sea communication, and obtains the communication mode selection result;

[0135] The signal adjustment and compensation module adjusts the communication protocol parameters of the communication device based on the communication mode selection result and the environment and link data to match the selected communication mode, and adjusts the signal power output according to the current environment to optimize the stability of the communication link and obtain the signal compensation adjustment result;

[0136] The communication effect analysis module monitors the signal strength, data transmission rate, communication delay and packet loss of the current communication link in real time based on the signal compensation adjustment results, evaluates whether the current communication link has achieved the expected goal, determines whether the communication link needs to be adjusted, and obtains communication link performance evaluation information.

[0137] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A communication management method, characterized in that: The following steps are involved: Based on the water communication environment, it collects water environment data in real time, obtains weather forecast data for future periods through weather forecasts, extracts communication link node status data, and integrates the data to obtain environment and link data; Based on the environment and link data, analyze the reliability of differentiated ground-sea communication links in a future period, identify communication links whose reliability is lower than a preset threshold, and obtain link reliability analysis results; Based on the link reliability analysis results, combined with the signal strength, transmission speed and energy consumption indicators of the differentiated communication links, the overall effect of the differentiated communication links is evaluated, and the target communication link is selected to perform ground-sea communication and obtain a communication mode selection result; Adjusting the communication protocol parameters of the communication device based on the communication mode selection result and the environment and link data, and adjusting the power output of the signal according to the current environment to obtain a signal compensation adjustment result; Based on the signal compensation adjustment result, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time to evaluate whether the current communication link has achieved the expected goal, determine whether the communication link needs to be adjusted, and obtain communication link performance evaluation information.

2. The communication management method according to claim 1, wherein: The environmental and link data include temperature values, humidity percentages, wave height measurements, signal strength indexes, and transmission speed information; the link reliability analysis results include link reliability scores, probability of failure points, and expected link interruption time points; the communication mode selection results include the selected communication mode type, the maximum transmission speed supported by the mode, and the energy consumption level corresponding to the mode; the signal compensation adjustment results include the adjusted signal power and frequency adjustment values; and the communication link performance evaluation information includes signal quality, data transmission rate, and communication delay and performance improvement information.

3. The communication management method according to claim 1, wherein: Based on the water communication environment, the water environment data is collected in real time. The weather forecast data for the future period is obtained through the weather forecast. The communication link node status data is extracted and integrated to obtain the environment and link data. The specific steps are as follows: Based on the water communication environment, by deploying temperature, humidity sensors and wave height measurement equipment at the target location, the current water environment data is monitored in real time to obtain a real-time environmental monitoring dataset; Based on the real-time environmental monitoring data set, the predicted data of wind speed, air pressure, temperature and wave height in the future target period are obtained through the weather forecast API interface to obtain a predicted environmental data set; Based on the real-time environmental monitoring data set and the predicted environmental data set, the current online status of the communication link nodes and the fault history records in the past 24 hours are extracted from the communication database, and the data are integrated to obtain environmental and link data.

4. The communication management method according to claim 1, wherein: Based on the environment and link data, the reliability of the differentiated ground-sea communication links in the future period is analyzed, and communication links with reliability below a preset threshold are identified. The steps of obtaining the link reliability analysis results are specifically as follows: Based on the environment and link data, and according to the predicted weather conditions, analyzing the impact of future weather conditions on differentiated communication nodes, predicting the type and risk level of faults encountered by the nodes, and obtaining node impact prediction results; Based on the node impact prediction results, the reliability of the differentiated sky-sea communication link in the future period is analyzed, the reliability level of the differentiated communication link is evaluated, and link reliability evaluation information is obtained; Based on the link reliability evaluation information, the link reliability is compared with a preset communication reliability threshold, and communication links with reliability lower than the preset threshold are identified and marked to obtain a link reliability analysis result.

5. The communication management method according to claim 4, characterized in that: The formula for evaluating the reliability level of the differentiated communication link is: Where R represents the reliability level of the link, f represents the number of failures under similar historical conditions, s represents the signal stability index, d represents the mean repair time, and w1, w2, and w3 are weight coefficients. The communication management method according to claim 1, wherein: Based on the link reliability analysis results, combined with the signal strength, transmission speed, and energy consumption indicators of the differentiated communication links, the overall effect of the differentiated communication links is evaluated, and the target communication link is selected to perform ground-to-sea communication. The specific steps for obtaining the communication mode selection result are as follows: Based on the link reliability analysis results, the signal strength, transmission speed and energy consumption data of each communication link are collected, and data standardization is performed to optimize data consistency to obtain a standardized communication link performance data set; Based on the standardized communication link performance data set and in combination with link reliability, the performance score of each link in the future predicted environment is evaluated to obtain a link scoring result; Based on the link scoring results, the communication link with the highest score is selected, and the communication link is configured as the target communication path to perform ground-to-sea communication to obtain a communication mode selection result.

7. The communication management method according to claim 6, characterized in that: The formula for evaluating the performance score of each link under the future predicted environment is: Among them, R represents the reliability level of the link, S represents the signal strength of the link, V represents the average transmission speed of the link, E represents the energy consumption of the link, α, β, and γ are weight coefficients, δ is a stability constant, ∈ is an adjustment coefficient, and P is the performance score.

8. The communication management method according to claim 1, wherein: The steps of adjusting the communication protocol parameters of the communication device based on the communication mode selection result and the environment and link data, and adjusting the power output of the signal according to the current environment to obtain the signal compensation adjustment result are specifically as follows: Based on the communication mode selection result, configuring the protocol parameters of the communication device, including adjusting the size of the data packet, selecting a matching error correction code, and adapting the selected communication mode to obtain a protocol parameter setting result; Based on the protocol parameter setting results and the environment and link data, adjust the power output of the communication device according to the current environmental conditions to resist the interference of the current environment on the communication signal and generate a power adjustment parameter; Based on the power adjustment parameters, and by simulating and testing the transmission stability in a differentiated transmission frequency interference environment, the signal transmission frequency of the communication device is adjusted to obtain a signal compensation adjustment result.

9. The communication management method according to claim 1, wherein: Based on the signal compensation adjustment result, the signal strength, data transmission rate, communication delay and packet loss of the current communication link are monitored in real time to evaluate whether the current communication link meets the expected goal and determine whether the communication link needs to be adjusted. The specific steps of obtaining the communication link performance evaluation information are as follows: Based on the signal compensation adjustment result, real-time data monitoring is performed on the selected communication link through network monitoring equipment to monitor the signal strength and data transmission rate per second of the target link to obtain real-time signal and rate records; Based on the real-time signal and rate records, the communication delay and packet loss rate of the current communication link are evaluated by comparing timestamps and checking data integrity to obtain a communication delay and packet loss analysis result; Based on the communication delay and packet loss analysis results, and compared with the preset performance target parameters, the performance of the current communication link is analyzed, whether the current communication link has achieved the expected goal is evaluated, and whether the communication link needs to be adjusted is determined to obtain communication link performance evaluation information.

10. A communication management system, characterized in that: The communication management method according to any one of claims 1 to 9, wherein the system comprises: The weather extraction module collects water environment data in real time based on the water communication environment, and obtains weather forecast data for future periods through weather forecasts to obtain weather-related data; The link node information acquisition module extracts communication link node status data based on the weather-related data, performs data integration, and obtains environment and link data; The link reliability assessment module analyzes the reliability of the differentiated sky-sea communication link in the future period based on the environment and link data and the predicted weather conditions and communication link node status, and obtains a link reliability analysis result; The communication mode selection module evaluates the overall effect of the differentiated communication links based on the link reliability analysis result, selects a target communication link, performs ground-to-sea communication, and obtains a communication mode selection result; The signal adjustment and compensation module adjusts the communication protocol parameters of the communication device based on the communication mode selection result and the environment and link data to match the selected communication mode, and adjusts the power output of the signal according to the current environment to optimize the stability of the communication link and obtain a signal compensation adjustment result; The communication effect analysis module monitors the signal strength, data transmission rate, communication delay and packet loss of the current communication link in real time based on the signal compensation adjustment result, evaluates whether the current communication link has achieved the expected goal, determines whether the communication link needs to be adjusted, and obtains communication link performance evaluation information.

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