Intelligent digital encryption radio station encryption method and system

Abstract

The invention relates to the technical field of encryption communication, in particular to an encryption method and system for an intelligent digital encryption radio station, and the method comprises the following steps: storing communication node information to an encryption database based on maritime communication environment signal characteristic parameters, extracting communication link quality indexes, recording multi-path interference, and screening a high-frequency band; and detecting the identity and authority change of a communication operator, and analyzing the communication use trend and frequency change to obtain a communication use trend analysis conclusion. Through dynamic monitoring of signal characteristics and self-adaptive optimization of a network structure, real-time reconstruction of a communication path and interference area avoidance are realized, stable transmission in a marine environment is guaranteed, frequency and power are dynamically adjusted in combination with link quality and interference analysis, the coverage rate and reliability are improved, and the method is suitable for large-scale popularization and application. Abnormal identification and risk early warning are realized through comprehensive judgment of communication behaviors and authority changes, the adaptability and protection capability of the system are enhanced, and the stability, security and resource utilization efficiency of a communication network are improved.

Description

Technical Field

[0001] This invention relates to the field of encrypted communication technology, and in particular to an intelligent digital encrypted radio encryption method and system. Background Technology

[0002] The field of encrypted communication technology primarily involves encrypting and decrypting information to ensure that data is not accessed or tampered with by unauthorized third parties during transmission. This field is widely used in various industries such as military, finance, aerospace, transportation, and communications. Its core aspects include encryption algorithms, encryption key management, data security protocols, and information protection. Encrypted communication technology encompasses various encryption methods, such as symmetric encryption, asymmetric encryption, and hash algorithms, aiming to protect data privacy and security during communication. In this field, digital encrypted radios are widely used as an important communication tool in ships, aircraft, and other transportation vehicles to ensure secure communication in complex environments. Traditional intelligent digital encrypted radio encryption methods involve encrypting the communication signals of shipborne radios using preset encryption algorithms to prevent information leakage and unauthorized access. Traditional encryption methods employ symmetric encryption algorithms, relying on the consistency of encryption and decryption keys to ensure the security of communication content. Currently, most encrypted radios are provided by foreign manufacturers, and their technology is subject to foreign control, leading to certain risks in terms of security and autonomy for ship communications.

[0003] Traditional intelligent digital encrypted radios lack dynamic identification and real-time adjustment mechanisms for signal characteristics during communication encryption. Communication paths and frequency resources are fixed configurations, making it difficult to cope with signal attenuation and multipath interference in complex maritime environments. This leads to instability in data transmission. Furthermore, access control relies mainly on manual review and static rules, which cannot make real-time judgments on changes in operator behavior, resulting in potential security risks. When the number of communication nodes increases or channel interference intensifies, the system is prone to delays and errors in data synchronization and transmission response, affecting communication security and continuity. This limits the application effectiveness of the communication system in scenarios with multi-node collaboration and high security requirements. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides an intelligent digital encrypted radio encryption method that can dynamically adjust frequency and power allocation, reduce signal attenuation and multipath interference, improve communication coverage and transmission reliability, and enable real-time identification of abnormal operator behavior and early warning of security risks.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent digital encrypted radio encryption method, comprising the following steps: S1: Based on the signal characteristic parameters of the maritime communication environment, establish a dynamic routing table for the wireless ad hoc network, store the communication node information in the encrypted information database, and synchronously update it in the global network configuration. Detect the synchronization status and obtain the basic data for encrypted communication. S2: Based on the encrypted communication basic data, extract communication link quality indicators, filter interference channel areas, generate frequency modulation commands for frequency offset, generate power compensation commands for power fluctuation, and record and notify associated nodes if there is multiple path interference to obtain communication anomaly record data. S3: Based on the communication anomaly record data, extract the communication optimization path, analyze the signal transmission stability, screen the interference area, adjust the frequency of the regional signal, analyze the signal coverage, screen the high-frequency bands, and obtain the optimized communication index path. S4: Based on the optimized communication index path, according to the communication permission management database, detect the identity information of the communication operator, extract permission change records, detect the operator permission adjustment log, filter the number of permission changes in a short period of time, and obtain the intelligent encrypted communication security judgment dataset.

[0006] As a further aspect of the present invention, the encrypted communication basic data includes signal frequency information, power strength information, channel allocation information, interference risk information, and synchronization status information; the communication anomaly record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme status, and risk notification information; the optimized communication index path includes high-frequency band index, optimized path scheme, and frequency adjustment index; and the intelligent encrypted communication security decision dataset includes operator identity record, permission matching record, communication behavior record, and permission change count record.

[0007] As a further aspect of the present invention, the specific steps of S1 are as follows: S101: Based on the signal characteristic parameters of the maritime communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, stored in an encrypted information database, and a communication data sequence is generated. S102: Based on the communication data sequence, extract the current synchronization status parameters, detect the data transmission integrity, determine whether the synchronization is normal, if abnormal, store the communication data locally and mark the storage tag, if normal, upload to the global network configuration, update the upload record after the data upload is successful, and obtain the synchronization status; S103: Based on the synchronization status, detect whether there is a difference between the local cached data tag and the global network configuration data. If there is, retransmit and update the storage identifier; otherwise, clean up the expired data to obtain the basic data for encrypted communication.

[0008] As a further aspect of the present invention, the specific steps of S2 are as follows: S201: Based on the encrypted communication basic data, extract the standard quality range of the communication link, identify the standard intervals of signal frequency, power intensity, channel allocation and interference risk, filter out the parameters exceeding the limit, and obtain the communication parameters exceeding the limit. S202: Based on the over-limit communication parameters, detect the over-limit category. If there is a frequency offset, generate a frequency modulation command and mark the adjustment priority. If there is a power fluctuation, generate a power compensation command and mark the compensation level. If there is a channel conflict, generate a channel switching command and mark the switching order. Record the execution status to obtain the communication adjustment execution status. S203: Adjust the execution state according to the communication, detect whether there is interference risk, if there is, record the risk data and push the risk notification to the associated node to obtain communication anomaly record data.

[0009] As a further aspect of the present invention, the specific steps of S3 are as follows: S301: Based on the communication anomaly record data, extract the communication optimization path, statistically analyze the parameter changes in the signal transmission area, identify the parameter time change range, compare the interference threshold and filter the interference area to obtain the interference area parameter set; S302: Based on the interference area parameter set, extract the communication index path of the corresponding area, analyze the signal status, identify the signal strength and coverage, count the signal distribution frequency, adjust the communication index order, optimize the channel structure, and obtain the high-frequency band index adjustment result; S303: Based on the high-frequency band index adjustment results, analyze the optimized communication path, identify the signal coverage distribution, compare the change in coverage before and after optimization, calculate the optimization ratio, and obtain the optimized communication index path.

[0010] As a further aspect of the present invention, the specific steps of S4 are as follows: S401: Based on the optimized communication index path, extract the identity information of the communication request operator, detect the operator's permission level, compare with the communication permission baseline value, filter operators that meet the permission level, and obtain a list of operators that meet the permissions. S402: Based on the list of qualified operators, record communication logs, count communication time, channel type and operator identifier, associate communication paths, analyze the communication behavior of the same operator at different time points, extract communication frequency and change trend, identify short-term high-frequency operations and extract abnormal behavior features, and obtain communication log behavior sequence. S403: Based on the communication log behavior sequence, extract permission change records, detect operator permission adjustment logs, count the number of permission changes in a short period of time, filter the identity information of operators who continuously change permissions, and obtain an intelligent encrypted communication security judgment dataset.

[0011] As a further aspect of the present invention, the operator who meets the permission level refers to the operator whose corresponding security permission level is determined by extracting the operator's identity information and comparing it with the permission benchmark value; The abnormal behavior characteristics refer to the identification of short-term high-frequency or abnormal operation patterns and the extraction of features by analyzing the frequency and trend of operator communication at different time points. The communication log behavior sequence refers to the analyzable behavior sequence formed by recording communication time, channel type, operator identification log information, and processing it according to time sequence.

[0012] As a further aspect of the present invention, the intelligent digital encrypted radio encryption method further includes the following steps: S5: Based on the intelligent encrypted communication security decision dataset, extract communication usage records, analyze communication usage trends, filter channels with changing usage frequencies, analyze communication usage stability, filter communication parameter fluctuation areas, and obtain communication usage trend analysis conclusions; The conclusions of the communication usage trend analysis include communication usage trends, usage frequency change data, communication parameter fluctuation ranges, and communication usage stability analysis.

[0013] As a further aspect of the present invention, the specific steps of S5 are as follows: S501: Based on the intelligent encrypted communication security decision dataset, extract the communication operation records between nodes, count the operation frequency and time interval between the two ends of the communication, identify the frequency ratio and interval offset, filter the channels whose frequency difference exceeds the offset threshold, and obtain the communication usage frequency offset item. S502: Based on the communication usage frequency offset, extract the corresponding channel operation parameters between nodes, calculate the parameter difference value and compare it with the communication operation difference benchmark value, filter out the node regions with parameter fluctuations within a continuous period, and obtain the communication usage trend analysis conclusion.

[0014] The present invention also provides an intelligent digital encrypted radio encryption system, comprising: The communication integration module is used to collect signal frequency, power intensity, channel allocation, and interference risk based on signal characteristic parameters of the maritime communication environment, and store them in an encrypted information database. If data synchronization is interrupted, it is cached to local storage to obtain encrypted communication basic data. The communication adjustment module is used to filter parameters that exceed the standard range based on the encrypted communication basic data, generate frequency modulation commands, compensate for power fluctuations, switch channel conflicts, record risk data and notify associated nodes, and obtain communication anomaly record data. The communication optimization module is used to call the communication optimization path based on the communication anomaly record data, analyze signal transmission stability, filter interference areas, adjust the signal coverage strategy of interference areas, compare high-frequency used channels with interference areas, filter the anomaly index in the communication optimization path, adjust the communication index structure, and obtain the optimized communication index path. The permission management module is used to filter the identity information of the communication request operator, match the permission level, record the communication log, analyze the permission change record, filter the number of permission changes in a short period of time, and obtain the intelligent encrypted communication security judgment dataset based on the optimized communication index path. The communication analysis module is used to filter channels with varying usage frequencies based on the intelligent encrypted communication security decision dataset, and, in conjunction with communication security management requirements, filter high-frequency usage channels within the communication parameter fluctuation range, adjust the communication optimization path planning, and obtain communication usage trend analysis conclusions.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are as follows: This invention achieves real-time reconstruction of communication paths and proactive avoidance of interference areas through dynamic monitoring of communication signal characteristics and adaptive optimization of network structure, enabling stable data transmission in complex maritime environments. Combined with dual analysis of link quality and channel interference, it can dynamically adjust frequency and power allocation, reducing signal attenuation and multipath interference, and improving communication coverage and transmission reliability. Through comprehensive judgment of communication behavior and permission changes, it enables immediate identification of abnormal operator behavior and early warning of security risks. Simultaneously, a self-learning mechanism for communication parameters is formed during system operation, continuously optimizing transmission strategies based on historical records, enhancing the system's adaptability and protection capabilities against environmental changes. This significantly improves the overall communication network's stability, security, intelligence, and resource utilization efficiency. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the steps of the present invention.

[0018] Figure 2 This is a detailed schematic diagram of S1 of the present invention.

[0019] Figure 3 This is a detailed schematic diagram of S2 in this invention.

[0020] Figure 4This is a detailed schematic diagram of S3 of the present invention.

[0021] Figure 5 This is a detailed schematic diagram of S4 of the present invention.

[0022] Figure 6 This is a detailed schematic diagram of S5 of the present invention.

[0023] Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0024] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0025] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0026] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0027] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0028] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0029] Please see Figure 1 This invention provides an intelligent digital encrypted radio encryption method, comprising the following steps: S1: Based on the signal characteristic parameters of the maritime communication environment, establish a dynamic routing table for the wireless ad hoc network, store the communication node information in the encrypted information database, and synchronously update it in the global network configuration. Detect the synchronization status and obtain the basic data for encrypted communication. S2: Based on encrypted communication data, extract communication link quality indicators, filter interference channel areas, generate frequency modulation commands for frequency offset, generate power compensation commands for power fluctuation, record and notify associated nodes if there is multi-path interference, and obtain communication anomaly record data. S3: Based on communication anomaly record data, extract the communication optimization path, analyze signal transmission stability, screen interference areas, adjust the frequency of regional signals, analyze signal coverage, screen high-frequency bands, and obtain the optimized communication index path; S4: Based on the optimized communication index path, according to the communication permission management database, detect the identity information of the communication operator, extract permission change records, detect the operator permission adjustment log, filter the number of permission changes in a short period of time, and obtain the intelligent encrypted communication security judgment dataset; S5: Based on the intelligent encrypted communication security decision dataset, extract communication usage records, analyze communication usage trends, filter channels with changing usage frequencies, analyze communication usage stability, filter communication parameter fluctuation areas, and obtain communication usage trend analysis conclusions.

[0030] The basic data for encrypted communication includes signal frequency information, power strength information, channel allocation information, interference risk information, and synchronization status information. The communication anomaly record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme status, and risk notification information. The optimized communication index path includes high-frequency band index, optimized path scheme, and frequency adjustment index. The intelligent encrypted communication security decision dataset includes operator identity records, permission matching records, communication behavior records, and permission change count records. The communication usage trend analysis conclusions include communication usage trends, usage frequency change data, communication parameter fluctuation areas, and communication usage stability analysis.

[0031] Please see Figure 2 The specific steps of S1 are as follows: S101: Based on the signal characteristic parameters of the maritime communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, stored in an encrypted information database, and a communication data sequence is generated. Based on signal characteristic parameters of the maritime communication environment, the signal characteristic parameters of ship communication equipment are collected in real time in the communication scenario. For example, in VHF communication, the center frequency is 156.800MHz, the received power intensity is -75dBm, the channel is allocated as dedicated channel 16 for maritime mobile services, environmental noise and spectrum usage are continuously monitored, and the channel interference risk is assessed as 0.25. The interference risk score ranges from 0.0 to 1.0, where 0.0 represents no risk and 1.0 represents high risk. The collected signal characteristic parameters are used as raw data. Each piece of raw data is tagged with a data type identifier, collection timestamp, source node identity, and encryption status. For example, the data is tagged as type VHF_DATA, timestamp 10-13T10:00:05Z, source node ship_id_ABC, encryption status true, frequency 156.800, power intensity -75dBm, and channel 16. The collected signal characteristic parameters are used as raw data. Each piece of raw data is tagged with a label containing a data type identifier, collection timestamp, source node identity, and encryption status. For example, the data is tagged as type VHF_DATA, timestamp 10-13T10:00:05Z, source node ship_id_ABC, encryption status true, frequency 156.800, power intensity -75dBm, and channel 16. The collected signal characteristic parameters are used as raw data. The collected signal characteristic parameters are collected ... With a rate of -75, channel 16, and interference risk of 0.25, a preset redundancy judgment rule is used to filter labeled data. The redundancy judgment rule is set as follows: if two data packets sent by the same source node are completely identical in channel, frequency, power intensity, and payload content within 50 consecutive milliseconds, the subsequent arriving data is judged as redundant data and deleted. For example, if a signal data packet that is exactly the same as the one received at 10:00:05.050 seconds is received at 10:00:05.100 seconds, the data packet at 10:00:05.100 seconds is judged as redundant and removed. After the data is deredundant, the non-redundant labeled data is transmitted to the encrypted information database for storage. The database uses the AES-256 algorithm to encrypt the data end-to-end, ensuring confidentiality during data storage and transmission. Finally, the encrypted data in the database is logically sorted and numbered according to the timestamp order, and each data is assigned a sequence number to form a communication data sequence.

[0032] S102: Based on the communication data sequence, extract the current synchronization status parameters, detect the data transmission integrity, determine whether the synchronization is normal, if abnormal, store the communication data locally and mark the storage tag, if normal, upload to the global network configuration, update the upload record after the data upload is successful, and obtain the synchronization status; In the communication data sequence, data packets are read one by one. Each data packet carries synchronization status parameters such as a timestamp, sequence number, and cyclic redundancy check (CRC) code. The current data packet sequence number S_current is compared with the expected sequence number S_expected. The CRC check value CRC_received of the data packet is extracted, and the CRC check value CRC_calculated of the data packet content is recalculated. The data transmission integrity detection standard is: when CRC_received and CRC_calculated match completely, the data transmission integrity is qualified; otherwise, it is unqualified. The normal synchronization status is judged as follows: if S_current equals S_expected and the data transmission integrity is qualified, the synchronization status is judged as normal. If S_current is less than S_expected, for example, S_expected is 105 and S_current is 103, and two data packets with sequence number 104 are missing; or if S_current is greater than S_expected, for example, S_current is 107 and S_expected is greater than S_expected, for example, S_current is 107 and S_expected is greater than S_expected, for example, S_expected is 107 and S_expected is 103, and two data packets with sequence number 104 are missing. If ed is 105, unexpected data is received, or the CRC check fails, the synchronization status is determined to be abnormal. For example, if a data packet with sequence number 103 is received, its CRC_received and CRC_calculated do not match, and the synchronization is determined to be abnormal. At this time, the abnormal data packet, along with relevant metadata (e.g., sequence number 103, error type CRC check failure), is stored in the local cache area with an attached storage tag "synchronization abnormal_to be retransmitted". If the synchronization is determined to be normal, that is, S_current is 104 and the CRC check passes, the data packet is uploaded to the global network configuration center. The global network configuration center is a distributed data storage and management platform, responsible for maintaining the communication configuration and status information of all nodes. After the data is uploaded, a log is added to the local upload record, recording the data packet upload time, destination address, and upload status. For example, if the data packet ID is data_104, the upload time is 10-13T10:00:10Z, and the status is successful, the record update enables communication link status tracking and auditing. Through the above steps, the synchronization status of the current communication link is continuously maintained and provided to the outside world.

[0033] S103: Based on the synchronization status, check whether there is a difference between the local cached data tag and the global network configuration data. If there is, retransmit and update the storage identifier. If not, clean up the expired data and obtain the basic data for encrypted communication. The current communication link synchronization status has been obtained. For example, the processing result indicates that there is data marked as "synchronization error_pending retransmission" in the local cache. A scan of the local cache data with the "pending retransmission" tag is performed and compared with the list of successfully uploaded and confirmed data in the global network configuration. Specifically, the packet identifiers (e.g., data_id_103, data_id_104) of all "pending retransmission" data in the local cache are extracted. The list of successfully added packet identifiers in the global network configuration is queried. For example, global_data_id_list contains data_id_100, data_id_101, data_id_102, and data_id_105. Through set difference operations, for example, if the local pending upload ID list local_pending_upload_ids contains data_id_103 and data_id_104, it is determined that the data identifiers data_id_103 and data_id_104 in the local cache are missing from the global network configuration list, indicating a difference exists. If a difference is detected, for example, if a difference is found... If data_id_103 and data_id_104 are not acknowledged in the global network configuration, a retransmission mechanism is immediately initiated. The complete data packets for data_id_103 and data_id_104 are re-encapsulated and sent to the global network configuration center. Upon successful retransmission, the corresponding data packet storage tag in the local cache is immediately updated; "Synchronization Error_Pending Retransmission" is changed to "Retransmitted_Global Confirmation." This updated storage tag accurately records the data processing progress and status. If there is no discrepancy between the local cache data tag and the global network configuration data, i.e. All locally cached "pending retransmission" data has been confirmed in the global network configuration, triggering the expired data cleanup process. The expired data cleanup rule is set as follows: data marked as "retransmitted_globally confirmed" and whose upload timestamp is more than 1 hour from the current time is considered expired data and will be permanently deleted from the local cache. For example, if data_id_100 was successfully retransmitted and globally confirmed at 10:00:00Z, then data_id_100 will be cleaned up after 11:00:00Z. Through this process, the basic data for encrypted communication is obtained.

[0034] Please see Figure 3 The specific steps of S2 are as follows: S201: Based on encrypted communication basic data, extract the standard quality range of the communication link, identify the standard intervals of signal frequency, power intensity, channel allocation and interference risk, screen out-of-limit parameters, and obtain out-of-limit communication parameters; The current communication link operating parameters are obtained from the encrypted communication basic data, including signal frequency, power intensity, channel allocation, and interference risk information. For example, the current communication link operating parameters are: signal frequency 156.805MHz, power intensity -85dBm, channel allocation is maritime mobile service channel 16, and interference risk score is 0.60. A preset standard quality range for the communication link is retrieved, determined based on the International Maritime Organization (IMO) and International Telecommunication Union (ITU) schemes and historical operating data. Specific standard ranges are set for each parameter: the signal frequency standard range is set to 156.800MHz ± 5kHz, i.e., [156.795MHz, 156.805MHz], exceeding this range is considered frequency deviation; the power intensity standard range is set to -80dBm to -60dBm, i.e., [-80dBm, -60dBm], below the lower limit or above the upper limit is considered power over-limit, power intensity below -90dBm is considered below standard, and above -50dBm is considered below standard. The channel allocation standard range is set to a predefined set of legally available channels, such as VHF channels 1 to 28. A channel not currently within this set is considered abnormal. The interference risk standard range is set to 0.0 to 0.4, i.e., [0.0, 0.4]. An interference risk score higher than 0.4 is considered high risk. Specifically, a risk score of 0.0 to 0.2 indicates low risk, 0.2 to 0.4 indicates medium risk, 0.4 to 0.7 indicates high risk, and 0.7 to 1.0 indicates extremely high risk. The operating parameters correspond to the standard range. One by one, the parameters exceeding the standard range are compared. For example, the actual signal frequency of 156.805MHz is at the upper limit compared with the standard range [156.795MHz, 156.805MHz]. The actual power intensity of -85dBm is lower than the lower limit of the standard range compared with the standard range [-80dBm, -60dBm]. The actual interference risk score of 0.60 is higher than the upper limit of the standard range compared with the standard range [0.0, 0.4]. Through precise numerical comparison, the parameters exceeding the standard range are identified and collected to form the over-limit communication parameters.

[0035] S202: Based on the over-limit communication parameters, detect the over-limit category. If there is a frequency offset, generate a frequency modulation command and mark the adjustment priority. If there is a power fluctuation, generate a power compensation command and mark the compensation level. If there is a channel conflict, generate a channel switching command and mark the switching order. Record the execution status to obtain the communication adjustment execution status. The process iterates through each parameter in the over-limit communication parameter set. For example, upon receiving over-limit communication parameters (frequency 156.805MHz (actual), power -85dBm (actual), interference risk 0.60 (actual)), the first parameter is detected as frequency, whose standard range is 156.800MHz ± 5kHz, i.e., [156.795MHz, 156.805MHz]. The current actual frequency is 156.805MHz, which is at the upper limit of the standard range, indicating a frequency offset. At this point, a frequency modulation command is generated, with a target frequency of 156.800MHz. The adjustment priority is set according to the offset magnitude. The adjustment priority setting criteria are: frequency offset greater than 10kHz, high priority; offset between 5kHz and 10kHz, medium priority; offset less than 5kHz, low priority. In this example, the actual frequency is 156.805MHz, the target center frequency is 156.800MHz, and the offset is 5kHz, so the adjustment priority is marked as medium. Next, the second parameter is detected as power intensity, whose... The standard range is -80dBm to -60dBm. The current actual power is -85dBm, which is 5dBm lower than the lower limit of the standard range, and is judged as a power fluctuation. A power compensation command is generated, for example, the compensation adjustment is +5dBm. The compensation level is set according to the power difference required for compensation. The compensation level setting criteria are: if the required compensation power is greater than 15dBm, the level is set to high; if it is between 5dBm and 15dBm, it is set to medium; and if it is less than 5dBm, it is set to low. In this example, a compensation of 5dBm is required, so the compensation level is marked as medium. Subsequently, the third parameter item is detected as interference risk, with a score of 0.60, which is higher than the high-risk threshold of 0.4, indicating that there is a channel conflict. A channel switching command is generated, for example, switching to channel 17. The switching order is set according to the preset backup channel list. The switching order setting criteria are: channels with high idle rate and low historical interference risk are selected first. If channel 17 meets this condition, its switching order is set to 1. The generated command and its corresponding priority, level or order are recorded, and the initial execution status is marked as "pending execution", thus obtaining the communication adjustment execution status.

[0036] S203: Adjust the execution status according to communication, detect whether there is interference risk, and if so, record the risk data and push the risk notification to the associated node to obtain communication anomaly record data; Based on the communication adjustment execution status, such as the frequency adjustment command priority being medium, the power compensation command level being medium, the channel switching command sequence being 1, the status being pending execution, and the initial interference risk being 0.60, a special check is performed on the part directly related to the interference risk, namely the initial interference risk score. The interference risk threshold is set to 0.4, and the judgment rule is: if the initial interference risk is greater than 0.4, then the interference risk is determined to exist. For example, if the current initial interference risk is 0.60, which is greater than the threshold of 0.4, then the interference risk is determined to exist. At this time, all relevant communication anomaly data are recorded in detail, including the occurrence time, geographical location (e.g., 34.5 degrees north latitude, 125.7 degrees east longitude), affected channel (e.g., channel 16), specific abnormal parameters detected (e.g., power intensity -85dBm, interference risk 0.60), and communication adjustment commands generated to respond to the risk (e.g., channel switching command, switching to channel 16). 17) Generate a risk event ID, such as RISK_EVENT_20251013_001. The database adopts a high-availability architecture, ensuring the persistence and fast retrieval of risk data. At the same time, a risk notification push mechanism is activated, which includes the risk event ID, risk type (e.g., high-intensity channel interference), affected channel, and corresponding measures (e.g., switching to channel 17). The risk notification is pushed to preset associated nodes through an independent low-bandwidth satellite communication link. The associated nodes include the shipborne communication terminals of ships in the same sea area (e.g., ship_id_DEF, ship_id_GHI) and the shore-based network management center (e.g., shore_station_001). All relevant parties receive risk warnings in real time. The notification prompts the associated nodes to take preventive measures or adjust their communication strategies in advance. Through a rigorous process, communication anomaly record data is generated and stored.

[0037] Please see Figure 4 The specific steps of S3 are as follows: S301: Based on communication anomaly record data, extract communication optimization paths, statistically analyze parameter changes in the signal transmission area, identify the range of parameter time changes, compare with interference thresholds and filter interference areas to obtain the interference area parameter set; Detailed logs of historical communication anomaly events are obtained from communication anomaly record data. For example, within the past 24 hours, within the sea area between 34° and 35° North latitude and 125° and 126° East longitude, all records of channel 16 with power intensity below -80dBm or interference risk above 0.4 are included. These records contain information such as timestamps, latitude and longitude, anomaly type, and anomaly values. This historical anomaly dataset serves as the basis for exploring communication optimization paths. Subsequently, statistical analysis of signal transmission area parameter changes is performed, using hourly time windows and 10km spatial grids. Aggregated analysis of anomaly records within the aforementioned sea area is conducted. For example, within a 10km x 10km grid (center point 34.5° North latitude, 125.5° East longitude), the average power intensity of channel 16 over the past hour is -88dBm, the average interference risk is 0.75, and the average frequency offset is 8kHz. Next, the parameter time variation range is identified for each grid area. The system analyzes the maximum, minimum, and duration of each parameter (e.g., power intensity, interference risk, frequency offset) over the past 24 hours. For example, within the grid mentioned above, the interference risk of channel 16 reached as high as 0.90 between 10:00:00Z and 10:30:00Z, lasting for 30 minutes, and decreased to 0.50 between 10:30:00Z and 11:00:00Z. The interference threshold is set to 0.45, which is determined based on the correlation analysis of historical communication interruption events. This threshold indicates that communication quality begins to decline above this value. The average interference risk of each grid area is compared with this interference threshold. For example, if the average interference risk of a certain grid is 0.75, which is greater than 0.45, then the grid is selected as an interference area. After the selection is completed, all grids marked as interference areas and their corresponding detailed parameter change statistics (including average power intensity, average interference risk, average frequency offset, parameter time change range, etc.) are collected to form the interference area parameter set.

[0038] S302: Based on the interference area parameter set, extract the communication index path of the corresponding area, analyze the signal status, identify the signal strength and coverage, count the signal distribution frequency, adjust the communication index order, optimize the channel structure, and obtain the high-frequency band index adjustment result; Based on the parameter set of the interference area, each interference area and its related parameter information are obtained. For example, a 10-kilometer grid centered at 34.5 degrees North latitude and 125.5 degrees East longitude is identified as the interference area, with parameters showing an interference risk of 0.75 for channel 16. For this interference area, all available communication channels are extracted as communication index paths. For example, for VHF communication, available paths include channels 16, 17, 18, 19, 68, and 69. Subsequently, the signal status of each channel on the communication index path is analyzed: signal strength identification, querying historical Received Signal Strength Indication (RSSI), Signal-to-Noise Ratio (SNR), and Bit Error Rate (BER) data for each channel in the area; signal coverage identification, evaluating the reliable communication coverage radius of each channel in the interference area based on historical geographical location data and signal propagation models. For example, the reliable coverage radius of channel 16 is 5 kilometers, and the reliable coverage radius of channel 17 is 15 kilometers. Next, signal distribution frequency statistics are performed, calculating the number of times each channel was used, the number of successful communications, and the number of handovers due to anomalies in the area over the past 24 hours. For example, channel 16 was used 100 times with a success rate of 60% and 40 handovers; channel 17 was used 20 times with a success rate of 95% and 1 handover. The communication index order is adjusted, and a comprehensive score C_score is calculated for each channel: C_score = (SNR_normalized × 0.4) + (Coverage_normalized × 0.3) + ((1-BER) × 0.2) + ((Successful_usage_rate) × 0.1), with all parameters normalized to 0 to 1. For example, channel 17 has better SNR, coverage, BER, and success rate than channel 16, so its C_score is higher than that of channel 16. Channels are sorted from highest to lowest based on their C_score to form an optimized communication index order. Finally, the channel structure is optimized according to the adjusted communication index order. Channels with higher rankings are given priority for recommendation to communication requests. The network resource allocation strategy is dynamically adjusted, and high-priority channels obtain stable resources. For example, channel 17 is given priority for allocation to new communication requests, and the use of channel 16 is restricted, resulting in the high-frequency band index adjustment results.

[0039] S303: Based on the high-frequency band index adjustment results, analyze the optimized communication path, identify the signal coverage distribution, compare the change in coverage before and after optimization, and calculate the optimization ratio to obtain the optimized communication index path. Based on the high-frequency band index adjustment results, including the reordering and optimization of communication channels and associated performance parameters, for example, through the previous stage adjustment, channel 17 is given high priority, and its signal strength, coverage, and reliability are expected to be better than channel 16. Optimized communication path analysis is then performed, using network simulation or prediction models to evaluate the routing efficiency, success rate, and latency of future communication requests on this path based on the new channel index order and improved performance parameters. For example, simulations show that using the new channel priority, the expected communication success rate is increased to 98%, and the average latency is reduced by 20%. Subsequently, signal coverage distribution is identified. Based on the optimized channel structure and the improved performance of each channel, the actual geographic coverage of each channel is recalculated or estimated, and the total coverage area of ​​the communication network is obtained by summing them. For example, before optimization, the total reliable coverage area of ​​channels 16 and 17 was 500 square kilometers. With reduced interference and priority adjustment, the coverage area of ​​channel 17 is expanded and utilized more effectively, resulting in a total reliable coverage area of ​​650 square kilometers for channels 16 and 17. Next, the change in coverage before and after optimization is compared, and the precise values ​​of the total coverage area before and after optimization are compared to calculate the net increase in coverage area. For example, the total coverage area before optimization was 500 square kilometers, and the total coverage area after optimization was 650 square kilometers, a change of 150 square kilometers. The optimization ratio is calculated as the percentage increase in coverage compared to before optimization, using the formula: Optimization_Ratio = (Change_Amount / Coverage_Before) × 100%. For example, Optimization_Ratio = (150 / 500) × 100% = 30%. This ratio quantifies the effectiveness of the optimization strategy. All analysis results are integrated to form the final optimized communication index path, which includes the optimized channel index order and data on expected performance improvements and coverage expansion.

[0040] Please see Figure 5 The specific steps of S4 are as follows: S401: Based on the optimized communication index path, extract the identity information of the communication request operator, detect the operator's permission level, compare with the communication permission baseline value, filter operators that meet the permission level, and obtain a list of operators that meet the permissions. Operators who meet the required permission level are defined by extracting their identity information and comparing it with the permission baseline value to determine their corresponding security permission level. When a communication request is initiated based on the optimized communication index path, the request includes intercepted operator identity information, such as user ID captain_shipA_001, device ID VHF_TX_001, role captain, and authentication token XYZ123. The identity authentication and permission management module is invoked to query the operator's permission level based on the user ID or authentication token. Permission levels are set as integer values ​​from 1 to 5, with 1 representing low permission and 5 representing high permission. For example, captain_shipA_001 has a permission level of 4. Simultaneously, a communication permission baseline value is defined, preset according to the sensitivity of the communication path and the importance of the data. For example, for emergency calls on VHF channel 16, the baseline value is 3; for general data transmission channels, the baseline value is 1. The setting of the communication permission baseline value is based on the International Regulations for Preventing Collisions at Sea (COCR) and the shipping company's internal safety protocols, clearly specifying the operator permissions required for different communication types. The operator's permission level is compared with the precise value of the communication permission baseline value. The judgment rule is: if the operator's permission level is greater than or equal to the communication permission baseline value, the operator meets the permissions. For example, if the operator's permission level is 4 and the communication permission baseline value is 3, then 4≥3, which meets the criteria. If the operator's permission level is 2 and the communication permission baseline value is 3, then 2<3, which does not meet the criteria. Based on the comparison results, among all operators who initiate communication requests, operators who meet the condition of "operator permission level greater than or equal to communication permission baseline value" are selected, and their identity information is collected to form a list of qualified operators.

[0041] S402: Based on the list of authorized operators, record communication logs, count communication time, channel type and operator identifier, associate communication paths, analyze the communication behavior of the same operator at different time points, extract communication frequency and trend, identify short-term high-frequency operations and extract abnormal behavior features, and obtain communication log behavior sequence. Abnormal behavior characteristics refer to identifying short-term high-frequency or abnormal operation patterns and extracting features by analyzing the frequency and trend of operators' communication at different time points. Communication log behavior sequence refers to the analyzable behavior sequence formed by recording communication time, channel type, operator identification log information, and processing it according to time sequence. Based on a list of authorized operators, detailed communication logs are recorded immediately when an operator initiates communication. For example, a log entry might contain the log ID LOG_A1, timestamp 10-13T10:15:20Z, channel type VHF_16, operator identifier captain_shipA_001, communication path ID Path_VHF_Optimized, and a data size of 50KB. Subsequent log aggregation and statistics accurately record the communication behavior of each operator at different time points. For instance, for captain_shipA_001, three communications were recorded via the VHF_16 channel at 10:15:20Z, 10:16:05Z, and 10:16:45Z. Each communication log entry is precisely associated with the optimized communication index path, and comprehensive tracking of communication session routing details is achieved. Subsequently, communication behavior of the same operator at differentiated time points is analyzed. For example, analysis of the communication logs of captain_shipA_001 within a 5-minute time window from 10:15:00Z to 10:20:00Z extracts communication frequency and trends. Specifically, within a 5-minute window, the number of communications by captain_shipA_001 was calculated as 3, which, compared to the historical average communication frequency (once every 5 minutes), indicates an increase in communication frequency. The threshold for judging short-term high-frequency operations, high_frequency_threshold, is set to more than 2 communications within 5 minutes. This threshold is based on long-term monitoring data analysis of normal crew communication patterns. Comparing the current communication frequency of 3 times with high_frequency_threshold of 2 times, it is determined that captain_shipA_001 performed a short-term high-frequency operation between 10:15:00Z and 10:20:00Z. Abnormal behavior features are then extracted, such as generating an abnormal feature description with the feature type "short-term high frequency," operator ID "captain_shipA_001," time window of 5 minutes, actual frequency of 3, and threshold frequency of 2. All log data, statistical results, and abnormal features are serialized to form a communication log behavior sequence sorted by timestamp.

[0042] S403: Based on the behavior sequence of communication logs, extract permission change records, detect operator permission adjustment logs, count the number of permission changes in a short period of time, filter the identity information of operators who continuously change permissions, and obtain an intelligent encrypted communication security judgment dataset. Based on communication log behavior sequences, the sequence records operator communication behaviors and potential anomalies. All permission change records are extracted. For example, a permission change record might be event ID Perm_Change_001, timestamp 10-13T09:45:00Z, management ID sys_admin_001, target operator ID captain_shipA_001, old permission 3, new permission 4. Subsequently, for operator IDs involved in the communication log behavior sequences, related operator permission adjustment logs are detected. For example, it is found that captain_shipA_001's permission was changed from level 3 to level 4 before 10:00:00Z. The "short time" window is set to 1 hour, and the number of permission changes for each operator ID within this window is counted. For example, between 10:00:00Z and 11:00:00Z, captain_shipA_001 only had one permission change, while operator_id_X had two permission changes (from level 2 to 3, and then from 3 to 2). The continuous change threshold for filtering permissions is set to 2 times. This threshold is based on the frequency analysis of permission changes in normal operation and maintenance processes. An operator is considered abnormal if their permission changes more than twice within a short period. The number of permission changes for each operator ID is compared with the continuous change threshold. For example, if captain_shipA_001 has changed permissions once, which is less than the threshold of 2 times, they are not filtered. However, if operator_id_X has changed permissions twice, then operator_id_X is filtered as an operator with continuously changing permissions. Finally, the identity information of all filtered operators with continuously changing permissions, along with abnormal behavior characteristics from communication log behavior sequences and relevant security event information, are integrated to construct an intelligent encrypted communication security judgment dataset.

[0043] Please see Figure 6 The specific steps of S5 are as follows: S501: Based on the intelligent encrypted communication security decision dataset, extract the communication operation records between nodes, count the operation frequency and time interval between the two ends of the communication, identify the frequency ratio and interval offset, filter the channels whose frequency difference exceeds the offset threshold, and obtain the communication usage frequency offset item. Based on the intelligent encrypted communication security decision dataset, the dataset contains communication log behavior sequences, permission change records, and identified abnormal behavior features. Each node's communication operation record is extracted from the dataset, including the source node ID, target node ID, communication timestamp, channel used, and data volume. For example, the record shows that node_A (source node) and node_B (target node) communicated via channel 16 at 10:30:10Z. Subsequently, for each pair of communicating nodes, the frequency and time interval of operations at both ends of the communication are statistically analyzed. Specifically, within a preset analysis time window (e.g., the past hour), the total number of communications from node_A to node_B (Freq_A_to_B, e.g., 5 times) and the total number of communications from node_B to node_A (Freq_B_to_A, e.g., 2 times) are calculated. Simultaneously, the communication time interval between node_A and node_B is calculated (e.g., 5 seconds, 10 seconds, 8 seconds, 12 seconds, 7 seconds), and its average value, Avg_Interval_A_to_B (e.g., 8.4 seconds), is calculated. Similarly, Avg_Interval_B_to_A is calculated (e.g., 15 seconds, 20 seconds, averaging 17.5 seconds). Next, the frequency ratio and interval offset are identified, with a frequency ratio of 2.5 and an interval offset of 9.1 seconds. The frequency offset thresholds are set as follows: the threshold Ratio_Threshold for the frequency ratio is 2.0 (a normal ratio should be between 0.5 and 2.0), and the threshold Interval_Threshold for the interval offset is 5 seconds. These thresholds are set based on statistical analysis of normal inter-node communication patterns and expert experience. The calculated frequency ratio of 2.5 is compared with Ratio_Threshold2.0, and 2.5 > 2.0; the interval offset of 9.1 seconds is compared with Interval_Threshold5 seconds, and 9.1 seconds > 5 seconds. All channels whose Frequency_Ratio or Interval_Offset exceeds the corresponding threshold are filtered out. For example, channel 16 is filtered out because both its frequency ratio and interval offset exceed the limits. The filtered channels and their related offset data are collected to obtain the communication usage frequency offset item.

[0044] S502: Based on the communication usage frequency offset, extract the corresponding channel operation parameters between nodes, calculate the parameter difference value and compare it with the communication operation difference benchmark value, screen the node areas with parameter fluctuations within a continuous period, and obtain the communication usage trend analysis conclusion. Based on the communication frequency offset term, it is indicated that there is a communication frequency or time interval offset between the channel and the node pair. For example, channel 16 is identified as having an offset between node_A and node_B. Then, the operational parameters of this channel between node_A and node_B are extracted. These parameters include average latency, packet loss rate, jitter, and bandwidth utilization. For example, from node_A's perspective, the average latency of channel 16 is 150 milliseconds, the packet loss rate is 2%, and the jitter is 20 milliseconds; from node_B's perspective, the average latency of channel 16 is 160 milliseconds, the packet loss rate is 3%, and the jitter is 25 milliseconds. Next, the parameter difference values ​​are calculated. For each operational parameter, the absolute difference between its observed values ​​between node_A and node_B is calculated. For example, the latency difference value is Latency_Diff = 10 ms, the packet loss rate difference value is Packet_Loss_Diff = 1%, and the jitter difference value is Jitter_Diff = 5 ms. A preset communication operation difference baseline value is established, defining the allowable range of parameter differences based on communication protocol standards and network performance indicators. For example, with a latency difference baseline of 5ms, a packet loss rate difference baseline of 0.5%, and a jitter difference baseline of 3ms, the calculated difference value of each parameter is compared precisely with the corresponding communication operation difference baseline value. For instance, a latency difference of 10ms is greater than a latency difference of 5ms, a packet loss rate difference of 1% is greater than a packet loss rate difference of 0.5%, and a jitter difference of 5ms is greater than a jitter difference baseline of 3ms. A continuous period is set to 10 minutes, during which the parameter differences are continuously monitored to ensure they do not exceed the baseline values. All node regions whose parameter differences consistently or frequently exceed the communication operation difference baseline values ​​within the continuous period are then identified. For example, if the latency difference between node_A and node_B exceeds the 5ms baseline value five times consecutively within the past 10 minutes, and node_A and node_B belong to the "North Pacific Region", then the "North Pacific Region" is selected. The selected node region and the corresponding parameter fluctuation analysis results are integrated to form a communication usage trend analysis conclusion.

[0045] Please see Figure 7 A smart digital encrypted radio encryption system, comprising: The communication integration module is used to collect signal frequency, power intensity, channel allocation, and interference risk based on signal characteristic parameters of the maritime communication environment, and store them in an encrypted information database. If data synchronization is interrupted, it is cached to local storage to obtain encrypted communication basic data. The communication adjustment module is used to filter parameters that exceed the standard range based on encrypted communication basic data, generate frequency modulation commands, compensate for power fluctuations, switch channel conflicts, record risk data and notify associated nodes, and obtain communication anomaly record data. The communication optimization module is used to call the communication optimization path based on communication anomaly record data, analyze signal transmission stability, filter interference areas, adjust the signal coverage strategy of interference areas, compare high-frequency used channels with interference areas, filter the anomaly index in the communication optimization path, adjust the communication index structure, and obtain the optimized communication index path. The access control module is used to filter the identity information of the operator making the communication request based on the optimized communication index path, match the access level, record the communication log, analyze the access change records, filter the number of access changes in a short period of time, and obtain an intelligent encrypted communication security judgment dataset. The communication analysis module is used to filter channels with varying usage frequencies based on the intelligent encrypted communication security decision dataset, and, in conjunction with communication security management requirements, to filter high-frequency usage channels within the communication parameter fluctuation range, adjust communication optimization path planning, and obtain communication usage trend analysis conclusions.

[0046] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for encrypting an intelligent digital encrypted radio station, characterized in that, Includes the following steps: S1: Based on the signal characteristic parameters of the maritime communication environment, establish a dynamic routing table for the wireless ad hoc network, store the communication node information in the encrypted information database, and synchronously update it in the global network configuration. Detect the synchronization status and obtain the basic data for encrypted communication. S2: Based on the encrypted communication basic data, extract communication link quality indicators, filter interference channel areas, generate frequency modulation commands for frequency offset, generate power compensation commands for power fluctuation, and record and notify associated nodes if there is multiple path interference to obtain communication anomaly record data. S3: Based on the communication anomaly record data, extract the communication optimization path, analyze the signal transmission stability, screen the interference area, adjust the frequency of the regional signal, analyze the signal coverage, screen the high-frequency bands, and obtain the optimized communication index path. S4: Based on the optimized communication index path, according to the communication permission management database, detect the identity information of the communication operator, extract permission change records, detect the operator permission adjustment log, filter the number of permission changes in a short period of time, and obtain the intelligent encrypted communication security judgment dataset.

2. The intelligent digital encrypted radio encryption method according to claim 1, characterized in that, The encrypted communication basic data includes signal frequency information, power strength information, channel allocation information, interference risk information, and synchronization status information. The communication anomaly record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme status, and risk notification information. The optimized communication index path includes high-frequency band index, optimized path scheme, and frequency adjustment index. The intelligent encrypted communication security decision dataset includes operator identity record, permission matching record, communication behavior record, and permission change count record.

3. The intelligent digital encrypted radio encryption method according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Based on the signal characteristic parameters of the maritime communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, stored in an encrypted information database, and a communication data sequence is generated. S102: Based on the communication data sequence, extract the current synchronization status parameters, detect the data transmission integrity, determine whether the synchronization is normal, if abnormal, store the communication data locally and mark the storage tag, if normal, upload to the global network configuration, update the upload record after the data upload is successful, and obtain the synchronization status; S103: Based on the synchronization status, detect whether there is a difference between the local cached data tag and the global network configuration data. If there is, retransmit and update the storage identifier; otherwise, clean up the expired data to obtain the basic data for encrypted communication.

4. The intelligent digital encrypted radio encryption method according to claim 3, characterized in that, The specific steps of S2 are as follows: S201: Based on the encrypted communication basic data, extract the standard quality range of the communication link, identify the standard intervals of signal frequency, power intensity, channel allocation and interference risk, filter out the parameters exceeding the limit, and obtain the communication parameters exceeding the limit. S202: Based on the over-limit communication parameters, detect the over-limit category. If there is a frequency offset, generate a frequency modulation command and mark the adjustment priority. If there is a power fluctuation, generate a power compensation command and mark the compensation level. If there is a channel conflict, generate a channel switching command and mark the switching order. Record the execution status to obtain the communication adjustment execution status. S203: Adjust the execution state according to the communication, detect whether there is interference risk, if there is, record the risk data and push the risk notification to the associated node to obtain communication anomaly record data.

5. The intelligent digital encrypted radio encryption method according to claim 4, characterized in that, The specific steps of S3 are as follows: S301: Based on the communication anomaly record data, extract the communication optimization path, statistically analyze the parameter changes in the signal transmission area, identify the parameter time change range, compare the interference threshold and filter the interference area to obtain the interference area parameter set; S302: Based on the interference area parameter set, extract the communication index path of the corresponding area, analyze the signal status, identify the signal strength and coverage, count the signal distribution frequency, adjust the communication index order, optimize the channel structure, and obtain the high-frequency band index adjustment result; S303: Based on the high-frequency band index adjustment results, analyze the optimized communication path, identify the signal coverage distribution, compare the change in coverage before and after optimization, calculate the optimization ratio, and obtain the optimized communication index path.

6. The intelligent digital encrypted radio encryption method according to claim 5, characterized in that, The specific steps of S4 are as follows: S401: Based on the optimized communication index path, extract the identity information of the communication request operator, detect the operator's permission level, compare with the communication permission baseline value, filter operators that meet the permission level, and obtain a list of operators that meet the permissions. S402: Based on the list of qualified operators, record communication logs, count communication time, channel type and operator identifier, associate communication paths, analyze the communication behavior of the same operator at different time points, extract communication frequency and change trend, identify short-term high-frequency operations and extract abnormal behavior features, and obtain communication log behavior sequence. S403: Based on the communication log behavior sequence, extract permission change records, detect operator permission adjustment logs, count the number of permission changes in a short period of time, filter the identity information of operators who continuously change permissions, and obtain an intelligent encrypted communication security judgment dataset.

7. The intelligent digital encrypted radio encryption method according to claim 6, characterized in that, The operator who meets the permission level refers to the operator whose corresponding security permission level is determined by extracting the operator's identity information and comparing it with the permission benchmark value; The abnormal behavior characteristics refer to the identification of short-term high-frequency or abnormal operation patterns and the extraction of features by analyzing the frequency and trend of operator communication at different time points. The communication log behavior sequence refers to the analyzable behavior sequence formed by recording communication time, channel type, operator identification log information, and processing it according to time sequence.

8. The intelligent digital encrypted radio encryption method according to claim 1, characterized in that, It also includes the following steps: S5: Based on the intelligent encrypted communication security decision dataset, extract communication usage records, analyze communication usage trends, filter channels with changing usage frequencies, analyze communication usage stability, filter communication parameter fluctuation areas, and obtain communication usage trend analysis conclusions; The conclusions of the communication usage trend analysis include communication usage trends, usage frequency change data, communication parameter fluctuation ranges, and communication usage stability analysis.

9. The intelligent digital encrypted radio encryption method according to claim 8, characterized in that, The specific steps of S5 are as follows: S501: Based on the intelligent encrypted communication security decision dataset, extract the communication operation records between nodes, count the operation frequency and time interval between the two ends of the communication, identify the frequency ratio and interval offset, filter the channels whose frequency difference exceeds the offset threshold, and obtain the communication usage frequency offset item. S502: Based on the communication usage frequency offset, extract the corresponding channel operation parameters between nodes, calculate the parameter difference value and compare it with the communication operation difference benchmark value, filter out the node regions with parameter fluctuations within a continuous period, and obtain the communication usage trend analysis conclusion.

10. An intelligent digital encrypted radio encryption system, used to implement the intelligent digital encrypted radio encryption method as described in claim 8, characterized in that, include: The communication integration module is used to collect signal frequency, power intensity, channel allocation, and interference risk based on signal characteristic parameters of the maritime communication environment, and store them in an encrypted information database. If data synchronization is interrupted, it is cached to local storage to obtain encrypted communication basic data. The communication adjustment module is used to filter parameters that exceed the standard range based on the encrypted communication basic data, generate frequency modulation commands, compensate for power fluctuations, switch channel conflicts, record risk data and notify associated nodes, and obtain communication anomaly record data. The communication optimization module is used to call the communication optimization path based on the communication anomaly record data, analyze signal transmission stability, filter interference areas, adjust the signal coverage strategy of interference areas, compare high-frequency used channels with interference areas, filter the anomaly index in the communication optimization path, adjust the communication index structure, and obtain the optimized communication index path. The permission management module is used to filter the identity information of the communication request operator, match the permission level, record the communication log, analyze the permission change record, filter the number of permission changes in a short period of time, and obtain the intelligent encrypted communication security judgment dataset based on the optimized communication index path. The communication analysis module is used to filter channels with varying usage frequencies based on the intelligent encrypted communication security decision dataset, and, in conjunction with communication security management requirements, filter high-frequency usage channels within the communication parameter fluctuation range, adjust the communication optimization path planning, and obtain communication usage trend analysis conclusions.

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