Intelligent digital encryption radio encryption method and system

Abstract

The application relates to the technical field of encrypted communication, in particular to an intelligent digital encrypted radio encryption method and system, which comprises the following steps: based on signal characteristic parameters of a marine communication environment, storing communication node information into an encryption database, extracting a communication link quality index, recording multiple path interferences, screening high-frequency bands, detecting communication operator identities and permission changes, analyzing communication use trends and frequency changes, and obtaining communication use trend analysis conclusions. Through dynamic monitoring of signal characteristics and adaptive optimization of network structure, the application realizes real-time reconstruction of a communication path and avoidance of an interference area, guarantees transmission stability under a marine environment, dynamically adjusts frequencies and powers in combination with link quality and interference analysis, improves coverage and reliability, realizes abnormality identification and risk early warning through comprehensive determination of communication behaviors and permission changes, enhances system adaptability and protection capability, and improves the stability, security and resource utilization efficiency of a communication network.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of encrypted communication, in particular to an intelligent digital encrypted radio encryption method and system. BACKGROUND

[0002] The technical field of encrypted communication mainly involves ensuring that data is not accessed or tampered with by unauthorized third parties during transmission by encrypting and decrypting information. This field is widely used in military, financial, aerospace, transportation, and communication industries. Its core includes encryption algorithms, encryption key management, data security protocols, and information protection. Encrypted communication technology covers 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 an important communication tool widely used in ships and aircraft to ensure safe communication in complex environments. The traditional intelligent digital encrypted radio encryption method refers to encrypting the communication signals of the shipboard radio through a pre-set encryption algorithm to prevent information leakage and unauthorized access. The traditional encryption method uses a symmetric encryption algorithm to ensure the security of the communication content by ensuring the consistency of the encryption and decryption keys. Existing encrypted radios are mostly provided by foreign manufacturers, and their technology is subject to foreign countries, which poses risks to the safety and autonomy of ship communication.

[0003] Traditional intelligent digital encrypted radios lack dynamic recognition and real-time adjustment mechanisms for signal characteristics during communication encryption. The communication path and frequency resources are fixedly configured, making it difficult to cope with signal attenuation and multipath interference in complex marine environments, leading to unstable data transmission. In terms of authority control, it mainly relies on manual review and static rules, which cannot make real-time judgments on operator behavior changes, causing potential security risks. When the number of communication nodes increases or channel interference increases, the system may experience delays and errors in data synchronization and transmission response, affecting communication safety and continuity and limiting the application effect of the communication system in multi-node collaboration and high-security scenarios. SUMMARY

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

[0005] To achieve the above purpose, the application adopts the following technical scheme: an intelligent digital encrypted radio encryption method, comprising the following steps:

[0006] S1: based on the signal characteristic parameters of the marine communication environment, a dynamic routing table of the wireless ad hoc network is established, the communication node information is stored to the encrypted information database, and is synchronously updated to the global network configuration, a synchronous state is detected, and encrypted communication basic data is obtained;

[0007] S2: based on the encrypted communication basic data, a communication link quality index is extracted, an interference channel area is screened, a frequency offset generates a frequency modulation instruction, a power fluctuation generates a power compensation instruction, and if multiple path interference exists, the associated node is recorded and notified, and communication abnormal record data is obtained;

[0008] S3: based on the communication abnormal record data, an optimized communication path is extracted, signal transmission stability is analyzed, an interference area is screened, the area signal is frequency adjusted, signal coverage is analyzed, and a high-frequency frequency band is screened, and an optimized communication index path is obtained;

[0009] S4: based on the optimized communication index path, the communication operator identity information is detected according to the communication permission management database, the permission change record is extracted, the operator permission adjustment log is detected, the permission change frequency in a short time is screened, and intelligent encrypted communication security decision data set is obtained.

[0010] As a further scheme of the application, the encrypted communication basic data includes signal frequency information, power intensity information, channel allocation information, interference risk information and synchronization state information, the communication abnormal record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme state and risk notification information, the optimized communication index path includes high-frequency frequency band index, optimized path scheme and frequency adjustment index, and the intelligent encrypted communication security decision data set includes operator identity record, permission matching record, communication behavior record and permission change frequency record.

[0011] As a further scheme of the application, the specific steps of S1 are:

[0012] S101: based on the signal characteristic parameters of the marine communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, stored in the encrypted information database, and communication data sequence is generated;

[0013] S102: based on the communication data sequence, the current synchronization state parameter is extracted, the data transmission integrity is detected, whether the synchronization is normal is judged, if abnormal, the communication data is stored to the local, and the storage label is labeled, if normal, it is uploaded to the global network configuration, the data upload record is updated after successful data upload, and the synchronization state is obtained;

[0014] S103: According to the synchronization state, detecting whether the local cache data tag is different from the global network configuration data, if so, supplementing and updating the storage identifier, if not, cleaning up expired data, and obtaining encrypted communication basic data.

[0015] As a further scheme of the present application, the specific steps of S2 are:

[0016] S201: Based on the encrypted communication basic data, extracting the standard quality range of the communication link, identifying the standard interval of signal frequency, power intensity, channel allocation and interference risk, screening out the out-of-limit parameters, and obtaining the out-of-limit communication parameters.

[0017] S202: Based on the out-of-limit communication parameters, detecting the out-of-limit category, if frequency offset, generating a frequency modulation instruction and marking the adjustment priority, if power fluctuation, generating a power compensation instruction and marking the compensation level, if channel conflict, generating a channel switching instruction and marking the switching order, recording the execution state, and obtaining the communication adjustment execution state.

[0018] S203: According to the communication adjustment execution state, detecting whether the interference risk exists, if so, recording the risk data and pushing the risk notification to the associated node, and obtaining the communication abnormality record data.

[0019] As a further scheme of the present application, the specific steps of S3 are:

[0020] S301: Based on the communication abnormality record data, extracting the communication optimization path, counting the parameter changes of the signal transmission area, identifying the parameter time change range, comparing the interference threshold and screening the interference area, and obtaining the interference area parameter set.

[0021] S302: Based on the interference area parameter set, extracting the communication index path of the corresponding area, analyzing the signal state, identifying the signal intensity and coverage range, counting the signal distribution frequency, adjusting the communication index order, optimizing the channel structure, and obtaining the high-frequency band index adjustment result.

[0022] S303: Based on the high-frequency band index adjustment result, analyzing the optimized communication path, identifying the signal coverage range distribution, comparing the coverage range change amount before and after optimization, counting the optimization ratio, and obtaining the optimized communication index path.

[0023] As a further scheme of the present application, the specific steps of S4 are:

[0024] S401: Based on the optimized communication index path, extracting the communication request operator identity information, detecting the operator authority level, comparing the communication authority benchmark value, screening out the operators meeting the authority level, and obtaining the operator list meeting the authority.

[0025] S402: record communication logs based on the operator list that meets the permission, count communication time, channel category and operator identification, associate communication path, analyze communication behavior of the same operator at different time points, extract communication frequency and change trend, identify short-time high-frequency operation and extract abnormal behavior characteristics, and obtain a communication log behavior sequence;

[0026] 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 operator identity information with continuous permission changes, and obtain an intelligent encryption communication security decision dataset.

[0027] As a further scheme of the present application, the operator that meets the permission level refers to determining the corresponding security permission level by extracting the operator identity information and comparing it with the permission reference value;

[0028] The abnormal behavior characteristics refer to identifying short-time high-frequency or abnormal operation mode by analyzing the communication frequency and change trend of the operator at different time points, and extracting the characteristics;

[0029] The communication log behavior sequence refers to recording communication time, channel type, operator identification log information, and processing in time sequence to form an analyzable behavior sequence.

[0030] As a further scheme of the present application, the intelligent digital encryption radio encryption method further comprises the following steps:

[0031] S5: based on the intelligent encryption communication security decision dataset, extract communication usage records, analyze communication usage trend, filter channels with changing usage frequency, analyze communication usage stability, filter communication parameter fluctuation area, and obtain communication usage trend analysis conclusion;

[0032] The communication usage trend analysis conclusion includes communication usage trend, usage frequency change data, communication parameter fluctuation area, and communication usage stability analysis.

[0033] As a further scheme of the present application, the specific steps of S5 are:

[0034] S501: based on the intelligent encryption communication security decision dataset, extract communication operation records between nodes, count operation frequency and time interval of both ends of communication, identify frequency ratio and interval offset, filter channels with frequency difference exceeding the offset threshold, and obtain communication usage frequency offset item;

[0035] S502: according to the communication usage frequency offset item, extract operation parameters of the corresponding channel between nodes, calculate parameter difference value and compare with communication operation difference reference value, filter node area with parameter fluctuation in continuous period, and obtain communication usage trend analysis conclusion.

[0036] The application also provides an intelligent digital encryption radio encryption system, comprising:

[0037] The communication integration module is used for collecting signal frequency, power intensity, channel allocation and interference risk based on signal characteristic parameters of the marine communication environment, storing to an encryption information database, and if data synchronization is interrupted, buffering to local storage to obtain encryption communication basic data.

[0038] The communication adjustment module is used for screening parameters exceeding a standard range based on the encryption communication basic data, generating frequency modulation instructions, compensating power fluctuation, switching channel conflict, recording risk data and notifying associated nodes to obtain communication abnormal record data.

[0039] The communication optimization module is used for calling a communication optimization path based on the communication abnormal record data, analyzing signal transmission stability, screening interference areas, adjusting signal coverage strategies of the interference areas, comparing high-frequency use channels and interference areas, screening abnormal indexes in the communication optimization path, adjusting communication index structures and obtaining an optimized communication index path.

[0040] The permission management module is used for screening communication request operator identity information based on the optimized communication index path, matching permission levels, recording communication logs, analyzing permission change records, screening permission change times in a short time and obtaining intelligent encryption communication security decision data sets.

[0041] The communication analysis module is used for screening use frequency change channels based on the intelligent encryption communication security decision data sets, screening high-frequency use channels in communication parameter fluctuation areas in combination with communication security management requirements, adjusting communication optimization path planning and obtaining communication use trend analysis conclusions.

[0042] Compared with the prior art, the application has the advantages and positive effects that:

[0043] The application realizes real-time reconstruction of a communication path and active avoidance of an interference area by dynamic monitoring of communication signal characteristics and adaptive optimization of a network structure, so that data can be stably transmitted in a complex marine environment, frequency and power allocation can be dynamically adjusted by combining double analysis of link quality and channel interference, signal attenuation and multipath interference influence can be reduced, communication coverage and transmission reliability can be improved, operator behavior abnormalities can be identified in real time and safety risks can be warned in advance by comprehensive determination of communication behaviors and permission changes, a communication parameter self-learning mechanism is formed in system operation, transmission strategies can be continuously optimized according to historical records, adaptability and protection capability of the system to environmental changes are enhanced, and the overall communication network is significantly improved in stability, security, intelligence degree and resource utilization efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiments description. Obviously, the drawings in the following description only show some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative effort.

[0045] Figure 1 The step flowchart of the present application.

[0046] Figure 2 The S1 refinement diagram of the present application.

[0047] Figure 3 The S2 refinement diagram of the present application.

[0048] Figure 4 The S3 refinement diagram of the present application.

[0049] Figure 5 The S4 refinement diagram of the present application.

[0050] Figure 6 The S5 refinement diagram of the present application.

[0051] Figure 7 The system module diagram of the present application. DETAILED DESCRIPTION

[0052] The technical solutions in the present application will be described below with reference to the drawings.

[0053] In the embodiments of the present application, the words such as "example", "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. In fact, the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0054] In the embodiments of the present application, "image" and "picture" can be used interchangeably at times. It should be pointed out that when the distinction is not emphasized, the meanings expressed are consistent. "Of", "corresponding" and "corresponding" can be used interchangeably at times. It should be pointed out that when the distinction is not emphasized, the meanings expressed are consistent.

[0055] In the embodiments of the present application, sometimes the subscript such as W1 can be written in the form of non-subscript such as W1. When the distinction is not emphasized, the meanings expressed are consistent.

[0056] In order to make the technical problems, technical solutions and advantages to be solved by the present application clearer, specific embodiments will be described in detail below with reference to the drawings.

[0057] Referring to Figure 1 The embodiment of the present application provides an intelligent digital encryption radio encryption method, which comprises the following steps:

[0058] S1: Based on the signal characteristic parameters of the marine communication environment, a wireless ad hoc network dynamic routing table is established, the communication node information is stored to the encryption information database, and is synchronously updated to the global network configuration, the synchronization state is detected, and the encryption communication basic data is obtained;

[0059] S2: Based on the encryption communication basic data, the communication link quality index is extracted, the interference channel area is screened, the frequency offset generates the frequency modulation instruction, the power fluctuation generates the power compensation instruction, the multiple path interference exists, and the associated node is recorded and notified, and the communication abnormal record data is obtained;

[0060] S3: Based on the communication abnormal record data, the communication optimization path is extracted, the signal transmission stability is analyzed, the interference area is screened, the frequency of the area signal is adjusted, the signal coverage range is analyzed, the high frequency use frequency band is screened, and the optimized communication index path is obtained;

[0061] S4: Based on the optimized communication index path, the communication operator identity information is detected according to the communication authority management database, the permission change record is extracted, the operator permission adjustment log is detected, the permission change frequency in a short time is screened, and the intelligent encryption communication security decision data set is obtained;

[0062] S5: Based on the intelligent encryption communication security decision data set, the communication use record is extracted, the communication use trend is analyzed, the use frequency change channel is screened, the communication use stability is analyzed, the communication parameter fluctuation area is screened, and the communication use trend analysis conclusion is obtained.

[0063] The encryption communication basic data includes signal frequency information, power intensity information, channel allocation information, interference risk information and synchronization state information, the communication abnormal record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme state and risk notification information, the optimized communication index path includes high frequency band index, optimization path scheme and frequency adjustment index, the intelligent encryption communication security decision data set includes operator identity record, permission matching record, communication behavior record and permission change frequency record, and the communication use trend analysis conclusion includes communication use trend, use frequency change data, communication parameter fluctuation area and communication use stability analysis.

[0064] Referring to Figure 2 The specific steps of S1 are:

[0065] S101: Based on the signal characteristic parameters of the marine communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, and stored in an encrypted information database to generate a communication data sequence;

[0066] Based on the signal characteristic parameters of the marine communication environment, in the communication scenario, the signal characteristic parameters of the ship communication equipment are collected in real time, for example, in the very high frequency (VHF) communication, the center frequency is 156.800MHz, the received power intensity is -75dBm, the channel allocation is the special channel 16 for marine mobile service, the environmental noise and spectrum usage are continuously monitored, and the channel interference risk is evaluated as 0.25, the interference risk score range is 0.0 to 1.0, wherein 0.0 represents no risk and 1.0 represents high risk. The collected signal characteristic parameters are used as raw data, each raw data is attached with a label, and the label contains a data type identifier, a collection timestamp, a source node identity and an encryption state, for example, the data is marked as type VHF_DATA, timestamp 10-13T10:00:05Z, source node ship_id_ABC, encryption state true, frequency 156.800, power -75, channel 16, interference risk 0.25. The labeled data is screened according to the preset redundancy determination rule, the redundancy determination rule is set as: within 50 milliseconds, two data sent by the same source node are completely consistent in channel, frequency, power intensity and payload content, the subsequent arrival data is determined as redundant data, and the deletion operation is performed, for example, 10:00:05.100 seconds receives the same signal data packet as 10:00:05.050 seconds, 10:00:05.100 seconds data packet is determined as redundant and removed. After the data is de-redundant, the non-redundant and labeled data is transmitted to the encrypted information database for storage, the database uses AES-256 algorithm to encrypt the data end to end, the confidentiality of the data is guaranteed during storage and transmission, finally, the encrypted data in the database is logically sorted and numbered according to the timestamp, each data is assigned a sequence number, and a communication data sequence is formed.

[0067] S102: Based on the communication data sequence, the current synchronization state parameters are extracted, the data transmission integrity is detected, and it is judged whether the synchronization is normal. If abnormal, the communication data is stored in the local and labeled with a storage label. If normal, it is uploaded to the global network configuration, the data upload record is updated after successful data upload, and the synchronization state is obtained.

[0068] The data packets in the communication data sequence are read one by one, and the data packets carry synchronization state parameters such as a timestamp, a sequence number, and a cyclic redundancy check (CRC) code. The current data packet sequence number S_current is compared with the expected sequence number S_expected, the data packet CRC check value CRC_received is extracted, and the data packet content CRC check value CRC_calculated is recalculated. The data transmission integrity detection standard is that when CRC_received and CRC_calculated are completely matched, the data transmission integrity is qualified, otherwise it is unqualified. The synchronization state normal judgment basis is that S_current is equal to S_expected and the data transmission integrity is qualified, then the synchronization state is determined to be normal. If S_current is less than S_expected, for example, S_expected is 105, and S_current is 103, two data packets of sequence number 104 are missing, or S_current is greater than S_expected, for example, S_current is 107, and S_expected is 105, unexpected data is received, or the CRC check is unqualified, the synchronization state is determined to be abnormal. For example, the sequence number 103 data packet is received, and CRC_received and CRC_calculated are not matched, the synchronization is determined to be abnormal. At this time, the abnormal data packet is stored in the local cache area together with the related metadata (for example, sequence number 103, error type CRC check failure), and a storage label "synchronization abnormality_to be supplemented" is attached. If the synchronization is determined to be normal, that is, S_current is 104 and the CRC check is passed, the data packet is uploaded to the global network configuration center. The global network configuration center is a distributed data storage and management platform, which is responsible for maintaining all node communication configurations and state information. After the data uploading is completed, a log is added in the local uploading record, recording the data packet uploading time, target address and uploading state. For example, the data packet ID is data_104, the uploading time is 10-13T10:00:10Z, and the state is successful. The record update enables the communication link state tracking and auditing. Through the above steps, the synchronization state of the current communication link is continuously maintained and provided externally.

[0069] S103: According to the synchronization state, it is detected whether there is a difference between the local cache data label and the global network configuration data. If there is, the data is supplemented and the storage identifier is updated. If not, the expired data is cleaned up, and the encrypted communication basic data is obtained.

[0070] The current communication link synchronization state acquisition is completed, for example, the processing result indicates that there is data marked as "synchronization exception_to be uploaded" in the local cache, the local cache data with the "to be uploaded" label is scanned and compared with the successfully uploaded and confirmed data list in the global network configuration, and the specific operation is that the data packet identifiers (such as data_id_103 and data_id_104) of all "to be uploaded" data in the local cache are extracted, the successfully stored data packet identifier list in the global network configuration is queried, for example, global_data_id_list includes data_id_100, data_id_101, data_id_102, and data_id_105, through set difference operation, for example, the local pending upload ID list local_pending_upload_ids includes 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 in the global network configuration list, there is a difference, if the difference is detected, for example, it is found that data_id_103 and data_id_104 are not confirmed in the global network configuration, the upload mechanism is immediately started, the complete data packet of data_id_103 and data_id_104 is re-encapsulated and sent to the global network configuration center, after the data upload is successful, the storage label of the corresponding data packet in the local cache is immediately updated, "synchronization exception_to be uploaded" is modified to "uploaded_global confirmation", and the storage identifier is updated to accurately record the data processing progress and state, if there is no difference between the local cache data label and the global network configuration data, that is, all local cache "to be uploaded" data has been confirmed in the global network configuration, the expired data cleaning process is triggered, the expired data cleaning rule is set as: the data marked as "uploaded_global confirmation" and the upload timestamp is more than 1 hour away from the current time is considered as expired data, the expired data is permanently deleted from the local cache, for example, if data_id_100 has been successfully uploaded and globally confirmed at 10:00:00Z, then after 11:00:00Z, data_id_100 will be cleaned, through this process, the encrypted communication basic data is obtained.

[0071] See Figure 3 , the specific steps of S2 are:

[0072] S201: Based on the encrypted communication basic data, the standard quality range of the communication link is extracted, the standard interval of signal frequency, power intensity, channel allocation and interference risk is identified, the out-of-limit parameters are screened, and the out-of-limit communication parameters are obtained;

[0073] Based on the current communication link operating parameters 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 156.805 MHz, power intensity -85 dBm, channel allocation is maritime mobile service channel 16, and interference risk score is 0.60. The preset communication link standard quality range is called, and the range is determined according to the International Maritime Organization (IMO) and the International Telecommunication Union (ITU) scheme and historical operation data experience value. Specific standard intervals are set for each parameter: the signal frequency standard interval is set to 156.800 MHz ± 5 kHz, i.e. [156.795 MHz, 156.805 MHz], and the frequency deviation is out of this range; the power intensity standard interval is set to -80 dBm to -60 dBm, i.e. [-80 dBm, -60 dBm], and the power is out of limit if it is lower than the lower limit of the interval or higher than the upper limit of the interval, the power intensity is lower than -90 dBm is determined as lower than the standard, and the power intensity is higher than -50 dBm is determined as higher than the standard; the channel allocation standard interval is set to a predefined set of legal available channels, for example, VHF channels 1 to 28, and the current channel is not in this set, which is a channel anomaly; the interference risk standard interval is set to 0.0 to 0.4, i.e. [0.0, 0.4], and the interference risk score higher than 0.4 is determined as high risk, wherein the risk score 0.0 to 0.2 is low risk, 0.2 to 0.4 is medium risk, 0.4 to 0.7 is high risk, and 0.7 to 1.0 is extremely high risk. The operating parameters are compared with the corresponding standard intervals one by one, for example, the actual signal frequency 156.805 MHz is compared with the standard interval [156.795 MHz, 156.805 MHz], which is at the upper limit, the actual power intensity -85 dBm is compared with the standard interval [-80 dBm, -60 dBm], which is lower than the lower limit of the standard interval, and the actual interference risk score 0.60 is compared with the standard interval [0.0, 0.4], which is higher than the upper limit of the standard interval. Through accurate numerical comparison, the parameters exceeding the standard interval are identified and collected to form the out-of-limit communication parameters.

[0074] S202: Based on the out-of-limit communication parameters, detect the out-of-limit category, generate frequency adjustment instructions and mark the adjustment priority if there is frequency deviation, generate power compensation instructions and mark the compensation level if there is power fluctuation, generate channel switching instructions and mark the switching order if there is channel conflict, record the execution state, and obtain the communication adjustment execution state.

[0075] Based on each parameter item traversal in the ultra-limit communication parameter set, for example, after receiving the ultra-limit communication parameter (frequency 156.805 MHz (actual), power -85 dBm (actual), interference risk 0.60 (actual)), the first parameter item is detected as frequency, and its standard interval is 156.800 MHz ± 5 kHz, i.e. [156.795 MHz, 156.805 MHz], the current actual frequency is 156.805 MHz, which is at the upper limit of the standard interval, and it is determined that the frequency is offset, at this time, the frequency adjustment instruction is generated, the target frequency is 156.800 MHz, and the adjustment priority is set according to the offset amplitude. The adjustment priority setting is based on: the frequency offset is greater than 10 kHz, the priority is set to high, the offset is between 5 kHz and 10 kHz, the priority is set to medium, and the offset is less than 5 kHz, the priority is set to low. In this example, the actual frequency is 156.805 MHz, the target center frequency is 156.800 MHz, the offset is 5 kHz, and the adjustment priority is marked as medium. Then, the second parameter item is detected as power intensity, and its standard interval is -80 dBm to -60 dBm. The current actual power is -85 dBm, which is 5 dBm lower than the lower limit of the standard interval, and it is determined that the power fluctuates. The power compensation instruction is generated, for example, the compensation adjustment is +5 dBm, and the compensation level is set according to the required power difference. The compensation level setting is based on: the required compensation power is greater than 15 dBm, the level is set to high, between 5 dBm and 15 dBm, the level is set to medium, and less than 5 dBm, the level is set to low. In this example, 5 dBm needs to be compensated, and the compensation level is marked as medium. Subsequently, the third parameter item is detected as interference risk, and the score is 0.60, which is higher than the high risk threshold 0.4, indicating that there is a conflict in the channel. The channel switching instruction is generated, for example, switching to channel 17, and the switching order is set according to the pre-device channel list. The switching order setting is based on: preferentially selecting channels with high idle rate and low historical interference risk, if channel 17 meets this condition, its switching order is set to 1, the generated instruction and corresponding priority, level or order are recorded, and the initial execution state is marked as "to be executed", so as to obtain the communication adjustment execution state.

[0076] S203: According to the communication adjustment execution state, it is detected whether the interference risk exists, if it exists, the risk data is recorded and the risk notification is pushed to the associated node, and the communication abnormality record data is obtained;

[0077] According to the communication adjustment execution state, for example, the frequency instruction priority is adjusted to medium, the compensation power instruction level is medium, the channel switching instruction sequence is 1, the state is to be executed, the initial interference risk is 0.60, and the part directly related to the interference risk is specially checked, that is, 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, it is determined that the interference risk exists, for example, the current initial interference risk is 0.60, which is greater than the threshold 0.4, and it is determined that the interference risk exists, at this time, all related communication abnormal data detailed records, the data includes the occurrence time, the geographical position (for example, north latitude 34.5 degrees, east longitude 125.7 degrees), the affected channel (for example, channel 16), the specific abnormal parameter detected (for example, power intensity-85dBm, interference risk 0.60), the communication adjustment instruction generated to cope with the risk (for example, channel switching instruction, switch to channel 17), generate risk event ID, for example, RISK_EVENT_20251013_001, the database adopts high availability architecture, and the risk data is persisted and quickly retrieved to ensure the risk data. At the same time, the risk notification pushing mechanism is started, including the risk event ID, the risk type (for example, high-intensity channel interference), the affected channel and the scheme coping measure (for example, the scheme switches to channel 17), the risk notification is pushed to the preset associated node through an independent low-bandwidth satellite communication link. The associated nodes include shipborne communication terminals of ships (for example, ship_id_DEF and ship_id_GHI) in the same sea area and shore-based network management centers (for example, shore_station_001). All related parties receive the risk warning in real time, and the notification prompts the associated node to take preventive measures or adjust its communication strategy in advance. Through rigorous processes, communication abnormal record data is generated and stored.

[0078] Please refer to Figure 4 , the specific steps of S3 are:

[0079] S301: Based on the communication abnormal record data, extract the communication optimization path, count the parameter changes of the signal transmission area, identify the parameter time change range, compare the interference threshold and screen the interference area, and obtain the interference area parameter set;

[0080] Based on the communication anomaly record data, the detailed log of historical communication anomaly events is obtained, for example, in the past 24 hours, in the sea area with latitude 34 degrees to 35 degrees north and longitude 125 degrees to 126 degrees east, all channel 16 power intensity is lower than -80dBm or interference risk is higher than 0.4, the abnormal record contains time stamp, latitude and longitude, abnormal type, abnormal value and other information, this historical anomaly data set is used as the basis for exploring the communication optimization path, then, the signal transmission area parameter change statistics is carried out, the operation is that every hour is the time window, 10 kilometers is the space grid, the abnormal record aggregation analysis in the above sea area is carried out, for example, in a certain 10km x 10km grid (center point latitude 34.5 degrees north, longitude 125.5 degrees east), the average power intensity of channel 16 in the past one hour is -88dBm, the average interference risk is 0.75, and the average frequency offset is 8kHz, then, the parameter time change range identification is carried out, for each grid area and each parameter (such as power intensity, interference risk, frequency offset), the maximum value, minimum value and duration in the past 24 hours are analyzed, for example, in the above grid, the interference risk of channel 16 once reached 0.90 during 10:00:00Z to 10:30:00Z, and lasted for 30 minutes, and dropped to 0.50 during 10:30:00Z to 11:00:00Z, the interference threshold is set to 0.45, which is determined according to the relevance analysis of historical communication interruption events, which means that the communication quality starts to decline when the value is higher than this value, the average interference risk of each grid area is compared with the interference threshold, for example, the average interference risk of a certain grid is 0.75, which is greater than 0.45, so the grid is screened as an interference area, after screening, 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 an interference area parameter set.

[0081] S302: Based on the interference area parameter set, the communication index path of the corresponding area is extracted, the signal state is analyzed, the signal strength and coverage range are identified, the signal distribution frequency is counted, the communication index order is adjusted, the channel structure is optimized, and the high frequency band index adjustment result is obtained.

[0082] Based on the interference area parameter set, each interference area and its related parameter information are obtained, for example, it is identified that the 10-kilometer grid centered at 34.5 degrees north latitude and 125.5 degrees east longitude is an interference area, and the parameter display channel 16 interference risk is 0.75. For this interference area, all available communication channels are extracted as communication index paths, for example, VHF communication, the available paths include channels 16, 17, 18, 19, 68, and 69. Then, the signal state of each channel on the communication index path is analyzed: signal strength identification, query historical received signal strength indication (RSSI) data, signal-to-noise ratio (SNR), and bit error rate (BER) of each channel in the area, signal coverage identification, according to historical geographic location data and signal propagation model, evaluate the reliable communication coverage radius of each channel in the interference area, for example, channel 16 reliable coverage radius 5 kilometers, channel 17 reliable coverage radius 15 kilometers. Then signal distribution frequency statistics, calculate the number of times used, the number of times successfully communicated and the number of times switched due to abnormalities in the area in the past 24 hours for each channel, for example, channel 16 usage frequency 100 times, success rate 60%, switching times 40 times; channel 17 usage frequency 20 times, success rate 95%, switching times 1 time. Communication index order adjustment, calculate the comprehensive score C_score=(SNR_normalized×0.4)+(Coverage_normalized×0.3)+((1-BER)×0.2)+((Successful_usage_rate)×0.1) for each channel, all parameters are normalized to 0 to 1. For example, the SNR, coverage, BER, and success rate of channel 17 are better than those of channel 16, and the C_score of channel 17 is higher than that of channel 16. According to the C_score from high to low, the channels are sorted to form an optimized communication index order. Finally, the channel structure is optimized according to the adjusted communication index order, the top-ranked channels are preferentially recommended to communication requests, and the network resource allocation strategy is dynamically adjusted, high-priority channels obtain stable resources, for example, channel 17 is preferentially allocated to new communication requests, and channel 16 is limited for use, to obtain a high-frequency band index adjustment result.

[0083] S303: Based on the high-frequency band index adjustment result, analyze the optimized communication path, identify the signal coverage range distribution, compare the coverage range change before and after optimization, calculate the optimization ratio, and obtain the optimized communication index path.

[0084] Based on the high-frequency band index adjustment results, including reordering and optimizing the communication channels and associated performance parameters, for example, through the previous stage adjustment, channel 17 is assigned a high priority, and the expected signal strength, coverage range, and reliability are better than channel 16. The optimized communication path analysis is then performed, using network simulation or prediction models, based on the new channel index order and improved performance parameters, to evaluate the routing efficiency, success rate, and delay of future communication requests on this path. For example, simulation shows that with the new channel priority, the expected communication success rate is expected to increase to 98%, and the average delay is reduced by 20%. Subsequently, signal coverage range distribution identification, according to the optimized channel structure and improved performance of each channel, recalculates or estimates the actual coverage range of each channel in geographical space, and the total coverage area of the communication network is obtained. For example, before optimization, the total reliable coverage area of channel 16 and channel 17 is 500 square kilometers, and after interference reduction and priority adjustment, the coverage range of channel 17 is expanded and more effectively utilized, so that the total reliable coverage area of channel 16 and channel 17 reaches 650 square kilometers. Then, the coverage range change amount before and after optimization is compared, and the total coverage area before optimization is compared with the total coverage area after optimization, and the net increase of coverage range is calculated. For example, the total coverage area before optimization Coverage_Before = 500 square kilometers, the total coverage area after optimization Coverage_After = 650 square kilometers, the change amount Change_Amount = 150 square kilometers. Optimization ratio statistics, the ratio represents the percentage of coverage range improvement relative to before optimization, the calculation formula is: Optimization_Ratio = (Change_Amount / Coverage_Before) x 100%. For example, Optimization_Ratio = (150 / 500) x 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 the expected performance improvement and coverage expansion data.

[0085] Please refer to Figure 5 The specific steps of S4 are:

[0086] S401: Based on the optimized communication index path, extract the operator identity information of the communication request, detect the operator permission level, compare with the communication permission benchmark value, and select the operators that meet the permission level to obtain the list of operators that meet the permission level;

[0087] The operator that meets the permission level refers to the determination of the corresponding security permission level by extracting the operator identity information and comparing it with the permission benchmark value;

[0088] When initiating a communication request based on the optimized communication index path, the request carries the operator identity information interception, for example, including the user ID captain_shipA_001, the device ID VHF_TX_001, the role captain, the authentication token XYZ123, calling the identity authentication and permission management module, querying the operator permission level according to the user ID or authentication token, the permission level is set to an integer value of 1 to 5, 1 is low permission, and 5 is high permission. For example, captain_shipA_001 has a permission level of 4. At the same time, the communication permission benchmark value is defined, which is preset according to the communication path sensitivity and data importance, for example, the emergency call VHF channel 16, the benchmark value is 3; the general data transmission channel, the benchmark value is 1, the setting of the communication permission benchmark value is based on the International Regulations for Preventing Collisions at Sea and the internal safety agreement of the ship company, which clearly stipulates the required operator permission of different communication types. The operator permission level is compared with the precise value of the communication permission benchmark value, and the judgment rule is: if the operator permission level is greater than or equal to the communication permission benchmark value, the operator meets the permission. For example, the operator permission level is 4, the communication permission benchmark value is 3, then 4≥3, it is judged to be in conformity, if the operator permission level is 2, the communication permission benchmark value is 3, then 2<3, it is judged to be not in conformity. According to the comparison result, all the operators who initiate the communication request are screened out to meet the condition of "operator permission level greater than or equal to communication permission benchmark value", the identity information is collected to form a list of operators who meet the permission.

[0089] S402: Based on the list of operators who meet the permission, record the communication log, count the communication time, channel type and operator identification, associate the communication path, analyze the communication behavior of the same operator at different time points, extract the communication frequency and change trend, identify the short-time high-frequency operation and extract the abnormal behavior characteristics, and obtain the communication log behavior sequence;

[0090] Abnormal behavior characteristics refer to identifying short-time high-frequency or abnormal operation mode by analyzing the communication frequency and change trend of the operator at different time points, and extracting the characteristics;

[0091] Communication log behavior sequence refers to recording the communication time, channel type, operator identification log information, and processing in time sequence to form an analyzable behavior sequence;

[0092] Based on the list of operators with permissions, when the list operator initiates communication, the detailed communication log is recorded in real time, for example, the log entry contains log ID LOG_A1, timestamp 10-13T10:15:20Z, channel type VHF_16, operator identification captain_shipA_001, communication path ID Path_VHF_Optimized, data volume 50KB, and then the log aggregation statistics, the communication behavior of each operator at different time points is accurately recorded, for example, for captain_shipA_001, statistics show that three communications were made through the VHF_16 channel at 10:15:20Z, 10:16:05Z and 10:16:45Z. Each communication log is accurately associated with the optimized communication index path, and the communication session routing details are fully tracked. Then, the communication behavior of the same operator at different time points is analyzed, for example, the communication log of captain_shipA_001 in the 5-minute time window from 10:15:00Z to 10:20:00Z is analyzed, and the communication frequency and change trend are extracted. Specifically, in the 5-minute window, the communication frequency of captain_shipA_001 is calculated as 3 times, and compared with the historical average communication frequency (1 time per 5 minutes on average), the communication frequency is increased. The short-time high-frequency operation judgment threshold high_frequency_threshold is set to more than 2 times in 5 minutes, and this threshold is based on long-term monitoring data analysis of the normal communication mode of the crew. The current communication frequency of 3 times is compared with the high_frequency_threshold of 2 times, and it is determined that captain_shipA_001 performs short-time high-frequency operation in the time period from 10:15:00Z to 10:20:00Z. Then the abnormal behavior features are extracted, for example, the feature type short-time high-frequency, operator ID captain_shipA_001, time window 5 minutes, actual frequency 3, threshold frequency 2, and abnormal feature description are generated. All log data, statistical results and abnormal feature sequences are processed, and a communication log behavior sequence sorted by timestamp is formed.

[0093] S403: Based on the communication log behavior sequence, extract the permission change record, detect the operator permission adjustment log, count the number of permission changes in a short time, filter the operator identity information of continuous permission changes, and obtain the intelligent encrypted communication security judgment data set;

[0094] Based on the communication log behavior sequence, the sequence records the operator communication behavior and potential abnormal characteristics, all permission change records are extracted, for example, the permission change record is event IDPerm_Change_001, timestamp 10-13T09:45:00Z, management IDsys_admin_001, target operator IDcaptain_shipA_001, old permission 3, new permission 4, and then the relevant operator permission adjustment log is detected for the operator ID involved in the communication log behavior sequence, for example, it is found that the captain_shipA_001 permission is adjusted 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 of each operator ID in this window is counted. For example, during 10:00:00Z to 11:00:00Z, captain_shipA_001 only has one permission change, and operator_id_X has 2 permission changes (from level 2 to level 3, and then from level 3 to level 2). The continuous change permission screening threshold continuous_change_threshold is set to 2 times, and this threshold is based on the analysis of the frequency of permission changes in the normal operation process. If the number of permission changes of a single operator in a short period of time exceeds 2 times, it is considered abnormal. The number of permission changes of each operator ID is compared with the continuous_change_threshold, for example, if the number of permission changes of captain_shipA_001 is 1, which does not reach the threshold of 2 times, it is not screened, and if the number of permission changes of operator_id_X is 2, then operator_id_X is screened as a continuous change permission operator. Finally, the identity information of all screened continuous change permission operators is integrated with the abnormal behavior characteristics in the communication log behavior sequence and the related security event information to build an intelligent encrypted communication security decision dataset.

[0095] Please refer to Figure 6 , the specific steps of S5 are:

[0096] S501: Based on the intelligent encrypted communication security decision dataset, extract the communication operation records between nodes, count the operation frequency and time interval of both ends of the communication, identify the frequency ratio and interval offset, and screen the channels whose frequency difference exceeds the offset threshold to obtain the communication usage frequency offset item;

[0097] Based on the intelligent encryption communication security judgment data set, the data set contains communication log behavior sequence, permission change record and identified abnormal behavior characteristics, all node-to-node communication operation records in the data set are extracted one by one, the records include communication source node ID, target node ID, communication timestamp, used channel and data volume. For example, the record shows that node_A (source node) and node_B (target node) communicate through channel 16 at 10:30:10Z. Then for each pair of communication nodes, the operation frequency and time interval of both ends of the communication are counted. The specific operation is as follows: in a preset analysis time window (for example, the past 1 hour), the total number of communications from node_A to node_B is calculated Freq_A_to_B (for example, 5 times), and the total number of communications from node_B to node_A is calculated Freq_B_to_A (for example, 2 times). At the same time, the time interval of each communication between node_A and node_B is calculated (for example, 5 seconds, 10 seconds, 8 seconds, 12 seconds, 7 seconds), and the average value Avg_Interval_A_to_B (for example, 8.4 seconds) is calculated, and similarly Avg_Interval_B_to_A (for example, 15 seconds, 20 seconds, average 17.5 seconds) is calculated. Then identify the frequency ratio and interval offset, the frequency ratio Frequency_Ratio=2.5, the interval offset Interval_Offset=9.1s. The frequency offset threshold is set: the threshold Ratio_Threshold for the frequency ratio is 2.0 (the normal ratio should be between 0.5 and 2.0), and the threshold Interval_Threshold for the interval offset is 5 seconds. The threshold is set based on the statistical analysis of the normal node-to-node communication mode and expert experience. The calculated frequency ratio 2.5 is compared with the Ratio_Threshold 2.0, and it is found that 2.5>2.0; the interval offset 9.1 seconds is compared with the Interval_Threshold 5 seconds, and it is found that 9.1 seconds>5 seconds. All channels whose Frequency_Ratio or Interval_Offset exceeds the corresponding threshold are screened out, for example, channel 16 is screened out because the frequency ratio and interval offset both exceed the limit, and the screened channels and related offset data are collected to obtain the communication usage frequency offset item.

[0098] S502: According to the communication usage frequency offset item, the operation parameters of the corresponding channel between nodes are extracted, the parameter difference value is calculated and compared with the communication operation difference reference value, the node area with parameter fluctuation in the continuous period is screened out, and the communication usage trend analysis conclusion is obtained.

[0099] According to the communication frequency offset item, it is indicated that there is a communication frequency or time interval offset between the node pair, for example, the channel 16 is identified as having an offset between node_A and node_B, and then the operating parameters of the channel between node_A and node_B are extracted, including average delay, packet loss rate, signal jitter, bandwidth utilization, etc., for example, from the perspective of node_A, the average delay of channel 16 is 150 ms, the packet loss rate is 2%, and the signal jitter is 20 ms; from the perspective of node_B, the average delay of channel 16 is 160 ms, the packet loss rate is 3%, and the signal jitter is 25 ms. Then the parameter difference value is calculated, for each operating parameter, the absolute difference value between node_A and node_B is calculated, for example, the delay difference value Latency_Diff=10ms, the packet loss rate difference value Packet_Loss_Diff=1%, and the signal jitter difference value Jitter_Diff=5ms. A preset communication operation difference baseline value is defined, and a parameter difference tolerance range is defined according to the communication protocol standard and network performance index. For example, the delay difference baseline value Latency_Baseline=5ms, the packet loss rate difference baseline value Packet_Loss_Baseline=0.5%, and the signal jitter difference baseline value Jitter_Baseline=3ms. The calculated each parameter difference value is compared with the corresponding communication operation difference baseline value. For example, Latency_Diff 10ms is greater than Latency_Baseline 5ms, Packet_Loss_Diff 1% is greater than Packet_Loss_Baseline 0.5%, and Jitter_Diff 5ms is greater than Jitter_Baseline 3ms. The continuous period is set to 10 minutes, and whether the parameter difference exceeds the baseline value is continuously monitored within this period. All node regions whose parameter difference values continuously or frequently exceed the communication operation difference baseline value within the continuous period are screened out. For example, if the delay difference value between node_A and node_B exceeds the 5ms baseline value for 5 consecutive times in the past 10 minutes, and node_A and node_B belong to the "North Pacific Region", then the "North Pacific Region" is screened out. The screened node region and the corresponding parameter fluctuation analysis result are integrated to form a communication usage trend analysis conclusion.

[0100] Please refer to Figure 7 An intelligent digital encryption radio encryption system, comprising:

[0101] A communication integration module is used to collect signal frequency, power intensity, channel allocation, and interference risk based on signal characteristic parameters of a maritime communication environment, store them to an encryption information database, and if data synchronization is interrupted, cache them to a local storage to obtain encrypted communication basic data;

[0102] The communication adjustment module is configured to filter parameters beyond the standard range based on the encrypted communication basic data, generate frequency adjustment instructions, compensate for power fluctuations, switch channel conflicts, record risk data and notify associated nodes, and obtain communication anomaly record data.

[0103] The communication optimization module is configured to call a communication optimization path based on the communication anomaly record data, analyze signal transmission stability, filter interference areas, adjust signal coverage strategies in the interference areas, compare high-frequency use channels and interference areas, filter abnormal indexes in the communication optimization path, adjust communication index structures, and obtain an optimized communication index path.

[0104] The permission management module is configured to filter communication request operator identity information based on the optimized communication index path, match permission levels, record communication logs, analyze permission change records, filter the number of permission changes in a short period of time, and obtain intelligent encrypted communication security decision data sets.

[0105] The communication analysis module is configured to filter use frequency change channels based on the intelligent encrypted communication security decision data sets, combine communication security management needs, filter high-frequency use channels in the communication parameter fluctuation area, adjust communication optimization path planning, and obtain communication use trend analysis conclusions.

[0106] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for encrypting an intelligent digital encryption radio, characterized in that, The method comprises the following steps: S1: based on the signal characteristic parameters of the marine communication environment, a dynamic routing table of the wireless ad hoc network is established, the communication node information is stored in the encrypted information database, and is synchronously updated to the global network configuration, the synchronization state is detected, and the encrypted communication basic data is obtained; S2: based on the encrypted communication basic data, the communication link quality index is extracted, the interference channel area is screened, the frequency offset generates the frequency modulation instruction, the power fluctuation generates the power compensation instruction, the multiple path interference exists, and the associated node is recorded and notified, and the communication abnormal record data is obtained; S3: based on the communication abnormal record data, the communication optimization path is extracted, the signal transmission stability is analyzed, the interference area is screened, the frequency of the area signal is adjusted, the signal coverage range is analyzed, the high-frequency frequency band is screened, and the optimized communication index path is obtained; S4: based on the optimized communication index path, the communication operator identity information is detected according to the communication authority management database, the authority change record is extracted, the operator authority adjustment log is detected, the number of authority changes in a short time is screened, and the intelligent encrypted communication security decision data set is obtained.

2. The intelligent digital encryption radio encryption method of claim 1, wherein, The encrypted communication basic data includes signal frequency information, power intensity information, channel allocation information, interference risk information and synchronization state information, the communication abnormal record data includes frequency offset information, power fluctuation information, channel conflict information, interference risk information, adjustment scheme state and risk notification information, the optimized communication index path includes high-frequency frequency band index, optimization path scheme and frequency adjustment index, and the intelligent encrypted communication security decision data set includes operator identity record, authority matching record, communication behavior record and authority change number record.

3. The intelligent digital encryption radio encryption method of claim 1, wherein, The specific steps of S1 are: S101: based on the signal characteristic parameters of the marine communication environment, including signal frequency, power intensity, channel allocation and interference risk information, the data is labeled, redundant data is removed, stored in the encrypted information database, and the communication data sequence is generated; S102: based on the communication data sequence, the current synchronization state parameter is extracted, the data transmission integrity is detected, whether the synchronization is normal is judged, if abnormal, the communication data is stored to the local, and the storage label is labeled, if normal, it is uploaded to the global network configuration, the data uploading is successful, the uploading record is updated, and the synchronization state is obtained; S103: according to the synchronization state, whether the local cache data label is different from the global network configuration data is detected, if yes, it is supplemented and the storage mark is updated, if no, the expired data is cleaned, and the encrypted communication basic data is obtained.

4. The method of claim 3, wherein, The specific steps of S2 are: S201: based on the encrypted communication basic data, the standard quality range of the communication link is extracted, the standard interval of signal frequency, power intensity, channel allocation and interference risk is identified, the out-of-limit parameter is screened, and the out-of-limit communication parameter is obtained; S202: based on the out-of-limit communication parameter, the out-of-limit category is detected, if frequency offset, the frequency modulation instruction is generated and the adjustment priority is labeled, if power fluctuation, the power compensation instruction is generated and the compensation level is labeled, if channel conflict, the channel switching instruction is generated and the switching sequence is labeled, the execution state is recorded, and the communication adjustment execution state is obtained; S203: According to the communication adjustment execution state, detect whether there is an interference risk, if there is, record risk data and push risk notification to associated nodes, get communication exception record data.

5. The intelligent digital encryption radio encryption method of claim 4, wherein, The specific steps of S3 are: S301: Based on the communication exception record data, extract the communication optimization path, count the parameter changes of the signal transmission area, identify the parameter time change range, compare the interference threshold and filter the interference area, and get 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 state, identify the signal strength and coverage range, count the signal distribution frequency, adjust the communication index order, optimize the channel structure, and get the high frequency band index adjustment result; S303: Based on the high frequency band index adjustment result, analyze the optimized communication path, identify the signal coverage range distribution, compare the coverage range change before and after optimization, count the optimization ratio, and get the optimized communication index path.

6. The intelligent digital encryption radio encryption method of claim 5, wherein, The specific steps of S4 are: S401: Based on the optimized communication index path, extract the communication request operator identity information, detect the operator permission level, compare the communication permission benchmark value, filter the operators meeting the permission level, and get the operator list meeting the permission; S402: Based on the operator list meeting the permission, record the communication log, count the communication time, channel type and operator identification, associate the communication path, analyze the communication behavior of the same operator at different time points, extract the communication frequency and change trend, identify the short-time high-frequency operation and extract the abnormal behavior characteristics, and get the communication log behavior sequence; S403: Based on the communication log behavior sequence, extract the permission change record, detect the operator permission adjustment log, count the number of permission changes in a short period of time, filter the operator identity information of continuous permission change, and get the intelligent encryption communication security decision data set.

7. The intelligent digital encryption radio encryption method of claim 6, wherein, The operator meeting the permission level refers to determining the corresponding security permission level by extracting the operator identity information and comparing it with the permission benchmark value; The abnormal behavior characteristics refer to identifying short-time high-frequency or abnormal operation mode by analyzing the communication frequency and change trend of the operator at different time points, and extracting the characteristics; The communication log behavior sequence refers to recording the communication time, channel type, operator identification log information, and processing it in time sequence to form an analyzable behavior sequence.

8. The intelligent digital encryption radio encryption method of claim 1, wherein, Further comprising the following steps: S5: Based on the intelligent encryption communication security decision data set, extract the communication usage record, analyze the communication usage trend, filter the frequency change channel, analyze the communication usage stability, filter the communication parameter fluctuation area, and get the communication usage trend analysis conclusion; The communication usage trend analysis conclusion includes communication usage trend, usage frequency change data, communication parameter fluctuation area, and communication usage stability analysis.

9. The intelligent digital encryption radio encryption method of claim 8, wherein, The specific steps of S5 are: S501: Based on the intelligent encryption communication security decision dataset, extract the communication operation record between nodes, count the operation frequency and time interval of both ends of communication, identify the frequency ratio and interval offset, filter the channels with frequency difference exceeding the offset threshold, and obtain the communication usage frequency offset item; S502: According to the communication usage frequency offset item, extract the operation parameters of the corresponding channel between nodes, calculate the parameter difference value and compare it with the communication operation difference reference value, filter the node area with parameter fluctuation in continuous period, and obtain the communication usage trend analysis conclusion.

10. A smart digital encryption radio encryption system for implementing a smart digital encryption radio encryption method as claimed in claim 8, characterized in that, Including: Communication integration module, for collecting signal frequency, power intensity, channel allocation and interference risk based on signal characteristic parameters of marine communication environment, storing to encryption information database, if data synchronization is interrupted, buffering to local storage, obtaining encryption communication basic data; Communication adjustment module, for filtering parameters exceeding the standard range based on the encryption communication basic data, generating frequency adjustment instructions, compensating power fluctuation, switching channel conflict, recording risk data and notifying associated nodes, obtaining communication abnormal record data; Communication optimization module, for calling communication optimization path based on the communication abnormal record data, analyzing signal transmission stability, filtering interference area, adjusting signal coverage strategy of interference area, comparing high frequency use channel and interference area, filtering abnormal index in communication optimization path, adjusting communication index structure, obtaining optimized communication index path; Authority management module, for filtering communication request operator identity information based on the optimized communication index path, matching authority level, recording communication log, analyzing authority change record, filtering the number of authority changes in a short time, obtaining intelligent encryption communication security decision dataset; Communication analysis module, for filtering frequency change channels based on the intelligent encryption communication security decision dataset, combining communication security management requirements, filtering high frequency use channels in communication parameter fluctuation area, adjusting communication optimization path planning, and obtaining communication usage trend analysis conclusion.

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