Distributed power supply communication gateway resource scheduling method and system based on dual-mode communication

Abstract

The invention provides a distributed power supply communication gateway resource scheduling method and system based on dual-mode communication, and relates to the technical field of carrier wireless dual-mode communication, and the system comprises a time division module, a node evaluation module, a channel real-time monitoring module, a channel strategy making module, an efficiency monitoring module and a security analysis module. According to the invention, the output of the distributed power supply is monitored in real time and the access parameters are automatically adjusted to match the power grid demand, so that the efficiency and reliability of energy management are remarkably improved, the data loss is reduced, the communication security is enhanced, the nodes of carrier wireless dual-mode communication are identified, and the time distribution of the nodes in communication is verified; according to the method, the communication network can flexibly cope with load changes, load management of the network is optimized, resource waste or congestion caused by fixed time allocation is reduced, encryption keys are dynamically updated, abnormal data modes are identified, and data safety and tamper-proof capacity are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carrier wireless dual-mode communication, and in particular to a distributed power supply communication gateway resource scheduling method and system based on dual-mode communication. Background Art

[0002] Although existing carrier communication technology is widely used in fields such as smart grid and home automation, it still has shortcomings in adaptability and resource allocation efficiency in dynamic environments. The inherent reliance of carrier communication technology on static configuration leads to uneven resource allocation in environments with large dynamic load changes, affecting the communication efficiency and reliability of the overall network.

[0003] At the same time, the processing of data security in the existing technology relies on traditional static encryption methods, which are not enough to provide the necessary security in the face of rapidly changing network threats. For example, without real-time monitoring and dynamic adjustment mechanisms, once channel interference or illegal access occurs, the system cannot detect and respond in time, resulting in data leakage or service interruption. At the same time, insufficient monitoring of node activities makes it impossible for the system to effectively identify and prioritize critical or urgent communication needs, further affecting the system's emergency response capabilities and service quality, and in actual operation leading to reduced grid efficiency, delayed response, and even security vulnerabilities. Summary of the invention

[0004] In order to solve the above problems, the present invention proposes a distributed power communication gateway resource scheduling method and system based on dual-mode communication. The method optimizes time allocation and channel status through intelligent scheduling of dual-mode communication resources, improves data transmission efficiency and security, and strengthens encryption and access permission monitoring to ensure efficient and stable communication of distributed power access units.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a distributed power supply communication gateway resource scheduling method based on dual-mode communication, comprising: Acquire the communication node, verify the time allocation of the node in the carrier wireless dual-mode communication, and generate a time schedule according to the load dynamics of the real-time carrier communication; the time schedule includes the node's allocation time, time priority and communication authority; According to the time schedule, obtain the node activity frequency list and node data urgency analysis results to generate node criticality rating; Based on the node criticality rating and real-time dual-mode communication network status parameters, the Bayesian network model is updated to evaluate the channel status of the real-time distributed power access unit; Based on the channel status, the signal frequency and power of the dual-mode communication are adjusted to generate channel adjustment instructions that meet the node communication requirements; Adjust the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitor and obtain the data transmission efficiency analysis result of the distributed power access unit; Based on the data transmission efficiency analysis results, the real-time encryption protocols and access rights of the dual-mode communication network are detected, abnormal data patterns are identified, and communication security logs are generated.

[0006] Preferably, the communication nodes include base stations, relay stations and terminal user equipment responsible for data transmission and reception in a carrier wireless dual-mode communication network.

[0007] Preferably, the acquisition of the communication node and the verification node's time allocation in the carrier wireless dual-mode communication generates a time schedule according to the load dynamics of the real-time carrier communication, specifically including: Obtain node features based on the real-time communication data of the node, where the node features are used to characterize the duration of the node transmitting data; classify the communication modes of the nodes based on the historical node activity, and construct a node feature graph under each type of communication mode based on the node features; According to the node feature graph, verify whether the key nodes with high transmission priority are assigned priority time; if not, adjust the node features of the key nodes and obtain the time rationality evaluation result based on the node feature graph; Based on the load dynamics and time rationality evaluation results of real-time carrier communication, the time allocation of distributed power access units to key nodes is adjusted to generate a time schedule; the time schedule includes the node allocation time, time priority and communication authority.

[0008] Preferably, the obtaining of a node activity frequency list and a node data urgency analysis result according to a time schedule to generate a node criticality rating specifically includes: Based on the time schedule, obtain the data transmission times and periodic data flow patterns of the nodes, and generate a list of node activity frequencies; According to the node activity frequency list, the communication frequency and communication data type of the node in the dual-mode communication are obtained, and the node data urgency analysis result is generated; According to the data urgency analysis results, the nodes in the dual-mode communication are classified to generate a node criticality rating; the node criticality rating includes a node communication frequency rating and a data urgency rating.

[0009] Preferably, the updating of the Bayesian network model according to the node criticality rating and the real-time dual-mode communication network status parameters to evaluate the channel status of the real-time distributed power access unit specifically includes: Based on the node criticality rating, monitor the channel usage of key nodes in carrier wireless dual-mode communication, analyze channel occupancy and frequency band interference data, identify the communication characteristics of priority nodes, and generate channel status analysis results; The node criticality rating and the real-time dual-mode communication network state parameters are used as input nodes of the Bayesian network model to construct the Bayesian network model; Dynamically adjust and update the parameters of the Bayesian network model based on real-time data, specifically by updating the probability values ​​in the conditional probability table to reflect the impact of new observation data on the network status; Through the channel state analysis results, combined with the updated Bayesian network model, the real-time dual-mode communication network state parameters are analyzed, the signal strength, transmission rate and delay of the distributed power access unit are adjusted, the carrier wireless dual-mode communication load and traffic distribution are analyzed, and the network performance indicators are generated; Based on the network performance indicators, the updated Bayesian network model is used for inference to evaluate the stability and transmission efficiency of the channel. Combined with the channel interference and the carrier wireless dual-mode communication load, the channel status of the real-time distributed power access unit is evaluated; the channel status includes the channel stability score, channel interference factor identification and channel capacity status.

[0010] Preferably, adjusting the signal frequency and power of the dual-mode communication based on the channel state to generate a channel adjustment instruction that meets the node communication requirements specifically includes: Based on the channel status, analyzing the channel frequency usage in the real-time carrier wireless dual-mode communication, identifying the interfered frequency band, adjusting the signal frequency according to the channel status, and generating a frequency adjustment plan; Utilizing the frequency adjustment plan, calculating the signal power adjustment amount of the carrier wireless dual-mode communication, referring to the influence of differentiated node and channel conditions on the power demand of the distributed power access unit, adjusting the transmission power to verify the signal quality, and generating the power adjustment parameter; Through the power adjustment parameters, a channel adjustment strategy for the distributed power access unit is formulated, and by presetting the target frequency and power, the optimal performance of the channel under real-time changing conditions is verified, and a channel adjustment instruction is generated; the channel adjustment instruction includes a frequency adjustment range, power adjustment parameters and a signal modulation strategy.

[0011] Preferably, adjusting the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitoring and obtaining the data transmission efficiency analysis result of the distributed power supply access unit, specifically includes: Based on the channel adjustment instructions, real-time monitoring of the data transmission rate and delay of the carrier wireless dual-mode communication, recording the data response time of key nodes, and generating real-time efficiency tracking records; Comparing the real-time efficiency tracking records with historical data transmission records, evaluating changes in data transmission rate and response time before and after channel adjustment, identifying key influencing factors, and generating efficiency change comparison analysis results; Through the efficiency change comparison analysis results, the overall data transmission efficiency of the carrier wireless dual-mode communication is evaluated, the efficiency optimization degree of differentiated nodes and channels in the distributed power access unit is analyzed, and the data transmission efficiency analysis results are generated; the data transmission efficiency analysis results include transmission rate changes, data packet loss rate and transmission delay.

[0012] Preferably, the step of detecting the real-time encryption protocol and access rights of the dual-mode communication network according to the data transmission efficiency analysis result, identifying abnormal data patterns, and generating a communication security log specifically includes: Based on the data transmission efficiency analysis results, the efficiency and security test of the real-time encryption protocol is performed, and the encryption protocol effect evaluation result is generated by comparing the preset security standard and the real-time carrier wireless dual-mode communication data; Using the encryption protocol effect evaluation results, review the carrier wireless dual-mode communication access rights, analyze the rationality and implementation effect of user authority configuration, and generate authority review results through access log and access mode analysis; Based on the results of the permission review, a decision tree algorithm is used to monitor and analyze data flows and access behaviors in carrier wireless dual-mode communications, identify behaviors that deviate from normal patterns, evaluate potential security threat levels, and generate communication security logs; the communication security logs include the effectiveness of encryption protocols, the effectiveness of access rights implementation, key update records, and abnormal activity detection results.

[0013] Preferably, the formula of the decision tree algorithm is as follows:

[0014] in, The target dataset Adjusted information entropy, For behavior in the data set The probability of is the scaling factor of information entropy, is the probability weighting factor, is the probability adjustment factor, is the probability shift factor.

[0015] In a second aspect, the present invention provides a distributed power supply communication gateway resource scheduling system based on dual-mode communication, comprising: The time division module is used to obtain the communication node, verify the time allocation of the node in the carrier wireless dual-mode communication, and generate a time schedule according to the load dynamics of the real-time carrier communication; the time schedule includes the node's allocation time, time priority and communication authority; The node evaluation module is used to obtain the node activity frequency list and the node data urgency analysis results according to the time schedule, and generate the node criticality rating; The channel real-time monitoring module is used to update the Bayesian network model and evaluate the channel status of the real-time distributed power access unit according to the node criticality rating and the real-time dual-mode communication network status parameters; A channel strategy formulation module is used to adjust the signal frequency and power of dual-mode communication based on the channel status and generate channel adjustment instructions that meet the node communication requirements; An efficiency monitoring module, used to adjust the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitor and obtain the data transmission efficiency analysis result of the distributed power access unit; The security analysis module is used to detect the real-time encryption protocols and access rights of the dual-mode communication network based on the data transmission efficiency analysis results, identify abnormal data patterns, and generate communication security logs.

[0016] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a distributed power supply communication gateway resource scheduling method based on dual-mode communication as described in the first aspect.

[0017] In a fourth aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in a distributed power supply communication gateway resource scheduling method based on dual-mode communication as described in the first aspect are implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The present invention significantly improves the efficiency and reliability of energy management by real-time monitoring of the output of distributed power sources and automatically adjusting access parameters to match grid demand, while reducing data loss and enhancing the security of communication. Identifying nodes of carrier wireless dual-mode communication and verifying the time allocation of nodes in communication enables the communication network to flexibly respond to load changes, optimize network load management, and reduce resource waste or congestion caused by fixed time allocation. By evaluating the activity frequency and data urgency of nodes, the rating of node criticality further ensures that key data can be transmitted first when necessary, increasing the system's ability to respond to emergencies. Real-time monitoring of channel status and adjustment of signal frequency and power make communication more stable, reduce communication interruptions or data errors caused by channel fluctuations, and are particularly critical for maintaining stable energy output. By monitoring data transmission efficiency and comparing it with historical data, the cause of inefficiency can be quickly identified, adjusted in time, and the system can be ensured to operate in the best state. At the same time, encryption keys can be dynamically updated and abnormal data patterns can be identified, greatly improving the security and anti-tampering capabilities of data.

[0019] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention but do not constitute a limitation of the present invention.

[0021] Figure 1 A main flow chart of a distributed power supply communication gateway resource scheduling method based on dual-mode communication provided in Embodiment 1 of the present invention; Figure 2 A schematic diagram of a distributed power supply communication gateway resource scheduling system framework based on dual-mode communication provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0023] Embodiment 1 like Figure 1 As shown, this embodiment discloses a distributed power supply communication gateway resource scheduling method based on dual-mode communication, comprising the following steps: S1: Acquire communication nodes, verify the time allocation of nodes in carrier wireless dual-mode communication, and generate a time schedule according to the load dynamics of real-time carrier communication; the time schedule includes the node allocation time, time priority and communication authority; S2: According to the time schedule, obtain the node activity frequency list and the node data urgency analysis results to generate the node criticality rating; S3: Update the Bayesian network model based on the node criticality rating and the real-time dual-mode communication network status parameters to evaluate the channel status of the real-time distributed power access unit; S4: Based on the channel status, the signal frequency and power of the dual-mode communication are adjusted to generate a channel adjustment instruction that meets the node communication requirements; S5: adjusting the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitoring and obtaining the data transmission efficiency analysis result of the distributed power access unit; S6: Based on the data transmission efficiency analysis results, detect the real-time encryption protocol and access rights of the dual-mode communication network, identify abnormal data patterns, and generate communication security logs.

[0024] In S1, the communication node is obtained, the time allocation of the verification node in the carrier wireless dual-mode communication is generated, and the time schedule is generated according to the load dynamics of the real-time carrier communication, which specifically includes: S101: Obtain node features according to real-time communication data of the node, where the node features are used to characterize the duration of data transmission by the node; classify the communication modes of the nodes according to historical node activity, and construct a node feature graph under each type of communication mode based on the node features; S102: Verify whether a key node with a high transmission priority is assigned a priority time according to the node feature graph; if not, adjust the node features of the key node and obtain a time rationality evaluation result based on the node feature graph; S103: Based on the load dynamics and time rationality evaluation results of real-time carrier communication, adjust the time allocation of distributed power access units to key nodes and generate a time schedule; the time schedule includes the node allocation time, time priority and communication authority.

[0025] In S101, a carrier wireless dual-mode communication node is obtained, wherein the node includes a base station, a relay station and a terminal user device responsible for data transmission and reception in a carrier wireless dual-mode communication network.

[0026] S1011: Collecting real-time communication data of nodes from the carrier wireless dual-mode communication network, including data packet size, transmission frequency and signal strength, calculating the total data transmission amount and average transmission rate of each node based on the communication data, and constructing node features characterizing the data transmission time of each node based on the above data, expressed as:

[0027] in, Representation Node The average transmission time, Is a node The number of packets, It is The size of the data packet, Is a node The average transfer rate.

[0028] It should be understood that the data packet size, transmission frequency, signal strength, total data transmission amount, and average transmission rate can be obtained by those skilled in the art.

[0029] S1012: Evaluate the activity of the nodes according to the historical activity records, and classify the nodes according to the matching results of the activity and the communication mode. The communication mode includes the interaction mode between nodes, the rules for sending and receiving information, the frequency and the type of data transmitted. Based on the activity of the nodes, the nodes are divided into corresponding communication modes, and a node feature graph is established based on the node features with the communication mode as a unit. The node feature graph includes visualization of the activity, role and behavior mode of the nodes.

[0030] It should be understood that those skilled in the art can define the node's historical activity behavior, activity indicators, and the correspondence between node activity and communication mode according to actual conditions. The present invention does not limit the specific method of evaluating node activity based on historical activity records and the node classification. The implementation details, specific activity measurement methods, and node classification standards are not fixed and can be adjusted and optimized according to specific applications and actual needs.

[0031] S102 specifically includes: using the node feature graph to analyze the time usage of the node and determine the transmission priority of each node in the network. Specifically, a priority rule is set, the longer the total usage time, the higher the priority of the node, and the node with a high priority is marked as a key node.

[0032] Data transfer can be quantified by the amount of data transferred (MB, GB) or by the number of transfers and the average time per transfer, by calculating the data transfer and processing time required at each node. To quantify and evaluate whether the time allocation meets the operational requirements of the nodes, compare the current time allocation with the actual performance of the nodes, find out the unreasonable time allocation, observe the performance of the nodes in the actual network operation (delay, packet loss rate), and compare and analyze with the time allocation to check whether the time requirements of all nodes are met, especially the key nodes. If the performance of the key nodes is limited due to insufficient time, it means that the time allocation is unreasonable. Adjust the time allocation according to the analysis results to ensure that the key nodes get priority time:

[0033] in, Indicates the adjusted duration of the critical node, which is the total time allocated for a specific task and data transmission. represents the time of the original allocation, Indicates communication delay, Indicates that network load, communication delay and network load conditions are artificially set in a controlled environment; and is the adjustment factor.

[0034] Evaluate whether key nodes are allocated priority time and generate time rationality evaluation results, which include a comparison of the actual time used by each node and the allocated time, and whether the node meets the predetermined service level agreement. The reasonably allocated nodes can be expressed as a percentage. For example, if in a network with 100 nodes, the time allocation of 80 nodes is considered to be reasonable, then the percentage of reasonably allocated nodes is 80%.

[0035] In S103, the load dynamics of real-time carrier communication are monitored, time allocation is adjusted, data flow and node response efficiency of distributed power access units are optimized, and a time schedule is generated; specifically, the following steps are included: Based on the time rationality evaluation results, the load and communication delay of the real-time carrier wireless dual-mode communication are monitored. By monitoring the load dynamics of the network, real-time information about the data volume and response time is collected, and the time rationality evaluation results are used to determine whether the current time allocation is effective. If the performance standard is not met, the time configuration will be adjusted according to the evaluation results to optimize the performance and response efficiency of the entire system. Monitoring involves collecting the data transmission volume and response time at each time and comparing them with the predetermined performance standards. If the current time allocation fails to meet the predetermined communication quality standards, the communication quality standards define the minimum performance standards that the system should achieve, and the time rationality evaluation results are a way to verify whether the system meets the standards. If the evaluation results show that the current time allocation cannot meet the standards, the time configuration needs to be adjusted to ensure system performance, and the preset optimization strategy will be used to adjust the time configuration.

[0036] The optimization strategy includes extending or shortening the duration of a specific time, or rearranging the order of time, so as to reduce the overall delay and improve the efficiency of data transmission, using the formula:

[0037] in, Representative The time adjustment index, is the total time, It is The load at a time, is the corresponding delay time, is the set performance threshold.

[0038] In this embodiment, Can be used as an adjustment factor and weight to adjust or optimize the time allocation of nodes and the time length after adjustment of key nodes ,if The value of indicates that the current configuration is not ideal and can be used to adjust the time configuration, optimize data flow and node response efficiency to ensure that the communication quality meets the preset standards. It becomes the key bridge between link load dynamics, time rationality assessment and system performance, helping to adjust and optimize the operating status of the network in real time.

[0039] After adjustment, the data flow configuration of the distributed power access unit is updated and a time schedule is generated.

[0040] This embodiment deeply analyzes node characteristics and communication modes, constructs a feature map to accurately identify key nodes, and further verifies and optimizes the time allocation of key nodes to ensure that high-priority nodes obtain priority communication time. At the same time, combined with real-time load dynamics and time rationality evaluation, the time schedule is dynamically adjusted to achieve efficient time management of distributed power access units. This schedule not only clarifies the allocation time and priority of the node, but also refines the communication authority, comprehensively improving the flexibility and efficiency of the communication system.

[0041] In S2, according to the time schedule, the activity frequency and data urgency of the node are obtained to generate the node criticality rating, which includes: S201: Based on the time schedule, obtain the number of data transmissions and the periodic data flow pattern of the node, and generate a node activity frequency list; S202: acquiring the communication frequency and communication data type of the node in dual-mode communication according to the node activity frequency list, and generating a node data urgency analysis result; S203: Classify the nodes in the dual-mode communication according to the data urgency analysis result, and generate a node criticality rating; the node criticality rating includes a node communication frequency rating and a data urgency rating.

[0042] In S201, based on the time schedule, the number of data transmissions of each node in the distributed power access unit is recorded. The recording process is continuous and covers all operation cycles. The time series analysis method is used to analyze the number of data transmissions of each node and the periodic pattern of data transmission. The periodic data flow pattern refers to the repetitive pattern of data transmission activities in time. For example, the node will send data at regular intervals. Such periodicity can be identified by time series analysis. Common methods include periodograms, which are used to detect periodic components in data. The time series model will consider various seasonal factors and periodic changes to model and predict data transmission patterns. Through the model, the stable cycle and abnormal fluctuations of node data transmission can be identified, and future activity trends can be effectively predicted. The model will also evaluate the concentration trend and discreteness of node activities in each cycle and generate a list of node activity frequencies.

[0043] The formula for the time series analysis method is as follows:

[0044] in, For time The observed value of is the trend component, For seasonal ingredients, For the circulation component, is the data quality indicator, is a random error, , , and is the weight coefficient of the component.

[0045] Specifically, the number of data transmissions of the node is recorded based on the time schedule, and a new data quality indicator is introduced , the indicator considers the integrity of the data and the transmission error rate, and calculates the trend component , seasonal ingredients and cyclic components , and adjust the weights of the components according to the data quality, the weight coefficient , , and Derived from regression analysis of historical data to ensure that the contribution of each component in the result is optimized, plus random errors To obtain the node activity frequency analysis results.

[0046] In S202, the node activity frequency list is used to classify the data type sent by each node to determine whether the data belongs to real-time data or regular data. By analyzing the activity frequency and data type of the node, the urgency of sending each type of data is evaluated. A composite scoring device is used to assess the urgency of the data, and the priority of data transmission is determined by combining the statistical analysis of the node frequency and data type. The evaluation takes into account the real-time requirements of the data and the overall load of the system, and generates the node data urgency analysis results, using the formula:

[0047] in, Representation Node The urgency score of Is the data type The urgency weight of Is a node Send data type frequency.

[0048] In S203, the nodes are classified into criticality levels according to the data urgency analysis results. The process involves analyzing the data transmission frequency of each node and the urgency of its data type, and evaluating the importance of the node in the carrier wireless dual-mode communication system. A weighted method is used to combine the frequency analysis and urgency evaluation results to help system administrators identify critical nodes, ensure the priority transmission of critical data, and generate node criticality ratings. The formula used is:

[0049] in, Representation Node The key ratings and The activity frequency and data urgency are weight factors respectively. The activity frequency of nodes can be ranked according to the combination of the number of transmissions of each node and the periodic pattern. If a node has a high frequency of data transmission in each cycle, it will be ranked in the node activity frequency list. The frequency value will be higher.

[0050] This embodiment uses the time schedule to deeply analyze the node activity frequency and data urgency, build an activity frequency list and refine the data urgency analysis. Based on these accurate data, the dual-mode communication nodes are scientifically classified and rated by criticality, which not only covers the consideration of communication frequency, but also deeply evaluates the data urgency. This rating system provides a strong basis for resource scheduling and effectively improves the response speed and overall performance of the communication system.

[0051] In S3, according to the node criticality rating and the real-time dual-mode communication network status parameters, the Bayesian network model is updated to evaluate the channel status of the real-time distributed power access unit; specifically, it includes: S301: Based on the node criticality rating, monitor the channel usage of key nodes in the carrier wireless dual-mode communication, analyze the channel occupancy and frequency band interference data, identify the communication characteristics of priority nodes, and generate channel status analysis results; S302: Using the node criticality rating and the real-time dual-mode communication network status parameters as input nodes of a Bayesian network model to construct a Bayesian network model; S303: dynamically adjusting and updating the parameters of the Bayesian network model according to the real-time data, specifically by updating the probability values ​​in the conditional probability table to reflect the impact of the new observation data on the network state; S304: Analyze the real-time dual-mode communication network state parameters through the channel state analysis results and the updated Bayesian network model, adjust the signal strength, transmission rate and delay of the distributed power access unit, analyze the carrier wireless dual-mode communication load and traffic distribution, and generate network performance indicators; S305: Based on the network performance indicators, the updated Bayesian network model is used for inference to evaluate the stability and transmission efficiency of the channel, and the channel status of the real-time distributed power access unit is evaluated in combination with the channel interference and the carrier wireless dual-mode communication load conditions; the channel status includes the channel stability score, channel interference factor identification and channel capacity status.

[0052] In S301, based on the node criticality rating, the channel usage of key nodes in the carrier wireless dual-mode communication is monitored in real time. The process involves regularly collecting channel occupancy data and frequency band interference records of each key node. By analyzing the data, the interference intensity in the channels and frequency bands with high occupancy rates is identified, and the impact of the nodes on the communication network is evaluated. The peak usage time of each channel is also detected and recorded to identify conflicts and opportunities for optimizing channel allocation. The channel allocation of priority nodes will be adjusted in real time to generate channel status analysis results. The formula used is:

[0053] in, Representation Node The channel state score, is the number of channels monitored, It is a channel The actual occupancy rate, Is a node In the channel The interference intensity on is the attenuation coefficient.

[0054] In this embodiment, the node criticality rating and the carrier wireless dual-mode communication network status parameters are constructed as nodes of the Bayesian network model, and the model parameters are dynamically adjusted and updated according to real-time data. The impact of new observation data on the network status is reflected by updating the probability values ​​in the conditional probability table, and the channel status and performance are evaluated based on the results of inference from the updated Bayesian network model.

[0055] In S304, the network parameters of the carrier wireless dual-mode communication are adjusted and optimized through the results of the channel state analysis, and the signal strength, transmission rate, delay of each node, and the relationship between the parameters and the overall network performance are recorded and analyzed in detail. The module continuously monitors the changes in signal strength and transmission rate fluctuations in the network, and predicts network behavior through a data-driven approach, and then adjusts the signal strength and transmission rate to match real-time network requirements and minimize delays. It also analyzes channel interference data, optimizes channel allocation and adjustment, improves the overall load capacity and traffic distribution efficiency of the network, and generates network performance indicators using the formula:

[0056] in, Represents the overall network performance indicator, is the number of network nodes, , and Represents nodes load, transmission rate and delay, , and is the corresponding weight coefficient.

[0057] In S305, the network performance indicators are used to evaluate and monitor the stability and transmission efficiency of the channel. In this process, the updated Bayesian network model is particularly used to make inferences based on the network performance indicators to more accurately evaluate the channel status. The module comprehensively considers channel interference, carrier wireless dual-mode communication load, and dynamic changes in the network. The evaluation process includes regularly collecting network load data and channel interference conditions. Channel interference factor identification refers to identifying various interference sources that affect the performance of the communication channel, including noise, signal interference or changes in environmental factors, as well as the response time and error rate of the channel under high load conditions. This information is input into the Bayesian network model for probabilistic reasoning and causal analysis, so as to more comprehensively understand the channel status.

[0058] The evaluation also includes the determination of stability score and channel capacity status. The stability score refers to the ability of a communication system or network to maintain performance under certain parameter changes. This score is obtained through a comprehensive analysis of the channel's historical data and current status using a Bayesian network model. The channel capacity state refers to the maximum ability of a channel to transmit data within a specific time, which involves understanding the data transmission rate and quality that the current channel can support. This state is also affected by the inference results of the Bayesian network model. Finally, the channel quality analysis results are generated by combining channel interference, carrier wireless dual-mode communication load, and the inference results of the Bayesian network model to adjust the network design and communication protocol to reduce interference and optimize load distribution. Among them, the channel quality score adopts the formula:

[0059] in, represents the channel quality score, and Respectively represent channels The interference intensity and load, and is the weight coefficient, is the distance attenuation coefficient, is the channel distance.

[0060] This embodiment uses the Bayesian network model to deeply evaluate the channel status of the distributed power access unit through node criticality rating and real-time network status parameters. It monitors the channel usage of key nodes, adjusts the signal strength and transmission rate in combination with network parameters, accurately analyzes the load and traffic distribution, and generates detailed network performance indicators. It then evaluates channel stability and transmission efficiency, identifies interference factors and quantifies channel capacity, providing a scientific basis for optimizing channel allocation and improving communication quality.

[0061] In S4, based on the channel status, the signal frequency and power of the dual-mode communication are adjusted to generate a channel adjustment instruction that meets the node communication requirements, specifically including: S401: Analyze the channel frequency usage in the real-time carrier wireless dual-mode communication based on the channel status, identify the interfered frequency band, adjust the signal frequency according to the channel status, and generate a frequency adjustment plan; S402: Calculate the signal power adjustment amount of the carrier wireless dual-mode communication by using the frequency adjustment plan, refer to the influence of differentiated node and channel conditions on the power demand of the distributed power access unit, adjust the transmission power to verify the signal quality, and generate the power adjustment parameter; S403: Formulate a channel adjustment strategy for the distributed power access unit through the power adjustment parameters, verify the optimal performance of the channel under real-time changing conditions by presetting the target frequency and power, and generate a channel adjustment instruction; the channel adjustment instruction includes a frequency adjustment range, power adjustment parameters and a signal modulation strategy.

[0062] In S401, based on the channel quality analysis results (channel status), a detailed analysis of the channel frequency usage in real-time carrier wireless dual-mode communication is performed, and the process includes monitoring the frequency occupancy of all channels and identifying the interfered frequency bands. Evaluate the type and severity of channel interference, especially frequency interference caused by environmental factors or equipment configuration errors. Based on the analysis results, adjust the signal frequency to avoid interfering frequency bands, and optimize frequency allocation to improve communication quality. The adjustment process includes selecting alternative frequencies and reallocating frequency usage rights to reduce interference and improve signal clarity and transmission efficiency, and generating a frequency adjustment plan using the formula:

[0063] in, Indicates the adjusted frequency usage plan, is the original frequency The usage ratio, is the interference level of the frequency, is the interference sensitivity coefficient.

[0064] In S402, the frequency adjustment plan is used to calculate the signal power adjustment amount of the carrier wireless dual-mode communication, taking into account the specific conditions of different nodes and channels, such as signal attenuation, node distance and environmental noise, and the impact of the conditions on the power demand of the distributed power access unit. The transmit power of each node is adjusted to verify and ensure the signal quality. This includes increasing power to compensate for the loss of long-distance transmission or reducing power to avoid short-distance signal interference, generating power adjustment parameters, and using the formula:

[0065] in, is the adjusted total transmit power, For nodes The power adjustment factor is Is a node frequency adjustment requirements.

[0066] In S403, the channel adjustment strategy of the distributed power access unit is formulated through power adjustment parameters, the predetermined target frequency and power are set, and the channel performance under real-time changing conditions is verified to ensure optimal communication efficiency and channel stability. By comprehensively considering the current network status, expected network load and environmental variables, the channel adjustment instruction is generated to maximize resource utilization, reduce signal interference and improve data transmission rate. The formula used is:

[0067] in, Indicates channel adjustment instructions. It is a channel The adjusted sensitivity coefficient of and Respectively represent channels The target power and frequency adjustment values. If Represents the total power adjustment value under certain conditions, then The calculation result can be directly used as a If there are multiple ,but Need to be allocated to each according to specific circumstances , The frequency adjustment requirement can be similarly mapped to ,if Need to include frequency adjustment information.

[0068] This embodiment accurately adjusts the signal frequency and power of dual-mode communication based on real-time channel status, effectively avoids interference frequency bands, and optimizes frequency usage. Signal quality is ensured by carefully calculating the power adjustment amount and combining differentiated node requirements. The formulated channel adjustment strategy is combined with preset goals to verify the optimal performance, and finally generates a channel adjustment instruction including frequency adjustment range, power parameters and modulation strategy, which significantly improves the flexibility and communication quality of the communication system.

[0069] In S5, the data transmission efficiency of the dual-mode communication is adjusted according to the channel adjustment instruction, and the data transmission efficiency analysis result of the distributed power access unit is monitored and obtained, which specifically includes: S501: Based on the channel adjustment instruction, real-time monitoring of the data transmission rate and delay of the carrier wireless dual-mode communication, recording the data response time of key nodes, and generating a real-time efficiency tracking record; S502: Compare the real-time efficiency tracking record with the historical data transmission record, evaluate the data transmission rate and response time changes before and after the channel adjustment, identify key influencing factors, and generate efficiency change comparison analysis results; S503: Evaluate the overall data transmission efficiency of the carrier wireless dual-mode communication through the efficiency change comparison analysis results, analyze the efficiency optimization degree of the differentiated nodes and channels in the distributed power access unit, and generate data transmission efficiency analysis results; the data transmission efficiency analysis results include transmission rate changes, data packet loss rate and transmission delay In S501, based on the channel adjustment instruction, the data transmission rate and delay in the carrier wireless dual-mode communication are monitored in real time to ensure that the carrier wireless dual-mode communication operates in the best state. It not only monitors the performance of the overall network, but also pays special attention to the data response time of key nodes, so as to timely discover and deal with potential communication problems. Real-time monitoring includes continuous recording of the data packet transmission rate and arrival delay of each node. The data is processed by advanced data analysis methods to reflect the performance status of the carrier wireless dual-mode communication system at any given time in detail, allowing the operator to respond quickly to performance degradation and generate real-time efficiency tracking records. The formula used is:

[0070] in, Indicates time The overall data transmission efficiency It is a key node The amount of data transfer, is the corresponding response time.

[0071] In S502, the real-time efficiency tracking records are compared with the past data transmission records to evaluate the changes in data transmission rate and response time before and after the channel adjustment, analyze the performance of each channel and node in detail, and identify the key factors that lead to efficiency changes. Through comparative analysis, it can be determined that some adjustment measures are effective and the remaining adjustment measures need further improvement. External factors such as the impact of environmental changes on data transmission are also considered to ensure the comprehensiveness and accuracy of the analysis results. The efficiency change comparative analysis results are generated using the formula:

[0072] in, represents the average change in efficiency, and Represent the nodes after and before adjustment respectively efficiency indicators.

[0073] In S503, the overall data transmission efficiency of the carrier wireless dual-mode communication system is comprehensively evaluated through the efficiency change comparison analysis results, and the efficiency performance of each node and channel is analyzed in detail, with special attention paid to the areas showing significant changes. Through analysis, it is determined that the optimization strategy is the most effective, and the nodes or channels need to be further adjusted to improve the overall network efficiency. New optimization measures are also designed, such as adjusting channel allocation or changing node configuration, to continuously improve data transmission rate and reduce latency, and generate data transmission efficiency analysis results, using the formula:

[0074] in, is the overall transmission efficiency, Is a node The amount of data, is the transmission delay, It is the signal interference of the node.

[0075] This embodiment monitors the efficiency of dual-mode communication in real time based on channel adjustment instructions, accurately tracks the response time of key nodes, and generates real-time efficiency records. Through comparative analysis, the positive impact of channel adjustment on data transmission is clarified, and the key factors for improving efficiency are identified. Finally, the overall data transmission efficiency and the differentiated optimization effects of nodes and channels are comprehensively evaluated, and detailed efficiency analysis results are generated to provide strong data support for further optimizing communication performance.

[0076] In S6, based on the data transmission efficiency analysis results, the real-time encryption protocol and access rights of the dual-mode communication network are detected, abnormal data patterns are identified, and communication security logs are generated, including: S601: Based on the data transmission efficiency analysis result, perform efficiency and security test of the real-time encryption protocol, and generate encryption protocol effect evaluation result by comparing the preset security standard and the real-time carrier wireless dual-mode communication data; S602: Using the encryption protocol effect evaluation result, review the carrier wireless dual-mode communication access rights, analyze the rationality and implementation effect of user authority configuration, and generate authority review results through access log and access mode analysis; S603: Based on the permission review results, a decision tree algorithm is used to monitor and analyze data flows and access behaviors in carrier wireless dual-mode communications, identify behaviors that deviate from normal patterns, evaluate potential security threat levels, and generate a communication security log; the communication security log includes the effectiveness of encryption protocols, access rights enforcement effects, key update records, and abnormal activity detection results.

[0077] In S601, based on the data transmission efficiency analysis results, the data transmission speed and encryption delay of the real-time encryption protocol are measured, the number of data packets per second and the average processing time are recorded, the integrity and modification date of the encrypted data packet are verified to detect whether the data is tampered with or lost during transmission, and the data is compared with the security threshold of the industry standard, such as the performance index of the AES or RSA encryption standard, to determine the efficiency and security level of the real-time encryption protocol. By comparing the preset security standard and the real-time carrier wireless dual-mode communication data, the encryption protocol effect evaluation result is generated, and the formula used is:

[0078] in, Score overall efficiency and safety, Represents the number of packets successfully transmitted per second. represents the average encryption delay, is the weight coefficient of data transmission speed, is the weight coefficient of encryption delay.

[0079] In S602, the encryption protocol effect evaluation results are used to extract the user identity and permission level from the data, compare the data with the company or organization's security policy, confirm the rationality of the user's access rights, analyze the consistency between the user's access request and the access rights, identify abnormal configurations with too high or too low permissions, use pattern recognition technology to analyze the user's access logs, find atypical access patterns or access times, which helps to determine the rationality of the user's permission configuration and the implementation effect. Through the access log and access pattern analysis, the permission review results are generated, and the formula used is:

[0080] in, Score safety, Represents the authority rationality score, Represents the abnormal access pattern index, is the weight coefficient of the authority rationality score, is the weight coefficient of the abnormal access pattern index.

[0081] In S603, based on the results of the authority review, the data flow in the carrier wireless dual-mode communication is quantitatively analyzed, the normal traffic pattern of each data type is defined, the deviation of the real-time data flow from the pattern is monitored, and the degree of deviation from the normal pattern is calculated using statistical analysis methods. A risk level is assigned to each deviation. Abnormal data flows are recorded and classified, and in-depth analysis is performed on data flows that deviate from the pattern. By tracking the source and access path, potential sources of security threats are revealed, the security threat level in the carrier wireless dual-mode communication is evaluated, and a communication security log is generated.

[0082] The formula for the decision tree algorithm is as follows:

[0083] in, The target dataset Adjusted information entropy, For behavior in the data set The probability of is the scaling factor of information entropy, is the probability weighting factor, is the probability adjustment factor, is the probability shift factor.

[0084] The execution flow is as follows: For each behavior, calculate The probability of , adjust each probability value by applying the factor and translation factor , to improve the sensitivity of information entropy to low-frequency behavior, and to adjust the probability Apply the logarithmic function and weight by Weight the information contribution of each probability, calculate the sum of the weighted information contributions, and multiply them by the scaling factor Adjust the entropy value to provide a more accurate risk assessment. Weighting factor , , and The specific value of can be determined by minimizing the prediction error on the historical data set through an optimization algorithm.

[0085] This embodiment comprehensively detects the encryption protocols and access rights of the dual-mode communication network based on data transmission efficiency analysis. Through encryption protocol effect evaluation and permission review, security standard compliance is ensured and permission configuration is optimized. The decision tree algorithm is used to intelligently monitor data flow and access behavior, accurately identify abnormal patterns, evaluate security threats, and generate detailed communication security logs. This effectively improves the security protection capabilities of the communication network and ensures the integrity and confidentiality of data transmission.

[0086] The resource scheduling method provided in this embodiment realizes the efficient management and security of distributed power access units under dual-mode communication through a series of closely connected steps. From the detailed planning of node time allocation, to the accurate determination of node criticality rating, to the intelligent evaluation and adjustment of channel status, each step has laid a solid foundation for improving data transmission efficiency. Finally, combined with the data transmission efficiency analysis, the encryption protocol and access rights are fully tested to ensure the security of communication. Overall, the steps of this method complement each other and jointly build an efficient, secure and flexible communication resource scheduling system.

[0087] Embodiment 2 like Figure 2 As shown, this embodiment provides a distributed power communication gateway resource scheduling system based on dual-mode communication, including a time division module, a node evaluation module, a channel real-time monitoring module, a channel strategy formulation module, an efficiency monitoring module and a safety analysis module; specifically: The time division module is used to obtain the communication node, verify the time allocation of the node in the carrier wireless dual-mode communication, and generate a time schedule according to the load dynamics of the real-time carrier communication; the time schedule includes the node's allocation time, time priority and communication authority; The node evaluation module is used to obtain the node activity frequency list and the node data urgency analysis results according to the time schedule, and generate the node criticality rating; The channel real-time monitoring module is used to update the Bayesian network model and evaluate the channel status of the real-time distributed power access unit according to the node criticality rating and the real-time dual-mode communication network status parameters; A channel strategy formulation module is used to adjust the signal frequency and power of dual-mode communication based on the channel status and generate channel adjustment instructions that meet the node communication requirements; An efficiency monitoring module, used to adjust the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitor and obtain the data transmission efficiency analysis result of the distributed power access unit; The security analysis module is used to detect the real-time encryption protocols and access rights of the dual-mode communication network based on the data transmission efficiency analysis results, identify abnormal data patterns, and generate communication security logs.

[0088] This embodiment monitors the output of distributed power sources in real time and automatically adjusts access parameters to match grid demand through the cooperation between various modules, thereby significantly improving the efficiency and reliability of energy management.

[0089] Embodiment 3 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the distributed power supply communication gateway resource scheduling method based on dual-mode communication as described in the first embodiment above are implemented.

[0090] Embodiment 4 This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in a distributed power communication gateway resource scheduling method based on dual-mode communication as described in the first embodiment above are implemented.

[0091] The processes involved in the above embodiments 2 to 4 correspond to the embodiment 1, and the specific implementation methods can refer to the relevant description part of the embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A distributed power communication gateway resource scheduling method based on dual-mode communication, characterized in that: include: Acquire communication nodes, verify the time allocation of nodes in carrier wireless dual-mode communication, and generate a time schedule based on the load dynamics of real-time carrier communication; The time schedule includes the node's allocation time, time priority and communication authority; According to the time schedule, obtain the node activity frequency list and node data urgency analysis results to generate node criticality rating; Based on the node criticality rating and real-time dual-mode communication network status parameters, the Bayesian network model is updated to evaluate the channel status of the real-time distributed power access unit; Based on the channel status, the signal frequency and power of the dual-mode communication are adjusted to generate channel adjustment instructions that meet the node communication requirements; Adjust the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitor and obtain the data transmission efficiency analysis result of the distributed power access unit; Based on the data transmission efficiency analysis results, the real-time encryption protocols and access rights of the dual-mode communication network are detected, abnormal data patterns are identified, and communication security logs are generated.

2. A distributed power communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The acquiring of the communication node and the verification of the time allocation of the node in the carrier wireless dual-mode communication and the generation of a time schedule according to the load dynamics of the real-time carrier communication specifically include: Obtain node features based on the real-time communication data of the node, where the node features are used to characterize the duration of the node transmitting data; classify the communication modes of the nodes based on the historical node activity, and construct a node feature graph under each type of communication mode based on the node features; According to the node feature graph, verify whether the key nodes with high transmission priority are assigned priority time; if not, adjust the node features of the key nodes and obtain the time rationality evaluation result based on the node feature graph; Based on the load dynamics and time rationality evaluation results of real-time carrier communication, the time allocation of distributed power access units to key nodes is adjusted to generate a time schedule.

3. A distributed power communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The method of obtaining a node activity frequency list and a node data urgency analysis result according to the time schedule and generating a node criticality rating specifically includes: Based on the time schedule, obtain the data transmission times and periodic data flow patterns of the nodes, and generate a list of node activity frequencies; According to the node activity frequency list, the communication frequency and communication data type of the node in the dual-mode communication are obtained, and the node data urgency analysis result is generated; According to the data urgency analysis results, the nodes in the dual-mode communication are classified to generate a node criticality rating; the node criticality rating includes a node communication frequency rating and a data urgency rating.

4. A distributed power supply communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The updating of the Bayesian network model according to the node criticality rating and the real-time dual-mode communication network status parameters to evaluate the channel status of the real-time distributed power access unit specifically includes: Based on the node criticality rating, monitor the channel usage of key nodes in carrier wireless dual-mode communication, analyze channel occupancy and frequency band interference data, identify the communication characteristics of priority nodes, and generate channel status analysis results; The node criticality rating and the real-time dual-mode communication network state parameters are used as input nodes of the Bayesian network model to construct the Bayesian network model; Dynamically adjust and update the parameters of the Bayesian network model based on real-time data, specifically by updating the probability values ​​in the conditional probability table to reflect the impact of new observation data on the network status; Through the channel state analysis results, combined with the updated Bayesian network model, the real-time dual-mode communication network state parameters are analyzed, the signal strength, transmission rate and delay of the distributed power access unit are adjusted, the carrier wireless dual-mode communication load and traffic distribution are analyzed, and the network performance indicators are generated; Based on the network performance indicators, the updated Bayesian network model is used for inference to evaluate the stability and transmission efficiency of the channel. Combined with the channel interference and the carrier wireless dual-mode communication load, the channel status of the real-time distributed power access unit is evaluated; the channel status includes the channel stability score, channel interference factor identification and channel capacity status.

5. A distributed power communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The signal frequency and power of the dual-mode communication are adjusted based on the channel state to generate a channel adjustment instruction that meets the node communication requirements, specifically including: Based on the channel status, analyzing the channel frequency usage in the real-time carrier wireless dual-mode communication, identifying the interfered frequency band, adjusting the signal frequency according to the channel status, and generating a frequency adjustment plan; Utilizing the frequency adjustment plan, calculating the signal power adjustment amount of the carrier wireless dual-mode communication, referring to the influence of differentiated node and channel conditions on the power demand of the distributed power access unit, adjusting the transmission power to verify the signal quality, and generating the power adjustment parameter; Through the power adjustment parameters, a channel adjustment strategy for the distributed power access unit is formulated, and by presetting the target frequency and power, the optimal performance of the channel under real-time changing conditions is verified, and a channel adjustment instruction is generated; the channel adjustment instruction includes a frequency adjustment range, power adjustment parameters and a signal modulation strategy.

6. A distributed power communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The step of adjusting the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction and monitoring and obtaining the data transmission efficiency analysis result of the distributed power access unit specifically includes: Based on the channel adjustment instructions, real-time monitoring of the data transmission rate and delay of the carrier wireless dual-mode communication, recording the data response time of key nodes, and generating real-time efficiency tracking records; Comparing the real-time efficiency tracking records with historical data transmission records, evaluating changes in data transmission rate and response time before and after channel adjustment, identifying key influencing factors, and generating efficiency change comparison analysis results; Through the efficiency change comparison analysis results, the overall data transmission efficiency of the carrier wireless dual-mode communication is evaluated, the efficiency optimization degree of differentiated nodes and channels in the distributed power access unit is analyzed, and the data transmission efficiency analysis results are generated; the data transmission efficiency analysis results include transmission rate changes, data packet loss rate and transmission delay.

7. A distributed power supply communication gateway resource scheduling method based on dual-mode communication as claimed in claim 1, characterized in that: The method of detecting the real-time encryption protocol and access rights of the dual-mode communication network according to the data transmission efficiency analysis result, identifying abnormal data patterns, and generating communication security logs specifically includes: Based on the data transmission efficiency analysis results, the efficiency and security test of the real-time encryption protocol is performed, and the encryption protocol effect evaluation result is generated by comparing the preset security standard and the real-time carrier wireless dual-mode communication data; Using the encryption protocol effect evaluation results, review the carrier wireless dual-mode communication access rights, analyze the rationality and implementation effect of user authority configuration, and generate authority review results through access log and access mode analysis; Based on the results of the permission review, a decision tree algorithm is used to monitor and analyze data flows and access behaviors in carrier wireless dual-mode communications, identify behaviors that deviate from normal patterns, evaluate potential security threat levels, and generate communication security logs; the communication security logs include the effectiveness of encryption protocols, the effectiveness of access rights implementation, key update records, and abnormal activity detection results.

8. A distributed power supply communication gateway resource scheduling system based on dual-mode communication, characterized in that: include: The time division module is used to obtain the communication node, verify the time allocation of the node in the carrier wireless dual-mode communication, and generate a time schedule according to the load dynamics of the real-time carrier communication; the time schedule includes the node's allocation time, time priority and communication authority; The node evaluation module is used to obtain the node activity frequency list and the node data urgency analysis results according to the time schedule, and generate the node criticality rating; The channel real-time monitoring module is used to update the Bayesian network model and evaluate the channel status of the real-time distributed power access unit according to the node criticality rating and the real-time dual-mode communication network status parameters; A channel strategy formulation module is used to adjust the signal frequency and power of dual-mode communication based on the channel status and generate channel adjustment instructions that meet the node communication requirements; An efficiency monitoring module, used to adjust the data transmission efficiency of the dual-mode communication according to the channel adjustment instruction, monitor and obtain the data transmission efficiency analysis result of the distributed power access unit; The security analysis module is used to detect the real-time encryption protocols and access rights of the dual-mode communication network based on the data transmission efficiency analysis results, identify abnormal data patterns, and generate communication security logs.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by the processor, the steps in the distributed power supply communication gateway resource scheduling method based on dual-mode communication as described in any one of claims 1-7 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the distributed power supply communication gateway resource scheduling method based on dual-mode communication as described in any one of claims 1-7 are implemented.

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