3420 results about "Telecommunications link" patented technology

The invention relates to the technical field of computing power scheduling, and discloses a heterogeneous resource computing power intelligent scheduling method and system. According to the method, real-time state monitoring is conducted on heterogeneous computing resources, and resource state parameters such as the computing unit utilization rate and the memory occupancy rate are obtained; task attributes and user request parameters of the task queue are collected, historical task data are processed based on the genetic algorithm optimization model to execute task demand prediction, and predicted demand parameters are generated. A dependency graph containing resource unit nodes and communication link roadsides is constructed through a resource topology analysis tool, predicted demand parameters are input into a scheduling priority classifier trained by a graph neural network, and an actual scheduling priority is identified. And executing resource conflict prediction based on the priority, inputting task feature vectors into a conflict resolution module of a fuzzy logic decision maker, outputting actual conflict resolution parameters, and finally integrating to generate a scheduling scheme containing a resource allocation sequence and an execution time table.

The invention discloses a personalized federated learning optimization method and system, and mainly solves the problem of poor performance of an existing personalized federated learning model. The method comprises the following steps: establishing a communication link between a client and a server; each client receives a current global sharing model parameter broadcasted by the server, loads the current global sharing model parameter to a local model, and introduces a total loss function of a dynamic alignment strength definition model; training and optimizing local model parameters, and updating shared parameters by using the parameters; the client side calculates a self-adaptive aggregation weight based on the parameter updating quantity norm, the data volume weight and the synchronous frequency weight of the client side, and uploads the self-adaptive aggregation weight and the updated shared parameters to the server; and the server receives the parameter and weight information uploaded by the server, executes global model aggregation to obtain an updated global model, and outputs the global model reaching accuracy convergence or a preset training round on the verification set. According to the method, local personalization and global consistency can be balanced, the robustness and efficiency of global aggregation are improved, and the method can be used for processing scenes of high data isomerism and dynamic change of client participation states.

The invention relates to the technical field of mine safety early warning, and particularly provides a mine risk early warning method based on multi-parameter fusion and trend prediction, and the method comprises the steps: collecting multi-dimensional safety parameters including mine environment, equipment operation and production working condition parameters in real time; acquiring mine historical data, and generating a parameter association feature set through time sequence analysis in combination with real-time multi-dimensional parameters; inputting the multi-dimensional parameters and the feature set into a trained risk trend prediction model, and outputting a current risk level and an evolution trend; according to the risk level, the evolution trend and the real-time parameters, early warning information and a response strategy are dynamically generated; and the communication link is adapted based on the risk level, and the early warning information and the strategy are pushed to the target terminal. The method breaks through single parameter monitoring limitation, breaks through traditional alarm hysteresis through multi-parameter fusion and trend pre-judgment, constructs a perception-pre-judgment-response-transmission complete closed loop, solves the problems of early warning and disposal disjunction, transmission failure and the like, and improves the active prevention and control capability and management and control accuracy of mine risks.

The invention relates to a three-in-one network Internet of Things card automatic switching method. The switching method comprises the following steps: collecting state parameters of a plurality of operator networks; constructing a signal space topology model of the target area, predicting each operator network according to the signal space topology model, and calculating a comprehensive quality score of each operator network according to a preset multi-dimensional weighted evaluation model so as to establish standby communication links of other to-be-switched networks; calculating a corresponding switching income index according to the comprehensive quality score and a historical switching record of the currently used network, and generating a corresponding network switching instruction; and calculating a communication performance change result before and after switching of the network switching instruction so as to perform adaptive adjustment on weight parameters in the multi-dimensional weighted evaluation model. The method can predict and complete switching in advance before signal attenuation or network congestion, avoids communication interruption, dynamically optimizes a decision according to the use history and switching cost, and achieves a network switching control effect with both performance stability and economical efficiency.

The invention discloses a charging pile communication method and system based on multi-protocol adaptation, and solves the problem of compatibility between a charging pile and vehicles with different communication protocols. The method comprises the following steps: acquiring charging request data of a charging pile and a vehicle, identifying a vehicle communication protocol, and performing compatibility comparison with a charging pile protocol; and if the protocol is not matched, carrying out transcoding strategy matching by using a protocol converter, constructing a protocol adaptation scheme, and realizing communication link connection between the charging pile and the vehicle. And the system monitors the charging state of the vehicle in real time, evaluates the conversion performance of the protocol adaptation scheme based on the charging state, and obtains performance data. And finally, performing optimal configuration on the parameters of the protocol converter according to the performance data. According to the method, dynamic adaptation and optimization among multiple protocols are realized, the compatibility and efficiency of charging communication are improved, the intelligent level of charging management is enhanced, the method is suitable for various charging environments, and the charging experience and the system stability are improved.

The invention belongs to the technical field of intelligent unmanned systems and edge intelligent reasoning, and discloses an unmanned aerial vehicle emergency inspection system integrating low-altitude communication and edge calculation. The system is composed of a link state monitoring and scoring module, a reasoning calculation migration and model loading module, a task graph modeling and dynamic segmentation module, a multi-unmanned aerial vehicle task collaboration and trajectory continuation module, a flight state fusion and path adjustment module, a redundancy criterion driven fault-tolerant control module and a result consistency verification and data caching module. According to the method, the communication link scoring function fusing the packet loss rate, the bandwidth, the time delay and the signal-to-noise ratio is constructed, the comprehensive quality evaluation of different low-altitude communication links is realized, and the reasoning model switching and task migration strategy is driven by the scoring result, so that the communication adaptation capability of the system in a complex, dynamic or emergent scene is remarkably improved, and the system performance is improved. Compared with an existing communication mechanism depending on a fixed link or a preset priority.

The invention discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

The invention discloses a self-adaptive safety control method of a nonlinear MIMO system under intermittent DoS attack, which comprises the following steps: establishing a nonlinear MIMO system model suffered from intermittent DoS attack, and the system model is in a strict feedback form and comprises an unknown nonlinear function and bounded external disturbance; the DoS attack causes periodic interruption of a communication link from a sensor to a controller, so that actual measurement data is unavailable in an attack activation period; designing a switching type adaptive state estimator; coordinate transformation is carried out by introducing a filter, and a system error is decomposed into a tracking error and a dynamic surface filtering error; a Lyapunov function is constructed; performing stability analysis in stages; designing an adaptive law to update unknown parameter estimation values of the FLS; and a final event triggering controller is designed, and the event triggering controller is combined with a virtual controller to track an error compensation term and an FLS approximation term. The problem that the state cannot be measured is solved.

The invention relates to the field of computer systems, in particular to an operation stability testing method and system oriented to a heterogeneous computing system, and the method comprises the steps: constructing a system overall operation logic model comprising a resource topological structure, a task scheduling rule and a communication link matrix; identifying a key communication path according to the communication link matrix, analyzing a resource competition hotspot in combination with a task scheduling rule, and establishing an interference model library; calling a specific model instance in the interference model library according to a test target, configuring injection parameters, and dynamically applying interference in a system operation process; key performance indexes in the system operation process are collected in real time; based on the real-time monitoring data, a multi-index weighted scoring algorithm is adopted to calculate an overall stability coefficient, a robustness grade and a self-healing capability index of the system, and a stability evaluation result is generated; and generating a visual report according to the topological structure of the operation logic model, and supporting comparison and analysis of historical versions. Unified centralized management is realized, and test efficiency and evaluation accuracy are improved.

The invention relates to the technical field of vehicle-mounted communication, and provides a 5G network optimization method and system based on an intelligent dynamic multi-band adaptive switching system, and the method comprises the steps: obtaining network signal quality data, environment perception data and a communication task demand set; dynamic obstacle features are extracted based on environmental perception data, and signal occlusion prediction is output through a double-branch mixed deep learning model; screening qualified candidate links to construct a candidate set, generating a dynamic weight by using a deep Q network, calculating a comprehensive score of the candidate links, determining a main communication link under a hard constraint condition, and generating a communication strategy instruction; and according to the instruction type of the communication strategy instruction, performing dynamic fragmentation and multi-path distribution on the data stream, performing verification, recombination and intelligent delivery by a receiving end, and collecting a feedback data packet for network closed-loop feedback. According to the method, multi-mode sensing and signal shielding prediction are fused, and a self-adaptive switching and cooperative transmission mechanism of multi-band communication is constructed.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

The invention provides a hierarchical deep reinforcement learning routing protocol method based on a multi-link ad hoc network, relates to the technical field of communication routing, and solves the problem that the calculation efficiency in the current multi-link ad hoc network is degraded. The method comprises the following steps: firstly, constructing and dynamically updating a global network view for all nodes in a network, and further constructing a route selection model which is divided into a high-level controller and a low-level controller; a high-level controller plans a route from a global perspective and balances a global load, and a low-level controller selects a target node according to a planning result of the high-level controller and distributes an optimal communication link for the target node in combination with link state information; training and optimization of the network of each controller are carried out independently, external rewards are introduced to a high-level controller, and internal rewards are introduced to a low-level controller; the external reward is used for optimizing the overall performance of the high-level controller; the internal reward is used as an index value of the low-level controller for feeding back the link state in real time, and collaborative optimization of the high-level controller and the low-level controller is achieved.

This invention relates to a modular sensing, communication, and analytics platform. The platform includes a modular device network having a communication module, a main module, and at least one modular device, where the communication module, the main module, and the at least one modular device use acoustic signals, visual signals, light signals, and / or radio frequency to establish a communication link between the communication module, the main module, and the at least one modular device.

The invention relates to the field of network communication, and discloses a multi-source heterogeneous network data cooperative transmission method based on dynamic multi-dimensional evaluation and intelligent disaster recovery, which comprises the following steps: collecting system network parameters of a 5G network and a long-distance wired network in real time through a software definition interface module; performing weighted evaluation on the acquired system network parameters based on a dynamic link selection engine, the evaluation dimensions including real-time bandwidth, transmission delay and current link traffic, and generating an optimal communication link combination scheme; carrying out fragmentation and protocol adaptation on the data by adopting a general packaging framework and an intelligent label technology; distributing multi-path parallel transmission according to a priority strategy; at a receiving end, data recombination and disaster recovery supplementary transmission are realized through network coding and multi-path cooperation; and the evaluation weight is dynamically optimized in combination with reinforcement learning. According to the invention, the problems of rigid link selection, low protocol conversion efficiency and insufficient disaster tolerance in the prior art are solved.

The invention relates to the field of clean energy, and provides a distributed secondary control method for an island micro-grid system based on event triggering, which comprises the following steps: S1, connecting adjacent distributed units in an island micro-grid through a local communication link, and constructing a distributed control architecture to eliminate dependence on a central controller; s2, triggering communication of the local communication link based on a preset threshold value, and transmitting a secondary control signal when the system state deviation exceeds the threshold value; s3, performing cooperative calculation on the secondary control signal by using the distributed control architecture, adjusting frequency and voltage deviation, and shielding original power data; and S4, connecting a newly added distributed unit to the distributed control architecture through the local communication link, thereby reducing high communication burden and single-point fault of centralized control of the island microgrid.

The invention discloses a multi-communication link management platform and method for a wireless ad hoc network, and relates to the technical field of wireless communication, and the platform comprises a situation awareness module which is used for collecting data and generating situation data in combination with a three-dimensional digital map; the link occlusion risk prediction module is used for generating a predictive occlusion index based on the situation data; the multi-link comprehensive efficiency evaluation module is used for receiving the predictive shielding index and calculating and outputting a link comprehensive efficiency score in combination with the operation cost data; and the predictive switching decision and execution module is used for responding to the switching condition and switching the service data flow from the currently activated link to the inactivated link with the highest link comprehensive performance score. According to the method, communication interruption is avoided by actively predicting switching, expensive links are used as required, a multi-target model is adopted, the cost is reduced, and the method can flexibly adapt to service requirements.

The invention relates to the technical field of ecological system service function evaluation. The invention relates to a frequency offset correction algorithm in HPLC (High Performance Liquid Chromatography) + HRF (High Radio Frequency) dual-mode communication. The method comprises the following steps: S1, collecting phase sequence data from an HPLC communication link, collecting frequency offset estimation data and corresponding confidence data from an HRF communication link, and adaptively adjusting a preset detection threshold value of the phase sequence data according to the confidence data; s2, performing pulse abnormal sample point detection and elimination on the phase sequence data according to the adjusted preset detection threshold value; according to the method, the detection threshold is dynamically adjusted through the confidence data, so that the anomaly detection process can be matched with the current interference environment in real time, the integrity of the phase sequence data is maintained, and the problem of insufficient adaptability of a fixed detection threshold in an electromagnetic interference dynamic change scene is solved; and a more reliable phase data basis is provided for subsequent interpolation compensation and frequency offset estimation, so that the frequency offset correction precision of the dual-mode communication system is improved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, at a first modem and from a first device, one or more data packets. Based on an explicit congestion notification (ECN) capable transport (ECT) codepoint indication in respective header portions of the data packets, the UE may route the data packets from the first modem to two or more queues associated with a second modem of the UE. Based on receiving buffer and link state information associated with the second modem, the UE may perform a congestion indication procedure that is associated with congestion of a communication link associated with the UE. The UE may thereafter transmit, to a second device, packet data from the two or more queues associated with the second modem of the UE based on a respective priority associated with the two or more queues.

The invention discloses a multi-link fusion service adaptive dynamic selection method based on link state prediction. The method comprises the following steps: acquiring link data of a multi-source heterogeneous communication link through a distributed probe; inputting the link data into a multi-factor arbitration engine to obtain a link discrimination result; wherein the multi-factor arbitration engine comprises a factor weight interlayer and a prediction model module; the factor weight interlayer is used for calculating a link score of a corresponding link when the multi-source heterogeneous communication link is in a stationary state; the prediction model module is used for outputting a quality prediction result of the multi-source heterogeneous communication link when the multi-source heterogeneous communication link is in a fluctuation state; the link discrimination result is obtained according to a link score or a quality prediction result; and selecting a communication link for transmission according to the link discrimination result. The method has better compatibility, ensures instant acquisition and analysis of link state data, reduces information lag, and is more fit for service transmission characteristics, and the quality prediction result can reserve sufficient time for switching links.

The invention discloses a multi-mode communication switching method of a large unmanned aerial vehicle and a related device, and the method comprises the steps: setting an auxiliary communication link to be in a hot standby state after an airborne end of the large unmanned aerial vehicle is in communication connection with a ground end through a main communication link, and carrying out the real-time monitoring of a current communication link, and obtaining a real-time monitoring result; when the real-time monitoring result is that the current communication link is abnormal in communication, the airborne end switches communication connection from a main communication link to an auxiliary communication link in a hot backup state, and controls the main communication link to enter a diagnosis mode; and after the main communication link executes the diagnosis mode and returns to normal, controlling the main communication link to enter a hot standby state, and switching the communication connection from the auxiliary communication link to the main communication link. In the embodiment of the invention, the problems that a signal coverage blind area exists in a single link and the single link is susceptible to interference are solved, so that the real-time control requirement of a large unmanned aerial vehicle is met, and the reliability and the stability in a long-distance communication scene are improved.

The invention discloses a computing power collaborative management method and system based on a cross-architecture state sensing engine, and relates to the technical field of GPU computing power pooling scheduling. The method comprises the following steps: establishing a communication link set between a plurality of GPU instances and a plurality of CPU controllers; collecting and analyzing indexes such as data throughput rate, queue length and communication time delay of each link in real time, and dynamically identifying a system bottleneck link; aiming at the detected bottleneck link, the fine granularity of the bottleneck link is split into a plurality of sub-links, and each sub-link is allocated with an independent cache queue and a flow control strategy, so that fine management and isolation of link resources are realized; furthermore, the scheduling priority is calculated according to the real-time state index of each sub-link, and the optimal sub-link is preferentially selected for task scheduling during task allocation. Therefore, the resource utilization rate and the task scheduling efficiency in the multi-tenant heterogeneous computing power pool environment are effectively improved, and the conditions of local link congestion and false idle / false busy of the computing power pool are remarkably relieved.

The invention discloses a multi-agent reinforcement learning method. The method comprises the following steps: step 1, system initialization and edge device modeling; 2, generating a data source and constructing a task package; step 3, edge equipment trajectory planning and movement acquisition; 4, local task execution and unloading strategy decision making; 5, communication link modeling and bandwidth resource allocation are carried out; step 6, scheduling optimization driven by an information age and depreciation mechanism; step 7, multi-agent strategy optimization based on Actor-Critic is carried out; and step 8, reward function design and reinforcement learning process. The technical problems that an existing centralized scheduling or heuristic algorithm cannot perform efficient learning and scheduling in a resource heterogeneous and data dynamic environment, and cannot still have good learning ability and generalization ability under the condition of lack of global information are solved; the method is suitable for system modeling and optimization work of efficient strategy learning and collaborative decision making of multiple agents in a complete cooperation task.

The invention discloses a rapid communication and redundancy control method for an AGC substation of a distributed photovoltaic power station, and the method comprises the following steps: S1, receiving an automatic power generation control instruction from a power grid dispatching system in parallel and uploading real-time operation data of the photovoltaic power station through two independent communication links; according to the invention, the reliability and robustness of the system are fundamentally improved; by constructing a physical basis of parallel work of two paths of independent communication links and combining real-time state monitoring and a millisecond-level rapid switching mechanism, the method thoroughly changes the fragile situation that the whole substation is disconnected and the function is paralyzed due to a single communication channel or a power supply fault of a traditional system; when the main optical fiber link is interrupted due to construction damage or equipment failure, the system can automatically and seamlessly switch all communication services to the standby Ethernet or wireless link without depending on manual intervention, and it is ensured that the transmission path of the scheduling control instruction is always smooth.

The invention relates to the technical field of data security, in particular to a quantum cryptography migration resisting method and system for a power system, and the method comprises the steps: carrying out the quantum threat risk assessment of a communication link based on the layering and partitioning architecture features of the power system; obtaining attribute data of the encryption component, and performing parallel migration risk analysis on the encryption component in combination with a quantum threat risk assessment result to generate an anti-quantum migration risk matrix; carrying out compatibility evaluation on a traditional public key algorithm and an anti-quantum cryptography algorithm based on algorithm features, and constructing a double-track encryption migration strategy; dynamically adjusting a double-track weight ratio, and constructing a double-track encryption hierarchical migration strategy based on a control hierarchy to which a communication link belongs; and executing the double-track encryption layered migration strategy and monitoring the migration effect, and performing self-adaptive correction on the double-track encryption layered migration strategy based on the migration effect. According to the method, a quantum threat assessment and double-track encryption layered migration mechanism is constructed, so that safe and smooth migration of the power system under the threat of quantum computing is realized.

The invention discloses a power grid air-ground cooperative emergency control system and method based on unmanned aerial vehicle multi-agent reinforcement learning, and belongs to the technical field of power system emergency control and intelligent cooperation. Comprising the following steps: a central coordination unit obtains a voltage state and a load importance degree of a power grid node and a position, energy and a communication state of an unmanned aerial vehicle cluster in real time, an emergency priority node is identified based on voltage recovery deviation and communication link quality, dynamic clustering is carried out, and a comprehensive communication demand priority of each node cluster is calculated; according to the method, the strong coupling optimization problem of power grid voltage recovery and emergency communication guarantee in a disaster environment is solved, the power supply reliability, the communication connectivity and the emergency response efficiency of the system are improved, the energy utilization of the unmanned aerial vehicle is optimized at the same time, and the energy utilization rate of the unmanned aerial vehicle is improved. The method is suitable for rapid recovery and cooperative scheduling of key infrastructures in extreme scenes such as earthquakes and typhoons.

Systems and methods for autonomous space-mission coordination integrate ground-based prediction with on-orbit execution. A processing system in a ground station may ingest multi-source environmental data, produce near-term nowcasts through an prediction model, rank pending spacecraft tasks against current resource telemetry, select a high-value task subset, convert the subset into time-tagged command packets, and transmit the packets through a communications link. A processing system aboard each spacecraft may receive the packets, merge them into a persistent schedule, and at each time tag slews attitude, activate an imaging or radar sensor with specified parameters, capture data, and store the data in non-volatile memory. The spacecraft may generate quality metrics for the captured data and return the metrics to the ground station.

The invention belongs to the technical field of unmanned aerial vehicle remote identification, and particularly relates to unmanned aerial vehicle RID equipment based on multiple communication modes and a data transmission method, and the equipment comprises at least two heterogeneous communication modules which are used for establishing a data transmission link with an external network or a receiving terminal; the data acquisition unit is used for performing real-time acquisition and formatting to generate an RID data frame containing unmanned aerial vehicle identity information, real-time position information and flight state information; the environment sensing unit is configured to periodically detect and quantify channel quality parameters of each communication link corresponding to the at least two heterogeneous communication modules; according to the invention, the at least two heterogeneous communication modules are arranged and combined with the environment sensing unit to detect the channel quality parameters in real time, and the central processing unit is utilized to dynamically select the optimal communication link according to the multi-dimensional communication transmission strategy set, so that the problem that a single communication mode is easily influenced by the environment to cause transmission interruption is solved; the method has the advantages of improving communication reliability, adapting to complex environments and reducing transmission interruption risks.

An example communication system includes a distributed unit of a fronthaul communication system architecture, wherein the distributed unit is in communication with a core network of the communication system, a radio unit of the fronthaul communication system architecture, wherein the radio unit is electrically coupled with at least one cellular antenna, and the radio unit is configured to transmit and receive wireless cellular signals, and a wireless communication link between the distributed unit and the radio unit. The wireless communication link includes a first system-on-chip (SoC) device electrically coupled with the radio unit, and a second SoC device electrically coupled with the distributed unit, wherein the first SoC device and the second SoC device are configured to wirelessly transmit communication signals between the radio unit and the distributed unit at a frequency of at least sixty Gigahertz.

The invention discloses a vacuum combined preloading intelligent regulation and control method and system for coastal soft foundation treatment, and the method comprises the steps: cleaning a construction area, laying a drainage sand cushion layer and a plastic drainage plate, constructing a vacuum system and a monitoring network, carrying out preloading according to a layering grading and tide adaptation principle, and starting a vacuum control unit. Data is collected and analyzed in real time to trigger a regulation and control instruction, a vacuum degree compensation value and supplementary loading operation are adjusted according to the instruction, secondary strengthening is conducted on an area with the strength not reaching the design, and finally unloading and leveling are conducted according to the standard; the system comprises a data acquisition module, an edge calculation module, an intelligent control module, a stacking execution module and a vacuum regulation and control module, and the modules are connected through wired or wireless communication links to realize data interaction and instruction transmission; according to the method, the problems that the vacuum degree is unstable and regulation and control are lagged in the coastal tidal environment in a traditional method are solved, and the soft foundation treatment efficiency and safety are improved.

The invention discloses an HPLC and HRF dual-mode communication method and system for an intelligent power grid, and the method comprises the steps: enabling a source communication node to transmit power grid service data through an HPLC and HRF dual channel, and forming a dual-mode data package; after receiving the data, the target communication node demodulates and recovers service data from the HPLC and HRF signals, synchronously measures and calculates the two paths of signals, and extracts real-time cable fingerprints reflecting power line medium characteristics and real-time space fingerprints reflecting space wireless characteristics; further, performing similarity comparison on the real-time dual-mode fingerprint and a pre-stored source node reference dual-mode fingerprint; and finally, judging the security state of the communication link and the validity of the data in a combined manner according to whether the comparison result meets a credible threshold value or not and by combining the integrity verification of the service data, and executing subsequent network operation accordingly. According to the invention, the physical layer fingerprints are invisibly extracted in normal service communication, so that real-time link authentication without special detection signals is realized, and man-in-the-middle attack and equipment counterfeit are effectively defended.