1080 results about "Data link" patented technology

A wind energy plant with a nacelle, a rotor, which features at least one rotor blade adjustable in its blade pitch angle, a central control device for controlling the wind energy plant and a control unit disposed in the rotor for controlling the blade pitch angle of the at least one rotor blade, wherein the central control device and the control unit in the rotor can exchange data with each other via a data link, which comprises at least one first sending and receiving device at the nacelle side and at least one second sending and receiving device at the rotor side, wherein a wireless network connection with a safety-oriented communication protocol is provided between the at least one first sending and receiving device and the at least one second sending and receiving device, and that one monitoring- and communication device at a time is associated to the first and / or the second sending and receiving device, which can monitor the function of the sending and receiving device and initiate a predetermined action in the case of an error.

The invention discloses a collaborative sharing method, system and device on an energy data chain fusing multi-party security calculation and zero knowledge proof and a storage medium, and belongs to the field of energy data security sharing and block chain privacy protection, and the method comprises the steps: executing desensitization processing on original data according to types, and generating a cryptographic commitment value and a data hash identifier; encrypting and fragmenting the desensitized data, registering a task structure body through an intelligent contract, and uploading the task structure body; and each node decrypts the ciphertext, executes calculation and generates a zero-knowledge proof, and submits the zero-knowledge proof to the block chain to be verified by the smart contract. According to the method, data privacy protection and result verifiability unification are realized, cross-mechanism cooperation efficiency is improved, an auditing system on a whole process chain is constructed, and safe sharing of energy data is guaranteed.

The invention relates to the technical field of cluster video stream processing, and discloses a video stream real-time coding and decoding transmission method under a cluster. The method comprises the following steps: firstly, acquiring video stream coding parameter text data, link state time sequence data and equipment performance index data of multiple nodes of a target cluster to form a transmission link data set; semantic analysis is carried out on the coding parameter text data to obtain a coding semantic feature vector, dynamic fluctuation features are extracted from the link state time sequence data to obtain a link fluctuation feature vector, and cross-modal fusion is carried out to generate a fusion transmission feature set; generating an abnormal association degree score set by using a pre-trained multi-layer sensing network model, and obtaining an abnormal source node and an equipment defect type by combining root cause tracing according to the abnormal association degree score set; and finally, generating a dynamic optimization strategy and feeding back to the transmission control system to trigger parameter calibration. According to the method, the abnormal root cause can be accurately traced, the transmission parameters are optimized, and the cluster video stream transmission quality is improved.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention relates to a maintenance operation guiding method, system and equipment based on intelligent interaction, and the method comprises the steps: analyzing the operation intention of a user as at least one type of equipment dismounting, fault removal and knowledge retrieval, and generating a multi-mode guiding strategy; based on a multi-modal guiding strategy, coordinating and controlling a man-machine collaborative operation link; after one job is completed, multi-dimensional verification data is constructed, and when any one-dimensional verification data exceeds a corresponding knowledge graph threshold value, intervention work is activated; and generating a guiding efficiency file which is synchronously mapped with the operation link and comprises a multi-mode guiding strategy triggering log, user response behavior sensing data and a strategy adjustment utility evaluation graph, and binding the guiding efficiency file and the unique identification code of the maintenance object through an encrypted data link and storing the guiding efficiency file and the unique identification code in a preset database. According to the method, the talent cultivation period is remarkably shortened, meanwhile, the maintenance quality stability and the knowledge inheritance efficiency are synchronously improved, and reliable technical support is provided for equipment full-life-cycle management.

The invention discloses an enterprise data link management and value management method and system, and the method comprises the steps: carrying out the real-time capturing of multi-source heterogeneous data of all business systems in an enterprise through a distributed data collection engine, and recognizing the types of original data in different formats through a preset data source adapter; if structured data is detected, a relational database connector is adopted for extraction, and if the structured data is recognized as unstructured data, a document analysis module is started for content extraction, and an initial data set containing metadata tags is obtained; performing format conversion and field mapping on the initial data set according to a pre-established data standardization rule base, eliminating duplicate records and abnormal values through a data cleaning algorithm, performing automatic evaluation on a data quality grade by adopting a naive Bayes classifier, if a data quality score is lower than a preset threshold value, triggering a data recovery process, and if the data quality score is lower than the preset threshold value, performing data recovery. And standardized data meeting a unified standard is obtained. The normativity and value utilization efficiency of data management are effectively improved.

The invention relates to an aviation equipment manufacturing digital main line engine system supporting multi-source heterogeneous data access, and belongs to the technical field of aviation manufacturing data management. The system comprises a multi-source heterogeneous data access adaptation module, a data fusion processing module and a full-process data link construction module. The multi-source heterogeneous data access adaptation module passes through a data interface protocol and format conversion component; the data standardization and fusion processing module completes association fusion through an aviation heterogeneous data collaborative computing framework by means of an aviation manufacturing field data element standard library, a unified heterogeneous data model is generated, and the framework comprises a data fragmentation layer, a parallel node layer and a result aggregation layer; and the full-process data link construction module constructs a data link covering the full life cycle of the product based on a time sequence association algorithm and a product unique identifier mapping mechanism. The system can effectively solve the integration and management problems of multi-source heterogeneous data in aviation equipment manufacturing, and improves the data processing efficiency and the whole-process data tracing capability.

The invention discloses a data quality treatment method and system based on an AI Agent, and belongs to the technical field of artificial intelligence and data treatment. An initial data semantic distribution map is constructed, cross-dimension correlation feature factors are extracted, a multi-scale quality anomaly sensitive factor matrix is constructed, time sequence evolution weights are embedded, and a dynamic feature evolution trajectory is formed; performing perception modeling on the evolution trajectory by using an AI Agent, generating a multi-level quality risk thermodynamic diagram, extracting a deviation dense region and constructing an anomaly propagation path set; in combination with upstream and downstream data links and task flow information, calculating a potential impact factor weight, constructing a causal traceability map, and injecting a correction strategy label for a key field node; the AI Agent autonomously selects an adaptive strategy combination according to the target data segment, and performs online intervention on the target data segment; according to the method, closed-loop treatment of the data quality problem from perception and judgment to intervention and feedback is realized, and the method has the advantages of self-adaption, high interpretability and the like.

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 an optical data network (10-1) for connecting a plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). The optical data network (10-1) comprises: i) the plurality of data network nodes (N1-1, N2-1, N3-1, N4-1), the data (99) comprising data packets (99p), wherein each data network node (N1-1, N2-1, N3-1, N4-1) is provided with a network interface (Nl); and ii) a data connection network (100-1) comprising at least one data switch (SW) and a plurality of optical connections (50) for allowing establishment of data links (DL1, DL2) between pairs of said plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). At least one of the at least one data switch (SW) is a smart data switch (SSW) comprising at least one packet switch (PS, EPS) and at least one circuit switch (CS, OCS), At least two network interfaces are smart network interfaces (SN, SNC) comprising a data classifier (25) configured for classifying the data packets (99p) into at least two traffic classes including first traffic class (D1) and a second traffic class (D2) in accordance with a classification scheme. The smart data switch (SSW) and the network interfaces (SN, SNC) are configured to route the data packets (99p) of the first traffic class (D1) to the packet switch (PS, EPS) and to route the data packets (99p) of the second traffic class (D2) to the circuit switch (CS, OCS).

The invention relates to the technical field of unmanned aerial vehicle cooperative control, and discloses a multi-unmanned aerial vehicle cooperative control method based on data link networking. The method comprises the following steps of: constructing a cluster collaborative task data set comprising a flight path feature, a load state feature and a communication link feature; extracting dynamic cooperative nodes, including a cluster formation form switching node and a task target switching node, from the cluster formation form switching node and the task target switching node; generating a track cooperative trigger signal based on the dynamic cooperative node, and identifying a local topology adjustment node triggered by the formation form switching and a global topology reconstruction node triggered by the task target switching; generating a cooperative offset parameter containing a track offset and a communication delay offset according to the node classification; extracting cluster collaboration protocol parameters based on the collaboration offset parameters; and controlling the unmanned aerial vehicle cluster to execute a cooperative flight task according to the protocol parameters. The method can improve the cooperative efficiency and task adaptability of the unmanned aerial vehicle group in a dynamic environment, and is suitable for various multi-vehicle cooperative operation scenes.

The invention relates to the technical field of integrated circuit system-on-chip communication, and relates to a network-on-chip transmission method and device based on a dynamic parallel mechanism, and a medium. The method comprises the following steps: carrying out parallel transmission by adopting a control link and a data link which are separated; the control link and the data link are respectively provided with an independent packing module and an independent unpacking module; different transaction types are adapted through a dynamic message structure; dynamic subpackaging is carried out according to the data size during data link packaging; when the control link is unpacked, parameters are split through the Controldec module and are sent to the parameter receiving module; and when the data link is unpacked, the data link is controlled by a state machine, and the split data is transmitted into a data storage module. The invention aims to effectively reduce congestion, reduce power consumption and improve the transmission efficiency and the overall performance of the network on chip through parallel transmission architecture design, double-link parallel packet processing logic design and a composition structure of a dynamic message.

The invention relates to a UCIe-based data link test method and device, and a chip. The method comprises the steps that a local core particle obtains an eye pattern inspection result which is returned by a remote core particle and is associated with any data channel in a data link; according to the eye pattern inspection result and a preset eye pattern threshold interval parameter, determining whether the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; determining any data channel as a qualified channel under the condition that the eye pattern inspection result accords with an interval range allowed by the eye pattern threshold interval parameter; and under the condition that the eye pattern inspection result does not accord with the interval range allowed by the eye pattern threshold interval parameter, determining any data channel as an unqualified channel. According to the technical scheme, the available bandwidth of the data link can be improved, the stable communication rate of the data link can be ensured, the flexibility of configuration about link training can be improved, and the method and the device can be compatible with a related UCIe protocol.

The invention relates to the technical field of data visualization, in particular to an industrial internet-based data comprehensive treatment visualization application system, which comprises a node process extraction module, a data link organization module, a communication relation analysis module, an abnormal node treatment module and a comprehensive treatment display module. According to the method, the node sequence is set, the progressive trend is judged based on the time difference, the reverse nodes are screened out, the time sequence consistency is guaranteed, the node time interval continuity is checked in sequence, the node dependency relationship is dynamically modeled, the connection distortion risk is reduced, and the connection weak sections are screened; the method is advantaged in that connectivity abnormity identification efficiency is improved, node timestamp offset and dependence missing frequency are extracted, abnormity classification management is completed according to a standard production takt and a threshold value, abnormal node attribution is refined, traceability and treatment precision is improved, and industrial process data treatment depth, transparency and decision support capability are enhanced.

The invention provides a financial statement automatic generation method and system based on machine learning, and the method comprises the steps: carrying out the matching and conversion of semantics of different fields through employing an intelligent recognition technology according to a preliminary data format difference classification result, generating a standardized data structure set, and obtaining a unified field mapping relation; performing dynamic recombination on the cross-system business process by adopting a process tracking algorithm through a complete business data link, obtaining a time sequence relation and a data flow path of each business link, and obtaining a complete process tracking graph; key financial indexes and associated data of all links are obtained through the repaired process data set, and a data integration module is adopted for multi-dimensional summarization to obtain a preliminary financial data report framework; and through the final financial data content, obtaining a preset report template and an output rule, and generating a financial report output result conforming to a specification.

The invention discloses a data link transmission method for a memory, relates to the technical field of data transmission, and solves the technical problems of resource mismatching, transmission delay increase and throughput reduction caused by mixed transmission of large-capacity data and small-capacity data. Small-capacity data are matched with fast and slow channels according to requirements, the problem of mismatching of data and channel resources is solved, the channels are screened and sorted based on dynamic indexes such as channel real-time loads, transmission speed mean values and periodic bandwidth utilization rates, the data are distributed in combination with a load balancing principle, the channels are prevented from being overloaded or idle, the overall channel utilization rate is improved, and the data transmission efficiency is improved. Secondly, through link optimization of combined packaging, repeated data replacement and priority scheduling, the control overhead and repeated transmission quantity of small data are reduced; meanwhile, a cache mechanism is introduced to multiplex high-frequency data, invalid transmission is further reduced, and delay is reduced.

The invention provides a real-time fraud detection method and system based on multi-modal fusion, and belongs to the technical field of financial transaction fraud detection.The method comprises the steps that firstly, payment behaviors, transaction texts and account behavior data are connected in series through a transaction event unique identifier, and a real-time multi-modal transaction data link is formed; generating an inter-modal fraud association link based on the inter-modal fraud association link; performing interactive operation to obtain cross-modal fraud intermediate features; constructing a transaction fraud tendency path according to a transaction link time sequence; and finally, analyzing the transaction fraud tendency path to determine a fraud association level, generating a fraud response instruction containing a transaction blocking instruction and risk notification content, and transmitting the fraud response instruction to a transaction processing system to terminate the transaction, so that multi-modal data can be comprehensively integrated, a transaction time sequence is considered, and the fraud detection accuracy and real-time performance are improved.

The invention discloses an unmanned aerial vehicle group temporary communication network construction method based on visual self-organization. The method comprises the following steps: establishing an unmanned aerial vehicle node system and a security audit management system to realize flight control and message encryption exchange; airborne perception is realized through a visual candidate site identification system, and multi-modal data fusion and site scoring are carried out; domain autonomy and weighted election are realized by using a distributed voting and election system, and relay nodes are determined; scheduling, monitoring and self-adaptive reconstruction of a multi-hop path are completed based on a multi-hop relay and route maintenance system; and target detection, positioning and emergency document reporting are executed through the search and rescue positioning and situation return system. According to the method, voice and data links can be quickly recovered when ground communication facilities are damaged or unavailable, and under the condition of limited communication and energy, an unmanned aerial vehicle group can autonomously identify a safe position in a distributed manner and negotiate to establish a reliable multi-hop communication network, so that emergency rescue and positioning services are supported.

The invention provides a method for extracting complex electromagnetic interference sensitive parameters of a data link of an unmanned aerial vehicle and a related device, and the method comprises the steps: initializing an observation data set, observation data in the observation data set comprises an interference signal parameter group and a signal-to-interference ratio threshold which causes the unmanned aerial vehicle to lose lock of a data link under the electromagnetic interference of the interference signal parameter group; constructing a target function by taking the interference signal parameter group as an independent variable and taking signal-to-interference ratio threshold maximization as an optimization target, and constructing a proxy model of the target function by adopting a Gaussian process; inputting the interference signal parameter group in the current observation data set into the proxy model, and determining posterior characteristic parameters; constructing an acquisition function based on the posterior characteristic parameters, selecting an interference signal parameter group in the search space to carry out an electromagnetic interference experiment, determining a corresponding signal-to-interference ratio threshold value, and updating the current observation data set; the above process is repeated until the preset convergence condition is met, the electromagnetic sensitivity parameter combination can be obtained more quickly, and the manpower, material and time costs of the electromagnetic sensitivity test are reduced.

The invention provides a full-link data tracing processing method and system for a cross-border home supply chain, and relates to the technical field of supply chain management, and the method comprises the steps: 3, dividing a plurality of data unit sets which are correlated with each other based on the process data of the supply chain, determining a reference data unit set, and obtaining two groups of different data correlation rules; analyzing an interaction relationship between the two groups of data association rules, establishing a data state identification range, and selecting two data verification reference points in the data state identification range; and according to the evolution relationship of the data verification reference point on the time sequence, the evolution span is quantified by calculating the comprehensive distance between two points on the time and data feature dimensions, a data state evolution path is constructed to generate a data calibration coefficient, and a data link track comprising a timestamp and link information is formed. According to the invention, full-link data tracing of the cross-border home supply chain is realized, and the collaboration efficiency of each link of the supply chain is improved.

The invention relates to the technical field of industrial intelligent control, and discloses a multi-model collaborative optimization industrial MES intelligent control system. The system comprises a data analysis module, a knowledge enhancement module, a collaborative decision engine module, a decision fusion module and a control execution module. And the data analysis module executes tree structure-based data link analysis on the MES multi-source heterogeneous data, and constructs a production data tree structure with a multi-layer father-son relationship. And a knowledge enhancement module injects a domain knowledge template into each node of the structure to form a knowledge-enhanced production data graph structure. And the collaborative decision engine distributes the graph structure to a plurality of heterogeneous artificial intelligence models for parallel analysis through the unified service gateway. And the decision fusion module performs fusion processing based on confidence weighting on the output of each model to generate a comprehensive control decision instruction, and finally the control execution module drives the MES to complete production adjustment, equipment optimization and material scheduling. According to the system, the accuracy, the real-time performance and the interpretability of industrial intelligent decision making are improved.

The invention provides a forest fire fighting and rescue fire scene low-altitude meteorological monitoring service system and method. The system comprises a forest fire scene meteorological environment monitoring system, a data fusion analysis system and a data distribution service system. The forest fire scene meteorological environment monitoring system comprises an air-ground collaborative meteorological observation system and a forest fire scene space information remote sensing system, and is used for acquiring low-altitude meteorological environment, vegetation and terrain situation information in a forest fire scene boundary layer; the data fusion analysis system is used for observation data space-time normalization processing, observation data space-time scale expansion, three-dimensional fire scene situation construction based on terrain situation information, meteorological data fusion analysis and information visualization display; and the data distribution service system comprises a data link and data distribution service software and is used for distributing data of the forest fire scene meteorological environment monitoring system and the data fusion analysis system to different forest fire fighting rescue forces and hardware terminals. The overall efficiency and safety of forest fire scene fighting work can be effectively improved.

This application describes a network-on-chip system that could be used in a hardware accelerator for accelerating neural network computations. An example NoC system may include a plurality of cores, and a plurality of data links connecting adjacent cores of the plurality of cores for transmitting data. The example NoC may further include a global synchronization switch connected to each of the plurality of cores. The global synchronization switch is configured to dynamically connect any pair of cores in the plurality of cores for transmitting control signals between the pair of cores.

The invention discloses a data link breakage data processing method, which aims at the problem of loss of return load information caused by instability of a data link in a flight platform, periodically detects a link communication state in real time, and stores received information in a memory in a classified manner when the link is interrupted. After the link is recovered, the information stored in the memory and the real-time data are respectively transmitted back to the ground according to the importance degree, so that the load information in the link breaking process is quickly retransmitted under the condition that no additional hardware device is added to the data link, the integrity of the transmitted back load information is ensured, and the problem of information loss in the traditional data link breaking period is solved.

The invention relates to the technical field of unmanned aerial vehicle application, and discloses a multi-degree-of-freedom dynamic light field system based on an unmanned aerial vehicle, a cooperative control method of the multi-degree-of-freedom dynamic light field system and a dynamic light field device. The ground control station is used for editing programs and sending instructions; the unmanned aerial vehicle group is composed of a plurality of unmanned aerial vehicles carrying the dynamic light field devices; the communication unit is used for establishing a data link between the ground control station and the unmanned aerial vehicle group; and the main controller on each unmanned aerial vehicle sends cooperative control signals to the flight control system, the first driving mechanism and the second driving mechanism of the unmanned aerial vehicle. Through the synergistic effect of the first driving mechanism and the second driving mechanism, the rotation of the rotating drum in the vertical direction can be controlled, and meanwhile, the rotation of each ball head assembly in the horizontal direction can also be controlled, so that irradiation of each laser module in different azimuth angles within a certain angle range can be realized, and the display effect of the unmanned aerial vehicle group light curtain is improved.

The invention relates to the technical field of server testing equipment, and discloses a controllable device applied to server backboard testing and a control method thereof.The controllable device comprises a master device and at least one slave device, the master device is connected with the slave device through an FPC flexible circuit board, the master device is used for receiving a testing instruction, and the slave device is used for receiving the testing instruction; and a control instruction is sent to the slave device according to the test instruction, and the slave device is used for executing the control instruction to realize connection and disconnection of the data link. The slave device is embedded into the data link based on the SAS protocol, link on-off is achieved through electronic control, traditional manual insertion and extraction operation is replaced, manual intervention is reduced, and full-process automatic testing is achieved. The device not only improves the test efficiency, but also avoids mechanical wear of interfaces such as SFF-8643, Slimline x4 and the like caused by physical plugging and unplugging, and avoids the risk of damage caused by low positioning precision of traditional equipment at the same time.

The invention provides a multi-source heterogeneous data integrated management method based on a digital main line, a medium and a system, and belongs to the technical field of industrial digital main lines. A digital main line platform is used for collecting data of various formats and conducting standardization processing, a deep ontology fusion model is adopted for achieving cross-domain semantic understanding, and the data of various formats is obtained. Semantic understanding efficiency is improved through adaptive pooling feature dimensionality reduction and separable attention calculation, a storage space is optimized by adopting similarity aggregation de-duplication or a distributed independent storage strategy according to a data overlap ratio, and a digital principal line data consanguinity tracing relation is established to realize full-life-cycle data link construction. Based on the semantic mapping deviation value, a fine fine tuning or coarse tuning mode is adopted to optimize semantic understanding parameters, longitudinal integrated mapping from a function model to a performance model and a physical model and a transverse integrated framework of multi-domain comprehensive simulation are constructed, and the technical problem that cross-domain model semantic understanding accuracy is insufficient is solved.

The invention discloses a chemical industry park safety risk monitoring system and method based on the Internet of Things, and the system comprises a node data obtaining unit which is used for receiving node output data correspondingly monitored by a monitor in the range of a chemical industry park, and the installation address information corresponding to a node; the node link monitoring unit is used for forming a plurality of data links according to the nodes and the Internet of Things terminal, and dividing the data links into a plurality of node link sub-regions according to directions; the risk searching unit is used for searching the highest risk data chain in each node link sub-region, comparing the highest risk data chains obtained in all the node link sub-regions, and preferentially processing the highest risk data chain of the first priority; and the early warning processing unit is used for triggering early warning information according to the current situation of the highest risk data chain of the first priority and formulating an optimization strategy, and is used for solving the technical problem that an accident source cannot be quickly and accurately determined when an existing platform obtains workshop or equipment accident occurrence information.

The invention relates to the field of low-altitude safety prevention and control, and provides an unmanned aerial vehicle collaborative interception method and device and a storage medium. The method comprises the following steps: scanning by a ground monitoring command and control subsystem to detect an invading target unmanned aerial vehicle; after the target unmanned aerial vehicle is detected, the target unmanned aerial vehicle is aligned for re-checking identification, and information of the target unmanned aerial vehicle is solved in real time after successful identification; the ground monitoring command and control subsystem generates an interception instruction based on the calculated target unmanned aerial vehicle information and a preset threat evaluation rule; issuing the interception instruction together with target unmanned aerial vehicle information updated in real time through an encrypted data link; the air interception subsystem flies to a predicted encountering point after receiving an interception instruction and target unmanned aerial vehicle information; and when the distance with the target unmanned aerial vehicle is smaller than a preset threshold value, activating an airborne dual-light fusion AI visual guidance system to lock the target unmanned aerial vehicle, and executing a corresponding tail end disposal operation according to a disposal mode specified in the interception instruction.

The invention relates to the technical field of wireless communication, in particular to a low-frequency special data link communication system fusing a central networking and an ad hoc network. According to the technical scheme, the system comprises a central networking communication module, an ad hoc network communication module, a special data link module, a low-frequency communication optimization module, a clock synchronization module and a fault self-healing module. Through dynamic cooperation of the central networking and the ad hoc network, low-frequency signal special optimization, industry customization of a special data link and multi-module cooperation of precise clock synchronization and efficient fault self-healing, the problems of incomplete communication coverage, easy transmission interruption, poor industry adaptability and high information security risk in a complex environment are solved; the system is large in communication coverage range, stable in operation and accurately adaptive to different industry scenes, meanwhile, the real-time performance and safety of data transmission are guaranteed, the scene requirements of emergency rescue, industrial control monitoring, remote area communication guarantee and the like are met, and the stability and reliability of communication are effectively improved.