283 results about "Network recovery" patented technology

The invention relates to a data hierarchical caching and intelligent continuous transmission method and device in an off-network environment, and the method comprises the steps: obtaining to-be-transmitted data, carrying out the hierarchical evaluation based on the importance degree and timeliness of the data, and obtaining a corresponding priority data group; monitoring a network bandwidth state in real time, recording an interruption moment and triggering a hierarchical cache mechanism when network interruption is detected, and setting a corresponding storage area; distributing the priority data group to a corresponding storage area for caching to obtain a final cache area; when network recovery is detected, intelligent continuous transmission is performed on the priority data set according to the cache region, and a continuous transmission report is generated; detecting a network bandwidth state in real time, performing dynamic continuous transmission adjustment on the priority data set, and marking the priority data set after continuous transmission is completed to obtain a marked data set; and performing integrity verification on the marked data group, and generating a transmission state report in combination with the continuous transmission report. The method can adapt to different network environments and data transmission requirements.

Systems, methods, and computer-readable storage media for providing a decentralized network. One method includes generating a plurality of tokens comprising cyber resilience data and assigning a plurality of unique identifiers to the plurality of tokens, at least one unique identifier of the plurality of unique identifiers corresponding with at least one token of the plurality of tokens, the at least one token corresponding with one or more access rights for accessing the cyber resilience data. The method includes broadcasting the at least one unique identifier to a data storage, receiving a request for the cyber resilience data of the at least one token, verifying the request based on one or more access controls of the decentralized cyber identity and the one or more access rights, and accessing the cyber resilience data corresponding with the at least one token via the at least one unique identifier.

The invention relates to the technical field of medical informatics, and discloses an intestinal flora associated disease risk prediction system based on multi-data set difference mutual identification, and the system comprises the steps: capturing the dynamic evolution characteristics of a network through constructing a species-genus-phylum three-level microbial interaction network, and employing a time sequence diagram convolution network; and designing a network disturbance experiment, introducing a network recovery force index to quantify the network recovery capability, constructing a network vulnerability map to identify key nodes and analyze a disturbance propagation path, and integrating stable and consistent network toughness characteristics in multiple data sets to establish an early warning mechanism. By means of the method, early and accurate early warning of disease risks is achieved, and a key time window is provided for clinical intervention.

The invention relates to the technical field of mobile communication networks, and discloses a network recovery method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring a network operation parameter of a current network node; analyzing the network operation parameters, and judging whether the current network node has a network fault or not based on an analysis result; if the analysis result represents that the current network node has the network fault, determining target fault information of the network fault; determining a target recovery strategy corresponding to the target fault information according to a mapping relation between the fault information and a network recovery strategy; and performing network recovery on the current network node according to the target recovery strategy. By implementing the technical scheme of the invention, multi-dimensional real-time fault detection and intelligent automatic recovery of the network can be realized, the fault response time is remarkably shortened, the stability and service continuity of network communication are improved, and the operation and maintenance cost and the manual intervention requirement are reduced at the same time.

The invention provides a production line scheduling method and equipment fusing edge computing and machine learning, and belongs to the technical field of production line scheduling, and the method comprises the steps: deploying edge nodes in an industrial production line, and carrying out the life cycle management and control of state monitoring, task issuing, resource configuration and version management on the edge nodes by a cloud; the edge nodes collect production line data in real time; constructing a scheduling model at the cloud, and issuing the scheduling model to the edge node; outputting execution task priority judgment and path and resource optimization in combination with the scheduling model, generating a scheduling instruction, and issuing the scheduling instruction to a field control system to execute task scheduling; recording all scheduling processes and state changes, and synchronizing to the cloud after the network is recovered; according to the invention, the analysis rule and the model parameters can be adjusted according to the actual working condition and the monitoring scene of the equipment, accurate description and abnormal early warning of the operation state of the equipment are realized, and the efficiency, the accuracy and the adaptability of equipment monitoring in the industrial Internet of Things environment are effectively improved.

The invention discloses an ultrasonic image off-line acquisition and dynamic synchronous processing method and system, which realizes off-line acquisition and dynamic synchronous processing of an ultrasonic image under the condition of network interruption through six functional modules, namely a network state monitoring module, an online data synchronization module, an image acquisition processing module, an off-line mode switching module, an off-line diagnosis processing module and an increment synchronization module. The method comprises the following steps: acquiring network connection state data and judging a working mode; pulling and caching tasks and template data in an online state; obtaining multi-modal image data and performing double-writing storage; detecting network interruption and switching to an offline mode; performing AI analysis on the images acquired offline and generating a report; and detecting network recovery and executing incremental data synchronization. According to the invention, the problem of service interruption caused by dependence of a traditional PACS system on a network is solved, the network adaptability and robustness of the system are improved, the operation and maintenance cost is reduced, and the system fault recovery time is shortened.

The invention discloses a recovery strategy generation method and device suitable for fault first-aid repair, terminal equipment and a storage medium, and constructs a first-aid repair scheduling model used for measuring fault first-aid repair efficiency and a communication recovery scheduling model used for measuring communication network recovery speed. Therefore, the first-aid repair capability of the construction team, the power supply capability of the power supply and the recovery demand of the power distribution network path can be comprehensively considered, comprehensive cooperative scheduling of first-aid repair resources such as the construction team and the mobile power supply is realized, and the utilization efficiency of the first-aid repair resources is improved. Fault repair and recovery of the communication network are fully considered, the state of the router can be adjusted in time, and a switch can operate normally, so that the situation that recovery of the power distribution network is limited due to communication problems is avoided; according to the invention, the finally generated target recovery strategy can reduce the load loss of the power distribution network to the greatest extent in the first-aid repair process, so that the power supply can be quickly recovered, and the stable operation of the power system and the normal power supply of the user are ensured.

The invention discloses a bidirectional grid-connected control system for a small-power energy storage inverter, and relates to the technical field of inverter grid-connected control. Aiming at the needs of the small-power energy storage inverter in a restricted scattering environment, a communication and control scheme is proposed, a channel attenuation matrix and an interference feature list are generated by measuring point layout and a multi-factor attenuation function, and a channel environment model is formed by nonlinear fitting; a multi-node multi-band communication topology is constructed and feasible routes are screened, the optimal or alternative combination is dynamically solved and the network topology configuration is output; multi-dimensional scoring and multi-path capacity allocation are performed on data streams with different sensitivities, and high-priority data is preferentially scheduled to a better route; when the network abnormality cannot be restored, the local buffering and offline control algorithm can calculate the inverter operating parameters based on the cached data and perform load reduction protection, and smoothly switch back to the online mode after the network is restored, so as to ensure that the energy storage inverter is still safe and controllable in the disconnected state.

The invention discloses a modularized intelligent identification and configuration system for a portable Internet of Things electric energy metering box, and relates to the technical field of Internet of Things. Electric energy data are collected in real time through an integrated sensor network, and are cleaned, compressed and preliminarily filtered by a data processing module; a deep learning algorithm is adopted to perform feature extraction and abnormal power consumption behavior detection on the data, and rapid response is ensured; a graphical operation interface is provided through the user interface module, and a user is allowed to update configuration immediately according to requirements; the link state is monitored through the LACP, the optimal link is automatically selected, and stable data transmission is ensured; temporarily storing data through a local cache and backup module when the network fluctuates, and automatically synchronizing the data to the cloud after the network is recovered; the system load is monitored through the self-adaptive optimization module, resource allocation is dynamically adjusted, and efficient and stable operation of the system is guaranteed; the data processing speed of the metering box equipment of the electric power internet of things is greatly improved, and the flexibility and the stability are enhanced.

The invention discloses an intelligent traditional Chinese medicine decoction control method based on the Internet of Things and a storage medium, and relates to the technical field of traditional Chinese medicine preparation equipment and process control. A target state vector is generated through a prediction model deployed on a terminal side, and a benchmark reference is provided for off-line control; the fine adjustment of decoction parameters is realized by controlling an increment mapping function, and the stability of the control process is ensured by a rate limitation and amplitude saturation mechanism; due to introduction of the safety boundary condition, abnormal working conditions such as pressure overrun and too low liquid level are effectively prevented; after the network is recovered, an incremental training mechanism of differential privacy protection is adopted, so that off-line data is fully utilized, and the risk of privacy disclosure is avoided; a dynamic weight distribution strategy in cloud federation aggregation ensures the leading effect of high-quality data on model optimization, and a multi-stage verification mechanism ensures the reliability of model updating.

The invention relates to the technical field of power supply services, in particular to a method and system for monitoring the business expansion process of a power supply enterprise in real time. The mobile terminal collects field data, and the edge data server generates a feature sequence to be subjected to compliance comparison; and the rule fusion container fuses the rule base and the historical problem base to generate compliance data. On the basis of field standardized mapping and version abstracts, existence, applicability, consistency and validity period verification is executed on the forced / recommended attributes, and compliance, element missing or non-compliance items are output; and generating positioning information for the non-conformity items, including an informatization problem identifier of a version and a rectification suggestion, converting the positioning information into a work order with a time limit, caching the work order in a weak network, and performing reconciliation and bidirectional verification with a central server after the network is recovered. And the nodes finish event triggering compliance record uploading, and the center summarizes and archives to form process-level compliance. According to the scheme, rule upgrading controllability, evidence chain traceability and process compliance closed loop are realized, and accuracy and efficiency are improved.

The invention provides a vehicle access method and system for abnormal parking lot network, and is applied to the field of data processing. According to the invention, under the condition of network abnormity, the local off-line terminal and the preset rule are utilized to ensure that the vehicle can still enter and exit the parking lot normally, the situation that the gate cannot be operated due to network problems is avoided by collecting the optical signal data and recording the path movement information in real time, and meanwhile, under the condition of network abnormity, the vehicle can enter and exit the parking lot normally. Parking fees can be calculated on the basis of locally collected optical signal data, fee information is generated through the offline terminal and sent to the user mobile terminal, the offline payment function is achieved, the problem that charging cannot be carried out when the vehicle leaves the parking lot when the network is disconnected is effectively solved, the optical signal data and vehicle path information are locally recorded in real time, and even after the network is recovered, the charging efficiency is greatly improved. The data can still be synchronized with the cloud, so that the data integrity is ensured, and loss or mistakes and omissions caused by network interruption are avoided.

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

Example embodiments of the invention provide at least a method and apparatus to perform at least identifying, by a user equipment of a communication network, a beam failure occurred over at least one dormant bandwidth part for communication with at least one secondary cell of the communication network; and based on the identifying, determining to report the beam failure to the communication network for beam failure recovery by the communication network.

The invention relates to the technical field of low-power-consumption data acquisition and transmission, in particular to an NB-IoT network-oriented low-power-consumption data acquisition and transmission system and a medium, and the system comprises a network initialization unit which is used for deploying a data acquisition terminal in a signal attenuation area and defaulting the data acquisition terminal as a working node after power-on; the ferry node election unit is used for acquiring the signal quality score and the residual energy score of the current battery, and calculating a comprehensive score by combining the energy consumption attenuation value; switching the terminal with the highest comprehensive score to a ferry node; the hierarchical data acquisition unit is used for awakening the working node based on a preset awakening strategy, acquiring equipment reading data, sending the equipment reading data to the ferry node, entering a transient monitoring state, and entering a deep dormant state after receiving a receiving confirmation signal of the ferry node; the network interruption data temporary storage and reissuing unit is used for compressing and storing the to-be-transmitted data when the ferry node fails in network connection in the optimal transmission time window; once the network is recovered to be available, resending transmission is performed.

The invention relates to an inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, and discloses an inventory data synchronization and consistency verification system which realizes continuous recording of inventory operation during a network disconnection period through network state detection and local cache, performs batch transmission after network recovery through a synchronous uploading and verification mechanism, and ensures data integrity. According to the inventory data synchronization and consistency verification system supporting network disconnection fault tolerance, data conflicts are automatically solved through a conflict detection and strategy processing module, a difference report is generated through consistency verification, and secondary synchronization is executed, so that safe synchronization and final consistency guarantee of inventory data are achieved, and it is ensured that the service process is continuous and stable. The system is characterized by comprising a network state detection module, a local cache module, a transaction log management module, a synchronous uploading module, a conflict detection module, a conflict resolution strategy module, a consistency verification module and an abnormity alarm and manual intervention interface module.

The invention discloses an alarm event processing method, a transmission system, a processing device, a medium and a product, and relates to the technical field of servers. A management controller is divided into a volatile storage area and a non-volatile storage area which belong to the management controller in advance, so that an efficient caching strategy of a mixed storage area is realized, and the loss of an alarm event when a network is interrupted is completely eradicated. And when the network is recovered, obtaining the target alarm event from the memory area, and transmitting the target alarm event to a remote server. In the process, a returned alarm event fingerprint list needs to be received, so that repeated transmission is avoided through recording of a unique fingerprint identifier. If the target alarm event does not exist in the sending queue, the target alarm event needs to be sent again, so that missing sending of the target alarm event is prevented, recovery transmission of the alarm event under the condition of network recovery is achieved, it is guaranteed that the remote server can completely receive the alarm event, and the fault diagnosis capacity of the remote server is improved.

The invention relates to the technical field of intelligent optimization, in particular to a network anti-fiber-breakage protection planning method based on offline learning and improved MCTS, and the method comprises the steps: solving a preset multi-target optimization model of network anti-fiber-breakage protection planning through employing a preset multi-mode multi-target optimization algorithm, obtaining at least one optimal standby path corresponding to each service; learning a topological structure and link weight information of each optimal standby path; and when a link fault exists, dynamically searching a target recovery path of the current damaged service according to the topological structure and link weight information of at least one optimal standby path corresponding to the current damaged service in all services based on a preset improved Monte Carlo tree search algorithm, and outputting the target recovery path. Therefore, the problems of poor timeliness and low service recovery rate in the existing optical network recovery technology are solved, and the performance and efficiency of network fiber breakage resistance protection planning are effectively improved by comprehensively optimizing the shortest recovery time and the maximum service recovery rate.

The invention discloses a metering inspection platform and method, and the method comprises the following steps: carrying out the extraction of communication parameters and function information of metering equipment, building a unified data model, distributing a unique identifier, and achieving the automatic access of different types of equipment. The platform automatically generates an adaptive inspection flow path according to equipment functions and inspection requirements, can temporarily cache and collect data when a network is abnormal in a flow execution process, and adds a timestamp and verification information to the data. And after the network is recovered, the system compares and verifies the cached data, updates the process state after ensuring the data consistency, records and archives the effective data, and generates a traceable record entry. According to the invention, the access flexibility of the metering equipment is improved, and automatic construction of a process and reliable transmission and storage of data are supported.

The invention discloses a control method and device of a cancel-after-verification system and a storage medium, and belongs to the technical field of cancel-after-verification systems. The method comprises the steps that after an offline cancel-after-verification action is triggered, a cancel-after-verification task is generated based on cancel-after-verification information and first cancel-after-verification card information in a local database, the cancel-after-verification task is decomposed into at least two cancel-after-verification subtasks, time sequence information of the cancel-after-verification subtasks is constructed based on execution time corresponding to the cancel-after-verification subtasks, and after it is detected that a network is recovered, the cancel-after-verification task is executed. And based on the time sequence information, executing a replay action of the cancel-after-verification task on the cloud database so as to synchronize the first cancel-after-verification card information and second cancel-after-verification card information in the cloud database. According to the method, the verification states of the local database and the cloud database are synchronized step by step according to the original time sequence of the offline operation, so that the continuity of the verification service is ensured, the problem of state conflict or data inconsistency possibly caused by direct data coverage is avoided, and the reliability and user experience of the verification system in a complex network environment are improved.

The invention belongs to the technical field of bidding business informatization, and provides an Office plug-in-oriented offline-online mixed bidding document intelligent editing and auditing system, which comprises a localized plug-in module, a bidding document editing module, a bidding document editing module, a bidding document editing module, a bidding document editing module, a bidding document editing module and a bidding document editing module, the content generation module converts the bid invitation terms into knowledge base query statements and generates a dynamic filling template; the double-model verification module carries out format and semantic double review through cooperation of a local lightweight model and a cloud large model; the offline data security module supports writing of a bidding document in an offline state, temporarily stores sensitive data in the bidding document into a local encryption sandbox, and performs data synchronization after network recovery; the version comparison module tracks a DOM node change path between bidding document versions and generates a difference report of bidding documents of different versions; through deep integration of offline operation and online collaboration and based on localized operation support of the Office plug-in, a user can edit the bidding document in real time in a network-free environment, and the method adapts to the flexibility requirement of a bidding scene.

The invention discloses a road berth charging and control system for realizing multi-level fault tolerance and a method thereof, and belongs to the technical field of intelligent traffic systems and Internet of Things. The system adopts an edge computing and distributed sensing collaborative architecture, and is composed of an edge controller (ECU) and a sensing and control unit (SCU) deployed in a berth. High availability of the system is ensured through fault-tolerant design of three core dimensions: firstly, perception layer fault tolerance dynamically adjusts data fusion weights of geomagnetism, millimeter wave radar and visual AI according to real-time environment data such as rainfall and electromagnetic interference by integrating an environment perception sub-module; secondly, network layer fault tolerance utilizes an immutable transaction log and a Saga distributed transaction compensation mechanism to realize local charging and digital RMB double offline payment when cloud connection is interrupted, and data consistency is ensured after network recovery; and finally, a hardware layer establishes a neighborhood cooperation protocol based on a signature agent command through fault tolerance, and a healthy node is allowed to act as an agent fault node through safety verification to execute an unlocking instruction. According to the invention, the problems of environmental interference, network interruption, single-point hardware failure and the like in unattended parking management are effectively solved, and the robustness and financial security of the system are remarkably improved.

The present invention discloses a remote operation and maintenance management system for a power distribution station, which relates to the technical field of power distribution station operation and maintenance, and comprises: an information module, wherein the information module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit is used to acquire operating parameter data of the power distribution station, and the data transmission unit is used to convert the operating parameter data of the data acquisition unit into an electrical signal and transmit the signal; the specific working mode of the data transmission unit comprises: first deploying sensors and image acquisition equipment; being able to automatically cache key data when the network is unstable, and retransmit it after the network is restored to ensure data integrity; utilizing real-time monitoring and local data analysis to timely warn of anomalies and reduce safety hazards; improving the accuracy and reliability of remote control through intelligent emergency response and delay compensation mechanisms; optimizing maintenance plans through intelligent evaluation and maintenance prompts, and reducing the workload of maintenance personnel and the number of on-site maintenance times.

The invention discloses a train multi-mode wireless access terminal and a multi-path data transmission scheduling method. The train multi-mode wireless access terminal integrates multi-system communication modules such as LTE-M, Wi-Fi, 5G, GSM-R and the like, configures various priorities for data through the main control unit, allocates default and standby bearer networks, and dynamically monitors network connection quality parameters to judge transmissibility, trigger switching logic and regulate and control QoS (Quality of Service) levels. The multi-path data transmission scheduling method comprises the steps of configuring a data priority and a network, monitoring a network state, executing transmission control based on the priority, and switching back to transmission after a default network is recovered. According to the invention, the problems of complex deployment, low flexibility and low reliability of a wireless communication module of an existing rail transit vehicle are effectively solved, and high-reliability and flexible data transmission and interconnection and intercommunication with a railway system in a multi-network environment are realized.

The invention relates to the technical field of network communication, and discloses a cache processing method and device of a gateway router and network device.The method comprises the steps that front-end equipment temporarily stores data in local storage after a user submits the data, the front-end equipment and the gateway router continuously temporarily store the data in the network interruption period, and when network recovery is detected, the front-end equipment and the gateway router continuously store the data in the local storage period; the data uploading logic is automatically triggered, the front-end equipment sends the temporarily stored data to the gateway router, and after the data is successfully uploaded to the server, the front-end equipment and the gateway router automatically clean the temporarily stored data; the device comprises front-end equipment, a gateway router, a server and a data cleaning module, the network equipment comprises a processor and a memory which is in communication connection with the processor, wherein a computer program which can be executed by the processor is stored in the memory. By adopting the technical scheme of dynamic bandwidth regulation and control and data transmission rate adjustment, the technical effect of optimizing the data transmission rate in real time according to the network state is achieved.

The invention belongs to the technical field of power distribution network fault diagnosis, and particularly relates to a power distribution network primary and secondary equipment cooperative fault diagnosis method, which comprises the following steps: constructing a bidirectional association training data set, and carrying out tetrad space-time labeling on primary and secondary equipment data; a synchronous acquisition device is adopted to synchronously acquire real-time data and preprocess the real-time data, bidirectional anomaly detection is performed, and a threshold value is dynamically adjusted in combination with distribution network topology and meteorological conditions; a bidirectional cross validation mechanism is designed, primary abnormity needs secondary state quantity matching evidence, secondary abnormity needs primary physical quantity real feature support, and accurate judgment of fault types is ensured; based on a cloud edge-end collaborative architecture, an edge node quickly isolates a fault, and a cloud digital twin model generates a whole-network recovery strategy. Through multi-source data fusion, dynamic adaptive detection and efficient collaborative decision making, the fault diagnosis accuracy and processing efficiency under complex working conditions are improved, the method is suitable for a modern power distribution network containing a high-proportion distributed power supply, and key technical support is provided for intelligent operation and maintenance of the power distribution network.

The invention discloses a method for detecting the quality of a wireless network based on airplay screen projection. The method comprises the following steps: starting a receiving thread, wherein the receiving thread is used for receiving a tcp data stream returned from a network card; starting a heartbeat detection thread; the heartbeat detection thread is used for providing accurate timing for the system and performing network jitter algorithm operation on a timestamp of a received heartbeat packet; and judging the calculated jitter value, if the jitter value is greater than a set threshold value, reporting that the network is abnormal, and if the jitter value is smaller than the set threshold value, reporting that the network is recovered. According to the invention, through the cooperation of the receiving thread and the heartbeat detection thread, the system can monitor the state of the network in real time and timely discover network fluctuation and abnormal conditions, and when the network jitter value exceeds the set threshold value, the system can rapidly report the network abnormity. And when the network jitter value is recovered to a normal range, the system can report a network recovery state to help a user to know the network condition.

The invention relates to a networking method and device in the moving process of target equipment. The method comprises the steps that the equipment signal state, multiple pieces of position data and network data matched with each piece of position data of the target equipment in the moving process are collected in real time; processing the equipment signal state, the plurality of pieces of position data and network data matched with each piece of position data through a pre-trained target generation model, and obtaining optimal network data matched with the next position data when predicting that the next position of the target equipment in the moving route has network abnormity; and transmitting the optimal network data to the target device, so that the target device adopts the optimal network data to perform networking. The time consumption of network recovery can be shortened.

According to the face recognition access control terminal offline method and system, a VIP list, permission rules, courses and reservation data are locally stored in an access control terminal, permission verification can still be executed autonomously when the network is disconnected, and it is guaranteed that the access control function is continuously available; the server synchronizes data by adopting a timed task and real-time triggering dual mode, and the changed content is automatically and complementarily transmitted after the network is recovered during the network disconnection period, so that the consistency of the terminal strategy and the server is ensured; differential verification logics of an administrator, a teacher and a student are combined, and VIP permission, a laboratory range, a course period and appointment auditing are fused, so that the risk of misjudgment is reduced; normal passing requirements are still met during network interruption, waiting or congestion caused by network interruption is avoided, the management efficiency is improved, and different laboratory scene requirements are met.

The invention discloses a data acquisition interaction method of an electric energy meter data terminal. The data acquisition interaction method comprises the steps of instruction awakening and parameter initialization, dynamic sampling of environment perception, anomaly detection driven by spatial-temporal characteristics, multi-path quantum-classical hybrid encryption transmission and feedback retransmission and cache synchronization. According to the method, the sampling frequency is dynamically adjusted by fusing power load and environmental fluctuation data, a Mixer-Transform architecture is adopted to extract spatial-temporal characteristics, an abnormal threshold is updated in combination with EWMA, quantum or national secret encryption is selected according to a path quality score, fragmented parallel transmission is carried out, and hierarchical cache synchronization is carried out according to data timeliness. According to the method, the sudden change response speed is increased, the abnormal false alarm rate and the transmission packet loss rate are reduced, the data synchronization delay after network recovery is reduced, and the method is suitable for accurate acquisition and secure transmission of electric energy data in a complex environment.