205 results about "Network recovery" patented technology

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 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 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.

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 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 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 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 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.

The invention discloses a data synchronization method and device, electronic equipment and a readable storage medium, and the method comprises the steps: determining a network connection state between gateway equipment and a cloud server according to the network performance indexes of the gateway equipment at a plurality of moments; under the condition that the network connection state is disconnected, first operation data generated by all terminal devices connected with the gateway device are structured and stored in a classified mode; when the network connection state is recovered to connection, the priority of each terminal device is determined based on the multi-dimensional factor, and the first operation data of each terminal device and the second operation data stored in the cloud server are synchronized in sequence according to the priority, so that the integrity of the data on the terminal device during the network disconnection period is ensured, and after the network is recovered, the network connection state of the terminal device is ensured. And consistency of cloud data and local data.

The invention provides an Internet of Vehicles redundant data supplementary transmission method and system based on dynamic priority scheduling, and relates to the technical field of new energy vehicle Internet of Vehicles. The method comprises the following steps: acquiring multi-mode vehicle state time sequence data; analyzing the multi-modal vehicle state time sequence data through an early warning prediction model, and predicting the early warning probability of the data; determining a multi-modal data supplementary transmission priority based on the timeliness, the data volume and the early warning probability of the multi-modal data; performing hierarchical compression processing on different types of data based on the multi-modal data supplementary transmission priority to obtain compressed data; and storing the compressed data into the emergency cache region and / or the main storage region according to a preset rule, and carrying out supplementary transmission according to the supplementary transmission priority after the network is recovered. The method and the device are used in the process of complementary transmission of redundant data of the Internet of Vehicles based on dynamic priority scheduling, and solve the technical problems of high redundancy overhead and low complementary transmission efficiency of vehicle-mounted complementary transmission data in the prior art.

The invention relates to the technical field of smart power grid dispatching and communication network recovery, and provides a post-disaster power communication network collaborative recovery system and method, and the system comprises a power network model which is used for distributing power supply resources to each node with the purpose of recovering the power supply of power network nodes in a target region within the shortest time; the line repair model is used for realizing joint optimization of power network topology reconstruction and power recovery of a target area by taking the electric vehicle as a load supply and mobile repair unit and coordinating path planning and resource allocation of the electric vehicle; the electric vehicle path planning model is used for enabling the electric vehicle to quickly repair a power network within a limited time by optimizing a moving path of the electric vehicle by taking the maximum recovery of power supply of a target area as a target; the unmanned aerial vehicle deployment communication network recovery model is used for deploying the unmanned aerial vehicle as a temporary air base station while recovering power supply of base station nodes by taking recovery of a communication network in the shortest time as a target and combining cooperative work of the electric vehicle and the unmanned aerial vehicle; the optimal scheme solving unit is provided with a layered multi-objective optimization problem which takes maximization of the total duration of power communication coverage as an objective function under the condition of minimizing the recovery time of the power communication network, and is used for solving the layered multi-objective optimization problem in real time under the constraint of the model to obtain a real-time optimal scheme of power communication network recovery.

The invention relates to the field of vehicle intelligent networking, in particular to a vehicle network connection method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a communication condition between a vehicle and a base station; analyzing whether the communication condition meets a network switching condition; if the network switching condition is met, the vehicle is controlled to be connected to a mobile network of a target terminal, the network state of the vehicle is detected, and the target terminal is the mobile terminal associated with the vehicle; and if the network state is an abnormal state, corresponding network recovery operation is executed based on the network deployment condition of the environment where the vehicle is located. According to the embodiment of the invention, omnibearing network connection is realized for the vehicle network by using the mobile network of the target terminal and the network deployment condition of the environment where the vehicle is located, so that the vehicle can normally perform various recreational activities even in an area with poor network signals, the smoothness of the mobile network is ensured, and the vehicle use experience of a user is improved.

The invention provides a network switching method, terminal equipment and a computer readable storage medium. The method and the device relate to the technical field of communication and are used for solving the problem that terminal equipment cannot recover connection with a high-standard network for a long time. The method comprises the following steps: when the terminal equipment is in a first network coverage area but does not reside in a first communication network, judging whether the terminal equipment currently reside in a second communication network, and if the terminal equipment does not reside in the second communication network, initiating frequency point search for the second communication network. Based on the method, the terminal equipment can be ensured to quickly recover the connection with the high-standard network.

The invention provides an off-line task autonomy and increment synchronization method and device of a robot and a medium, and belongs to the technical field of robot edge computing control, the method can monitor the network connection state in real time, and when a network disconnection event is detected, system mode switching is triggered; responding to the network disconnection event, switching the system from an online mode to an offline mode, and activating a local task queue; storing the control instruction to a local compression task queue; in the offline mode, the instructions in the local task queue are scheduled to the robot to be executed according to the priorities, and the instructions with the high priorities are executed preferentially; and performing conflict detection and combination on the offline task and the cloud state to complete incremental data synchronization. According to the method, when the network is unstable or interrupted, it is guaranteed that the robot can continuously, safely and efficiently execute tasks; and after the network is recovered, accurate synchronization of the data is realized, and data conflict and loss are avoided.

Data protection including malware response operations are disclosed. When a production system is attacked, the malware is allowed to run in a forensic environment in order to learn its operational characteristics. The forensic environment includes a working scenario that may be prepared in advance with false data that allows the malware to communicate with a malware host system. Once the operational characteristics are learned, a return malware can be placed in the data. The return malware is transmitted to a malware host system by the malware itself and executed.

A computing system is disclosed, comprising a host computer and multiple CGRPs (coarse-grained reconfigurable architecture processors) connected to the host computer through external communication links. Each CGRP includes an internal network, external interface circuits, memory interface circuits, arrays of configurable units, hang detection circuits, force-quit controllers, and a network recovery circuit with control registers. The host computer is programmed to configure and execute applications across the arrays of configurable units in both CGRPs. In case of a hang detection in one CGRP, the network recovery circuit initiates a force quit process and notifies the host computer. Additionally, the network recovery circuit compares application IDs and halts execution in the other CGRP if necessary. This system provides efficient failure tolerance and recovery mechanisms for parallel processing applications.

A key value store is maintained at a destination and includes pages of a B+ tree holding filing metadata of first and second files belonging to a logical partition of a filesystem. The pages are associated with KVS keys, each KVS key including a logical partition id, snapshot id, and page number. The snapshot id corresponds to a current snapshot id at a time the pages were written to the KVS. A clone is created at the destination. The parent is assigned a first logical partition id, clone child is assigned a second logical partition id, and current snapshot id is incremented. The destination receives changes to the first and second files. As soon as updates are applied to one of the first or second files, the updated file is scanned for viruses while updates continue to be applied to another of the first or second files.

The invention discloses an equipment ledger management system, equipment and method based on an NFC module, and the system comprises an NFC data interaction module which triggers the near field communication between an NFC tag and a read-write terminal, and achieves the on-site reading and writing of equipment data; the standing book management core module integrates equipment information input, state updating, full life cycle recording and query statistics functions; the data synchronization module realizes real-time data interaction between a terminal and a server, and supports automatic synchronization after offline caching and network recovery; the authority management module allocates access authority based on roles and records an operation log; and the data encryption module encrypts the sensitive information and the transmission data. According to the equipment ledger management system and method, the equipment ledger data entry process can be effectively simplified, manual operation is reduced, the data collection efficiency is improved, full-period tracing and query of the ledger and real-time data updating can be achieved, and the application scene is wide.

The application discloses a cluster abnormal recovery method based on a PBFT algorithm. In a cluster network composed of 3f+1 nodes, the PBFT algorithm can only tolerate at most f abnormal nodes at the same time, but in an actual deployment network, the whole cluster often enters an abnormal state due to reasons such as network delay, network disconnection or node restart. The abnormal node will try to initiate a view change request, and the view change request will eventually time out before the cluster network recovers, at which time the abnormal node will enter a recovery state and initiate a recovery request until more than 2f+1 nodes in the recovery state can select a consistent view value, determine a new master node, wait for a new view start message of the master node, and thus complete the abnormal recovery of the cluster. The method solves the problem that the cluster cannot autonomously recover after a failure in the PBFT algorithm, and greatly improves the availability of the PBFT algorithm.

The invention provides a non-contact double-recording signature method and device based on end intelligence, and the method comprises the steps: loading a face recognition model and a gesture recognition model preset in end side equipment, and initializing a real-time video stream of a camera; face detection, living body judgment and facial feature comparison are carried out based on the real-time video stream, and an identity verification result is generated; synchronously recognizing a gesture of a user or an object moving track, matching a standard signature template through dynamic time warping, and generating a track consistency verification result; the identity verification result, the track consistency verification result and the signature track data are locally encrypted and stored, and are asynchronously uploaded to a server when the network is recovered; and through a timestamp alignment mechanism, audio and video streams in a signature process, an identity verification result and track data are synchronously recorded, encrypted and stored. According to the invention, the authenticity and security of signature are effectively improved, the risk of data leakage is reduced, and the system stability is enhanced.

A neural network is able to reconfigure hardware accelerators on-the-fly without stopping downstream hardware accelerators. The neural network inserts a reconfiguration tag into the stream of feature data. If the reconfiguration tag matches an identification of a hardware accelerator, a reconfiguration process is initiated. Upstream hardware accelerators are paused while downstream hardware accelerators continue to operate. An epoch controller reconfigures the hardware accelerator via a bus. Normal operation of the neural network then resumes.

The invention discloses an off-line multi-scene collaboration and data synchronization mechanism and system based on a light guide film. State data of a user in multiple application scenes such as health monitoring, safety protection, social service, virtual world and smart home are subjected to local temporary storage, priority ranking and intelligent synchronization after network disconnection recovery through a unified identity authentication center. The unique identity feature code is locally cached after the user registers for the first time, and the user does not need to depend on online authentication in an offline state. The system comprises an off-line data temporary storage module, a priority ranking module, an off-network recovery synchronization module, a conflict arbitration module, a storage space management module and a manager off-line response module. When the network is interrupted, state change is temporarily stored in a local circular queue according to the priority (the highest life safety class), sequencing is carried out in real time during writing, and low-priority data is preferentially discarded when the space is full (coverage operation is executed at the head of the queue). And after the network is recovered, reporting according to a priority sequence, and reporting overtime retry by adopting a fragment transmission and breakpoint resume mechanism. The multi-device offline conflict is automatically arbitrated according to a version number, a timestamp and a device priority rule, and a conflict log retention period can be set. And when the supervisor is offline, automatically electing a temporary supervisor, and synchronizing data after recovery. According to the method, the problems that multi-scene state data are lost when the network is interrupted, off-line operation cannot be coordinated, and data conflicts are generated after recovery are solved, and a complete closed loop of online real-time synchronization, off-line temporary storage and supplementary transmission and high availability of a manager is realized.

The invention relates to the technical field of production process monitoring, and discloses an injection molding production field data entry method, which comprises the following steps of: preventing misoperation entry through a double confirmation mechanism of a reason button and a confirmation button; when the network is interrupted, the to-be-sent data is encrypted and cached in the local memory, and the to-be-sent data is automatically and complementarily transmitted after the network is recovered to ensure that the data is not lost; through a built-in power-off monitoring circuit and a farad capacitor standby power supply, automatic monitoring and reporting of sudden power-off events are realized. The button function can be flexibly self-defined in a rear-end system, and synchronous visualization is realized by attaching a physical PC (Personal Computer) surface capable of being quickly replaced to front-end equipment. Through double confirmation, network outage caching, power outage reporting and software and hardware de-jitter processing, the problems of mistaken touch, report omission and data loss which are prone to occurring during industrial field data acquisition are effectively solved, and the accuracy and reliability of data entry and the environmental adaptability of the system are remarkably improved.

The invention discloses an implementation method for one-in and one-out control of construction site access control, and relates to the technical field of access control. The implementation method for one-in and one-out control of the construction site access control comprises the following steps of: initializing a configuration gate by a system; identifying the identity of a person when the person enters and exits the construction site; monitoring the passage by the gate; through a strict access verification process and a real-time communication mechanism, the accuracy of the on-site state of personnel is ensured, and the reliability of on-site people counting and safety management and control is improved. And secondly, a flexible strategy is adopted when network communication is interrupted, the edge end firstly releases and stores a record, and supplementary transmission is carried out after the network is recovered, so that the continuity of construction site operation is ensured, and the integrity of data is also ensured. Finally, the method enhances the accuracy of attendance management, and reduces the attendance statistical deviation caused by wrong entry and exit records, thereby ensuring the salary calculation fairness of workers, and improving the overall efficiency and level of construction site management.

The invention relates to the technical field of low-voltage power distribution network operation control and fault processing, and discloses a low-voltage power distribution network multi-mode collaborative self-healing method, system and device based on a capacity regulating transformer and a medium. And according to the tap position of the capacity-regulating transformer and the state of the distributed power supply, a system reconstruction mode is decided. And an optimal power supply island is divided by utilizing an improved graph theory algorithm, so that the distributed power supply can be utilized to supply power to the key load to the maximum extent. An optimization model with capacity regulating transformer loss, network loss and switching action times as targets is established for a main network recovery part, and meanwhile, a GA-BFGS hybrid algorithm is adopted for efficient solving. The method effectively solves the problems that a traditional low-voltage power distribution network is insufficient in recovery capability, and the cooperation efficiency of the transformer and the distributed power supply is low, and remarkably improves the power supply reliability and economy.