280 results about "Smart substation" patented technology

The invention discloses an intelligent substation safety measure checking method and system, and the method comprises the steps: obtaining a secondary system topological structure, equipment information and historical safety measure ticket data of a substation, and constructing a quaternary knowledge graph; according to the quaternary knowledge graph, extracting multi-modal features of the maintenance task and identifying the type of a maintenance scene by combining a memory guide reflection decision reasoning mechanism, optimizing a rule reasoning process through a distributed guide local search algorithm, and generating an optimal safety measure operation set for a specific maintenance scene; automatically identifying a correlation loop and determining a minimum safety isolation range through a memory guide decision reasoning mechanism, dynamically generating a minimum safety operation set according to the real-time state of the equipment, and adaptively adjusting operation steps; and an operation dependency relationship model is constructed in combination with unwrapping variational multi-graph representation learning and a distributed guide local search algorithm, and operation sequence compliance verification, risk level assessment and dynamic visual early warning are realized. According to the invention, accurate formulation, dynamic adjustment and risk early warning of safety measures of the intelligent substation are realized.

The invention relates to the technical field of transformer substation intelligent patrol, and provides a transformer substation three-dimensional fusion patrol method and system based on digital twinborn and autonomous identification. According to the method, a fused three-dimensional model is constructed through multi-source data acquisition and a three-dimensional Gaussian splash algorithm, and in combination with deep learning-based point cloud semantic segmentation and clustering, an equipment-patrol means coverage relationship is generated. Creating a virtual inspection proxy object based on a three-dimensional virtual environment, and controlling terminals such as an unmanned aerial vehicle to collect real-time video image data; the system carries out automatic identification on pictures, automatically completes equipment level alignment and standard point location identification, generates fine control of camera zooming, horizontal rotation, pitching and the like, and realizes standardized view finding and acquisition. By combining an enhanced recognition algorithm, traditional image processing and a deep learning model are fused, model self-evolution is realized through incremental learning, flexible expansion and collaboration of various patrol terminals are supported through a unified interface, and refined, real-time and intelligent patrol operation and maintenance requirements of an intelligent substation are met.

The invention provides a remote intelligent operation monitoring method and system for an intelligent substation, relates to the technical field of intelligent operation and maintenance of substations, and relates to multi-source heterogeneous sensing, depth feature modeling, fault prediction evaluation and model self-optimization. According to the method, electrical, environmental and meteorological data are collected through heterogeneous sensors, a structured original data set is constructed, time sequence prediction is carried out in combination with a convolution-LSTM model, a Transform fusion network is utilized to output a fault probability and a confidence interval, online early warning and response control are realized, and the method has a federated learning driven adaptive updating capability.

The invention discloses a smart power grid fault-tolerant communication system and method based on multi-operator channel switching, and the method comprises the steps: collecting heterogeneous network and equipment state data through an intelligent sensing layer, achieving the network quality prediction and multi-target optimization through an AI decision engine, integrating spectrum resources and network slices through a resource cooperative control layer, and achieving the fault-tolerant communication of a smart power grid. The edge execution layer executes hardware-level fast switching, the emergency disaster recovery layer provides multi-dimensional fault recovery, and the security trusted layer guarantees data security. The method breaks through the bottleneck of traditional network switching, realizes high-reliability and low-delay transmission of power business, is suitable for scenes of intelligent substations, distribution network automation and the like, and remarkably improves the fault-tolerant capability and resource utilization efficiency of intelligent power grid communication.

The invention relates to the technical field of intelligent substations, in particular to a rapid detection system, method and equipment for a process level switch of an intelligent substation, and aims to solve the problem that existing detection only depends on network transmission performance indexes and cannot comprehensively evaluate the business function correctness and operation reliability of the switch. The system, the method and the equipment comprise a power system fault scene modeling and message generation unit, a high-precision synchronous message injection and capture unit, a multi-dimensional state association and comprehensive judgment unit and a diagnosis report generation unit. According to the scheme, comprehensive detection, high-fidelity scene and deep diagnosis are realized, and service reliability determinacy evaluation is provided.

The invention relates to a method for constructing and visualizing a knowledge graph of a secondary virtual loop of an intelligent substation, which solves the problems of incomplete visualization, incomplete relevance, poor readability and the like in the prior art, and adopts the technical scheme that the method comprises the following steps of: acquiring an SCD configuration file and an optical fiber link table of the intelligent substation; reading and analyzing the SCD configuration file, and obtaining virtual loop configuration information of the whole station; matching the virtual loop with the soft pressing plate based on the configuration information of the virtual loop of the whole station; matching the physical loop with the virtual loop based on the total station virtual loop configuration information and the optical fiber link table; constructing a knowledge graph based on the total station virtual loop configuration information; and constructing a total station secondary equipment virtual loop configuration database based on the knowledge graph. The method has the advantages that the configuration information of the virtual loop of the whole station can be completely presented in a graphic form, the visualization degree of the secondary virtual loop of the intelligent station is effectively improved, and the working efficiency of on-site technical improvement, defect elimination, verification and the like is improved.

The invention discloses a mutual inductor digital output synchronism detection method and system, particularly relates to the field of electric power engineering detection, and is used for solving the problem of synchronism deviation concealment caused by phase-locked loop drift of digital output of an electronic mutual inductor in an intelligent substation. A uniform time frame is utilized to penetrate through the whole process, synchronization deviation is continuously mapped into a phase migration track, long-term drift and instantaneous jitter are analyzed on two scales by means of phase shift stacking quantity and pulse dispersion rate, two kinds of heterogeneous features are converted into a single drift tradeoff coefficient through Gaussian process regression, and a stability domain threshold value is dynamically revised according to the single drift tradeoff coefficient; after the threshold is triggered, the minimum adjustment amount is immediately issued to the phase-locked loop and is synchronously verified, so that the clock adjustment action and the drift monitoring are mutually nested; the protection device continuously receives the stable sampling sequence, the tripping misjudgment rate is remarkably converged, the inspection period is prolonged, and additional hardware investment is not needed.

The invention relates to the technical field of intelligent substation fault positioning, and discloses a fault positioning method based on Sdd-Scd fusion, which comprises the following steps of: 1, analyzing an SDD file and an SCD file of an intelligent substation, extracting physical link information and logic link information, and establishing a mapping relationship between a physical port and logic signal subscription; 2, based on the mapping relation between the physical link and the logic link, a fault propagation matrix M is constructed, and elements of the matrix M represent the fault propagation probability between equipment nodes; the fault propagation model is constructed based on SDD-SCD fusion, the fault propagation probability is calculated through the fault propagation matrix M, a multi-fault scene under a complex topological structure can be effectively handled, the limitation that the prior art is only based on an expert rule or a simple graph theory algorithm is overcome, and the accuracy and reliability of fault positioning are improved.

The invention relates to the technical field of substation automatic testing, in particular to a substation automatic testing method and system, and the method comprises the following steps: constructing a digital test message for simulating the operation state of a power grid, the digital test message meeting the internal processing specification of an intelligent terminal; injecting the digital test message into an internal logic processing path of the intelligent terminal in a non-intrusive manner through a diagnosis interface reserved by the intelligent terminal or an internal communication network of the intelligent substation; performing time synchronization on the digital test message by using a time synchronization mechanism of the intelligent substation; receiving response data returned by the intelligent terminal through an internal communication network of the intelligent substation; wherein the test process is logically isolated from the main function of the intelligent terminal, and the test process comprises the steps of digital test message injection, time synchronization and response data acquisition. Through the scheme, the test efficiency and reliability are improved.

The invention discloses an intelligent substation virtual loop online transmission verification method based on GOOSE / SV closed loop test, and relates to the technical field of intelligent substation operation and maintenance. Through precise clock synchronization and an improved cross-correlation algorithm, in combination with wavelet noise reduction and spectral clustering analysis, nanosecond synchronization quality evaluation of GOOSE / SV signals is realized, and the hidden transmission risk discovery time is shortened from regular maintenance to real-time monitoring; a hierarchical hidden Markov model is adopted to analyze equipment-level to system-level behavior modes, real-time probabilistic reasoning is realized in combination with a dynamic Bayesian network and particle filtering, a multi-dimensional evaluation system is constructed, the reliability evaluation capability under complex working conditions is remarkably improved, an optimization scheme is generated based on network path characteristic analysis and bottleneck identification, and the reliability of the system is improved. Multi-scene closed-loop verification is carried out by means of a digital twin technology, safety and reliability of parameter optimization are ensured, and full-process intelligent operation and maintenance of the virtual circuit of the intelligent substation from state perception to optimization verification are realized.

The invention discloses a fault information acquisition method and system for transformer substation relay protection equipment. The method comprises the following steps: acquiring a multi-source fault data sequence of relay protection equipment; generating a fusion fault feature sequence through a multi-source data fusion strategy; identifying a key fault period based on a dynamic sudden change threshold, and intercepting target and non-target data subsequences; the morphological difference degree of adjacent target subsequences is calculated, if the morphological difference degree exceeds a threshold value, the adjacent target subsequences are marked as a doubt sequence, and fault feature analysis is carried out by adopting a hierarchical analysis strategy; and further carrying out fault wave and range judgment on adjacent non-target subsequences. Through the multi-source information fusion and dynamic threshold technology, the limitation of a single data source and a fixed threshold is overcome, early faults and hidden defects can be accurately recognized, normal operation and real faults can be effectively distinguished, the accuracy, reliability and early warning capability of fault recognition are remarkably improved, and the method is suitable for popularization and application. The method is suitable for state monitoring and fault diagnosis of intelligent substation relay protection equipment.

The invention relates to a dynamic rule adaptive substation SDD file analysis method, device and system. The method comprises the following steps: acquiring a to-be-analyzed substation system description file; analyzing the file to generate a basic data model; extracting static parameters and dynamic operation parameters of the equipment based on the basic data model; matching the extracted equipment parameters with a predefined rule base to generate a logic interconnection rule and a physical connection rule between the equipment; according to the logic interconnection rule and the physical connection rule, constructing a topology network diagram representing the connection state of the equipment of the whole station; and based on the node and side information in the topological network diagram, generating a configuration file for describing the physical loop of the whole station, and storing the configuration file to a specified path. The full-station physical loop configuration file generated by the embodiment can provide accuracy for closed-loop testing, operation and maintenance debugging and digital twinborn application of the intelligent substation, and the intelligent level of substation design and operation management is remarkably improved.

The invention belongs to the technical field of power system automation and communication, particularly relates to an intelligent substation process level switch port flow monitoring and pre-warning system and method and a storage medium, and discloses an intelligent substation process level switch port flow monitoring and pre-warning system which comprises a data acquisition unit, a data processing unit and a data processing unit. The hardware input end is configured to perform non-intrusive coupling with a communication link of one or more target ports of the process layer switch to be monitored. According to the invention, tiny but fatal business logic risk precursor which cannot be identified in the prior art and is hidden under normal total flow can be found; and through a multi-level and multi-dimensional anomaly evaluation mechanism, the accuracy and timeliness of early warning are remarkably improved, so that the predictability and safety of the operation of the intelligent substation are greatly enhanced, and the method has great technical value for guaranteeing the stability and reliability of the whole power system.

The invention discloses a defect repeated alarm screening method and system based on a twin network and topology analysis, and relates to the technical field of intelligent substations. The method comprises the steps of extracting image pair features through a twin network and generating matching potential energy; constructing an anti-environmental interference dynamic reference curved surface by using historical data; constructing a weighted coupling graph based on the potential energy residual error and the spatio-temporal context, and screening potential repeated alarm clusters through belief propagation; performing time sequence alignment and multi-dimensional consistency evaluation on intra-cluster alarms, and eliminating low-contribution noise nodes in combination with Shapley value game analysis; and finally, identifying a stable defect chain through topology persistent coherence analysis, selecting main alarms and screening out repeated alarms. According to the method, the problem of misjudgment caused by illumination change, equipment aging and complex interference is effectively solved, the recognition accuracy and the automation level are greatly improved, and the operation and maintenance rechecking workload is remarkably reduced.

The invention discloses an intelligent substation secondary equipment configuration difference automatic analysis method and system. The method comprises the steps that an SCD file is analyzed to obtain CID, CCD and CRC of intelligent substation secondary equipment to be analyzed; the actual CID, the actual CCD and the actual CRC of the to-be-analyzed secondary equipment of the intelligent substation are obtained in real time; if the CRC is inconsistent with the actual CRC, comparing the difference between the CID and the actual CID, comparing the difference between the CCD and the actual CCD, generating a difference configuration example for a difference item obtained by comparison, and establishing a difference code according to a user-defined coding rule; matching categories of difference items, performing similar item combination on the difference codes, matching a difference brief report template of the difference codes, writing information of the difference codes and difference configuration examples into a difference brief report to obtain a problem analysis report, outputting the problem analysis report and prompting a problem severity level. According to the invention, the efficiency of configuration difference analysis is improved, and the professional technical requirement threshold is reduced.

The invention discloses a local key secure storage method and device based on a virtualized cryptographic module, and aims to solve the problem that the security, the cost and the flexibility of the existing scheme are difficult to consider at the same time. According to the method, a high-isolation virtualized cryptographic module (VCM) is created through a CPU hardware virtualization technology, a safe execution environment is constructed, and safe generation, packaging storage and unpackaging operation of a master key and a working key are achieved; the device comprises a hardware layer, a virtualization layer, a VCM and a communication interface, and all the layers are coordinated and are subjected to authority isolation. According to the scheme, the system is supported to start automatic loading or on-demand dynamic loading, and various attacks are resisted in combination with TPM (Trusted Platform Module) enhanced packaging and a strong encryption mechanism. Through verification of a 110kV intelligent substation scene, special hardware does not need to be newly added, the cost is only 0.1% of that of a traditional HSM scheme, the operation response delay meets the real-time requirement, and the method is suitable for key security storage scenes of various types of equipment.

The invention discloses an intelligent substation secondary equipment online reconstruction control method and system, and relates to the technical field of power system automation, and the method comprises the following steps: broadcasting fault information containing digital fingerprints generated by fault secondary equipment to adjacent equipment; enabling the adjacent equipment to verify the digital fingerprint and carry out lightweight consensus confirmation, and obtaining a dynamic reputation score of the secondary equipment based on the operation data of the secondary equipment; screening out a candidate takeover equipment set from the adjacent equipment according to the dynamic reputation score; determining target takeover equipment from the candidate takeover equipment set through a multi-target optimization algorithm; and causing the target takeover device to execute the reconstruction logic. The method is used for solving the problems of insufficient authenticity of fault information of existing secondary equipment, low equipment cooperation efficiency, lack of intelligence of takeover decision and poor cohesion of a reconstruction process.

The invention relates to the technical field of digital information transmission, in particular to a method for positioning a packet loss fault of an intelligent substation communication network, which comprises the following steps of: S1, acquiring real-time transceiving data and state information of each node in the intelligent substation communication network, and constructing a space-time dynamic state map; s2, predicting a packet loss high-risk area by combining historical state information based on a time-space relationship between map modeling nodes, and generating a dynamic risk map; and S3, inputting the risk map into a fault positioning algorithm, fusing node state features and prediction area information, and accurately identifying and outputting a packet loss fault source position. According to the method, high-precision, low-delay and high-interpretability positioning and early warning of the packet loss fault in the communication network of the intelligent substation are realized by constructing the space-time dynamic state map and fusing map neural network prediction and propagation consistency analysis.

The invention discloses a transformer substation relay protection equipment constant value remote modification double-confirmation method and system. The method comprises the following steps: receiving a modification instruction of a dispatching master station and generating a dynamic multi-dimensional verification vector; acquiring on-site multi-source sensing data through a near field communication protocol cluster; establishing a security situation assessment model to perform multi-dimensional risk assessment; carrying out multi-modal fusion authentication based on a deep learning algorithm; fixed value modification rehearsal verification is carried out through a digital twin system; issuing an instruction through the security encryption channel and monitoring the equipment state in real time; and finally, writing the whole-process data into the block chain through a consensus mechanism to generate a traceable log. The system correspondingly comprises an instruction analysis module, a verification vector generation module, a multi-source perception acquisition module, a security evaluation module, a multi-mode authentication module, a digital twin rehearsal module, a security execution monitoring module, a block chain recording module and the like. Through multiple security verification and an intelligent decision-making mechanism, the security, reliability and traceability of constant value modification operation are remarkably improved, misoperation and hostile attacks are effectively prevented, and the method is suitable for constant value remote management of an intelligent substation and a regional power grid.

The invention relates to the field of computer security, in particular to an intelligent substation logic vulnerability protection method and system based on business rule objectization, and the method comprises the steps: obtaining an unstructured preset business rule of an intelligent substation, and carrying out the objective processing of the preset business rule, and obtaining a standardized rule set; constructing a security agent strategy library based on the standardized rule set; collecting real-time business data and equipment state data in the operation process of the intelligent substation to form context information during operation; and performing matching verification on the runtime context information and the security agent strategy library to obtain a vulnerability detection result, and executing a corresponding vulnerability protection response operation according to the vulnerability detection result. According to the method, deep defense of legal-structure and malicious-logic vulnerabilities which cannot be defended by traditional means is realized, automation accuracy, low performance overhead and dynamic adaptability during business rule updating are also realized, and safe operation of the intelligent substation is effectively guaranteed.

A service network quality analysis control device based on AI comprises a network interface module which supports multi-port access and is used for flow acquisition control, a data acquisition and storage module which carries out data preprocessing and tagging and constructs an efficient storage system, and an AI analysis engine which realizes service identification, QOS demand prediction and network trend analysis. The QOS strategy decision module is used for dynamically generating a control strategy according to an AI result, the strategy execution and feedback module is used for completing strategy issuing and forming closed-loop optimization, and the management and visualization module is used for providing network state display, configuration management and alarm. Through AI intelligent analysis and dynamic strategy control, the network resource utilization rate and the operation reliability are remarkably improved, and the method is suitable for intelligent substations and other scenes with high requirements for communication stability and real-time performance; good application values and popularization prospects are realized.

The invention relates to a debugging method for an automatic system of an intelligent substation, and relates to the technical field of intelligent substations, and the method comprises the steps: analyzing a substation system configuration description file; obtaining physical network topology configuration information; mapping the virtual terminal connection relation to physical network topology configuration information; calculating a congestion delay parameter of each physical link based on the association table and a set fault scene; generating a test excitation sequence according to the to-be-tested protection logic, and distributing a transmission delay offset for a test message in the test excitation sequence according to the congestion delay parameter; sending a test excitation sequence carrying the transmission delay offset to the tested electronic equipment and monitoring an action message fed back by the tested electronic equipment; calculating a theoretical effective time window of the action message; and judging a debugging result according to whether the timestamp of the monitored action message falls into a theoretical effective time window or not. The method has the effect of improving the comprehensiveness of debugging of the automatic system of the intelligent substation.

The invention discloses an intelligent substation safety measure verification and operation and maintenance management and control method and system and a storage medium, and relates to operation and maintenance automation and intelligentization of an intelligent substation. According to the invention, a cloud-edge-end collaborative architecture is constructed; edge equipment is responsible for collecting data and carrying out local intelligent preprocessing; the cloud constructs and dynamically updates a high-fidelity digital twinborn model based on the processed data, performs simulation verification on security measures, and performs real-time auxiliary verification on an edge side by using a lightweight AI model to form dual security verification; finally, the verified instruction is converted into virtual-real superposition operation guidance synchronized with the digital twinning in real time through the mobile AR terminal, and field operation is visually guided. According to the scheme, the fundamental transformation of an operation and maintenance mode from artificial experience driving to data intelligent driving is realized, the decision-making efficiency is optimized through cooperative processing, a safety defense line is constructed by utilizing dual verification, the misoperation risk is remarkably reduced by virtue of AR visual guidance, and a complete intelligent operation and maintenance closed loop is formed.

The invention discloses an intelligent substation virtual terminal automatic connection method and system based on an SCHO-GO algorithm, and the method comprises the steps: obtaining a comprehensive distance according to an editing distance and a cosine distance represented by a virtual connection vector, and constructing a virtual terminal matching model according to the comprehensive distance; optimizing a distance weight vector in the virtual terminal matching model according to a preset SCHO-GO algorithm to obtain an optimal target distance weight vector, and updating the virtual terminal matching model according to the target distance weight vector to obtain a target virtual terminal matching model; and inputting IED data to be matched into the target virtual terminal matching model, outputting by the target virtual terminal matching model to obtain a comprehensive similarity between the input virtual terminal and the output virtual terminal, and performing matching connection on the input virtual terminal and the output virtual terminal by adopting a preset matching rule according to the comprehensive similarity. The efficiency and the accuracy of automatic connection of the virtual terminal are remarkably improved, and the method is suitable for secondary design of the intelligent substation in a complex equipment naming scene.

The invention discloses an intelligent substation state evaluation method and system based on digital twinning, and relates to the technical field of state evaluation, and the method comprises the steps: firstly constructing a heterogeneous knowledge graph capable of precisely mapping a physical entity logic relation based on the ontology definition, asset information and topological data of a substation; then, massive real-time fast-change data streams are introduced into the atlas framework, and node states are dynamically mapped by using a time sequence feature coding technology; and a complex message passing and aggregation mechanism is carried out in the graph structure through the relation perception graph neural network, and node embedding representation with local personality and global generality is generated. And finally, synchronously finishing equipment risk prediction at a micro level and total-station comprehensive evaluation at a macro level based on the high-dimensional representation, and carrying out path backtracking and cause analysis on a high-risk state based on map relevance. Therefore, the problem of equipment health and system operation state separation can be solved, and intelligent substation panoramic state perception and risk early warning with interpretability can be realized.

The invention relates to the technical field of power system communication and testing, discloses an intelligent substation process level switch performance testing system, method and equipment, and aims to solve the problem that dynamic coupling of a network message and a physical process under a transient fault of a power system cannot be truly reproduced by an existing testing method. And thus, the performance robustness of the process layer switch of the intelligent substation is difficult to accurately evaluate. According to the system and the method, a test environment integrating power grid transient simulation, process layer message virtualization, closed-loop response control and panoramic data analysis is constructed, and a switch to be tested is tested in a closed-loop scene dynamically interacting with a physical process by simulating a power grid transient state in real time and generating a synchronous message. By adopting the above technical scheme, traditional test defects can be effectively overcome, deep defects or performance bottlenecks of the switch can be exposed, the authenticity, comprehensiveness and depth of the test can be greatly improved, and safe and stable operation of the intelligent substation can be guaranteed.

The invention relates to a test case generation method and device, equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring first data source information of target equipment in the intelligent substation and a target test model corresponding to the target equipment, and acquiring second data source information of a test tool corresponding to the target equipment, so as to generate a test case according to the first data source information, the target test model and the second data source information, the test case is used for testing the target equipment. By adopting the method, the reliability of test case generation can be improved.

The invention discloses an intelligent substation SCD automatic generation method, system and device and a storage medium. The method comprises the following steps: constructing a primary main wiring diagram, wherein the primary main wiring diagram comprises a topological relation in the intelligent substation; associating intelligent electronic equipment IED in a substation configuration description SCD file to a corresponding interval in the main wiring diagram; generating an IED configuration parameter based on the topological relation and the IED; and associating the ICD file of the IED to the SCD file, importing a loop configuration subscription relation table and a total station primary equipment interval classification, number and initial address table, and automatically generating a subnet, communication parameter configuration, port configuration and virtual loop configuration in combination with the IED configuration parameters so as to complete the configuration of the SCD file. According to the method, the SCD file meeting the specification can be automatically configured.

The invention discloses a substation network message analysis method, system and equipment based on semantic recognition and a medium, and the method comprises the following steps: capturing a communication message in an intelligent substation network to form an original message data set, and preprocessing the original message data set to form a preprocessed data set; performing feature extraction on the preprocessed data set, fusing binary features and text features by adopting a double-flow hybrid architecture, and constructing a hierarchical feature set; performing semantic disambiguation, information extraction and intention recognition according to the structured syntax tree, and recognizing a message intention; and analyzing the transformer substation network message based on the message intention, extracting key information, and generating structured output. According to the method, the binary structure feature and the text semantic feature of the message are processed at the same time by adopting the double-flow hybrid architecture, the hierarchical feature set from the physical layer to the application layer is constructed, and unified characterization and accurate recognition of various power communication protocols are achieved.

The invention discloses a virtual loop generation method and system based on template library matching, and relates to the technical field of power system automation, and the method comprises the steps: matching a corresponding target subscription template from a preset subscription equipment virtual terminal template library based on the equipment type and interval identification of subscription equipment; dynamically retrieving a target publishing template in a preset publishing equipment virtual terminal template library based on the demand characteristics of the publishing equipment; based on a preset topological relation constraint rule and a semantic matching mapping algorithm, generating matched virtual terminal topological data and a communication parameter group; constructing a virtual loop instance configuration file of the intelligent substation based on the virtual terminal topological data and the communication parameter group; and respectively performing grammar layer verification, communication parameter compliance verification, virtual terminal connection attribute verification and logic layer verification on the virtual loop instance configuration file. The technical problems that in the prior art, the working efficiency of a mode of manually configuring the virtual loop is low, and mismatching of the virtual loop is prone to occurring are solved.