924 results about "Checksum" patented technology

The invention relates to the technical field of management and control systems, in particular to a digital intelligence system applied to collaborative management and control of water-power engineering construction participating units, which comprises a project data management module covering water-power engineering construction full life cycle management, extracting multi-source information data from various subsystems, and constructing a project view and a project management information base; the project risk analysis module is used for constructing an intelligent risk analysis model for risk analysis and generating a dynamic evaluation result, a graded early warning notification and an auxiliary decision scheme; the project collaborative management module is used for processing graded early warning notification and auxiliary decision-making schemes by using a multi-layer perceptron model, and generating finalizing service achievements and management process records; and the project document management module is used for performing compliance automatic checking and processing on the electronic documents needing to be archived, and dynamically updating and optimizing the project management information base. Through the closed-loop management and control system, the cooperative management and control efficiency of water-power engineering construction participation units is improved.

The invention relates to a feature defense method and system in a network transmission process, and the method comprises the steps: intercepting a network transmission data flow in a migration channel of a virtual machine in real time, and building a bidirectional flow mirror image pipeline; performing deep protocol analysis and recombination on the original transmission message in the mirror image pipeline to obtain a structured traffic log of complete load information and metadata labels; based on a preset traffic feature set, extracting a memory paging transmission time sequence feature and a disk data block check code distribution feature from the structured traffic log, and constructing a first detection sub-vector; according to the invention, a high-precision virtual machine migration security protection system is realized.

The invention discloses a server BMC dynamic security authentication and firmware protection method and system based on a hardware root of trust, relates to the technical field of server remote management security, and discloses the server BMC dynamic security authentication and firmware protection method and system based on the hardware root of trust, which realize dynamic authentication by generating a device fingerprint through a security chip. According to the method, a multi-layer protection mechanism is constructed in combination with fragment encryption, differential hash check and memory integrity verification, and meanwhile, the data credibility is enhanced by using a block chain storage key hash value, so that the problems of static authentication risk, insufficient firmware tampering detection and missing of a trust chain in a traditional scheme are effectively solved, and the security protection capability of a BMC system can be improved.

The invention discloses a market supervision data exchange platform migration and security enhancement method and system based on a credential environment, and relates to the technical field of network security. In the data migration process, the consistency and privacy protection of the data are ensured through Hash check and a multi-party security computing technology; a domestic commercial cryptographic algorithm and a quantum resistance encryption technology are introduced, so that the protection capability of the platform to existing security threats is effectively improved, and the resistance to future quantum computing threats is enhanced; an intrusion detection system and a virtual honeypot node are integrated, and a defense strategy is monitored and updated in real time in combination with a deep learning model, so that novel attack behaviors can be detected and coped with in real time; according to an intrusion detection alarm and a block chain audit result, a security policy and resource allocation are dynamically adjusted in combination with a machine learning technology, it is ensured that high-risk nodes are monitored in time, resource allocation is automatically optimized, and the resource utilization efficiency and security of the system are improved.

The invention relates to an office process automation data analysis method based on a symmetric encryption algorithm, and the technical scheme comprises the following steps: introducing an encryption strategy generator, and dynamically adjusting the parameters of the symmetric encryption algorithm including the key length and the encryption round number through the real-time analysis of the data communication content including the data sensitivity, the frequency and the data volume; constructing a self-adaptive optimization model, and adjusting an encryption strategy according to external conditions such as a network state, equipment computing power and user behaviors; fragmenting the data packet before transmission, and allocating different transmission paths according to current network conditions and security evaluation; constructing a dynamic data recombination module at a data receiving end, and verifying and recombining data when encrypted data packets of different paths arrive; a lightweight key negotiation protocol based on symmetric encryption is adopted, and a key is generated and negotiated immediately when two communication parties initiate data exchange; a secret key life cycle management mechanism is introduced, and the service life and the number of times of limitation are set for each secret key.

An end-to-end rendering system enforces policy-constrained, symbolic presentation of artificial-intelligence (AI) outputs prior to any pixel emission. An AI accelerator emits inference tokens as (token identifier, confidence, domain tag) tuples into an output FIFO. A graphics processor with a command processor and SIMD co-processor executes a policy engine that runs a deterministic finite automaton (DFA) stored in non-transitory memory. The DFA consumes the tuples and produces, before any frame-buffer writes, a permit / deny decision and a visibility mask that constrain presentation attributes. A glyph selector maps permitted tuples to entries in a constrained glyph dictionary specifying a glyph identifier, semantic class, and allowed substitutions. A provenance tagger computes a cryptographic hash over at least the glyph identifier, a DFA-state policy identifier, a session nonce, and a checksum of the tuples to create an evidence capsule bound to the glyph. A device-aware renderer, consulting a device profile registry and a rendering grammar, emits a renderable asset for the glyph only when permitted by the visibility mask and grammar. A justification ledger records, for each displayed glyph, the evidence capsule and a monotonic timestamp. Executed entirely within the graphics processor, the pipeline prevents unauthorized tokens from entering the display path, enables cryptographically verifiable traceability of visible content, and reduces bandwidth by representing outputs as glyph identifiers rather than text or raster imagery, while allowing runtime policy updates without modifying the underlying inference model.

The invention provides an attachment packing and unpacking method, system and device based on a compression algorithm and a medium, and belongs to the technical field of file compression. The method comprises the steps that all attachment files needing to be packaged are obtained by traversing a specified directory, screening and filtering are conducted according to file attributes, and a renamed file list and a path mapping table are generated; according to the renamed file list, using a Brotli algorithm to compress each attachment file based on a preset compression level, and packaging the compressed data into a packaged file containing metadata, compressed data and verification information; when the packed file needs to be unpacked, the legality of the packed file is confirmed through magic number verification and index analysis, file data are recovered through Brotli streaming decompression, and the original directory structure of the file is restored. According to the method, efficient compression and streaming decompression are achieved through the Brotli algorithm, and the attachment storage efficiency, the transmission speed and the data integrity are remarkably improved in combination with the intelligent screening and directory structure reduction technology.

The invention relates to the technical field of database migration verification, in particular to a cross-data-platform database migration verification method and system applied to autonomous controllable transformation. The method comprises the following steps: configuring a source database and a target database in a data source management module; newly establishing a comparison task in the task management module; a comparison database is connected through a dynamic data source assembly, different databases are connected through JDBC, and comparison verification is executed after database connection parameters are configured; database comparison is carried out in the task management module, wherein the database comparison comprises data volume verification and data consistency verification; a comparison report is generated and stored in a built-in mode. The problem of data integrity in the cross-platform data migration process is solved, the system fully considers the difference between the MySQL database and the local database in character set, function and technical characteristics, data verification and comparison work after migration of the MySQL database source and various local target databases is supported, consistency verification before and after data migration is achieved, and the verification efficiency is improved. And the risk of data loss caused by data migration is avoided.

The invention relates to the technical field of product test data management, and discloses a product test data storage and management system based on an MES system. The system comprises a dynamic configuration module which can use a self-adaptive parameter adjustment algorithm to configure data acquisition parameters according to experiment types; the closed-loop feedback module is used for binding experimental data with production batches and process parameters based on a real-time association algorithm; the two-stage verification module is used for detecting data exception through a double-layer cascade verification algorithm; and the intelligent storage module is used for generating hierarchical storage labels by using a multi-dimensional structured coding algorithm. In addition, the system integration module realizes data interaction with ERP and SCADA systems based on an interface adaptation algorithm. The system solves the problems that in a traditional data management mode, collection parameters are fixed, data relevance is poor, a verification mechanism is imperfect, storage and retrieval are inconvenient and the like, data can be efficiently collected, accurately associated, strictly verified and intelligently stored, and the enterprise data management level and production competitiveness are improved.

The present embodiment discloses a novel process and system for storing versioned data on the Bitcoin blockchain network. This process involves generating derived public keys linked to specific versions and data parts using a key tweaking method, and storing each data part on the blockchain using its associated derived public key. Information about versions and parts are stored in root transactions. An API is provided for managing the stored data, with options for encryption, checksums, data anchoring, timestamping, segmentation, and digital signatures. AIDIOS, a data protocol designed for direct storage and retrieval on the Bitcoin blockchain, is also included. This system allows for significant amounts of data to be stored directly on the blockchain.

The invention relates to the technical field of integrated circuit temperature compensation and high-precision calibration, and discloses a high-density full-temperature trimming method and system based on a fuze chip. The high-density full-temperature trimming method is applied to chip trimming equipment and specifically comprises the following steps that S101, temperature information of a fuze chip is received, the working temperature range of the fuze chip is divided into a plurality of continuous temperature sub-intervals, calibration points are uniformly deployed in each sub-interval, and the temperature information of the fuze chip is acquired; the temperature coordinates of the calibration points are collected in real time through the high-precision temperature sensor and then quantized through the analog-to-digital converter. According to the method, the density of calibration points in subintervals is dynamically adjusted, nonlinear characteristics of a temperature sensitive area are effectively captured, and the local fitting error between adjacent calibration points is reduced to 0.02 DEG C or below in combination with a cubic Hermite interpolation and residual compensation algorithm. In addition, the local fitting error between adjacent calibration points is reduced to 0.02 DEG C or below through application of a redundancy check storage architecture and an interleaving addressing technology. And the single event upset resistance of the calibration parameters is improved.

The invention relates to an ultra-high-speed large-flow Ethernet data generation system and method. The system comprises a software unit and an FPGA unit. The software unit is used for generating stream template data and issuing the stream template data to the FPGA unit; the stream template data comprises stream template configuration items and dynamic configuration parameters; the flow template configuration item comprises protocol header information, scheduling configuration information, frame length configuration information and load configuration information; the dynamic configuration parameters comprise dynamic jump configuration information, routing table configuration information and the like; and the FPGA unit is used for storing, reading and calculating the issued stream template data, realizing intra-frame jump value calculation, message and IP head checksum generation, Ethernet frame construction and transmission. Through combination of software and hardware methods, the demand quantity of hardware resources can be reduced, the consumption of logic resources of the FPGA unit can be reduced, the phenomena of high and low speed operation environments, network congestion and the like in the existing network can be simulated, and diversified simulation environments can be provided.

The invention particularly relates to an automatic index creating method based on a large model. According to the automatic index creation method based on the large model, after a user inputs a demand and carries out preprocessing, named entity recognition is carried out by utilizing the large language model, key entity information is extracted, and a structured demand parameter is generated; matching a template from the SQL template library and dynamically filling the template, and obtaining an SQL statement after grammar verification and performance optimization; connecting a data source through a database connection technology, executing the SQL statement, and obtaining an index calculation result; and checking the result, defining parameters of the API interface according to the interface specification, generating an interface document, and issuing the interface document. According to the automatic index creation method based on the large model, the working efficiency is greatly improved, the labor cost is reduced, meanwhile, index calculation errors caused by manual understanding deviation can be avoided, the accuracy of an index calculation result is ensured, the interface adaptation and development workload is reduced, the system integration difficulty is reduced, and the implementation is easy. And the data sharing and interaction efficiency is improved.

An example method for verifying data integrity in a storage system includes detecting a data access operation that processes data via a data path between a client and a storage device of the storage system, the data path including at least a first and a second processing stage; generating, based on the data access operation, a first instance of a first checksum at a first time based on a first intermediate representation of the data; generating, a second instance of the first checksum at a second time; modifying, based on the second checksum being different from the first checksum, the first intermediate representation to generate a corrected first intermediate representation; generating, based on the corrected first intermediate representation, a third checksum; and directing, based on verifying that the third checksum matches the first checksum, the second processing stage to generate the second intermediate representation.

The invention provides a high-robustness data real-time synchronization method and system, a storage medium and electronic equipment, relates to the technical field of data synchronization, and can significantly reduce the data synchronization delay between different systems by introducing mixed timestamps and fragment increment verification and calculation and adopting a reliable transmission mechanism and idempotent processing protocols based on message queues, thereby improving the data synchronization performance. Almost real-time information sharing is realized; meanwhile, the data consistency of the cross-heterogeneous information system can be effectively improved, and the accuracy and integrity of the data among multi-source systems are ensured; in addition, the reliability and robustness of data synchronization in unstable environments such as limited network bandwidth, easy jitter or interruption and the like can be greatly enhanced.

The invention discloses a body intelligent controller architecture based on an end side intelligent model and an operation method, and belongs to the technical field of industrial body intelligence. According to the architecture, a CPU, a GPU and an FPGA are integrated by adopting a heterogeneous multi-core processor, and high-speed interconnection is realized through a star-type + NoC hybrid topology; a multi-level task scheduling mechanism is constructed based on a real-time operating system, and it is ensured that control tasks are executed preferentially. End-side visual model lightweight (YOLOv5s model parameters are reduced to 3.5 M) and FPGA hardware acceleration (control instruction time delay is 10ns) are innovatively realized on an algorithm framework layer, and a transmission bottleneck is eliminated through a zero-copy data path. The system supports model hot switching less than or equal to 10ms and FPGA bit stream online updating less than or equal to 50ms, and has MD5 check and an automatic rollback mechanism. Compared with a traditional separation type scheme, the processing time delay is reduced by 25 times, the hardware cost is reduced, the size is reduced, and the real-time performance, reliability and deployment flexibility of the industrial robot and other intelligent agents with the body are remarkably improved.

An automated data governance system with AI-powered anomaly detection that includes: an AI-based anomaly detection module configured to analyze historical and real-time data patterns using machine learning (ML) models to detect suspicious activity, inconsistencies, and security threats; an automated compliance checker configured to ensure that data governance policies comply with the legal framework by monitoring data transactions and access controls; a data integrity management module configured to validate the consistency, authenticity, and security of the data using cryptographic hashing, blockchain-based tracking, and checksum validation; an adaptive policy engine configured to dynamically update governance policies based on real-time analytics, risk assessments, and industry regulations; a user access and role management module configured to implement role-based access control (RBAC) and leverage AI-driven behavioral analysis to dynamically adjust access permissions; and a real-time alerting and remediation module configured to generate alerts upon detection of anomalies and perform automatic remediation actions such as access revocation, data isolation, or regulatory enforcement.

The invention discloses an equipment data collection method, device and system based on multi-source heterogeneity and a storage medium. The method comprises the following steps: collecting device data of a plurality of devices; according to the data format and characteristics of each device, configuring a corresponding data analysis code, and analyzing the collected device data based on the data analysis code to obtain device analysis data; the attribute and the point address of each device are extracted from the device analysis data, and function types or physical quantity information contained in the point addresses are identified and mapped to corresponding device data items; extracting a data value corresponding to the point address; filtering illegal data from the extracted data according to a preset rule, and performing type conversion on legal data; organizing the target data subjected to verification and type conversion into a standard and unified JSON data structure; and analyzing the generated JSON data structure, and writing the analyzed data into a target database for data analysis and equipment operation state monitoring.

The invention provides a fusion type secure storage system, electronic equipment, a data management method and a computer readable storage medium. The system comprises a hardware security layer, an encryption processing layer, a verification error correction layer, a data stream processing layer and an intelligent management layer which are in communication connection, the hardware security layer provides a physical trusted root for the system and executes a security policy; the encryption processing layer is used for carrying out encryption processing on data based on the security service provided by the physical trusted root; the verification and error correction layer is used for carrying out integrity verification and self-adaptive error correction coding on the encrypted data; the data stream processing layer is used for executing a near data calculation task on the data subjected to verification and error correction; and the intelligent management layer collects real-time state data from the hardware security layer, the encryption processing layer, the check error correction layer and the data stream processing layer, and performs dynamic strategy configuration and global optimization decision, thereby improving the active calculation, dynamic adaptation and intelligent optimization capabilities of the system.

The invention discloses a communication protocol automatic analysis and test data generation method and system, and the method comprises the steps: analyzing an unstructured protocol document, recognizing a fixed field and a variable field in the document, and outputting structured data; automatically generating test data based on the structured data, dynamically calculating a checksum according to a specified check algorithm type in the structured data, and filling the checksum into the original message to form a complete test message; and generating a standardized test data set according to the complete test message. According to the method, manual intervention is not needed from document analysis to test data generation, the analysis efficiency is improved, and most protocol scenes are covered through the boundary value, the abnormal value and the orthogonal combination strategy. The method supports various document formats, data types and verification algorithms, adapts to protocol standards of different industries, facilitates problem positioning and regression testing through standardized output documents, and reduces the maintenance cost.

The invention relates to the technical field of intelligent power grids, and provides a remote software upgrading method for an intelligent electric energy meter, which comprises the following steps: S1, a server generates an upgrading package containing a version identifier, and transmits the upgrading package to the intelligent electric energy meter in a fragmented manner through a TLS encryption channel; s2, the intelligent electric energy meter doubly verifies the integrity of the upgrade package and the legality of the source through an SHA-256 check code and a digital signature, the upgrade package and the source legality are written into a backup storage area of the Flash memory after verification is passed, and a CRC write-in check value is recorded; s3, performing secondary verification on the upgrade package of the backup storage area, triggering restarting after verification is passed, and writing data of the backup area into the main partition in the restarting process; s4, if the main partition system is not started or the core function is abnormal within the set time, returning to an old version and generating a fault log containing a timestamp; through a dynamic subpackage strategy, differential upgrading, SHA256 verification, a watchdog mechanism and a fault log record, the upgrading efficiency and safety of the intelligent electric energy meter are remarkably improved, and the dynamic subpackage strategy dynamically adjusts the size of a data packet according to the network condition.

The invention discloses a safety control method and system for an emerging control main body, and belongs to the technical field of power system active control, and the method comprises the steps: carrying out the bidirectional data interaction through a master station AGC and a field station AGC, and carrying out the bidirectional data interaction based on a bidirectional data interaction result and a cooperative anti-error parameter; whether the emerging control main body is in a controllable state or not is judged in real time through collaborative security locking logic; if the control main body is in the controllable state, active measurement data of the emerging control main body are obtained, and jump detection and multi-source checking are carried out on the active measurement data; after verification is passed, a pre-control instruction is generated based on the control strategy, and reasonability verification and control effect simulation verification are carried out; and after the control effect simulation verification is passed, the pre-control instruction is taken as a final control instruction to be issued to the emerging control main body for execution. The method can greatly improve the safety control capability of AGC on an emerging control main body, guarantees the frequency operation safety of a power grid, and improves the safe and reliable power supply capability of the power grid.

The invention discloses a power grid data full-link monitoring analysis system, and relates to the technical field of full-link monitoring analysis. Comprising an acquisition unit, a transmission unit, a storage unit, a processing unit, an analysis unit and a service unit, the system is used for solving the obvious defects of an existing power grid data monitoring and analysis system in the aspects of multi-source heterogeneous data access, data transmission reliability, storage and query performance, data analysis intelligence and the like. Uniform access and protocol conversion of multi-source heterogeneous data are realized through the acquisition unit, data standardization and consistency are ensured, and acquisition efficiency and compatibility are improved; multi-level check and machine learning anomaly detection are introduced into the transmission unit, data integrity and accuracy are guaranteed, and system stability is improved; the storage unit adopts distributed storage and a time sequence database, and is combined with a multi-dimensional index and a cache strategy, mass data is efficiently stored and quickly queried, the query performance is optimized, the response speed of the system is remarkably improved, and powerful support is provided for real-time monitoring and analysis of a power grid.

A method includes fetching, at a program counter value, an instruction of a basic block of code; decoding the instruction; updating a checksum value with a checksum of the instruction; and determining whether a tuple of the program counter value and the checksum value is in an approximate membership query filter (AMQ-filter).

The invention relates to the technical field of optical modules, and provides a firmware upgrading method, device and equipment for an optical module and a storage medium, and the method comprises the steps: after receiving a firmware upgrading request corresponding to the optical module, extracting a firmware version identifier and a check code, obtaining version information and an operation abstract of operating firmware in the optical module, and storing the version information and the operation abstract in the optical module; the version information and the operation abstract are compared with the firmware version identifier and the check code and analyzed and verified, a comparison result and an analysis result are obtained, if any one of the results is abnormal, the optical module is rolled back to an initial state and an error is reported, if the result is not abnormal, the optical module is subjected to multiple rounds of self-inspection, and if a preset threshold value is met, the optical module is subjected to self-inspection. If yes, the original version data in the optical module is cleared, and if the preset threshold value is not met, the optical module is recovered to the pre-upgrading state. Through a multi-round self-checking and conditional clearing mechanism, the fault recovery capability and the system stability are remarkably enhanced, and the problem of upgrading failure caused by weak checking mechanism and insufficient stability analysis in the firmware upgrading process of the existing optical module is solved.

The invention discloses a method for realizing periodic online self-test of a network chip digital component and a chip architecture. The method comprises the following steps: S1, adding a TestPattern generator, a TestPattern response processor, a configuration and state memory sandbox, sandbox mapping logic and output check value logic on the basis of a chip functional architecture; s2, a TestPattern sequence is generated through a TestPattern generator, each TestPattern in the TestPattern sequence comprises a message, configuration and expected checksum information, for each TestPattern, the corresponding configuration is updated to a configuration and state storage sandbox, meanwhile, the TestPattern is notified to respond to the expected checksum information of a processor, and then the corresponding message is sent to a first functional unit of the chip; s3, the messages of the TestPattern sequentially pass through the corresponding functional units according to the processing sequence, when memory access operation is encountered, the memory access operation is mapped to the configuration and state storage sandbox through sandbox mapping logic, read-write operation is executed on the configuration and state storage sandbox, output check sums of the corresponding functional units are obtained through output check value logic, and the output check sums of the corresponding functional units are obtained; the output check sum of the last functional unit is sent to the TestPattern response processor; s4, the TestPattern response processor judges whether a random hardware fault exists or not based on the expected checksum information and the obtained checksum, namely the output checksum of the last functional unit; and S5, all Patterns of the TestPattern sequence are completed in the FDTI, and the TestPattern sequence is executed in a circulating manner.

The embodiment of the invention relates to the technical field of data transmission security detection, and provides a data transmission detection method and device, electronic equipment and a medium, and the method comprises the steps: receiving target data which is transmitted by a transmitting end and carries a first check code, and obtaining the character length of the first check code; when the character length of the first check code does not meet the integral multiple of the parallelism degree of a cyclic redundancy check algorithm, a preset method is adopted to verify the first check code, and the preset method is a method for carrying out data frame tail zero padding and then backspacing on the first check code; and carrying out transmission anomaly detection on the target data based on a verification result of the first check code. Therefore, processing delay is greatly reduced, resource occupation and power consumption are reduced, and cost is reduced.

The invention relates to a Minio file transmission method and device based on DataX, and aims to solve the problems that an existing file transmission method is low in transmission efficiency, insufficient in reliability and lack of standardized integration. The method comprises the following steps: configuring Minio as a source data source or a target data source of a data transmission task through a task configuration file of DataX, and setting related transmission parameters; a read-write plug-in suitable for Minio is developed and integrated into the DataX framework, and direct reading and writing of files in a Minio storage bucket are achieved; after the large file is fragmented, multi-thread transmission is carried out by utilizing a DataX concurrency mechanism, so that the file transmission efficiency is improved; the fragmentation state is recorded in the transmission process, breakpoint resume is supported, and the reliability is ensured; and after the transmission is completed, verifying the file integrity through a checksum algorithm. Standardized integration of the DataX and the Minio is achieved through the Minio data source plug-in, the use threshold of a user is reduced, in addition, on the basis of implementation of an open source tool, the deployment and maintenance cost is reduced, and the method is suitable for small and medium-sized enterprises and lightweight application scenes.

Automatically searching for cryptocurrency artifacts to recover cryptocurrency assets. Digital data suspected to contain unknown cryptocurrency artifacts may be searched to detect candidate seed phrases, each comprising a permutation of words from a single predetermined seed phrase library consecutively listed in a sequence having a fixed length predetermined according to a cryptocurrency standard. A multi-pass seed phrase validation test may be executed for each candidate seed phrase to determine if it is a valid seed phrase by: executing a first pass comprising verifying a checksum of the candidate seed phrase, and upon verifying the first pass, executing a second pass comprising verifying in a blockchain if there has been activity using a cryptocurrency asset encrypted using a public key in a key pair recovered from the candidate seed phrase. Upon verifying the valid seed phrase, cryptocurrency assets may be recovered using a private key in the key pair.

The invention provides a power distribution network feeder power failure event analysis method, system and device and a medium, and belongs to the field of power system monitoring and automation. The method comprises the following steps: acquiring historical line data, equipment archives and geographic information data of a power distribution network, and initializing a power grid topology model according to the line data, the equipment archives and the geographic information data; acquiring real-time operation state information of the transformer, and verifying and processing the real-time operation state information to determine abnormal data; correcting the abnormal data, and updating the power grid topology model based on the corrected data; and identifying a power failure area and a power recovery area based on the updated power grid topology model. Through integration of multi-source data, real-time monitoring, rapid positioning and intelligent processing of a power failure event of a power distribution network are realized, the fault response speed is significantly improved, power supply is rapidly recovered, the power failure time and the influence of power interruption are reduced, the fault position is accurately positioned through fusion of line topology, and reasons are analyzed.