786 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 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 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 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.

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.

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 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.

The invention relates to the technical field of off-line data collection, and particularly discloses an off-line data collection method and system and terminal device.The method comprises the steps that information content to be collected is classified, and a standardized form template is configured; meanwhile, corresponding incidence relations between different information column categories in the form template are configured; exporting a corresponding form template according to the to-be-allocated user category and the corresponding permission; in response to an offline data file obtained after the user performs data collection on the respective form template, form rule verification and form format verification are performed respectively; splitting the form data information into an information column region, a data column region and a cell region, and performing rule verification on the information of each region; and for the data conforming to the verification rule, respectively organizing the data according to the divided regions, and storing the data to a background. According to the invention, efficient, reliable and flexibly-configured large-scale data acquisition and storage in an offline scene can be realized.

To provide a gaming machine that improves management of the display of the number of gaming media according to a gaming state.SOLUTION: In a gaming machine of the present invention, a first normal state, a second normal state and a specific gaming state are provided as gaming states, and a degree of advantage related to an auxiliary game can be controlled to be higher in the first gaming state than in the second gaming state. The gaming machine is capable of generating a gaming machine information notification command including information indicating the gaming state and transmitting the command to virtual gaming media number control means. When a situation in which a response command from the virtual gaming media number control means cannot be received occurs consecutively a predetermined number of times, a standby process can be executed. Further, when it is determined that a power interruption has occurred, after storing, in a usable area within a memory of main control means, a checksum and a back flag to be referenced upon recovery from the power interruption, the standby process can be executed.SELECTED DRAWING: Figure 40

Systems, computer program products, and methods are described for a cryptographic hash signature architecture aimed at error pattern recognition and automated recovery. This framework receives live error data, generates unique cryptographic hash signatures (checksums), and matches these against a stored checksum database to identify known error patterns. If a match exists, predefined scripts execute corrective actions. Otherwise, machine learning algorithms assess the error to suggest solutions. The system employs a rules engine applying predefined algorithms to ensure solutions match system protocols. It updates a historical database with error and resolution data, refining the knowledge base. Successful resolutions are verified, with outcomes enhancing the machine learning model's future accuracy. This innovative approach boosts system reliability and user satisfaction by reducing manual interventions and downtime.

The invention relates to the field of port energy management, and provides a bulk cargo wharf production operation process-based energy consumption prediction method and system, and the method comprises the steps: obtaining a cargo attribute information set and an equipment parameter set, and constructing a linkage database through context fusion, time sequence storage and data cleaning; based on a cargo attribute information set splitting process, performing verification and collaborative division in combination with an equipment archive and an operation emergency degree coefficient, and performing risk assessment according to theoretical and actual parking duration to generate a link list; according to the link list and the real-time working condition, a candidate device set or a compensation scheme is output in combination with the mapping table, a collaborative operation trigger signal is generated, and a device allocation list is generated through resource allocation when a collaborative scheme is started; constructing an initial energy consumption prediction model, and carrying out online iterative optimization; and calculating each operation link and a final energy consumption prediction result, and generating a final energy consumption prediction report. According to the method, dynamic planning of a collaborative operation process and adaptive prediction of energy consumption are realized, and the method is suitable for port smart energy management and automatic scheduling.

The invention relates to the technical field of photovoltaic power station data transmission, and discloses a method and a system for carrier transmission data of a real-time monitoring system of a photovoltaic power station. The carrier wave data transmission method specifically comprises the following steps: S101, deploying a sensor network on key equipment of a photovoltaic module, an inverter, a combiner box and a transformer of a photovoltaic power station, collecting equipment operation state data in real time, and quantizing an analog signal into a 16-bit-precision digital signal through an ADC (Analog to Digital Converter); and S102, packaging the quantized 16-bit precision digital signal into a data frame, adding a device ID, a timestamp and a CRC check code to the head of the data frame, and loading a power line through carrier communication. The optimized OFDM modulation 512 subcarrier / 1-30 MHz frequency band and pi-type filtering coupling design guarantees communication reliability, stable transmission can still be achieved even in a strong electromagnetic interference environment, the false alarm rate is effectively reduced by more than 40% through a dynamic threshold mechanism, and crossing from passive response to predictive maintenance is achieved.

To provide a game machine that improves management of game media number display according to the game state.SOLUTION: A game machine of the present invention has three game states: a first normal state, a second normal state, and a specific game state. Control can be performed so that the degrees of advantage for auxiliary games differ between the first and second game states. A game machine information notification command containing information indicating the game state can be generated and transmitted to virtual game media number control means. Standby processing can be executed when a situation in which a response command from the virtual game media number control means cannot be received occurs a predetermined number of consecutive times. When it is determined that a power interruption has occurred, after storing a checksum in a used area of the memory of main control means and a back flag to be referenced when recovering from the power interruption, the standby processing can be executed. A power-on operation accompanied by a RAM clear clears the backup information in the main control means, but does not clear the virtual game media number which can be played.SELECTED DRAWING: Figure 40

The invention relates to a Zynq chip FSBL program fault-tolerant starting method based on check and self-check, which comprises the following steps of: partitioning a Flash physical space into at least two independent starting mirror image regions, at least two application program regions and an independent state management region; the two independent starting mirror image areas are backups for each other, and the two application program areas are backups for each other; compiling, synthesizing and burning the mirror image file; when the FSBL program is started and runs, the FSBL program firstly judges the validity of a mirror image, and if the mirror image is invalid, a fault-tolerant switching mechanism is triggered; and if the mirror image is valid, executing a self-checking process, if the self-checking is passed, continuing to normally start the process, and if the self-checking fails, immediately triggering a fault-tolerant switching mechanism, and restarting from a standby start mirror image area. According to the method, the problem that the Zynq series chip cannot be started due to the fact that the FSBL program in the starting mirror image stored in the Flash is partially damaged is solved, and the purpose of improving the system reliability is achieved.