177 results about "Data reorganization" patented technology

The invention provides an electronic information data association method and system based on the Internet of Things. The method comprises the steps that a parallel processing architecture is adopted to execute rapid protocol conversion on a high-priority data packet, data recombination is directly carried out through a pre-compiled conversion rule template, a complex format verification link is skipped, and the integrity and format correctness of the converted data packet are determined; response time and error rate statistical information in the data transmission process are obtained, protocol conversion rules and scheduling strategies are optimized through a feedback mechanism, and if the success rate of certain protocol conversion is lower than a standard value, corresponding mapping rules and verification algorithms are updated; and carrying out standardized packaging on all converted data by adopting a unified data exchange standard, adding an equipment identifier, a timestamp and a data type label, establishing a cross-protocol general data format, and carrying out final distribution after judging whether a data packet meets a standard format requirement.

The invention relates to the technical field of data processing, and discloses an ecological degradation restoration evaluation system and method based on multi-source data fusion, and the system comprises a heterogeneous data recombination module, a space-time reference adaptation module, an anti-noise dimension fusion module, a degradation feature coupling module, a restoration scheme mapping module and a restoration feedback evaluation module. Performing dynamic heterogeneous recombination on the target area remote sensing image, ground monitoring and historical ecological parameters to form an original data matrix; obtaining a space-time reference adaptive matrix through adaptive space-time reference conversion; a multi-source anti-noise data cube is formed through anti-interference dimension fusion; performing degradation characteristic multi-source coupling on the cube to generate a degradation characteristic topological set; performing spatial feature association mapping on the topology set and a repair case library to output a repair scheme optimization sequence; based on the historical restoration feedback flow, the sequence is dynamically fed back and recombined to generate an ecological restoration evaluation report; according to the invention, the accuracy of reference information generation can be improved.

The invention relates to the field of semiconductors, in particular to an answer generation method and device based on a semiconductor knowledge base and a medium. The method comprises the steps of performing data association on structured knowledge according to a semiconductor domain knowledge structure to construct a class of knowledge bases; performing data recombination on the unstructured knowledge according to the layout so as to construct a second-class knowledge base; a query question is received, retrieval is executed in the first-class knowledge base and the second-class knowledge base based on a preset retrieval model, and a plurality of related knowledge fragments are obtained; determining a first fusion weight between the knowledge fragments of the same knowledge type based on the relevancy between each knowledge fragment and the query question and the update time of each knowledge fragment; determining an optimal knowledge type according to the group feature information, and determining a second fusion weight between different knowledge types according to the optimal knowledge type; and based on the first fusion weight and the second fusion weight, obtaining a reference answer according to the plurality of knowledge fragments. And the requirements of the semiconductor field on information comprehensiveness and answer accuracy are considered.

The invention provides a data cooperative transmission method and system under an opportunity network, and relates to the technical field of data cooperative transmission, and the method specifically comprises the steps: collecting key parameters from each node regularly, calculating an effective bandwidth evaluation value and a priority adjustment value of each node, and selecting an optimal transmission path according to the priority adjustment value; the method comprises the following steps: performing fragmentation processing on data to be transmitted, and performing redundant storage on each data fragment; the sender selects the data fragments to send according to the priority and sends a request to the optimal node, and the receiver feeds back the data fragments to the sender in time after confirming that the data fragments are received; and generating a hash value for each data fragment, and performing integrity verification before data recombination. According to the method, the key parameters are collected, and the effective bandwidth evaluation value and the priority adjustment value of the node are dynamically calculated, so that the transmission path selection accuracy and the data transmission efficiency are improved. By performing redundant storage and hash verification on the data fragments, the integrity and security of the data in the transmission process are ensured.

The invention relates to the field of electric vehicles, and provides a BMS communication abnormity judgment and data reorganization method, a BMS system and a storage medium, and the method comprises the steps: when detecting that an offline slave controller appears in the BMS system, recording the serial numbers of the offline slave controller and the online slave controller through an array; if the serial number of the off-line slave controller is in a continuous state, judging that the main communication interface is in a disconnected state; temporarily storing the cache array obtained by the main communication interface through the slave controller in the recording array, calling the standby communication interface of the main controller to obtain the cache array through the slave controller, inserting and merging the cache array and the recording array, storing the cache array and the recording array in the recording array, and storing data in the recording array in the cache array. According to the method and the device, the abnormal condition can be automatically and quickly judged and processed without manual intervention when the abnormal condition is detected, so that the automation degree of the system is improved, the convenience and the efficiency of operation are improved, and the safety and the stability of the system are enhanced.

The invention provides an HPLC (High Performance Liquid Chromatography) micropower communication and power line carrier dual-mode communication method, which belongs to the technical field of multiplexing communication, and comprises the following steps: selecting a communication line section to be tested in a low-voltage power line carrier communication line, and determining a data verification section and a data replacement section according to a carrier signal quality coefficient; in the data verification section, micro-power wireless communication is adopted to transmit redundancy verification data for verifying carrier communication signal transmission data; determining a data transmission allocation scheme by adopting a dynamic planning method according to the signal attenuation degree of the carrier communication signal in the data replacement section, and dividing carrier communication signal transmission data into a first data packet transmitted through the carrier communication signal and a second data packet transmitted through micropower wireless communication; carrying out data segmentation numbering and recombination on the first data packet and the second data packet; and a data transmission allocation scheme is adjusted according to the data transmission accuracy after data recombination, so that the problem that the communication reliability cannot be ensured when the carrier communication signal attenuation is serious is solved.

The embodiment of the invention provides an order book data construction method and system based on an FPGA, and the order book data construction method based on the FPGA is applied to a programmable logic component, and comprises the steps: obtaining transaction quotation data, and decoding the transaction quotation data; performing data recombination on the decoded transaction market data according to a preset format to obtain market information; and synchronously sending the market information to a target memory and a target cache, and constructing order book data in the target cache based on the market information.

The invention discloses a method and equipment for compressing multi-dimensional data based on column storage and self-adaption, and the method comprises the steps: recombining original multi-dimensional data into a column data set structure, and organizing data block storage for the column data set structure according to a hierarchical structure; each data block stores observation grid data of a single variable of multi-dimensional data at a certain moment so as to support column type storage and self-adaptive compression; and carrying out real-time statistical analysis on characteristics or parameters of variables in the data blocks, and dynamically selecting and configuring a filter and parameters thereof to compress the multi-dimensional data. The data of the same variable are stored together through column storage, so that the data access efficiency is greatly improved, especially during variable-level analysis. Meanwhile, the self-adaptive compression technology can dynamically select a compression mode according to the distribution characteristics of the data, so that the compression rate of the data is effectively improved, and the occupied storage space is reduced. The processing speed of the meteorological grid point data can be obviously improved, and the storage cost is reduced.

The invention relates to the technical field of data processing, and provides a cloud data archiving method and system, and the method comprises the steps: obtaining a source data set of to-be-archived data, carrying out the grade division, obtaining a data grade label, dividing the source data set into a plurality of data blocks, carrying out the data encryption of different grades, obtaining a plurality of encrypted data blocks, and storing the encrypted data blocks in a database; analyzing and coding to obtain a multi-dimensional data storage structure, uploading the multi-dimensional data storage structure to a preset cloud storage node, and generating a storage index information set based on multiple data blocks in the uploading process; and when a data recovery request is received, acquiring the data block from the cloud storage node according to the storage index information set, and performing decryption and data recombination. Through the scheme, classification, hierarchical encryption and structured archiving of the source data set are realized, the security and management efficiency of the data in a cloud storage process are improved, and the problem that the encryption level cannot be dynamically adjusted by data sensitivity or content features when a large-scale heterogeneous data source is used is solved.

The invention discloses a data processing method and device, electronic equipment and a computer storage medium, and relates to the technical field of data acquisition, the method comprises the following steps: acquiring an acquisition data packet sent by each data acquisition module, and analyzing according to the acquisition data packet to obtain successfully analyzed data, the successfully analyzed data at least comprising an acquisition node identifier; determining a memory address identifier of the successfully analyzed data according to the acquisition node identifier and a preset Hash mapping table, and after the successfully analyzed data is stored in a memory buffer area mapped by the memory address identifier, performing data quality verification according to the successfully analyzed data to obtain a quality verification result; after the data quality verification is completed, data reorganization is carried out according to the successfully analyzed data to obtain reorganized data, data restoration is carried out on the reorganized data according to the quality verification result to obtain final output data, and the method and device aim at improving the processing capacity of large-scale data collection so as to ensure the accuracy and timeliness of data collection.

The invention relates to the technical field of data fusion, in particular to a multi-source data fusion method, system and device and a medium. The method comprises the following steps: firstly, according to multi-source data obtained from a multi-source data medium station, constructing a medium station configuration table; secondly, according to the obtained query request, configuring a data interface of the third-party system to a multi-source data middle station, and performing necessary item verification on interface parameters according to a front-end parameter configuration table of the middle station; then judging whether the check-passed query request is subjected to Cartesian integral splitting or not to obtain response messages of a plurality of third-party systems; and finally, carrying out data reorganization on the plurality of response messages to obtain reorganized data, calling a paging algorithm, and feeding the paged reorganized data back to the request end, so that the data access of a plurality of or a single system fused in a similar structure is realized, the interface is flexible to configure, the operation is simple and convenient, and the universality is high.

The invention relates to the field of cloud computing big data secure storage, in particular to a cloud computing-based big data secure storage method and system. The method comprises the following steps: performing encryption and fragmentation processing on an original data stream to generate a fragmentation sequence with an index; generating a dynamic key sequence and a verification key group based on the fragment information; constructing a secure transmission channel through a quantum key distribution mechanism in combination with a geographic position weight and a load balancing strategy, and realizing encapsulation and transmission of a secure fragment packet; node state monitoring and redundancy management are implemented, and an update mapping table is generated; and finally, a complete data stream is recovered through fragment positioning retrieval, data recombination and dynamic decryption. According to the invention, the security and reliability of data storage and the overall load balancing capability of the system are improved.

The invention provides a memory access system oriented to vector and matrix calculation, the system comprises a vector memory access unit, a matrix memory access unit, a vector register group and a matrix register group, the vector memory access unit is connected with a memory interface and the vector register group, reads elements of a one-dimensional data structure or a two-dimensional data structure from a memory, and stores the elements of the one-dimensional data structure or the two-dimensional data structure; vector data are generated through data reorganization operation, a matrix access unit is connected with a memory interface and a matrix register set, matrix block data of a two-dimensional data structure are read from a memory together with the matrix access unit, matrix data are generated after data reorganization, and the matrix data are broadcasted to one or more computing units according to rows or columns. And performing calculation on the matrix data and the vector data. In the memory access system, the vector memory access unit and the matrix memory access unit can load data in parallel, and the utilization rate is improved through a plurality of computing units, so that the problems of low memory access efficiency and low memory bandwidth utilization rate are solved.

The invention relates to the technical field of automatic scheduling, in particular to a method for realizing automatic gas scheduling based on a gas prediction model. The method comprises the following steps: acquiring furnace area sensing data, and performing data reorganization processing to obtain furnace area structured data; analyzing the temperature change amplitude and the pressure distribution condition of each furnace area according to the structured data of the furnace areas; identifying the furnace temperature jump point of each furnace area by using the temperature change amplitude of each furnace area; the working moment proportion of the furnace temperature jump point of each furnace area is counted, and a high-proportion furnace body is identified; according to the temperature change amplitude and the pressure distribution condition of the high-proportion furnace body, a furnace body gas flow velocity vector field is recovered, an instantaneous pressure loss sudden change path is calibrated, and a gas main network physical anomaly path is obtained; calculating a gas scheduling capability state according to the pressure distribution condition of the furnace area to obtain an actual scheduling structure of the gas main network; and screening a feasible gas distribution scheme for the physical abnormal path of the gas main network. According to the invention, the operation efficiency and adaptability of the gas main network can be improved.

The invention discloses a transformer substation work ticket knowledge graph construction method based on a large language model, and belongs to the field of energy power and artificial intelligence. The method comprises the following steps: based on standardized electrical drawing annotation data, generating an independent knowledge graph through data recombination preprocessing, rough knowledge graph construction and attribute supplementary reasoning; all the independent knowledge maps are divided into a framework layer map and a detail layer map according to voltage grades, and full map fusion is completed by adopting a hierarchical fusion strategy; carrying out breakpoint detection by using an isolated point detection algorithm based on degree centrality, carrying out connectivity analysis through depth-first search, and re-fusing multiple non-connected sub-graphs; and screening abnormal nodes based on an electrical connection rule, inputting the abnormal nodes into a large language model to automatically supplement Agents to generate correction suggestions, and completing map optimization. Through cooperation of the large model Agent and multiple algorithms, the electrical data structuring efficiency and accuracy are improved, and knowledge network support is provided for automatic operation and fault diagnosis of the transformer substation.

The invention discloses a data encryption and decryption method, device and equipment. The encryption method comprises the following steps: segmenting to-be-encrypted data into a plurality of data blocks; segmenting each data block into a plurality of small data blocks; for each small data block in each data block, randomly selecting one encryption algorithm from the encryption algorithm set for encryption to obtain a corresponding encrypted small data block; classifying all the encrypted small data blocks according to an encryption algorithm, and generating combined data from the encrypted small data blocks under the same encryption algorithm by using a chain table mode; encrypting each piece of combined data by using an encryption algorithm to obtain encrypted combined data; and combining the encrypted combined data to obtain final encrypted data. The small data in the data blocks obtained through data segmentation has different encryption algorithms, data recombination is carried out after encryption and encryption algorithm categories, then secondary encryption is carried out on the combined data, and finally the encrypted data is obtained through combination, so that the security of the data is greatly improved.

The invention discloses a dam safety monitoring manual comparison data reorganization and analysis method and system. The method comprises the steps that automatic measurement and manual measurement are conducted on dam measurement points; respectively and correspondingly forming an automatic value measurement sequence and a manual value measurement sequence according to data of each automatic measurement and manual measurement; performing smoothing processing on the automatic value measurement sequence and the manual value measurement sequence by using empirical mode decomposition, and reconstructing the processed data; performing deviation calculation on the reconstructed automatic value measurement sequence and the artificial value measurement sequence, and obtaining a dynamic control limit value according to the deviation; and comparing the dynamic control limit value with the deviated data value to identify abnormal data points of the dam according to a comparison result. According to the invention, the calculated dynamic control limit value is utilized to carry out reorganization analysis, real-time detection and judgment on the monitoring data, and a basis is provided for verifying and evaluating the accuracy and reliability of automatic value measurement.

The invention discloses a multi-channel data transmission control method and system. The method comprises the following steps: acquiring current to-be-transmitted data and an idle channel set; judging the relationship between the number of channels and the data volume, and when the channels are sufficient and the data volume is large, splitting the data into reference data and corresponding split data by adopting an intelligent data division strategy; establishing a matching relationship between the data set and the channel; inputting the reference data and the split data into corresponding channels for transmission in a cross arrangement mode; and performing data fusion based on the same data field at a receiving end. Through dynamic channel matching, intelligent data splitting and optimization recombination mechanisms, the channel utilization rate and the transmission efficiency are effectively improved, the data recombination complexity is reduced, the method is particularly suitable for high-concurrency and low-delay data transmission scenes, and compared with a traditional method, the transmission performance can be remarkably improved.

The invention relates to a big data intelligent analysis processing system and method based on a distributed architecture, and the system comprises a data collection module, a hybrid processing module, an intelligent data distribution module, a data recombination module and a data analysis module which are connected in sequence. The method comprises the steps that real-time big data and batch big data are obtained from a multi-source heterogeneous data source through an increment extraction channel and a batch extraction channel respectively, the real-time big data are submitted into a message queue in two stages through the CDC technology, and the batch big data are stored in a distributed library in an increment mode according to timestamps / self-increment IDs; during hybrid processing, the intelligent resource scheduler makes a decision by means of a resource allocation function and cluster state evaluation, and the task dispatcher decomposes tasks and dynamically distributes the tasks in a weighted manner; high-frequency data and low-frequency data are divided according to rules and information entropies through intelligent shunting; according to the method, the time mapping weight fusion is established through data recombination, and finally the recombination data is analyzed, so that efficient resource scheduling, accurate data distribution and deep analysis can be realized, the real-time performance and the reliability are considered, and the data processing efficiency and the analysis precision are improved.

The invention relates to a space-time big data dynamic index construction method and device and a storage medium. The method comprises the following steps: inputting a spatio-temporal data stream into a distributed system to carry out fragmentation processing and index tree structure construction to obtain an initial index structure, and carrying out parallel feature extraction on the spatio-temporal data stream to obtain a spatio-temporal distribution feature vector; calculating a space-time overlapping degree, a data density similarity and a query frequency correlation degree of adjacent nodes based on the space-time distribution feature vectors to obtain a combined evaluation score of the node pair; performing multi-objective optimization based on the merging evaluation score to generate an optimal merging threshold value; and according to the optimal merging threshold, performing incremental merging operation on the node pairs, and performing data recombination and range boundary updating to obtain an optimized index tree structure. According to the method, smooth adjustment of the index structure is realized, the influence of structure adjustment on online query service is minimized, and the index structure can be continuously optimized and kept in an efficient state.

The invention discloses an operation and maintenance method and device of a service system, a storage medium and electronic equipment, the method is applied to the field of artificial intelligence, and the method comprises the following steps: collecting original time sequence data of the service system, and carrying out data noise reduction processing on the original time sequence data to obtain noise-reduced time sequence data; performing data preprocessing and data recombination operation on the time sequence data after noise reduction to obtain target time sequence data; combining the target time sequence data and the user intention of the target user to obtain reference information of the user intention; and inputting the reference information of the user intention into the large language model, generating an operation and maintenance result of the service system, and playing the operation and maintenance result to a target user, so that the target user performs operation and maintenance operation on the service system based on the operation and maintenance result. Through the operation and maintenance method and device, the problem that operation and maintenance personnel of the service system need to perform operation and maintenance operation on the service system based on the operation and maintenance report after complex analysis in the related technology, so that the real-time performance of the operation and maintenance operation of the service system is poor is solved.

The present application discloses a method and system for reconstructing a reflected echo, which belongs to the field of signal processing technology. In the method for reconstructing a reflected echo of the present application, a complete reflected echo is composed of M frame, <h2 style=";text-align:left;direction:ltr">M×N sampling points, where each frame is sampled with a delay T Complete data sampling, sampling at equal intervals per frame N point, at each <h2 style=";text-align:left;direction:ltr"> A / D The interval time of the conversion cycle is used to realize synchronous data accumulation. When a complete reflection echo sampling is completed, the synchronous accumulation is also completed. M Frame sampling data reorganization, <h2 style=";text-align:left;direction:ltr"> Qavg The complete reflected echo is accumulated and averaged, logarithmically transformed, and curve fitted to achieve the reproduction of reflected echoes. Through data analysis, transmission loss and fault point detection are completed. This application meets the sampling accuracy conditions. <h2 style=";text-align:left;direction:ltr"> A / D Converter to 1 / M The sampling rate meets the performance requirements of the full load sampling rate, which can greatly reduce the <h2 style=";text-align:left;direction:ltr"> A / D The high-speed sampling rate requirements of the converter reduce the background noise, and the power consumption and cost of the signal analysis system are also greatly reduced.

The invention particularly relates to a modeless data storage system supporting asynchronous change based on a hybrid storage structure. The modeless data storage system supporting the asynchronous change based on the hybrid storage structure comprises a storage module, a metadata management module, a data recombination module, a data cleaning module and a workload monitoring module. According to the mode-free data storage system supporting asynchronous change based on the mixed storage structure, services are provided for the outside through the mode storage system, asynchronous mode change is automatically triggered when write-in data is not matched with a current data mode, high-performance access of mass data can be met, flexible and free automatic data mode change can be achieved, and the data storage efficiency is improved. And the performance and the stability of the system are ensured.

The present invention discloses a method, device, electronic device, and computer-readable storage medium for processing inertial navigation communication data. The method comprises: receiving packet data, intercepting the minimum and maximum packet sequence numbers, and all packet sequence numbers and corresponding status bytes between the minimum and maximum packet sequence numbers, and filtering out incoherent packet sequence numbers; sequentially treating the numbers 0-N as a data block, with each L number representing N being the number of valid bytes in the packet sequence number and L being the length of the complete parsed byte; and for each data item in the incoherent packet sequence number array, determining which data block the data item is located in, determining and deleting the packet sequence number subarray and status byte subarray corresponding to the data block, replacing the deleted packet sequence number subarray with the data block, and replacing the deleted status byte subarray with L zeros in the status byte array. The present invention can achieve dynamic compensation for packet loss and data reassembly, improving system performance and reliability in complex communication scenarios.

The application discloses a file unshelling method and electronic equipment, and relates to the technical field of computer security, and comprises the following steps: inserting a probe at a target system call of a kernel, and injecting the probe into a target program; identifying a suspiciously shelled process through the target program; monitoring a memory permission change behavior performed by the suspiciously shelled process through the target program, and counting a permission change frequency of a memory region, an entropy value of the memory region and a call chain depth; when it is confirmed that the suspiciously shelled process is in an unshelling stage according to the permission change frequency, the entropy value and the call chain depth, writing data decrypted by the suspiciously shelled process into a target buffer through the target program; reading the data from the target buffer in a user mode, and recombining the data into a memory image according to a base address and a dirty page bitmap and writing the memory image back to a file. The method can avoid I / O bottlenecks caused by full memory dumping, reduce invalid data in the user mode, and reduce CPU occupation and memory bandwidth.

The invention discloses a communication method and device, a storage medium, communication equipment and a chip, and relates to the technical field of communication processing, and the method comprises the steps: firstly, obtaining a plurality of protocol data units (PDU) submitted to a radio link control (RLC) layer; determining a first PDU to be processed at present in the RLC layer from the plurality of PDUs; and if the first PDU is fragmented data, storing the first PDU in a preset queue to wait for RLC layer data recombination, and determining to start performing RLC layer processing on a next to-be-processed second PDU corresponding to the first PDU. According to the data processing method and device, the fragmented data and the complete data can be processed in parallel in the data processing process of the RLC layer, the data processing time delay of the RLC layer is reduced, and the data processing efficiency of the RLC layer is improved.

The invention relates to the technical field of power equipment operation and maintenance, and provides an unattended operation and maintenance device based on a hydropower station and photovoltaic power generation, which efficiently organizes and manages operation and maintenance data through a data recombination unit, periodically evaluates the equipment operation state by using an operation and maintenance data evaluation unit, and timely discovers potential faults. The core innovation lies in that the data missing early warning unit intelligently compares a real-time operation and maintenance evaluation result with actual equipment operation data to realize multi-dimensional data verification, and introduces an adaptive early warning threshold and an early warning information grading system to ensure that data missing or abnormal early warning is accurately and timely sent out. The invention aims to ensure the data integrity of the hydropower station and the photovoltaic power generation equipment, provide support for operation and maintenance personnel, and ensure the stable operation of the unattended operation and maintenance system based on the hydropower station and the photovoltaic power generation.

The present application provides a kind of data distribution device, data distribution system and data distribution program.Data distribution device (2) has: update data acquisition unit (9a), obtains the multiple update data corresponding to multiple write object electronic control device;Reorganization information acquisition unit (9b), obtains the reorganization information for by main device parallel execution to multiple write object electronic control device transfer update data transfer processing;Data packet generation unit (9c), multiple update data are segmented based on reorganization information to generate segmented data, and the segmented data of multiple update data generated are packed to generate multiple data packets;And distribution control unit (9e), multiple data packets are distributed to main device.

The present invention belongs to the technical field of mechanical equipment fault diagnosis and maintenance, and provides a bearing remaining service life prediction method considering the service degradation diffusion phenomenon, the method uses an acceleration sensor to pick up the rolling bearing accelerated life test data of each measuring point; reorganizes the normalized data into a two-dimensional matrix and divides it into a training data set and a test data set, and creates labels; constructs a pre-trained conditional time diffusion network prediction model, uses a pre-trained conditional encoder to extract features from the training data set to obtain a conditional vector; uses the diffusion model and the conditional vector to obtain a prediction sequence, and then applies the Lowess method to smooth the prediction sequence, and combines the least squares method to obtain the bearing remaining service life value; and simultaneously uses a differential loss function and an optimization algorithm to optimize the training to construct a pre-trained conditional time diffusion network prediction model to complete the bearing remaining service life prediction. The present invention can accurately predict the remaining service life of the bearing.

The invention relates to the technical field of film and television media. The 8K video real-time editing cooperation method and system for the 10-gigabit hybrid network are provided, and the method comprises the steps: carrying out the incremental analysis processing of an editing behavior based on operation event monitoring, and generating an incremental data unit; performing versioning management processing on the incremental data units through distributed storage nodes, and constructing a storage system with a version chain; according to the recovery instruction, target data recombination processing is carried out based on the storage system with the version chain, and the engineering environment is reconstructed; and performing merging processing based on the conflict characteristics in the engineering environment to generate a repaired engineering version, thereby achieving the technical effects of reducing the network transmission load, improving the conflict resolution efficiency and enhancing the version management reliability.