355results about How to "Improve synchronization efficiency" patented technology

The invention relates to the technical field of information synchronization, in particular to a cross-platform electronic communication synchronization system, which comprises a network construction and path optimization module for collecting basic network parameters of communication equipment of a plurality of platform networks, obtaining cross-platform network data according to the basic network parameters, selecting an optimal transmission path according to the cross-platform network data, and transmitting the optimal transmission path to a server; and generating real-time optimized path information. In the invention, the basic network parameters of the communication equipment of the plurality of platform networks are collected, the cross-platform network data are acquired, the edge weight is dynamically updated according to the delay and the bandwidth, and the optimal transmission path is selected based on the network state, so that the effect of efficiently utilizing network resources is achieved, and the real-time performance and the accuracy of synchronous data transmission are remarkably improved. The to-be-synchronized data is classified and subjected to priority setting, and the data processing sequence is adjusted in combination with the real-time network data, so that accurate scheduling of the synchronization task is realized, the delay and conflict problems in data transmission are reduced, and the efficiency and reliability of data synchronization are improved.

The invention provides an OracIeRAC-based CDC synchronization method and system, and relates to the technical field of OracleRAC, and the method comprises the steps: deploying an incremental log analyzer, a session state collector and a resource monitor, and respectively collecting atomic operation, concurrent transaction information and node performance indexes; and identifying data stream features by using an intelligent classification model, constructing a priority matrix, and performing fine-grained acquisition on high-priority data based on an adaptive sampling strategy. According to the method, multi-dimensional evaluation indexes are further utilized, a time sequence prediction model is constructed to predict node loads, data synchronization tasks are distributed to low-load nodes based on a load balancing matrix, and a two-stage submission protocol is adopted to ensure data consistency. By monitoring the synchronization state in real time and dynamically adjusting the allocation strategy, the CDC synchronization efficiency and stability in the Oracle RAC environment are effectively improved, and the synchronization delay is reduced.

The invention provides a distributed storage and data warehouse permission synchronization method and system, and relates to the technical field of permission management, and the method comprises the steps: analyzing user operation data of distributed storage, training a machine learning model, and generating a directory permission intelligent mapping table; analyzing the structure information of the data table in the data warehouse, and generating a multi-dimensional table authority evaluation model; generating a self-adaptive permission rule base by combining the two, and deploying the self-adaptive permission rule base to each node of distributed storage; when the permission is changed, the system calculates an influence range according to the self-adaptive permission rule base and generates a permission updating instruction sequence; and the system monitors the instruction execution state, identifies abnormal nodes, and performs repair based on the permission propagation tree to ensure the permission consistency. According to the method, automatic synchronization of distributed storage and data warehouse authority can be realized, the authority management efficiency is improved, the manual intervention cost is reduced, and the data security is enhanced.

The invention discloses a self-adaptive data caching and synchronizing method, system and device for an edge gateway of the Internet of Things and a storage medium, and the method comprises the steps: obtaining network quality parameters, such as link bandwidth, time delay and packet loss rate, between nodes, detecting and solving instruction conflicts based on a vector clock mechanism, generating an instruction execution sequence, and carrying out the self-adaptive data caching and synchronizing of the edge gateway of the Internet of Things; local caching and incremental synchronization strategies are adopted for hotspot data, a data access mode is dynamically predicted in combination with a machine learning algorithm, and a cache updating period is optimized. The future data is predicted according to the data characteristics of the Internet of Things application, and the data cache updating period of each node is dynamically adjusted, so that each node can keep a relatively consistent updating rhythm when caching a hotspot data copy; therefore, the hot spot data copies of different nodes can be ensured to have similar accuracy and timeliness at the same time point, so that the data consistency is maintained.

The invention relates to the technical field of data synchronization, and discloses a distributed account book remote data synchronization method and system, and the method comprises the steps: carrying out the Hash mapping calculation of all nodes of a distributed account book system, and obtaining a distributed storage architecture; performing hierarchical network construction on the nodes, and setting an inter-region remote synchronization link and an intra-region local synchronization link to obtain a double-layer communication architecture; performing parallel compression coding, digital signature generation, transmission scheduling arrangement and consistency verification processing on the data blocks to obtain a node synchronous data set; calculating a correlation coefficient of node processing delay and network transmission delay to obtain a synchronous delay analysis model; based on a data block corresponding to the synchronous delay analysis model, adding a time sequence identifier and calculating an integrity check code, and generating a synchronous reliability guarantee mechanism; according to the method, the consistency and the traceability of the distributed account book data are ensured.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

The invention belongs to the technical field of data synchronization, and particularly relates to a real-time data synchronization method for cloud computing heterogeneous resources. In order to solve the problem of data synchronization among heterogeneous resources, the method comprises the following steps: aggregating a plurality of files in batches to generate a packaged file; performing metadata compression processing on the generated packaged file, and eliminating repeated data through a deduplication algorithm; dynamically selecting a lightweight data transmission protocol; establishing a multi-dimensional index structure; only retaining the file of the latest version through a version control mechanism; dynamically adjusting the allocation of synchronization tasks based on the load condition of available resources in the cloud computing environment; and rescheduling the uncompleted synchronization task. Through a multi-dimensional index structure, version control, self-adaptive transmission scheduling and a dynamic resource allocation mechanism, efficient and stable file synchronization among heterogeneous resources is realized, repeated transmission and storage waste are reduced, and real-time performance, reliability and resource utilization efficiency of synchronization are improved.

The invention relates to a cross-network time synchronization method oriented to AUTBUS and TSN fusion, and belongs to the field of network time synchronization. The invention aims to solve the problems that the traditional Ethernet cannot meet the time-sensitive application requirement and the scale of the TSN is limited and the like. According to the method, a time compensation value prediction algorithm is placed in an AUTBUS terminal, time delay values of all parts in the heterogeneous network are collected and predicted, and finally a prediction result is compensated to a local clock of the AUTBUS terminal, so that end-to-end time synchronization of the AUTBUS and TSN fusion network is realized. The method comprises the four steps of TSN intra-network time synchronization, gateway intra-network time synchronization, AUTBUS intra-network time synchronization and AUTBUS terminal time compensation, time delay data are predicted through a linear regression prediction algorithm, and synchronization precision and efficiency are improved. The method is suitable for the fields of intelligent manufacturing, industrial automation and the like, and an effective solution is provided for time synchronization of the heterogeneous network.

The invention provides a digital office data synchronization and sharing method and system based on cloud computing, and relates to the technical field of cloud computing, and the method comprises the steps: building a distributed data synchronization system on a cloud computing platform, and detecting the change of digital office data on each terminal device through a real-time monitoring mechanism; when data change is detected, triggering an incremental synchronization algorithm, and only synchronizing the changed data part; historical version information of each data change is recorded by using a block chain-based distributed account book technology, and data version tracking and backtracking are realized; constructing a role-based access control system, and allocating data access permissions to different users; a real-time collaborative editing function is realized, and multiple users are allowed to edit the same digital office data at the same time; establishing a data sharing log system, and recording data access and operation behaviors of each user; and a machine learning algorithm is utilized to analyze a user behavior mode, and related digital office data is automatically recommended.

The invention relates to the technical field of big data and the field of financial science and technology, and discloses a database table synchronization method based on log data, which comprises the following steps: recording operation information of a business database table to log data, writing the log data into a message queue, obtaining the log data through a streaming data processing framework, and deserializing the log data into structured data; and extracting operation records, classifying the operation records according to operation type fields, distributing the operation records to processing channels corresponding to the table names, and updating or adjusting the table structure of the target table according to classification, or executing data change operation. Through the log data-based synchronization method, quasi-real-time synchronization from the business database table to the operation data storage module is realized, and the table structure is adaptively adjusted when the business table structure is changed, so that the data consistency problem and the system interruption risk are reduced, the data synchronization efficiency and stability are effectively improved, and the user experience is improved. And the efficient and stable data synchronization requirements of the service are met.

The invention relates to the field of Bluetooth audio, in particular to a synchronization method for periodic broadcast in a Bluetooth device group and the Bluetooth device group, and the method comprises the following steps: establishing a connection with a main Bluetooth device; receiving periodic broadcast synchronous transmission information from the main Bluetooth equipment; and according to the periodic broadcast synchronous transmission information, synchronizing the periodic broadcast of the source device, and after the synchronization is completed, identifying the access Bluetooth device as the main Bluetooth device. According to the invention, the method does not need to obtain the address information of the source device from the main Bluetooth device and then scan and synchronize the PA, thereby reducing the power consumption of the access Bluetooth device; according to the embodiment of the invention, the access Bluetooth device directly obtains the periodic broadcast synchronization information of the source device from the main Bluetooth device, and appoints the synchronization time slot to carry out the periodic broadcast operation, and synchronization does not need to be carried out by scanning the broadcast where the periodic broadcast is located, so that the synchronization efficiency is remarkably improved, and the synchronization failure probability is reduced.

The invention relates to the technical field of data processing, in particular to a financial data synchronization method and system, computer equipment and a storage medium, and the method comprises the following steps: based on input financial data, performing formatting and data cleaning, preprocessing the data, analyzing fund flow data, and performing consistency verification on the fund data; inconsistent data are identified and recorded, and a consistency verification result is generated. According to the method, by analyzing the data and extracting the incremental data needing to be synchronized, the synchronization efficiency is improved, real-time updating of the data is ensured, prediction of synchronization task time is carried out in combination with calculation resource requirements and real-time system loads, the synchronization priority is calculated, the reasonability of resource use is improved, the synchronized data is comprehensively verified, and the synchronization efficiency is improved. Data missing, repetition and inconsistency are found and corrected in time, the accuracy and consistency of financial data are ensured, the efficiency of financial data synchronization is improved, accurate and timely transmission and updating of the data are ensured, and the financial management process is optimized.

The invention relates to an incremental data synchronization method based on primary key combination. The method comprises the steps that a mapping relation is established, keys of the mapping relation are formed by combining table names and main key values, and the values of the mapping relation are corresponding DML records; dML records are collected from the source library, whether main keys of the DML records exist in the mapping or not is checked, and if not, the DML records are directly added into the mapping; if yes, taking out the record of the same primary key from the mapping as an original record, and taking the DML record as a new record; if the type of the DML record is deelete, adding the original record and the new record into a sending queue; if the record is update, the original record and the new record are merged; if so, adding the original record into a sending queue, and adding the new record into mapping; and when the transaction is submitted, traversing all residual DML records in the mapping, writing the DML records into a sending queue, and sending the DML records to a downstream system for processing. According to the method, by optimizing the processing flow of the DML records related to incremental migration, rapid merging and efficient synchronization of incremental data are achieved, and the efficiency and accuracy of data synchronization are improved.

The invention discloses a cross-platform file incremental synchronization method, a computer device, a medium and a product. The method comprises the following steps: monitoring a determined to-be-monitored file in real time, obtaining file change information, dynamically obtaining a target coding algorithm and a target compression ratio, processing the file change information, obtaining intermediate file information, distributing a unique identifier and unique verification information for the intermediate file information, and obtaining target file data; detecting and acquiring a plurality of target network paths; and according to the network delay information, the bandwidth information and the reliability information, determining an optimal transmission path in the plurality of target network paths, and then transmitting the target file data on the path. The method is suitable for different operating systems and platforms, the optimal network path can be detected and selected for file transmission, and it is ensured that cross-platform file synchronization can be efficiently, stably and safely carried out under different network conditions.

The invention discloses a data merging optimization method and device for incremental data migration, equipment and a storage medium, and relates to the technical field of databases, and the method comprises the steps: carrying out the data collection of a source end database, and sequentially sending the collected data to a message queue; sequentially pulling the data from the message queue, merging the data, and converting the data into a data packet; performing execution sequence number distribution on the data packets; and based on the execution sequence number, sequentially playing back the data of the data packet to a target end database. According to the method, the effect of concurrent execution of the single-table data is achieved through data merging, the problem that the single-table incremental data cannot be executed in parallel due to the time sequence problem is solved, the method does not depend on the characteristics of the database, can be suitable for data migration synchronization of different database types, and is good in compatibility.

The invention discloses a power electronic equipment parameter verification method and device based on a power distribution management system, equipment and a medium. The method comprises the following steps: receiving a data synchronization instruction of a user, obtaining a to-be-synchronized first equipment parameter, and accessing and analyzing the data synchronization instruction to obtain a target power distribution management system of to-be-synchronized data; and then, for each target power distribution management system, calling a corresponding target database, comparing the first equipment parameter with the historical equipment parameter, when the first equipment parameter is determined to be consistent with the historical equipment parameter, marking the first equipment parameter as a redundant parameter, and refusing the first equipment parameter to enter the target database. By implementing the method and the device, redundant parameters can be effectively identified and processed, effective equipment parameters stored in the database are ensured, the stability and the reliability of a power system are improved, and the system fault risk caused by data errors is reduced.

The invention relates to a multichannel PCM data real-time acquisition and output system and method based on an ALSA framework, and the system comprises a multichannel analog quantity input unit and a multichannel analog quantity output unit, and also comprises a system configuration unit, a memory resource unit, an AD acquisition conversion unit, an audio routing unit, a DA output conversion unit and an ALSA DMA cache region distribution unit. The ALSA DMA cache region allocation unit is used for building a PCM data path of a user space and a kernel space and providing an annular cache region queue for storing DMA resource descriptors, and the audio routing unit obtains the returned DMA resource descriptors from the ALSA DMA cache region allocation unit and allocates the DMA resource descriptors to an output end to complete synchronous multichannel input and output of PCM data. According to the system provided by the invention, the ALSA DMA buffer area distribution unit is adopted, so that the DMA configuration process is simplified, and the data transmission efficiency is improved.

The invention belongs to the field of big data, and relates to a data synchronization method, comprising: acquiring a target timestamp recorded in a configuration table of a data management framework, the target timestamp being a maximum timestamp recorded in the configuration table when data synchronization processing is performed last time; the target timestamp is adopted as a screening condition, and incremental data with the timestamp larger than the target timestamp is inquired from the data source table; according to a field mapping relationship in the configuration table, determining a synchronization field which needs to be synchronized to the target table from the incremental data of the data source table; and on the basis of a preset unique field, matching the synchronization field of the data source table with the data of the target table, and on the basis of a matching result, synchronizing the synchronization field of the data source table to the target table. The invention further provides a device, equipment and a medium. In addition, the invention also relates to a block chain technology, and the configuration table of the data management framework, the target timestamp and the synchronization field of the data source table can be stored in the block chain. The incremental data synchronization efficiency can be improved.

The invention discloses a method and a device for incremental synchronization of files in a cluster, electronic equipment and a storage medium, and relates to the field of data migration, the method comprises the following steps: scanning source files to obtain first file field information of each source file and first metadata information of all the source files; calling all field information files and second metadata information corresponding to the first incremental synchronization task; comparing the first metadata information with the second metadata information to obtain a comparison result, and determining a field information file hit by the first metadata information; and matching the first file field information with the file field information of each source file in the hit field information file, determining an incremental file based on a matching result, and synchronizing the incremental file to the target cluster. The technical problem that in the related technology, when data migration is carried out, data in files of a source end and a target end needs to be compared one by one, so that incremental files are determined, incremental synchronization is carried out, and the synchronization efficiency is low is solved.

The invention discloses a data synchronization method and device, equipment, a storage medium and a product. The method comprises the following steps: setting a synchronization rule of a target server through the data synchronization system, and obtaining first to-be-synchronized data from at least one source server by the target server according to the synchronization rule; under the condition that the synchronization rule is utilized to determine that a current time point reaches a synchronization time point, first to-be-synchronized data of the at least one source server is obtained, and the first to-be-synchronized data is data which is different between the source server and the target server from the time after last synchronization to the current time point; and synchronizing the first data to be synchronized to the target server. According to the embodiment of the invention, the data synchronization efficiency between the double servers is improved.

The invention discloses a high-speed and high-precision phase locking method, which can accurately grasp the noise level, phase deviation and attenuation coefficient of a channel through quantum channel estimation, and provides important information for subsequent processing. Signal decomposition allows accurate representation of the signal on a quantum base, laying a foundation for noise suppression (S3) and signal reconstruction. And noise suppression utilizes a quantum mechanism, so that the efficiency and accuracy of signal processing are improved. Adaptive link establishment and time-sharing signal transmission aim at different transmission requirements, and the efficiency of communication link establishment and data transmission is optimized. And link monitoring ensures the stability and reliability of communication. On the whole, the method can improve the security, stability and efficiency of quantum communication, reduces the complexity of quantum signal processing, and provides powerful technical support for practicability and commercialization of quantum communication.

The invention relates to a data processing method and device, a storage medium and electronic equipment. At least one archiving log corresponding to a first database can be obtained, and the archiving log is used for recording data change operation of the first database; generating a plurality of preset log files, wherein at least one archiving log is stored in each preset log file; for each preset log file, obtaining a transaction identifier of a data operation transaction corresponding to each archiving log in the preset log file, the data operation transaction being a logic working unit of a group of data change operations; performing multi-thread parallel scanning analysis on the plurality of preset log files to obtain an analysis result of each archived log; and according to the transaction identifier and the analysis result of each archiving log, each data operation transaction is sent to a target terminal, the target terminal is used for executing a data change operation on a second database according to the data operation transaction, and the second database is a database performing data synchronization processing with the first database.

The invention discloses a multi-mode memristor neural network fixed time synchronization control method and system. The method comprises the following steps: establishing a multi-mode memristor neural network driving system and a multi-mode memristor neural network response system with random interference; according to the established multi-mode memristor neural network driving system and response system, a synchronization error is set, and a synchronization error system is constructed; according to a synchronization error system, a fixed time synchronization controller is constructed, and the fixed time synchronization controller acts on the response system, so that the response system is synchronized with the driving system at fixed time; and building a multi-mode memristor neural network model, carrying out numerical simulation by using the multi-mode memristor neural network model, and verifying a fixed time synchronization effect between the driving system and the response system. The method is high in control precision, and has a higher practical value in complex and changeable practical application scenes.

The invention provides a CMDB cloud resource synchronization method and system, and the method comprises the steps: obtaining an access key (Access Key) and a secret key (Secret Key) of a project to be accessed by a transportation management, and carrying out the authentication and authorization of API calling; a Go language is used for writing codes, a Go SDK toolkit is used for API calling, a virtual machine resource list is obtained through API calling, and virtual machine resource data is obtained through the Go SDK toolkit; mapping the obtained virtual machine resource data into a data model of a configuration management database (CMDB), and storing the virtual machine resource data into a database of the CMDB; performing database operation by using an ORM library of the Go language; and automatically executing virtual machine resource discovery operation at regular time by using a timed task library of the Go language. According to the invention, the resource discovery operation is automatically executed regularly, the efficient resource synchronization is realized, the manpower maintenance cost is reduced, and the reliability, availability and consistency of the system are improved.

The invention discloses a ship-shore data out-of-order synchronization method and device, electronic equipment and a storage medium, and the method comprises the steps: sending the compression information of a to-be-synchronized compression package to a shore end through a data synchronization request sent to the shore end, so as to enable the shore end to carry out the data synchronization detection based on the compression information, and obtaining a full bitmap of the data synchronization condition of the shore end; performing breakpoint detection on the data blocks based on the total bitmap to obtain breakpoint data; when the number of the breakpoint data is greater than the first number, retransmitting the breakpoint data to the shore end; otherwise, synchronizing the data blocks after the target block to the shore end in sequence; periodically acquiring a block receiving condition of a shore end, and updating the total bitmap based on the block receiving condition; and returning to execute the step of carrying out breakpoint detection on the data blocks based on the total bitmap to obtain breakpoint data, and carrying out a new round of data synchronization iteration until all the data blocks of the compressed packet are synchronized. The method can efficiently realize ship-shore data synchronization, and can be widely applied to the technical field of data processing.

The invention relates to the field of big data technology and financial science and technology, and discloses a data real-time labeling method, device and equipment and a storage medium, and the method comprises the steps: obtaining user information, collecting label information of the changed user information through a preset software development kit module, and sending the label information to a preset message component by using a non-blocking input and output mode, asynchronously writing the label information in the message component into a label library, and generating a real-time label by using change data of the label information in the label library. According to the invention, the data synchronization efficiency and the real-time label generation efficiency can be effectively improved.

The invention relates to the technical field of Bluetooth sound boxes, in particular to a Bluetooth sound box synchronous playing method and system. The method comprises the following steps: performing master device election on a Bluetooth loudspeaker box group to obtain a loudspeaker box group master device identifier; carrying out distributed time synchronization network construction on the Bluetooth sound box group based on the sound box group main equipment identifier to obtain a sound box group time synchronization network; performing environment signal scanning on the Bluetooth sound box group to obtain environment frequency band signal data; performing dynamic frequency band allocation on the Bluetooth loudspeaker box group based on the environment frequency band signal data to obtain a loudspeaker box group frequency band allocation scheme; performing network performance parameter monitoring on the Bluetooth sound box group to obtain a sound box group network performance parameter set; and according to the sound box group network performance parameter set, performing audio buffer area determination on the Bluetooth sound box group to obtain an audio buffer area distribution scheme. According to the invention, the accuracy and stability of audio synchronization are improved, the user experience is optimized, and the application scene of the Bluetooth sound box is widened.

The invention provides a synchronization system for DSSS pseudo code signals. The synchronization system comprises a capturing module, a pseudo code positioning module and a pseudo code tracking module. The synchronization method comprises the following steps: the capture module captures a pseudo code element in a DSSS signal; the pseudo code positioning module is used for preliminarily positioning a first pseudo code element in the first pseudo code signal; and the pseudo code tracking module obtains a synchronization result of the DSSS pseudo code signal. Three frequency spectrum enhancement modules in the pseudo code tracking module carry out frequency spectrum enhancement on detection results of frequency spectrum data after PMF-FFT operation of the three branches, correction of the maximum value of frequency domain module values of the three branches is achieved, and then related gain scallop loss of the maximum value of the frequency domain module values in the pseudo code tracking process is reduced. The synchronization precision is effectively improved; and meanwhile, the acquisition module does not need to participate in an FFT (Fast Fourier Transform) operation unit when acquiring the pseudo code elements in the DSSS signals, so that the delay of pseudo code acquisition is reduced, and the synchronization efficiency is effectively improved.

The invention relates to the technical field of cloud mobile phone multi-terminal data synchronization, in particular to a cloud mobile phone multi-terminal data synchronization system and method. According to the technical scheme, the system comprises a cloud server, a plurality of terminal devices and a data synchronization module; the cloud server combines a distributed architecture and an edge computing technology and is composed of a plurality of data centers distributed at different geographic positions, and each data center is provided with a high-performance server cluster and a large-capacity storage device. According to the cloud mobile phone multi-terminal data synchronization method, a distributed architecture is combined with edge computing, advanced technologies such as artificial intelligence, quantum encryption and deep learning are applied, efficient data synchronization, high security, adaptive interface adjustment and personalized synchronization strategies are achieved, the method has high reliability and stability, the real-time synchronization requirement and security guarantee of a user are met, and the method is suitable for large-scale popularization and application. And user experience is improved.

The invention discloses an intelligent central control system for a commercial tablet computer, relates to the technical field of central control of commercial tablet computers, and is used to solve the problem of poor central control efficiency; it comprises a data synchronization module, a model algorithm analysis module, a central state synchronization module, and a central control module; the invention classifies data and sets synchronization rules for the tablet computer, uses a Merkle tree to identify data differences between devices, synchronizes changed data blocks, and applies an ARIMA model to perform time series analysis on network and system performance indicators to determine subsequent performance changes, then introduces an isolation forest algorithm to enhance the system's ability to detect abnormal points, can quickly locate and respond to performance abnormalities, improve the stability and reliability of the system, and continuously monitors the synchronization of performance indicators of the commercial tablet computer with actual operating conditions, obtains key control impact information in real time, thereby generating a central request control signal or a stable operation signal, and performing corresponding central control.