193 results about "Data coherency" patented technology

The invention, which relates to the technical field of customer relationship management, discloses a multi-channel interactive customer relationship management system comprising a dynamic routing decision module, a multi-modal data fusion module and an intelligent feedback optimization module. The dynamic routing decision module evaluates channel load through a deep neural network, dynamically allocates client requests to an optimal node by utilizing reinforcement learning, and realizes load balancing and service continuity; the multi-modal data fusion module integrates text, voice and image data, constructs a space-time correlation graph, identifies a cross-channel behavior mode, and ensures data consistency through multi-dimensional verification; the intelligent feedback optimization module combines customer satisfaction evaluation and multi-modal sentiment analysis, optimizes a service strategy by using a genetic algorithm, and synchronizes the service strategy to a cross-channel knowledge graph to realize adaptive iteration; according to the method, the problems of unreasonable multi-channel load distribution, insufficient data fusion and consistency verification and inaccurate service strategy optimization are effectively solved, and the customer service quality and experience are improved.

The invention provides a supply chain product traceability system, method and device based on a block chain, and a medium, and belongs to the technical field of block chains. The system comprises a data acquisition module which is arranged in a plurality of information terminals in a supply chain and is used for collecting product information, carrying out preliminary format conversion and encryption processing, and sending the product information to a block chain network; the block chain network is used for realizing data consistency through a consensus algorithm and storing product information by adopting a distributed account book technology; the data query module is used for providing a product traceability information query service by initiating a query request to a block chain network, and obtaining product supply chain information according to the authority of a query terminal; and the intelligent contract module is deployed on the block chain network and is used for automatically executing the business rules in the supply chain according to predefined intelligent contract code logic. According to the invention, real and reliable recording and efficient query of the full life cycle information of the product are realized by using the block chain technology, and accurate product traceability information is provided for consumers.

The invention discloses a resource awareness and task migration method and system for industrial edge nodes. The method comprises the following steps: constructing an edge node resource dynamic monitoring system, and sensing, calculating, storing and network resource states in real time; establishing a node health degree evaluation model, and predicting a potential fault risk; designing an intelligent task migration decision-making mechanism based on a resource state; the guarantee of data consistency and service continuity in the task migration process is realized; and constructing a distributed task scheduling optimization framework. The system comprises a resource monitoring module, a health assessment module, a migration decision module, a data synchronization module and a scheduling optimization module. According to the method, the problem of unstable task execution caused by dynamic resource change in an industrial edge computing environment is solved, and intelligent resource management and efficient task migration of the edge nodes are realized.

The invention relates to the technical field of distributed system transaction management, and discloses an inventory consistency management method and device based on distributed transactions, and the method comprises the following steps: pre-occupying an inventory, and recording the state information of the inventory to a Redis hash structure; after the inventory is pre-occupied successfully, generating a pre-deducted snapshot, generating a compensation identifier, and writing the pre-deducted snapshot and the compensation identifier into a MySQL transaction log together; verifying the uniqueness of the compensation identifier, and submitting the current database transaction after the uniqueness of the compensation identifier is confirmed; when the submission of the current database transaction fails, executing a compensation operation on the current database transaction; and after the compensation operation is executed, performing data consistency verification on the MySQL transaction log and the Redis hash structure. According to the method and the system, the consistency of inventory management during distributed transaction processing is highly guaranteed.

According to the read transmission bridging device and method for the AXI master device and the CHI request node, the master device which does not support cache consistency can be interconnected with a CHI bus to perform read transmission and maintain the cache consistency and address allocation of the whole system under the condition that the design is not modified, and the device has good compatibility, conforms to a standard AXI4 protocol and a standard CHI protocol, and is convenient to use. And the device maintains the cache consistency in the system, ensures the data consistency when the master device accesses the shared data, and avoids errors caused by non-updating of the cache or conflicts. According to the read transmission bridging device of the AXI master device and the CHI request node, the AXI master device is connected to the request node of a CHI bus, a central processing unit (CPU) is connected to the request node of the CHI bus, and an external device and a memory are connected to a completion node of the CHI bus.

The invention discloses a natural resource investigation monitoring system based on artificial intelligence, and the system comprises a data sensing layer which carries out the whole space-time coverage monitoring of mountain field water resources through a multi-source remote sensing device and an edge calculation node; automatically adjusting the weight of each data source by adopting a dynamic weight multi-modal fusion algorithm; according to the data fusion layer, original data, a processing flow and a model result are encrypted and stored through block chain nodes, data conflicts are detected through a graph neural network, and conflict marks are generated in combination with policy rules; verifying data consistency by a dynamic conflict detection algorithm; according to the intelligent analysis layer, natural resource, forest grass and water conservancy departments locally train exclusive models, and a knowledge-driven reasoning module generates analysis results in combination with geographic knowledge maps and policy rules. According to the application service layer, a three-dimensional space-time model integrates remote sensing data, an Internet of Things sensor and GIS information, the consistency of analysis results and policies is automatically verified through a rule engine, and law enforcement suggestions are generated.

The invention relates to a modeling and formalized verification method for cache consistency protocol verification, and the method comprises the steps: building a protocol model which comprises a plurality of processor nodes, directory nodes and a communication mechanism through a structured modeling mode, and constructing an asynchronous message mechanism to simulate disordered concurrent communication; protocol behavior rules such as processor requests, directory responses and network receiving are defined, protocol property invariants are set, semantic constraints such as data consistency, confirmation before writing and sharing state legality are covered, model verification is carried out in a state space traversal mode, breadth-first search and a symmetry recognition mechanism are supported, and the method is suitable for the protocol behavior rules. A protocol error or deadlock state is effectively found, a traceable error path is generated, a verifier can automatically generate source codes through a compiler and operate on a host platform, and rapid verification and result output of a protocol model are achieved. The method has good protocol adaptability and model reusability, and is suitable for formalized verification of various cache consistency protocols.

The invention provides a multi-platform informatization construction system and method based on a computer, and solves the problems that existing multi-platform data synchronization is not timely, formats are not compatible and the like. The system comprises a real-time data capture module, and a data change event is generated in real time through database transaction log monitoring; the intelligent routing decision module optimizes a transmission path in combination with rules and machine learning; the data conversion adaptation module realizes automatic adaptation of a format and an interface by utilizing dynamic template matching; the conflict detection and resolution module guarantees data consistency based on version control and priority judgment; the data synchronization execution module transmits data according to an optimized path, and the monitoring management module monitors the whole process in real time. The method comprises the steps of data capture, routing decision, format conversion, synchronous execution and monitoring feedback. According to the scheme, the data synchronization efficiency and accuracy are improved, the multi-platform integration operation and maintenance cost is reduced, and the method is suitable for multi-scene informatization construction of enterprises, government affairs and the like.

The invention relates to a micro-service architecture system based on business function and data double isolation, and the system comprises a business function splitting module which splits a single application into independent micro-services; the data physical isolation module is used for distributing an independent database instance for each micro-service; the dynamic routing control module is used for dynamically distributing flow through a load sensing strategy and integrating a fusing mechanism; and the gray release module supports flow hierarchical diversion and abnormal automatic rollback, and ensures safe switching of service versions. According to the invention, by realizing double isolation of service functions and data, the independence and the expandability of the system are improved, and the data coupling degree and the maintenance cost are reduced; the stability and reliability of the system are ensured, and the risk in the migration process is reduced; according to the method, rapid iteration and continuous delivery can be realized, the development and deployment period of new functions is accelerated, and the user experience is improved through efficient service governance and data consistency guarantee, so that the system can better cope with challenges of high concurrent access and distributed transaction processing.

The invention provides an aluminum electrolysis cell multi-source data fusion acquisition system, and relates to the technical field of electrolytic aluminum. The system comprises a 5G edge computing node and a central control system which are in communication connection, the 5G edge computing node is further electrically connected with field execution equipment, and the 5G edge computing node is deployed in an electrolytic cell field and has a 5G communication module, an embedded computing unit and a multi-interface access capability. The 5G edge computing node comprises a multi-source data acquisition module, a data fusion and preprocessing module and a data uploading and feedback module, the multi-source data acquisition module is electrically connected with a plurality of sensors and cameras on an electrolytic cell, real-time acquisition of multi-dimensional data is realized, timestamps are stamped on various sensor data through a unified time reference, and the data are uploaded to the electrolytic cell through the data uploading and feedback module. And the heterogeneous data is fused based on the timestamp, so that the data acquisition time difference is eliminated, and the data consistency is improved. According to the invention, high frequency, multi-source fusion and low delay can be realized so as to adapt to higher requirements of the industrial Internet of Things on real-time performance and intelligence.

The invention discloses a decentralized high-performance multicast method and system based on Gossip and RDMA, and relates to the field of computer network communication. The method has better reliability, realizes zero-loss transmission of data packets through message de-duplication, timeout retransmission, ACK / NACK convergence and a dynamic topology adaptation mechanism, ensures data consistency, and solves the problem of insufficient reliability of traditional UDP multicast; the method has the advantages that the real-time performance is high, the delay is low, the throughput is high, the zero copy and kernel bypass characteristics of the RDMA and the batch processing mechanism of the MPMC are combined, the average delay is lower than 10 microseconds, the throughput in a large data packet scene reaches 374GB / s, and the low-delay requirements of high-frequency transaction, high-performance calculation and the like are met; the method has high expansibility, is based on a decentralized architecture of an improved Gossip protocol, does not need core node maintenance topology, supports dynamic joining or quitting of nodes, can adapt to large-scale cluster expansion, and solves the expansibility bottleneck of centralized multicast.

The invention relates to the technical field of data synchronization, in particular to an incremental synchronization and verification method and system for an access control authorization list, and the method comprises the steps: initializing a terminal and a server; the server side obtains the list change data to progressively increase the version number, and pushes the version number to the terminal equipment; the terminal initiates an incremental request to the server according to the notification message and obtains a server response incremental data block; the terminal performs multi-factor data verification on the incremental data block; performing cyclic synchronization on the incremental data; the terminal performs full-amount consistency verification on the incremental data; server real-time message notification and long connection transmission are adopted to replace a traditional polling mechanism, and the millisecond-level response speed is achieved; the rpcx protocol is matched with a proto binary format to perform data transmission, so that the protocol header overhead is reduced, and the serialization efficiency is improved; a multi-factor data verification mechanism is introduced, list number verification, incremental version number continuity verification and full-text hash verification are combined, a multi-level data consistency guarantee system is constructed, and the problems of data missing and wrong sending are avoided.

The invention belongs to the technical field of intelligent property and digital interaction, and discloses a property service scene-oriented digital human all-in-one machine and a multi-mode interaction method. According to the invention, a cloud edge-end collaborative architecture is adopted, and a full-stack solution is constructed through a multi-modal sensing and interaction module, an edge computing and control module and a cloud collaborative platform; the core lies in four cooperative technologies: dynamic multi-modal fusion based on gated cross attention and online reinforcement learning, event-driven process management of a hierarchical state machine and persistent context, reliable cross-system cooperation of a sender box mode and transactional messages, and adaptive resource scheduling of environment compensation and multi-objective optimization. According to the invention, high-reliability intelligent service is realized, the interaction success rate in a complex environment is remarkably improved, the data consistency of the heterogeneous system is high, the performance is stable under extreme conditions, and the system can replace a manual foreground to adapt to various property service scenes such as office buildings and parks.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention discloses a port supply chain service-oriented proprietary cloud multi-stage migration rollback control system, relates to the technical field of proprietary cloud migration, and aims to solve the problems of complexity and uncertainty of rollback decision in a cloud platform multi-stage migration process. A service influence level and a recovery cost level are obtained based on service system importance mapping and an affected system set, a migration state tuple, a fault level, a data consistency gear and the service influence level are used as input to drive a finite-state machine, and when specific conditions are met within a week after cutting of a stage 2, automatic decision is made to return to a stage 0; and after a window is exceeded or an old platform is dismantled, returning to the stage 0 is automatically forbidden, and disaster recovery backup switching or self-healing is preferentially selected, so that a set of structured and executable backspacing opportunity and path control mechanism is formed in a port supply chain service proprietary cloud multi-stage migration scene.

The invention discloses a memory synchronization method and system in a virtualization fault-tolerant environment, and relates to the technical field of data processing. The method comprises the following steps: capturing a memory write-in operation of a main node of a virtual machine, and generating a memory write-in log; dividing the memory write-in log into a plurality of memory data blocks through multi-thread processing; synchronizing the memory data block into the memory of the virtual machine standby node, and maintaining heartbeat detection between the virtual machine master node and the virtual machine standby node; and when detecting that the heartbeat of the main node of the virtual machine is abnormal, triggering the standby node of the virtual machine to carry out rollback takeover by utilizing the synchronous memory data. The technical problems that in the prior art, in the virtualized fault-tolerant environment, the memory data synchronization efficiency of main and standby virtual machines is low, the data consistency guarantee is insufficient, and the main node fault takeover delay is large are solved, and the technical effects that the memory synchronization real-time performance and accuracy are improved, rapid seamless takeover of the standby node is guaranteed, and service continuity is ensured are achieved.

The invention discloses a transaction request processing method and device, a storage medium and electronic equipment. The method comprises the steps that a business transaction request sent by a second transaction system is received in a target time period, and the first transaction system and the second transaction system are used for processing the business transaction request in parallel in the target time period; analyzing the business transaction request, and determining a transaction serial number; analyzing a sequence log according to the transaction serial number, determining a service serial number corresponding to the transaction serial number, the sequence log being generated by a second transaction system in advance according to the service transaction request, and the service serial number being a random number used for identifying the service transaction request; generating a first business processing result according to the business transaction request; and storing the first service processing result, the service serial number and a mapping relationship between the first service processing result and the service serial number. The technical problem that the new and old transaction systems cannot guarantee the data consistency in the parallel double-sending stage is solved.

The invention relates to the technical field of integrated circuits and distributed computing, in particular to a chip computing network-oriented clock synchronization method, which is convenient for a receiving end to quickly identify and reduce analysis overhead by customizing a simplified synchronization frame format. A hardware synchronization module is deployed between a physical layer and a link layer to record a high-precision timestamp to eliminate an error caused by protocol stack processing, and a slave node calculates clock skew based on timestamp information interacted by a master node and a slave node and corrects the clock skew in real time to realize accurate synchronization. Master-slave roles are independently configured through each communication port, and automatic topology discovery is supported to adapt to a complex network structure. According to the method, an existing routing protocol and a physical link of the chip are reused, hardware overhead is reduced, synchronization precision is high, flexibility is high, the method can be widely applied to a computing network formed by an artificial intelligence acceleration chip graphics processor, a data processor and the like, and multi-chip cooperative computing efficiency and data consistency are effectively improved.

The invention discloses a remote cooperative verification and communication management system and method for a metering instrument, and relates to the technical field of instrument intellectualization. The method comprises the following steps: acquiring environment data and original instrument data of a plurality of metering stations through an Internet of Things communication protocol, and transmitting the original data to a remote communication management center for protocol adaptation processing to generate standard data frames in a unified format; further performing semantic standardization on the standard data frame to obtain a data set for verification; and constructing a cross-site mutual parameter verification model based on the data set and the environmental data, calculating a deviation value of each metering instrument, determining a cooperative verification priority index of the metering instruments in combination with a historical error change trend, generating a remote cooperative verification list containing verification task distribution information, and sending the remote cooperative verification list to a server. And the information is issued to each site for execution through an Internet of Things communication protocol. The remote automatic verification scheduling and data consistency guarantee of heterogeneous instruments is realized, and the efficiency and reliability of multi-site collaborative verification are improved.

The invention relates to a distributed data consistency characterization and credibility verification method based on a block chain, and the method comprises the steps: collecting multi-source power grid operation data in real time among a dispatching master station, a transformer substation and edge equipment, carrying out the unified structural processing of the multi-source power grid operation data, and extracting a hash abstract to guarantee the normalization of a data source; hash abstracts generated by all the nodes are uploaded to a consistency comparison engine, a multi-dimensional consistency calculation model is established based on key parameters including timestamps, voltages and currents, and data differences and conflicts are identified; state coding is carried out on a comparison result, a power grid data consistency state identifier is generated, and the state identifier is written into a block chain in combination with a device ID and a time label; and the system constructs an index mapping mechanism based on the on-chain state identifier, so that the master station and the dispatching center can perform cross-system consistency verification. According to the method, automatic consistency judgment and credible evidence storage of the distributed power grid data can be realized, and the accuracy of cross-system data sharing, the real-time performance of verification and the safety of system operation are improved.

The invention relates to the technical field of cloud computing and data disaster recovery, in particular to a government affair cloud cross-data-center disaster recovery data replication method and a government affair cloud disaster recovery system. Generating an optimal strategy comprising an execution time sequence, a target backup virtual machine, a target encryption service and a target front node; issuing a backup instruction with a unique task ID to a backup agent in a specified user VPC according to the optimal strategy, and triggering data backup; after receiving a backup success feedback, scheduling the target encryption service to execute data encryption; and after the completion of encryption is confirmed, reading the encrypted data from the front node, writing the encrypted data into a disaster recovery center through a parallel transport stream, and triggering data consistency verification. According to the method, accurate resource allocation and automatic process connection are realized through intelligent scheduling and task IDs, the backup efficiency and the resource utilization rate are effectively improved, and the data reliability is enhanced through consistency verification.

The invention discloses a distributed identity verification method for realizing heterogeneous chain communication compatibility based on a cross-chain contract, and relates to the technical field of distributed identity and cross-chain, and the method comprises the steps: creating a distributed digital identity account containing a unique identifier, a key pair and attribute information for a cross-chain user and a node, generating a certificate through auditing of a trusted node, and synchronously storing the certificate; deploying cross-chain middleware containing a cross-chain smart contract and a multi-center gateway, and providing a unified calling interface needing to be signed by a private key; a cross-chain communication protocol is adapted, data are encrypted hierarchically, and a block period is coordinated; constructing a cross-chain smart contract containing four interfaces; after a user initiates a request, the request is verified by a gateway and a contract, and cross-chain operation is executed by a token; and the gateway performs routing transaction, synchronizes the data after the contract confirms the result, and verifies the consistency of the cross-chain data. According to the method, the heterogeneous chain communication compatibility problem is solved, the cross-chain identity verification efficiency and credibility are improved, the contract function integrity is enhanced, and the multi-scene cross-chain requirements of finance, supply chains and the like are met.

The invention discloses a hybrid protocol-based efficient hierarchical parallel Byzantine consensus method, which comprises the following steps of: constructing network nodes into a plurality of consensus groups capable of processing transactions in parallel and a verification group responsible for sequencing and confirming global transactions of a system, and introducing a self-adaptive hybrid consensus protocol mechanism into each consensus group, dynamically switching between a two-stage protocol and a three-stage protocol according to a network state; an efficient protocol switching and state fallback algorithm under parallel fragmentation is designed, when a protocol is switched from a two-stage to a three-stage, the safety fallback and data consistency of a consensus state can be ensured, and the robustness of system operation is ensured; each consensus group submits the transaction batch subjected to intra-group consensus preliminary processing to a verification group; the verification group globally sorts and verifies the transaction batches from all the consensus groups, and blocks are finally generated in sequence; and the block is broadcasted and distributed to all consensus groups, and each consensus group performs final verification and state submission on the block to complete a round of complete global consensus. According to the method, the problems of high communication complexity and insufficient expansibility are solved, and the consensus process parallelism and the overall operation efficiency are improved under Byzantine fault tolerance.

This invention relates to the field of network connectivity control, and particularly to an intelligent network switching method, medium, and device based on a dual-connectivity architecture. When both Wi-Fi and cellular networks are enabled simultaneously, this method establishes and maintains two connections at the application layer pointing to the same server, binding the Wi-Fi and cellular network interfaces respectively. By monitoring the network quality parameters corresponding to the two connections in real time, when the Wi-Fi network quality parameter consistently falls below a preset threshold, and the cellular network consistently outperforms Wi-Fi, the system switches from Wi-Fi to cellular; when the Wi-Fi quality parameter consistently exceeds the threshold, it switches back to Wi-Fi, thus avoiding frequent switching. A unique sequence number is assigned to each data packet, and the server deduplicates data to ensure consistency. This method, through dual connectivity, real-time monitoring, differentiated switching, and data deduplication, solves problems such as untimely network switching, high latency, and poor stability, improving the communication quality and user experience of mobile terminals.

A big-data view integration platform generates integration guided user interfaces (GUIs). A first edge node ingests push-based and pull-based data from a plurality of platform services, which include legacy and non-legacy services having incompatible communication protocols. An event-based queue receives from the first edge node a plurality of queue events as indirect push-based data. A second set of queue events includes direct push-based data as received directly from a non-legacy platform service. A conformity component integrates the push-based data, the pull-based data, and the plurality of queue events into integration data having an enhanced integration format. A view integration component generates a plurality of data views from the integration data. A second edge node exposes the plurality of data views via an access services application programming interface (API). A new service execution component accesses the access services API to generate integration GUIs based on the data views.

The application relates to a data pre-synchronization method and device for network controller switching and electronic equipment, the method comprising: obtaining historical data of network operation, and extracting features including traffic peak period and node fault history to form a feature set representing network state; identifying the network state based on the feature set and outputting a prediction result of the network state; in response to the prediction result reaching a switching threshold, outputting a pre-warning signal and triggering a pre-synchronization mechanism; and in response to the network state being within a normal range or controller switching not actually occurring, triggering a rollback mechanism. The application can reduce the delay and risk of data inconsistency during network controller switching by intelligently predicting network state changes and performing data synchronization in advance, thereby improving the stability and reliability of the network. Meanwhile, by providing a remedial rollback mechanism to restore the state of the backup controller to that before synchronization, the data consistency and stability of the system can be ensured.

This application relates to a method and system for ensuring data consistency between business systems based on bidirectional synchronization, belonging to the field of business data processing technology. The method includes: receiving incremental data events from at least two business systems and generating a vector label for each incremental data event; performing conflict detection on concurrently processed incremental data events based on the vector labels and outputting a conflict type identifier; selecting a corresponding synchronization channel based on the conflict type identifier and current system operating status parameters; transmitting the incremental data events to the target business system through the selected synchronization channel and monitoring the execution status, triggering a compensation transaction when execution fails; receiving response information returned by the target business system and updating the inter-system data flow topology based on the response information; detecting the existence of data loops based on the data flow topology, and performing loop blocking operations when a data loop is detected. This application can improve the collaborative efficiency and stability of multiple business systems.

The application provides a productivity middle platform micro-service granularity determination method, medium and system, and belongs to the technical field of electric digital data processing. Firstly, stable load indexes and fluctuation load indexes are obtained through productivity middle platform runtime parameter collection and multidimensional decomposition. Then, a business domain interaction matrix is constructed and singular value decomposition is performed to generate an initial micro-service division scheme. Next, an evaluation equation set containing data consistency, interface calling, business cohesion and service dependency is established. On this basis, a dependency complexity coefficient matrix is constructed, and an L-shaped domino covering algorithm is used to determine a service merging scheme. Finally, the system complexity is predicted through a service evaluation neural network model, and a genetic algorithm is used for iterative optimization until the optimal micro-service granularity scheme is obtained, thereby solving the technical problem that the productivity middle platform micro-service granularity cannot be dynamically and adaptively adjusted in the prior art.

The invention belongs to the technical field of information communication, and particularly relates to a network security monitor and a distributed network security intelligent analysis method, and the method comprises the following steps: S1, deploying a main-standby double-engine structure in each engine cluster of a distributed system; s2, adopting a federated learning framework, sharing model parameters by each local node on the premise of protecting data privacy, and realizing incremental training; an incentive mechanism is introduced into the federated learning framework; s3, when an attack behavior is detected, automatically triggering an isolation strategy and generating an alarm; according to the network security monitor and the distributed network security intelligent analysis method, the main engine and the standby engine are deployed in each engine cluster, the state of the main engine is monitored in real time through a heartbeat detection mechanism, and if the response of the main engine is not received within the preset time, the standby engine automatically takes over and synchronizes the memory state snapshot of the main engine; and therefore, the business coherence and the data consistency are ensured.

The application relates to a kind of enterprise multi-source data real-time synchronization systems based on data platform, the system adopts containerization deployment mode and layered architecture, including access layer, processing layer, distribution layer and control layer;Access layer communicates with data platform, obtains original data from data platform;Access layer is provided with data access adapter module, processing layer is provided with data format processing module, distribution layer is provided with data routing distribution module, control layer is provided with consistency guarantee module;Data access adapter module is used for the unified access of multi-source heterogeneous data;Data format processing module is used for data standardization processing to the multi-source heterogeneous data accessed;Data routing distribution module is used for intelligent data routing and distribution;Consistency guarantee module is used to ensure the consistency of data synchronization.The application reduces the delay of data synchronization, improves the system throughput, effectively guarantees the consistency of data, and is especially suitable for data synchronization and cross-system data integration scenarios of enterprise core business systems.