260 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.

The invention relates to the technical field of cloud computing, in particular to a cross-domain network node synchronization method and system for deploying a cloud platform. The method comprises the following steps: acquiring a cross-domain network deployment requirement of a target cloud platform and determining a node distribution strategy; designing a network topology structure supporting cross-domain communication and data synchronization; a distributed storage system supporting cross-domain data consistency is selected; realizing a cross-domain network node synchronization mechanism which comprises a heartbeat detection mechanism, an arbitration mechanism, a data synchronization mechanism and a configuration and state synchronization mechanism; and performing cross-domain network optimization and node fault switching and recovery according to a synchronization mechanism. Through a deployment strategy of multiple data centers, resource redundancy and a fault switching mechanism are realized, and the risk of a single point of fault is reduced; a network topology structure supporting cross-domain communication and data synchronization is designed, and the requirement of cross-domain virtual resource scheduling is met; and a distributed storage system supporting cross-domain data consistency is selected, so that the reliability and availability of the data are ensured.

The invention relates to the technical field of information communication, in particular to a plate warehousing method and system of the Internet of Things and a storage medium. The method comprises the following steps that an RFID reader-writer is initialized, near-field induction scanning of a radio frequency identification chip is carried out on furniture plates to be put in storage, and unique code information is obtained; performing data formatting processing on the unique coding information to obtain a standard coding query parameter; acquiring three-dimensional structure data of furniture plates to be put in storage, and identifying structural features of the plates; calling an API (Application Program Interface) of a remote data server based on the standard coding query parameters to obtain plate specification information; and performing template filling and code conversion on the plate specification information to obtain electronic tag image data. According to the invention, through integration of RFID, database synchronization, physical feature identification and path planning technologies, full-process automatic management of plate warehousing is realized, and efficiency, accuracy and data consistency are improved.

The invention belongs to the technical field of cross-data island consensus, and particularly relates to a cross-data island consensus verification method and system based on credibility scoring. According to the invention, by dynamically evaluating the trust degree of each data island and combining network state fluctuation, real-time verification and abnormal early warning of a consensus result are realized, the stability and safety of cross-data island cooperation are effectively improved, the data consistency is ensured, the data risk caused by network fluctuation is reduced, the self-adaptive capability of the system is enhanced, and the method is suitable for large-scale popularization and application. In the consensus process, historical interaction events and a current cooperation state of a data island are considered, efficient alignment of cross-island features is achieved through a gradient exchange mechanism, a standardized consensus data view is generated, in addition, self-adaptive adjustment of a consensus verification rule is ensured by pre-deploying a trusted execution environment, and the consensus verification efficiency is improved. And the consensus accuracy and efficiency are further improved.

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

The invention discloses a 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 discloses a heterogeneous computing system, a cache consistency maintenance method and device, equipment and a medium, and relates to the technical field of heterogeneous computing. The method comprises the following steps: determining a hotspot data access path at the current moment according to an access sequence and dependency relationship strength of each data block of the heterogeneous computing system at the current moment; generating current running state information according to the hotspot data access path, the workload information of the heterogeneous computing system at the current moment, the cache effective information and the cross-device communication information; and based on the relationship between the running state of the heterogeneous computing system and the cache coherence protocol type, determining the cache coherence protocol most matched with the current running state of the heterogeneous computing system according to the current running state information. According to the method, the problem that the cache consistency protocol cannot be effectively and dynamically optimized in related technologies can be solved, the cross-device data dependency relationship can be dynamically captured, the dynamic change can be accurately sensed, and the high performance and data consistency of the system can be ensured.

The invention relates to the technical field of cloud computing, in particular to a cross-domain PaaS cloud platform distributed architecture scheduling method and system. The method comprises the following steps: carrying out architecture design and deployment, deploying a main node, a standby node and an arbitration node in different data centers, and configuring network connection; carrying out load balancing configuration, setting a load balancer and a health check mechanism, and regularly detecting the state of a service node; designing a scheduling strategy, and designing a scheduling algorithm according to the node load condition, the resource utilization rate and the response time; and carrying out distributed database deployment and formulating an availability strategy, including configuring an arbitration node and designing a database availability strategy. High availability of the system is achieved through multi-data center deployment, the overall performance of the system is improved through intelligent load balancing and dynamic resource scheduling, data consistency and service continuity are ensured through an arbitration mechanism, the technical problems of a traditional PaaS architecture in the aspects of cross-region deployment, resource scheduling and disaster recovery are solved, and the system is suitable for large-scale popularization and application. And cross-domain multi-activity, intelligent scheduling and automatic disaster recovery are realized.

The invention provides a sparse approximate inverse Shenwei parallel preprocessing method and system for electromagnetic scattering, and relates to the technical field of processor parallel computing, and the method comprises the steps: carrying out the performance hotspot analysis of a sparse approximate inverse preprocessor in an electromagnetic scattering simulation process, and determining a hotspot function of the sparse approximate inverse preprocessor; extracting a sparse matrix vector multiplication operation of a hotspot function, performing master-slave core parallel calculation on the sparse matrix vector multiplication operation, migrating the sparse matrix vector multiplication operation to slave core calculation, and accelerating hotspot calculation by using a heterogeneous parallel sparse approximate inverse algorithm; parallel computing of master-slave core intensive numerical computing tasks is achieved; in the parallel computing process, the slave cores communicate with the master core in a direct memory access mode, and during the period, the master core is in a waiting state to ensure data consistency and communication synchronization until all the slave cores compute distributed tasks.

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 the technical field of information management systems, in particular to a full-process intelligent office system which comprises a data layer, an AI engine layer, a service engine layer, an application layer, an interface layer, a central data bus, a unified identity authentication center, a safety protection center, a system monitoring center, an intelligent workflow engine (1000), a real-time notification pushing mechanism and a multi-terminal adaptation framework. Data barriers of all departments of an enterprise are broken through through the AI technology, full-process data intercommunication is achieved, enterprise management forms a complete closed loop, and the management complexity and the information island problem are reduced; all functional modules are coordinated through a central AI agent, and data consistency and business process continuity are ensured. By realizing the full-process digital management of the enterprise, the system obviously improves the office efficiency of the enterprise, reduces the management cost, enhances the competitiveness of the enterprise, and is particularly suitable for the intelligent operation and management requirements of small and medium-sized enterprises and entrepreneurship teams.

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 discloses a method and system for realizing online logarithm sharing based on BIM lightweight and a medium, the method is applied to a cloud platform, and the method specifically comprises the following steps: obtaining construction engineering information of a plurality of engineering stages from a first terminal, and constructing a BIM three-dimensional data model according to the construction engineering information of each engineering stage; performing data layering and data compression based on the building engineering information of the plurality of engineering stages and the BIM three-dimensional data model to obtain a BIM lightweight data model; receiving request information of a second terminal, determining output data based on the request information and the BIM lightweight data model, and sending the output data to the second terminal; and receiving feedback information of the second terminal, and updating the engineering building information of the plurality of engineering stages according to the feedback information. The embodiment of the invention can realize data sharing and keep data consistency, and can be widely applied to the field of constructional engineering.

The invention provides a business system development method and device and a storage medium, and the method comprises the steps: in the business system development method, obtaining a visual configuration page based on a front-end low-code framework, configuring a data verification rule corresponding to the visual configuration page, and generating an initial business system based on the configured visual configuration page; and performing data synchronization processing on each service module in the initial service system, and generating a target service system, thereby realizing online development of the service system, improving the development efficiency through low-code development, reducing the development threshold, solving the problem of difficult updating of a mobile terminal through non-release updating, performing data synchronization on each service module, and improving the user experience. Therefore, integration of service modules of distributed transactions is realized, data consistency and high availability of the generated target service system in a distributed environment are ensured, and the development efficiency of the service system is improved.

The invention belongs to the technical field of power grid data processing, and particularly relates to a power grid data interaction and auditing method based on multi-source heterogeneous distributed data, which comprises the following steps of: identifying and accessing data sources; designing a data authentication protocol; compressing the multi-source heterogeneous distributed data; constructing a representation model of the multi-source heterogeneous distributed data; performing data processing on the data of different data sources to extract data features; on the basis of a cross validation idea of deep learning, compressed data records of different sources are compared through an algorithm, and the data consistency is verified so as to evaluate the authenticity of the data; establishing an audit log and a chain structure; deploying auditing rules and algorithms; an evaluation mechanism of audit results; according to the method, a charging facility and power grid multi-source heterogeneous data high-performance sharing interaction model is constructed, heterogeneous interfaces and protocols, multi-type data representation and compression, cross check and auditing are supported, and high-throughput and high-concurrency data interaction and cooperative execution of multiple types of nodes are achieved.

The invention discloses a container isolation and double-node management fused data integration governance method and system, and relates to the technical field of data integration governance. Communication time sequence data between a plurality of groups of main nodes and branch nodes of a hydropower station is monitored in real time, and deep analysis is performed by using a neural network model CNN; indexes such as data drift rate and data coverage difference can be accurately identified, and the data synchronization condition can be evaluated in real time. The accuracy of data synchronization between the nodes is promoted to be improved, and the data consistency and timeliness are ensured. By constructing the communication state model and deeply analyzing the data, the communication state can be accurately evaluated, and key communication indexes such as the uplink and downlink transmission ratio, the burst load index and the like can be identified. Once it is found that the communication state is unstable, the first governance strategy, the second governance strategy and the third governance strategy can be triggered, so that the data transmission path is optimized, the network load is adjusted, resource allocation is effectively optimized, and the overall operation efficiency of the system is improved.

The invention provides a service orchestration-oriented bidirectional compensation transaction consistency processing method and system, and the method comprises the steps: enabling a global transaction for a whole process through a data plane, and enabling a unique identifier of a current request node to serve as a corresponding branch transaction identifier to assemble initial branch transaction information before each request node starts to execute; updating the corresponding branch transaction information after the execution is completed; and finally, storing the branch transaction information of the current request node into a branch transaction information list corresponding to the flow in the global cache in sequence. And if the execution process of the whole process is not abnormal, returning a final processing result to the client after all nodes of the process are executed. If yes, a bidirectional transaction compensation mechanism is triggered, and a corresponding compensation strategy is executed according to the compensation mode. According to the method, the problem of data consistency in a service orchestration scene is solved, and deep application and development of a service orchestration technology in industries with extremely high requirements on data consistency are effectively promoted.

The present disclosure is related to vehicle-to-everything (V2X) and Intelligent Transport System (ITS) communications technologies, and in particular, to misbehavior detection and misbehavior reporting services for Collective Perception Messages (CPMs). The misbehavior detection mechanisms include one or more data consistency checks, including a multi-step systematic data consistency check within individual CPMs, across multiple CPMs from the same transmitter, and across multiple CPMs from different transmitters. Potential misbehaviors are reported to a misbehavior authority in one or more misbehavior reports.

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 relates to a hybrid architecture dynamic cache synchronization method based on a high-concurrency scene, and belongs to the technical field of computer Web application development. According to the method, a C + + dynamic link library is loaded when a JavaWeb application is started, and a cross-process cache storage space is constructed by utilizing a shared memory mechanism, so that data sharing among multiple instances is realized. And data interaction between Java and a C + + layer is completed by adopting a JNI interface, so that the Java garbage collection pressure is effectively reduced. Data consistency is guaranteed through an exclusive lock and read-write lock optimization mechanism, cross-instance update notification is realized in combination with event driving or message queues, and transaction type batch update is supported to ensure operation atomicity. A memory mapping file and an efficient data structure are innovatively adopted, the access efficiency is improved and the data copy overhead is reduced by combining a pre-allocation memory pool technology, the system throughput and the response speed are remarkably improved, the performance loss caused by memory fragments and lock competition is reduced, and the method is suitable for mainstream JavaWeb environments such as Spring frames and Tomcat servers.

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.

Various embodiments include techniques for processing memory operations in a computing system. The computing system includes a central processing unit (CPU) and an auxiliary processor, such as a parallel processing unit (PPU). The PPU can be divided into multiple partitions. Although the partitions are included in a single PPU, the CPU can track the partitions as if the partitions are independent devices rather than different portions of a single device. When two different partitions generate memory operations that access the same memory address in CPU memory address space, the two partitions employ two different data paths. The CPU can use path information for the two different paths to identify which partition generated each memory operation. As a result, the CPU can maintain data consistency and memory coherency in a system where a PPU is divided into multiple partitions.