152 results about "Data coherency" patented technology

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 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 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 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.

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.

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.

A global policy-driven framework for managing, revising, and implementing data coherency policies in a distributed data storage system. An edge node of the distributed data storage system receives a request from an application to store a data object in the system. The edge node, in response to receiving the request to store the data object, generates a coherency policy request, which is then submitted to the primary node of the system. The primary node of the system generates a coherency policy response, which is returned to the edge node. The edge node then stores the data object in the system in accordance with the coherency policy response.

The invention relates to the technical field of Internet of Things and big data, in particular to a TDengine-based time sequence message queue system and method.The system adopts a distributed architecture and comprises a message producer, a TDengine-based message storage layer (provided with a super table-subtable structure, a super table corresponding queue and a subtable storage message), a message consumer and a management monitoring module; messages are written into storage in a batch mode, a consumer polls and pulls the messages to be consumed every 100 ms, the state is updated after processing, data consistency is guaranteed through write-in confirmation, read-out confirmation and msgid, the peak value write-in rate reaches 30 thousand pieces per second, the single-node CPU peak value reaches 52%, and the consumption backlog result is achieved. The problems that an existing system is bottleneck in performance, insufficient in storage expansibility and lack of time sequence optimization are solved, and the large-scale real-time time sequence data processing requirement is met.

The invention discloses a remote control joint debugging test method and system based on a new energy station, and relates to the field of remote centralized control, and the method comprises the steps: exporting a channel point table, a protocol and server resources of a centralized control side and a station side according to the equipment and configuration deployed by the new energy station and a centralized control center, and carrying out the remote control joint debugging test in an isolation network; building a simulated real environment through an independent simulation test platform; instruction transmission and data consistency verification are carried out through the simulation test platform, and a multi-dimensional data verification model is introduced to carry out consistency verification on the communication point table of the new energy station and the centralized control center; according to the simulation data, open-loop instruction verification is carried out in a real environment, after the instruction verification is correct, a remote closed-loop test is carried out, and the consistency verification of the actual action and the adjustment effect of the equipment is carried out; according to the real-time data, a risk prediction model is constructed, risk assessment is carried out, and risk real-time visualization is realized through an automatic report generation method. And the reliability of remote control operation is effectively improved.

This invention discloses a real-time synchronization management system for campus payment data oriented towards a multi-platform architecture, relating to the field of real-time data synchronization technology. This system includes: a heterogeneous data acquisition and preprocessing module for acquiring all campus payment data and performing timeline relocation and normalization processing; a data and incremental synchronization module for establishing an incremental synchronization link from the cloud to the terminal and generating fragmented synchronization control results; a real-time data verification module for evaluating request validity, executing local event processing, and recording feedback; and a monitoring and consistency assurance module for performing full-platform data consistency assessment and identifying abnormal states. This invention effectively improves the efficiency and accuracy of data synchronization and solves the problems of verification failure caused by mixing old and new data, incomplete indexing, and inconsistent mapping.

The invention relates to the technical field of electric power automation, and discloses a distribution network fault scheduling operation command intelligent generation system, which performs time domain synchronization on multi-source heterogeneous data through a vector mapping module, and constructs a global state vector space; the task decomposition module discretizes a scheduling task into an instruction atom sequence containing cost estimation, and generates an execution queue by utilizing topological sorting; the constraint verification module establishes a power grid simulation environment, and performs security evaluation, violation detection and dynamic rearrangement optimization on the sequence based on real-time load flow calculation; the interaction control module cooperates with the operation terminal to execute instruction issuing based on voice repetition semantic verification and augmented reality projection; and the closed-loop monitoring module executes data consistency management and control based on a snapshot chain and physical topology identification based on residual analysis. In addition, the system realizes equipment identity authentication by using a physical unclonable function. According to the invention, global optimization and whole-process safety control of distribution network fault scheduling instruction generation are realized.

According to the factory management system data access method and system based on double-entrance hybrid deployment provided by the invention, through a double-entrance hybrid deployment architecture and a dynamic perception control mechanism, deep decoupling of client-side independent deployment sense and actual cloud storage is effectively realized; users of small and medium-sized enterprises can perceive a traditional local deployment system in a use process, so that psychological obstacles on data cloud are eliminated; meanwhile, all core production data are centrally stored in the cloud, the professional safety protection capability and the low-cost storage advantage of a cloud service provider are fully utilized, a company headquarters can directly access production operation data of customer factories in real time through an independent public network entrance, and efficient remote management and control and unification and coordination of multiple factories are achieved. According to the scheme, on the premise that local hardware burdens of clients are not increased and data consistency is not sacrificed, contradictions in three aspects of safety, cost and management efficiency are balanced, and the digital transformation requirements of vast small and medium-sized manufacturing enterprises in China at present are particularly met.

The application discloses a kind of in data asset management implementation multi-source heterogeneous data correlation query method, it is related to electric digital data processing technical field.The in data asset management implementation multi-source heterogeneous data correlation query method includes the following steps: data source fault evaluation execution determination;Data query optimization execution determination;Data synchronization optimization execution determination.The application judges whether to carry out data source fault evaluation by query request error rate, then judges whether to carry out data query optimization according to data source fault evaluation parameter after data source fault evaluation, finally if not data query optimization, then carry out data source fault detection, otherwise according to data consistency evaluation parameter carries out data consistency evaluation after judgment whether to carry out data synchronization optimization, improve multi-source heterogeneous data correlation query accuracy, solve the problem that the existing technology does not consider the low multi-source heterogeneous data correlation query accuracy caused by data inconsistency.

The invention discloses a global shared storage method and device, electronic equipment and a storage medium, and particularly relates to the technical field of data processing. All the state information related to the data routing is stored in the global index of the first storage pool formed by the high-performance storage medium in a centralized manner, so that the computing node does not need to maintain the local state; the technical problems that fault recovery is complex, system expandability is limited and data consistency is difficult to guarantee due to the holding state of the computing node in a traditional architecture can be solved, and the technical effects that the system architecture is simplified, the system elasticity and expandability are improved, and meanwhile the overall cost and performance are optimized in a layered mode through the storage medium are achieved.

The invention belongs to the technical field of Internet of Things, and discloses an equipment monitoring data synchronization method, system and device based on Redis registration, which can reduce the waste of system resources, abandon the mode of dual data acquisition by a center and sub-nodes, and realize the synchronization of the equipment monitoring data through the modes of sub-node acquisition, Redis registration and center synchronization. The redundant consumption of calculation, storage and network bandwidth is reduced; the problem that the center cannot acquire the data when the partial node fails is solved, and the center end can actively update the state based on the equipment information stored in the relational database through a lease renewing timeout processing mechanism, so that the continuity of the monitoring data is guaranteed; through Redis registration information (partial nodes and equipment) and a UUID unique identifier, accurate synchronization of data of the center end and the partial end is realized, and data conflict or confusion is avoided; and the method is suitable for a complex Internet of Things monitoring system with a distributed structure, and can flexibly meet the state information synchronization requirement of large-scale Internet of Things equipment.

The invention discloses a cross-regional construction site-oriented edge smart center data scheduling method and system, and the method comprises the following steps: receiving construction site heterogeneous data streams, and outputting a hierarchical data stream set; constructing a virtual queue to represent backlog and default risks, and adopting an online optimization mechanism of an SODA algorithm to generate a scheduling strategy; queueing and channelizing the hierarchical data stream set according to a scheduling strategy to obtain a channelized data stream set; based on the channelized data stream set, dynamic degradation is executed according to a scheduling strategy when resources are insufficient, and a degraded data stream set is generated; the switching cost of the degraded data stream set is calculated, and a stable scheduling strategy is obtained; freezing current scheduling execution according to a stable scheduling strategy, and outputting a supplementary transmission task sequence; and performing duplicate removal and selective supplementary transmission on the supplementary transmission task sequence, and outputting an audit record through an auditable replay mechanism. According to the invention, the timeliness guarantee capability and the data consistency of cross-regional data transmission are improved.

Embodiments of the present application provide a log synchronization method and device, electronic equipment and storage medium, belonging to the technical field of data processing, the method is applied to a distributed system, the distributed system includes a plurality of nodes, the method comprises: determining a prophet node from the plurality of nodes, controlling the prophet node to send a query request to the nodes other than the prophet node, thereby controlling the prophet node to retain uncommitted logs meeting the effective condition according to the log information, determining the latest log item, and determining a candidate node from each node according to the latest log item, selecting a leader node from the candidate node according to a preset voting rule, and then controlling the leader node to perform a log synchronization operation on each node other than the leader node according to the latest log item, thereby ensuring that only uncommitted logs meeting the effective condition are retained in the uncommitted logs when the log synchronization is performed, so as to reduce the influence of the uncommitted logs and improve the data consistency effect.

This invention discloses a data and application collaboration method for digital converter stations based on a cloud-edge collaborative architecture. The method includes: a common component of the digital converter station using a multi-level caching mechanism to store basic data; the digital converter station access interface receiving external requests to access the basic data; the common component of the digital converter station using load balancing technology to evenly distribute the external requests to multiple service instances; and multiple service instances obtaining the required basic data and feeding it back to headquarters or provincial companies. This invention provides a unified and standardized basic data access interface based on the common component of the digital converter station, ensuring data consistency and interoperability between different application systems; meeting the needs of multiple application systems of the digital converter station for high-frequency access and large-volume data read / write; meeting the access needs of the common component of cloud-edge business systems in high-concurrency scenarios; and optimizing data transmission paths and reducing data access latency through the cloud-edge collaborative architecture.

The application relates to the technical field of Internet data transmission and processing, and discloses a network marketing promotion information synchronization method based on multi-terminal cooperation, which comprises the following steps: firstly, a service working thread calculates a score according to a terminal equipment type, a network and a power supply state, and establishes a peer-to-peer network connection according to the score; a main thread resource request is intercepted and mapped into a virtual flow, and data is transmitted through the peer-to-peer network. The main thread monitors resource visibility by using a cross observer, and dynamically adjusts transmission priority and bandwidth. When a transmission timeout is detected, the method automatically switches to an HTTP request to obtain remaining data and complete splicing. In addition, the main thread calculates a budget according to a remaining idle time of a rendering frame, receives data through a memory ownership transfer mechanism, and updates a business state in combination with clock compensation. The application can effectively reduce server bandwidth cost, avoid main thread blocking, and improve page rendering fluency and data consistency.