103 results about "Network partition" patented technology

The invention discloses an optimized registration method and system based on a micro-service architecture. The invention relates to the technical field of Nacos systems. The health monitoring center is started and starts to send a health examination request to a downstream service at regular time; the gateway access layer service receives a client request; obtaining a network address of a target service instance through a Nacos service discovery mechanism according to a service name in the request; then forwarding the request to a target service instance for processing; when the configuration information is changed, the Nacos configuration management center pushes an update notification to all subscribed service instances; the service instance pulls the latest configuration information and updates the local cache; according to the method, a secondary hand waving mechanism is implemented in Nacos cluster node, gateway service and downstream service communication, so that the offline condition of the downstream service can be accurately judged, and the problem of data inconsistency caused by node faults or network partition is avoided.

The invention relates to the technical field of distributed data storage, and discloses a database cluster partition operation method and device under a network partition scene and a medium, and the method comprises the steps that a multi-master distributed database cluster is constructed, and each node continuously captures a database native transaction log; obtaining change event data, and performing unified data storage; analyzing the original log into structured data, and executing uniform fragmentation and parallelization processing; processing the block log change record, and arranging change events of the primary key according to a rule; executing conflict processing and data synchronization, and synchronizing all nodes after the conflict is solved; through exception handling and fault tolerance, self-healing is realized and data consistency is maintained. According to the method, millisecond conflict identification and data consistency convergence after network disconnection can be realized, continuous and stable operation of a cluster in a partition state is ensured, and self-healing and continuous availability of a system are realized.

A decentralized mesh-network platform provides real-time governance, supervision, and audit of large-language-model persona agents in regulated environments such as healthcare. Each computing node hosts processor circuitry, memory, a network interface, and an integrated suite comprising a User-Prompt Interface, Metadata Filter & Enrichment Engine, Persona Role Constructor, Policy Constraint Engine, gating logic module, Supervisor Review Interface, Session Memory Governance Module, Audit Logging Subsystem, cryptographically linked audit ledger, and Fallback Control Module. Devices communicate over a peer-to-peer channel, exchange role-switch tokens, and merge local ledgers into a composite audit graph when connectivity returns. The architecture supports continuous compliance and resilient operation across institutional boundaries, network partitions, and device failures, enabling conversational interaction with heterogeneous medical data while maintaining rigorous credential lineage, policy oversight, and forensic traceability.

The invention relates to a dynamic routing and flow balancing method and system for a regionalized network topology, and the method comprises the steps: dividing a satellite network into a plurality of partitions, and distributing a core node for traffic scheduling and routing calculation for each partition; each core satellite node responds to each traffic demand, and bandwidth and traffic distribution in each partition are adjusted through a multi-anchor-segment routing method and a preset linear programming model; and each satellite node dynamically adjusts the route of each traffic demand through a probability forwarding scheduling method based on geometric topology according to the relative position of the satellite node and the target node. According to the method, low delay, high bandwidth utilization rate, load balance and efficient fault recovery of the satellite network are realized through network partitioning, a multi-anchor-segment routing method and probability forwarding based on geometric topology.

The invention relates to a heterogeneous AI computing virtualization architecture and slice enhancement method and system, and the method comprises the steps: evaluating the demands of an AI task for GPU resources through an analytic hierarchy process, and dividing the GPU resources into ultrafine-grained slice units according to an optimization model; predicting a resource demand through an ARIMA model, allocating slice resources through a minimum error sum of squares algorithm, and generating a resource allocation scheme; the method comprises the following steps: dividing a GPU into a plurality of independent hardware isolation units based on a resource allocation scheme and GPU hardware topology, and generating a hardware unit configuration table; establishing an isolation mechanism based on the identity information and the ACL, and establishing a software isolation environment; the method comprises the following steps: dividing network partitions, configuring a firewall rule to control network access authority, monitoring network traffic in real time, processing abnormal traffic, and generating a network partition mapping table; gPU resources are abstracted into a logic resource pool, a resource scheduling platform based on an intelligent scheduling algorithm is constructed, and resource scheduling of heterogeneous slices is carried out.

The invention relates to the technical field of thermoelectric pipe network inspection, and discloses a thermoelectric pipe network fault inspection system and method based on deep learning. The system comprises a pipe network partition module, a multi-mode sensing module, a fault prediction module, a grading response module and a dynamic control module. The pipe network partition module is divided into a high-temperature steam pipeline area, a medium-temperature hot water pipeline area, a low-temperature water return pipeline area and a key valve connecting area; the multi-modal sensing module deploys temperature, pressure and sonic sensor arrays in each area; the fault prediction module extracts spatial-temporal characteristics through a deep belief network model and outputs a fault probability value; the hierarchical response module triggers different levels of response instructions according to a comparison result of the fault probability value and a preset threshold interval; and the dynamic control module controls a moving path of the inspection robot and detection equipment parameters according to the response instruction. According to the system, accurate prediction and dynamic response of the thermoelectric pipe network fault can be realized, and the inspection efficiency and the pipe network operation reliability are improved.

The invention discloses a partition network architecture, a routing method, equipment, a medium and a program product, and relates to the technical field of routing, a target network is divided into a plurality of network partitions, first nodes of the network partitions are connected through configured second ports, and therefore interconnection between the network partitions is achieved; when a multicast message needs to be transmitted, transmission between nodes in the same network partition can be realized through the first port and the second port; and meanwhile, the cross-region transmission of the multicast message is realized by using the second port. Each network partition can independently transmit messages in parallel in the partition, cache competition is reduced, the synchronization of multicast routing is optimized, a special multicast message transmission channel between the network partitions is realized by independently arranging a second port for a first node, delay caused by long-distance transmission of the messages is reduced, and the service life of the network partitions is prolonged. The message transmission delay and the blocking risk of the target network are significantly reduced, and the energy efficiency and throughput of the target network are improved.

The invention relates to the technical field of intelligent transportation, and discloses a mine intelligent transportation method and system. The method comprises the following steps: performing time sequence filtering and gradient denoising on mine transportation node temperature data acquired by a thermal imaging camera to obtain a temperature characteristic matrix; identifying transportation abnormal information based on the temperature characteristic matrix; executing temperature mode matching according to the transportation abnormal information, and generating a transportation operation instruction set; performing mine channel temperature safety path planning by taking the transportation operation instruction set as a constraint condition to obtain a transportation execution scheme; after the specific position of a mine worker is positioned in real time through a thermal imaging camera, a transportation execution scheme is converted into a standardized voice instruction, the standardized voice instruction is pushed to the corresponding worker through an interphone network partition, and scheduling feedback data containing instruction receiving confirmation and execution progress are obtained in real time. According to the invention, operators are accurately positioned through thermal imaging, and partition pushing is realized in combination with an interphone network, so that the intelligent level and safety of mine transportation are improved.

The invention discloses a GIS (Geographic Information System)-based DMA (Direct Memory Access) intelligent partitioning method for a water supply network, relates to the field of data processing, and can solve the problem that a virtual partition boundary is misjudged or a boundary at a certain position frequently fluctuates due to the fact that a DMA intelligent partitioning method for the water supply network at the present stage cannot accurately distinguish sudden water taking abnormity and leakage abnormity. The method comprises the following steps: acquiring water flow state monitoring data; determining a water flow abnormal data set according to the water flow state monitoring data; according to the water flow abnormal data set, a water supply pipe network partition preliminary result is determined; wherein the water supply pipe network zoning preliminary result is used for representing a preliminary division range of each area in the water supply pipe network; and determining the DMA partition of the water supply network according to the preliminary partition result of the water supply network and the physical equipment information of the water supply network. The method is used for DMA intelligent partitioning and leakage monitoring of the water supply network.

Disclosed in the present invention are a power transmission network emergency repair and restoration method and device based on a mobile power supply. The present application improves the power transmission network fault restoration efficiency by the method: reading a preset power transmission network black start strategy optimization model and parameter data acquired from a power transmission network to be restored, wherein the power transmission network black start strategy optimization model is constructed by setting an emergency repair resource constraint, a power transmission network operation constraint and a power transmission network partition constraint, with the optimization objective of minimizing power transmission network load loss; initializing the power transmission network black start strategy optimization model on the basis of the parameter data, and solving the power transmission network black start strategy optimization model by means of a solver to obtain a mobile power supply arrangement scheme and a unit restoration scheme of said power transmission network; and performing emergency repair on said power transmission network on the basis of the mobile power supply arrangement scheme and the unit restoration scheme. The present application can improve the power transmission network fault restoration efficiency and reduce power outage costs by allocating fault repair resources.

The invention relates to an automatic cluster recombination method, a distributed system and computer equipment. Determining a plurality of independent network partitions after the distributed system is subjected to network partitioning; for each independent network partition, determining first existence information of each cluster node in each independent network partition; determining a target local leader node and a target follower node from the cluster nodes of the independent network partitions according to a preset consensus recombination strategy based on the first existence information; establishing a first local consensus cluster corresponding to the independent network partition according to a following relationship between the target local leader node and the target follower node; according to the invention, automatic reorganization of cluster nodes during network partitioning is realized, so that each independent network partition can still maintain local consensus and service availability under the condition that global intercommunication cannot be realized, service is provided to the greatest extent, the availability is ensured, and the service continuity and the overall availability of the system after network partitioning are remarkably improved.

Systems and methods generate requests for encrypted (e.g., secured) credentials and data using one of a plurality of API plugins that are selected based on an access protocol for a network partition at which requested data is determined to be stored. Through the use of the dynamically-selected API plugins, the systems and methods may provide the aforementioned functions while being compatible with the different access protocols that may be encountered when providing central management across a diverse spectrum of user accounts, networks, and / or cloud platforms.

Systems and methods generate requests for encrypted (e.g., secured) credentials and data using one of a plurality of API plugins that are selected based on an access protocol for a network partition at which requested data is determined to be stored. Through the use of the dynamically-selected API plugins, the systems and methods may provide the aforementioned functions while being compatible with the different access protocols that may be encountered when providing central management across a diverse spectrum of user accounts, networks, and / or cloud platforms.

Techniques are disclosed for community-based federated training by leader node representation. An example system includes a memory having instructions, and a processor communicatively coupled to the memory and configured to execute the instructions. The instructions can include: using a community detection (CD) algorithm to partition a network of nodes into a plurality of communities; using graph-based measurements of the network to elect a leader node for each community; and performing federated learning within and between the communities through the elected leader nodes.

The application relates to the technical field of distributed data storage, and discloses a database cluster partition running method in a network partition scenario, equipment and a medium, wherein the method comprises the following steps: constructing a multi-master distributed database cluster, continuously capturing database native transaction logs by each node; obtaining change event data and uniformly storing the data; analyzing the original logs into structured data, performing uniform sharding and parallel processing; processing block log change records, arranging the change events of primary keys according to rules; performing conflict processing and data synchronization, synchronizing all nodes after solving the conflicts; and through abnormal processing and fault tolerance, realizing self-healing and maintaining data consistency. The application can realize millisecond-level conflict identification and data consistency convergence after network disconnection, guarantees the continuous and stable operation of the cluster in a partition state, realizes self-healing and continuous availability of the system.

The invention relates to the field of intelligent equipment control, and provides a smart home cooperative control method based on the Internet of Things. The method comprises the following steps: analyzing historical state data of a smart home environment through machine learning to obtain an equipment association map, and encoding collected real-time state data to obtain a global state vector; clustering by combining the global state vector and the equipment association map to obtain a life scene mode set, extracting a trigger condition to form a library, and inputting the global state vector into a neural network to predict scene occurrence probability distribution; determining standard equipment state configuration corresponding to a target scene in the trigger condition formation library according to scene occurrence probability distribution, and performing multi-target optimization on standard equipment state control to obtain a cooperative control strategy list; and executing instructions in groups on the cooperative control strategy list according to the equipment network partitions, and performing monitoring compensation in the execution process. According to the invention, the scene intelligent control accuracy of the intelligent equipment is improved.

The present invention addresses the problem of premature node death caused by uneven energy consumption among nodes in a wireless sensor network. From the perspective of grid partitioning, the present invention considers the clustering and cluster head election of wireless sensor nodes, and proposes a method for clustering and cluster head election of wireless sensor nodes based on grid partitioning with energy load balancing. The sensor nodes are divided into different grid regions for clustering, and a dynamic cluster head election mechanism is adopted to reduce the collection of duplicate data. Moreover, the cluster head nodes are evenly distributed through the uniform distribution of the grids, thereby solving the problems of unreasonable clustering and uneven energy consumption of network nodes.

This invention provides a distributed transaction processing method for BOM data in a PLM system, belonging to the technical field of PLM systems. When initiating a BOM data modification transaction, this invention sends a preparation request to participating nodes and performs field-level lock acquisition. A majority vote determines whether the transaction should be committed or rolled back. Transaction logs are batch-aggregated into group commit log blocks according to time windows and copied to persistent memory via RDMA. A closure table is established for the BOM tree structure to store ancestor-descendant relationships. An artificial intelligence model is used to monitor node response latency and log write rate to dynamically adjust parameters. When a network partition is detected, nodes holding a majority lease continue processing the transaction. After partition recovery, data merging is performed using version vector conflict detection and a compensation transaction mode. This solves the problem of data consistency being difficult to guarantee due to network partitions when processing BOM data modification transactions in a distributed PLM system.

This invention provides a method and system for optimizing downhole communication links based on self-organizing networks, relating to the field of communication link technology. The method includes acquiring communication node information, constructing a network topology, and determining network characteristic parameters; constructing a link quality prediction model to evaluate link quality; performing dynamic network partitioning and establishing a node priority ranking table to select the optimal transmission path; and real-time monitoring of link status, triggering node self-organizing reconfiguration when necessary. This invention can improve the connectivity, stability, and transmission efficiency of downhole communication networks, reduce communication latency, and enhance the safety of downhole operations.

This invention discloses an IoT-based underground pipe network zonal metering monitoring and control system, comprising the following modules: a zonal monitoring module for collecting zonal flow, pressure, water quality, and valve status data, and for collecting upstream flow and pressure data; a data preprocessing module for preprocessing the zonal monitoring data; a time-series feature modeling module for outputting zonal prediction data using an improved TimesNet model; an anomaly detection module for generating zonal anomaly detection results; a control distribution generation module for outputting zonal control distribution based on an improved generative flow network reinforcement learning model; a control parameter generation module for obtaining zonal control parameters and updating model parameters; and a control execution module for adjusting valve opening, water supply distribution ratio, and pressure setpoint. This invention integrates time-series feature modeling and generative flow network reinforcement learning to achieve refined monitoring and intelligent control of underground pipe network zonal areas.

The invention discloses an underground pipe network zoning metering monitoring and regulation system based on the Internet of Things, and the system comprises the following modules: a zoning monitoring module which is used for collecting zoning flow, pressure, water quality and valve state data, and collecting upstream flow and pressure data; the data preprocessing module is used for preprocessing the partition monitoring data; the time sequence feature modeling module is used for outputting partition prediction data by using an improved Times Net model; the anomaly judgment module is used for generating a partition anomaly judgment result; the regulation and control distribution generation module is used for outputting partition regulation and control distribution based on the improved generation flow network reinforcement learning model; the regulation and control parameter generation module is used for obtaining partition regulation and control parameters and updating model parameters; and the regulation and control execution module is used for adjusting the valve opening, the water supply distribution proportion and the pressure set value. According to the method, time sequence feature modeling and generative flow network reinforcement learning are fused, and fine monitoring and intelligent regulation and control of underground pipe network partitions are achieved.

The invention discloses a wireless sensor network node clustering method based on an improved Harris eagle algorithm. The method comprises a cluster head election and node clustering mechanism. A base station collects node residual energy and position information, an improved Harris eagle algorithm is used to predict network survival time as a target, an optimal weight coefficient and a network partition radius are obtained through optimization, and parameters are broadcasted to nodes of the whole network; the node calculates a comprehensive weight to participate in cluster head election according to the residual energy, the density and the distance from the base station; introducing a load penalty factor and a near-region cluster head scale control mechanism; and setting an energy variance threshold value to trigger the Harris eagle algorithm to re-optimize the weight coefficient. The method has the beneficial effects that dynamic global optimization of clustering parameters is realized by improving the Harris eagle algorithm, a cluster head election mechanism is improved, and the network load is effectively balanced and the service life of the network is prolonged by combining non-uniform clustering and a load punishment mechanism.

The invention relates to a method and system for synchronizing configuration data in a plant, in particular to a method for synchronizing configuration data of components within an industrial plant and the synchronization thereof. The method comprises the steps of partitioning a network in an industrial plant into a first sub-network and a second sub-network, the sub-networks being connected by a network connection. Storing first configuration data on a first local server and via the network connection on a second local server, and storing second configuration data on the second local server and via the network connection on the first local server. Interrupting the network connection; and updating the first configuration data and the second configuration data on the first local server. Reconnecting the network connection; and, if the first configuration data on the second local server has not been changed, overwriting the first configuration data on the second local server by the updated first configuration data.

Methods, systems, and media for partitioning neural networks are provided. In some embodiments, a method comprises obtaining a training set. The method comprises training a plurality of neural networks using the training set, wherein neural networks differ based on dimensions of one or more layers of the neural networks and a location of a compression block positioned between a first set of layers of a neural network and a second set of layers of the neural network. The method comprises selecting a neural network based on hardware constraints of a system on which the neural network is to be implemented, wherein the first set of layers of the selected neural network are executed by one or more sensor devices of the system, and wherein the second set of layers of the selected neural network are executed by an aggregator computing device of the system.

This invention discloses a method and system for simulating the induced voltage of a GIS disconnect switch housing, relating to the field of power equipment and electromagnetic field simulation technology. The method includes: establishing a simulation model of the induced voltage of the GIS disconnect switch housing; performing network partitioning on the simulation model; setting boundaries and applying excitation; solving for the magnetic field strength distribution; constructing an equivalent circuit and calculating the induced voltage of the housing; and setting an early warning model to provide an equivalent early warning of the induced voltage. By establishing an accurate simulation model of the induced voltage of the GIS disconnect switch housing, combined with quantitative analysis of the electromagnetic field and equivalent circuit calculation, it is possible not only to accurately predict the changes in the induced voltage of the GIS disconnect switch under high-voltage environments, but also to dynamically evaluate the induced voltage through real-time monitoring and an early warning model. This achieves early warning of equipment status and effectively prevents equipment failures or safety hazards caused by excessive induced voltage.

The present invention provides a low-altitude communication and navigation integrated management system and method, belonging to the field of communication network management technology. The system includes: a demand analysis module for obtaining and analyzing the communication and navigation requirements of a preset low-altitude flight area; a network partitioning module for determining a number of communication network modules within the preset low-altitude flight area; a configuration and deployment module for deploying the partitioned communication network modules using a preset configuration method; a data acquisition module for monitoring and collecting ambient environmental data and device status data for each communication network module; and a communication management module for analyzing the collected ambient environmental data and device status data for each communication network module to determine a low-altitude communication and navigation management strategy. This system achieves precise demand matching, flexible network partitioning, dynamic configuration optimization, and real-time data monitoring and management for the low-altitude communication and navigation system.

The embodiment of the invention provides an access control path generation method and device, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: in response to a cross-partition access request, determining an outbound access tag of source equipment and an inbound access tag of target equipment from an access tag matrix; and generating an access control path by splicing the out-direction access tag and the in-direction access tag. Therefore, according to the access control path generation method provided by the embodiment of the invention, only the outgoing access label and the incoming access label of the terminal equipment of the network partition need to be maintained, and when cross-partition access needs to be carried out, the access control path can be generated by splicing the outgoing access label and the incoming access label; the step of searching from a network full-path storage table is avoided, so that the generation efficiency of the access control path is improved, and the real-time business collaboration requirement can be met.

The invention relates to the technical field of urban gas transmission and distribution and pipe network safety monitoring, and provides a gas pipe network partition leakage detection and graded early warning method and system, and the method comprises the steps: collecting the gas amount data and multi-source monitoring data of a target partition, and generating a partition gas amount balance sequence and a leakage feature matrix; constructing a partition baseline trend model to carry out trend offset analysis, carrying out sudden anomaly detection on the operation state of the target partition, and respectively generating a corresponding trend leakage value and a sudden leakage value; establishing a leakage grading model in combination with a pipe network topological structure, and determining the leakage grade of the current target partition; leakage probability calculation is carried out on the pipe section, a leakage space positioning result is output, and corresponding early warning and linkage control are executed according to the leakage level and the leakage space positioning result, so that rapid deployment can be carried out under the actual operation condition of a gas company, and a role can be played; and the safe operation capability, the quick leakage discovery capability and the emergency response efficiency of a gas company on a medium-low pressure gas pipe network are improved.

The invention discloses a distributed reasoning task arrangement method based on semantic driving. The method comprises the following steps: constructing a domain ontology model and establishing semantic mapping; analyzing task requirements; executing data source retrieval of multi-level semantic fusion; generating an execution path based on multi-objective collaborative optimization; tasks are distributed, and transmission overhead is reduced by adopting model differential updating; and performing adaptive migration and network partition fault tolerance based on a check point and a two-stage commit protocol. According to the method, the technical problems of heterogeneous data semantic gaps, static scheduling and dynamic environment conflicts and state loss caused by coarse-grained fault tolerance are solved, efficient distributed reasoning of data immobility and calculation flow is achieved, and the method is suitable for the multi-source heterogeneous data fields of marine science, meteorological monitoring, industrial Internet of Things and the like.

Methods, apparatus, systems, and articles of manufacture are disclosed for state convergence associated with high availability application migration in a virtualized environment. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions to identify a high availability slot in a virtual server rack including a first virtual machine (VM) associated with first configuration data that identifies the first VM as a protected VM, transmit second configuration data to a second VM that identifies the first VM as a nonprotected VM and the second VM as the protected VM, after a determination that a network partition is identified based on a failure of a request to retrieve the second configuration data from the second VM, and transfer data from the first VM to the second VM after causing the removal of the network partition.