595 results about "Multiple node" patented technology

The invention relates to the technical field of edge computing, in particular to a safety production monitoring method based on edge collaboration, which comprises the following steps: collecting multi-node clock pulses, calculating adjacent time differences to form a pulse difference parameter set, carrying out statistical distribution, setting a dynamic tolerance boundary, and constructing an effective deviation parameter set; the method comprises the following steps of: generating a weighted smooth deviation result by combining clock stability and link delay weighted normalization, sorting monitoring data according to a timestamp to identify duplication abrupt change exception, constructing a cross-node exception time sequence by associating nodes and time information, and judging a safety state transition result of equipment. A time difference parameter is constructed through multi-node reference pulse arrival time, a dynamic deviation constraint is formed by combining distribution characteristics, clock stability and link measurement weighted smoothing are introduced, cross-node time reference consistency is kept, operation data unified time sequence rearrangement is carried out, a sudden change event reliably reappears in a time window, and an abnormal identifier is associated with a node identity. And forming a cross-node event evolution link.

The invention relates to the technical field of intelligent power distribution system state monitoring, in particular to a cable connection state online monitoring method for a low-voltage cable branch box, which comprises the following steps of: applying a disturbance excitation signal to a connection node of the cable branch box, and acquiring transient voltage, current and phase response parameters of the node in different excitation periods; establishing a mapping relation between the node electrical characteristics and the connection state; performing dynamic reference calibration on the acquired signals based on a multi-node space-time coupling matrix to form an adaptive judgment reference of electrical coupling between nodes; a connection degradation sensitive index is extracted through feature sequence differential calculation, a connection state quantitative evaluation result is generated, and real-time updating and anomaly recognition are carried out according to the state change trend; according to the method, the problems of misjudgment and delay caused by a monitoring mode depending on indirect parameters such as temperature and current are solved, high environmental adaptability and degradation identification precision are achieved, and the operation safety and monitoring reliability of the low-voltage power distribution system are greatly improved.

Methods and apparatus are described for enhanced node communication within a wireless node network having nodes and a server. The method begins with a first node associating with a second node, and the first node capturing relevant node information. The first node transmits the relevant node information to the server via the second node operating as an intermediary for indirect communication with the server. A third node captures relevant node information and transmits the relevant node information to the server without using the second node as an intermediary or bridge to the server. Each of the first node, the second node, and the third node may be wireless transceiver-based nodes and respectively implemented as integrated circuits.

The invention discloses an optimal scheduling method for large model reasoning service and a related device. A plurality of reasoning service instances and a plurality of nodes used for running the reasoning service instances are deployed in the reasoning service of the target large model, firstly, hardware utilization indexes and service utilization indexes of all the reasoning service instances are collected, and collection time and instance IDs are recorded. Then, the indexes are preprocessed, and hardware preprocessing indexes and service preprocessing indexes are obtained; thirdly, multiple model parameters of the target large model and hardware computing power parameters of a target computer are obtained, and the ID, the hardware preprocessing index and the service preprocessing index of each reasoning instance are associated and integrated with the model and the computing power parameters to form an associated data set; and based on the data set, respectively calculating an HRUI, an SPHM and an HRVE of each reasoning service instance, so as to generate a capacity adjustment strategy and a request routing strategy of the target large model based on the HRUI, the SPHM and the HRVE.

The invention relates to the technical field of communication, in particular to a satellite communication anti-interference transmission method based on a frequency hopping and spread spectrum fusion algorithm. According to the method, interference power is collected at multiple nodes, multiple sub-carrier frequencies and multiple moments to construct an interference observation tensor, interference features are extracted through low-rank tensor decomposition, and interference of each sub-carrier frequency in a future frequency hopping time slot is predicted; calculating a signal to interference plus noise ratio and capacity according to predicted interference in combination with transmitting power and noise, constructing a utility function containing a service weight and a balance coefficient, and distributing working sub-carrier frequency to each satellite communication node under concurrency constraint to generate a frequency hopping sequence; a transmitting end performs channel coding, modulation and spectrum spreading on service data and transmits the service data according to a frequency hopping sequence, and a receiving end completes synchronization, de-spreading and decoding and performs weighting processing by utilizing predicted interference. The method improves the spectrum utilization rate and the interference suppression capability, and enhances the satellite communication reliability.

Methods and apparatus are described for enhanced node communication within a wireless node network having nodes and a server. A first subset of nodes transmits first data messages to the server without using an intermediary device where the first data messages include sensed data generated by the nodes of the first subset of the plurality of nodes about or around the nodes of the first subset of the plurality of nodes. A second subset of the plurality of nodes receives external data from the other of the nodes. The second subset of the plurality of nodes are intermediary devices that transmit the received external data to the server, wherein the received external data from the other of the nodes comprises sensed data about or around the other of the nodes.

A system and method for data compaction and encryption of anonymized data records. A dataset may be pre-processed by dividing into sourceblocks at reasonable intervals and tallying each sourceblock's frequency, creating a tally record of tokens and count values. This tally record may then be anonymized and transmitted to a data deconstruction engine which combined with a library manager creates a codebook and performs optimization techniques on the codebook. The data deconstruction engine and library manager may be distributed across multiple nodes or devices. The received anonymized tally record may be parsed into individual tokens by identifying the tokens with the highest count value. The tokens may then be sent descending order of count value to the library manger where each token may be assigned a codeword. A half-backed codebook is then created using the tokens and each token's unique codeword, before sending the half-backed codebook to a system user.

The invention discloses a multi-party supply chain sensing data encryption measurement and traceability method based on space-time coupling watermark embedding, which comprises the following steps of: constructing a double-domain coupling model of a time sequence and a space distribution characteristic, and embedding dynamic watermark information into a sensing data stream to realize data source identity identification and tamper-proof protection. A self-adaptive key generation and credible chain verification mechanism is introduced in an encryption metering stage, so that the data integrity and confidentiality can be guaranteed on the premise of not influencing the real-time transmission performance of the data; in the tracing stage, a data transmission path is reconstructed by using the watermark tracing matrix, and data responsibility definition and anomaly detection among multiple nodes are realized. The method is suitable for high-security data management and credible tracking in a supply chain multi-node collaborative environment.

The invention belongs to the technical field of order fulfillment process monitoring, and discloses an order fulfillment process delay early warning method and system based on multi-node state acquisition, and the method comprises the steps: collecting the dynamic state data of multiple nodes in a fulfillment process in real time; matching judgment is carried out through the node rule base, primary early warning is triggered, and an early warning context data set is constructed; inputting the data set into a pre-trained delay risk prediction model, and outputting an overall risk probability and a key influence node identifier; issuing a grading early warning signal according to the risk probability; carrying out interpretable root cause positioning through a root cause analysis rule chain based on directed acyclic graph representation; incremental learning is carried out on the prediction model based on early warning feedback data to form an optimized closed loop; the system correspondingly comprises a data acquisition module, a rule judgment module, a risk prediction module, an early warning release module, a root cause positioning module, a feedback learning module and the like. According to the invention, the early-stage, accurate and automatic early warning and root cause analysis of the full-process risk of order fulfillment are realized.

An image processing system includes one or more processors operative to receive a graph application programming interface (API) call to add a complex node to a graph. The graph includes at least the complex node connected to other nodes by edges that are directed and acyclic. The one or more processors are further operative to process, by a graph compiler at compile time, the complex node by iteratively expanding the complex node into multiple nodes with each node corresponding to one operation in an image processing pipeline. The system further includes one or more target devices to execute executable code compiled from each node to perform operations of the image processing pipeline. The system further includes memory to store the graph compiler and the executable code.

The invention belongs to the technical field of container orchestration, and provides an intelligent scheduling method, device, equipment, medium and product of a container orchestration system.According to the method, cluster operation data of a member cluster in a single-cluster architecture or a multi-cluster architecture deployed by the container orchestration system is obtained, and the member cluster is composed of multiple nodes; the nodes are servers or computing units for bearing Pod operation of the container group, and the cluster operation data comprises node resource utilization rate, Pod operation performance, application performance indexes and load change data; in response to a received scheduling request of the Pod to be scheduled, screening a plurality of candidate nodes meeting Pod operation constraint conditions from the member cluster; determining a target node in the plurality of candidate nodes based on the cluster operation data, the feature information of the to-be-scheduled Pod and a preset scheduling strategy for calling an AI inference engine; binding the Pod to be scheduled to a target node, and monitoring operation state data after the Pod is bound to the target node; and optimizing a decision model of the AI inference engine and a preset scheduling strategy based on the operation state data to form a scheduling closed loop.

The invention discloses a dependency perception satellite edge computing task unloading method based on a global task graph, and belongs to the field of satellite-ground cooperative computing, and the method comprises the steps: constructing a three-layer satellite-ground cooperative task unloading architecture; constructing a unified performance evaluation model; modeling an unloading decision process as a Markov decision process, respectively modeling a plurality of low-orbit satellites as independent agents under a learning normal form of centralized training and distributed execution, and jointly constructing a multi-agent reinforcement learning model; constructing a global task representation space based on the dependency perception task graph, and introducing a centralized value evaluation and distributed strategy execution mechanism into the global task representation space; according to the method, on the premise of meeting task dependency constraints, combined utilization of multi-node computing resources is achieved, task processing time delay and energy consumption can be reduced, and the resource utilization efficiency of a satellite edge computing system can be improved.

The invention discloses a multi-source time consistency verification and traceability method in an electric power wide area system, and belongs to the technical field of electric power system automation. Comprising the following steps: generating a quantifiable time source health degree index, and determining the credibility grade of each time source; a distributed timestamp chain containing timestamps, quality rating and verification information is constructed, and time consistency verification among multiple nodes is achieved; advanced identification and self-adaptive switching of an abnormal time source are realized through fault prediction; complete tracking of a time data propagation path and a processing process is realized through timestamp records of key nodes; various time synchronization scenes and abnormal conditions are simulated in the virtual environment; when a time anomaly is detected, rapidly positioning a source and an influence range of the time anomaly in combination with the time traceability system and the digital twin time synchronization model; and if the key service is influenced by time abnormity, dynamic resource scheduling and priority safeguard measures are executed to ensure the time precision requirement of the key service.

The invention relates to the technical field of disaster early warning, in particular to a mountain torrent disaster real-time monitoring and early warning method based on the Internet of Things and artificial intelligence, which comprises the following steps: acquiring a water level data identification rising point, marking an area number, retrieving rainfall nodes, judging synchronization, tracking a non-drainage path, extracting channel frequency and screening response nodes. And multi-section mountain torrent early warning information is obtained. According to the method, the continuous rising trend of the water level is extracted, the monitoring section with the continuous change characteristic is delimited, the response path between the water level and the rainfall is constructed by means of the multi-node space distribution relation, the interaction area is recognized and merged, and the water body retention section and the upstream water supplementing direction are calibrated by comparing the drainage state with the node behavior. The response continuity is analyzed through a broadcast channel and scheduling frequency, key nodes in the change process are screened, water level, rainfall and path information is organized through a time sequence, the multi-region hydrological response process is integrated, and staged recognition and risk pointing of the disaster process are promoted.

The invention discloses a railway freight data security encryption method based on distributed storage, which relates to the technical field of railway information security, and comprises the following steps: registering distributed storage nodes, collecting railway freight tasks, tracks and node registration data, constructing a distributed storage network based on the node registration data, generating a node list, and encrypting the node list. Performing identity authentication, key initialization and identity verification during access among the nodes on the nodes in the node list, issuing a short-time access token after verification is passed, generating a track interval key according to freight track data, fragmenting the track interval key by using a threshold secret sharing method, distributing the track interval key to multiple nodes and dynamically deriving a key, and based on the derived key, using an improved ECC parallel encryption method in combination with Paillier dynamic encryption to encrypt data, and generating an encrypted data packet. According to the invention, track data is used as key drive, and dynamic hierarchical encryption and collaborative credible decryption of railway freight task data in a distributed environment are realized.

The embodiment of the invention provides an inference acceleration method and system based on a large language model. The method comprises the following steps of: firstly, reading a query vector, a key vector and a value vector which are calculated by a matrix processing kernel and are subjected to offset addition and quantization operation from a shared cache by virtue of a multi-head attention kernel in a system, respectively calculating an attention score and target key value data, and outputting data to be decoded; the single-node calculation efficiency is guaranteed through customized hardware pipeline design; then, the query vector is recalculated in the decoding stage, the target key value data stored in the high-bandwidth storage key value cache region in the pre-filling stage are directly reused, and resource waste caused by repeated weight loading is avoided; finally, a model parallel strategy is adopted, calculation tasks of the large language model are distributed to all accelerator nodes, distributed execution of large-scale matrix operation among multiple nodes is achieved, the node number can be flexibly expanded according to the model scale in the scheme, and the expansibility of the reasoning acceleration scheme is remarkably improved while reasoning efficiency is guaranteed.

The invention relates to the technical field of water conservancy project automation control, and discloses a self-adaptive coordinated regulation gate control method and system and a storage medium. The method comprises the following steps: acquiring gate node real-time instruction data and performing time synchronization calibration to generate an initial instruction sequence; instruction features are extracted and classified based on the sequence, and an instruction sorting list is obtained; when the emergency instruction proportion exceeds a threshold value, the emergency instruction is separated, an exclusive channel is distributed, an accelerated propagation path is generated, and an optimized transmission path is determined through path delay evaluation; selecting a path with the lowest delay from the optimized paths to perform emergency instruction distribution, and acquiring a feedback signal; verifying the feedback signal and recording a response speed index, and determining the adjusted transmission configuration based on the index; the configuration is utilized to synchronize and integrate the conventional instructions to the main propagation sequence to generate a complete regulation and control instruction set. According to the method, the multi-node instruction time sequence consistency and the emergency response capability are improved, the transmission conflict is reduced, and the cooperative regulation and control efficiency is improved.

According to the DDoS relieving system and method based on the alliance chain, a decentralized IP address reputation sharing system oriented to multi-organization and multi-node participation is constructed, by introducing the alliance chain and a multi-node consensus mechanism, credible exchange and cooperative use of reputation information under the condition that trust in advance is not needed are achieved, and the reputation sharing efficiency is improved. Single-point fault risks and cross-organization trust barriers existing in a traditional centralized reputation system are effectively eliminated, local real-time flow monitoring and dynamic reputation evaluation results of nodes are combined with the whole-network reputation state shared on the chain, a joint decision-making mechanism is formed, and the reliability of the system is improved. According to the method, the reputation state on the chain is queried through the smart contract, and the protection instruction is generated in combination with the local threshold strategy, so that the protection node can execute the security strategies such as speed limiting and blocking more accurately and timely, and the recognition precision, the response speed and the overall protection effect of distributed denial of service attack mitigation are effectively improved.

The invention discloses a mutual credit granting authentication method and system among multiple nodes of a public key infrastructure system, and relates to the big data and data security technology, and the method comprises the steps: accessing a real name verification service provider and an identity credential service provider through a regional management node; the verification module is used for verifying the accessed enterprise identities and signing and issuing digital certificates to the enterprise identities passing the verification; a regional management node is used for registering service child nodes for qualified enterprise identities, registering connector root nodes for enterprise identities participating in services, generating node identity unique identifiers, and signing and issuing digital certificates; and the connector root nodes and the service child nodes access the area management node, the connector root nodes access the service child nodes, and the connector root nodes access each other to complete related services. According to the embodiment of the invention, an identity-authority-business three-in-one automatic trust system is constructed, the reliability of node identity authenticity verification in a distributed environment is improved, and the certificate and authority management cost of manual intervention is reduced.

The invention discloses a multi-agent cooperation method, system and device based on shared memory data, and a medium, mainly relates to the technical field of multi-agents, and aims to solve the problem that a traditional reasoning system cannot recognize semantic similarity between requests and cannot sense a context relationship of agent tasks, so that the efficiency is improved. The intelligent agent system is often deployed at multiple nodes, and the cache result cannot be shared across the nodes. Comprising the steps of obtaining an output result and an intermediate result generated by each path node; caching the semantic signature and the output result to a preset result cache layer; caching an intermediate result generated by each path node as context information to a preset context cache layer; and according to a preset time window, detecting inference frequencies of different semantic signatures generated by all the agents, and according to the inference frequencies, adjusting storage time of output results corresponding to the semantic signatures in a preset result cache layer.

The invention discloses a power distribution network electric energy quality comprehensive treatment method and system based on data driving, and the method comprises the steps: obtaining the real-time operation data of a plurality of nodes in a power distribution network; analyzing the real-time operation data of the plurality of nodes and a power grid topological structure of the power distribution network by adopting a power distribution network topological model constructed by a graph neural network to obtain a power quality key index of each node in the power distribution network; screening a plurality of nodes in the power distribution network according to the power quality key index to obtain a plurality of key nodes; based on the topological positions among the plurality of key nodes, constructing a multi-objective optimization model comprising a minimum governance cost function, a minimum power quality comprehensive evaluation function and a minimum governance device total capacity function under the power grid operation constraint; and solving the multi-objective optimization model by adopting a multi-objective particle swarm optimization algorithm to obtain the capacity deployed on each key node. According to the invention, efficient configuration of resources in the power distribution network can be realized.

The invention relates to the technical field of electric power system operation and maintenance, and discloses an AR-based electric power communication machine room operation and maintenance inspection method, which comprises the following steps: constructing a digital twin causal atlas comprising a plurality of nodes and directed edges defining causal relationships among the nodes; acquiring a real-time scene of the electric power communication machine room and real-time operation data corresponding to physical equipment in the real-time scene through augmented reality equipment; when it is detected that an abnormal state exists in the real-time operation data, executing reverse traceability attribution along the directed edge from a node corresponding to the abnormal state on the digital twin causal map so as to determine a fault causal chain causing the abnormal state; and the fault causal chain is visually presented through the augmented reality device. According to the method, AR visualization is carried out on the fault causal chain, so that the problem of difficulty in tracing complex fault roots in traditional operation and maintenance is solved, and the accuracy and efficiency of operation and maintenance inspection of the electric power communication machine room are remarkably improved.

The invention discloses an elastic load balancing scheduling method adaptive to multiple nodes, which relates to the technical field of power scheduling, constructs a multi-dimensional resource vector by periodically collecting multi-dimensional resource data, and predicts future overload nodes by fusing historical load characteristics and real-time data by using an LSTM time sequence model. A preheating copy is preset at a low-load node based on a multi-objective optimization algorithm to deal with burst traffic, continuous optimization of a resource allocation strategy is realized through dynamic resource recovery, and meanwhile, a node load trend and a health state are evaluated regularly to form a prediction-capacity expansion-load balancing-capacity reduction closed-loop control link; the preheating copies are deployed on the nodes with low resource utilization rate in advance, so that the processing pressure of the main node can be quickly shared, and the processing capacity and flexibility of the system are improved; through a dynamic resource adjustment strategy, efficient utilization of resources is realized, idle resources are reduced, and the operation cost is reduced.

A multi-agent system implementing federated learning for cybersecurity applications. The system includes one or more processing devices that perform operations including receiving, from each node of multiple nodes of the distributed system, a plurality of parameters representative of model updates to a corresponding machine-learning model. The corresponding machine learning model is trained to detect cybersecurity threats within a context of the corresponding node. Based on the parameters received from the multiple nodes, a set of global model parameters that represents global updates to the individual machine-learning models. The global model parameters are transmitted to at least a subset of the multiple nodes of the distributed system, and the global model parameters are configured to update local model parameters of the corresponding machine learning model at each node.

The invention relates to the technical field of data processing, in particular to a cleaning fusion system for urban traffic multi-source heterogeneous data, which comprises a space-time correlation graph construction module used for creating a unique node identifier for each GPS data record, roadside camera data record and coil data record according to multi-source heterogeneous traffic data, and establishing a spatial adjacent relation edge by judging whether road segment identifiers to which multiple nodes belong are the same or not. According to the method, context awareness evaluation of data source reliability is achieved, meanwhile, when traffic time series data are processed, the data are decomposed into a low-frequency approximation coefficient representing a long-term trend and a high-frequency detail coefficient capturing a sudden change event, and the approximation coefficients of the multi-source data are fused through the obtained context awareness credibility score; meanwhile, a maximum value selection strategy is adopted for detail coefficients, key signal features caused by real traffic events can be reserved, and the fidelity of fused traffic data is improved.

The application discloses a distributed database query splitting method and device, relates to the technical field of distributed databases, and applies distributed data and comprises the following steps: S1, data sharding storage: table data sharding storage: respectively existing on multiple nodes, selecting hash distribution or random distribution; S2, query splitting steps; comprising: S2.1, generating a query execution plan; S2.2, splitting data into data slots, when a client is connected to a data slot service of a specified number, reading to a data transmission channel; S2.3. Grouping data slots: the coordinator operation in the query plan obtains data from the specified data slot; S3, cluster expansion: expanding the distributed database cluster. The mechanism of the data slot is used to unbond the redistribution data and the nodes and only associate the data slot. Because the data slot can be associated to any node in the cluster, the optimal node can be selected according to the machine load to execute a task.

The invention relates to a distributed cognitive map construction and dynamic updating system and method. The distributed cognitive map construction and dynamic updating system comprises a map construction module, an incremental updating module, a distributed consistency module and a query optimization module. The graph construction module is used for converting multi-source and multi-mode heterogeneous fashion data into a unified and structured knowledge graph; the incremental updating module is used for realizing dynamic maintenance and real-time performance of the knowledge graph; the distributed consistency module is used for ensuring high consistency, high availability and change traceability of knowledge graph data among a plurality of nodes; and the query optimization module is used for providing efficient and flexible knowledge graph query capability and carrying out rapid retrieval and complex analysis on fashion knowledge. By means of the design, high-availability, high-consistency and semantic-rich fashion cognitive map construction, maintenance and updating are achieved.

Techniques are disclosed relating to resource arbitration and allocation methods for multiple requesters, e.g., in graphics processors. In some embodiments, an apparatus includes find-first N circuitry configured to find the first N valid signals in a prioritized vector of input signals, and multiple node circuits configured in a hierarchical tree. A given node circuit includes control circuitry configured to receive first and second sets of more-than (MT) signals from parent nodes and generate output MT signals indicating the number of valid signals received by ancestor nodes. The node circuit also includes path control circuitry configured to receive first and second sets of path vectors from parent nodes and generate output path vectors representing the locations of valid signals in the input vector. The apparatus may also include round-robin control circuitry to provide fair arbitration among multiple requesters, and mapping circuitry to assign valid requesters to identified resources.

The invention discloses a method and a system for evaluating fertility of a tobacco field based on unmanned aerial vehicle remote sensing, and relates to the technical field of surveying and mapping service. Autonomous decision making is carried out at each node based on local information through a distributed game decision-making mechanism, the nodes do not follow a preset fixed path any more, but a flight decision is modeled as a non-cooperative game process, so that the fertility of the tobacco field is evaluated. The nodes are driven to preferentially fly to the grid area with the high information entropy value, when the multiple nodes fly to the same high-value area at the same time, the income reduction caused by mutual action is prejudged through game deduction, so that the nodes spontaneously and dispersedly negotiate and turn to other high-entropy areas which are not explored, and the dynamic path planning based on the real-time game has the advantages that the dynamic path planning efficiency is improved. According to the invention, the cluster behavior is converted from mechanical execution to intelligent planning, so that the non-repeated efficient scanning of the tobacco field range is realized under the condition of no central scheduling, and the problem of stiffness of a fixed path and the efficiency bottleneck of full-coverage acquisition are solved.

This application relates to the field of computer technology, specifically to a consistency detection method, apparatus, and electronic device. The method includes acquiring a message forwarding link in a messaging system; acquiring message transmission record files of each node in the message forwarding link and statistical information on the number of transmitted messages for each node, according to the message forwarding link; the message transmission record files include message transmission records generated for the transmitted messages; performing message content consistency verification based on the message transmission record files of multiple nodes in the message forwarding link to obtain a first verification result; performing message quantity consistency verification based on the statistical information on the number of nodes in the message forwarding link to obtain a second verification result; and determining the message consistency verification result of the messaging system based on the first and second verification results. The method provided in this application realizes automated detection of message consistency in a messaging system, improving the detection efficiency of consistency detection.