46 results about "Topology construction" patented technology

This invention discloses a cross-domain data risk control system for privacy computing, relating to the field of privacy computing technology. The system includes: acquiring privacy-sensitive data from heterogeneous data sources across multiple domains and synchronous cross-domain data interaction logs; de-identifying and encrypting the privacy-sensitive data based on a privacy computing protocol to construct a cross-domain privacy computing interaction topology; inputting the cross-domain privacy computing interaction topology and the synchronous cross-domain data interaction logs into a preset spatiotemporal risk control mapping network to obtain a cross-domain data risk assessment value; and generating risk control optimization suggestions based on the cross-domain data risk assessment value, including adjustment schemes for privacy computing parameters in each domain. This invention combines privacy computing de-identification processing with cross-domain interaction topology construction, extracting spatiotemporal coupling features of cross-domain data through a spatiotemporal risk control mapping network, thereby achieving synergy between cross-domain data privacy protection and precise risk control.

This invention provides a production monitoring system for mirror cabinet processing equipment based on multi-source data, relating to the field of process control. The system acquires multi-source data from the mirror cabinet through an acquisition module and constructs a discrete mesh model; a deviation topology construction module generates directional selective edge weights and a nonlinear modulation function; a propagation control coupling module achieves synchronous iterative convergence of deviation states and control components; a topology constraint module identifies structural boundaries and divides control sub-regions; a region control module generates region control vectors, which are then decomposed into processing adjustment quantities and coupled in by the instruction module; and a feedback reconstruction module optimizes parameters based on the processing results. This invention enables deviation propagation to match the processing path, achieving bidirectional coupling of state and control, thus improving accuracy and control stability in the processing of complex curved surfaces and multi-material mirror cabinets.

This invention discloses a parallel optimization system for massive video processing. The system adopts a four-layer integrated parallel and collaborative processing architecture, comprising, from top to bottom: a parallel task layer for video stream access, grouping, splitting, encapsulation, and queue management; a resource abstraction layer for unified hardware modeling, status acquisition, topology construction, and capability assessment; a parallel scheduling layer for task-hardware matching, load balancing, priority scheduling, and dynamic adjustment; and an execution optimization layer for data stream localization, parallel read / write, cache optimization, and zero-copy processing. The parallel task layer, resource abstraction layer, parallel scheduling layer, and execution optimization layer form a complete parallel processing link: task input, resource awareness, accurate scheduling, and optimized execution. This invention implements concurrent rate limiting and smooth access for the input video stream to prevent traffic surges; and sets synchronization points and timing control for parallel tasks to ensure orderly output.

This invention relates to the field of curtain wall performance simulation and optimization technology, specifically disclosing a curtain wall performance simulation and optimization analysis system, including: a drainage path topology construction module, a construction interference parameter extraction module, a pseudo-effective drainage path identification module, a drainage correction and water retention backtracking module, and a drainage structure optimization verification module. This invention constructs a directed graph of drainage path topology and extracts the set of construction interference parameters for each graph edge. It calculates the path effectiveness coefficient to determine the drainage effectiveness of each graph edge, marks pseudo-effective drainage paths, corrects the nominal cross-sectional parameters, re-simulates and evaluates the drainage capacity, and backtracks to locate water retention risk areas. Finally, it generates an optimization scheme and performs closed-loop verification until all pseudo-effective drainage paths are eliminated. This invention solves the problem of existing methods that use geometric connectivity to equip drainage effectiveness but cannot identify pseudo-effective drainage paths, thus improving the accuracy of curtain wall drainage performance simulation and the reliability of optimization.

The application relates to the technical field of digital information processing, and discloses a digital information processing system for agent task distribution, which comprises the following modules: a state quantization module, which is used for realizing binary processing on operating parameters according to a benchmark threshold array and generating an ability bitmap vector; a topology construction module, which is used for sequentially stacking the vector to construct a global state bitmap matrix; a constraint conversion module, which is used for compiling task constraints into a demand bitmap vector; an activity screening module, which is used for realizing logical filtering on the matrix by using an activity bit mask to generate a candidate resource bitmap; and a matching distribution module, which is used for calculating a bitwise AND result and issuing an instruction. According to the application, continuous state quantity is mapped to a Boolean logic space, the matching cost is changed from floating-point operation into bit operation which is supported by a processor originally, the computing power deadlock under high-frequency concurrency is eliminated, and it is ensured that the distribution action is completed within a determined clock period.

The application relates to the technical field of enterprise management, and discloses an enterprise key performance indicator unified management and visualization system based on a data middle platform, which comprises a cause-and-effect topology construction module, a data aggregation and regularization module, a cause-and-effect strength optimization module, an indicator abnormality identification module, an abnormality cause backtracking module and a decision simulation visualization module, constructs a key performance indicator topology relationship, obtains a cause-and-effect influence framework, aggregates and regularizes multi-source heterogeneous business data, obtains an indicator time sequence data sequence, optimizes the influence strength of the cause-and-effect influence framework based on the indicator time sequence data sequence, obtains a cause-and-effect strength matrix, identifies a key performance indicator abnormality mode based on the cause-and-effect strength matrix, obtains an abnormal indicator event, backtracks a cause-and-effect influence framework path according to the abnormal indicator event, obtains a core cause link, simulates a decision path based on the core cause link, and obtains a visual decision report; and the application can improve the unified management efficiency of enterprise key performance indicators.

This invention discloses a method, device, medium, and program product for constructing a multi-chip three-dimensional topology, relating to the field of topology rendering technology. The multi-chip three-dimensional topology construction method includes: laying out a chip simulation model in a first dimension to obtain a one-dimensional topology to be completed; creating a two-dimensional topology to be completed based on the number of chip units in a second dimension and the one-dimensional topology to be completed; and copying the two-dimensional topology to be completed along the third dimension according to the number of chip units in a third dimension to obtain a multi-chip three-dimensional topology. The technical solution of this invention can improve the flexibility of multi-chip three-dimensional topology construction.

This invention discloses an AI video behavior real-time analysis system for police law enforcement recorders, relating to the field of video behavior analysis. It includes: a topology construction module S101, used to collect spatial location information of key human body points from real-time video and construct an initial human body topology map using the spatial location information; a topology reconstruction module S102, used to dynamically reconstruct the topology of the initial human body topology map using a graph convolutional network with sparse constraints on topological connections, obtaining a dynamic topology feature map; and a feature extraction module S103, used to extract local motion pattern features of human behavior based on the dynamic topology feature map and use the local motion pattern features to determine potential areas of behavioral abnormalities. This invention achieves accurate identification and real-time positioning of abnormal behaviors in police law enforcement recorder videos by constructing a human key point map that integrates dynamic topology reconstruction and local motion pattern analysis.

This invention relates to the field of rail transit technology and discloses a method for dynamic evacuation route planning in subway station fires. The method includes a fire simulation module for constructing a fire simulation model of the subway station, acquiring fire data for the entire station, and extracting key data on changes in hazard-causing factors at critical evacuation nodes; a network topology construction module for establishing a "starting point - critical evacuation node" network topology based on pedestrian distribution and critical evacuation nodes; a global route planning module for planning the selection of critical nodes for each group of people using Dijkstra's algorithm based on the network topology; a grid topology construction module for optimizing local path details between critical nodes using a Q-learning algorithm based on the global planning; and a route reconstruction module for real-time reconstruction of evacuation routes at different stages of fire development, taking into account the available time of critical evacuation nodes. This method can alleviate congestion while planning safer evacuation routes for passengers based on the dynamic evolution of the fire.

The application discloses a new energy automobile CAN bus topology construction method and system, the method comprises the following steps: obtaining controller information, message information and engineering constraint conditions of a CAN network; based on the message information, taking the engineering constraint conditions as the screening basis, generating and iteratively optimizing a candidate topology scheme set under a pre-constructed coding rule through an evolution algorithm until a termination condition is met, and obtaining an optimal scheme; outputting a controller-bus distribution relationship corresponding to the optimal scheme; through the establishment of an accurate mathematical model, the application converts network topology design into a multi-objective optimization problem, effectively solves technical problems such as experience dependence, uneven load and rigid architecture, and provides an innovative idea for automobile electronic and electrical architecture design.

This invention relates to the field of computer technology, specifically to a method, apparatus, electronic device, and computer-readable medium for allocating decoration resources. One specific embodiment of the method includes: performing spatial entity topology construction processing on building information to obtain a set of room entity component information and a set of component topology information; performing combination construction processing on the set of room entity component information to obtain a set of component combination feature information; based on the component topology information set, performing room function identification processing on the component combination feature information set to obtain a set of room function labels; performing material boundary detection processing on the set of room entity component information to obtain a set of boundary feature information; performing process material parsing processing on the set of room function labels and the set of boundary feature information to obtain a set of process material information; and generating decoration resource allocation instructions based on the process material information set to control decoration resource allocation equipment to execute decoration resource allocation. This embodiment improves the adaptability of decoration resource allocation.

A collaborative fault handling system and method for provincial and local power grids based on multi-source data includes: a multi-source data processing unit that collects heterogeneous data from multiple sources, and forms a power grid state feature vector through normalization processing and knowledge graph construction; a topology construction unit that generates a power grid operation topology map through a depth-first search algorithm; a fault intelligent diagnosis unit that uses wavelet transform and graph theory search algorithms to locate fault nodes and uses the Newton-Raphson method to calculate the fault impact range; and a collaborative handling decision-making unit that optimizes fault handling plans through a case-based reasoning model to obtain an operation instruction sequence, and then relies on instant messaging and a workflow engine to achieve collaborative handling by provincial and local multi-level dispatching agencies. This invention, through multi-source data integration and multi-algorithm collaborative application, fully leverages the complementary value of real-time power grid operation, management, fault recording, and external environmental data compared to traditional fault diagnosis methods that rely on single data or simplified algorithms.

The application relates to the technical field of nursing monitoring, and discloses a nursing data intelligent monitoring method and system.The method comprises the following steps: correcting the time stamp of a multi-source nursing data stream to obtain time-series nursing data; performing semantic repair on the time-series nursing data to obtain standardized nursing data; performing topology construction on the standardized nursing data to obtain a dynamic time-series dependency graph, and performing cross-modal correlation analysis on the standardized nursing data based on the dynamic time-series dependency graph to obtain a composite nursing event sequence; performing abnormal mode attribution analysis on the composite nursing event sequence to obtain root cause abnormal data; performing risk probability mapping on the multi-source nursing data stream based on the root cause abnormal data to obtain a hierarchical early warning signal; and structurally packaging the hierarchical early warning signal, the root cause abnormal data and the composite nursing event sequence to obtain an intelligent monitoring report.The application can improve the efficiency of nursing data intelligent monitoring.

The present application relates to the technical field of thermal power generation operation and maintenance, and particularly relates to a fan operation health degree monitoring management system, which performs time alignment and denoising processing on vibration signals and working condition parameters of monitoring components through a data acquisition and processing module, establishes a component mapping directed topological graph based on a physical connection structure by using a transmission chain topology construction module, calculates a theoretical dynamic response and generates physical residual features by using a physical information neural network through a physical feature enhancement module, combines a space-time graph reasoning module to splice the pretreatment data and the residual, and then calculates the node attention weight and the fault propagation feature by using a space-time graph attention network, and further outputs the health degree probability and the fault mode through a health evaluation module, so that finally an early warning signal and an operation and maintenance work order containing a maintenance strategy are generated by an operation and maintenance decision module according to the evaluation result, thereby effectively improving the accuracy of fan fault diagnosis and the intelligent level of operation and maintenance decision.

The application discloses a kind of analog simulation data management system and method applied to integrated circuit, it is related to data management technical field.The system of the present application includes: benchmark topology construction and storage module, topology change monitoring and archiving module, simulation data difference analysis and binding module and simulation data traceability module;The method of the present application is by constructing structured benchmark topology information and is associated with simulation data storage, real-time monitoring netlist topology change and quantifying multidimensional difference degree, determining effective change and generating unique identification archive;Based on the topology after change, carry out simulation, calculate waveform and performance index difference and establish correlation index;According to the reverse search instruction of traceability, locate change information and complete traceability verification.The present application realizes the linkage management of topology change and simulation data, improves data tracing efficiency, solves integrated circuit simulation data traceability difficult, management confusion, change and result disconnection problem, ensures that simulation data is searchable, traceable and verifiable.

The application discloses a communication self-organizing network dynamic topology construction method and system based on a UAV cluster, and relates to the technical field of communication self-organizing networks.The method comprises the following steps: performing communication signal listening on a target UAV cluster to obtain a physical layer signal timing, and analyzing the physical layer signal timing to obtain an initial communication topology structure; identifying the stability of the initial communication topology structure to obtain an initial target node set; extracting any node in the initial target node set, and performing topology optimization on the any node to form an arbitrary communication topology; and performing communication self-organizing network dynamic updating on the initial communication topology structure to obtain a target communication topology structure.The technical problems of poor communication topology structure stability, link connection failure and insufficient network dynamic adaptation capability of the UAV cluster in the process of high-speed movement and dynamic networking in the prior art are solved, and the technical effects of improving the communication self-organizing network topology stability, link reliability and dynamic networking self-adaptation capability of the UAV cluster are achieved.

The embodiment of the application provides a kind of green infrastructure multi-objective collaborative optimization system, including: graph neural network space topology construction module is configured to establish space adjacency graph based on input geographic space layer, and node feature is encoded and aggregated, obtain multiple space embedding feature vectors.Hydrology simulation and feedback evaluation module is configured to generate multidimensional simulation simulation dataset based on physical simulator.Distillation agent modeling module is configured to train GNN model based on multidimensional simulation simulation dataset and multiple space embedding feature vectors;And light weight GNN agent model is obtained.Lightweight. Multi-agent reinforcement learning optimization decision module is configured to calculate the optimal green infrastructure layout combination of node based on multiple space embedding feature vectors under the restriction of multi-objective constraint condition and facility layout upper limit.Hydrology simulation and feedback evaluation module is further configured to verify the optimal green infrastructure layout combination in physical level.

This invention discloses a method, system, device, and medium for fieldbus redundancy switching control, belonging to the field of fieldbus redundancy switching technology. The method includes: acquiring link data, eliminating transient interference through a time-domain verification model, and after confirming a steady-state fault, driving the physical model to synchronously switch the signal and shielding loops to complete topology reconstruction. The system includes a topology construction module, a data acquisition module, a time-domain verification and analysis module, a switching command generation module, and a physical execution module. This invention solves the problem of susceptibility to interference and misjudgment in traditional voltage threshold determination methods by introducing timing behavior feature analysis of failure characterization and de-jitter logic; it utilizes the electromagnetic attraction force generated by the anti-interference driving unit to force the physical synchronous migration of the signal loop and the shielding loop, solving the pain point of shielding layer floating or grounding conflict caused by traditional relay switching, effectively improving the logical confidence and physical immunity of redundancy switching, and ensuring the continuity of process variable data.

This invention discloses a dynamic fieldbus configuration system and its construction method, relating to the field of industrial automation control. The dynamic fieldbus configuration system includes a device scanning and modeling module, a topology construction and verification module, a configuration generation and verification module, an incremental update monitoring module, an automatic code generation module, and a configuration persistence management module. The construction method of this invention sequentially implements device scanning and modeling, dynamic topology construction and verification, configuration generation and verification, incremental update monitoring, automatic code generation, and configuration persistence management. This invention improves configuration adaptability and efficiency through dynamic topology construction, fine-grained incremental updates, and multi-dimensional verification, and achieves configuration reuse and reliable maintenance through template-driven code generation and JSON format persistence, making it suitable for CAN bus-related industrial control scenarios.

The application discloses a visual simulation interaction platform and method supporting IPv4 / IPv6 dual stack network, relates to the field of IPv4 / IPv6 dual stack network configuration, and comprises the following steps: obtaining a user's topology construction operation on a virtual network device, and establishing an initial network topology; generating an IPv4 address and an IPv6 address for an interface; automatically injecting corresponding IPv4 direct connection routes and IPv6 direct connection routes in a routing table of the virtual network device; calling IPv4 protocol stacks and IPv6 protocol stacks in parallel and independently to process data packets; capturing information of IPv4 data streams and IPv6 data streams in real time, and simultaneously presenting transmission states of the two kinds of data streams in a visual interface by using different visual elements. The visual interaction realizes rapid construction of an IPv4 / IPv6 dual stack network topology, effectively reduces the operation complexity of dual stack network simulation, and improves simulation authenticity and observability.

This invention relates to the field of safety supervision technology, specifically to a mine operation safety supervision system and method, including a map topology construction module, a status attribute update module, a protective boundary generation module, an operation interference early warning module, and a comprehensive safety intervention module. In this invention, by constructing a supervision map topology that includes mine business processes and three-dimensional spatial features, integrating dynamic data such as mechanical current characteristics and roof deformation and micro-vibrations to update node attributes and generate a three-dimensional safety geometric closed protective boundary, and combining the expected space occupied by target machinery with downtime for interference early warning analysis, this invention achieves proactive dynamic identification of potential spatiotemporal overlapping risks in mine construction operations. This automatically avoids potential violations during human-machine cross-operations and accurately links nearby audible and visual alarms in dangerous areas to efficiently protect the lives of on-site construction personnel, thereby ensuring and improving the overall safety of mine operations.

The application discloses an AOC active optical cable transmission performance optimization method for high-speed interconnection of a wisdom calculation center, relates to the technical field of high-speed interconnection communication optimization, and comprises the following steps: collecting training operation data of a GPU cluster of the wisdom calculation center, identifying a current GPU training stage according to the training operation data, determining communication requirements of a next scheduling period based on the GPU training stage, and predicting a micro-burst traffic state of an AOC link according to the communication requirements; determining an AOC link to be evaluated according to the micro-burst traffic state, obtaining link state data of the AOC link to be evaluated, calculating a sub-health score of the AOC link to be evaluated based on the link state data, and generating a link risk topology in combination with the micro-burst traffic state. Through the fusion of GPU training stage sensing, AOC link risk topology construction and improved sea squirt swarm intelligent optimization mechanism, the transmission stability and dynamic response capability of the AOC link in the high-speed interconnection scene of the wisdom calculation center are improved.

This invention discloses an intelligent notebook storage method and system based on multimodal semantic topology. The system includes: a multimodal acquisition module, a feature extraction engine, a dynamic topology construction module, an adaptive optimization module, a 3D mapper, an index manager, and a retrieval interface. By setting up a multimodal semantic topology engine, when storing multimodal note content, it ensures the accuracy of semantic association between different modal data by constructing a dynamic semantic network topology structure and generating a cross-modal association degree matrix based on a graph neural network. At the same time, it establishes cross-modal semantic association topology in real time by topologically associating the feature vectors of text, handwriting, image, and voice data, solving the problem of fragmented storage of key information, ensuring the integrity of cross-modal data association, and reducing the semantic retrieval error rate.

This application discloses a method, system, device, and computer medium for constructing network asset topology, relating to the field of network security technology. The method involves: collecting traffic data from a target network to obtain basic traffic data; generating a basic asset topology for the target network based on the basic traffic data; obtaining a known asset topology for a known network; performing topology inference on the basic asset topology based on the known asset topology to obtain an inferred asset topology; collecting traffic data from the target network to obtain verification traffic data; checking the correctness of the inferred asset topology based on the verification traffic data; if the inferred asset topology is determined to be incorrect, adjusting the topology inference strategy and returning to the step of performing topology inference on the basic asset topology based on the known asset topology; if the inferred asset topology is determined to be correct, determining the target asset topology for the target network based on the inferred asset topology. This application reduces the resource consumption of network asset topology construction, weakens the limitations of traffic data on asset topology, and has good scalability.

The present application relates to electronic experimental equipment technical field, specifically for a kind of electronic information engineering's movable experimental system and control method, system includes: propagation analysis module, apparent connection construction module, hidden connection determination module, topology construction module, regulation and control execution module.In the present application, by analyzing the port potential response, the intelligent detection and construction of circuit connection relationship are realized, the explicit and implicit connection are accurately identified and screened, and the precision and automation level of circuit regulation and control are improved.By comparing the complete circuit topology data constructed in real time with the preset standard connection state, abnormal connections in the circuit can be quickly found and corrected, and the reliability and efficiency of experimental operation are significantly improved.This way reduces the interference of manual operation in the process of circuit building, improves the accuracy of circuit debugging and verification, ensures the stability and repeatability of experimental data, and provides a more intelligent and accurate experimental environment for teaching and scientific research.

This invention relates to the field of industrial communication technology and provides a data transmission method for multi-redundant networks, comprising: constructing a basic topology network based on a master device and several slave devices; establishing connections with redundant ports of other devices through the redundant ports of the master device to form redundant links; when a device receives a real-time data packet, determining the target address of the identity identifier carried in the packet in the real-time data routing table; querying the status of the corresponding bit in the real-time data routing table according to the type, identity identifier, and packet sequence number of the real-time data packet, and performing a receive-allow or reject-forward operation; when a device receives a non-real-time data packet, querying the identity identifier and checksum stored in the non-real-time data routing table; and performing a receive-allow or reject-forward operation based on the matching of the query result with the information carried in the packet. This addresses the inherent limitations and core defects of existing industrial network topology construction methods and data transmission mechanisms.

The present application relates to the technical field of micro-service architecture, and particularly to a GPU cluster load balancing system based on micro-service architecture, which comprises a micro-service topology construction module for real-time capturing source service identifiers and target service identifiers in requests according to remote procedure call request streams generated by components in the micro-service architecture. In the present application, the original cross-node remote network communication is converted into high-speed memory access within the node, the network bandwidth pressure and communication delay within the cluster are reduced, the idle state of the physical node is locked and the health degree is evaluated and screened, the tasks are ensured to be placed on the most stable computing resources, the independent computing units and address spaces are divided according to the memory requirements of the tasks by using the GPU multi-instance segmentation interface, the hardware-level isolation of resources is realized at the physical level, and the concurrent processing capacity and overall resource utilization of the GPU cluster are improved.

The application relates to the technical field of bridge engineering and structural health monitoring, and discloses a bridge damage identification and life prediction method fusing deep learning, which first calculates structure effective temperature and node comprehensive risk potential energy indexes based on heat conduction lag law and cumulative fatigue damage degree; measured hysteresis loop non-closure degree is verified by using a theoretical hysteresis loop non-closure prediction model to effectively eliminate sensor drift noise; then, a dynamic weighted adjacency matrix is constructed according to the numerical difference of the node comprehensive risk potential energy between nodes, and effective strain data sets are subjected to feature aggregation; finally, a hidden layer feature vector and structure effective temperature serving as a conditional constraint are input into a conditional variational autoencoder to generate a reconstruction residual, and the reconstruction residual is compared with a dynamic alarm threshold. Through data cleaning driven by physical laws and risk homogeneity topology construction, the application effectively decouples environmental thermal effect interference, and realizes precise state evaluation and life prediction of a bridge in a whole life cycle.

This invention relates to the field of healthcare informatics technology and discloses an information processing system for clinical decision support in acupuncture, comprising: a physiological parameter feature extraction module, a graph theory topology construction module, a decision scheme calculation module, and a feedback correction module. The system extracts the temporal statistical features of physiological impedance data streams to generate state vectors, constructs a meridian topology directed graph by combining the spatial distribution relationship of sites, and corrects the transmission edge weights using node inertia penalty terms. By solving for the minimum value of the target cost function, the target intervention site set is determined. This invention eliminates the lack of tissue fatigue perception in traditional schemes by quantifying physiological inhibition cycles and state inertia, realizes dynamic optimization of meridian topology energy, ensures intervention safety, and improves the decision accuracy of acupoint selection.