130 results about "Topology information" patented technology

This invention discloses a method and system for rapid vehicle location tracking via door locks. The method includes: configuring topology information containing neighboring door lock addresses for each unit door lock based on a preset community access topology map; the resident door lock sending an IGMP join message to a preset multicast address; generating a discovery message based on the first detection of a Bluetooth tag signal by the unit door lock, and forwarding it to predicted neighbors via unicast according to the neighbor topology; the unit door lock receiving the discovery message switching its Bluetooth detection mode from low frequency to high frequency, forming a relay detection chain along the predicted path; and, based on the condition that the tag's signal strength remains stable near a certain unit door lock, generating a formal announcement multicast message, which is then forwarded by a router to the corresponding resident door lock, completing the vehicle location push. Using this invention, rapid, accurate, and low-power vehicle Bluetooth tag location can be achieved, improving the location response speed and system coordination efficiency in a community environment.

The application relates to the technical field of microfluidic fiber arrangement, and particularly relates to an AI-assisted novel fiber paperboard preparation method and system.The method obtains fiber rheological characteristics and target topological information, constructs a response prediction model, and reversely generates a driving control time sequence of a microfluidic channel.A time-space non-uniform field is applied by using a phase difference modulation mechanism, the fiber is guided to complete spatial locking according to a preset orientation in a multi-channel intersection area, and an intermediate configuration is formed.The local orientation state is collected in real time, topological comparison is carried out to obtain a global mismatch degree, and the subsequent modulation parameters are dynamically compensated and closed-loop optimized according to the global mismatch degree.The application realizes high-precision, self-adaptive regulation and control of fiber arrangement, and improves the structural consistency and performance controllability of the fiber paperboard.

The application discloses a kind of based on real-time positioning and physiological data's cruise ship emergency evacuation guiding system and method, including bracelet terminal, monitoring subsystem, server platform and client;Bracelet terminal is worn in passenger or crew hand, including heart rate sensor, navigation display and prompt unit, wireless communication module and control circuit etc..Heart rate sensor is used to collect the heart rate information of wearer, navigation display and prompt unit are used to display route guide and provide vibration or voice prompt.By constructing dynamic electronic fence based on computer vision, combined with real-time personnel position and channel topological information to carry out evacuation simulation, generate and dynamically adjust the optimal evacuation path, and use physiological data such as heart rate to optimize the evacuation guiding strategy, trigger nearby rescue dispatch for people with abnormal vital signs, so as to improve the efficiency and safety of cruise ship emergency evacuation.

This application provides a data processing method, apparatus, device, and readable storage medium, relating to the field of computer technology, and applied to a first node. The method includes acquiring tree topology information, where the tree topology information indicates a first tree topology among N nodes. The root node of the first tree topology includes the node with the lowest data transmission / reception capability among the N nodes. The N nodes include the first node, and the N nodes are used to execute the allreduce operation, where N is a positive integer greater than 1. The method also involves establishing connections with M nodes among the N nodes based on the tree topology information, where M is a positive integer less than or equal to N. This application uses the node with the lowest data transmission / reception capability as the root node to execute the tree algorithm, which can reduce the impact on the overall computational performance of the tree algorithm, thereby ensuring the performance of the allreduce operation.

This invention discloses a method for outputting detailed OpenFOAM boundary surface mesh information. This method directly extracts mesh information from specified physical boundary surfaces based on OpenFOAM numerical simulation results. It automatically obtains geometric information such as coordinates, area, and normal vectors of all user-interested facets from a large number of complex topologically connected mesh cells; topological information such as the index number and mesh number of all facets; and physical field data information on all facets. The results are written to one or more data files in a format easily readable and visualized by common data post-processing software. This invention, employing the aforementioned method for outputting detailed OpenFOAM boundary surface mesh information, can flexibly adapt to various meshes, automates information extraction and output, reduces the complexity of post-processing operations, saves time and costs, supports subsequent boundary surface flux calculations, visualization analysis, and other tasks, and improves the efficiency and accuracy of post-processing for complex numerical simulations.

This invention discloses a voice line fault analysis method based on big data, belonging to the field of line fault analysis technology. The invention includes the following steps: synchronously acquiring raw voice signals and network jitter data from the voice line; preprocessing the voice and network data; extracting amplitude fluctuation features from the processed voice signal; converting voice fluctuations and network jitter into frequency domain signals and calculating the correlation strength between the two within a key frequency range; comparing the calculated fault index with an adaptive dynamic threshold to determine whether a fault has occurred; analyzing the key frequency components leading to the fault and, combined with network topology information, determining the specific physical location of the fault; and generating a structured report containing fault details and location information. This invention, by analyzing the coherence of the voice signal modulation spectrum and network jitter sequence within a key frequency range and constructing a dynamic fault index, can achieve the identification and location of voice line faults.

The application provides a distributed photovoltaic grid-connected intelligent scheduling operation and maintenance method, obtains power generation output data of a photovoltaic access point and power grid voltage data of surrounding nodes, adopts a data analysis method to reveal voltage change trends, simulates voltage rise amplitude when photovoltaic output suddenly increases in combination with power grid interconnection structure characteristics, identifies a risk area if the amplitude exceeds a threshold value, extracts key node state data and classifies the same, determines a voltage fluctuation propagation path by fusing topological information, simulates the influence of a scheduling instruction on voltage distribution, optimizes a scheduling strategy and performs pre-control simulation, ensures that a voltage stability range meets safety standards, and finally realizes risk identification and mitigation. The application effectively balances photovoltaic power generation output and power grid stability, improves the intelligent scheduling operation and maintenance capability of distributed photovoltaic grid connection, and provides a technical guarantee for safe operation of a power grid.

The application discloses a conflict-aware automatic routing method and system for analog integrated circuits, and relates to the technical field of computers.The method comprises the following steps: constructing a minimum spanning tree based on layout file information of the analog integrated circuit, generating a topology of the analog integrated circuit based on the minimum spanning tree, and obtaining target topology information; performing access point planning processing based on the target topology information; performing initial path planning based on the target topology information and access point planning information, performing line network distribution on the initial path information based on a cross relationship graph, and obtaining initial path information after line network distribution; performing 3D monotonic routing processing on the initial path information after line network distribution; and performing enhanced routing processing based on 3D monotonic routing information by using an A algorithm, and obtaining target routing information of the analog integrated circuit.The application realizes reliable routing in a complex layout environment, and ensures that the routing result meets production process rules.

A processor-implemented method for indoor navigation map generation with accessibility information is provided. The method includes collecting a plurality of colored point cloud maps by utilizing both mobile and stationary mapping systems. The map can be aligned with an outdoor map if the GNSS or the global coordinate is available. The method also includes performing semantic segmentation based on at least implicit representation and synthetic data- aided training network for generating a plurality of structural elements and a plurality of functional elements. The method also includes performing topology-aided structural modeling by generating a structural building information modeling (BIM) using topology information at a plurality of levels of topology and by automatically applying a plurality of levels of topological constraints associated with the structural elements. The method also includes performing parametric modeling by detecting a plurality of functional objects in the functional elements using one or more simulated datasets including simulations of lighting, and environmental conditions.

This invention relates to the field of power distribution equipment condition monitoring, and discloses a method for online monitoring and fault diagnosis of the operating status of a power distribution cabinet. The method includes: acquiring the electrical connection topology information, internal spatial distribution information, and monitoring point layout information of the power distribution cabinet; establishing multiple monitoring zones; collecting electrical parameters, temperature parameters, and environmental parameters of each monitoring zone and the power distribution cabinet; determining the current operating condition label based on the operating data and extracting the corresponding reference state sequence; calculating the electrical deviation, corrected temperature rise deviation, thermal response hysteresis deviation, and insulation risk deviation of each monitoring zone; forming a candidate fault evidence chain based on a preset fault mechanism, performing mutual exclusion filtering, determining the target fault type, fault level, and diagnostic confidence, and outputting the fault diagnosis result. This method can improve the ability to distinguish different fault types in power distribution cabinets and the accuracy of diagnosis.

Various methods and processes, apparatuses or systems, and media for performing a link prediction of a missing node in a knowledge graph are disclosed. The present disclosure provides acquiring the knowledge graph and extracting a set of information from the knowledge graph, the set of information indicates data entities and edges. Each of the edges indicates a relationship between a pair of data entities. The method further includes identifying triplets included in the knowledge graph, in which each of the triplets includes a pair of nodes connected by an edge, and generating an ontological graph model based on the triplets identified and the acquired knowledge graph. The method further performs, via the LLM, a link prediction for the missing node of the knowledge graph based on the generated ontological graph model.

The application provides a bolt recognition method and system and an electronic device, and relates to the technical field of computer-aided engineering. The application determines the connection relationship features between the candidate sub-regions and adjacent virtual components by acquiring the geometric features of the candidate regions in the assembly model, combining the connection topological information of the candidate sub-regions in the assembly model, and inputting the connection relationship features into a multi-modal learning model for bolt recognition, so that efficient and accurate recognition of the bolt is realized, and the fault tolerance and recognition accuracy are higher in complex assembly structures.

The application discloses a method, device and electronic equipment for defending wormhole attack in a wireless sensor network, and belongs to the technical field of wireless communication. The method for defending wormhole attack comprises the following steps: dividing a weighted undirected graph corresponding to nodes in the wireless sensor network into a plurality of communities; reconstructing the weighted undirected graph by using a key node set in each community to obtain a reconstructed graph; simplifying the original large-scale network into a simplified network containing only key nodes by graph reconstruction, while retaining the key topological information of the original network, thereby providing a basis for efficient high-risk node pair selection. Further, high-risk node pairs corresponding to wormhole attacks are found from the reconstructed graph; the high-risk node pairs thus found are prone to be used by attackers to implement wormhole attacks with high concealment by using a selective forwarding method. Further, the high-risk node pairs corresponding to the wormhole attacks are defended, which can significantly improve the defense effect of the wormhole attack nodes deployed.

The application discloses an unmanned aerial vehicle inspection task execution method and device and electronic equipment. The method comprises the following steps: receiving and responding to a predetermined inspection task, acquiring multi-modal sensor data; performing cross-modal semantic alignment and feature fusion operation according to the multi-modal sensor data to obtain a fusion feature vector; determining component instance information according to the fusion feature vector; generating a first flight control instruction of the unmanned aerial vehicle according to the component instance information, and controlling the unmanned aerial vehicle to fly according to the first flight control instruction; and constructing a line space topology graph according to visual imaging data, spatial depth point cloud data, attitude inertia sequence data, position coordinate data and component instance information. The application solves the technical problems of low tracking flight accuracy of the unmanned aerial vehicle, lagging update of line topology information and missing connection relationship in the related art.

This application relates to the field of chip verification technology, and in particular to a method for constructing a verification platform for flexible GPU interconnection. It includes: obtaining a topology information description file; the topology information description file includes interconnection information of several topologies and topology information of each design under test (DUT) included in each topology; the DUT is a functional module in the GPU that is interconnected with external systems; instantiating the DUT according to the topology information description file; constructing a verification environment in the test platform that matches the topology in the topology information description file according to a dynamic configuration file; the dynamic configuration file is obtained by parsing the topology information description file; and implementing connections between DUTs and between the DUTs and the verification environment according to the dynamic configuration file. This invention can solve the problems of existing methods, such as fixed verification environment structure, insufficient reusability and scalability, and difficulty in supporting verification of multiple types of DUTs and various interconnection topologies and interconnection modes.

This invention belongs to the field of image recognition technology, specifically relating to a multimodal feature collaborative fusion method and apparatus based on physical topological information theory. The method includes: acquiring an image to be recognized and performing physical prior-driven adaptive preprocessing to obtain an enhanced preprocessed image; extracting associative multimodal features under physical rule constraints to obtain shape, texture, and spatial feature sets with physical labels; constructing a physical rule space and projecting each feature set onto this space to obtain corresponding projected features; calculating the information synergy between any two projected features and generating dynamic fusion weights for each feature set based on the information synergy; performing weighted fusion of the three feature sets according to the dynamic fusion weights to obtain a comprehensive feature vector; inputting the comprehensive feature vector into a lightweight classification network and outputting the image recognition result. This invention solves the technical problems of lack of physical rationality and low recognition accuracy in existing multimodal feature fusion technologies.

The application provides a communication and calculation cooperative optimization method and device for a heterogeneous intelligent computing network, wherein the method comprises the following steps: generating a task access matrix according to a global sparse matrix; determining a node in which a data block resides and a processing unit in the node according to the task access matrix and node topology information; determining a communication transmission mode of the data block according to a sparse density and column dimension of the data block; and performing multi-flow concurrency to complete a calculation task of a current neural network layer. The application alleviates the parallel expansion bottleneck of a large model training of a computing network, and effectively slows down the growth trend of communication cost.

Embodiments of the present application provide a baseband board adjustment information generation method and device, a storage medium and a server. The method comprises: obtaining configuration information corresponding to a plurality of baseband boards; generating, according to the configuration information corresponding to each baseband board, hanging topology information corresponding to each baseband board; and generating at least one adjustment information group according to the obtained redundancy evaluation formula, the plurality of configuration information and the plurality of hanging topology information, thereby improving the efficiency and accuracy of baseband board distribution.

A system for monitoring server and application events, metrics or topology of an airport management system in a cloud infrastructure environment. The adapter can be coupled to a vROPS API of the cloud infrastructure environment and arranged to issue requests for data to the network via the vROPS API. The adapter can include a means for issuing multiple initial requests. The adapter can include a means for receiving initial responses to the multiple initial requests. The adapter can include a means for issuing multiple subsequent requests in response to each initial response. The adapter can include a means for receiving subsequent responses to the subsequent requests. The adapter can include a means for processing the subsequent responses related to each resource ID to provide events, metrics or topology information. The adapter can include a means for delivering the events, metrics or topology information to a user display system.

This application discloses a method and system for multimodal content source tracing analysis of social media propagation chains, including: collecting and preprocessing multimodal propagation data; encoding visual and semantic modal data through a deep feature extraction network and projecting it into a cross-modal alignment space to generate a fused semantic representation vector; calculating the weighted cosine distance through a modality adaptive attention mechanism to obtain the semantic fidelity attenuation, and combining it with platform encoding degradation estimation to obtain the net semantic attenuation; constructing a propagation dynamic graph based on propagation metadata with the net semantic attenuation as edge weights; aggregating propagation features through an edge-weight-aware graph convolutional network; tracing and locating the source node by performing reverse semantic gradient tracing through a source likelihood scoring network; and achieving specialized source tracing of adversarial mutation propagation through semantically invariant region detection and deep semantic structure correlation mining. This invention achieves deep coupling source tracing of content-level semantic information and propagation topology information.

The invention relates to a method for assessing a traffic situation (14) in an environment (17) of a vehicle (1) which is moving in a first lane (6) of a directional roadway (7), comprising: - providing traffic information relating to an adjacent second lane (11) of the directional roadway (7), wherein the traffic information characterises a traffic density relating to the second lane (11) and / or a traffic flow relating to the second lane (11), - providing topology information relating to a topology of the directional roadway (7), - determining an evaluation result relating to the traffic situation (14), by evaluating a potential lane change (13) of a further vehicle (12), which is moving within the environment (17) in the second lane (11), from the second lane (11) to the first lane (6) depending on the traffic information relating to the second lane (11) and the topology information, and - providing the evaluation result relating to the traffic situation (14). The invention also relates to an electronic driver assistance system (3) and to a vehicle (1).

The application belongs to the field of information processing and is a unified memory allocation management method for AI training of a heterogeneous architecture, comprising the following steps: S1: collecting hardware counter indexes and software layer operator graph topology information, calculating the instantaneous performance power consumption ratio of each heterogeneous node, and generating a global resource atlas with a weight label; S2: identifying a high communication operator cluster based on the global resource atlas, mapping the required memory to a physically adjacent area, constructing a cross-chip virtual continuous address space, and dynamically migrating the load under the delay constraint according to the performance power consumption curve; S3: predicting the future survival period of a memory block by using a timing model, triggering lazy fragment compression only for the region predicted to be released, and inserting the arrangement micro-operation into the idle period of the computing core for execution; S4: collecting throughput, delay, energy consumption and fragment arrangement hit rate data, calculating a reward function, and updating the weight parameters of the timing model in real time, and dynamically switching the special sub-model strategy according to the characteristics of the current training stage.

This invention relates to the field of power grid coordinated control technology, and particularly to a method, system, and medium for assessing the load potential of electric vehicles through a coordinated approach between the main grid, distribution network, and microgrid. The method includes: acquiring power grid topology information, charging behavior data, user travel data, and power grid operation data; forming grid cells from the distribution network; constructing a coordinated architecture of the main grid layer, distribution network layer, and microgrid layer based on the grid cells; generating user behavior profiles based on the charging behavior data and user travel data; predicting the charging load of each grid cell based on the user behavior profiles and power grid operation data; aggregating the adjustable power of the electric vehicle group, constructing a generalized energy storage equivalent model, and determining the regulation potential boundary; generating a guidance strategy and outputting charging load adjustment instructions, and continuously correcting the electric vehicle charging load and regulation potential boundary. This invention effectively solves the problems of inaccurate electric vehicle load prediction and distorted regulation potential assessment, which make it difficult to support refined power grid control.

The application provides a water quality pollution monitoring method and device fusing multi-source data and a storage medium, and relates to the technical field of water quality monitoring. The method deeply integrates multi-source water quality data and monitoring point spatial topological information through key steps such as data preprocessing, cross-modal feature fusion, pollution concentration estimation and graph neural network tracing, and constructs a full-process automatic monitoring system. The application realizes end-to-end processing from data standardization to pollution emission source positioning, effectively breaks through the barrier of multi-source heterogeneous data, fully excavates the complementary value and spatio-temporal correlation law of different modal data, improves the integrity, accuracy and efficiency of water quality pollution monitoring, accurately locates the position of the emission source and the pollution diffusion path, provides full-link and targeted technical support for water quality pollution control and management decision-making, and solves the problems of low utilization rate of traditional monitoring data and insufficient tracing accuracy.

The present application belongs to the field of power system safety, and particularly relates to a kind of inversion reduction method of urban power grid structure, in view of the problems existing in prior art, the typical observable sign of cable and the coupling relationship between cable laying and road network are analyzed, the framework requirement of urban power grid planning principle on power cable laying is considered, the topological inversion double-target optimization model of possible network frame is proposed based on the perspective of attacker, and the inversion reduction method of urban power grid network frame under incomplete topological information is formed.

This invention discloses a brain disease classification and prediction method and system based on a multimodal topological sensing graph network, relating to the field of medical image processing technology. By fusing temporal signals from functional magnetic resonance imaging (fMRI) and spatial structure signals from diffusion tensor imaging (DTI), a spatial structure prior matrix is ​​introduced as a topology modulator to impose physical connectivity constraints on the constructed multi-view functional interaction network. Furthermore, a spatiotemporally coupled global fusion graph is generated through a cross-modal attention mechanism. Graph neural networks are used to extract local nodes, mesoscale subnetworks, and global topological statistical features to construct a global state feature vector. Finally, a two-stage optimization learning framework is employed, combining multi-objective self-supervised pre-training and supervised fine-tuning to improve the model's classification performance and robustness under small sample conditions. This invention effectively solves the problems of functional connectivity redundancy, lack of structural constraints, and loss of topological information in traditional methods, significantly improving the accuracy and interpretability of brain disease classification.

The application provides an accident hidden danger road section dynamic identification method and platform based on multi-dimensional data fusion, relates to the technical field of traffic data identification, and comprises the following steps: converting a target road section area into a directed graph to determine a road network topology; generating a normal situation partition traffic trajectory through multi-dimensional road network data, judging a single vehicle trajectory and a traffic disturbance mode in combination with a real-time traffic trajectory, and generating a hidden danger identification instruction; positioning a hidden danger road section in the road network topology, performing combined inversion and state transition probability analysis based on random variables, and generating a hidden danger probability curve; performing hidden danger disturbance propagation analysis in the road network topology, determining hidden danger identification information, and performing traffic hidden danger early warning management. The application can solve the technical problem of affecting the accuracy of traffic hidden dangers in the prior art, realize dynamic hidden danger identification and prediction capability based on real-time traffic flow data and road network topology information, and achieve the technical effect of accurately identifying the space-time distribution of hidden dangers.

The application provides an inter-network subscription signaling topology hiding method, a restoring method, a device and a medium, relates to the technical field of communication, and is used for solving the problem that the prior art lacks a scheme for hiding the topology of the local network lNRF network element in the inter-network subscription signaling, which may cause the sensitive information of the local network to be leaked to the foreign network. The hiding method comprises the following steps: receiving a first inter-network subscription signaling from the local network; obtaining the real address of the local network local network registration function lNRF network element from the first inter-network subscription signaling; performing topology hiding on the real address of the local network lNRF network element to obtain a hidden address of the local network lNRF network element; replacing the real address of the local network lNRF network element in the first inter-network subscription signaling with the hidden address of the local network lNRF network element to obtain a second inter-network subscription signaling; and sending the second inter-network subscription signaling to the foreign network. The application avoids the real address of the local network lNRF network element that needs to be kept secret from being leaked to the foreign network, and ensures the safety of the information of the local network.

The application discloses a cloud-native application operation and maintenance troubleshooting method and device and a storage medium, and the method comprises the following steps: sending alarm information; acquiring topology information of a Pod instance corresponding to the alarm information; acquiring a near-time period alarm list and a near-time period index monitoring graph of an associated resource object from the topology information; determining an abnormal resource object based on a large language model and a multi-modal image model inference; extracting a feature vector of a current fault from the alarm information, near-time period log information and the near-time period index monitoring graph of the abnormal resource object, and screening a similar historical fault according to the similarity between the feature vector of the current fault and the feature vector of the historical fault; and performing root cause analysis based on the similar historical fault and technical document information of the abnormal resource object to determine a fault root cause. The above technical solution can at least accurately determine the fault root cause, improve the fault troubleshooting efficiency, and reduce the risk of business interruption caused by inaccurate or delayed manual judgment.

The application provides a robot movement control method and a robot, wherein the method comprises: in response to the robot reaching a current waypoint corresponding to a current time step, acquiring image information and attitude information of the robot at the current waypoint; determining a current semantic point cloud according to the image information and the attitude information; determining environment memory topological information of the current time step according to the current waypoint and the current semantic point cloud; determining a next waypoint of the current waypoint according to the environment memory topological information, and controlling the robot to move to the next waypoint. The application can convert instantaneous observation into structured environment memory information through the binding of the waypoint, the semantic point cloud and the environment memory topological information, realize the continuous accumulation of long-term spatial structure knowledge, realize the online mapping of an unknown environment, solve the problems of spatial memory fragmentation and the lack of long-term structure knowledge accumulation in the prior art, and further improve the robustness and efficiency of navigation decision-making.