102 results about "Logical topology" patented technology

The invention relates to the field of risk data visual tracing, and provides a visual track tracing method and system for a risk checking task, and the method comprises the steps: analyzing a heterogeneous data stream, separating a source metadata set, calculating an original structure entropy fingerprint, intercepting an end feature, embedding a global tracking identifier, and generating a packaging data package; generating transformed service data by using dynamic byte code instrumentation, constructing a runtime execution context and a differential snapshot, and transmitting an instantiated track node object according to a shunt delivery strategy; mapping and instantiating the logical topology execution graph based on the Hash fragments, and marking a pollution state and generating a total element execution link graph when the logic topology execution graph is abnormal; the method comprises the steps of generating a topology summary data packet, rendering a real-time state view, responding to physical interaction operation to construct a retrieval request data packet, reconstructing a full-amount service load through topology backtracking and reverse data evolution, and generating an attribution view in combination with static codes and rule description. According to the method, a dynamic trajectory tracing and full-link risk visualization mechanism of massive heterogeneous data is constructed.

The invention relates to the technical field of natural language processing, and discloses a generated text quality processing method and system based on a large language model, and the method comprises the steps: constructing a logic topological graph and a Laplacian matrix of an original generated text, and extracting a feature value sequence; recognizing a logic bearing wall based on the attention gradient and generating an anti-fact contrast text; calculating a logic collapse index by combining the difference between the map characteristic values of the original text and the contrast text and the logic polarity overturning condition; and judging the quality of the generated text according to the logic collapse index, blocking the text which does not pass the judgment, and shaping and resampling the output probability value of the error position by utilizing the spectrum difference information to generate a new text. The method does not need to depend on an external knowledge base, quantifies the stability of text logic through anti-fact interference and spectrum analysis, and identifies a high-risk illusion text; and a wrong logic path is automatically corrected through Logits shaping, so that the logic self-consistency of the generated content is improved on the premise of ensuring the semantic smoothness of the text language.

The invention discloses a pre-configuration protection method based on risk identification, and the method comprises the steps: collecting multi-dimensional data of a target electric power optical communication network, including logic topology information, a service demand set and dynamic environment data; logic links in the target power optical communication network are identified and divided into different shared risk groups, and a comprehensive risk index of each shared risk group is calculated; adding the shared risk groups of which the comprehensive risk indexes are greater than a preset risk index threshold value into a to-be-protected queue, and generating an optimal standby network loop for each shared risk group in the queue to obtain a network protection ring of the to-be-protected queue; when a to-be-processed service request is received, selecting a target protection path for the to-be-processed service request from the network protection ring, so that the to-be-processed service request is switched to the target protection path when a fault occurs; according to the invention, the network can be rapidly switched when a fault occurs, and the reliability and recovery speed of the power optical communication network are improved.

The invention relates to the technical field of data center computing power and electric power resource cooperative control, in particular to an electric power dynamic monitoring system based on a knowledge graph. Comprising a heterogeneous data spin mapping unit used for collecting current waveform data and voltage data of an intelligent power distribution unit; the topological coupling force field construction unit is used for acquiring physical topological data and logical topological data of the data center and generating a coupling strength matrix defining association weights among nodes; the dynamic potential energy evolution and gradient analysis unit is used for generating a potential energy gradient vector for indicating a regulation and control direction; the potential energy guiding regulation and control decoding unit is used for receiving the potential energy gradient vector; monitoring the modulus length of the potential energy gradient vector; and after the closed loop feedback logic and the hardware control signal are executed, the physical operation states of the intelligent power supply distribution unit and the server calculation unit are changed. According to the method, the mathematical abstraction ability and the quantization accuracy of the stability monitoring of the complex data center system are remarkably improved.

The invention provides a network multi-dimensional topology dynamic discovery method and device and a readable storage medium, and the method comprises the steps: Underlay physical topology discovery: collecting an Underlay physical link state through a BGP-LS protocol, and updating node and link information in real time; server-switch link discovery: determining an access relationship between a server and a TOR switch through mapping of an LLDP and an OpenStack interface; tOR Overlay logic topology discovery: constructing a VXLAN (Virtual eXtensible Local Area Network) tunnel between TORs by analyzing BGP EVPN routing information published by a TOR switch; and service link tunnel visualization: associating the Underlay physical topology with the Overlay logical topology, and generating a service dimension topology. According to the invention, the processing efficiency and accuracy of the network topology discovery method can be improved.

The invention relates to an IPv6 lightweight network equipment surveying and mapping method based on behavior fingerprints and hop count verification. Comprising the following steps: collecting metadata of original traffic in an IPv6 network; selecting a multi-dimensional feature vector from the metadata, processing the multi-dimensional feature vector, and generating a unique and stable fingerprint identifier for each device; sending a detection packet to the target device, calculating a forward path hop count, estimating a return path hop count of a response packet to obtain a reverse path hop count, and detecting the path by comparing the forward path hop count with the reverse path hop count; taking the fingerprint identifier as a topological node, taking a bidirectional path hop count detection value as a topological edge weight between devices, constructing an initial topological skeleton through a minimum spanning tree algorithm, and performing clustering optimization in combination with auxiliary data to obtain a network topological structure; and automatically deducing a hierarchical relationship according to the fingerprint identifier, the node hop count, the connection closeness and the behavior consistency, and generating an interactive logic topological graph for displaying abnormal nodes and associated paths.

The invention provides a network topology geospatialization expression method integrating force-oriented layout and layered mapping and related equipment, and is applied to the field of data processing. According to the method, network space element data including nodes, edges and hierarchy attributes and geographic space data serve as input, repulsive force, gravitational force and resultant force formulas are defined by combining algorithm parameters and based on a force-oriented layout algorithm, node positions are iteratively updated to converge, and layout constraints and a target function are applied to generate a two-dimensional network logic topological graph; classifying and processing the network elements to generate a visual result; dividing a network space in a multi-scale manner according to geographic space levels, and constructing a three-dimensional topological structure in combination with a hierarchical mapping strategy; and finally, fusing building three-dimensional model data, simulating facility distribution and machine room topological association, applying a symbolic constraint and flow association target, generating an interactive interface and a multi-dimensional result, and outputting network topology geospatialization information.

The application is applied to the field of architecture anti-corrosion technology, and discloses a method, device and equipment for preventing and controlling system architecture corruption, and a storage medium. The method comprises the following steps: acquiring a visual architecture topology graph; the visual architecture topology graph is drawn through a preset graphical editor; the visual architecture topology graph is a logical topology graph corresponding to a distributed application system; acquiring architecture model data based on the visual architecture topology graph; generating rule data corresponding to the distributed application system based on the architecture model data; and performing rule monitoring on business code by using the rule data to determine whether the business code meets the rule data. In this way, the automatic and comprehensive review of the business code is realized by the rule data generated by the architecture model data corresponding to the visual architecture topology graph without depending on the ability of an architect, thereby improving the anti-corrosion effect of the system architecture.

The invention discloses a flood routing simulation method and device for a multilayer underground building. The flood routing simulation method comprises the following steps: constructing a logical topology network structure of a multilayer underground building, wherein single-layer two-dimensional plane geometric information comprises height distribution of floors of floors; based on the constructed logical topology network structure, aiming at each floor in the multi-floor underground building, executing the following contents: determining configuration data of the floor; associating boundary data with the determined configuration data; calling a two-dimensional hydrodynamic numerical simulation engine based on the determined configuration data, and determining floor submerging process data; judging whether the floor is the last floor of the multi-floor underground building or not; under the condition that the floor is not the last floor of the multi-floor underground building, inflow boundary data of the next floor corresponding to the floor are determined, and the inflow boundary data indicate the change condition of flood flowing into the next floor from the floor along with time. Therefore, the flood routing simulation of the multi-layer underground building is realized.

The invention discloses a solid state disk testing method and system based on a PCIe Switch chip, and relates to the technical field of solid state disk testing, and the method comprises the steps: expanding an uplink PCIe port of a testing host into a plurality of independent downlink PCIe ports through at least one PCIe Switch chip so as to connect a plurality of solid state disks; dynamically configuring a port connection relationship to form a flexibly reconfigurable logical topology; the independent control interface mapped to the target downlink port is operated to independently control the corresponding solid state disk to enter or exit the specified low-power-consumption state; and the connection state change is responded under the condition that the system is not powered off, and identification and configuration of the newly accessed solid state disk are completed. According to the method, single-machine test scale limitation is broken through through hardware extension, flexible scheduling of test resources is realized through dynamic topology reconstruction, single-disk-level accurate power consumption control is realized through an independent interface, and continuity and automation of a test process are guaranteed through hot plug support.

The invention provides an automatic networking method for a train communication network and a storage medium. The method comprises the following steps: a management center reads a networking planning file and constructs a logical topology; based on a link layer discovery protocol, the management center interacts with managed equipment to construct a physical topology; if the physical topology is matched with the logical topology, the management center establishes network configuration protocol connection with the managed equipment; the management center distributes automatic networking configuration data to the managed equipment; and based on a publishing and subscribing mode, the management center performs state monitoring on the managed equipment.

The embodiment of the invention is suitable for the technical field of communication network management, and provides a network configuration data issuing method, electronic equipment and a computer program product, and the method comprises the steps: obtaining business intention information; the service intention information comprises network requirements and scene types; determining logical topology information according to the network requirement and the scene type; generating network configuration data according to the logical topology information and a preset resource pool; and issuing the network configuration data to each target device corresponding to the logical topology information. According to the embodiment of the invention, the convenience of generating and issuing the network configuration data can be improved, so that the automatic configuration efficiency of the network and the operation and maintenance efficiency of the network are improved.

This invention discloses a method and system for defining security boundaries based on switches, relating to the field of data processing technology. The method includes: determining initial regions in the network based on the network's physical and logical topology; determining the influence of nodes based on influencing factors; defining the strategic level of nodes based on enterprise development strategy priorities and the influence of nodes; adjusting the initial regions into multiple strategic regions according to the strategic levels of nodes within the initial regions, setting access rules between these strategic regions, and configuring switch interface information based on the access rules; testing and verifying the access rules between the multiple strategic regions, and adjusting the access rules accordingly; obtaining the effect of the access rules over a period of time, and updating the access rules based on the effect. This improves the precision and accuracy of security boundaries and ensures the complex adaptability of security boundaries to network security.

In response to a detected presence of an intended target appliance within a logical topography of controllable appliances identity information associated with the intended target appliance is used to automatically add to a graphical user interface of a controlling device an icon representative of the intended target appliance and to create at a Universal Control Engine a listing of communication methods for use in controlling corresponding functional operations of the intended target appliance. When the icon is later activated, the controlling device is placed into an operating state appropriate for controlling functional operations of the intended target appliance while the Universal Control Engine uses at least one of the communication methods to transmit at least one command to place the intended target appliance into a predetermined operating state.

The invention relates to the field of guardrail topology generation, and particularly discloses a guardrail topological graph generation system based on guardrail connection identification, which comprises the following steps: firstly, acquiring an original signal flow generated by connection or disconnection operation in real time through a sensor deployed at a guardrail connection port; the signals are then parsed into a structured event list. By analyzing the time sequence of the events, the active connection event of one guardrail is matched with the passive connection event of the other guardrail in an extremely short time window, so that the connection relationship between the guardrails is accurately identified. Once the connection relation is confirmed, nodes representing guardrails and edges representing connection are generated on the basis, and a logic topological graph is formed. And finally, performing visualization processing on the logic diagram to generate a visual layout form image. Therefore, the real-time and remote visual supervision of the guardrail topology is realized, and the construction management efficiency and the safety response speed are effectively improved.

The invention provides a heterogeneous computing cluster deployment method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining cluster parameters of a target heterogeneous computing cluster, and constructing a hierarchical logic topological structure according to the cluster parameters, the hierarchical logic topological structure comprising a core layer, a convergence layer and an edge layer; the edge layer comprises a plurality of sub-clusters, and each sub-cluster is constructed based on a Ramanujan graph; and determining a physical deployment scheme for the target heterogeneous computing cluster according to the hierarchical logic topological structure, and deploying the target heterogeneous computing cluster according to the physical deployment scheme. Therefore, the network performance and deployment feasibility of the large-scale heterogeneous computing cluster can be improved.

The embodiment of the invention provides a set communication method and device, a storage medium and a computer program product. For the condition that the computing system comprises N computing nodes and each computing node comprises M computing units, a logical topology of the computing system is constructed, and the logical topology comprises a first ring topology among the N computing units belonging to different computing nodes and a second ring topology among the M computing units belonging to the same computing node, based on the two different ring topologies, two different transmission paths can be constructed, one of the two different transmission paths preferentially uses the connection of the first ring topology for data transmission, and the other one preferentially uses the connection of the second ring topology for data transmission. According to the method, the number of data channels adopting two different transmission paths is controlled, and data transmission is performed on the data channels by adopting the corresponding transmission paths, so that bandwidth resources in the computing nodes and bandwidth resources between the computing nodes are fully utilized, and maximum utilization of the bandwidth resources is realized.

The application relates to the technical field of underground pipe gallery asset management, and discloses a BIM-driven underground pipe gallery asset dynamic management and emergency decision-making platform, which comprises the following: a dynamic topological mapping module, which realizes dynamic grid density adjustment of a BIM model by monitoring an environmental parameter change rate, and generates a logical topological network in real time, which is synchronous with a physical pipe gallery structure; an asset state reverse derivation unit, which reversely deduces asset deterioration based on environmental data by using a physical law library loaded dynamically in a time domain; a logic rule self-triggering engine, which constructs a multistage response rule chain containing time and space prediction, and optimizes an emergency plan; and an edge-cloud collaborative architecture, which realizes real-time decision-making with low bandwidth dependence through intelligent caching and asynchronous incremental synchronization. When the dynamic topological mapping is driven by the environmental parameter change rate, the real-time state of the underground pipe gallery can be more finely characterized, and a high-reliability data basis is provided for subsequent accurate analysis and decision-making.

The application provides a network topology change prediction method and device combined with big data analysis, relates to the technical field of network topology prediction, and comprises the following steps: pre-building a coupled network topology; deploying a plurality of edge fault prediction nodes locally in a plurality of physical devices in a physical topology layer; when a first-hop prediction fault is output, performing topology cascade propagation analysis to locate X associated fault devices; triggering a cooperative prediction mechanism, performing pre-fault prediction update, and outputting X pre-fault prediction faults; performing accompanying entity mapping and outputting a global logical influence domain; locating network topology change distribution; performing service dependence chain stall mapping and outputting service interruption risk. The application solves the technical problem that the network topology change prediction in the prior art is mainly based on static topology structure, the dynamic coupling between the physical topology layer and the logical topology layer is ignored, the propagation and influence of faults between the two layers cannot be accurately evaluated, and the prediction accuracy of network faults is affected.

The intelligent warehouse information management system based on the Internet of Things belongs to the technical field of Internet of Things information management systems, comprising a signal acquisition module for acquiring the detection signal strength received by each intelligent shelf unit from adjacent units; a first processing module for determining the physical distance between each intelligent shelf unit and adjacent units based on the detection signal strength and a preset logarithmic distance path loss model, and generating a physical neighbor set representing the current physical layout according to a preset distance threshold; and a second processing module for comparing the physical neighbor set with a preset logical topology in the warehouse management system, and calculating a topology inconsistency index according to a binary difference function. The present application significantly improves the accuracy and robustness of topology perception.

This invention discloses an intelligent 3D modeling method for petrochemical engineering that integrates multimodal recognition and deep reinforcement learning, belonging to the field of petrochemical engineering design technology. The method includes: recognizing 2D P&ID drawings through a large visual model, outputting a list of detected objects and constructing an initial candidate diagram; optimizing the engineering logical topology diagram using a graph neural network; converting text specifications into triple rules to generate a 3D spatial constraint field; and training an agent based on deep reinforcement learning to generate the optimal pipeline path and instantiate it into a 3D pipeline model. This invention achieves intelligent processing from design intent parsing to 3D modeling, significantly improving design efficiency, ensuring design compliance and consistency between 2D and 3D data, and is applicable to 3D modeling of complex systems at the entire petrochemical plant level.

The present application relates to the technical field of network security monitoring, in particular to a real-time network security event early warning method based on multi-element data fusion, comprising the following steps: accessing original logs of multi-source heterogeneous security devices, performing field completion and format standardization processing, and outputting unified threat logs. In the present application, a four-layer logical topology including Internet boundary, core device, server boundary and data center is constructed, device weights are allocated to devices at each level, and threat level scores are set; log feature data is counted based on a preset backtracking period, and a multi-dimensional weighted aggregation algorithm is used to calculate the total score of security events; a dynamic early warning threshold is generated using historical threat data, the total score of security events is compared with the dynamic early warning threshold to generate early warning events, and noise reduction processing is performed based on attribute association, effectively solving the problems of device island and alarm flooding under the traditional chimney type architecture, and greatly improving the response efficiency and protection capability of network security risks.

The application provides a critical path monitoring point screening method and system combining path activation rate and similarity, comprising: obtaining timing information of all paths of a target circuit based on static timing analysis, and screening paths with timing margin less than a preset timing margin threshold to form a critical path set; based on a preset benchmark test set, performing signal flip statistics on monitoring points of each path in the critical path set, calculating the activation rate of each path, and filtering out paths with zero activation rate to obtain an effective path set; grouping paths in the effective path set according to the starting points of the paths to obtain a plurality of path groups; for each path group, calculating the similarity between paths based on the logical topology structure sequence of the paths in the group, and clustering the paths according to the similarity, and screening at least one path from each cluster; and collecting paths obtained after screening of all path groups to form a final monitoring point set.

The application provides an AI-based intelligent comparison and analysis method and system for material consistency in distribution network engineering. The method includes collecting multi-source data of materials and constructing a standard knowledge graph of materials in distribution network engineering, obtaining the purchase order, physical image and scene parameters of the material to be tested, sequentially performing basic attribute comparison, scene adaptability comparison and visual consistency comparison, and after installation, performing logical topology consistency comparison. The application correlates multi-source data through a knowledge graph, realizes full-process, automated and intelligent consistency verification from parameters to scenes and from appearance to topology, solves the problems of low efficiency, easy errors and single dimension in traditional manual comparison, and effectively improves the precision and intelligent level of quality control of materials in distribution network engineering.

The application discloses a kind of modular lead-carbon battery monitoring systems, it is related to battery management technical field, the application cooperates with data-control flow by hierarchical distributed architecture, the problem of system rigidification, expansion maintenance difficulty is solved, wherein, battery sampling module is directly bound lead-carbon battery monomer, realizes voltage, temperature acquisition and equalization execution, battery main control module summarizes this cluster data and completes cluster level SOC / SOH estimation, forms first level edge computing node, system general control module as local hub, carries out cross-cluster analysis and advanced diagnosis, each module is connected by standardized communication bus and network, so that battery main control module can linearly increase with battery cluster quantity, so that the physical topology of system and the monomer-cluster logic topology of battery system correspond strictly, data flow converges from bottom to top, control flow is accurately issued from top to bottom, realizes the flexible expansion of monitoring scale and the rapid online maintenance of fault module, overcome the defect that centralized system reconstruction is difficult, maintenance cost is high.

The purpose of the present invention is to manage new information necessary for path design when performing path design of an optical transmission network capable of handling multiple bands even in an environment in which a mixture of a plurality of types of optical fibers are present, and thereby increasing the scale and economic potential of the network.　To this end, disclosed herein is a transmission network management device for managing information necessary for path design when performing path design of a transmission network capable of handling multiple bands, the transmission network management device including: a physical topology information management unit that manages physical topology information used for estimating transmission quality in the path design; and a logical topology information management unit that is used for route design and wavelength design in the path design and manages logical topology information, including cost values indicating that it is easy or difficult to be selected from among a plurality of types of optical fibers of different wavelength bands, during the route design.

A network reachability verification method and apparatus, and a computer storage medium are provided, and pertain to the field of network technologies. The method includes: obtaining a source interface and a destination interface that correspond to a virtual packet in a target network; and verifying reachability of the virtual packet in an overlay network based on a logical topology of a plurality of forwarding instances of a plurality of network devices in the target network, routing information of the plurality of forwarding instances, a source forwarding instance corresponding to the source interface, and a destination forwarding instance corresponding to the destination interface. In this way, single-layer reachability verification on the overlay network in the target network is implemented, and verification accuracy is high.

The invention discloses an Internet of Things routing method based on a graph neural network and reinforcement learning, and relates to the technical field of Internet of Things communication. The method comprises the following steps: firstly, constructing a network logic topology and a state model containing parameters such as bandwidth and time delay; based on the time random walk sequence, using an LSTM auto-encoder to extract node time evolution characteristics, migrating a weight initialization Node2vec model to extract static structure characteristics, and generating space-time fused node representation; then, neighbor message updating features are aggregated through a graph neural network, and global states are spliced to construct reinforcement learning input; and finally, designing a differentiated reward function for different service types sensitive to time delay or throughput, and optimizing next hop selection by using a deep reinforcement learning agent to maximize network utility as a target. According to the method, the topology dynamic change can be accurately sensed, multi-service differentiated scheduling is realized, the network throughput and robustness are remarkably improved, and the transmission delay is reduced.

The invention relates to the technical field of power system relay protection and power distribution network automation, and discloses a power equipment real-time fault positioning method based on edge calculation, which comprises the following steps: constructing an edge calculation logic topological graph, presetting a positive sequence impedance module value, and monitoring a zero sequence current signal in real time. And when the sudden change of energy is detected, the edge node is switched to the dominant node, and the spectrum fingerprint seed frequency is extracted by using the VMD unconstrained variational model and is sent to the adjacent node. And the adjacent nodes forcibly decompose local signals in the same frequency band based on the frequency by using a CC-VMD constraint optimization model to obtain frequency domain aligned characteristic mode components. And each node calculates a normalized permutation entropy and exchanges data, and calculates a unit electrical distance entropy dissipation rate in combination with a positive sequence impedance module value, thereby determining a fault section. According to the method, the problem of feature alignment under asynchronous sampling is solved by using a frequency domain locking mechanism, and the recognition sensitivity and the positioning accuracy of the high-resistance grounding fault are improved through the entropy dissipation rate.

This invention discloses a low-power micro-flow sensing node acquisition and collaborative monitoring method, relating to the field of sensing data acquisition and collaborative monitoring technology. The technical solution involves: acquiring system operation observation information, distinguishing between the effective observation process and the data arrival process of nodes, forming a node sampling visibility interval, and generating sampling coverage results, sampling gap results, control action candidate effective windows, and logical topology effective windows; then performing window constraint deviation screening on the micro-flow sampling sequence to generate anomaly pending segments, physical connectivity candidate windows, and dynamic collaborative edge states; subsequently, performing causal consistency verification based on the dynamic collaborative edge states to generate topology inconsistency markers, causal reversal markers, and anomaly attribution results; finally, forming an unconfirmed window set, generating a low-power acquisition strategy for the next cycle, and outputting the micro-flow collaborative monitoring results, thereby reducing misattribution of anomalies caused by low-power sampling gaps, control action lag, and topology switching inconsistencies.