127 results about "Logical topology" patented technology

The present application relates to the field of information collaborative processing. Provided are a task collaborative scheduling method and apparatus, a device and a medium. The task collaborative scheduling method is applied to a collaborative computing system comprising a plurality of nodes, and the method comprises: first, on the basis of original task description information of a target task, performing splitting and orchestration on the target task to obtain a plurality of sub-tasks and a task logic topological relationship between the sub-tasks; then allocating, on the basis of node information of the nodes, from the collaborative computing system a corresponding execution node for each sub-task, and generating sub-task description information; and finally, issuing the sub-task description information to the execution nodes, such that all the execution nodes can complete all the sub-tasks according to the orchestrated logic topological relationship, thereby obtaining an output result of the target task. The present application can cover diversified task collaborative scheduling scenarios and enables compatibility with access and scheduling of devices having different capabilities, thereby meeting the collaborative processing requirements for diverse service types and scales.

The invention 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, and the platform comprises a dynamic topology mapping module which achieves the dynamic grid density adjustment of a BIM model through monitoring the change rate of environment parameters, and generates a logic topology network synchronized with a physical pipe gallery structure in real time; the asset state reverse derivation unit is used for reversely deducing asset degradation based on environmental data by using a physical rule library dynamically loaded in a time-sharing domain; the logic rule self-triggering engine constructs a multi-level response rule chain containing space-time prediction and optimizes an emergency plan; and the edge-cloud collaborative architecture synchronously realizes real-time decision-making of low bandwidth dependence through intelligent cache and asynchronous increment. When dynamic topological mapping is driven by the change rate of environmental parameters, the real-time state of the underground pipe gallery can be represented more finely, and a high-reliability data basis is provided for subsequent accurate analysis and decision making.

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 provides a network layer multi-path forwarding method, and relates to a sending end, a receiving end and a network node. The method for processing the message by the network node comprises the following steps of: after receiving the message, determining whether the message has a multi-path forwarding requirement; obtaining a group of logic network topologies meeting application requirements, and determining a candidate logic topology set by combining the topology condition of the receiving end or the network node connected with the receiving end; determining a multi-path forwarding strategy according to the transmission intention field of the message header; selecting one topology from the candidate logic network topology set or still using the original topology based on a multi-path forwarding strategy; and when the logic network topology is selected, taking the network address of the receiving end as a transmission destination address, calculating through a routing algorithm to obtain a next forwarding node network address of the message, rewriting the destination address of the head of the message as the next forwarding node network address, and forwarding the data message. The method has the advantages that network resources are fully utilized, and diversified transmission requirements of users can be met.

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 a meridian point knowledge-based false detection and restoration acupoint recovery method, device and equipment, and the method comprises the steps: generating false detection and restoration acupoint coordinates according to the symmetry constraint relation of human meridian points through known meridian points and symmetrical meridian points, and generating false detection and restoration acupoint coordinates according to the logic topology constraint relation of the human meridian points. The X-axis coordinates of the falsely detected and repaired acupuncture points are corrected through the inherent trend and naming sequence of the human body meridians, and the Y-axis coordinates of the falsely detected and repaired acupuncture points are corrected by determining the up-down position relation of the meridians under the human body posture according to the spatial topology constraint relation of the human body meridians and acupuncture points. By fusing multiple constraints of symmetry in distance, angle and direction, missing false detection and restoration of the acupuncture point can be recovered through geometric symmetry, the detection error is effectively reduced, the robustness of acupuncture point detection is improved, a dual verification mechanism of logical topology and spatial topology is combined, and the accuracy of acupuncture point detection is improved. And further, the reasonability of the recovery result is ensured through constraint.

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 discloses a set communication algorithm supporting network topology awareness, which comprises the following steps: a connection relation analysis algorithm: embodying an interconnection relation and a hierarchical relation between nodes through a special two-dimensional matrix to obtain a network topology; a logical topology generation algorithm: after the connection relationship is determined, searching the logical topology based on the connection relationship, searching from inside to outside, and generating an algorithm candidate set; preferentially selecting an overhead model scheme: preferentially selecting an overhead model in the generated algorithm candidate set, and selecting a set communication algorithm with the least time consumption; and executing the scheme. According to the method, for a given physical topology, from an end side link, how links are combined and interconnected is analyzed, a potential implementation algorithm candidate set is searched and constructed, a set of overhead model is proposed, combination of candidate algorithms in multiple sets of candidate sets is traversed, estimated time is calculated, and an optimal scheme is obtained. And the user deploys an optimal scheme and executes set communication.

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.

Provided are a method for automatically generating a logical topology diagram, a device and a medium. The method includes steps described below. Physical world data of a target building is acquired, where the physical world data includes at least complete relationship representation information of spaces, systems and devices in the target building; a target relationship diagram template and a target device template are determined from pre-built candidate relationship diagram templates and pre-built candidate device templates according to the physical world data and a topology diagram generation requirement; and a target logical topology diagram corresponding to the topology diagram generation requirement is generated according to the target relationship diagram template and the target device template based on the complete relationship representation information in the physical world data.

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 invention relates to a false detection meridian recovery method, device and equipment based on spatial topology and position reasoning, and the method comprises the steps: generating a false detection recovery acupoint coordinate through a known meridian acupoint and a symmetrical meridian acupoint according to a symmetry constraint relation of human meridian acupoints, and generating a false detection recovery acupoint coordinate based on a logic topology constraint relation of the human meridian acupoints. The method comprises the following steps: correcting X-axis coordinates of falsely detected and repaired acupuncture points through inherent trend and naming sequence of human meridians and collaterals, correcting Y-axis coordinates of the falsely detected and repaired acupuncture points according to a spatial topology constraint relation of the human meridians and collaterals and acupuncture points by determining an up-down position relation of the meridians and collaterals under a human body posture and through a relative position relation under a specific scene, and correcting the false detected and repaired acupuncture points according to the spatial topology constraint relation. The positions of the acupuncture points are estimated through the movement distance of the bed body, and the false detection of the acupuncture points is discriminated and recovered. According to the method, the repairing coordinates are generated through the features of the acupuncture points and the symmetric points, cooperative correction of the axis coordinates is achieved through the logical topology and the spatial topology of the meridians and collaterals, and discrimination and recovery of long-section false detection are achieved through the position of the target point.

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 present invention discloses a wiring monitoring method and system based on digital twins, which relate to the field of wiring monitoring technology, including: constructing a digital twin model of wiring based on the operation data of the wiring unit; dynamically updating the digital twin model in combination with the real-time operation data of the wiring unit; collecting multimodal data of the wiring unit through a multimodal sensor cluster, aligning the timestamps of the multimodal data, and integrating them into original monitoring data; utilizing multimodal fusion based on deep learning to extract the features of the original monitoring data and generate state parameters; generating a backup path based on a fault report, combining the digital twin model of the wiring and the logical topology structure of the wiring unit; the present invention realizes accurate mapping and real-time synchronization of structure and state by constructing and dynamically updating the digital twin model of the wiring.

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.

An industrial integrated development environment (IDE) allows add-on bus profiles and add-on controller profiles to be defined using an industrial domain-specific language (DSL) script. These add-on profiles can then be added to the IDE's device profile library for use in industrial control projects. This mitigates the need to write new source code to create these profiles and to release an updated version of the IDE software to make these profiles available for use. Industrial DSL scripting can also be used to define a physical and logical topology of an industrial control system within the IDE system as part of the control system project that will be deployed to the control system.

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 provides a Torus network scale expansion method based on an optical switch, a medium and equipment, and belongs to the field of data center networks. According to the method, a k * k Torus structure serves as super nodes, the super nodes are connected through an optical switch, and the method is mainly divided into three parts of task placement, logical topology mapping and flow forwarding. The tasks are classified according to sizes and then placed, and communication requirements between super nodes are guaranteed as much as possible; two principles are provided for logical topology mapping, that is, reconfiguration in an optical switch cannot affect a running task and connectivity between tasks placed in different super nodes needs to be considered during reconfiguration. And when the cluster fragments are more or the load is higher, the nodes cannot directly reach each other, so that the flow forwarding is started. According to the invention, flexible scale expansion of a large-scale Toruss network can be effectively realized, and connectivity and performance requirements of each task are ensured.

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.