46 results about "Link diagram" patented technology

The invention belongs to the technical field of enterprise risk management, and relates to a multi-dimensional big data analysis risk assessment method and system, and the method comprises the following steps: obtaining enterprise financial data, production operation data and Internet public data; generating an enhanced event stream with dimension marks; an operation early warning identifier is generated when the operation dimension behavior meets a preset continuity condition, and a public opinion early warning identifier is generated when the public opinion dimension behavior meets a preset negative emotion condition; outputting a cross-dimension risk event report when the index exceeds a preset combination threshold value; tracing a historical enhanced event stream according to the cross-dimension risk event report, and constructing a risk evolution link diagram containing a source data event and an early warning event according to a time inverted sequence; and matching a preset response rule base to generate a graphical intervention scheme containing the risk hotspot position and the processing priority. The problem that a static billboard can only display isolated event points and lacks dynamic description of a risk space-time conduction path is solved.

The invention discloses a full-link analysis display method and device based on routing configuration, a medium and equipment. The method comprises the following steps: collecting and extracting equipment routing data; confirming the type of equipment routing data, and executing data cleaning processing according to the type of the equipment routing data; path acquisition is carried out based on the routing configuration information of the target assets, and three groups of network incoming link diagrams are respectively obtained; and sequentially splicing the Internet network inbound link diagram, the internal network inbound link diagram and the cluster network inbound link diagram to generate a hierarchical whole network link topological diagram, and performing front-end link display on the whole network link topological diagram. Visualization of various assets and internet access links in a virtualized network is realized, and in an actual application scene, problems can be quickly found based on the topological graph of the whole network links according to association of the collected equipment routing data and the security events, the influence range is positioned, and the security response efficiency is improved.

The invention provides a power monitoring system safety operation and maintenance service and inspection management optimization method and system, and relates to the field of power system safety operation and maintenance, and the method comprises the steps: collecting equipment operation information to construct a feature vector, generating an operation track, analyzing an abnormal interval, and calculating the equipment state correlation degree to form a fault propagation link diagram; recognizing a fault source node, determining a sweep device, and establishing a routing inspection sequence and path; constructing a security isolation domain and a communication matrix deployment protection strategy; polling is executed, and feature matching is carried out to position potential safety hazards. According to the invention, accurate positioning and prevention of faults of the power monitoring system are realized, and the operation and maintenance efficiency and the system safety are improved.

The invention discloses a power distribution network equipment state intelligent risk assessment early warning method and system, and relates to the technical field of equipment monitoring, and the method comprises the steps: obtaining the real-time monitoring data of power distribution network equipment; analyzing the real-time monitoring data based on a Bayesian network model, calculating the fault probability of each key component of the power distribution network equipment, and generating a fault link diagram according to the function association relationship among the key components; and calculating a system influence index of the power distribution network equipment according to the topological structure of the fault link diagram and the position information of the power distribution network equipment in the power grid, and generating hierarchical early warning information based on the system influence index. According to the method, the accurate calculation of the equipment fault probability, the visual display of the fault propagation path and the scientific grading early warning based on the system influence are realized, and a systematic solution is provided for the preventive maintenance decision of the power distribution network equipment.

The invention discloses a cognitive link diagram modeling and visual expression method, device and system, and belongs to the field of user behavior data modeling visualization, and the method comprises the steps: building a diagram expression and a traceable path of a causal structure based on a user behavior data modeling result; wherein the logic relevance and evolution directivity between entities in the graph are enhanced through a semantic annotation mechanism of nodes and edges of the graph, and the user cognition evolution process in the user behavior data is presented. According to the method, path-traceable graph structure visual expression is supported, and the cognitive evolution process of the user can be presented more finely.

The invention discloses a bird flock oriented repelling path planning method based on a Maklink intelligent airport bird repelling system, and the method comprises the steps: S1, recognizing the surrounding environment of an airport through a radar and photoelectric equipment, carrying out the environment modeling based on a Maklink link diagram theory, and generating a two-dimensional environment model; s2, based on the two-dimensional environment model, planning a repelling path of the airport intelligent bird repelling system by adopting an APF-RRT algorithm, determining path points of bird flock flight, and generating a bird repelling path set; and S3, optimizing the bird repelling path set based on a preset probability function, increasing the probability that the path passes through the safe target area, and generating a guidance repelling path. The guidance bird repelling effect is achieved, it is ensured that the bird flock leaves the airport area according to the expected direction, and therefore the success rate and safety of bird repelling are improved.

The invention relates to an application test method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: obtaining an application service relation graph and test range indication information under the condition that an application test instruction is received; determining a plurality of to-be-tested services and service link diagrams based on the application service relation diagram; performing link weight analysis on each to-be-tested sub-link based on the edge weight information or the node weight information in each to-be-tested sub-link to obtain sub-link weight information; based on the sub-link weight information and the service link diagram, performing a flow distribution test on the plurality of to-be-tested sub-links to obtain a link calling test result; obtaining service test codes corresponding to a plurality of to-be-tested services; based on the service test code, performing a service execution test on each service to be tested in the plurality of services to be tested to obtain a service execution test result; and generating an application test result based on the link call test result and the service execution test result.

The invention discloses a matrix switch test method, equipment, a medium and a product, and relates to the technical field of circuit assembly testing, and the key points of the technical scheme are as follows: extracting primitives contained in a to-be-tested matrix switch, drawing a link diagram of the to-be-tested matrix switch according to the primitives, and configuring program control information for each primitive in the link diagram; generating at least one signal transmission link according to the connection relationship among the primitives in the link diagram, and generating a control instruction according to the program control information configured by each primitive in each signal transmission link; wherein the control instruction comprises a fixed start bit, a control panel type number, an interface number, a state field and a checksum; and establishing synchronization between the to-be-tested matrix switch and the vector network analyzer according to a preset communication protocol, issuing a control instruction to a signal transmission link of the to-be-tested matrix switch according to a pre-configured test parameter to execute a test, and outputting a test result by the vector network analyzer.

The present invention discloses a method for constructing a gene information query system. The method comprises: obtaining initial data information of an original gene information query system; classifying alleles in the initial data information, and providing a specific description of the biological significance of different types of alleles and the different biological effects produced by different allele combinations; drawing an anatomical diagram of a target object and annotating corresponding body parts of the target object in the anatomical diagram to obtain complete data information of the target object; determining the data structure of a relational database based on the complete data information of the target object; constructing a target gene information query system based on the data structure; and outputting a node link diagram, a table structure, and a highlight image of the relevant parts of the target object corresponding to an operation instruction on a web terminal according to the target gene information query system in response to an operation instruction. The present invention reduces computational complexity, improves accuracy, and can be widely applied in the field of computer technology.

The invention provides an AI-driven industrial production line intelligent quality detection method, which comprises the steps of obtaining an initial parameter and a detection level identifier of a product quality detection request from an industrial production environment, judging whether the initial parameter accords with a preset quality threshold range or not, and obtaining an initial detection result and a corresponding timestamp mark; constructing a product quality tracing link diagram according to the position of the interruption point and the misjudgment and missing detection information, performing priority ranking on nodes of the link diagram by adopting a classification algorithm, and determining a defect source in a production link; and integrating a detection result record and a timestamp mark from the improved detection efficiency index, constructing a product quality detection link traceability system, judging the integrity of the traceability system, and obtaining final quality guarantee output.

The embodiment of the invention provides a code change influence evaluation method, device and system and a medium, and the method comprises the steps: carrying out call link analysis on a target project to obtain at least one function call relationship, and generating a project call link diagram through the at least one function call relationship; performing code change analysis on the target item, and determining at least one function subjected to code change; and for each function subjected to code change, retrieving at least one call link where the function subjected to code change is located in the project call link diagram as a corresponding influenced call link, and generating an analysis report according to all the influenced call links.

The invention discloses a data processing method, device and equipment, and relates to the technical field of computers, and the method comprises the steps: obtaining oscillogram data which is used for representing the change condition of electrical parameters of a vehicle-mounted electric appliance; obtaining electrical characteristic data of the oscillogram data, wherein the electrical characteristic data is used for representing change characteristics of electrical parameters in the oscillogram data; linking processing is carried out on the oscillogram data, a graph viewing link corresponding to the oscillogram data is obtained, and the graph viewing link is used for guiding and displaying an oscillogram corresponding to the oscillogram data; generating a data table based on the electrical characteristic data and the graph viewing link, wherein the data table comprises a corresponding relation between the electrical characteristic data and the graph viewing link; and in response to a received folder generation operation, screening the data table based on a preset classification requirement to generate at least one oscillogram folder, the oscillogram folder comprising at least one oscillogram. The processing and maintenance efficiency of the oscillogram data can be improved.

A system can efficiently determine whether an identity is manipulated. The system can receive entity data and interaction data associated with a target entity. The system can determine, based on the entity data and the interaction data, one or more risk signals associated with the target entity using one or more artificial intelligence models. The system can generate a linked graph structure based on a first graph structure and a second graph structure each generated using the entity data and the interaction data. The system can apply the one or more risk signals to the linked graph structure to determine a risk indicator associated with the target entity. The system can provide a responsive message based on the risk indicator. The responsive message can be used to control access of the target entity to an interactive computing environment.

The application provides a masterbatch production process record method and system applied to quality tracing, relates to the computer technology field, and first acquires an initial process event record set of multiple production process nodes of a masterbatch production line, generates a production process event flow data set through production process event flow reconstruction processing; then calls a production material batch tracking model to analyze a material flow path, and constructs a material batch flow link diagram; then binds production equipment operation state records to the flow nodes, and generates equipment operation state parameter sequences; finally, generates a masterbatch production process tracing record set according to the material batch flow link diagram and the equipment operation state parameter sequences, and stores the masterbatch production process tracing record set to a tracing database, so that the masterbatch production process tracing record set can be called for subsequent quality tracing query, and efficient and accurate quality tracing is realized.

The invention discloses a property facility intelligent operation and maintenance management system and method based on deep learning, and belongs to the technical field of property facility operation and maintenance management.The method comprises the steps that firstly, through analysis of operation data of property facilities, the facilities with fault risks are recognized and defined as potential fault points; generating a fault influence link diagram based on the physical connection path and the function association between the facilities; according to the link diagram, positioning all affected associated facilities as troubleshooting points, and according to a conduction sequence, facility grades and influence ranges, performing priority grading and parameter matching; then, integrating the fault point and all troubleshooting points into a task group, matching maintenance and detection personnel according to a link diagram, and planning a continuous detection path; and finally, the fault features, the influence links, the grading strategy and the execution scheme in the processing process are packaged into operation and maintenance scene templates, and intelligent multiplexing and continuous improvement of the operation and maintenance strategy are realized by comparing the feature similarity of historical templates.

The embodiment of the invention provides an autism auxiliary diagnosis method. The autism auxiliary diagnosis method comprises the following steps: constructing an individual brain function connection diagram; based on a community detection algorithm of a graph theory, performing functional region division on the individual brain function link graph to generate an individual brain map; taking the surface area percentage of the functional network of the healthy control group in the cerebral cortex as a response variable, taking the individual age as a smooth nonlinear independent variable, introducing an average head movement parameter as a linear covariable, and constructing a normal population development reference model; and comparing the surface area percentage of the functional network of the individual brain map with the normal population development reference model of the same age, and quantifying the deviation degree to realize auxiliary diagnosis of the autism. According to the autism auxiliary diagnosis method provided by the embodiment of the invention, individualized autism auxiliary diagnosis considering individual differences can be realized. The embodiment of the invention further provides an autism auxiliary diagnosis device and electronic equipment.

The present application discloses a multi-scale link prediction method and system based on a hierarchical link pattern. The method includes: constructing K k-order link graphs based on the visible graph of the actual target network; obtaining vector representations of nodes at different scales according to the k-order link graphs, and obtaining the final representation of each node by splicing these vectors; constructing a binary classification training set; and establishing a binary classification model for multi-scale link prediction. The system includes: a link graph module for constructing K k-order link graphs based on the visible graph of the actual target network; a node representation module for obtaining vector representations and final representations of nodes on link graphs at different scales; a classification module for constructing a binary classification training set; and a prediction module for establishing a binary classification model for multi-scale link prediction. The present application can effectively capture high-order links of the network, better solve the problem of the network being too sparse; overcome the bias of artificially defined edge embedding binary operators; and improve prediction performance.

The application discloses an operation and maintenance data processing method and device and electronic equipment. The method comprises the following steps: obtaining operation and maintenance data of a target data source, wherein the operation and maintenance data comprises object information, relationship information and running data of an operation and maintenance object; constructing an operation and maintenance object relationship network based on the object information and the relationship information of the operation and maintenance object, wherein the operation and maintenance object relationship network is used for displaying multiple operation and maintenance relationships of the operation and maintenance object; creating a visual view based on the operation and maintenance object relationship network to display the object information, the relationship information and the running data of the operation and maintenance object under different performance dimensions, wherein the visual view is used for displaying a physical deployment diagram and a key link diagram of the operation and maintenance object. The application solves the technical problem that the operation and maintenance object, the operation and maintenance relationship and the running data of the operation and maintenance object cannot be uniformly integrated, so that the running state of the operation and maintenance object cannot be clearly and conveniently displayed.

The present disclosure relates to a user interaction device and method for searching and organizing vast papers with a node-link diagram. The device is configured to display at least one first node respectively representing at least one first paper, display a second node representing a desired paper generated by a user and at least one link respectively representing a citation relationship between the at least one first paper and the desired paper between the at least one first node and the second node, search for at least one second paper corresponding to the citation relationship as the desired paper, and collect the at least one second paper in the second node.

The application discloses a machine reading comprehension event extraction method and device based on template bridging, and medium, the method steps comprise: step S01. Input text and trigger word question template are obtained and combined to form an input instance with a trigger word question prompt template; step S02. Syntax analysis is performed on the input instance to form an adjacency graph, the input text and the trigger word question prompt template are connected according to the adjacency graph to obtain a link graph, and global features are extracted according to the link graph; the global features and semantic features are fused to identify the trigger word and the trigger word type; step S03. A argument question prompt template is generated, the prompt template is combined with the input text to form an input instance with a question prompt template; step S04. Argument extraction is performed to obtain argument and argument type output. The application has the advantages of simple implementation method, high event extraction efficiency and precision, good portability and the like.

The invention discloses a service call chain generation method and device, a server and a computer readable storage medium. According to the method, the service log of each machine is collected, the upstream and downstream dependency relationship of the server is identified according to the service log, the server link diagram is generated, and the server link diagram is generated based on the online real-time log, so that the service operation state is truly reflected, the accuracy can be remarkably improved, and the automatic identification dependency replaces manual analysis in the traditional method, so that the efficiency is improved. According to the method, the implementation cost can be remarkably reduced, the server link is converted into the service link through mapping from the server to the service module, and the service link diagram is generated, the mapping relation can be adjusted through the dynamic service log and the service basic information, so that the accuracy of the link diagram is ensured, manual carding is not needed, and the implementation efficiency is improved. And a more efficient and accurate solution is provided for intelligent operation and maintenance.

Embodiments of the present disclosure relate to a workflow creation method and apparatus, a device, and a storage medium. The method proposed herein comprises: in response to a received editing operation, adding a first node to a node-link diagram; acquiring configuration information associated with a first node, wherein the configuration information at least indicates a group of nodes corresponding to a cyclic process; and creating a target workflow on the basis of the node-link diagram, such that during running of the target workflow, in response to the first node being triggered, a processing process corresponding to said group of nodes is cyclically executed. In this way, the embodiments of the present disclosure can support definition of a cyclic process in a workflow, so as to support one or more nodes being triggered for cyclic execution.

1. The name of the present design product: display area of smart conversation or search graphical user interface of electronic device. 2. The use of the present design product: an electronic device. 3. The design points of the present design product: the partial graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. The designated design 6 is the basic design. 6. The use of the graphical user interface: the graphical user interface is used for smart conversation or search. The partial graphical user interface that is claimed is used to display the question input by the user and the thinking process for the question. 7. The human-computer interaction mode of the graphical user interface: in design 1, design 2 and design 4, the graphical user interface can display the question input by the user and the thinking process for the question, and the user can stop the thinking of the question by touching or clicking the stop button at the bottom of the graphical user interface. In design 3, the user can continue the thinking process for the user's question by touching or clicking the "continue to generate" button in the graphical user interface. In response to the user touching or clicking the "supplement files or links" area in the design 5 front view and uploading files and links, the graphical user interface changes from the design 5 front view to the design 5 changed state view to display the supplemented files and links. In response to the completion of the reference information search for the user's question, the graphical user interface changes from the design 6 front view to the design 6 changed state view to display the outline generation process. In response to the completion of the reference information search for the user's question, the graphicaluser interface changes from the design 7 front view to the design 7 changed state view to display the outline generation process. In response to the user touching or clicking the "supplement files or links" area in design 8 front view and uploading files and links, the graphical user interface changes from design 8 front view to design 8 changed state view 1 to display the supplemented files and links; in response to the user touching or clicking the "continue to generate" button in design 8 changed state view 1, the graphical user interface changes from design 8 changed state view 1 to design 8 changed state view 2 to continue the thinking process for the user's question. 8. Other circumstances that need to be explained Other explanations: the part of the graphical user interface shown by the black dashed line in each view of design 1 to design 8 does not constitute the part claimed in the present design. The present design does not claim protection of color.

Provided in the present disclosure are a method, an apparatus, a device, and a storage medium for configuring a power distribution link diagram. A first user operation performed by a user on a power distribution device list in a first interface is received, a presentation model corresponding to an object selected by the first user operation is generated in response to the first user operation, and the presentation model is displayed in a configuration area of the first interface. The power distribution link between presentation models is generated and displayed on reception of and in response to a second user operation. The configuration panel for a target presentation model and / or a target power distribution link is generated, on reception of and in response to a third user operation on the target presentation model and / or the target power distribution link.

The invention relates to a method for realizing combined scheduling and arrangement for automobile SOA service. The method comprises the following steps: receiving JSON format data from a data source; analyzing the data of the data source, and analyzing a dependency relationship through node information; generating an execution link diagram according to the node information and the task dependency relationship; converting the execution link graph into a directed acyclic graph (DAG); performing task scheduling on the DAG; and executing the scheduled task through the vehicle end service orchestration engine. By the adoption of the method and device for achieving combined scheduling and arrangement for the automobile SOA service, the processor and the computer readable storage medium of the processor, a plurality of modules such as an automobile central control screen function module, an automatic driving module, an intelligent cabin module and a power system module can communicate through an SOA framework, and the system can be managed through a unified management strategy. The effects of cooperative work, dynamic scheduling, optimal configuration and the like of various functional modules are achieved, and the overall performance of the system and the user experience are improved.

The invention relates to a model-enabled supply chain risk early warning method and system, and the method comprises the following steps: detecting whether an abnormal order block exists in collected supply chain data or not, and carrying out the restoration of a supply chain path according to the abnormal order block if the abnormal order block exists, and obtaining a risk link diagram; inputting the risk link diagram into a preset time sequence diagram neural network model for risk conduction analysis to obtain risk probability distribution and a prediction influence range; and generating a risk early warning report based on the risk probability distribution and the prediction influence range, and pushing the risk early warning report to a related decision maker to support risk prevention and control and emergency response. And the risk early warning often lags behind the actual risk occurrence process.

The invention discloses a data consanguinity extraction and completion method and system of a development script, equipment and a medium, the method generates a data consanguinity link diagram of the development script based on a natural language model, and also generates natural language description of a consanguinity link, so that accurate identification and analysis of a service intention of the development script are realized, and the development script is more accurate in data consanguinity extraction and completion. And the field-level blood relationship is extracted in detail. Besides, implicit field-level dependencies which are not clearly written in codes but actually exist can be intelligently complemented by means of strong semantic thrust and association capability of the large language model, so that the recognition rate and complementation accuracy of the implicit dependency relationship are remarkably improved, and the continuity and credibility of full-link blood relationship are ensured. Moreover, low-consensus-degree blood relationship links are removed based on multiple rounds of verification, so that stable convergence and credible screening of the blood relationship links are realized, and the stability, robustness and audit traceability of the final data blood relationship are greatly improved.

The invention discloses a knowledge link diagram construction method and device, a terminal and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining fusion confidence scores corresponding to any two types of entities in various types of entities of original data; and based on the various entities and the fusion confidence score, constructing a target knowledge link diagram, nodes in the target knowledge link diagram being in one-to-one correspondence with the various entities, and weights of edges in the target knowledge link diagram being determined according to the fusion confidence score. According to the method, the knowledge link diagram is constructed, the method can adapt to the dynamically-changing data relation, many-to-many transitive complex association between entities can be efficiently stored and inquired, the bottleneck of a traditional relational database is overcome, and then entity information of different sources and different modes is more accurately recognized and associated.

The embodiment of the present application provides a method, device, electronic device and storage medium for visualizing a program execution scheme, which belongs to the fields of data analysis and processing and financial technology. The method includes: analyzing a data query statement to obtain the node type of the target computing node, the directed relationship between nodes, and the data location information; finding the target data table from the metadata database according to the data location information and sampling it to obtain the node data volume and node data sample of the target computing node; connecting the target computing nodes according to the directed relationship between nodes to obtain an initial link graph; merging the node type, node data volume, and node data sample and loading them into the initial connection graph to obtain a visual flowchart of the target execution scheme. The embodiment of the present application improves the visibility of the execution plan by converting the Hive execution plan and computing node information into a flowchart, making it easy to quickly understand the processing status of each node in the query process, thereby optimizing the query code.

A system for setting a tire sensor communication protocol, comprising: an electronic device and a handheld mobile device. The electronic device, connected to a first database, displays a link diagram upon entering vehicle data. The handheld device, linked to a second database, retrieves a communication protocol from either the first or second database after scanning the link diagram. The communication protocol used for programming a corresponding tire sensor. This facilitates the selection of the appropriate communication protocol for different vehicle models without needing to input vehicle data on the handheld device, overcoming the challenges of small screen and input errors.