77 results about "Link diagram" patented technology

The invention discloses a source code change analysis method, system and equipment. The method comprises the following steps: acquiring a project source code and identifiers corresponding to the project source code in at least two versions; comparing differences of project source codes between different versions based on the identifiers, and determining code change content; filtering the code change content according to a preset filtering rule, and determining a change method name; performing code analysis on a method calling relation in the project source code, and determining a method calling link diagram; identifying the method calling link diagram by referring to a change method name, and determining a change influence link diagram; analyzing according to the entry of the change influence link diagram, and determining the range of the entry and a corresponding calling link; according to the method and the device, case design is performed according to the range of the code change influence entry and the corresponding calling link, and the evaluation of the test coverage is completed, so that the efficiency of test work is improved, the possibility of human errors is reduced, the test result is more accurate and reliable, and the evaluation of the test coverage is realized.

The invention relates to the technical field of big data and the field of financial science and technology, and discloses a data dependency relationship confirmation method, which comprises the following steps of: importing metadata information containing a field name, a data table name and data source information into a data processing module to obtain a target field name, and retrieving a target field in the metadata information by utilizing the data processing module to confirm a data dependency relationship. Determining an upstream data source and a downstream data destination of the target field; generating upstream and downstream data link diagrams of the target field, wherein the upstream and downstream data link diagrams are used for identifying a flow relation of data, a data generator and processing logic; and analyzing a dependency relationship between the target field and the upstream and downstream fields based on the link diagram, and further determining a data table on which the target field depends and owner information of the data table. According to the method, through automatic analysis and link diagram generation, the original complex process needing manual query and processing is simplified, the data dependency relationship is clearer, the communication cost and query time of developers are reduced, and the data use accuracy and processing efficiency are effectively improved.

The invention relates to a smart campus data management method and system. Comprising the following steps: modeling by adopting semantic consistency-oriented data behaviors; abstracting all system data as behavior event units; uniformly converting modeling results into semantic vectors, and writing the semantic vectors into a campus semantic behavior database; establishing an event standardization rule base; constructing a dynamic data flow scheduling engine by adopting a behavior link diagram; constructing a behavior path map according to the behavior event nodes, and extracting a high-frequency behavior link; a graph search algorithm is introduced to calculate a data scheduling path; a polymorphic perception and difference recognition mechanism of heterogeneous behavior states is adopted; capturing the deviation between the actual behavior event and the expected behavior link; constructing a behavior state comparison model, and identifying a potential abnormal state or a strategy failure risk; adopting a self-adaptive optimization and feedback updating mechanism of a strategy evolution graph; introducing a reinforcement learning algorithm, and carrying out strategy scoring and value return calculation on the strategy map; and adjusting and optimizing link parameters and resource scheduling logic, and notifying rhythm.

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 provides a business modeling method, medium and system based on an enterprise data asset management platform, and belongs to the technical field of modeling methods.The business modeling method based on the enterprise data asset management platform comprises the following steps that an enterprise data asset catalog is read to generate a data asset list, the method comprises the steps of extracting a foreign key association relationship between data tables to construct an initial entity relationship table, calculating reference frequencies between the data tables to generate an entity association degree matrix, dividing a service domain by adopting a K-means clustering algorithm, counting data table fields in the service domain to generate a data table field mapping table, recording a data table operation sequence to construct a data table operation link diagram, and establishing a data table operation link diagram. The method comprises the following steps: generating a data table node evaluation matrix, dividing sub-domains and determining a core entity, and constructing and training a multilayer neural network model for constructing business affiliation, data table incidence relation and business interface definition of a new data table, so as to solve the defects in the aspects of data asset relation discovery, business modeling automation, service interface generation and the like in the prior art.

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 code review method and device based on a large model, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, and can overcome the defect of low efficiency of manual code review to a certain extent. According to the code review method based on the large model, code review is carried out based on the large model, and compared with manual review, the code review efficiency and accuracy can be improved by means of the excellent performance of the large model. Meanwhile, a JavaParser tool is used for analyzing the calling structure of the modified function, and a complete link diagram is constructed, so that the calling hierarchical relationship of each modified function in the whole project can be conveniently and clearly displayed, a large model can conveniently examine problematic codes of the process of the current function, and the efficiency of the process of the current function is improved. And therefore, the code review efficiency is further improved.

The invention discloses an APT (Advanced Persistent Threat) attack tracing method based on text learning, which comprises the following steps: (1) collecting system kernel log data, and collecting threat intelligence; (2) data preprocessing: processing system kernel log data and a CTI report into an entity-to-entity text structure; (3) marking: segmenting the preprocessed data into small units by using a marker; (4) pre-training a model, taking the BERT as the pre-training model, and training the BERT by using the segmented data; (5) downstream task training: using a group of marked data to perform fine tuning on the model by using the LSTM model, so that the model can output all suspicious events; and (6) giving system log data for testing, finding attack events by using the model, connecting the attack events in series according to a causal relationship between the events, and constructing an attack link diagram. According to the method, the BERT model is adopted as a pre-training model, semantic and context information in the text data can be better captured, and a subsequent model can understand and represent the text data from a higher level.

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 provides a link tracking method and system, and the system comprises a message service, an early warning service, an analysis service and a plurality of collection assemblies, and also maintains a message queue. And each acquisition component is integrated in a micro-service node of the micro-service system. When any micro-service node is called, a collection component of the micro-service node collects calling information and writes the calling information into a message queue; the message service writes the data in the message queue into a time sequence database and a log database; the early warning service performs fault monitoring on the micro-service system based on the time sequence database, and sends an early warning notification to a specified receiving end when a preset early warning rule is triggered; when the analysis service receives an analysis request of a specified receiving end, generating a calling link diagram of a to-be-analyzed request; the analysis request is generated after the specified receiving end senses that the user clicks the analysis link in the notification. According to the method, the calling link of the request in the micro-service system can be effectively tracked, so that support is provided for monitoring and troubleshooting of the system.

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 embodiment of the invention provides a data quality supervision method, device and equipment for a data submission task. According to the specific implementation scheme, the method comprises the steps of obtaining a target verification result of each core index of a target data submission task reported by a task processing platform; carrying out transaction index positioning on each core index; in response to the obtained at least one transaction index, displaying each determined transaction index on a first interface; determining each specified index corresponding to the transaction index and acquiring a verification result of each specified index; generating a link diagram corresponding to the abnormal index based on an association relationship between the abnormal index and each specified index and a verification result of each specified index; and displaying the link diagram on a second interface to determine the transaction source index of the transaction index. Therefore, according to the scheme, positioning and traceability of the core index with the transaction condition can be realized, so that an implementation basis is provided for quality management of the submission task.

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 provides a method and a device for generating a log node link diagram based on log data. The method comprises the following steps: acquiring the log data in a target log container; determining basic information of a log node corresponding to the log data and a context relationship of the log node according to content corresponding to a specified field in the log data; determining the position of the log node on the corresponding log node link according to the context relationship; generating a log node link diagram according to the basic information of the log nodes and the positions of the log nodes on the log node links, and outputting the log node link diagram; wherein the basic information of the log nodes and the incidence relation between the log nodes are displayed in the log node link diagram. The method can improve the system analysis efficiency and the user experience.

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 embodiment of the invention provides a page interaction method and device, equipment and a storage medium. The method comprises the steps that according to the current interaction service and the current interaction behavior of any user, a corresponding current service execution node is determined from a generated service flow link diagram, and the service flow link diagram is formed by connecting service links of multiple interaction services in series; obtaining declarative attribute data of each associated page component under the current service execution node; and displaying a corresponding interaction response page according to the declarative attribute data. According to the embodiment of the invention, the actual page response condition during the business flow can be flexibly described through the actual data change of the declarative attributes of various page components in the business flow process, so that the user interaction behavior is separated from the page response effect to adapt to the changeable user interaction behavior, the flexibility and accuracy of page interaction are ensured, and the user experience is improved. And the page interaction performance is improved.

A train control system electronic map application data automatic generation method comprises the following steps: constructing a station signal equipment data object link graph and an adjacent data table according to a station signal plane graph; according to station signal equipment adjacency list data, track lines are identified and automatically numbered; and generating electronic map application data according to the station signal equipment data object link graph and the automatic numbering track line. According to the method, the electronic map application data is automatically generated on the basis of constructing the station signal equipment data object link graph and the adjacent data table, so that the application data compiling efficiency is improved, and the integrity and the accuracy of the application data are effectively ensured.

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.