39 results about "Configuration graph" patented technology

The invention discloses a format conversion method, system and equipment based on industrial configuration graph element recognition and a medium, and relates to the technical field of configuration format conversion in the industrial field, and the method comprises the following steps: analyzing a multi-source heterogeneous configuration graph file, extracting configuration graph element information, generating a drawing instruction, and constructing a configuration graph conversion automatic process; constructing a configuration graph instance based on a configuration graph specification conforming to target management, performing dynamic initialization and attribute configuration on configuration graph elements by adopting a drawing instruction, and constructing a logic framework and a semantic structure of the configuration graph; traversing the drawing instruction, converting and drawing configuration graph elements based on the configuration graph instance, and constructing a configuration graph file conforming to target management; automation of configuration graph conversion is achieved, manual intervention is not needed, and the working efficiency is improved; various manufacturer configuration graph formats and various target management system configuration graph formats can be supported, and the method has wide applicability; dynamic interaction of elements of the configuration graph is realized, and functionality and practicability of the configuration graph are enhanced.

The invention relates to a territorial space purpose control data processing method based on a space-time knowledge graph. The method comprises the steps that map entities and semantic relations between the map entities are configured in a mode layer, and the categories of the map entities comprise space-time entities used for representing space-time slice states and event entities used for representing human activities generating actual or potential influences on land states; establishing a grid system comprising a plurality of grids based on Geohash coding, associating administrative division and multi-source heterogeneous data with the grid system respectively, and constructing a grid layer; extracting territorial space purpose control data, carrying out entity and entity relationship initialization according to the mode layer and the grid layer, and constructing a graph layer; and establishing an application layer based on the map layer and the grid layer. Compared with the prior art, the method can support reasoning and prediction of geographic phenomena, introduces multi-dimensional information features, and effectively supports business application.

The invention provides an AI-based low-code aid decision-making method and system, and the method comprises the steps: collecting an event stream of a user on a low-code platform, and constructing an event vector sequence and a behavior component mapping table; obtaining a low-code configuration graph to construct a behavior-structure fusion graph, generating a component complexity score table and determining a high-complexity component set; according to the component complexity score table and the high-complexity component set, constructing a local cause-effect sub-graph and generating a path semantic nested matrix, generating a high-risk cause-effect path set and endowing a path level risk score, and generating a sub-graph edge score matrix; determining an optimized suggested draft set and a suggested positioning node set by taking the consistency loss in the minimized path as a target function; and mapping the optimized suggested draft set and the suggested positioning node set to the low-code configuration graph for visual labeling, automatically executing configuration modification after structural constraint verification, and recording a change log to support rollback and version tracing.

The invention provides a nuclear power logic configuration automatic conversion method and system, and relates to the field of nuclear power stations, and the method comprises the steps: constructing a logic diagram module and a configuration diagram module; obtaining and traversing a to-be-converted logic diagram and page information thereof to obtain corresponding logic diagram module information; identifying and decomposing the corresponding logic diagram module information to obtain decomposed logic diagram module elements; constructing a module mapping rule, and forming a mapping relationship between the logic diagram module and the configuration diagram module based on the decomposed logic diagram module elements; constructing a parameter mapping table according to the formed mapping relation, and writing the parameter mapping table into an xml configuration file to realize automatic connection between the logic diagram module and the configuration diagram module to obtain a converted logic configuration legend; and converting the converted logical configuration legend into a logical configuration graph based on an automatic sorting rule. According to the method, the information, needing to be embodied in the configuration, of the logic diagram can be quickly and completely converted, the conversion accuracy is improved, intermediate link iteration is reduced, and engineering efficiency is greatly improved.

A method of formulating a desired network configuration graph database representative of a network can include receiving network information regarding multiple devices; generating an existing network configuration graph database representative of the multiple devices; and determining whether each interface description for each device correctly describes the device by comparing each interface description to an actual state of the device. The method can include, in response to the interface description being inaccurate, generating an entry in an interface description database that includes identification information of the device, the incorrect interface description for the device, and a correct interface description for the device for each incorrect interface description; formulating the desired network configuration graph database representative of the multiple devices; providing the desired network configuration graph database and a first prompt to a large language model; and determining an output regarding the network and dependent upon the desired network configuration graph database.

The invention discloses an adaptive attribute configuration field equipment topology generation method, equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: executing field equipment attribute data acquisition, and establishing an attribute data set; obtaining node self-defined configuration; reading the selected nodes, calling the intelligent analysis network to carry out association analysis based on the attribute data set, establishing association nodes and carrying out dynamic sorting; creating a basic topological graph by using the selected nodes, the associated nodes and the sorting result; obtaining screen data, and performing layout optimization to generate a result; and utilizing a layout optimization result and node custom configuration graph presentation, and dynamically calculating node associated information. The technical problems that in the prior art, topological graph generation is tedious, and the dynamic display data association capacity is insufficient are solved, and the technical effects of improving topology generation efficiency and enhancing the dynamic data display capacity are achieved through self-defined node attribute configuration, association analysis of an intelligent analysis network and dynamic layout optimization.

The application provides an AI-based low-code assisted decision-making method and system, which comprises the following steps: collecting the event flow of a user on a low-code platform, constructing an event vector sequence and a behavior component mapping table; obtaining a low-code configuration graph to construct a behavior-structure fusion graph, generate a component complexity score table and determine a high complexity component set; according to the component complexity score table and the high complexity component set, construct a local causal subgraph, generate a path semantic nested matrix, generate a high-risk causal path set and give a path-level risk score, and generate a subgraph edge score matrix; taking the minimization of the consistency loss inside the path as the objective function, determining an optimization suggestion draft set and a suggestion positioning node set; mapping the optimization suggestion draft set and the suggestion positioning node set to the low-code configuration graph for visual labeling, automatically executing configuration modification after structure constraint verification, and recording change logs to support rollback and version tracing.

A method of formulating a desired network configuration graph database representative of a network can include receiving network information regarding multiple devices; generating an existing network configuration graph database representative of the multiple devices; and determining whether each interface description for each device correctly describes the device by comparing each interface description to an actual state of the device. The method can include, in response to the interface description being inaccurate, generating an entry in an interface description database that includes identification information of the device, the incorrect interface description for the device, and a correct interface description for the device for each incorrect interface description; formulating the desired network configuration graph database representative of the multiple devices; providing the desired network configuration graph database and a first prompt to a large language model; and determining an output regarding the network and dependent upon the desired network configuration graph database.

To provide a system capable of facilitating and streamlining automatic creation of a network configuration diagram by combining generative AI and a diagram creation tool.SOLUTION: Provided is an automatic creation system for a network configuration diagram, which is a combination of generative AI and a diagram creation tool, the system including means for generating code based on UML by the generative AI and for creating the network configuration diagram by the diagram creation tool through inputting the generated code.SELECTED DRAWING: Figure 1

The invention provides a synchronous construction method, device and equipment for a two-dimensional configuration graph and a digital twin model, and the method comprises the steps: receiving a plurality of field equipment images transmitted by target equipment, the plurality of field equipment images being obtained through the collection of a plurality of types of field equipment by the target equipment; for each field device image, determining first device related information corresponding to the field device image according to matching information between the field device image and a variable information base; receiving confirmation information sent by the target equipment; correcting first equipment related information corresponding to at least one piece of confirmation information corresponding to the indication abnormity, and generating at least one piece of second equipment related information; and synchronously constructing a two-dimensional configuration graph and a digital twinborn model of the rail transit area according to the at least one piece of second equipment related information and the first equipment related information corresponding to the at least one piece of confirmation information corresponding to indication normality. Configuration efficiency and model accuracy are improved, and data support is provided for subsequent old project reconstruction.

1. The name of the present design product: experimental template configuration graphical user interface of electronic equipment. 2. The use of the present design product: an electronic device. 3. The design points of the present design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for configuring experimental step information and experimental template flow. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is an experimental step template interface, clicking "+" add new" in the upper left of the interface enters design 1 change state diagram 1, the experimental step template addition interface, the basic information of the experimental step template can be filled in, template classification and permission setting operation can be performed in the interface, after the related operation is completed, click "confirm" at the bottom to enter design 1 change state diagram 2, the experimental step template configuration interface, clicking "+" add component" on the right side of the interface can select the required components corresponding to the experimental step, after the component configuration is completed, data recording and simple mode preset operation can be performed in the middle module of the interface, clicking "experimental step details" in the upper right of design 1 change state diagram 2 enters design 1 change state diagram 3, the experimental step details interface, the basic information of the experimental step template can be modified, template classification and permission setting. Design 2 front view is an experimental template list interface, clicking "+" add new" in the upper left of the interface enters design 2 change state diagram 1, the new template interface, the template name can be filled in, the business scope can be selected, and the permission setting operation can be performed, after the related operation is completed, click "confirm" at the bottom to enter design 2 change state diagram 2, the experimental step template flow configuration interface, the left area of the interface is the experimental step template library, which can query and select the required experimental step template corresponding to the experimental template, the right side of the experimental step template library is the experimental flow drawing area, in which area the hierarchical order of experimental steps can be controlled by drag and drop operation, clicking any experimental step of the experimental flow drawing area can enter the experimental step editing interface on the right side of design 2 change state diagram 2 for component editing operation. 8. Other circumstances that need to be explained: the yellow covered area in each view is the content picture, and the appearance design to be protected does not include color.

The application discloses a kind of graph data query statement determination method, device, equipment and medium, it is related to computer technical field, including: obtaining graph data query information, and determine whether the graph data query information is legal;If the graph data query information is legal, then based on the graph data query information from local preset graph data query statement library filtering out graph data query statement;Obtain statement query configuration information, and based on the statement query configuration information from the graph data query statement determines out to be configured graph data query statement, and according to the statement query configuration information to the to be configured graph data query statement is configured, to obtain target graph data query statement.Through the above technical scheme of the application, the efficiency of graph data query statement determination can be improved, the diversity of business requirements is increased, and the security of graph data query statement is improved.

The application discloses a communication product configuration method based on multi-modal analysis and vector matching, and particularly relates to the technical field of intelligent configuration of communication products, and is used for solving the problem that the efficiency of manually reading documents and manually selecting and configuring is low, errors are easy to occur, and it is difficult to trace back when the customer demand is proposed in the form of multi-source and multi-format documents, the field caliber is complex, and the rule constraints are numerous in the group and government and enterprise customer scenarios of operators. By taking the field dictionary and structured constraints as the basis, the multi-source and multi-format communication product demand document is sequentially converted into demand parameters, demand configuration graphs and multi-channel feature vectors, and vector matching of rule perception such as field mandatory, mutual exclusion of rights and interests, region, contract period and cost is performed on the hierarchical near neighbor graph index in combination with the template graph, so that the communication product configuration scheme meeting the business constraints is automatically output under the unified caliber, the workload of manually reading documents and selecting by experience is significantly reduced, and the accuracy and consistency of the configuration result in the complex scenario are improved.

The invention discloses an scada configuration system and device based on a Web browser. The scada configuration system comprises a component library system, a configuration system, a database system and a real-time communication system. The component library system comprises a standard component library and a user-defined component library, and the configuration system comprises configuration drawing, data binding and a configuration graph; the database system comprises a relational database and a time sequence database, the real-time communication system comprises data distribution and configuration connection management, when a user opens a configuration graph through a browser, configuration data are acquired from the database system and rendered in the browser, the configuration graph establishes websocket connection with the real-time communication system through the browser, and the real-time communication system performs data distribution and configuration connection management. And the real-time communication system distributes the collected data and the alarm data according to the configuration and the associated data of the equipment, and pushes the collected data and the alarm data to a bound configuration graph for display. According to the invention, flexible user-defined components are supported, conventional Internet of Things sensing equipment is satisfied, and video security and protection equipment and the like are well supported at the same time.

The invention discloses a visual configuration method based on artificial intelligence, and the method comprises the following steps: S10, constructing a response type Web interface which is used for a user to access a system on a device supporting a browser; s20, designing an intelligent input box, and integrating an automatic completion function; s30, providing a RESTful API (Application Program Interface) to support a user to upload a data file; s40, performing natural language understanding by using a BERT model, and extracting a user intention according to a data file input by the user or uploaded by the user; segmenting a sentence input by a user through a pre-trained word vector by the BERT model, identifying a keyword and a semantic relationship thereof, and generating a corresponding feature vector; s50, analyzing attributes of the data set by using a decision tree algorithm according to the generated corresponding feature vectors, and recommending a chart type suitable for current data characteristics; s60, according to the chart type recommended by the decision tree algorithm, the system automatically configures basic parameters of the chart; dynamically generating a chart by using a JavaScript library comprising D3. Js, and embedding the chart into a Web interface for display; and exporting the generated chart.

This invention discloses an intelligent testing method for FPGA interconnect resources at the billion-gate level, belonging to the field of FPGA testing. The method involves identifying the module under test (DUT) of the internal interconnect resources of the FPGA; extracting its physical connection point information from the XDLRC resource file of the DUT; modeling and parameterizing the physical connection points, presenting the results in a graph dictionary; searching for the optimal routing path based on the graph dictionary, generating a configuration graph, and performing ATE testing to determine if the tested path has any faults. This invention extracts the FPGA's XDLRC resource file, analyzes the structural characteristics of the interconnects, and optimizes the modeling process based on the determinacy of the interconnect metal lines' positions, transforming the interconnect metal lines into points in a mathematical graph model. Compared to the previous modeling optimization, the modeling space is compressed by nearly 50%, and the routing search time is also reduced accordingly. An improved depth-first search algorithm is used, enabling the search function to be implemented with concise code, and parameterized information is added to the search dictionary object.

The invention discloses a chart component generation method and system, electronic equipment and a storage medium, and the method comprises the steps: creating a configuration file of a view layer, the configuration file comprising a style configuration item and a data docking field mapping configuration item; rendering the view layer to obtain a rendered file; obtaining a list file based on the configuration file and the rendering file; selecting the hierarchy and the dimension to which the chart component belongs, and configuring a graphical data query statement; querying based on the data query statement to obtain a business data type; and based on the business data type, selecting a corresponding chart from the list file to display. Complex server database query statements are abstracted into graphic blocks, corresponding function codes are packaged in the graphic blocks, and a user can quickly record basic data query statements only by simply dragging the graphic blocks. Due to the fact that the complex code logic is hidden in the graph block, even if the user does not have related knowledge of computer languages, the user can quickly master after being trained for several hours.

The invention provides an execution mode self-adaptive selection method and a data integration method. The execution mode self-adaptive selection method comprises the steps that a heterogeneous data source is obtained, metadata in the heterogeneous data source is collected, an asset pool is formed, data volume statistical values of all assets in the asset pool are obtained, and the assets comprise asset data and storage positions of the asset data; determining assets serving as an extraction target and a loading target from an asset pool by a preset data integration task, configuring a corresponding extraction operator, a conversion operator and a loading operator based on integration task logic, configuring the extraction target and the loading target to the extraction operator and the loading operator respectively, determining a connection relationship among the operators, and generating a task configuration graph; analyzing the task configuration graph to obtain assets configured in the extraction operator, and reading a data volume statistical value and a storage position of the assets to obtain a data locality metric value; and generating an execution mode parameter according to the data volume statistical value and the data locality metric value, and matching an execution mode for the preset data integration task.

The invention relates to the technical field of artificial intelligence, in particular to an AI agent joint optimization method and system based on adaptive circulation, intermediate verification and multi-dimensional feedback, and the method comprises the following steps: initializing agents and optimization parameters, including calculation graph and configuration initialization, target and constraint setting, and rule and feedback definition; multi-stage self-adaptive circulation is carried out, and a configuration optimization stage, a first intermediate verification and decision stage, a graph structure optimization stage and a second intermediate verification and circulation adjustment stage are circularly executed until an optimization target is met or the maximum number of circulation times is reached; the method has the beneficial effects that the optimization efficiency is greatly improved: an intermediate verification mechanism can timely terminate invalid iteration and match a configuration / graph structure hot start strategy, so that the dependence on a large number of test samples is greatly reduced, the sample utilization efficiency is remarkably improved, meanwhile, the optimization period of an intelligent agent system can be shortened, the token consumption scale of the test samples is reduced, and the optimization efficiency is improved. And unnecessary computing resource waste is reduced.

In some aspects, the techniques described herein relate to a method including: providing a graph neural network; and configuring the graph neural network to predict a competitor, the method comprising: receiving at least one dataset of nodes of supply chain companies, competitor companies, and customers and associated attached nodes' attributes; applying a first-order proximity to denote a local connection structure of some supply chain companies, competitor companies, and customers; applying a Laplacian Eigenmap to the first-order proximity to identify at least two positive pairs and at least two negative pairs; applying a pairwise ranking loss function that reduces the distance between the at least two positive pairs and increasing the distance between the at least two negative pairs; and based on an input identification of one company, ranking competitor companies of the company based on their Euclidean distances in the graph.

The invention provides a line body configuration method and device and electronic equipment, and is applied to the technical field of industrial automation. The method comprises the following steps: in a line body configuration process, firstly drawing a line body sketch of a line body, setting a layout direction and a layout position of a stator through a schematic diagram of the stator in the line body sketch, and then generating a configuration diagram of the line body based on the line body sketch, and enabling the position and direction of the configuration graph of the stator in the configuration graph to correspond to the layout direction and layout position of the sketch graph of the stator in the line sketch. According to the method provided by the invention, the line sketch capable of representing the layout direction and the layout position of the stator can be firstly drawn, then the configuration graph is constructed based on the line sketch, and the drawing process of the line sketch does not need to select a matched configuration graph for the stator and does not need to configure the position of each group of configuration graphs, so that the drawing process is relatively simple, and the efficiency is high. Therefore, the difficulty in the line body configuration process can be reduced.

The invention belongs to the technical field of new energy management systems, and discloses a graphic configuration consistency processing method, system and device and a medium, and the method comprises the steps: obtaining the feature information of a to-be-processed graphic configuration graph and the attribute information of a physical display device; according to the attribute information of the physical display equipment, determining the actual rendering size of a to-be-processed graphic configuration graph; according to the attribute information of the physical display equipment and the original size of the canvas of the to-be-processed graphic configuration graph, the rendering proportion of the physical display equipment is obtained through calculation; according to the rendering proportion of the physical display device and the original size and original coordinate information of each primitive in the to-be-processed graphic configuration graph, obtaining the actual rendering size and actual coordinate information of each primitive in the to-be-processed graphic configuration graph; according to the method, the operation process is simple, the adaptation operation of the graph configuration is effectively simplified, meanwhile, the graph configuration graph does not need to be drawn independently according to different physical display devices, and the generation efficiency of the graph configuration is effectively reduced.

The invention provides a configurable artificial intelligence application system and method for industrial automation. Comprising a visual configuration module used for performing consistency verification and versioning storage on a configuration graph to form a configuration snapshot; the algorithm library module is used for being selected and instantiated into algorithm nodes according to the configuration graph; the data processing module is used for generating a data processing snapshot associated with the configuration snapshot; the training engine module is used for receiving the parameter adjustment instruction from the visual configuration module, updating adjustable parameters in a training process, recording associated information of the parameters, data and a model according to training rounds, and exporting a model package; and the inference engine module is used for loading the model package and the associated data processing snapshot, performing parameterized configuration on multi-source data access according to the configuration graph, and executing online inference to generate an inference result. According to the method, configurable integration of an algorithm and a data flow can be realized, a training deployment threshold is reduced, and consistency and traceability of training and reasoning are guaranteed.

The invention provides a configuration editing management method based on a background interface of a power system monitoring system. According to the method, an interaction channel between a configuration editing platform and a system database is built, a special primitive library for electric power and a self-defined configuration module are built, monitoring picture editing and layout are built, and automatic association and manual calibration of primitives and equipment point locations and picture preview are achieved. Configuration editing management of a background interface of the monitoring system of the power system is realized through testing, publishing and picture maintenance and updating; when the method is used, convenient configuration editing management of the background interface of the power system monitoring system is realized by opening a database configuration tool, newly adding or configuring primitives, dynamically configuring pictures, editing primitive attributes, topology pictures, associating data and storing and publishing. The method is simple and easy to operate, is deeply combined with a monitoring system, supports direct association with field equipment data and states, and improves the working efficiency; the problem of inaccurate binding of the picture and the equipment point location is effectively avoided, and the risk of wrong operation is reduced.

Configuring a graph attention network, which is arranged to perform an operation in dependence on a weight matrix and an attention vector; computing an attention weight vector in dependence on the weight matrix and the attention vector; and configuring the graph attention network such that the graph attention network layer is configured to perform an operation in dependence on the attention weight vector. A feature embedding matrix may be multiplied with the weight matrix to form an intermediate matrix. This allows a compressed graph attention network comprising a compressed graph attention network layer arranged to perform a compressed operation in dependence on the one or more adjacency sub-matrix masks to be output. This neural network may be used for image processing, traffic forecasting, recommendation, protein function prediction of autonomous vehicles, with reduced data requirements and reduced latency.

Configuring a graph attention network, where the graph attention network layer performs operations in dependence on a feature embedding matrix and a weight matrix; assessing at least one dimension of one or both of the feature embedding matrix and the weight matrix; and in dependence on the dimensions of one or both of the feature embedding matrix and the weight matrix. The graph attention network layer is configured to, either: (i) perform an operation in dependence on the feature embedding matrix and the weight matrix so as to form a first intermediate output, and subsequently perform an operation in dependence on a first intermediate matrix and the first intermediate output; or (ii) perform an operation in dependence on the first intermediate matrix and the feature embedding matrix so as to form a second intermediate output, and subsequently perform an operation in dependence on the second intermediate output and the weight matrix. This neural network may be used for image processing, traffic forecasting, recommendation, protein function prediction of autonomous vehicles, with reduced data requirements and reduced latency.

The application relates to the electrical technical field and discloses an AI generation method and system from a drawing to a configuration based on a CV large model. First, an original sample set is constructed based on a single cabinet drawing, and a complex graph element sample set is screened out in the original sample set. Then, basic graph elements and non-detachable combination graph elements in each sample graph of the original sample set and complex graph elements in each sample graph of the complex graph element sample set are labeled. The CV visual large model is trained based on the labeled original sample set and the complex graph element sample set respectively, so that a basic graph element recognition model and a complex graph element recognition model are obtained. Finally, the complex graph element recognition model and the basic graph element recognition model are used in sequence to recognize a target system graph, the type and coordinates of each graph element and the topological relationship between the graph elements are obtained, and a configuration graph in a vector format is generated. In a complex circuit design scene, the method and system disclosed by the application can significantly improve the accuracy and reliability of electrical drawing recognition.

In some aspects, the techniques described herein relate to a method including: providing a graph neural network; and configuring the graph neural network to predict a competitor, the method comprising: receiving at least one dataset of nodes of supply chain companies, competitor companies, and customers and associated attached nodes' attributes; applying a first-order proximity to denote a local connection structure of some supply chain companies, competitor companies, and customers; applying a Laplacian Eigenmap to the first-order proximity to identify at least two positive pairs and at least two negative pairs; applying a pairwise ranking loss function that reduces the distance between the at least two positive pairs and increasing the distance between the at least two negative pairs; and based on an input identification of one company, ranking competitor companies of the company based on their Euclidean distances in the graph.

To provide a system.SOLUTION: A system comprises: means for creating a network constitution diagram; means for providing information based on a network introduction situation; and means for providing interactive type AI to a person in charge of a site who has no network knowledge.SELECTED DRAWING: Figure 1

The present disclosure provides an information configuration method and device, electronic equipment, storage medium and program product, and relates to the technical field of communication. The method comprises the following steps: obtaining a configuration graph structure of to-be-configured information; converting the configuration graph structure into configuration text based on a preset graph structure semantic rule, wherein the graph structure semantic rule is used to indicate a conversion relationship between the configuration graph structure and the configuration text; performing vectorization on the configuration text to obtain a configuration text vector; querying a text vector with the highest similarity to the configuration text vector in a graph structure vector library as a target text vector; obtaining configured information of the target text vector according to the target text vector; and performing information configuration on the to-be-configured information based on the configured information of the target text vector. The present disclosure performs information configuration on the to-be-configured information based on the configured information of the target text vector with the highest similarity, which can improve the configuration speed and accuracy of information, thereby reducing the configuration time consumption.