79 results about "Process map" patented technology

The invention relates to the technical field of data processing, and discloses a full-life-cycle-oriented engineering technology data governance method and a full-life-cycle-oriented engineering technology data governance system. The method comprises the steps that project object attributes are divided into an anchor point attribute set and an extended attribute set, a locking mark is added to the anchor point attribute set, the extended attribute set is layered according to stages to obtain a data object meta-model, a dependency relationship mapping table is established according to the data object meta-model to achieve automatic verification when the attributes are changed, and the attribute change is completed. And establishing a spatial topological graph and a process graph to diagnose inconsistent defects, establishing a weighted graph to quantitatively analyze change influences, evaluating data quality according to scene types, and intelligently complementing missing attributes. According to the method, the integrity and consistency of cross-stage transmission of engineering data, the real-time performance and accuracy of multi-professional data collaboration, the depth and automation degree of data quality diagnosis, the scientificity and comprehensiveness of change impact analysis and the flexibility and efficiency of data utilization are improved.

Intent-based automation that discovers automatable tasks and / or determines task variants in data is disclosed. Task capture data may be utilized to determine task variants in task mining data. Semantic understanding of user actions by artificial intelligence (AI) / machine learning (ML) model(s), for example, may be applied to determine the intent of the user rather than only focusing on what actions the user is performing on the computing system. Application logs and semantic understanding may be used to facilitate a more accurate determination of what the user actually intends to do. Task capture for individual user flows may be performed. Once these are captured, task capture algorithms and AI / ML models are used to determine which parts of the flows are similar and / or match and which parts are unique. The path through these flows can then be followed to build a process graph that includes decision points representing the unique flows.

The invention provides a test case sequence generation method and device, equipment and a storage medium. The method comprises the following steps: acquiring calling data of an interface in a business process in real time by adopting a probe; for each interface, multi-dimensional data features are extracted according to the corresponding calling data, and the data features comprise data fingerprints, semantic vectors and structural hash; performing feature matching according to the data feature of each interface to determine a dependency relationship between the interfaces; constructing an interface business flow chart according to the dependency relationship between the interfaces; and generating a test case sequence according to the interface business flow chart, associating the test case sequence with the static data template, and executing a test through dynamic injection parameters. According to the method, the interface dependency relationship can be accurately and automatically identified by extracting multi-dimensional features such as data fingerprints, semantic vectors and structural hash from the calling data and matching the multi-dimensional features, the interface business flow chart is constructed based on the dependency relationship, the test case sequence is generated according to the interface business flow chart, and the test efficiency and reliability are improved.

The invention discloses a business process processing method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: converting target voice data of a to-be-handled service of a user into a voice text; identifying a target business intention corresponding to the voice text; determining a business flow chart corresponding to the target business intention; and in the process of handling the to-be-handled business by the user, generating operation guidance information based on the business flow chart, and displaying the operation guidance information. According to the technical scheme provided by the invention, the user can be guided to complete the business process operation, the use threshold of the digital service is reduced, and the business handling efficiency and the use experience feeling of various users are improved.

The invention discloses an inspection task configuration method and system based on a mandatory behavior interface and a structured scene file, and the method comprises the steps: providing functional module items which forcibly achieve a unified behavior interface in a graphical designer, and enabling a user to form an inspection flow chart through dragging; writing the flow chart into a structured scene file through a serialization method defined by an interface; the emulator and the deployment tool load the file respectively, function module items are reconstructed through deserialization, an execution method of the function module items is directly called for logic verification, or robot instructions are generated through analysis. According to the method, a unified interface is used for binding graphs and logics, a single scene file is used for connecting the whole process of design, simulation and deployment, the problems that in a traditional scheme, operation is complex, and data splitting and semantics are inconsistent are solved, the purpose that line is achieved through programming is achieved, the configuration threshold is remarkably lowered, and development efficiency and system reliability are improved.

The invention relates to the technical field of equipment fault root cause analysis and operation and maintenance management and control, and discloses an equipment operation and maintenance intelligent analysis and management and control method and system based on a fault root cause. Constructing a knowledge graph which contains causal association rules of all stages and is updated regularly; performing machine language processing, introducing a time dimension to form a time sequence fault mode knowledge graph, and designing an operation and maintenance large language model cue word containing a dynamic time window instruction; inputting processed map data, equipment full life cycle parameters and operation and maintenance demand natural language description, and outputting a fault root cause identification result considering full life cycle factors; and finally, automatically generating a preventive operation and maintenance scheme according to a result, updating atlas data, and dynamically adjusting the priority of the scheme in combination with a fault root cause weight and an operation and maintenance priority mapping model to form a closed-loop management and control mechanism so as to realize accurate analysis of equipment faults and beforehand efficient operation and maintenance.

The invention discloses an aviation order analysis method and device, electronic equipment and a storage medium, and relates to the technical field of aviation information or other related fields, and the method comprises the steps: receiving to-be-analyzed target order data, and verifying the target order data based on a preset verification strategy; under the condition that verification is passed, service entity information is extracted from the target order data based on a preset extraction strategy, and the preset extraction strategy is used for specifying an extraction field and a field association relationship; a time sequence correlation model of the target order is constructed based on the business entity information by adopting a time sequence analysis algorithm, and the time sequence correlation model is used for recording all historical business operations of the target order according to a time sequence; and converting the time sequence correlation model into a business flow chart, and rendering the business flow chart to a display area. According to the invention, the technical problem of low data analysis precision caused by poor process data integration capability of an aviation system for complex orders in the prior art is solved.

The model rendering method provided by the invention comprises the following steps: obtaining a three-dimensional model and a map corresponding to the three-dimensional model, creating a main body material and a shadow material, and carrying out stylization processing on the map to obtain a processed map; wherein the stylized texture comprises applying a drawing texture filter and / or adding a texture effect, distributing the processed chartlet to a corresponding material channel, performing rendering calculation based on the three-dimensional model and the material channel, and outputting a rendered image. According to the method provided by the embodiment of the invention, diversified artistic style rendering effects can be realized by performing stylization processing on the chartlet and creating the special material type, and compared with traditional single physical authenticity rendering, artistry and flexibility of visual performance are greatly improved; and meanwhile, through standardized material distribution and rendering processes, the automation degree and the processing efficiency of rendering operation are remarkably improved.

This disclosure is directed to a method for modeling additive manufacturing of a part, including a number of steps. The steps include constructing a model for estimating output of a simulated additive manufacturing process, followed by entering process operating parameters for an additive manufacturing system into the model to produce an output. The output is compared to acceptance criteria to determine whether the output is acceptable or unacceptable. Next regions of operating parameters that support production of the part with acceptable quality characteristics are determined based upon the output. Regions of operating parameters that support production of the part with acceptable quality characteristics are added to a process map for additive manufacturing the part. The steps are repeated for different operating parameters until the process map is complete.

The invention discloses a work order processing map interaction system and method for multi-dimensional screening and personnel positioning, and relates to the technical field of geographic information. Comprising the steps that 1, a work order processing map interaction system oriented to multi-dimensional screening and personnel positioning is created; 2, a front-end interaction module sets a screening control set in the area of a map interface; 3, the back-end data processing module responds to screening operation of a user on a map interface, obtains a first screening condition selected by the user, obtains corresponding in-transit work order data from the server and sends the in-transit work order data to the front-end interaction module, and the front-end interaction module sends the in-transit work order data to the back-end data processing module; 4, rendering the preset number of work order data or all the in-transit work order data on the map interface by the front-end interaction module, presenting the work order data or all the in-transit work order data in the form of markers, and responding to the click operation of a user on the markers on the map interface by the front-end interaction module. And executing operation according to the authority information of the user and the work order attribute corresponding to the marker.

The invention relates to the technical field of artificial intelligence, and discloses a conference summary automatic generation method and device, equipment and a medium, and the method comprises the steps: obtaining a conference image, a conference text and conference voice of a target conference, carrying out the text conversion of the conference voice, obtaining a converted text, and storing the converted text; performing cross-modal semantic alignment on the conference image, the conference text and the converted text sequence to obtain a semantic network, extracting structured information of the semantic network, and constructing a conference discussion process map based on the converted text and a timestamp of the structured information, generating a discussion content summary according to the conference discussion process graph, constructing a conference knowledge graph according to the semantic network, generating a conference hierarchical abstract according to the conference knowledge graph, and summarizing the discussion content summary and the conference hierarchical abstract to obtain the conference content summary, thereby improving the accuracy of the conference summary.

The invention discloses a large model-based document handling flow knowledge base construction and multi-round memory question and answer method, which comprises the following steps of: respectively acquiring region information associated with document handling items and flow key information corresponding to various document handling items to form a target document; performing knowledge segmentation on data in the target document, performing vectorization processing on segmented contents by adopting an open source semantic vector and a reordering model, storing a result into a local vector database to construct a file handling flow knowledge base, and configuring a target function; an original retrieval question input by a user is processed in combination with the constructed multi-round memory question and answer intelligent model and the document handling flow knowledge base, reply content is output in a point division mode, and the reply content is automatically associated with a direct link corresponding to a document handling item and a document handling flow chart; and updating the file handling process knowledge base based on question feedback and executing a new round of memory questions and answers.

This invention discloses a rapid design tool and its application in process piping and instrumentation diagrams, relating to the field of engineering drawing technology. It includes: a data interaction module for exchanging data between drawing files loaded in the CAD platform and external data files, enabling the export of drawing data and / or drawing updates based on external data; an intelligent positioning module connected to the data interaction module for locating and highlighting corresponding graphic elements in the drawing file based on user-input search criteria; and an Excel integration module connected to the data interaction module for processing Excel data files associated with the drawing file, performing automatic generation of equipment tag numbers and / or merging of data from multiple tables. In summary, the advantages of this invention are: by integrating a lightweight plugin into a mature CAD platform, it achieves bidirectional intelligent interaction and efficient synchronization between drawing data and external table data.

The present disclosure provides a machining drawing inspection method, comprising the following steps: obtaining a machining drawing and a parts list; converting a first coordinate group of a part included in the parts list into a second coordinate group corresponding to the machining drawing according to a conversion matrix; obtaining line data corresponding to the part according to the parts list; obtaining a part outer frame corresponding to the part on the machining drawing according to the second coordinate group and the line data; adjusting the part outer frame into an enlarged outer frame according to a preset value; and outputting a warning notification when a part of a non-punching area on the machining drawing falls within the enlarged outer frame. The present disclosure also provides a machining drawing inspection system.

Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner. Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and / or displayed can be reduced, without loss of any associated information content in a displayed map.

The present application relates to the technical field of geographic information data processing, in particular to a kind of on-demand customized loading system of high-precision map tile and its implementation method.The present application obtains the tile static compliance rate and tile dynamic compliance rate of each to-be-processed map tile according to the position distribution of the planar geographic range rectangle of each to-be-processed map tile, and the planar positioning coordinate and positioning error radius of current rendering frame;Obtain the smooth compliance score of each to-be-processed map tile under current rendering frame by combining the positioning error radius of current rendering frame and the file byte number of different to-be-processed map tiles;According to the positioning error radius of current rendering frame, adjust initial buffer threshold, obtain dynamic buffer threshold;Further obtain the compliance control state of each to-be-processed map tile;Loading control is carried out.The present application accurately obtains the compliance control state of to-be-processed map tile by considering positioning noise, improves the stability and effectiveness of customized loading.

The application discloses a kind of multi-modal business process chart generation method, system and computer equipment, the method includes: obtaining recording data, screen recording data and event log containing user number and time stamp attribute;Segmented log representing a business step and its start time and end time are obtained by segmenting and merging event log;According to the start time, end time of each business step, extract the recording segment from recording data and generate word cloud, extract screen keyword from screen recording data and generate word cloud, extract operation sequence from the event log of business step, obtain the operation sequence, recording word cloud, screen word cloud representing business semantics;Based on the segmented and merged event log, apply process mining algorithm, and increase corresponding operation sequence, recording word cloud, screen word cloud, obtain multi-modal business process chart.The application can simultaneously process multi-modal data of recording, screen recording and event log, and generate multi-modal business process chart.

This application discloses an application building and running method, apparatus, computer device, and storage medium. The method includes: loading a test environment, which includes at least a component library and a visual orchestration canvas; constructing a business process diagram based on the placement and connection relationships of multiple functional nodes in the component library on the visual orchestration canvas; obtaining the node parameters and dialogue templates corresponding to each functional node, parsing variable placeholders, and establishing mapping relationships; triggering a running instruction, parsing the connection relationships and data dependencies between functional nodes in the business process diagram, executing each functional node, and generating node output data based on the node parameters of each functional node; determining the correspondence between the data fields in the node output data and the variable placeholders in the dialogue template according to the mapping relationship, and filling the corresponding variable placeholders with the node output data to generate the output result. This method can simplify the development process and improve the participation of business personnel.

The embodiments of the present application belong to the technical field of digitalization of nuclear power plants. Provided are a method and apparatus for converting a process flow diagram of a nuclear power plant, and an electronic device and a storage medium. The method comprises: acquiring a plurality of original process flow diagrams in different flow diagram formats; on the basis of the flow diagram formats, performing graphic symbol information recognition on the original process flow diagrams, so as to obtain item graphic symbol data, wherein the item graphic symbol data comprises a plurality of pieces of graphic symbol information and a corresponding graphic symbol image of each piece of graphic symbol information, and each piece of graphic symbol information is used for representing a type of item; on the basis of each piece of graphic symbol information in the item graphic symbol data, performing attribute information matching, so as to obtain item attribute information corresponding to each item; and on the basis of the graphic symbol image corresponding to each piece of graphic symbol information and the corresponding item attribute information, constructing a target process flow diagram having a unified flow diagram format. The embodiments of the present application enable complete conversion of drawing data from different development platforms while retaining complete attribute information and corresponding associated information.

The invention discloses an interaction and log diagnosis method of an industrial control system, which comprises a native interaction unit, a running state process visualization unit, a single-point test unit, an independent node debugging unit, a visualization diagnosis analysis unit and an AI data acquisition and log construction unit, and is characterized in that the native interaction unit is used for providing a native Web type human-computer interaction interface; as a unified operation entry, the running state flow visualization unit is used for dynamically displaying a flow DAG in real time and visually presenting the running state of the system. According to the method, the native diagnosis interface supporting intelligent service interaction is provided, additional equipment and software are not needed, the operation and maintenance operation is simplified, the cost is reduced, end-to-end perspective from intelligent decision making to physical execution is achieved by covering the full-link log of the service application, and the user experience is improved. Therefore, the fault location of the complex system becomes unprecedented clear and efficient, and the average repair time is greatly shortened.

This invention relates to the field of data processing technology, and discloses a backend data processing method, apparatus, device, and medium, comprising: standardizing and uploading the basic equipment information of the target device to a backend server; using a preset semantic network for semantic deconstruction and reorganization to generate a structured semantic knowledge graph, thereby deeply revealing the inherent logical relationships between data. Based on this graph, a business indicator heatmap is drawn in conjunction with real-time backend business data to intuitively present risks and performance bottlenecks; a real-time business recommendation strategy is generated in conjunction with customer data to achieve precise marketing decisions; simultaneously, the business logic is modeled and associated with business data to obtain a visualized business process graph, clarifying the business logic and data flow. Finally, the heatmap, recommendation strategy, and process graph are integrated to generate a unified business navigation interface. This invention improves the data integration capability and semantic parsing capability of complex business data during backend data processing.

The present invention relates to an IDE provision device for generating a flow graph on basis of graphics, and an artificial intelligence applicator development system using same. The artificial intelligence application development system according to the present invention comprises: an IDE provision device (1) for providing an IDE through which a developer can generate a flow graph on the basis of graphics; a storage device (2) having a node library and a project library; and a flow graph execution engine (3) for interpreting and executing the flow graph generated through the IDE. The IDE provision device (1) includes a user interface (20) for enabling the developer to generate the flow graph by using nodes and edges, wherein the user interface (20) includes a node calling means by which the developer calls the nodes to a workspace, and an edge connection means for connecting the edges for setting a process flow or a data flow between the nodes.

The embodiment of the invention provides a map element topological relation judgment method and device, equipment, a medium and a product. The method comprises the following steps: acquiring geometric positions of a road line and a plurality of linear elements in a map, establishing a reference line based on the road line, projecting the linear elements, and judging a topological relation among different linear elements according to projection coordinates. Aiming at the problem of space calculation complexity of linear elements, a uniform reference line is projected, a multi-dimensional geometric position is mapped into a linear numerical value, and multi-dimensional geometric operation is replaced by one-dimensional numerical value comparison, so that the limitation of traditional geometric function superposition calculation can be broken through, the implementation complexity of topological relation judgment is remarkably reduced, and the calculation efficiency is improved; an operator can process map data more efficiently, and the map making and updating period is shortened.

The invention discloses a total element-based dynamic business process intelligent arrangement and execution method and system, a medium and a product, and relates to the field of business process management, and the method comprises the steps: carrying out the version selection and instantiation of each tool element in a tool element set; according to the input and output contract of each tool element in the instantiated tool set, constructing a preliminary directed acyclic graph; performing iterative optimization by adopting a structure quality function according to the preliminary directed acyclic graph structure; performing dynamic configuration and training on the model component of each tool element in the business flow chart; performing global business logic verification on the dynamic business flow chart; dynamically operating the executable business process model by utilizing an execution engine; constructing a runtime data set according to the runtime data in the execution process; and generating an incremental training set for feedback based on the runtime data set. According to the application, the business process can be automatically constructed, dynamically executed and continuously optimized.

A process data store may contain a process model (e.g., a process graph, with process graph elements that include nodes and edges, as generated via process mining or a BPMN representation). A process server may retrieve information from the process data store and receive user feedback data. The server may determine if the information retrieved from the process data store is associated with a prior mapping of survey questions to the information retrieved from the process data store. If the information retrieved from the process data store is not associated with a prior mapping of survey questions, embodiments may utilize Machine Learning (“ML”) to automatically map the user feedback data to the information retrieved from the process data store. The server may then automatically assign, group, and analyze the user feedback data to generate a recommended alteration.

This invention relates to the field of intelligent processing of chemical process diagrams and industrial image recognition technology, specifically to an intelligent parsing and change management method for chemical process diagrams (P&ID) based on image processing. The method includes: acquiring a two-dimensional degraded document image containing unstructured modification traces; extracting underlying image connectivity features and character features; inputting a graph neural network to reconstruct an initial logical topology network; dividing local regions and detecting logical conflicts using deterministic topology rules, quantifying the probability value of topological logical conflicts; comparing with a preset danger threshold, actively severing logical connections in high-risk areas and marking them as isolated sub-graph regions awaiting manual review, while retaining connectivity paths in low-risk areas to generate a global topology network; updating the global topology network based on manual review feedback, and outputting the final document drawing change parsing version. This invention significantly improves the recognition stability of complex on-site drawings.

The invention provides a method for automatically developing an arrangement process, belongs to the technical field of software development automation, and realizes the automatic development of the arrangement process by pre-defining a configuration file template. Comprising the following steps: formulating a standard configuration file template, and configuring information of a process Chinese name, a process English name, a service main table and an order sending message; reading and analyzing the content of the configuration file; and automatically executing a development and arrangement process according to preset steps, wherein the development and arrangement process comprises generation of a service main table, a data model, atomic power, order receiving task design, work order details, a service flow chart, product and service process binding and the like. The development efficiency can be remarkably improved, repeated work is reduced, manual operation errors are reduced, and standardization and automation of the development and arrangement process are achieved.

Recorded sessions of skilled personnel at work are used to train a first machine learning (ML) tool to extract workflow maps. These maps are used to train a second ML tool to emulate at least one workflow. The first ML tool is trained to predict an annotator's output. Either ML tool can be a copilot having a microservice network architecture. Further, complex sets of workflows can be subdivided for efficient support with small ML tools for (1) workflow map extraction and (2) emulation. Based on segment demarcation accompanying a recording, segments are assigned to specialized ML extraction tools for workflow map extraction. Extracted workflow maps are used to train workflow emulator(s). Similarly, specialized ML emulation tools can emulate respective tasks. A distribution microservice can identify a task to be emulated and can invoke the appropriate specialized ML tool. Similar microservice network architectures support both applications.

Systems and methods for improving business processes. In some embodiments, the method includes receiving business process data; generating, based on the business process data, a process map representing a business process using a first machine learning model deployed at the cloud-based cluster; generating, based on the process map, at least one alternative process map using a second machine learning model; evaluating the generated process maps using at least one business objective; selecting an improved process map from the generated process maps based on the evaluation; presenting, at an interactive user interface, at least one of the generated process maps, the at least one generated process map including the improved process map; receiving, at the interactive user interface, a user selection indicating a preferred process map from the at least one generated process map; and implementing the preferred process map.