156 results about "Flowchart" patented technology

The invention provides a business rule automatic processing method and system based on natural language understanding. The method comprises the following steps: extracting text content from an original document containing business rules and preprocessing the text content; utilizing a BERT-based metadata extraction model to extract structured metadata from the preprocessed text content; confirming and perfecting the structured metadata; on the basis of the confirmed metadata, a rule execution flow chart and / or a test case are / is automatically generated and used for verifying the correctness of rule logic; and according to the target format, converting the verified rule into a corresponding symbolic representation through a template engine to obtain a defined rule. According to the invention, the automatic conversion of the business rule from the natural language description to the symbolized executable form is realized, so that business personnel can directly use the natural language to define and maintain the business rule, the manual conversion cost is reduced, and the accuracy and efficiency of rule processing are improved.

A task generation method performed by a computer device includes: obtaining task requirement information inputted based on a task generation interface; calling a large language model, and inputting the task requirement information into the large language model for performing semantic interpretation on the task requirement information and outputting an executable structural body of a target task that matches the task requirement information; performing graphic rendering on the target task based on the executable structural body of the target task, to obtain a task execution flowchart of the target task, and displaying the task execution flowchart in the task generation interface, the target task being formed according to one or more target atomic tasks; and displaying an execution progress viewing link of the target task in the task generation interface, the execution progress viewing link being configured for viewing an execution progress of the target task.

The invention relates to the technical field of software engineering and information processing, in particular to a semantic verification method and device based on a large model.The method comprises the steps that a source code file and a corresponding software requirement and design document are obtained, code semantic representation is generated based on grammar analysis and static program analysis, and a semantic verification result is obtained; based on text analysis and business flow chart structure identification, generating a design demand semantic representation; respectively inputting the code semantic representation and the design demand semantic representation into a pre-training language large model to generate a code implementation logic description and a design demand logic description; and performing semantic consistency verification on the two types of logic descriptions to obtain a semantic inconsistency result, determining a code position in the source code file based on the semantic inconsistency result, and outputting a scanning report. According to the invention, the automation degree and the rechecking performance of consistency checking of requirements can be improved, and the leak detection and reworking cost can be reduced.

The invention relates to the technical field of data processing, in particular to a complex semantic-oriented business process multi-agent modeling and intelligent error correction method and system. The method comprises the following steps: firstly, based on a BPMN meta-model, disassembling business process elements, analyzing BPMN specifications, forming a structured framework of business process modeling, processing unstructured texts in parallel through an intelligent agent group, identifying business process key concepts, mapping the business process key concepts into semi-structured information, and generating a preliminary extraction result; verifying the integrity of the preliminary extraction result based on a BPMN specification, and generating an information integrity verification report; based on an information integrity verification report, missing information of the preliminary extraction result is retrieved through a knowledge base and complemented; performing secondary verification on the complemented extraction result, and correcting the complemented extraction result based on business logic and user requirements; and generating an XML code and a visual flow chart conforming to the BPMN specification based on the corrected extraction result. According to the method, the problems of semantic fracture and structure deficiency of the complex semantic text in business process modeling can be effectively solved.

The invention discloses a machine learning Pipeline generation and deployment method and system based on a graph structure, and relates to the technical field of machine learning automatic modeling. The method comprises the steps that a machine learning flow chart designed by a user through a graphical interface is obtained, nodes in the flow chart represent operation, and edges in the flow chart represent data streams; mapping each node in the flow chart to a corresponding algorithm, and generating an executable machine learning Pipeline; executing the Pipeline, completing feature engineering, model training and evaluation, and obtaining an evaluation index; and if the evaluation index meets a preset threshold value, deploying the Pipeline as a model service. The method is used for solving the problems that in the prior art, node interface semantic conflicts are difficult to automatically and efficiently adapt, and model reasoning deployment lacks compilation level optimization for heterogeneous hardware characteristics.

The invention discloses an automatic test method and system for an electric energy meter, and solves the problems that the electric energy meter is poor in test configuration flexibility, difficult to quickly adapt to different test requirements, poor in test reliability and low in precision, and the method comprises the steps: collecting an existing test flow chart and an editing mode, and carrying out the preprocessing, and taking the collected test flow chart and editing mode as training data; a pre-training language model is adopted as a basic model, and a test knowledge graph is constructed and embedded into a Transform framework; automatically associating a standard error threshold value in the knowledge graph by using an attention mechanism in an encoder of a Transform architecture, adding a knowledge constraint layer in a decoder, and constructing a test scheme automatic generation model; and automatically generating a test scheme by using the test scheme automatic generation model, and carrying out automatic test on the electric energy meter. The configuration flexibility is improved, a user can quickly adapt to different test requirements, the error rate is reduced, the high stability and consistency of a test environment are ensured, and the stability of a test result is improved.

The invention discloses a code-configuration-free digital twin warehouse system and a construction method thereof. The construction method comprises the following steps: initializing a warehouse digital twin platform, importing entity object data, and establishing a basic two-dimensional data visualization framework and a three-dimensional rendering engine; collecting multi-source heterogeneous data in real time and preprocessing the multi-source heterogeneous data to obtain a real-time data source; 2D / 3D coordinate precision mapping and dynamic data coupling are carried out; calling a code-free configuration tool, receiving a real-time data source for a user to drag and use, and assembling a logic flow chart by the user through dragging; analyzing the logic flow chart assembled by the user through middleware to generate a low-level instruction sequence; the low-level instruction sequence is input into an external actuator and a physical simulation engine; virtual verification and situational simulation are executed through a physical simulation engine, and optimization suggestions are output and adjusted. The invention provides a code-free configuration integration mechanism, supports non-technical personnel to autonomously construct data-driven twinning application, and realizes transformation of warehouse digital twinning from static monitoring to dynamic iteration.

The invention provides a domain-oriented block chain intelligent contract generation method and system, and relates to the technical field of block chains, and the method comprises the steps: guiding a user to completely express a business demand through a multi-round question and answer mode, and generating a business flow chart; constructing an interactive flow chart editing interface to optimize a business flow chart; establishing a large language model for generating an intelligent contract code; constructing a Prompt engineering framework and a domain knowledge base for the business domain, retrieving related knowledge from the domain knowledge base, inputting a large language model for generating an intelligent contract code, and generating the intelligent contract code; and performing security check on the smart contract code, deploying the smart contract code to a target block chain platform, and displaying the execution state of the smart contract and the actual operation effect of the smart contract in real time. According to the method, non-technical personnel can directly express business requirements through intelligent dialogue guidance, the development efficiency is greatly improved, and the whole process of automatic requirement collection, flow chart generation and code generation is achieved.

In various examples, static single assignment-based control flow graph traversal analysis for uninitialized variable detection system and methods are disclosed. A pre-compiler stage of a compiler system, may reconstruct source code into an SSA form IR and detect and identify uninitialized variables based on applying a variable analysis pass that traverses a CFG corresponding to the SSA form IR. A variable analysis pass may traverse through the CFG to build a defined variable map and a Phi variable map. The maps may be used to map undefined variables to basic blocks of the CFG where the undefined variables occur. The variable analysis pass may pass uninitialized variable data to a compiler error handling process. The compiler error handling process may produce an error report that traces the basic block with undefined variables to lines of the source code to assist in efficiently debugging the source code.

The invention relates to the technical field of business process modeling, in particular to a meta-model-driven interactive business process intelligent modeling method and system. The method comprises the following steps: constructing a meta-model framework containing core elements such as activities, events and gateways, and establishing a meta-model constraint rule base to define a structure legality rule of a BPMN2.0 specification; based on a domain ontology Schema and the domain exclusive large language model after instruction fine tuning, extracting a business entity and a process relationship thereof from the unstructured text; carrying out information integrity verification and logic consistency detection on the extracted BPMN elements by utilizing a constraint satisfaction algorithm and Petri net reachability analysis; displaying a difference label of the process sketch through an interactive verification interface, and realizing semantic correction and model iteration of a user on the process elements based on a natural language feedback mechanism; an XML code is generated by adopting a template-driven code generation strategy, and a flow chart is generated through a BPMN parser. According to the method, the business process modeling efficiency can be remarkably improved, and the manual intervention proportion in the modeling process is reduced.

The present invention relates to an artificial intelligence application development system for enabling easy development of an artificial intelligence application on the basis of graphics. The artificial intelligence application development system according to the present invention comprises: an IDE providing device (1) for providing an IDE through which a developer can develop an application in a graphic base; and a storage device having a node library and a project library. The IDE providing device (1) includes a user interface (20) which enables a developer to generate a flow graph by using nodes and edges, wherein the user interface (20) includes a node calling means for enabling the developer to call 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. In addition, the IDE providing device (1) comprises a hyperparameter engine (13) for setting hyperparameters for the nodes and a flow-graph engine (12) for interpreting and executing the flow graph.

This application discloses a method, apparatus, processor, and electronic device for generating approval flowcharts, relating to the fintech field or other related fields. The method includes: acquiring multiple target components and multiple target relationship information, wherein the multiple target components are components in a target approval flowchart, and each target relationship information represents the relationship between two target components in the target approval flowchart; performing target processing on the multiple target components and multiple target relationship information to generate a target approval flowchart, wherein the target processing includes at least: visualization processing and rendering processing. This application solves the problem of low approval efficiency caused by generating approval flowcharts through coding in related technologies.

The embodiment of the invention discloses a flow chart representation method and device, a storage medium and electronic equipment, and relates to the technical field of image processing. The method comprises the following steps: converting a flow chart into a directed graph comprising a plurality of nodes and at least one edge; randomly distributing node identifiers for the nodes based on a preset identifier set; sorting the plurality of nodes based on a preset sorting rule according to the spatial positions of the nodes on the flow chart to obtain a node identification sequence; sorting the plurality of edges according to the sequence of the node identifiers of the nodes at the two ends of the edges in the node identifier sequence to obtain an edge identifier sequence; and generating structured representation data of the flow chart based on the node identification sequence and the edge identification sequence. According to the method, the accuracy and the stability of flow chart structured analysis are improved, low-ambiguity, high-consistency and easy-to-expand structured representation data are provided for a multi-modal large model, and high-quality structured input is provided for subsequent tasks such as flow analysis, logic verification and flow report generation.

This invention belongs to the technical field of nuclear power plant operation procedures, specifically relating to a digital procedure flowchart display and execution system and method. It includes a flowchart conversion module and a digital procedure auxiliary execution module. The flowchart conversion module provides switching tabs, allowing users to switch between a tabular interface and a flowchart interface. When switching to the flowchart interface, it automatically generates a procedure execution flowchart based on the current execution progress and displays the current execution status. Users can complete the current step by touching or clicking the "complete" or "fail" button. The digital procedure auxiliary execution module provides a graphical procedure interface, allowing users to complete the current step by touching or clicking. The advantages of this invention are: it converts tabular programs into flowchart form and allows switching between the two; the flowchart form is more intuitive and easier for executors to understand; and the two program display methods do not affect the execution result.

The application provides an IVR flow arrangement method, device and equipment and a storage medium. The method pre-establishes a node database, and a user can generate a node path from a first node to an end node of a flow by using the node database. The coordinates of each node on the node path are calculated by using a coordinate algorithm, the nodes containing the coordinate information are encapsulated, an interactive voice response (IVR) flowchart is generated and displayed, a complete set of IVR flows related to the first node is automatically generated based on the node database and the IVR flowchart, and the efficiency of IVR flow configuration is effectively improved. A visual flow customization environment is provided for the user, operations of the user on the IVR flowchart in the visual flow customization environment are received and processed, IVR flow arrangement data is obtained, and the efficiency and data accuracy of flow arrangement can be greatly improved.

The object and advantages of the invention will be realized and attained by means of the elements and combinations particularly pointed out in the claims.SOLUTION: A system includes a reception unit, an analysis unit, a generation unit, and a provision unit. The receiving unit receives an input from a user. The analysis unit analyzes the information received by the reception unit. The generation unit generates a flowchart based on the information analyzed by the analysis unit. The providing unit provides the user with the flowchart generated by the generating unit.SELECTED DRAWING: Figure 1

The invention discloses an intelligent fault tree generation method based on cooperation of a multi-modal large model and a large language model, and relates to the field of fault tree analysis. In order to solve the defects of low tree building efficiency, insufficient cross-modal information processing and incomplete fault causal chain reasoning in the prior art, the technical scheme provided by the invention comprises the following steps: carrying out topological structure analysis on a system flow chart by adopting a multi-modal large model to obtain an equipment network table; taking the equipment network list as input, and performing fault mode directional retrieval on the equipment information base by adopting a large language model to obtain a fault mode list; taking the equipment network list and the fault mode list as input, performing failure reason reasoning by adopting a large language model, and establishing a fault causal chain from a system layer to an equipment layer; and taking the fault causal chain as input, constructing a fault tree by adopting a large language model, and generating a complete fault tree structure from a system top event to an equipment basic event. The method is suitable for safety and reliability analysis work of a complex industrial system.

The invention provides a dynamic online handwritten flow chart recognition method and device, and the method comprises the steps: extracting the geometric representation of strokes from online stroke data, and obtaining a stroke feature sequence; performing streaming reasoning on the stroke feature sequence through target coding operation by adopting an attention mask mechanism to obtain coding features; the target coding operation comprises the steps of segmenting a stroke feature sequence into non-overlapping blocks, setting stroke features in the blocks to be mutually visible, setting a current block to only access a preorder block in a historical window, and shielding future block information; and identifying symbol instances in the online handwritten flow chart in real time according to the coding characteristics, and outputting category information and position information of each symbol instance. According to the method provided by the invention, the real-time dynamic stream symbol segmentation and identification of the online handwritten flow chart are realized, and the real-time performance and accuracy of the identification of the online handwritten flow chart are improved.

The invention provides a method for arranging an agent process workflow, and belongs to the field of workflow arrangement. The method defines a service through an agent and arranges a workflow execution flow direction, and comprises the following steps: S1, selecting to access a self-defined process agent; s2, a flow starting operation related flow variable is introduced, and a flow starting flow is called; s3, judging whether flow starting is successful or not, and if yes, turning to S3; if not, whether the number of times of starting the execution process reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S2S3 is executed, and the process is executed; s4, judging whether the process is executed successfully or not, and if yes, turning to S4; if not, whether the number of times of flow execution reaches a threshold value or not is judged, if yes, the step S5 is executed, and if not, the step S3 is executed again; s4, calling an API (Application Program Interface), and accessing an intelligent agent; and S5, ending. According to the method, a natural language-driven process is realized and a use threshold is reduced; and the flow process engine and the embedded architecture are decoupled, and the flow diagram is decoupled, so that the extensibility of the process service is improved.

The present disclosure relates to a system and method for providing a flowchart-based user interface to a user and generating instruction codes of a microcontroller unit based on an operation process of the microcontroller unit designed by the user. The system for generating the instruction codes of the microcontroller unit according to an embodiment of the present disclosure includes: a memory configured to store at least one instruction; a component storage; a code conversion logic storage; and a processor, wherein the at least one instruction includes instructions for: generating a first flowchart instance based on at least one flowchart component; further receiving a target component and at least one of a property, and a value of the first flowchart instance to generate an operation process; and converting the operation process into an instruction code including an instruction, a register address, and data based on the code conversion logic.

The application discloses a kind of machine learning Pipeline generation and deployment method and system based on graph structure, it is related to machine learning automatic modeling technical field.The method comprises: obtaining the machine learning flowchart designed by graphical interface of user, node in the flowchart indicates operation, edge indicates data stream;Each node in the flowchart is mapped to corresponding algorithm, and executable machine learning Pipeline is generated;The Pipeline is executed, and feature engineering, model training and evaluation are completed, and evaluation index is obtained;If the evaluation index meets preset threshold, then the Pipeline is deployed as model service.The application is used to solve the problems that node interface semantic conflict is difficult to automatically and efficiently adapt in the prior art, and model inference deployment lacks compilation-level optimization for heterogeneous hardware characteristics.

The invention discloses a system information intelligent acquisition method based on cooperation of a multi-modal large model and a large language model, and relates to the field of fault tree analysis. In the prior art, the efficiency of obtaining the topological structure and fault knowledge of a system is low, the accuracy is insufficient, and the cross-modal cooperative processing capability is lacked, the invention provides the following scheme: obtaining and preprocessing a system flow chart, and generating high-quality input data through functional decoupling and physical boundary decomposition; carrying out symbol recognition and text extraction to obtain preliminary topological information; forming a standardized system information file through a regular expression; inputting the file into a large language model to obtain a fault information set containing a fault mode and traceability information; integrating the topology file and the fault information to form system information data; and after consistency and integrity verification, outputting a standardized file which can be directly used for fault tree analysis and reliability evaluation. The method is suitable for system topology construction, fault tree analysis and safety and reliability evaluation work of a complex industrial system.

The application discloses a data cleaning method and device, a storage medium and an electronic device. The method comprises the following steps: in response to an operation command of a target object to a plurality of operation nodes, a first flowchart is generated, wherein each operation node is used for executing at least one operation of a target data cleaning task corresponding to the first flowchart, and the first flowchart represents the execution sequence of the plurality of operation nodes; according to the first flowchart, a cleaning rule of the target data cleaning task is determined, wherein the cleaning rule at least comprises a running rule of the plurality of operation nodes; based on the cleaning rule, a data cleaning process is performed on a source data set corresponding to the target data cleaning task to obtain a target cleaning result, wherein the target cleaning result represents whether the data cleaning process is successful. The application solves the technical problem of low execution efficiency of a data cleaning task in the prior art by using a code writing method for data cleaning.

The application discloses a kind of analysis and identification method and system for block chain execution timing vulnerability, belong to the field of blockchain technology.The method comprises: constructing the control flow graph of blockchain source code, and optimizing and simplifying control flow graph, obtain main control flow graph;Symbolic reasoning is executed on the main control flow process graph based on virtual input and output, and execution state and execution trajectory are generated;Based on execution state and execution trajectory, analyze the time sequence related operation in execution block and between execution blocks to identify the execution sequence with execution sequence vulnerability.Injection of abnormal timing data, analyze simulation execution output, exclude false alarm.The application can analyze the potential endogenous security risk of blockchain, effectively protect the property safety of user on blockchain.

The invention relates to a tool for generating content based on artificial intelligence (AIGC), and aims to automatically generate a flow chart. According to the tool, efficient and accurate flow chart generation is realized by analyzing the requirement description input by the user and utilizing a natural language processing technology and a generation model, and the problem of low efficiency of manually drawing the flow chart is solved.

The present application belongs to the technical field of data processing, and particularly relates to a flowchart understanding method, system, device and storage medium. The present application aims to solve the technical problems of the prior art, such as dependence on a large amount of high-quality artificial annotation data and lack of accurate modeling of high-order semantic relationships. The present application comprises the following steps: data analysis and data cleaning are performed on original flowchart data to obtain flowchart text data; a training data set is constructed, and a pre-trained visual multi-modal large model is fine-tuned through the training data set; flowchart entities and their logical relationships are extracted from the flowchart text data by using a flowchart domain large model, a structured flowchart knowledge graph is constructed, and the flowchart knowledge graph is stored in a graph database; a user question is obtained, relevant entities and relationships are retrieved in the graph database, and a preliminary retrieval answer is obtained; the preliminary retrieval answer and the user question are fused to obtain a prompt question; and the prompt question is input into the flowchart domain large model to obtain a final flowchart understanding answer.

The invention relates to a flow chart processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a component editing operation triggered for an initial flow chart displayed in a canvas, determining a target flow component indicated by the component editing operation; and executing component editing processing on the target process component, and rearranging the process components in the canvas based on a component connection relationship of the target process component in the initial flow chart to obtain an updated flow chart. By adopting the method, the flow chart can be efficiently processed.

The present application provides a method and apparatus for digitizing a system flow diagram of a nuclear power plant, and a related device. The method comprises: acquiring a plurality of flow diagram files corresponding to a target nuclear power plant and item attributes of a plurality of items, wherein each flow diagram file comprises a plurality of pieces of graphic symbol information, and each piece of graphic symbol information is used to represent a type of item; constructing a flow diagram directory tree on the basis of the plurality of flow diagram files and the item attribute of the item corresponding to each piece of graphic symbol information, wherein the flow diagram directory tree comprises a diagram directory level and an item directory level, the diagram directory level comprises at least one flow diagram file, and the item directory level comprises at least one item; determining a corresponding target digitized element from the diagram directory level or the item directory level; and displaying the target digitized element in a preset diagram display area. The present application can improve the analysis efficiency of various operations in nuclear power plant systems by means of a digitized flow diagram.

The application provides a nuclear power plant flowchart legend recognition and coding matching method and system, which comprises the following steps: obtaining a drawing of a nuclear power plant flowchart, recognizing legends, legend categories and codes in the drawing, and obtaining the positions of each legend and each code in the drawing; the legend corresponds to the legend category; determining the equipment type corresponding to the code according to the code and a preset coding rule; matching the corresponding code for each legend according to the association between the legend position and the code position to obtain the matching result of the legend and the code; and checking the equipment type corresponding to the code in the matching result and the legend category corresponding to the legend, if the equipment type and the legend category are consistent, the checking is passed, and the association between the legend and the code is confirmed. The association between the legend and the code is realized through the matching according to the association between the legend position and the code position and the checking according to the coding rule and the legend category, and the two work together.

The application relates to a publishing process processing method and device, computer equipment and a storage medium. The method comprises the following steps: receiving an editing request for a flowchart of a target publishing plan sent by at least one terminal in a plurality of terminals; the plurality of terminals respectively display a flowchart of the target publishing plan and a publishing plan state of the target publishing plan; based on the editing request, the flowchart of the target publishing plan displayed by the plurality of terminals is synchronously updated; a historical task connection relationship set is used to check a connection relationship between task nodes in the flowchart of the target publishing plan; in the case that the connection relationship is found to be abnormal, connection relationship abnormality prompt information is sent to the plurality of terminals; and in response to a plan state change request for the target publishing plan, the publishing plan state of the target publishing plan displayed by the plurality of terminals is updated. The method can improve the processing efficiency of the publishing plan.