83 results about "Flow process chart" patented technology

The invention discloses an Agent-based tool combination and task processing method and device, equipment and a medium, and the method comprises the steps: carrying out the natural language processing of a task instruction inputted by a user, and generating a structured semantic vector containing task semantics; performing similarity matching on the structured semantic vector and a predefined tool node semantic tag in a knowledge base, and outputting a candidate tool node set related to the current task; performing dynamic priority ranking on the candidate tool node set based on context parameters to generate an initial thinking chain; converting the thinking chain into a tree flow chart structure, and performing dynamic addition and deletion or parameter adjustment on tool nodes in the flow chart according to a feedback or preset optimization strategy; and updating tool combinational logic according to the adjusted thinking chain, processing the task instruction, and outputting a task processing result. The tool nodes are matched through the Agent agents, and the thinking chain is generated through dynamic sorting, so that the task processing efficiency and accuracy are improved.

The invention provides an industrial PLC code generation system and method based on artificial intelligence, and the system comprises an input module, a model optimization module, a code generation module and a deployment module, the input module is used for receiving and analyzing a natural language, a flow chart and an I / O configuration table, and generating a structured logic constraint; the model optimization module is used for supporting low-precision reasoning and dynamic expert network load balancing by adopting an artificial intelligence model of industrial control field data fine tuning; the code generation module is used for outputting PLC codes meeting industrial standards and supporting simulation verification and error correction; and the deployment module is used for downloading the generated code to target PLC equipment or integrating the generated code to engineering software. According to the industrial PLC code generation system and method based on the artificial intelligence, a tool for generating the PLC code based on the natural language of the artificial intelligence is provided, the code development efficiency is improved, and the error rate is reduced.

The invention discloses a multi-modal large model automatic evaluation method and system based on Agentic Workflow, relates to the technical field of artificial intelligence model evaluation, and solves the technical problems that an existing large model evaluation method lacks image-text evaluation, is relatively high in subjectivity and is easy to cause illusion. The method comprises the following steps that S1, an input task is analyzed, and a structured task template is generated; s2, generating a multi-round multi-modal task flow chart based on the task template generated in the step S1; s3, based on the flow chart in the step S2, distributing the multi-modal large model component to each task node, executing a task and obtaining an intermediate result; s4, performing multi-dimensional scoring on the intermediate and final results in the step S3 by a plurality of scoring Agents, and fusing to generate an evaluation result; and S5, generating a feedback report based on the process data in the steps S1 to S4, identifying a model short plate, and providing an optimization suggestion. The method has the advantages of comprehensive evaluation of multiple modes, real-time feedback optimization and the like.

The invention provides a laboratory detection task intelligent allocation method and system based on big data, and relates to the technical field of laboratory management, and the method comprises the steps: collecting detection task data, carrying out the detachable analysis to construct a collaborative flow chart, calculating a collaborative efficiency index and a task priority, and extracting personnel collaboration features to generate an association weight matrix; and allocating task queues by adopting a double-layer adaptive task allocation algorithm, performing density peak clustering on the first layer to divide task clusters, and optimizing an allocation scheme in combination with personnel ability and cooperative affinity on the second layer. According to the invention, the distribution efficiency and cooperation quality of complex laboratory detection tasks are improved.

The invention discloses a cross-system data collaborative driving workflow full-link approval method and system, belongs to the technical field of workflow management, and aims to solve the technical problem of how to realize cross-system data collaborative driving and cover a workflow full-link approval method and process. Comprising the steps that a system architecture composed of a unified workflow engine, data collaboration middleware and a plurality of service systems is built; drawing a cross-system workflow full-link approval flow chart in the unified workflow engine; by means of data collaboration middleware, a collaboration mapping relation of all service systems is established, and data format conversion, extraction and integration operations are automatically executed in process execution; and the unified workflow engine generates a process instance, notifies a service system of a subsequent approval node through the data collaboration middleware, sends an approval task to the corresponding approval node, transmits related data through the data collaboration middleware, notifies related personnel, and records various information in a full-link approval process execution process in real time.

The invention belongs to the technical field of business process analysis, and discloses an agent-based industrial software demand acquisition and analysis method and system, and the method comprises the steps: constructing a multi-agent-based demand analysis system; converting user multi-modal input into a structured industrial software demand by using a multi-agent-based demand analysis system; and generating a business flow chart conforming to the BPMN standard according to the requirements of the structured industrial software. According to the invention, the multi-agent system is combined with the demand analysis task, so that efficient and accurate demand analysis is realized, and powerful support is provided for project planning and implementation in the new industrial era.

The invention relates to the technical field of process control, in particular to a radiation environment laboratory full-process traceable system and a processing method.According to the radiation environment laboratory full-process traceable system and processing method.By executing timestamp sequence extraction, attribute difference screening and path structure decomposition operation on detector records and shielding cover logs, causal, time sequence and role attachment relation edges between nodes are established; and classifying attribute values to construct a unified mapping set, converting the multi-source heterogeneous data into a flow chart structure with relevance, executing node embedding operation through a graph attention network algorithm, and performing adjacent node feature weighted aggregation and edge weight screening processing based on an embedding result. And calling a Tarjan strong connected component algorithm to analyze a node branch structure, identifying a heterogeneous sub-graph in a flow path by branch index difference, executing priority ranking and task insertion actions in combination with the number of available tokens and lead plate thickness grade parameters, and generating a dynamic scheduling sequence under a multi-task coexistence condition in a control path.

The invention discloses a visual process automatic layout method based on dependency graph optimization, and relates to the technical field of visual layout optimization, and the method comprises the following steps: S1, carrying out the global scanning of an overall dependency graph, employing a self-adaptive structure entropy algorithm, extracting the connectivity and path span information of each node, and constructing a structure bit order vector of the connection strength between the nodes; according to the method, low coupling dependence is identified through structure bit sequence vectors and semantic confidence scores, spatial distribution of weak connection subgraphs is optimized by combining a field model and repulsive force, path smoothness and layout stability are ensured through dynamic path adjustment and local simulation optimization, and visual hierarchy definition is improved through hierarchy consistency verification and global correction. According to the scheme, the readability and interactivity of the flow chart and the stability and adaptability in dynamic updating and industrial application are remarkably enhanced.

The invention provides a task execution method and device and electronic equipment, and the method comprises the steps: carrying out the intention recognition of a task processing request, extracting a plurality of pieces of task key information, and constructing a task semantic map based on the plurality of pieces of task key information; constructing an execution flow chart based on the execution dependency relationship and the execution path of each node, and adding metadata information of the node in each node in the execution flow chart to obtain the execution flow chart added with the metadata information; and performing task execution based on the execution flow chart added with the metadata information, and determining an execution result of the task processing request. The execution flow chart constructed based on the task semantic graph not only clarifies the execution dependency relationship and path of each node, but also provides an execution index for node execution by adding metadata information, so that high automation of task execution is realized, and the accuracy and execution efficiency of the automatic task execution process are greatly improved.

The invention discloses a templated business process management method, and relates to the technical field of enterprise management.The method comprises the steps that repeatable task units in a business process are represented and packaged into function components capable of being configured in a draggable mode, combined arrangement is conducted in a visual working area template, and process construction is conducted from the development coding level to the development coding level; according to the technical scheme, the method sinks to a configuration level which can be understood by business personnel, in the step of creating the visual workflow template, when the working area templates bearing specific tasks are bound with process nodes, separation and standardized packaging of business logic and execution logic are achieved, and various working area templates are predefined through a graphical interface; the node function assembly can be quickly completed only by quoting the templates in the flow chart, the defect that each node needs to be independently developed or written in a traditional mode is overcome, and the core defects that in the prior art, flow construction is complex, the reuse rate is low, and the method excessively depends on technicians are overcome.

The invention provides a SysML model construction method, a SysML model driven design model construction method and a SysML model driven design model construction system. The SysML model driven design model construction method comprises the following steps: obtaining a first system model, a first equipment model and a process model; the first system model, the first device model and the process model are described based on a meta-model extended from SysML semantics; constructing a design model according to a conversion rule, the first system model, the first equipment model and the process model; wherein the meta model extended from SysML semantics can be used for identifying information used for constructing the design model; the first system model is used for describing a system for constructing the design model; the first equipment model is used for describing equipment for constructing the design model; and the flow model is used for constructing the design model comprising a pipeline and instrument flow chart.

The invention relates to a client work order management method and system based on intelligent template dynamic configuration, and the method comprises the following steps: S1, obtaining a business demand document, historical work order data and a field rule library, extracting all business scene universal fields, and storing the universal fields in the field rule library; s2, constructing template metadata according to the field rule base; s3, dynamically generating a work order instance; s4, after the work order is generated, the whole work order processing cycle is driven according to the flow rule, and each work order node and operation action are dynamically executed according to the template flow chart configuration; and S5, regularly and automatically counting the field utilization rate, common process bottlenecks and high-frequency branches through data analysis, generating template optimization suggestions in combination with user feedback and user satisfaction survey data, automatically classifying new problem descriptions by the system according to a pre-trained machine learning model, recommending the most suitable template, and finally, carrying out data analysis on the new problem descriptions. And a work order dispatching strategy is optimized in combination with historical efficiency data. According to the invention, high flexibility and intelligence of work order management are realized.

The invention relates to a method for generating an overall Pamp based on a three-dimensional model. The invention discloses an ID graph system and method, and the system comprises a processor which comprises an extraction module, a symbol mapping module, a relation construction module and a layout module. The extraction module is used for analyzing a designated area of the three-dimensional model and extracting a three-dimensional symbol type and a topological relation of the three-dimensional model; the symbol mapping module is used for establishing a mapping relation table of the three-dimensional symbol types and the two-dimensional symbol types based on the three-dimensional symbol types and a mapping rule so as to retrieve the two-dimensional symbol types based on the three-dimensional symbol types; the relation building module is used for building a logic diagram data table based on the topological relation so as to store the connection relation and the sequence relation; the layout module is used for carrying out two-dimensional symbol layout based on the two-dimensional symbol type and the three-dimensional symbol type to form a complete Pamp; and an ID graph. According to the invention, the traditional Pamp is abandoned; according to the thought of generating the complete flow chart on the ID, the efficiency is improved by intelligently extracting the information topological relation of the model and combining the user-defined symbol mapping rule.

The embodiment of the invention provides an industrial monitoring method and device, electronic equipment and a medium. According to the embodiment of the invention, the data model and the algorithm program of the industrial project are obtained, and the algorithm program is analyzed to generate the algorithm flow chart, so that the monitoring parameters in the data model and the program variables in the algorithm program are accurately bound based on the variable binding address. In the execution process of the industrial project, the real-time data of the monitoring parameters are dynamically mapped to the corresponding program variables in the algorithm flow chart, and the corresponding target flow chart nodes in the algorithm flow chart can be determined and marked according to the actual execution state of the industrial project, so that the operation and maintenance threshold is reduced, the automation level of industrial monitoring is improved, and the industrial monitoring efficiency is improved. Problems in the production process can be found and solved in time, and finally the stability and efficiency of industrial production are improved.

The invention provides a feedback information generation method and device, and relates to the technical field of artificial intelligence, in particular to the technical fields of large models, automatic driving, intelligent traffic and the like. According to the specific implementation scheme, the method comprises the steps of determining an application field of current query information and a target component set associated with the application field; inputting the current query information and the target component set into a large language model, and generating a function component calling flow chart; and the execution function component calls the action instruction sequence corresponding to the flow chart to generate feedback information. According to the mode, the accuracy and efficiency of generating the feedback information are effectively improved.

The present invention relates to the field of pipeline configuration and discloses a method for generating a process pipeline and instrument flow chart of an equipment, which is suitable for execution in a computing device. The method comprises the following steps: in response to receiving a drawing request for drawing a process pipeline and instrument flow chart, obtaining target interface information of one or more interfaces from a machine requirement table, the target interface information including flow information and interface information, the interface information including interface size; determining the pipe size of a branch pipe connected to each interface according to the target interface information of each interface; determining the access mode of connecting the branch pipe to the system according to the pipe size of each branch pipe and the interface information of the system to be connected; and generating a process pipeline and instrument flow chart of the equipment according to the pipe size of the branch pipe and the access mode of connecting the branch pipe to the system.

The invention discloses a data processing method and device based on software testing and a program product. The method relates to the field of software testing or financial science and technology, and comprises the following steps: acquiring all test elements of to-be-tested software to obtain a test element set; classifying the test elements in the test element set to obtain a classification result; obtaining a business processing flow of the to-be-tested software to obtain business flow data; based on the classification result and the business process data, a test flow chart is generated, and the test flow chart is used for providing services for compiling test cases. By means of the method and device, the problem that in the related technology, in the testing process of a complex tested system, the coverage range of a compiled testing case in the tested system is small, and consequently the testing result is inaccurate is solved.

The invention discloses a visual compiling system for cloud intelligent screen operation chain tracking, and relates to the technical field of intelligent office systems.The system comprises an operation chain logic modeling module, a visual interaction configuration module, a compiling deployment execution module, an abnormity intelligent diagnosis module and a repairing scheme closed-loop module. A structured logic graph is generated and converted into a visual flow chart, runnable codes are automatically generated and deployed, abnormity is accurately diagnosed, an adaptive repair scheme is generated, and whole-process closed-loop management is formed; according to the method, full-process automation from operation collection to code generation is realized by integrating an automatic process module, a structured graph is constructed by relying on a logic dependency algorithm, a configuration threshold is reduced by combining a visual interface, differentiation and offline deployment are supported, the development period is shortened, the maintainability is improved, and meanwhile, the development efficiency is improved. And an anomaly diagnosis and repair closed-loop mechanism accurately locates an anomaly root, a reliable repair scheme is generated, the manual troubleshooting cost is reduced, and the fault response efficiency is improved.

The invention discloses a multi-module collaborative enterprise management intelligent decision-making method and system, and relates to the technical field of enterprise management. The method comprises the following steps: integrating business modules, extracting entity nodes, and connecting the entity nodes into a flow chart according to a business flow direction; measuring points are arranged at nodes through an industrial interface, real-time and historical data and equipment start-stop and over-limit events are collected, and a data set is obtained through time alignment; identifying abnormal data; carrying out anti-fact expansion on the abnormal data based on the flow chart; performing multi-path parallel reasoning by combining original and anti-factual data; and carrying out collaborative consistency analysis on the multiple groups of results to obtain a collaborative intelligent decision result. The technical problems of data isolation among multiple service modules in enterprise management and difficulty in real-time monitoring and quick response to production abnormity are solved, and the purposes of performing multi-agent collaborative decision making by constructing a process-driven enterprise knowledge graph and combining real-time data and anti-fact deduction and improving enterprise management efficiency are achieved. The enterprise decision-making efficiency is improved; the resource configuration is optimized; and the production collaboration is enhanced.

The invention belongs to the technical field of enterprise business management, and discloses an integrated enterprise business full-process digital management system and method. The method comprises the following steps: collecting various business data and mutual relation data of an enterprise; establishing an enterprise business flow chart based on each business data of the enterprise and the mutual relation data; carrying out digital processing on the enterprise business flow chart to obtain a digital composite active wave; performing parameter optimization on the digital composite active wave to obtain an optimized composite wave; the optimized complex waves are converted into executable instruction sequences, the executable instruction sequences are distributed to corresponding execution departments and personnel, and automatic execution and monitoring of the business process are achieved; and the business process is subjected to fine management, so that customer requirements are better met, the service quality is improved, and the market competitiveness is enhanced.

The invention provides an aircraft cockpit man-machine interaction task complexity obtaining method and device. The method comprises the steps that man-machine interaction tasks needing complexity evaluation are determined; performing step decomposition on the task according to a flight manual; drawing a task action flow chart according to the specific steps of the task; determining input and output nodes, the number of the input and output nodes, an action type, a time type and a decision type of each node; calculating task step logic complexity; calculating task step scale complexity; calculating task step operation complexity; calculating task step time complexity; task step decision complexity is calculated; calculating a weight factor of each complexity in the total complexity; and calculating the total complexity. According to the method, the task complexity and the expected man-machine interaction behavior in the flight process can be quantitatively described, and the problem of relatively high subjectivity in the previous model workload evaluation work is solved.

The invention relates to the field of intelligent flow chart design, in particular to an automatic sorting method for process equipment in a factory intelligent flow chart. According to the method, a calibrated father-son equipment relation in an intelligent process is innovatively introduced, terminal equipment searches an ancestor equipment branch set, transverse branch process sorting and longitudinal hierarchical sorting are perfectly fused according to the concept of primary and secondary relation, genetic relationship sorting and equipment hierarchy, connection information of the equipment in the process is accurately presented, and the intelligent process is realized. And the clearness of the equipment association relationship is ensured. Although the function is simple, complex sorting logic and professional factory technological process knowledge are deeply fused, and the problem that in the intelligent flow chart design process, time and labor are consumed due to manual sorting of equipment lists is effectively solved by means of the idea that complexity is changed into simplification. According to the method, designers can concentrate on deep ploughing process technical scheme design, the design quality and efficiency are remarkably improved, and a foundation is built for comprehensive popularization of digital design.

The invention provides an automatic interface testing method for a webpage application, and relates to the technical field of testing. According to the method, an interaction flow chart of a graphic interaction interface of a to-be-tested webpage application program is obtained and displayed in a preset drawing interface; in response to a selection operation which is input through the preset drawing interface and aims at a target interaction node in the interaction flow chart, generating a target interaction flow from a starting interaction node on a target interaction flow branch where the target interaction node is located to the target interaction node; according to the interaction configuration information of each interaction node on the target interaction process, generating a test case of the target interaction process; environment configuration information of the preset test scene is injected into the test case, and an automatic test script of the target interaction process is generated. Therefore, the test efficiency is improved.

The invention discloses a function enhancement method based on an activiti workflow engine, and the function enhancement method comprises the following steps: inheriting a DeFaultActivityBehaviorFactoryMappingConfiguer class, and carrying out the monitoring enhancement on the overall situation of the activiti; a core command mechanism of the Activiti is rewritten, so that the functions of randomly returning and randomly skipping the process which is not supported by the original are realized; a set of pluggable form construction factory mechanism is constructed; through an algorithm and data processing, a complex BPMN flow chart is converted into a linked list view which is easy to understand by business personnel, and future path prediction is provided; by customizing a multi-instance behavior of Activiti, real-time statistics of a passing number and a rejection number is added for a countersigning node, and countersigning judgment logic is realized. A future approval path prediction function based on an approval history linked list view and a recursive algorithm is realized, and understanding and decision support of business personnel on a process are remarkably improved.

The invention relates to a method and a system for generating different product production process flows. The method comprises the following steps: creating a process flow group in an enterprise resource planning system; performing group class setting on the created process flow group to obtain a process flow group subjected to group class setting; determining a process flow chart on an editing flow chart page corresponding to the process flow group subjected to group class setting; adding preset production process specification data into the process flow chart to generate a process flow chart of the to-be-produced commodity; and storing the process flow chart of the to-be-produced commodity into a database of an enterprise resource planning system, inputting the commodity, and calling out the corresponding process flow chart to guide commodity production. According to the method, common process flows can be classified and templated by creating the process flow groups and setting the group classes, so that the consistency of production process execution is ensured, and standardized management of the production flows is realized.

The invention provides a spacecraft fault handling flow chart construction method and device and an executable script generation method and device, and can be applied to the technical field of computers. According to the spacecraft fault disposal flow chart construction and executable script generation method and device provided by the embodiment of the invention, the fault disposal process is described by adopting the state nodes, the fault disposal process is bound in a graphical manner, the fault disposal process is visually displayed, the operation is easy, the binding correctness of the fault disposal process is conveniently checked, and the fault disposal efficiency is improved. According to the fault disposal process description method based on the structured text, a starting node serves as a starting point, an ending node serves as an ending point, a node relation network is traversed according to a connection relation, graphical nodes and the relation network are converted into a fault disposal process structured description text, and the fault disposal process description text is converted into a fault disposal program. And the spacecraft fault can be automatically handled.

The invention relates to the technical field of algorithm arrangement, particularly provides a zero-code visualization AI algorithm arrangement method, system and equipment and a medium, and aims to solve the problems that project customization development through AI algorithm arrangement is relatively long in time consumption, has certain operation difficulty and is not visual enough. In order to achieve the purpose, the zero-code visualization AI algorithm arrangement method comprises the steps that a project flow chart created by a user based on a visualization canvas and resource nodes is obtained, and the resource nodes are used for providing data sources, AI algorithm services and logic rules; performing anomaly detection on the project flow chart; and in response to the detection result being normal, converting the project flow chart into a project decision model based on preset execution logic. Through the method, the operation threshold of the user is effectively reduced, and the efficiency of project customization development is improved.

The invention provides a method and system for realizing serial execution of task streams, and belongs to the technical field of software development, the method comprises the following steps: adding task nodes and task links, and constructing a task flow chart; environment information and parameters required by task execution are used as an execution context, and initialization is carried out; when the task needs to be changed, the task flow chart is updated; and scheduling and executing the task according to the task flow chart, and updating an execution context according to an execution result. Task nodes and task links can be changed in time according to service requirements to adapt to different service scenes, different execution modes are adopted by distinguishing task types of synchronous and asynchronous tasks, and normal operation of the system in different task scenes is ensured.

The present application relates to a kind of based on resource constraint assembly process flow planning method, it solves the current mode to production information collection, analysis requirement high, inefficient, scheduling cycle is long, response is slow, and it does not have foresight, the problem of lag assembly process.It includes the following steps: step 1: resource statistics;Step 2: process carding;1) carding each process required resource;2) carding each process required time;3) carding the absolute time sequence between process, and draw flow chart according to shortest time logic;Step 3: station content design;Step 4: system building;Step 5: digital simulation;Step 6: data collection and feedback;Step 7: bottleneck resource reserve;Step 8: iteration update;Step 9: system scheduling.The present application reduces the waiting time caused by production resource limitation, makes the existing resource play to the maximum effect, can effectively improve production efficiency, realizes assembly process flow planning based on resource constraint.

The invention provides a trusted agent generation method and system for enterprise full-flow digital marketing, and the method comprises the steps: obtaining the marketing execution flow data and user behavior data of an enterprise, and constructing a marketing flow chart and a user state machine; establishing a marketing agent structure based on the marketing flow chart and a user state mechanism, and generating a legal action set; scheduling and executing the legal action set of the marketing agent structure, and generating an action set which is actually successfully executed and a corresponding scheduling score; and performing structured recording and auditing tracking on the action set which is actually and successfully executed. The core problems that a traditional system intelligent agent is uncontrollable, behaviors cannot be checked, and the state cannot be known are solved.