52 results about "Flow process chart" patented technology

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 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 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 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 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 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 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 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.

The invention discloses an optimization method for slow loading of a process flow diagram of a ship system. The method specifically comprises the following steps: S1, reading and caching the process flow diagram; carrying out cache management on the read process flow diagram; s2, managing the cached process flow diagram, and selecting a specific process flow diagram by reading and displaying the cached process flow diagram; s3, selecting a specific process flow diagram, and carrying out initialization loading on the selected process flow diagram; and completing loading and updating of the process flow diagram. Through system loading, flow chart cache management and interface container loading, the method is used for solving the problem of slow display of the flow chart of the propagation system, and the method comprises the steps of loading the flow chart in advance, increasing the loading speed of the flow chart, increasing the data refreshing speed, increasing the efficiency of opening the flow chart interface, avoiding jamming of a plurality of flow charts, and improving the display efficiency of the flow chart. Content disorder of a flow chart interface is avoided.

The invention relates to a logic verification method and device for a workflow chart, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-verified workflow chart, and performing topological structure verification on the workflow chart; in response to the fact that the topological structure passes verification, topological sorting is conducted on nodes in the workflow chart, and a node sorting list is generated; multiple input nodes are recognized in sequence according to the sequence of the nodes in the node sorting list; wherein the multiple input nodes refer to nodes with the number of relation edges on the input side being multiple; and verifying whether the trigger logic of each multi-input node is correct, and judging that the workflow chart passes the verification in response to the correctness of the trigger logic of each multi-input node. By adopting the method, before the workflow engine executes the workflow chart, the arrangement rationality of the workflow chart can be automatically verified in advance, and the efficiency and accuracy of the workflow engine in the execution process are improved.

The invention discloses a workflow automatic layout method based on topological sorting and dynamic adjustment, which comprises the following steps of: analyzing input data, constructing a workflow directed graph of modules and a connection relationship thereof, constructing an adjacency list and an in-degree list based on the workflow directed graph, and then hierarchically dividing the modules by using an improved topological sorting algorithm, and dynamically calculating the coordinate position of each module in the canvas in combination with canvas boundary constraint and minimum spacing limitation, finally outputting JSON data containing complete layout information of each module, and realizing flow chart drawing in combination with a front-end visualization technology. According to the scheme, the problems of low manual layout efficiency, node omission, layout chaos and the like caused by loop dependence in a traditional layout algorithm are effectively solved, and the method has a good visualization effect and high adaptability and can be applied to automatic layout and scene generation of the flow chart of modular systems such as a software system, a micro-service architecture and a low-code platform.

The application discloses a kind of based on intelligence calculation interconnection architecture computing power service decomposition method and system, the method is by receiving and analyzing service work order, matching predefined service rule to determine decomposition strategy;At the same time, real-time acquisition includes the bottom resource state of high-speed interconnection performance data, constructs global real-time resource topological atlas;Further, based on service rule and resource atlas, service target is dynamically decomposed into a series of atomic flow links and generates quantified resource demand portrait;Subsequently, using the joint optimization algorithm with the goal of minimizing total completion time, adaptively allocate computing nodes for each link, generate dynamic service execution flow chart;Finally, drive flow chart execution and monitor in whole cycle, dynamically trigger rescheduling according to performance deviation or resource change.Dynamic service execution flow chart is generated, and the joint optimization algorithm with the goal of minimizing total completion time is used to adaptively allocate computing nodes for each link, so that the real-time optimal matching between service demand and heterogeneous computing power resources is realized, and the computing efficiency and system resilience are improved.

This invention relates to the field of production process control technology, specifically disclosing a method and system for full-process control of fiber-faced gypsum board production. The method includes acquiring a production flow chart, querying the participating entities in each process of the production flow chart, and determining a monitor based on the participating entities; receiving production data within a preset time range obtained by the monitor, identifying the production data, and determining the anomaly degree of each participating entity; statistically analyzing the anomaly degree of each participating entity to obtain an anomaly array, and locating the anomaly entity based on the anomaly array. This invention inserts intelligent devices into the production line based on the production flow chart. The intelligent devices acquire data in real time during the production process, analyze the data, determine the status of each production device, and thus identify the anomaly entity. This process only requires staff to pre-set some parameters; in actual use, no manual intervention is required, resulting in a high degree of automation and efficiency.

The invention relates to the technical field of process processing, and provides a process generation and circulation method and device, electronic equipment and a storage medium. The flow generation and circulation method is suitable for processing services in a service system, and comprises the following steps: generating a service flow chart comprising at least two flow nodes in response to user operation, and determining circulation conditions among the flow nodes; based on a corresponding relationship between each process node and each processing state of the service, binding each process node with the corresponding service processing state to generate a service process; and in the flow node circulation process of the service flow, switching the processing state of the service system to a service processing state corresponding to the current flow node, and processing the current flow node by a service processor corresponding to the service processing state. When the business process is constructed based on the business of the business system, the process configuration process can be simplified, the process configuration complexity is reduced, and the process construction efficiency is improved.

The invention provides a large model feedback optimization system and method based on process identification and tool calling. The method comprises the following steps: S1, converting received input data into semantic vectors and inputting the semantic vectors into a large model; s2, enabling the large model to output an intention label, and carrying out semantic matching on the intention label and a preset business flow chart; s3, according to a semantic matching result and a task node sequence of the flow chart, gradually scheduling and executing a corresponding tool function; s4, recording the behavior of each time of tool calling, and forming a tool calling track chain; s5, evaluating the rationality and correctness of the tool calling track chain based on a reward model, and outputting an evaluation result; and S6, finishing fine adjustment of the main model according to the evaluation result. According to the method, the user intention can be automatically identified, the tool call chain can be called, the model is optimized in combination with the execution result and the evaluation result of the reward model, and illusion problems such as false call and assume execution of a large model are effectively reduced.

The invention discloses a rail transit comprehensive monitoring system human-computer interface editing tool and a logic control method. The editing tool comprises an equipment point table analysis module, a comprehensive monitoring application configuration module and a logic control modeling module. The equipment point table analysis module is used for reading and analyzing the standardized equipment point table and generating a rail transit equipment model meeting the standard through an automatic analysis algorithm; the comprehensive monitoring application configuration module is in communication connection with the equipment point table analysis module and is used for automatically generating a visual component according to the rail transit equipment object model and realizing bidirectional data binding between the visual component and the rail transit equipment object model, and the visual component comprises a dynamic state icon, a control panel and an interactive animation; and the logic control modeling module is in communication connection with the equipment point table analysis module and is used for providing a visual logic modeling environment based on an event-condition-action rule and generating an equipment logic behavior flow chart. The method has the advantage that the rail transit operation demand change can be quickly responded.

The invention discloses a financial service execution method and device, electronic equipment and a storage medium, and relates to the field of financial science and technology or other related fields, and the method comprises the steps: receiving a financial service demand in a natural language form, and carrying out semantic analysis to obtain a semantic analysis result comprising a service target, a constraint condition and an operation instruction; performing structured processing on the semantic analysis result to obtain a semantic feature vector comprising a business scene classification identifier, an operation priority mark and a risk control level parameter; according to the semantic feature vectors, matching business processing components from a preset financial business component library, and sorting and combining the matched business processing components according to operation priority marks to generate a business process topological structure; and executing the target financial service based on the service process topological structure to obtain a financial service response result. Through the method and the device, the technical problem of low service response speed caused by tedious configuration of the service flow chart in related technologies is solved.

The invention relates to the technical field of computer software, and discloses an agent commission calculation system based on a reconfigurable data stream, comprising a visualization module which receives a commission calculation flow chart formed by a business personnel dragging a preset component through a graphical interface, compiling the calculation pipeline blueprint into a calculation pipeline blueprint containing a processing unit list and a topological connection relation; the pipeline assembly module is used for matching a target blueprint according to a commission calculation event of a business system, and dynamically assembling calculation pipeline instances connected by the instantiation processing unit according to a topological relation according to the blueprint; and the streaming execution module inputs the service data into the instance, drives the data to flow along the connection relationship in the instance, and outputs a commission result, thereby realizing the visual configuration and real-time dynamic execution of the commission calculation logic of the small virtual operator with flexible and changeable services. The problems that a traditional system is difficult in rule change, high in response delay and high in technical dependence are solved.

The invention discloses an MOM scene component recognition method, system and device based on a dynamic chain type flow and a medium, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: obtaining a natural language demand of a user in a current MOM scene, carrying out the analysis of the natural language demand, and constructing a corresponding dynamic chain type flow chart; scene unit identification is carried out according to the dynamic chained flow chart, at least one scene unit is obtained, and the scene unit is a reusable minimum service action logic unit; for each scene unit, a corresponding scene unit description model is constructed according to the scene unit, and the scene unit description model is used for representing the scene attribute of the scene unit; and for each scene unit, matching the scene unit description model in a historical component library based on a predefined matching rule, and determining a corresponding implementation component. The method has the effect of improving the development efficiency of the MOM system.

The invention discloses a three-dimensional geographic space data visualization low-code construction method and system based on a flow model, and the method comprises the steps: a front-end interaction layer is used for providing a flow model construction graphical editing interface, and generating page structural description data; the middle conversion layer is used for converting the multi-source heterogeneous spatio-temporal data into a target format; the back-end service layer is used for managing the user data and the converted multi-source heterogeneous spatio-temporal data; the three-dimensional rendering layer is used for analyzing flow model graph structure data, fusing standardized data and a geographic space engine, and generating a visual page dynamically superposed with a real terrain; and the expansion interface layer is used for injecting the multi-source spatio-temporal data into the intermediate conversion layer and providing a rendering engine expansion interface. According to the method, all links of three-dimensional geographic space visualization are converted into a draggable and connectable transparent flow chart by means of a flow model, a black box is eliminated, and the configuration complexity is reduced; through cooperation of multi-level indexing and layered rendering, massive heterogeneous data are dynamically superposed on a real terrain and are always smooth.