32 results about "Workflow model" patented technology

A system for improving employee engagement and automating the integration of business processes. The system includes: a user interaction module configured to receive multimodal inputs, including natural language text and voice requests from employees via enterprise portals, mobile applications, voice-activated devices, and collaboration platforms, and to generate real-time responses via conversational output channels; a context processor that is operationally coupled with the user interaction module, wherein the context processor stores the interaction history, employee preferences, organizational role metadata, and task results in both short-term and long-term memory and dynamically derives context for controlling responses and initiating workflows; A natural language and intent processor that is communicatively linked to the context processor. The intent engine consists of large language models trained on company-specific lexicons to perform intent detection, entity extraction, ambiguity resolution, and sentiment or urgency classification from employee queries; a workflow orchestration layer in communication with the intent engine and the context processor, wherein the workflow orchestration layer includes a rule-based and AI-powered process execution engine configured to automatically initiate, route, and complete cross-functional business tasks, including approvals, escalations, and compliance checks, with workflows defined using modular templates that include conditional logic and time-based triggers; Webhooks and authentication protocols provide secure interoperability between the workflow orchestration layer and external enterprise platforms; a feedback and learning module that is operationally coupled with the workflow orchestration layer and the natural language understanding engine, wherein the feedback and learning module is configured to analyze task completion rates, response accuracy, latency metrics, and user feedback signals, and to retrain underlying language and workflow models for adaptive improvement in real time; and an administration console with role-based access controls, compliance dashboards, audit trails and interfaces for workflow configuration, whereby the administration console enables authorized personnel to monitor system operations, adjust interaction rules and enforce data protection restrictions across departments.

The invention discloses an enterprise production management method based on digital twinning and workflow simulation, and particularly relates to the technical field of industrial internet and intelligent manufacturing, and the method comprises the steps: constructing a physical production system digital twinning body and business process workflow model, and carrying out the dynamic association through a model fusion engine to form an integrated digital twinning model; real-time event driving is used for deducing and simulating a future production process, and bottleneck and conflict prediction is output; based on the prediction result, utilizing a multi-objective optimization engine to generate a plurality of alternative scheduling schemes; performing parallel simulation quantitative evaluation on the KPI of each scheme, selecting an optimal scheme, analyzing the optimal scheme into a control instruction, and issuing and executing the control instruction; and model self-correction and closed-loop optimization are realized through real-time monitoring and feedback. According to the method, the problem of service and physical state disjunction caused by digital twinning and workflow independence is solved, the whole-process closed-loop management from prediction to execution is realized, and the production self-adaption and intelligent level is improved.

The invention discloses an operation planning optimization method, system and device for resource allocation, a storage medium and a product, and relates to the technical field of resource allocation and optimization decision, and the method comprises the steps: collecting resource related data; through a pre-trained resource allocation large model, based on the constraint condition and the target function, outputting an operation planning optimization formula matched with the current service scene; based on the workflow arrangement mode, performing service logic definition and workflow node visualization processing on the service demand information to obtain a workflow execution model; executing operation planning optimization calculation according to the resource related data and an operation planning optimization formula to obtain an optimal solution set, and fusing a workflow model to generate a decision variable; and calling a decision engine to carry out variable replacement, and generating a resource allocation strategy. According to the scheme, large model modeling and operation planning optimization capabilities are fused, the modeling threshold is reduced, and the intellectualization, data driving and interpretability of a resource allocation decision are improved; and meanwhile, in combination with a workflow dynamic management mechanism, intelligent optimization decision making is realized.

A method includes receiving an event tracking query for a patient health care transaction from a requestor; receiving state transition updates for the event from ones of a plurality of different transaction processing entities that are independently controlled with respect to each other; mapping the state transition updates to a representational workflow model, which defines a plurality of tracking states; generating an event tracking result based on the mapping of the state transition updates to the representational workflow model and the plurality of different transaction processing entities; and communicating the event tracking result to the requestor.

A workflow scheduling fault-tolerant system based on a Watcher mechanism of a ZooKeeper comprises the ZooKeeper, the ZooKeeper is connected with at least one workflow executor and at least one workflow scheduler, and the ZooKeeper is further used for receiving a live event. The invention further provides a workflow scheduling fault-tolerant method based on the Watcher mechanism of the ZooKeeper and a workflow scheduling fault-tolerant system based on the Watcher mechanism of the ZooKeeper, and the workflow scheduling fault-tolerant method based on the Watcher mechanism of the ZooKeeper is characterized by comprising the following steps that the workflow scheduling fault-tolerant method comprises the steps that the workflow scheduling fault-tolerant method comprises the steps that the workflow scheduling The method comprises the following steps: S1, constructing a mapping relation between a workflow model and a ZooKeeper node; s2, task execution and state monitoring; s3, fault detection and processing; s4, fault recovery and task re-triggering; and S5, dynamic task adjustment and load balancing.

The invention provides a business workflow dynamic arrangement and optimization method based on a large model agent, and the method comprises the steps: (1) analyzing the features and operation logic of a multi-element business workflow, and defining a business workflow description language; and (2) decomposing a complex business process construction process, and providing a layered process modeling system to guide a large model agent to construct a workflow model. And (3) constructing a task execution queue based on the task dependency relationship, and dynamically executing and monitoring the workflow. And (4) according to the execution log of the business workflow, discovering the bottleneck, redundancy and abnormity of the workflow model by adopting a process mining algorithm, and proposing a process improvement and optimization strategy. And (5) constructing a collaboration framework of a plurality of large model agents, and realizing dynamic arrangement, monitoring and optimization of the business workflow. According to the method, the defects that the current business workflow construction depends on experience of designers, and effectiveness and function requirements are difficult to guarantee are overcome; the defect that the business workflow is difficult to adapt to dynamic demand changes is overcome.

A method for automatic visual workflow model generation and management is disclosed that utilizes multimodal inputs and user feedback. The method further comprises receiving, through a processor, descriptions using an advanced AI model, generating elaborate plans that visually organize sequential tasks. User feedback via natural language on these plans refines them, establishing connections between detailed plans and numerous sub-skills. The processor constructs a directed acyclic graph (DAG) visualizing sub-skill execution order based on the established mapping, culminating in an executable workflow model. The method further comprises seamlessly translating user descriptions into detailed plans, refine them iteratively, and generate an executable workflow model, all driven by user interactions and advanced AI techniques supporting natural language understanding and generation.

1. Name of the product in this design: Graphical User Interface for Chat Assistant and Workflow Model Application Development for Electronic Devices. 2. Purpose of this design: For use in the development and / or interface display of chat assistant and workflow large-scale application programs. 3. The key design features of this product are the graphical user interface content on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The design for which protection is sought includes color. 6. Purpose of the graphical user interface: This product is a human-computer interaction interface used for chat assistant and large-scale workflow application development; the main view is the main interface; the left side of the main interface is the menu bar, and the right side is the data display and operation area. Clicking "Paper Interpretation" in the data display and operation area on the right side of the main interface will enter the interface change state diagram 1; clicking the "Monitoring" button in the menu bar on the left side of the interface change state diagram 1 will enter the interface change state diagram 2.

An example system includes a processor that is used to monitor a user interface to generate an activity log including a step flow. The processor is used to extract features and common variables from unstructured data in the activity log and generate structured log events based on the extracted features and common variables. The processor generates a workflow model based on the structured log events. The processor automates or assists the workflow based on the generated workflow model.

The invention discloses a digital archive micro-service system based on mobile target defense, and the system comprises a digital archive workflow generator which automatically designs a workflow model meeting the demands of a user according to a submitted application; the micro-service application set is used for storing the micro-service application set corresponding to the digital archive management whole process; the heterogeneous running resource pool is used for storing virtual machines corresponding to the diversified operating systems; the mobile target defense scheduler schedules heterogeneous operation resources at a certain probability for different links of the digital archive workflow based on a mobile target defense thought to support service provision; the micro-service assembler assembles a micro-service application into the selected heterogeneous operation resources according to the output workflow model, and instantiation of a micro-service function is achieved; and the digital archive workflow monitor tracks the full-process operation of the archive workflow, and discovers and disposes abnormal micro-service applications in time. According to the invention, the security of the digital archive information system is improved.

The application provides a workflow processing method, device and equipment and a storage medium. The method comprises the following steps: determining the node type of a first function node to be executed according to the number of callback information configured in a plurality of function nodes in a workflow model and the execution sequence of the function nodes. If the first function node belongs to a first node type or a second node type, the target first execution result of a previous second function node is sent to the first function node when the target first execution result is acquired, and the target second execution result corresponding to the target first execution result output by the first function node is sent to a next third function node when the target second execution result is acquired. The node type corresponding to the first function node with a plurality of callback information configured is the first node type, and the function node with the execution sequence after the function node of the first node type belongs to the second node type. Through the scheme, the execution efficiency of the workflow model can be improved.

Systems and methods for automated software testing and test data set generation using workflow path monitoring and modeling are provided. The system includes a workflow path monitoring processor that executes a workflow monitoring software module, an artificial intelligence / machine learning ("Al / ML") software module, and a test script generation software module. The workflow monitoring software module monitors one or more workflow paths taken by a user using one or more software applications or platforms. The Al / ML module processes the one or more workflow paths monitored by the workflow monitoring software module and develops a workflow model for the software application or platform. The test script generation software module automatically generates one or more test scripts and / or test data sets based on the one or more monitored workflow.

The invention provides a collaborative office hierarchical management method and system based on a workflow model, and relates to the technical field of office management, and the method comprises the steps: constructing a hierarchical task scheduling framework based on a pre-constructed workflow model; obtaining office task data, adjusting a hierarchical scheduling rule in the hierarchical task scheduling framework according to the office task data, and generating an adjusted rule; based on the input terminal parameters in the hierarchical task scheduling framework, collecting and processing office task related data submitted or processed by each employee through a touch input device under the high-concurrency office task, and generating verification passing data; setting and adjusting bandwidth basic allocation logic according to task priority identifiers in the data passing verification, generating a bandwidth allocation result, and executing hierarchical management of office tasks by a target processing node of a hierarchical task scheduling framework in combination with the data passing verification and processing nodes and processing time limits corresponding to three pieces of task priority information. And refined hierarchical management of task processing in a high-concurrency office environment is realized.

The application provides a kind of workflow application management method and system for containerization environment, it is related to computer technology field.The method includes the following steps, the structured front-end object model is converted to by visual workflow model construction module with the drag operation of user;Front-end object model is serialized as JSON format file by static logic inspection;JSON format file is sent into template engine by templating code generation module;JSON format file is automatically converted into executable workflow drive file by template engine.The application solves the prior art workflow system usually adopts static script or fixed template to arrange task, realizes the automatic conversion from workflow design to execution code generation by visual workflow model construction module and templating code generation module, reduces the technical threshold of complex workflow construction, improves system development efficiency.

The invention discloses a seismic data interpretation automatic quality control method based on workflow engine three-layer modeling, and the method comprises the following steps: S1, building a seismic data interpretation project overall life cycle workflow model which comprises four stages: starting, planning, executing and ending; the execution stage comprises quality control stage formulation and quality check table generation; s2, setting quality control points of the whole process of the seismic data interpretation project; s3, customizing quality control points, and obtaining a quality control point time sequence combination through data modeling; s4, executing a time algorithm on the quality control point time sequence and the quality control process to generate a Gantt chart; s5, executing a distribution algorithm and parameters according to the quality control point time sequence combination to obtain a quality control distribution scheme; s6, quality control point auditing is completed; and S7, in the process of completing the quality control task, automatically generating a corresponding quality check table. According to the invention, seismic data interpretation projects can be completed efficiently, orderly, accurately and automatically; the method is suitable for the seismic exploration industry and is used for automatically completing seismic data interpretation projects.

The application discloses an enterprise production management method based on digital twinning and workflow simulation, and particularly relates to the technical field of industrial internet and intelligent manufacturing, and comprises the following steps: constructing a physical production system digital twinning and a business process workflow model, dynamically correlating to form an integrated digital twinning model through a model fusion engine, driving by real-time events, deducing simulation on future production processes, and outputting bottleneck and conflict prediction, generating multiple alternative scheduling schemes by using a multi-objective optimization engine based on the prediction results, selecting an optimal scheme and analyzing the optimal scheme into control instructions to issue and execute, and realizing model self-correction and closed-loop optimization through real-time monitoring and feedback. The application solves the problem of disconnection between business and physical state caused by independent digital twinning and workflow, realizes full-process closed-loop management from prediction to execution, and improves the production self-adaptation and intelligent level.

The application discloses a traffic research and judgment analysis platform management method based on an Activiti process engine, and comprises the following steps: S1. process modeling: using a process modeling tool provided by the Activiti process engine, defining a workflow model related to people, vehicles, roads and business processes; S2. process deployment: deploying the defined workflow model into the Activiti process engine; S3. process execution and monitoring: triggering the corresponding workflow according to actual needs and monitoring in real time; S4. process optimization and iteration: according to feedback and data analysis results in actual application, optimizing and iterating the workflow model. The application applies the Activiti process engine to the traffic research and judgment analysis platform, can significantly improve the management efficiency, accuracy and automation level of the platform, optimizes the business process, enhances the scalability and flexibility of the platform, and greatly improves the security and reliability of data.

The invention belongs to the field of workflow model establishment, discloses a workflow model establishment method supporting multiple tenants and a related system, and realizes unified consideration of multi-tenant isolation and sharing of a workflow model. The tenants are identified through mechanism codes, different branch mechanisms can establish process models based on a unified workflow modeling framework, meanwhile, the independence and safety of the branch mechanisms are guaranteed, and mutual interference of process definitions is avoided. According to the method, the consistency and the expandability of cross-mechanism process management are improved. The unified modeling method ensures that the branch mechanisms are consistent in the aspects of flow logic, node configuration, key data generation and the like, so that centralized management and control and overall optimization of the headquarters are facilitated. Meanwhile, unique codes are generated for different tenants and stored, and it is guaranteed that quick recognition and tracking can still be achieved during system expansion. According to the invention, multiplexing and maintenance of the process model are simplified.

The high-performance computing method of CALPUFF is realized based on workflow, which relates to the fields of atmospheric environment and computer processing technology. It solves the problems that the existing meteorological models have poor processing capabilities for abnormal situations, cannot support concurrency in calculations, have low computing efficiency, and are insufficient in analyzing and processing calculation results; and cannot support calculations for complex situations of multiple models, and can only solve single problems with a single script. The present invention is implemented based on an atmospheric model computing service system. According to the workflow model, a computing task is divided into multiple task nodes, which are completed one by one. This method integrates complex data, data analysis and processing, and realizes cloud service sharing. The atmospheric model computing service system of the present invention adopts a numerical simulation method to analyze the causes of atmospheric pollution under different climatic conditions and at different times within the range of the numerical model, and to identify the contribution rates of various pollution sources, various types of pollution sources, and each grid pollution source that affect atmospheric pollution, providing a decision-making support system for atmospheric pollution prevention and control.

The invention provides a multi-model fusion electronic data association and evidence chain construction method and system, a multi-model fusion layer comprises a technical battle model, an AI model and a workflow model, and a knowledge base support layer stores evidence elements, case types and a role association matrix; the multi-model fusion layer performs semantic alignment training and performs collaborative analysis to generate a triple; the evidence chain construction layer is used for performing entity matching association and entity linking, generating enhanced entities, reasoning implicit association and constructing an entity relationship network; the evidence chain construction layer aggregates evidence elements strongly associated with an analysis target into an evidence chain link, calculates a credibility score, calculates a comprehensive basic probability score of the analysis target, performs quantity gain weighting to obtain an evidence chain integral, performs closed-loop verification and integrity evaluation, and generates an evidence chain containing the evidence chain integral; and the output layer is connected with a downstream analysis platform system and visually displays the evidence chain. According to the invention, evidence chain credibility evaluation is realized, and integrity and leakproofness of the evidence chain are enhanced.

Systems and methods for automated software testing and test data set generation using workflow path monitoring and modeling are provided. The system includes a workflow path monitoring processor that executes a workflow monitoring software module, an artificial intelligence / machine learning (“AI / ML”) software module, and a test script generation software module. The workflow monitoring software module monitors one or more workflow paths taken by a user using one or more software applications or platforms. The AI / ML module processes the one or more workflow paths monitored by the workflow monitoring software module and develops a workflow model for the software application or platform. The test script generation software module automatically generates one or more test scripts and / or test data sets based on the one or more monitored workflow.

The invention relates to a multi-terminal scene arrangement and one-key linkage method and system based on workflow, and the method comprises the steps: enabling an intranet workflow control system to model scene elements into nodes of terminals, approval, actions and the like, building a directed acyclic graph (DAG) structure based on business logic, and compiling the structure into an executable workflow model; in response to a linkage instruction sent from the extranet control terminal through the one-way transmission link, the intranet system triggers the approval node to perform permission verification, executes engine scheduling workflow after approval is passed, and issues an action instruction to the corresponding terminal of the extranet through the other one-way transmission link; and the external network terminal executes a linkage playing action and returns a receipt through another one-way transmission link. Visual arrangement of complex logic is achieved through DAG modeling, and by combining a multi-link cooperation and approval mechanism in a physical isolation environment, efficient one-key linkage and automatic scheduling of multiple terminals are achieved, and safety of an intranet core control system is ensured.

An AI-driven robotic process automation system learns and replicates user workflows across web, desktop, and legacy applications using computer vision and machine learning. During training, the system observes user actions with visual and structural UI context, segments the sequence into reusable tasks, and synthesizes a generalized workflow model. At runtime, a hybrid locator fusing vision with DOM / accessibility metadata binds abstract actions to live controls, while a self-healing subsystem detects anomalies and applies recovery actions. A continuous learning loop updates models and task definitions from execution telemetry so automations remain effective as interfaces evolve. The result is resilient “learn-once, run-anywhere” automation that reduces brittle scripting and maintenance overhead.

The invention relates to a method and a platform for realizing human resource process management by utilizing a code-free technology based on an SAP system. The platform comprises a human resource workflow management platform building module, an approval workflow modeling module, a process management and state monitoring module and an after-approval downstream business triggering function module. The method realizes the code-free configuration approval process, drives the human resource business through the approval process, compresses the business operation period, and improves the business processing efficiency; according to the method, authority control of key sensitive data is enhanced, and a business process is flexibly defined, managed and executed, so that various subsequent businesses can be timely and accurately processed, and thus coordination and monitoring of activities of various functional departments of human resources are realized.

The invention discloses a Serverless workflow-oriented modeling and optimization method, which realizes modeling prediction on the overall execution condition of Fork-Join workflow application through key modules such as Fork-Join workflow modeling, execution time prediction, execution cost prediction and an optimization solving device based on user constraints, and minimizes the execution cost under the condition of meeting the execution time limitation. A user organizes a workflow graph by using a Fork-Join workflow model, an experimental device automatically collects execution time data under different configurations, offline modeling is performed, a key path of the workflow graph is calculated, and the configuration with the minimum execution cost is automatically solved after the execution time requirement of the user is received. The method has the advantages of being independent of suppliers, free of repeated charging, high in interpretability, high in universality and the like, is suitable for different Serverless platforms and workflow applications, can effectively describe execution information of the applications, and obtains reasonable configuration for application solution.

The invention discloses a workflow mining method for incomplete cross-organization logs based on a state diagram, which comprises the following steps of: extracting state diagram track information corresponding to cross-organization, and obtaining all state conversion relationships and adjacent activity pairs in the state diagram; traversing an incomplete cross-organization log, comparing each event in the log with a state conversion relationship in the state diagram and adjacent activity pairs one by one, and identifying and marking missing activities; then, on the basis of a state conversion relationship in the state diagram, supplementing missing activities, and generating a complete cross-organization log; extracting a cross-organization interaction rule in the complete log, identifying and recording a cross-organization effective interaction relationship, and constructing a cross-organization workflow net; and verifying the workflow net according to the completion accuracy and the rule consistency. According to the method, through introduction of the state diagram, the problems of fragmentation and missing of cross-organization logs are solved, incomplete logs can be accurately repaired, a high-quality cross-organization workflow model can be constructed, and support is provided for cross-organization process optimization.

The invention provides a Flowable-based method for providing flexible and efficient application auditing assistance for a PAP project, and the method comprises the steps: workflow model construction, business model construction, workflow writing and business function realization, a workflow model constructs a general model through Flowable, and the workflow model is used for meeting the workflow of different roles and different operations; the business model is constructed based on a workflow model, and the business model is used for satisfying the operation of different node business functions; in the workflow writing process, a Flowable workflow is defined based on a workflow model; a service function is realized based on a service model, different service requirements can be realized by different services, in the Flowable-based method for providing flexible and efficient application auditing assistance for the PAP project, functional modules are abstracted and flexibly arranged by using workflow, different PAP projects can be rapidly supported, and the method has the advantages that the method is simple and convenient to operate, and the application auditing assistance efficiency is improved. Therefore, the project period is shortened, and an assistance applicant can be helped in time.

The present invention relates to a distributed security situation intelligent perception system and method. The method comprises: each client collects network flow data in real time and transmits it to a database in a server for storage; the network flow data is input into a log intelligent analysis module and a flow intelligent analysis module for intelligent analysis, anomaly detection results are obtained and input into a workflow model, and the final anomaly detection results are obtained and visualized. By using each client to collect network flow data in real time, real-time collection of massive network flow data is achieved; by inputting network flow data into a log intelligent analysis module and a flow intelligent analysis module for log intelligent analysis and flow intelligent analysis, fault diagnosis is finally achieved through a workflow model, and deep learning models are fully utilized to improve the accuracy of fault diagnosis while reducing human resource loss, thereby improving data processing and analysis, and achieving accurate fault location and rapid response.

The application provides a cross-supercomputing center big data workflow collaborative computing method and device, relates to the technical field of distributed computing and workflow scheduling, and comprises the following steps: obtaining a workflow model to be executed, the workflow model defining a plurality of computing tasks and data dependency relationships between the tasks; obtaining resource state information, data distribution information and historical execution statistical information of a plurality of supercomputing centers; constructing a cost prediction model for predicting task execution time consumption and data transmission time consumption based on the workflow model and the historical execution statistical information; and distributing the plurality of computing tasks to corresponding supercomputing centers based on the resource state information, the data distribution information and the cost prediction model, and generating a scheduling scheme containing task scheduling instructions and data pre-scheduling instructions. The application provides a reliable basis for prospective scheduling decision, thereby avoiding resource waiting or invalid pre-transmission caused by inaccurate estimation.

A method (100) is proposed for generating a process model for modeling a manual mode program instance of a plant process, the program instance including a related sequence of operating actions, i.e., mining a plant history log to generate a workflow model, comprising the following steps: providing a plurality of log events (S1) of a plurality of operating actions (110) of the plant process; selecting a plurality of related sequences of manual mode operating actions from the plurality of log events (S2); filtering the plurality of related sequences of manual mode operating actions according to individual plant parts (S3); identifying a succession order from the filtered plurality of related sequences of manual mode operating actions (S4); determining statistical properties of the values ​​of the related process variables and / or the statistical properties of the values ​​of the related set point changes for each successively ordered manual mode operating action from the filtered plurality of related sequences of manual mode operating actions (S5); and generating a process model (S6) of the manual mode program instance by arranging the related manual mode operating actions with the succession order of each operating action, each operating action being assigned a statistical property of the value of the related process variable and / or a statistical property of the value of the related set point change.