391 results about "Workflow process" patented technology

The invention discloses an AI-based browser user behavior recording intelligent workflow method and system, and relates to the technical field of workflow management.The method comprises the steps that interaction behaviors are recorded in a browser, and normalized event data are generated; the input recording cooperative agent performs user task intention analysis and abstracts the user task intention into a structured workflow; inputting a recording test agent for verification, and adjusting the structured workflow to obtain a verified target workflow; the browser is driven to automatically execute and monitor the execution state, a self-repairing strategy is triggered for adjustment when the execution state is abnormal, and the target workflow is updated when self-repairing succeeds. Through the technical scheme of the invention, standardized modeling and precipitation of the browser event flow are realized, the workload of establishing an automatic process is reduced, the use threshold of establishing the browser automatic process is reduced, the execution success rate and stability of the target workflow are improved, and the user experience is improved. And the robustness and the long-term maintainability of the automatic process are effectively improved.

A personalised artificial-intelligence (AI) case-manager platform provides real-time, policy-constrained clinical decision support. It ingests heterogeneous data from electronic-health records (EHRs), connected medical devices, and clinician inputs; fuses them with a traceable, multilingual reasoning engine; and screens every candidate action through a multi-tier policy-constraint layer that respects patient-consent artefacts, safety grammars, and jurisdictional rules. Dual-factor credential verification and dynamic, role-based access control secure all protected-health-information (PHI) transactions, while a cryptographically chained audit trail—keyed by a global trace identifier—records inputs, rules, overrides, and triggered workflows. Authorised feedback is adjudicated and fed to adaptive learning modules that tune patient-specific and population-level behaviour. A conflict-detection service flags discordant data streams, and a governance-validated workflow engine can issue proactive alerts, automated record updates, or human-in-the-loop escalations. The platform thus delivers explainable, equitable, and continuously learning automation without compromising privacy or clinical accountability.

The present invention relates to a collaborative robot system used in an industrial environment where workers collaborate. The collaborative robot system comprises: a collaborative robot body having a multi-joint structure; a control unit for controlling each joint or auxiliary shaft; one or more sensors for detecting the operational state of the robot in real time; and a status diagnosis and response module for diagnosing the state of the robot on the basis of detected data and controlling the operation of the robot accordingly. Specifically, the system is configured to enable the robot to autonomously perform actions such as deceleration, stopping, and recovery in response to various state changes occurring during work, and to perform self-learning and trajectory optimization on the basis of data accumulated through repetitive tasks. Furthermore, the system includes a graphical user interface (GUI) for intuitive user interaction, which is linked to a digital twin-based virtual simulation environment, enabling presetting and modification of work paths. When multiple collaborative robots are operated together, the system enables task synchronization, path collision avoidance, and sharing of status information among the robots, and may be connected to an external control server or a cloud-based control system to allow integrated management of the entire workflow.

An information technology system for a distributed manufacturing network includes an additive manufacturing platform configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. The information technology system includes a set of digital twins generated by the additive manufacturing platform. The information technology system includes an artificial intelligence system configured to be executed by a data processing system in communication with the additive manufacturing platform. The artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the set of distributed manufacturing network entities.

A system includes a processor that is configured to analyze position information and environmental information received from a mobile device and a peripheral device using a generation module, to acquire real-time movement data and environmental information utilizing a communication infrastructure, and to generate optimized workflows and movement routes, and to transmit instructions to the mobile device based on the analysis results.

An autonomous customer support Chatbot Agent utilizes a large language model to aid in implementing a workflow to solve a customer issue. A natural language workflow policy may be selected by an admin, along with tools such as API calls. The large language model determines the implementation details for the workflow based on the workflow policy and the selected tools.

In one aspect, a computerized method for document extraction workflow for unstructured documents includes the steps of implementing a text mining operation on a set of digital documents the incoming documents. This is done by defining a document type of each digital document. Based on the document type, the method defines a set of data dictionaries to extract any data from each digital document. The method uses the defined set of data dictionaries to extract any data from each digital document.

The invention relates to an application that utilizes artificial intelligence to enhance project management in construction and repair industries. The system includes a user computing device, an application server, and a database server. The application server processes project data, including blueprints, to generate materials lists, integrates with online marketplaces to facilitate purchasing, and employs machine learning for product recommendations. The system also uses predictive analytics to forecast project deliveries and prevent backorders, while optimizing resource allocation through efficient supplier and material selection. The software application features an AI-powered chat, job planner, marketplace, and cart, providing a comprehensive platform for real-time collaboration among contractors, suppliers, and manufacturers. This innovation streamlines project workflows, reduces errors, and improves overall efficiency in managing construction and repair projects.

The invention discloses an intelligent workflow generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining multi-modal demand information inputted by a user, carrying out the semantic understanding of the multi-modal demand information, and obtaining a semantic tag set and a workflow node link; according to the semantic tag set and the workflow node link, screening a basic template matched with the multi-modal demand information from a plurality of workflow generation templates, and expanding nodes in the basic template to obtain a target template; and acquiring hardware resource information of the user equipment, adjusting the node configuration information in the target template, and generating a target workflow file according to the adjusted target template. According to the technical scheme provided by the embodiment of the invention, the technical difficulty of a workflow generation scheme can be reduced, the generation efficiency of the workflow and the quality of a workflow generation result are improved, the problem that the template cannot normally operate due to the fact that the hardware of the user equipment is not supported or the plug-in is missing is avoided, and the workflow can smoothly fall to the ground.

The invention provides an industrial operation area multi-view video collaborative analysis method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring multi-view video data; secondly, based on the working area and the equipment layout, deducing a semantic association relationship among the multi-view video data; according to the semantic association relationship, dynamically adjusting the analysis priority of the multi-view video data through an artificial intelligence model to determine an analysis priority sequence; and according to the determined analysis priority sequence, executing interactive co-processing of the multi-view video data, and finally generating a co-analysis result. According to the technical scheme provided by the invention, the physical layout and the workflow of the industrial site are converted into the semantic association relationship, and the dynamic scheduling analysis resources and the interactive collaborative analysis are performed according to the semantic association relationship, so that the spanning from simple monitoring of a plurality of isolated video streams to intelligent and coherent understanding of the whole operation flow is realized; and the intelligent level and decision support capability of monitoring analysis are improved.

A personalised artificial-intelligence (AI) case-manager platform provides real-time, policy-constrained clinical decision support. It ingests heterogeneous data from electronic-health records (EHRs), connected medical devices, and clinician inputs; fuses them with a traceable, multilingual reasoning engine; and screens every candidate action through a multi-tier policy-constraint layer that respects patient-consent artefacts, safety grammars, and jurisdictional rules. Dual-factor credential verification and dynamic, role-based access control secure all protected-health-information (PHI) transactions, while a cryptographically chained audit trail—keyed by a global trace identifier—records inputs, rules, overrides, and triggered workflows. Authorised feedback is adjudicated and fed to adaptive learning modules that tune patient-specific and population-level behaviour. A conflict-detection service flags discordant data streams, and a governance-validated workflow engine can issue proactive alerts, automated record updates, or human-in-the-loop escalations. The platform thus delivers explainable, equitable, and continuously learning automation without compromising privacy or clinical accountability.

Monitoring the usage of an application by a user, including: determining, for the user and based on data describing usage of the application by the user, an access pattern of the application; and restricting, without modifying the one or more access policies that control access to the application for additional users, access to the application by the user, including implementing an approval workflow for accessing the application one or more steps that, if completed, allows access to the application by the user, wherein the approval workflow is implemented by an intermediary between a user device and the application.

The invention discloses a scenario generation method and system based on a large language model, and relates to the technical field of computers. By designing the scenario generation system comprising a scenario generation subsystem, a scenario setting subsystem, a scenario deduction subsystem and a scenario management subsystem, based on a large language model, a process of quickly generating a simulation scenario in a manner of retrieval enhancement generation or combat scenario text conversion is realized; moreover, the system has the functions of scenario editing, scenario deduction, scenario management and the like, achieves a workflow closed loop of intelligent generation, editing management, deduction inspection and modular storage, and improves the scenario generation efficiency and the intelligent level.

The invention discloses a workflow analysis linkage verification method and device based on log analysis, equipment and a medium, and relates to the technical field of workflow verification, and the method comprises the following steps: collecting operation log data, and carrying out time sequence reconstruction and event extraction to obtain a structured log record; performing semantic analysis on the structured log record, extracting a log semantic feature vector of each event, and constructing a semantic feature matrix; based on the semantic feature matrix, performing semantic modeling on nodes in a preset process model to obtain a process node semantic vector; matching the log semantic feature vector with the flow node semantic vector, and constructing and optimizing an initial mapping relation matrix according to a matching result; executing flow rule compliance and rationality joint verification according to an optimization result; according to the method, deep coupling of the log, the process model and the business rule is realized, so that the problems that log analysis and rule coupling are insufficient and process compliance and rationality verification are difficult to accurately carry out are solved.

In an industrial processes, a properly instrumented line facilitates capture of data including detected steps, application input, and execution graph transitions, that permit the creation of empirical models of process timing. In this context, a process controlled by individual applications, e.g., at manufacturing workstations, provides a proxy for overall process timing by dividing a workflow into a number of discrete steps completed at each workstation, and further into any number of sub-steps, each controlled by a user and explicitly completed, e.g., by user interactions with widgets or other controls of the application. These applications provide a useful framework for modeling execution timing by providing an initial, implicit model for workflow (based on application control logic) that also facilitates automated detection of process sub-steps based on execution flow, as well as detection and measurement of the contributions of individual widgets and / or combinations of widgets to the process timing. By gathering data in this manner, mixed statistical distributions can be applied based on individual timing data for each possible sub-step, widget, process step, and the like performed with each application.

Embodiments of the present disclosure generally relate to methods for autonomous orchestration of a data labeling workflow. Embodiments include generating, using a generative machine learning model, a natural language description of input data. Embodiments include identifying candidate labels that are semantically similar to the natural language description of the input data. Embodiments include providing natural language descriptions of the candidate labels and the natural language description of the input data to a language processing machine learning model. Embodiments include receiving an output from the language processing machine learning model in response to the natural language descriptions of the candidate labels and the natural language description of the input data, wherein the output indicates a selected label from the candidate labels. Embodiments include validating the output based on an alternative label determination technique. Embodiments include associating the selected label with the input data based on the validating.

An embodiment may involve receiving a textual description of a workflow; determining, based on the textual description and operational characteristics associated with a computing system, a workflow outline that represents respective steps of the workflow; for each of the respective steps of the workflow, identifying a respective portion of the operational characteristics based on determining that the respective portion satisfies a relevance criterion; obtaining, from a natural language model and based on the respective portions of the operational characteristics, a respective programmatic representation for each of the respective steps of the workflow; and updating the workflow outline based on the respective programmatic representations.

The invention discloses a construction method of a single-cell multi-omics data analysis system based on a containerization technology, and the construction method of the single-cell multi-omics data analysis system based on the containerization technology comprises the following steps: constructing a single-cell multi-omics analysis modular toolkit; a production mirror image is constructed on the high-performance cluster through a Single container engine, and deployment of a production environment is completed; a single-cell multi-omics automatic analysis platform is built through a snakemake process engine; and a JupyterLab interactive analysis platform for exploratory analysis of the single-cell multi-omics data is constructed. According to the single-cell multi-omics data analysis system construction method based on the containerization technology, the data acquisition link in the analysis process is accelerated, an automatic working process is formed to solve the problem of complex process, and the actual requirements of multiple users on a high-performance computing cluster for scientific exploration and analysis of single-cell data are met.

Disclosed is a system and method for automated outage and workflow planning system in a distributed electrical power grid with planned de-energization of electrical equipment as opposed to responding to an unplanned power outage. An automated system provides core conflict resolution and power outage planning. The present invention automatically notifies requestors of upcoming work orders. In addition, the present invention reduces scheduling inefficiencies by requiring requestors to confirm, decline, or edit on the fly their pending work order(s). The system also determines if all the orders are not completed and places the order back on the calendar for another day.

A method and system for executing chained instructions in a resilient, decentralized architecture are disclosed. The system enables complex workflows through an asynchronous continuation mechanism. An initial instruction, executed by a first entity in a leading validation cluster, can generate one or more continuation instructions directed to other entities. These continuations are executed immediately on a “fast track” path within the leading cluster, creating a high-speed, non-blocking sequence of cross-entity actions prior to network-wide consensus. The resulting ordered sequence is then proposed to follower clusters, which perform a consensus before executing a duplicate, verifiable instance of the entire instruction chain. This separation of optimistic, continuation-driven execution from deliberate, consensus-based finality facilitates a pipelined and parallel processing model. The architecture provides the foundation for resilient microservice applications requiring complex, low-latency, and asynchronous interactions across a scalable, decentralized system.

A system and method are disclosed for touchless, gesture-based form validation using real-time input from a standard camera. Spatial hand gestures are interpreted as mouse-like actions—such as drag, click, scroll, and hold—to complete form tasks without physical input. The system includes a vision-based input module, an AI-powered gesture recognition engine using landmark extraction, an interaction handler that maps gestures to DOM-compliant events, and a validation controller that confirms field focus, checkbox toggling, and submission. A visual feedback renderer provides real-time cues indicating gesture success, failure, or activity. Navigation buttons enable directional control and element repositioning. The method supports secure CAPTCHA-style workflows via randomized tasks and gesture thresholds, executing natively in browsers using WebAssembly or TensorFlow.js. Applications include bot prevention, accessible interaction, and secure, device-free input for web and mobile environments.

A method may include: a funds control workflow orchestrator computer program receiving, from a money movement platform, a funds control request for a transaction for a client; the funds control workflow orchestrator computer program requesting funding for the request from a liquidity matching computer program; the funds control workflow orchestrator computer program determining whether the request can be funded based on account balances for the client retrieved from an account ledger or an approved credit extension; the liquidity matching computer program generating a liquidity snapshot for the client and storing the liquidity snapshot in an available liquidity snapshot store; the funds control workflow orchestrator computer program receiving a positive determination on liquidity; the funds control workflow orchestrator computer program returning the positive determination to the money movement platform, wherein the money movement platform executes the transaction; and the funds control workflow orchestrator computer program updating a workflow status.

A system and method for creating and publishing augmented reality (AR) content using a mobile device and application. The method includes selecting a content theme, presenting associated content templates, receiving user input, and generating an AR content item. Metadata is created indicating AR content type, selected theme, and used template. The AR content item and metadata are published to a server for storage in a manner enabling retrieval and presentation via an AR device application. The system facilitates easy creation of AR content without requiring specialized AR development skills, allowing users to generate content using familiar mobile interfaces. The created content can be accessed and viewed through AR devices, providing an seamless workflow from content creation to AR presentation.

The invention discloses an automatic construction method of an APK file and a related product. According to the method, firstly, a user construction demand and an APK code corresponding to the user construction demand are obtained, the code comprises application module codes of multiple versions, and the application module codes comprise a bottom layer package code and an HMI code. And then version filtering is carried out on the APK code based on a user construction demand to obtain a target code. And then interface consistency verification is carried out on an interaction interface of the bottom layer package code and the HMI code in the target code. And if the verification is passed, querying a construction workflow matched with the construction demand of the user in the knowledge graph to obtain a target workflow. On this basis, according to the target workflow, bottom layer package codes and HMI codes in the target codes are called and compiled in order, and an APK file matched with the construction requirement of the user is generated. According to the method, the automation level and accuracy of APK construction are greatly improved, and the problems of manual operation errors and version compatibility are reduced.

A method can include can include tracking machine generated interactions with a computational framework to perform a workflow related to a reservoir, where the workflow generates output data using input data that characterizes the reservoir; identifying non-useful interactions that do not contribute to generation of the output data; generating a representation of the workflow that does not include the non-useful interactions; and storing the representation of the workflow to a workflow inventory.

An autonomous multi-agent refinement system is disclosed. A refinement controller comprising a large language model (LLM) receives configuration data defining a plurality of artificial intelligence (AI) agents with predefined roles, goals, and workflows, executes the agents to generate an output, and evaluates the output against LLM-generated qualitative and quantitative evaluation criteria. Based on the evaluation, the refinement controller generates a hypothesis to modify at least one of the roles, workflows, or inter-agent dependencies and implements a modified configuration to produce a modified output. In embodiments, the controller initializes agents from an idea description, synthesizes multiple hypotheses, executes corresponding configuration variants in parallel, and employs a comparison agent to compare outputs against a best-known output. A memory module stores and retrieves configurations and outputs to support iterative selection and reuse, while a documentation module records decisions and rationales.

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a decision tree to generate a recommended action in response to detecting a change in a data map representing a computing environment. The disclosed system determines relationships among data objects representing digital data, digital assets, and data processing activities and generates a data map according to the relationships. The disclosed system monitors the data map for changes and, responsive to determining a change in the data map, traverses a decision tree by executing one or more calls to one or more application programming interfaces according to the change in the data map and one or more data policies relevant to the changes. The disclosed systems utilize the decision tree and application programming interfaces to generate a recommended action for modifying digital assets, digital data, and / or data processing activities.

The system (108) in the present disclosure for service barring workflow is designed to automate and streamline the process of managing service barring actions in a telecommunications network It provides centralized control, efficient processing. and granular control over service restrictions by implementing a method (400) involving various nodes. Tracking Area Code (TAC) and Network administrators. The system (108) offers advantages such as enhanced operational efficiency. accurate enforcement of service barring rules. real-time monitoring. and reporting capabilities. It integrates with network elements and ensures compliance with regulatory requirements. With its flexible and scalable architecture, the system (108) enables administrators and users to efficiently handle service barring requests while maintaining a positive customer experience. Overall, the system (108) for service barring workflow optimizes the service management process. enhances security, and contributes to effective network control and customer satisfaction.

RFID-based operations management systems and methods are provided herein, particularly RFID based Kanban systems. Such system can realize increased efficiencies, improved visibility of inventory throughout the workflow and improved response to variations in demand. RFID based solutions can automatically transact consumption of Kanban inventory in real-time and trigger replenishment signals to warehouses automatically, resulting in increased Kanban inventory accuracy and lower manual efforts for replenishment and consumption posting. This approach can interface with existing operational management software (e.g. ERP systems, such as SAP) seamlessly integrating with product manufacturing workflows. Such systems are uniquely applicable to manufacture of biological testing kits, where demands fluctuate considerably in response to crises, disasters, epidemics and pandemics.

Systems and methods in the field of software development and workflows for networked applications. System would allow rotation of test, staging, and production servers by reassigning their respective addressing, with minimal or no modification to the servers. It would reduce or eliminate uncertainty, additional testing, delays, and downtime as a result of server rotation and maintenance.