40 results about "Operating procedures" patented technology

An AI-driven, cloud-based system (100) for real-time biomedical and pharmaceutical compliance and risk management, including: (a) a compliance knowledge module configured to ingest, interpret and structure regulatory data using natural language processing (NLP) and generate machine-readable compliance rules; (b) a real-time monitoring and event recording module configured to collect and normalise operational data from distributed biomedical and pharmaceutical systems, including laboratory information management systems (LIMS), manufacturing execution systems (MES) and IoT-enabled devices; (c) an intelligent risk assessment and prediction module configured to correlate operational data with compliance rules, calculate dynamic risk scores and predict potential compliance violations using machine learning models; (d) an automated policy and workflow enforcement module configured to initiate remedial actions, assign tasks and log activities based on predefined standard operating procedures (SOPs); (e) an audit readiness and reporting module configured to generate compliance logs, audit trails and standardised regulatory reports in real time; and (f) an adaptive learning and feedback optimization module configured to refine rule sets and predictive models based on feedback, historical data and regulatory updates; g) the modules are integrated into a cloud infrastructure to enable real-time, scalable and predictive compliance and risk management across biomedical and pharmaceutical processes.

The present invention discloses an artificial intelligence-based (AI-based) system and method for generating optimised operation planning and scheduling output. The AI-based system obtains at least one of: one or more data explanation videos, one or more process understanding videos, and unconstrained operational planning data, along with one or more prompts as an input. The AI-based system extracts one or more informative image frames and audio data, to train the one or more AI models and generate a planning standard operating procedure (SOP). The AI-based system processes the planning SOP, the constrained operational planning data, and the one or more prompts to generate the optimised operation planning and scheduling output based on an optimised function with a continuous feedback loop in response to at least one of: the one or more prompts, updated planning SOP, and real-time changes in the constrained operational planning data.

The invention discloses an intelligent distribution, compensation and adjustment system and method.The intelligent distribution, compensation and adjustment system comprises a demand prediction module, an inventory management module, a compensation and adjustment parameter setting module, a compensation and adjustment engine module, a compensation and adjustment matching module and a task execution and analysis module. Commodity personnel are liberated to make massive tedious excel tables, the commodity personnel have more energy to concentrate on creativity and decision, more dimensional data reference is provided, through model rule parameter / coefficient configuration, each time of supplementary allocation experience can be precipitated, multiple commodity distribution modes and standardized operation processes can be provided, and the commodity distribution efficiency is improved. According to the method, automatic calculation and output at preset time, unified logic caliber standards, various rules and parameter settings and automatic identification of business scenes can provide the manual working efficiency exceeding 100%, and meanwhile, the code breakage rate of a brand can be reduced by 5%, and the adjustment parcels can be reduced by 25%.

Enterprises need assurance that their internal documents like policies, procedures, controls, standard operating procedures (SOPS) are adherent to the regulatory obligations. In conventional practice this requires a manual effort where legal, business and IT experts collaborate for assuring completeness and consistency in enterprise documents with respect to regulatory obligations, thereby establishing regulatory hygiene. Governance risk and compliance (GRC) frameworks help experts with collaboration but do not provide automation aids necessary to reduce the analysis and synthesis burden. Present disclosure provides system and method for determining hygiene in the plurality of enterprise documents with respect to the plurality of regulatory obligations by extracting concept ontology models from multiple enterprise documents and multiple regulations and enabling navigation across multiple documents via the ontology. The system further reasons out how this form of navigation or creating a common navigable ontology enables establishing hygiene in enterprise documents with respect to regulatory obligations.

This invention discloses an intelligent processing system and method based on laboratory process standardization, belonging to the field of intelligent processing technology. The system includes a change clause extraction module, a core change identification module, an equivalent node mapping module, and a historical data adaptation module. The method obtains the old and new versions of standard operating procedures, compares and extracts target change clauses, divides core and non-core change clauses and constructs a version difference chain, establishes equivalent node mapping relationships for core change nodes, and converts old process nodes and processes historical experimental data based on these relationships to reconstruct historical experimental processes adapted to the new version of the procedures. This invention solves the problems of low efficiency, easy omissions, and difficulty in adapting complex nodes in manual processing, improves the level of process standardization automation and data adaptation accuracy, and ensures the traceability of experimental results.

The invention provides a method and a system for identifying normalization of a vehicle lamp assembly process through a perception model, and relates to the technical field of industrial automatic detection. According to the method, a region of interest and an operation step sequence are configured according to a standard operation program, a real-time operation picture is accessed, ROI selection, brightness judgment, feature matching, multi-frame data fusion and other operations are performed in sequence, and the normalization of each step and the overall process is judged. The key technology of the method comprises a unitized operation state perception and sequence verification mechanism based on dynamic region configuration, AI perception and process decoupling design oriented to part state recognition, and a robustness perception result verification mechanism fused with multi-modal information. According to the invention, manual supervision is not needed, and automatic detection and alarm can be realized; decoupling the AI model and the process to realize cross-process multiplexing; interference is eliminated through multi-modal verification, the recognition accuracy is remarkably improved, and the automobile lamp assembly quality and production efficiency are effectively guaranteed.

This application belongs to the field of battery technology and discloses a testing method and apparatus for Standard Operating Procedure (SOP). The method includes: a Battery Management System (BMS) controller receiving test environment parameters from a VT system cabinet; a host computer sending a command to the BMS controller to close a high-voltage relay, and the BMS controller inputting a high-level signal to the relay; according to a timer of preset duration, the BMS controller acquiring the current battery cell temperature sequence, current State of Charge (SOC), and current State of Harshness (SOH) within the preset duration; based on the current battery cell temperature sequence, current SOC, current SOH, and a pre-stored power table corresponding to SOC and battery cell temperature, the BMS controller determining the current BMS lookup power; the BMS controller acquiring the current BMS actual power, and based on the current BMS lookup power and the current BMS actual power, determining whether the current BMS actual power is qualified; if qualified, the current BMS actual power is taken as the SOP. Using this application can improve the accuracy of SOP testing.

A system and method for validating aviation regulatory compliance is disclosed. The system employs a method using AI to check aviation document compliance with regulations. It parses documents locally, compares semantically via hybrid AI, identifies gaps, offers remediation options from original texts, updates scores, and generates reports, ensuring efficiency and privacy.

The invention relates to the technical field of artificial intelligence and clean room intelligent operation and maintenance, in particular to a clean room intelligent operation and maintenance method and system based on artificial intelligence, and the method comprises the steps: collecting a business data source, an Internet of Things data source and spatial topology configuration data; based on a production scheduling plan, a personnel authority and standard operation program, an equipment ledger and maintenance record and spatial configuration data, constructing an ideal reference space-time tensor organized according to a preset time granularity and a spatial partition; performing parameterized disturbance by using an abnormal event operator to generate an abnormal simulation state set; differentiating the real acquisition data and the abnormal simulation state with the ideal reference to obtain a real residual matrix set and a theoretical residual matrix set; a diagnosis result is generated based on the time sequence and space similarity, and an operation and maintenance work order or a to-be-observed record is generated according to conditions; and collecting execution and re-checking results, updating disturbance parameters and distribution thresholds, and realizing accurate identification and disposal of personnel violation, equipment degradation and logistics retention.

A method of generating, at an IIOT device mounted to equipment of a drilling system, a relay variable, a measurement variable, or a control variable and a message having an IP address. Classifying, by application services of a cloud service provider, the relay variable, the measurement variable, or the control variable; identifying a category or a category and sub-category from a plurality of categories and sub-categories based on variable; cataloguing the relay variable, the measurement variable, or the control variable based on the category or the category and the sub-category; selecting from a library of catalogued relay variables, measurement variables, and control variables, at least one selected from a group comprising a parameter and a value; and identifying a pattern using a statistics based algorithm, the statistics based algorithm using a standard operating procedure, the parameter and the value, the pattern indicating a deviation in the standard operating procedure.

A method (100) for generating and / or expanding a computer implementation protocol (4) for at least one standard operating procedure (SOP) (2) in an industrial plant (1), comprising the steps of: providing (110) at least one SOP (2) of the plant (1), the SOP (1) comprising multiple steps (2a-2g); providing (120) measurement data (3) which has been acquired during multiple implementations of at least one SOP (2) and indicating actions to be performed in the plant (1) to modify the state of the plant (1) or any part thereof for the purpose of implementing the SOP (2). State and / or behavior; • For each step (2a-2g) of SOP (2), determine (130) a subset (3a-3g) of measurement data (2) based on measurement data (3), the subset indicating the action to be performed for that particular step (2a-2g) of SOP; and • aggregate (140) the subset (3a-3g) of measurement data (3) determined for each step (2a-2g) of SOP (2) into at least one instruction (4a-4g) for performing that particular step (2a-2g) of SOP, wherein the instruction (4a-4g) is part of the sought protocol (4).

An annotation support device, annotation support method, and program for efficiently creating high-quality training data for AI learning are provided. [Solution] The annotation support device of the present invention provides centralized support for annotation work management by comprising a recording unit that records project information, work target data, worker information, and annotation results, an output unit that outputs specifications and standard operating procedures, an execution unit that automatically evaluates the quality of workers' work and determines whether the work can be completed, an allocation unit that automatically allocates appropriate data to workers, and an output unit that aggregates and visualizes progress and quality. This reduces the labor required for complex management work in large-scale annotation projects, suppresses variations in work quality, and enables efficient and highly accurate data creation.

The invention discloses an intelligent processing system and method based on laboratory process standardization, and relates to the technical field of intelligent processing. The system comprises a change clause extraction module, a core change identification module, an equivalent node mapping module and a historical data adaptation module. According to the method, new and old version standard operation regulations are obtained, target change terms are compared and extracted, core and non-core change terms are divided, a version difference chain is constructed, an equivalent node mapping relation is established for core change nodes, old version process nodes are converted according to the relation, and historical experiment data are processed. And reconstructing a historical experiment process adaptive to the new-version regulation. According to the method, the problems of low manual processing efficiency, easiness in omission and difficulty in corresponding adaptation of complex nodes are solved, the process standardization automation level and the data adaptation accuracy are improved, and the traceability of experimental results is guaranteed.

1. Name of the Design Product: Graphical User Interface for Public Opinion Information Operation of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the interface content of the graphical user interface displayed on the screen. 4. Picture or Photo Most Illustrating the Design Key Points: Interface Variation State Diagram 1. 5. Use of the Graphical User Interface: Provide an operation interface for using the integrated financial public opinion system. Display the correlation between data such as the content, summary, financial event tags, event sentiment, event source, and event backtest results of enterprise-related public opinion news events and the rise and fall of enterprise stock prices, as well as the relevant operating procedures. 6. Human-Computer Interaction Method of the Graphical User Interface: The main view is the login interface. After the user fills in the relevant information and clicks the "Login / Register" button to log in, enter Interface Variation State Diagram 1; move the cursor in Interface Variation State Diagram 1 to the first public opinion news title to enter Interface Variation State Diagram 2; click the blue triangle icon in the rectangular box of Interface Variation State Diagram 2 to enter Interface Variation State Diagram 3; click the eye icon in Interface Variation State Diagram 3 to enter Interface Variation State Diagram 4; move the cursor in Interface Variation State Diagram 4 to the next public opinion news title to enter Interface Variation State Diagram 5; move the cursor in Interface Variation State Diagram 5 to the enterprise name in the rectangular box to enter Interface Variation State Diagram 6; click the "Follow List" button in the navigation bar above Interface Variation State Diagram 6 to enter Interface Variation State Diagram 7; click the "+ Add Company" button below the list in Interface Variation State Diagram 7 to enter Interface Variation State Diagram 8; click the "Company Intelligence" button in the navigation bar above Interface Variation State Diagram 8 to enter Interface Variation State Diagram 9; scroll the mouse wheel down in Interface Variation State Diagram 9 to enter Interface Variation State Diagram 10; continue to scroll the mouse wheel down in Interface Variation State Diagram 10 to enter Interface Variation State Diagram 11.

Embodiments of the present application provide a control method of a single crystal furnace, an electronic device, a storage medium and a program product. The method comprises: collecting real-time running data of a single crystal furnace, and extracting key feature waveforms of an abnormal period of the single crystal furnace; inputting the real-time running data into a preset diagnosis model for abnormality identification; when an abnormal event is identified, performing root cause tracing reasoning through a knowledge graph to locate an abnormal root cause; according to the abnormal root cause, retrieving matched historical measures and / or standard operating procedures from a measure library to generate candidate instructions containing specific parameter adjustment instructions; and simulating and verifying the candidate instructions in a digital simulation model, and if the simulation is passed, executing the candidate instructions, wherein the digital simulation model is used to simulate the running state of the single crystal furnace.

A computer system receives, by an interface agent and via a web user interface, a first user query from a user that defines a request to summarize historical data corresponding to a critical event associated with a plurality of computing incidents. In response to receiving the first user query, the computer system instantiates, by an executing agent, an event report associated with the critical event. The computer system displays the event report to the user. The computer system receives, by the interface agent and via the web user interface, a second user query from the user that defines a request to reduce a mean time to repair (MTTR) for resolving the critical event. In response to receiving the second user query, the computer system instantiates, by the executing agent, an enhanced standard operating procedure (SOP) configured to reduce the MTTR. The computer system displays the enhanced SOP to the user.

The present disclosure relates to systems and methods for a system lab and SOP framework to support testing based on customer environments. Longevity testing must be run on every build with different test cases; thus, the system lab framework allows this testing to be performed on multiple machines in a single run, also allowing test results to be stored. The system lab framework is adapted to recreate customer issues, allowing different environments typically not accessible to be replicated and tested. The system lab framework includes central code to trigger cases on different machines. A central data collection system is able to collect all of the results from the cases and store the respective data. This system lab framework is adapted to support multiple Operating Systems (OS) including Windows, Mac, Linux, and the like.

A system and method for Gen AI based claim data processing and evaluation is provided. The present invention enables generating prompt data by processing parsed standard operation procedure data and rules data associated with a first set of pre-defined rules. The prompt data is provided as a first prompt data to a Large Language Model (LLM) to generate a set of first rules. Set of first rules is provided along with output generation instructions as a second prompt data to the LLM to generate a set of second rules. Non-adjudicated claims data is extracted along with corresponding non-automated edit codes for evaluation. An output is generated in the form of recommendations by validating non-adjudicated claims data and corresponding non-automated edit codes based on a comparison with set of second rules. The recommendations are provided for resolving the non-adjudicated claims data.

Various methods and processes, apparatuses / systems, and media for automated structure retrieval of complex standard operating procedures (SOPs) are disclosed. A processor encodes the SOP as a Directed Acyclic Graph (DAG) to keep track of the dependencies between SOP tasks or steps and retain the sequential aspect of the SOP execution. To be able to support long SOPs, the processor implements a multi-phase approach where the processor first performs a “segmentation” step to break the SOP into task segments which are then transformed into a DAG by calling a structure generation module. The segmentation is utilized recursively to attain a fined-grain decomposition of the SOP to facilitate effective DAG generation.

The invention discloses an industrial exception automatic processing system based on operation instruction matching, and relates to the technical field of industrial exception automatic processing, which comprises a data management module, an exception detection module and a factor analysis and automatic processing module. According to the invention, continuous monitoring of real-time operation data and automatic identification of abnormal states can be realized, after influence factors are accurately extracted, the influence factors are automatically matched with an SOP operation instruction book, the system is guided to carry out next processing according to a standard operation process, operation parameters are dynamically optimized, the system can reduce human intervention frequency, the response speed and the control precision are improved, and the operation efficiency is improved. Therefore, the overall production efficiency and operation stability are improved, and safety and high efficiency of industrial production are guaranteed.

This invention relates to the field of intelligent manufacturing and production management technology, specifically to an intelligent operation collaborative control method and system. The method includes: acquiring real-time video streams of the work area; calling a pre-trained neural network model to parse the video streams to identify fine-grained behavioral sequences of operators; comparing the identified behavioral sequences with pre-stored standard operating procedures to generate compliance judgment results; and generating and outputting corresponding guidance information to the work area when the judgment result indicates abnormal behavior. Furthermore, the method also includes analyzing behavioral data to generate on-site management optimization suggestions and quantitatively evaluating the effectiveness of the optimization measures. This invention achieves precise real-time monitoring and guidance of the operation process and enables on-site optimization and effect evaluation based on objective data, effectively improving the level of operation standardization, product quality consistency, and overall production efficiency.

This invention relates to a production process anomaly handling method based on AI node embedding, belonging to the field of intelligent manufacturing. This method uses an SOP parsing engine to decompose standard operating procedures into atomic-level AI-interventionable nodes, generating a node-based process topology. At the AI ​​node embedding layer, lightweight anomaly detection models, publish-subscribe communication protocols, and self-healing mechanisms are bound to each node, forming an autonomous set of intelligent nodes. Real-time collaboration between nodes triggers anomaly suppression within nodes and propagation suppression between nodes, generating tiered response instructions. A process refactoring engine automatically skips non-critical nodes, activates backup nodes, or enables manual intervention based on production cycle time, outputting an adaptive sequence that maintains process integrity. Incremental learning of node models and continuous evolution of the rule base are achieved through knowledge distillation. This invention realizes the automation, intelligence, and self-evolution of production process anomaly handling, significantly improving anomaly response speed and production continuity, thereby increasing production efficiency.