29 results about "Operating procedures" patented technology

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.

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.

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 (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.

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.

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.

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.

The invention discloses an online curing device and method for a conductive material, and the method comprises the following steps: S1, starting a printing equipment control system and an air compressor in sequence according to a standard operation process, creating a new control program file through an equipment switch after the initialization of the system is completed, and inputting a corresponding technological parameter instruction; s2, after printing is completed, a laser transmitter is assembled on a laser fixing support, and the position of the laser transmitter is adjusted through the laser fixing support; and S3, generating a laser beam through a laser transmitter, focusing the laser beam through an optical system, and irradiating the laser beam on the conductive silver paste of the fixed bracket, so that the material is instantly heated to be above a melting point, the material is sintered, and the conductive material on the cushion block is cured. The device has the beneficial effects that by arranging the laser transmitter, the conductive material can be rapidly heated and cured, the curing efficiency is effectively improved, material deformation is reduced, in-situ direct solidification of the conductive material is achieved, and integrated manufacturing of a supporting circuit structure is achieved.

The invention discloses a standard operation process extraction method and equipment based on a large language model, and relates to the technical field of computers. The method comprises the following steps: analyzing operation documents corresponding to a standard operation process extraction task, segmenting each operation document into at least one fragment, and determining fragment index information corresponding to each fragment; for each fragment, determining a structuring step corresponding to the fragment based on an extraction result of structuring extraction of the fragment by a large language model; and according to the fragment index information corresponding to each fragment, combining the structured steps corresponding to each fragment to obtain a structured process corresponding to the standard operation process extraction task. According to the technical scheme, through the technologies of text fragmentation, structured extraction, structured aggregation and the like, the problems of low extraction efficiency and low accuracy of the structured process are effectively solved, and automatic and intelligent extraction of the structured process is realized.

Examples described herein provide a method that includes receiving a set of air-gapped systems' states from a plurality of monitored air-gapped systems. The method further includes aggregating one or more subsets of the set of air-gapped systems' states based on a vectorized set of standard operating procedures in execution at a time of the generating. The method further includes determining, using at least one aggregation, an intersystem state event dependency defining the aggregating using natural language processing techniques. The method further includes forwarding the intersystem state event dependency to a secondary event aggregator. The method further includes classifying the intersystem state event dependency as an abnormal intersystem state event dependency. The method further includes determining, based on a historical corpus of intersystem state event dependencies, a resolution for the abnormal intersystem state event dependency. The method further includes implementing the resolution to resolve the abnormal interstate system state event dependency.

This invention discloses a method for controlling corner cracks in slabs, belonging to the field of steel continuous casting production technology. This method, through collaborative design involving ensuring equipment precision throughout the entire process, accurately controlling process parameters, and implementing standardized operating procedures, clarifies the operational requirements and parameter standards for each stage, achieving systematic prevention and control of corner cracks in slabs. This fundamentally reduces the incidence of corner crack defects, improving slab production quality and stability.

The present application relates to the field of artificial intelligence and clean room intelligent operation and maintenance technology, in particular to a clean room intelligent operation and maintenance method and system based on artificial intelligence, comprising: collecting business data sources, Internet of Things data sources and spatial topology configuration data; based on production scheduling, personnel authority and standard operating procedures, equipment account and maintenance records and spatial configuration data, an ideal benchmark space-time tensor organized according to preset time granularity and spatial partition is constructed; abnormal event operators are used for parameterized disturbance to generate an abnormal simulation state set; the real collected data and the abnormal simulation state are respectively differentiated with the ideal benchmark to obtain a real residual error matrix and a theoretical residual error matrix set; a diagnosis result is generated based on time sequence and spatial similarity, and an operation and maintenance work order or an observation record to be observed is generated according to conditions; the execution and review results are collected, the disturbance parameters and the dispatch threshold are updated, and the accurate identification and disposal of personnel violations, equipment degradation and logistics retention are realized.

Disclosed are a zero-shot standard operating procedure generation method and apparatus, a device, and a storage medium. The method comprises: acquiring a plurality of production videos, and using a vision-language model to extract image features of frames in each video; by means of multi-video collaborative processing and dynamic similarity filtering, identifying standard operations in a target video and filtering out irrelevant frames; using a cosine-energy change-point detection algorithm to detect operation boundaries from the filtered frames, and segmenting the target video into a plurality of operation steps; calculating a standard time for each operation step; inputting image features corresponding to each operation step and prompt information into a vision-language model, and generating a textual description for each step; and generating a standard operating procedure document on the basis of the standard times and the textual descriptions. The present disclosure does not require domain-specific annotated data, and enables automatic and efficient generation of accurate standard operating procedures. The present disclosure is applicable to various production environments, particularly frequently changing manufacturing processes.

This application discloses a method and system for grading and arbitrating intraoperative anomalies in a minimally invasive surgical robot. The method includes: real-time monitoring of the surgical status using multi-source sensors; when an unexpected anomaly is detected, suspending master-slave control and locking the current surgical task segment context; based on task segment perception logic, retrieving the handling plan that best matches the anomaly characteristics from a subset of pre-set standard operating procedures for each stage in a cache; inputting the anomaly event description and handling plan into a generative language model (offline or local) to generate structured instructions containing physical constraint parameters (force, displacement) for the anomaly event, and mapping them to a sequence of robot motion primitives; executing the motion sequence and trajectory generated by the instructions after performing kinematic consistency and tissue protection security checks through an independent kinematic firewall, or triggering a security degradation action if the checks fail. The system includes sensors, a cache, a processor, and a robot driver. This application solves the latency bottleneck of online inference for large models through a task segment pre-retrieval mechanism and ensures the determinism and physical security of anomaly handling by combining it with a kinematic firewall.