8 results about "Continual improvement process" patented technology

This invention relates to the field of industrial Internet of Things (IoT) technology, and more particularly to an interactive system for tracking and providing feedback on maintenance strategies and tasks. The system includes a data hub and fusion module, a health assessment and early warning module, a maintenance strategy intelligent generation module, a task tracking and execution feedback module, a feedback optimization and knowledge base module, and a visualization push module. By constructing a multi-module collaborative intelligent maintenance platform, this invention achieves closed-loop management of the entire process, including equipment status monitoring, health assessment, maintenance decision-making, task execution, and knowledge optimization. It solves the problems of traditional systems relying on fixed rules and lacking continuous improvement; it also addresses the issues of low information transmission efficiency and insufficient decision support, ultimately achieving comprehensive optimization of equipment reliability, maintenance costs, and operational management efficiency.

This invention discloses a data-driven method for quality management of formwork construction in high-speed railway bridge-building machines, belonging to the field of engineering construction management technology. It includes acquiring multi-source real-time status data, environmental monitoring data, and historical adjustment records; calculating based on an initial quality sensitivity model to generate a dynamic quality sensitivity graph and perform resource scheduling to obtain refined monitoring data; then performing digital twin simulation of the construction process to generate a simulation report and conduct multi-objective optimization decision analysis; generating adjustment instructions; controlling the execution mechanism to execute the adjustment instructions; collecting actual formwork response data and comparing it with the simulation report; generating model calibration data; and updating the initial quality sensitivity model. This invention employs a collaborative working mode of multi-source data perception, digital twin simulation, closed-loop feedback control, and model self-optimization, enabling predictive management of construction quality, scientific optimization of decisions, and continuous improvement of the process.

The embodiment of the application provides a kind of intelligent auxiliary decision-making method and device based on multi-source data, realizes the accurate identification of information by semantic analysis and feature extraction.Construct decision mechanism, combine flow model and scheduling model, establish reliable task management strategy.Introduce efficiency optimization, through completion degree evaluation and model retraining, ensure the continuous improvement of decision-making.This method effectively solves the shortcomings of traditional technology in information extraction, task management and efficiency evaluation, etc., and provides technical support for intelligent auxiliary decision-making.

The embodiment of the application provides a modular function development method and device of a digital twin network management platform, accurate modeling of a network is realized through state analysis and topology mapping. A management mechanism is constructed, a reliable early warning strategy is established in combination with an intelligent model and fault correlation. Decision optimization is introduced, and continuous improvement of management is ensured through scheme verification and feedback adjustment. The method effectively solves the deficiencies of traditional technologies in network modeling, fault early warning and scheme decision, and provides technical support for network management.

A system and method for continuously improving the cybersecurity rating of a firm includes a feed processor configured to parse at least one cybersecurity report and to feed for building an instance graph. The system may identify, measure, and monitor portfolio dimensions of public-facing digital artifacts. In addition, the system and method may each include the instance graph being compared by a correlation engine with a reference graph to generate automated or semi-automated remediation recommendations that may lead to continuous improvement of a cybersecurity rating for an organization or firm.

The embodiment of the application provides a kind of based on the automatic test code generation method and device of large language model, by innovatively designing requirement processing system, by semantic analysis and scene construction, the effective generation of test case is realized.Code generation mechanism is constructed, in combination with quality evaluation and execution control, reliable test strategy is established.Result analysis is introduced, through experience accumulation and scheme optimization, ensure the continuous improvement of test.The method effectively solves the deficiency of traditional technology in requirement processing, code generation and result analysis etc., provides technical support for automated testing.

The embodiment of the application provides a dynamic resource scheduling method and device based on an AI agent, accurate demand identification is realized through feature quantization and state vector construction. A scheduling mechanism is constructed, combined with load prediction and strategy formulation, to establish a reliable resource allocation strategy. Feedback optimization is introduced, through state monitoring and reinforcement learning, to ensure continuous improvement of scheduling. This method effectively solves the shortcomings of traditional technology in demand identification, resource allocation and feedback optimization, and provides technical support for dynamic resource scheduling.