Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3 results about "Physical laboratory" patented technology

A Machine Vision-Based Laboratory Anomaly Detection and Autonomous Response System

This invention discloses a laboratory anomaly identification and autonomous response system based on machine vision, belonging to the field of intelligent laboratory monitoring technology. The system includes a data acquisition layer, a feature extraction layer, an intelligent analysis layer, a decision execution layer, and a digital twin layer. The data acquisition layer collects laboratory video streams and physical sensor data; the feature extraction layer uses a multi-task learning framework to extract multimodal features; the intelligent analysis layer identifies anomalies based on multimodal features and generates handling strategies, incorporating a causal structure learning mechanism and an anomaly hierarchical handling mechanism; the decision execution layer executes corresponding remedial operations; and the digital twin layer constructs a digital twin model corresponding to the physical laboratory and synchronizes status information in real time. This invention achieves accurate identification and autonomous response to laboratory anomalies, improving the intelligence level and operational safety of laboratory management.
Owner:NINGBO XINGBOYUAN INTELLIGENT TECHNOLOGY CO LTD

A digital twin-based intelligent inspection system and method for chemical laboratories

PendingCN122089538AChecking time patrolsData processing applicationsPhysical laboratoryData acquisition
This invention provides an intelligent inspection system and method for chemical laboratories based on digital twins, belonging to the field of industrial Internet of Things and intelligent safety management technology. The system includes a physical sensing layer, a digital twin engine layer, an intelligent processing layer, and an application interaction layer. The physical sensing layer collects real-time data of the laboratory environment and equipment through a sensor network; the digital twin engine layer constructs a three-dimensional virtual model corresponding to the physical laboratory and displays the data overlay; the intelligent processing layer dynamically plans inspection paths and generates alarms based on real-time and historical data through anomaly pattern recognition and reinforcement learning; the application interaction layer provides a visual inspection interface and safety emergency handling functions. The method includes data acquisition, 3D driving, intelligent analysis, and visualization steps. This invention achieves global perception of laboratory safety status, intelligent risk early warning, and automation of the inspection process, improving the real-time performance, accuracy, and intelligence level of chemical laboratory safety management.
Owner:NINGBO XINGBOYUAN INTELLIGENT TECHNOLOGY CO LTD

A laboratory intelligent management system based on an active virtual digital human

The application relates to the technical field of intelligent management, in particular to a laboratory intelligent management system based on an active virtual digital person, which comprises a server; the server comprises a perception layer, a digital twin layer, a cognition layer and an application layer, and forms an intelligent management system of perception, twin model, intelligent decision and execution; wherein the perception layer collects laboratory environment, equipment, personnel and access control state data through Internet of Things sensors and other equipment; the digital twin layer constructs and updates a virtual twin model of a physical laboratory in real time, and realizes two-way data binding; the cognition layer comprises a multi-agent module, and intelligently decides in combination with a laboratory safety knowledge base and a large language model; the virtual digital person of the application layer serves as an explicit manager, autonomously executes active inspection, risk early warning and emergency response tasks, and communicates with users through multi-modal interaction.
Owner:ZUNYI MEDICAL UNIV ZHUHAI CAMPUS