Context-Aware System for Smart Manufacturing

Brief Description

This technology introduces a novel context-aware system designed to enhance smart manufacturing through real- time, actionable intelligence derived from worker-machine interactions.

Full Description

Researchers at UCI have developed a human-machine interaction framework that employs causality to identify normal and abnormal machine operations. By integrating power meters and cameras, the system collects and analyzes real-time data on worker-machine interactions. This technology enhances operational efficiency and enables anomaly detection in manufacturing processes.

Suggested uses

• Semiconductor fabrication and other precision manufacturing environments. 
• Development of auxiliary advisory tools for existing manufacturing control systems. 
• Energy and material consumption optimization. 
• Adaptive learning systems for object recognition and process monitoring

Advantages

• Enhances operational integrity and energy productivity. 
• Improves machine prognostics and health management. 
• Enables real-time actionable intelligence for factory floor workers and supervisors. 
• Reduces the need for manual data labeling and model training. 
• Supports dynamic adjustment of manufacturing processes for fault prevention and workflow optimization.

Patent Status

Related Materials

• Y. Ren, G. P. Li, A contextual sensor system for non-intrusive machine status and energy monitoring, Journal of Manufacturing Systems, 2022