Intelligent Injection-Molding Risk Assessment System
Per-machine early warning, real-time line-level risk assessment, anomaly localization and parameter recommendation, deployed with REthink Technology
Project Overview
Dozens of injection machines run simultaneously and anomalies never queue up politely. This system gives each machine independent early warning, aggregates line-level risk in real time, and recommends parameter adjustments when anomalies strike.
Research Objectives
Independent early-warning per machine
Real-time line-level risk assessment
Automatic anomaly localization with process parameter recommendation
Methodology
Machine-level predictive analytics combined with line-level risk aggregation; parameter recommendations derived from historical operating conditions.
Key Results
Productized and deployed with REthink Technology
Case featured in the books Industrial Big Data and Industrial AI
Real-Time Optimization of Production Operations