Visual Perception and Energy-Saving Control for LF Refining
June 1, 2023
This project linked visual perception with process control for ladle-furnace refining. It combines furnace imaging and slag-state analysis with a bottom-blowing control model connected to the plant PLC. Partner and site identifiers are omitted.
System scope
- process imaging at the LF furnace;
- visual analysis of slag state;
- bottom-blowing mode selection and control logic;
- PLC communication and integration with production software.
The public page reports the system boundary and completed integration only; confidential operating settings and plant-specific control rules are not disclosed.
Authors
PhD Candidate
Youcheng Zong is a PhD candidate in Control Science and Engineering at Northeastern University, China. He develops LLM-based methods for industrial forecasting, measurement correction, model adaptation, and decision support. He also studies structure-aware visual analysis for medical imaging.
