Intelligent Transformation and State Recognition for Blast-Furnace Iron Tapping
December 1, 2022
The system combines field instrumentation and communication with molten-iron level tracking, Bi-GRU state recognition, post-processing, and an operator interface. The industrial partner and furnace identifiers are omitted from the public version.
Technical focus
- continuous extraction of level-related process signals;
- temporal state recognition using a Bi-GRU composite model;
- post-processing rules for stable tapping-state decisions;
- integration of algorithm services with industrial data and visualization.
Public outputs
The work led to two first-author journal articles and the first-inventor patent CN116678473B, which covers a method for judging the tapping state of a blast-furnace hot-metal ladle.
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.
