This project, led by Prof. Yang Chunjie from CSE, won the first prize pf Zhejiang Provincial Technology Progress Award. The group present inventions of data driven multivariate hot metal quality online high-precision perception, multisource information fusion soft sensor modeling of FeO content in sintering process, fault diagnosis of blast furnace ironmaking based on deep weighted joint distribution adaptation network, dynamic bayesian network driven self-healing control for blast furnace faults, and recursive subspace identification for online modeling and predictive control of hot metal quality, etc. The group developed a high-performance intelligent operation control system for the blast furnace ironmaking process, achieving high-quality, efficient, and low-carbon operation in iron production. Significant breakthroughs have elevated the level of intelligence and greening in the steel industry, with notable economic and social benefits.
