首页|Intelligent smelting process,management system:Efficient and intelligent management strategy by incorporating large language model
Intelligent smelting process,management system:Efficient and intelligent management strategy by incorporating large language model
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
万方数据
In the steelmaking industry,enhancing production cost-effectiveness and operational efficiency requires the integration of intelligent systems to support production activities.Thus,effectively integrating various production modules is crucial to enable collaborative oper-ations throughout the entire production chain,reducing management costs and complexities.This paper proposes,for the first time,the integration of Vision-Language Model(VLM)and Large Language Model(LLM)tech-nologies in the steel manufacturing domain,creating a novel steelmaking process management system.The system facilitates data collection,analysis,visualization,and intelligent dialogue for the steelmaking process.The VLM module provides textual descriptions for slab defect detection,while LLM technology supports the analysis of production data and intelligent question-answering.The feasibility,superiority,and effectiveness of the system are demonstrated through production data and comparative experiments.The system has significantly lowered costs and enhanced operational understanding,marking a critical step toward intelligent and cost-effective management in the steelmaking domain.
smelting steelprocess managementlarge language modelsintelligent Q & AChatGPT
Tianjie FU、Shimin LIU、Peiyu LI
展开 >
The School of Mechanical Engineering,Zhejiang University,Hangzhou 310058,China
Department of Industrial and Systems Engineering,The Hong Kong Polytechnic University,Hong Kong,China
State Key Laboratory of Ultra-precision Machining Technology,Department of Industrial Systems and Engineering,The Hong Kong Polytechnic University,Hong Kong,China