从提升钢材质量、废钢利用和系统节能入手,基于物质流、能量流、信息流耦合规律,针对钢铁流程绿色化和智能化协同、多尺度能效评估方法及能效提升规律等关键科学问题开展以下研究:
1)研究钢铁流程多尺度能效评估方法:分析典型钢铁流程,综合考虑系统节能、废钢回收利用、能量流网络等多个维度,建立钢铁流程多尺度能效评估方法。
2) 研究能效提升规律:以典型钢铁流程为基础,结合能效评估方法,构建铁前-轧钢生产过程用能仿真系统,研究能效提升规律。
3)铁水预处理-连铸生产过程的质量智能管控方法:基于物质流、能量流和信息流的耦合,针对不同钢材质量要求,研究铁水预处理-连铸生产过程的质量智能管控方法。
4)构建铁素流质量智能管控仿真系统:针对典型钢材生产流程,结合铁水预处理-连铸区段的质量智能管控方法,构建典型钢材生产流程的铁素流质量的智能管控仿真系统,预报各阶段主要质量指标,并实时显示,预测不同流程的运行质量。
5)研究钢铁流程绿色化与智能化协同机理:在提高钢材品质基础上,从流程架构角度,综合“生产过程用能仿真” 和“铁素流质量智能管控仿真”,建立绿色化与智能化协同管控模型、数据库和仿真平台,研究钢铁流程绿色化与智能化协同机理。
Starting with the improvement of steel quality, scrap utilization and system energy saving, based on the coupling law of material flow, energy flow and information flow, this topic carries out the following research on key scientific issues such as green and intelligent coordination of steel process, multi-scale energy efficiency evaluation method and energy efficiency improvement Law:
1) Study the multi-scale energy efficiency evaluation method of iron and steel process: analyze the typical iron and steel process, comprehensively consider the multiple dimensions of system energy saving, scrap recycling and energy flow network, and establish the multi-scale energy efficiency evaluation method of iron and steel process.
2) Research on the law of energy efficiency improvement: Based on the typical steel process and combined with the energy efficiency evaluation method, build the energy consumption simulation system of pre iron rolling production process to study the law of energy efficiency improvement.
3) Intelligent quality control method of hot metal pretreatment continuous casting production process: Based on the coupling of material flow, energy flow and information flow, the intelligent quality control method of hot metal pretreatment continuous casting production process is studied according to different steel quality requirements.
4) Build ferrite flow quality intelligent control simulation system: for typical steel production process, combined with the quality intelligent control method of hot metal pretreatment continuous casting section, build an intelligent control simulation system for ferrite flow quality of typical steel production process, predict the main quality indicators in each stage, display them in real time, and predict the operation quality of different processes.
5) Research on the collaborative mechanism of green and intelligent iron and steel process: on the basis of improving steel quality, from the perspective of process architecture, integrate "energy consumption simulation in production process" and "intelligent control simulation of ferrite flow quality", establish green and intelligent collaborative control model, database and simulation platform, and study the collaborative mechanism of green and intelligent iron and steel process.