借助冶金流程工程学理论，将钢铁流程绿色化与智能化关键控制要素进行有机融合，以产品质量窄窗口智能化稳定控制为导向，寻找潜力挖掘的突破口，对关键工序功能优化和界面技术做深度开发，在发散、多变的流程输入端与不断聚焦、多目标协同优化的流程输出端之间，强化新工艺的支撑作用、数据库和精准控制模型的建立，将钢水质量控制全过程所涉及的不同工序间调控参数组合与所追求的钢水质量控制效果之间，构建起应变能力强、高效的自学习、自适应知识架构，实现对钢水质量的窄窗口稳定控制和智能化寻优，为钢铁流程技术跨越式发展提供关键技术支撑。当前我国钢材产品质量波动性大、难以与下游用户建立可信赖的关系，品牌增值缓慢，很大程度上要归结于钢水质量的波动范围大。本课题将针对提高钢水质量这个重要环节，重点围绕钢水质量综合评价、铁水预处理-转炉炼钢-钢水精炼等工序的功能定位与解析优化、转炉底吹氧气和石灰粉高效稳定脱磷、锰矿熔融还原、高拉碳出钢、转炉自动化与智能化吹炼等关键技术

进行研发和工程化实施，形成系统集成技术，以期获得低成本、高效化、稳定性生产洁净钢水之效果，为提高钢材品质和实现定制化生产提供强有力的技术支持。

With the help of metallurgical process engineering theory, the key control elements of green and intelligent steel process are organically integrated. Guided by the intelligent and stable control of narrow product quality window, the breakthrough of potential mining is sought, and the function optimization and interface technology of key processes are deeply developed. Between the divergent and changeable process input end and the process output end of continuous focusing and multi-objective collaborative optimization, the supporting role of the new process, the establishment of the database and the precise control model are strengthened, and the combination of control parameters between different processes involved in the whole process of molten steel quality control and the quality control effect of molten steel pursued are between. A strong and efficient self-learning and adaptive knowledge architecture with strong strain capacity is constructed to realize the narrow window stable control and intelligent optimization of molten steel quality and provide key technical support for the leapfrog development of steel process technology. At present, the quality of steel products in China is volatile, and it is difficult to establish a reliable relationship with downstream users. The slow increase of brand value is largely due to the large fluctuation range of molten steel quality. In order to improve the quality of molten steel, this paper will focus on the comprehensive evaluation of molten steel quality, the functional orientation and analytical optimization of molten steel pretreatment-converter steelmaking-refining process, the efficient and stable dephosphorization of oxygen and lime powder at the bottom of the converter, the smelting reduction of manganese ore, high carbon tapping, converter automation and intelligent blowing and other key technologies for research and engineering implementation, forming system integration technology, in order to obtain the effect of low cost, high efficiency and stable production of clean molten steel, and provide strong technical support for improving the quality of steel and realizing customized production.