钢铁企业大数据研发平台的建设与思考

摘要：通过分析当代大数据背景环境下的钢铁企业研发面临的新特点、新问题，提出了建设有助于解决钢铁企业研发问题的大数据研发平台。简要说明了构成钢铁企业大数据研发平台的钢铁冶金研发大数据管理分析服务应用系统、集成计算平台系统和机器学习平台系统的主要功能，并重点阐述钢铁企业大数据研发平台建设所遵循的主要原则和思路方法。最后通过对钢铁企业大数据研发平台建设的研究，基本可以解决钢铁企业研发过程中在数据处理或分析方面面临的问题，帮助钢铁企业研发模式实现由“经验+试错”上升到“计算+验证”的转变，同时还可以有效降低研发成本、提高研发效率，对未来钢铁企业大数据的发展具有重要的指导作用。

Construction and thinking of big data research and development platform for steel enterprises

By analyzing the new features and problems faced by steel enterprises in research and development at the contemporary big data background environment, a big data research and development platform of steel enterprises was proposed. The main functions of the big data management and analysis service application system, integrated computing platform system and machine learning platform system, which constitute the big data research and development platform of steel enterprises, were briefly described, and the main principles and ideas followed by the construction of the big data research and development platform of steel enterprises were also emphatically described. Finally, through the research on the construction of big data R&D platforms for steel enterprises, it can basically solve the problems faced by steel enterprises in data processing during the research and development process, and help steel companies to realize the research and development model from "experience + trial and error" to "calculation + verification". At the same time, it can effectively reduce the costs and improve the efficiency of research and development, which will play an important guiding role in the development of big data for steel companies in the future.