摘要
在精炼炉炼钢过程中,钢液终点温度是炼钢过程中的重要控制参数,出钢温度是否达标,对钢质量的好坏起着决定性的作用。传统的钢液温度控制方法多采用人工经验控制,但存在控制不精准及随机性等问题。为减少人为因素造成的控制误差,采用智能控制的方法代替人工经验。首先对影响其温度的众多因素归纳整理,采取现场500组炼钢参数进行数理统计研究,最终建立基于多元回归方程的终点温度控制模型,经数据验证表明,该模型能够控制钢液终点温度达到要求范围,并使得误差控制在5℃之内,最终实现精炼炉钢液终点温度控制。
The end temperature of the molten steel is an important control parameter in the process of steelmaking with the refining furnace.Whether the tapping temperature is up to standard or not plays a decisive role in the quality of the steel.Traditional steel liquid temperature control methods are mostly controlled by manual experience,but there are problems such as inaccurate control and randomness.In order to reduce the control error caused by human factors,intelligent control methods are used instead of artificial experience.Firstly,the factors affecting its temperature are summarized and analyzed.The 500-group steelmaking parameters are used to conduct mathematical statistics research.Finally,the endpoint temperature control model based on multiple regression equation is established.The data verifies that the model can control the temperature of the molten steel end point.The range,and the error is controlled within 5℃,finally achieving the temperature control of the molten steel end point of the refining furnace.
作者
王娜丹
张立广
王丽娟
Wang Nadan;Zhang Liguang;Wang Lijuan(College of Electronic Information Engineering,Xi’an Technology University,Xi’an 710021,China)
出处
《电子测量技术》
2019年第17期79-82,共4页
Electronic Measurement Technology
基金
陕西省科技厅项目(2017GY_194)
西安市科技局项目(2017075CG/RC038(XAGY009)资助
关键词
精炼炉
终点温度
控制模型
多元回归方程
refining furnace
endpoint temperature
control model
multiple regression model
