摘要
为了实现燃烧精确控制,降低氧化烧损,文章设计了基于残氧—模糊神经控制的燃烧系统,主要包括多点的自动化残氧监测、炉温数学控制模型和模糊逻辑技术。将该系统应用于工程实践中,氧化烧损率由1.011%降低至0.896%,吨钢单耗由94.4 m^(3)/t降至91.715 m^(3)/t,综合节能率2.84%;同时加热炉的整体温度进一步靠近标准温度,钢坯加热温度均匀性更好。
In order to achieve accurate combustion control and reduce oxidation burning loss,a combustion system based on residual oxygen-fuzzy neural control is designed,which mainly includes multi-point automatic residual oxygen monitoring,furnace temperature mathematical control model and fuzzy logic technology.The system is applied to engineering practice,the oxidation burn rate is reduced from 1.011%to 0.896%,the unit consumption of ton steel is reduced from 94.4 m^(3)/t to 91.715 m^(3)/t,and the comprehensive energy saving rate is 2.84%.At the same time,the overall temperature of the heating furnace is closer to the standard temperature,and the heating temperature uniformity of the billet is better.
作者
滕克勇
Teng Keyong(Guangxi Gaofeng Wuzhou Wood-Based Panel Co.,Ltd.)
出处
《冶金能源》
北大核心
2025年第2期66-70,共5页
Energy For Metallurgical Industry
基金
广西省科技示范项目(2023GXLK04)。
关键词
残氧监测
模糊逻辑技术
氧化烧损率
标准温度
residual oxygen monitoring
fuzzy logic technology
oxidation burn rate
standard temperature
