摘要
针对甘蔗糖厂蔗渣锅炉的特点,分析设计了燃烧控制系统的控制任务,本文采用BP神经网络对蔗渣锅炉燃烧控制系统进行优化。该系统成功应用于弄璋糖厂,保证了锅炉供汽的工艺要求和锅炉的经济效益和运行安全,减轻了人工劳动强度,经济、环保效益显著。
According to the characteristics of bagasse boiler in sugar mill, this paper analyzed and designed the control task of the combustion control system. BP neural network was applied to optimize combustion control system of bagasse boiler. This system had been used in Nongzhang Sugar Mill successfully, after using the system, meets the technological requirements of steam from the boiler, meets on boiler economical burning and safety run, reduces the labor intensity, and the economic benefits and environmental advantage is remarkable.
作者
秦会敏
秦健南
叶权圣
黄爽
陈建斌
QIN Hui-min;QIN Jian-nan;YE Quan-sheng;Huang Shuang;Chen Jian-bin(Guangdong Provincial Bioengineering Institute（Guangzhou Sugarcane Industry Research Institute）/Guangdong Key Lab of Sugarcane Improvement ＆ Biorefinery,Guangzhou 510316)
出处
《甘蔗糖业》
2018年第3期49-53,共5页
Sugarcane and Canesugar
基金
广东省科学院科研平台环境与能力建设专项资金项目(2016GDASPT-0208)
