Application on decomposing furnace temperature system of cement rotary kiln both prove the efficiency of the proposed methods.
并根据当前过程状态引入灰色模型预转窑分解炉温控系统的实际应用表明该方法具有良好的控制性能和实用价值。
参考来源 - 基于灰色模型的预测模糊控制策略及其应用研究When the furnace temperature was over 1300℃,the NO_x emission was greatly increased either in the oxidizing atmosphere or in the reducing atmosphere,so the temperature of main combustion zone had best controlled below 1300℃.
无论是在氧化性气氛还是在还原性气氛下,当炉温超过1300℃,NO_x生成量将大幅度的增加,因此主燃区温度最好控制在1300℃以下。
参考来源 - 420t/h锅炉SOFA低NO·2,447,543篇论文数据,部分数据来源于NoteExpress
This paper introduces a typical system foe furnace temperature control.
本文介绍一个典型的炉温微机控制系统。
Black body furnace temperature time series prediction model based on BPNN was built.
文章在神经网络的基础上,建立了黑体炉温度时序预测模型。
At present, the mainly method used in glass furnace temperature control is PID control.
玻璃窑炉温度系统现有的控制方法主要是传统的PID控制。
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