基于神经网络的火电厂烟气含氧量软测量
SOFT-SENSING OF O2 CONTENT IN FLUE GAS OF POWER PLANT BASED ON NEURAL NETWORKS
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摘要: 介绍了测量仪表及过程控制中的软测量技术．讨论了软测量技术的有关问题和开发策略．提出了基于一种复合型神经网络的火电厂烟气含氧量软测量模型，并且用它对火电厂烟气含氧量的软测量进行了建模仿真验证，现场不同负荷下的实测数据仿真验证结果表明了软测量方法的有效性．最后给出了应用前景展望．Abstract: This paper presents the soft-sensing technology and problems related with its application in industry. Soft sensor model based on feedforward neural network for O2 content in flue gas of power plant is put forward, a simulation of O2 content in flue gas of power plant is given. The results show that soft sensor technique is effective.
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