The Research And Application Of The Soft Sensing Of Oxygen Content In Flue Gases Based On Data Fusion

The accurate measurement of oxygen content in flue gases is significant for the improvement of the economic combustion.The soft-sensing technique and data fusion are used to measure oxygen content in flue gases in this thesis.Firstly,proposed a new soft-sensing model of oxygen content through mechanism analysis.Then constructed the configuration based on the soft-sensing models and applied on 600 MW machines of KEMEN power station.The testing and comparison experiment results show that the output of soft-sensing model fits well with the practical oxygen content.Furthermore, the soft-sensing model based on mechanism analysis only used the existing signals.With respect to the traditional oxymeter,the new method performs more reliable,accurate and convenient.Besides,in future the soft-sensing model can also use in other areas such as control and equipment fault diagnosis.So the proposed method of our paper is valuable in industry applications.