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. Through the analysis of the existing model and the history data of eDNA, find the shortcoming of the model. Then based on the history data, airflow model is validated and multi-sensor data fusion technique is used to acquire accurate coal heating value in time, this soft-sensing model fit well with the practical oxygen content, which is illustrated by the simulations. At last, some reason which result the error between the practical oxygen and the improved model are found。...