Fast and accurate measurement of coal calorific value is very important for monitoring the running state of thermal power plants and optimizing the control system.This paper studies a new method of information fusion based on Kalman filter.The Kalman filter is combined with two different calculation methods for coal calorific value

one is based on the load-pressure dynamic model

and the other uses the steady state operation data to analyze the coal elements and then calculate the coal calorific value by the Mendeleev Formula.Via taking advantages of these two methods

the soft measurement results of coal calorific value with high static accuracy and dynamic characteristics can be obtained.The simulation test and actual operation data show that

the static relative error of this method is below 3%and the dynamic response delay time is less than 100 s.