Research On Soft Measurement Model Of The Carbon Content In Fly Ash Of Thermal Power Units

With the continued development of the world, energy shortages have become increasingly prominent, and the effective utilization of energy is an important symbol of the development of production technology and living standards, is also an important issue of economic development. At present, the power industry has become China’s most important energy industry, therefore, strive to improve the power generation efficiency and reduce the cost of electricity has become an important task of the development direction of the major power companies in China.Unburned carbon in fly ash is an important indicator reflecting the boiler combustion efficiency of coal-fired power plant, accurate and real-time monitoring of unburned carbon will help improve boiler combustion control levels, reduce electricity costs and improve the economics of plant operation, but also help to improve the taste of ash, soot promote commercialization. However, due to limited industrial level, the traditional off-line measurement technology has sample is not representative, unstable operation and measurement data real-time and low defect, can not effectively guide the boiler operation, which can not be good to improve the efficiency of the boiler. In this paper, a soft measurement technique of unburned carbon in fly ash is proposed based BP neural network modeling,and adding auxiliary variables of coal quality parameters and elements of real-time online monitoring base mechanism modeling Analysis,it makes this model different from the usual run of the neural network model based solely on data.and then finally the use of principal component analysis process input variables To reduce the dimension of the input, reducing the complexity of the model to make the model more accurate and reliable. Experimental results show that, compared with other the traditional model, optimization BP neural network model has good generalization ability to calculate fast and accurate, it is a good kind of soft measurement model of unburned carbon in fly ash.