As it is well known, deposits in boilers contribute to boiler inefficiency, capacity reductions, and overheated tubes, which lead to tube failures. To improve the heat transfer inside the furnace the fouling deposits obviously should be removed. In order to take fouling into account in the overall furnace and boiler heat balance it is necessary to measure two main parameters — thickness of the deposits and their reflectivity (emissivity) in the wavelength of visible and IR region. In the present paper it is demonstrated how such measurement (see detailed description in Ref [1–3] can be used for on-line automatic sootblowing control. Results of our study demonstrate that dynamics of both parameters (contamination thickness and reflectivity) on the operated boiler can be registered in real time and then interpreted separately. The sootblowing boiler monitoring has been implemented at the 550 MW unit equipped with B&W opposite wall burners. The fouling and thickness sensors (FTR) were installed in different locations of the combustion chamber through its width and height. It was shown that dynamics of thickness and reflectivity variation just after the wall cleaning activation are quite different. Situations have been registered where changes of reflectivity have a significant impact on heat transfer, comparable and sometimes even greater than that of growing fouling thickness. Technique and device exploited in this study appears to be a very useful tool for sootblowing optimization and, as a result, for improvement of boiler efficiency and reduction of water wall erosion and corrosion. The paper presents a strategy to implement a comprehensive automatic control of soot blowing in power plant boilers. The paper will describe the existing installations where individual components are in operation, and describe an integrated system that could combine all these parts to make an integrated intelligent sootblowing system.