The forecasting model of fouling rate on convective heat transfer surface is deduced, the fouling monitoring and sootblowing optimization model are built, and the sootblowing optimization system is set up in this paper. The intelligent sootblowing advisory system is conducted in a 600MW utility boiler. This system could improve boiler efficiency, reduce steam consumption, extend tubes’ life. The operation of sootblowers is very complicated to utility boiler in security and economy. As it is an arduous process to build the sootblowing optimization model and sootblowing strategy, so there are still further more to be investigated in many aspects.

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