The Application of Association Rules in Boiler Operation Optimization based on Organizational Evolutionary

Complicated on linear relationships exist among many data in the real-time control-process of large power plant. And data-mining technology could And knowledge, analyze parameters and adjust them. This paper ascertained target-value by means of data mining, which supported energy-loss analysis. The paper introduced relative theory on data mining, studied and applied target-value model of thermal supervised parameters in the way of Organizational Evolutionary Algorithm. Across analyze real-time operating data of thermal units, and mined the target-value models for main supervised parameters of boiler. The results supply a new idea and effective method for target-value models.