The application of operation optimization decision support system based on data mining in power plant

The research and application of the operation optimization are very active now, but there are still some problems in this field, for example, the accurate process model is hard to establish for current complex industry process. So they can not instruct operation optimization very well. As more and more real-time data are sent and stored into database, abundantly valuable knowledge exists in the history data. This paper proposed the operation optimization decision support system based on data warehouse and data mining. The synthetic structure of the operation optimization DSS and the design scheme of its sub-systems are put forward and explicated, at the same time, the fuzzy association rule is introduced in this paper to mine the optimal operation value of a 300WM unit from large amount of history data in power plant. The optimal values are provided to the operators to guide the operation online and great success has been achieved in the industry process.