The Supervisory Information System (SIS) [1]is widely installed in power plant of more than 300MW. Its massive data contains valuable information and resources which requires further excavation. In this paper a way of working conditions analysis based on cluster-based data mining algorithm is explored and experimented to SIS. The results illustrate that the way can identify and analyze the working conditions very well.
characteristics of current MIS System are massive data、diverse data and complex functions. This kind of System requires higher requirement to Storage and Computing. This paper proposes a way to resolve it by build cloud computing platform by making full use of large number of idle computers.