Time Series OLAP Tool for Landslide Mechanism Analysis
Yukihito Yamada, Yusuke Yokota, Hideyuki Takada, Hiromitsu Shimakawa · 2007
A sensor network is applied to prevent road slope disasters caused by local severe rain. A sensor network can acquire a lot of data for a long period of time. However, in order to employ the time series data efficiently, analysis is necessary to grasp a tendency, which is not easy to formulize. It is necessary to perform analysis from viewpoints, such as technical knowledge and the empirical rule. This paper proposes an OLAP which facilitates an expert to discover the feature of the time series data obtained from the subterranean sensor. This method considers a fragment over a fixed period of time on trend graph about variation of quantity to change with time. The minimum domain including all sets of a fragment with the same feature is called a time tube. Using an OLAP method, the expert can specify a time tube, and can discover the tendency of data clearly. Keyword Road slope disasters,Sensor network,Time series data,OLAP method