Event Detection using Archived Smart House Sensor Data obtained using Symbolic Aggregate Approximation

摘要

In recent years, the widespread usage of network and sensor technologies has resulted in an increased number of applications that use various types of sensors. We propose the development of a futuristic house that can adapt to rapid changes in information technology. This project is called "The Ocha House Project." We focused on data obtained using sensors and proposed and implemented a database system, which stores information pertaining to critical parameters in the house. This system conform the basis for developing other applications. We used the symbolic aggregate approximation (SAX) to quickly retrieve data. SAX converts data from a time series into a string. In addition, we created an index by applying suffix trees. In this study, we investigated queries that can be used for detecting events in a smart house using the SAX index and archived sensor data.