Abstract: This study presents a new method of working with timeseries data gathered from sensors. Researchers use natural time cycles of timeseries to create data packages of different type. Each data package is a small piece of timeseries data of fixed size and granularity, supported with statistical information and data quality certificate. Data quality certificate provides information about following aspects of data: syntactic, semantic, pragmatic and punctuation. This study contains a concept of data infrastructure and experimental results which proves significant increase of data extraction time and perform data quality certification of each data package. All experiments were performed on large time series data collected from electricity, water and gas meters in public buildings.
Anton Tyukov, Olga Khrzhanovskaya, Alexander Sokolov, Maxim Shcherbakov and Valerij Kamaev, 2015. Fast Access to Large Timeseries Datasets in SCADA Systems. Research Journal of Applied Sciences, 10: 12-16.