Big Data Analysis for Sensor Time-Series in Automation

V. Jirkovsky, M. Obitko,P. Novak, P. Kadera:
"Big Data Analysis for Sensor Time-Series in Automation";
Vortrag: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Barcelona, Spain; 16.09.2014 - 19.09.2014; in:"Proceedings of the 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)", IEEE, (2014), ISBN: 978-1-4799-4845-1; S. 1 - 8.

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Abstract:


The trend of large scale data production is observed not only within web companies, but is entering also other domains including automation domain. Smart sensors and smart devices contribute to growing amounts of data that need to be processed. An example of processing is prediction for better control, clustering for more effective maintenance, or improving the overall production in gen-
eral. The so called Big Data paradigm shows new ways of handling bigger amounts of various data, including providing technologies that are able to handle them in an effective way. This paper examines the utilization of Big Data technologies for industry automation domain. The approach is illustrated on time series data measured from
a passive house with the goal of detecting specific events. We show how the Big Data technologies allow data analysis that would be hard with traditional approaches.