Big Data is the nowadays world current trend. Millions of sensors are connected to the everyday life devices, ingesting petabytes of data per day and helping companies improve their products. This paper provides an example of connecting the automation world with the Big Data world: sensor data streamed by real world operating machines is stored in databases, analysed and displayed in real-time dashboards with the intent of tracking the machines operating status and alerting the technicians in case maintenance is needed.

Big Data for advanced monitoring system: An approach to manage system complexity / Longo, C. S.; Fantuzzi, C.; Monica, F.; Manfredotti, L.; Sorge, M.. - 2018-:(2018), pp. 341-346. (Intervento presentato al convegno 14th IEEE International Conference on Automation Science and Engineering, CASE 2018 tenutosi a Technical University Munich, deu nel 2018) [10.1109/COASE.2018.8560552].

Big Data for advanced monitoring system: An approach to manage system complexity

Longo C. S.;Fantuzzi C.;Manfredotti L.;Sorge M.
2018

Abstract

Big Data is the nowadays world current trend. Millions of sensors are connected to the everyday life devices, ingesting petabytes of data per day and helping companies improve their products. This paper provides an example of connecting the automation world with the Big Data world: sensor data streamed by real world operating machines is stored in databases, analysed and displayed in real-time dashboards with the intent of tracking the machines operating status and alerting the technicians in case maintenance is needed.
2018
14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Technical University Munich, deu
2018
2018-
341
346
Longo, C. S.; Fantuzzi, C.; Monica, F.; Manfredotti, L.; Sorge, M.
Big Data for advanced monitoring system: An approach to manage system complexity / Longo, C. S.; Fantuzzi, C.; Monica, F.; Manfredotti, L.; Sorge, M.. - 2018-:(2018), pp. 341-346. (Intervento presentato al convegno 14th IEEE International Conference on Automation Science and Engineering, CASE 2018 tenutosi a Technical University Munich, deu nel 2018) [10.1109/COASE.2018.8560552].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1223041
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