Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance
| Autor: | Martin Curman, Davor Kolar, Dragutin Lisjak, Tihomir Opetuk |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Tehnički Glasnik, Vol 15, Iss 3, Pp 401-409 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1846-6168 1848-5588 |
| Popis: | Maintenance 4.0 is a concept that involves the use of IIoT (Industrial Internet of Things) technology to connect maintenance objects, which enables remote data collection, information exchange, analysis and potential improvement in productivity and efficiency, as well as planning maintenance activities. The purpose of this paper is to present the development of the Industrial Internet of Things data collection system, which relies on Tinkerforge IoT modules, that enables automated data collection alongside control of sensor and data collection parameters. To evaluate the ability of the system, an experiment was conducted where two equipment states were simulated using a rotational equipment failure simulator. The experiment determined that the presented IIoT system had successfully gathered information and that there is a clear distinction in acceleration patterns when simulating two different equipment states. |
| Databáze: | Directory of Open Access Journals |
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