Open AccessAutomated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance
Author(s) -
Martin Curman,
Davor Kolar,
Dragutin Lisjak,
Tihomir Opetuk
Publication year - 2021
Publication title -
tehnički glasnik
Language(s) - English
Resource type - Journals
eISSN - 1848-5588
pISSN - 1846-6168
DOI - 10.31803/tg-20210728122543
Subject(s) - data collection , internet of things , computer science , predictive maintenance , the internet , automation , productivity , data exchange , systems engineering , real time computing , reliability engineering , embedded system , engineering , database , world wide web , mechanical engineering , statistics , mathematics , economics , macroeconomics
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 topresent the development of the Industrial Internet of Things data collection system, which relies on Tinkerforge IoT modules, that enables automated data collection alongsidecontrol 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.