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2021 | OriginalPaper | Buchkapitel

Data Acquisition Using IoT Sensors for Smart Manufacturing Domain

verfasst von : Pooja Kamat, Malav Shah, Vedang Lad, Priyank Desai, Yaj Vikani, Dhruv Savani

Erschienen in: Innovations in Information and Communication Technologies (IICT-2020)

Verlag: Springer International Publishing

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Abstract

The Internet of things (IoT) showed gigantic development in recent trends of industrial, medical and environmental applications. Due to the huge computational power in the cloud, opportunities for complete industrial device automation have emerged. The uninterrupted monitoring and beforehand fault detection of the machines build efficient process control in the automation process. Analysing data acquired from various IoT sensors with the help of suitable data processing algorithms combined with artificial intelligence (AI) can help achieve predictive maintenance of industrial equipment, production lines as well as home appliances. This will significantly help in improving the service life of appliances as well as reduce the servicing cost by diagnosing active faults. This research paper focuses on developing an IoT-based fault detection system by connecting various sensors to the equipment and capturing their data using the sensors and storing them in the cloud platform for further analysis. Further data analytics applied on the accumulated sensor data can be useful to carry out predictive maintainence of the equipment.

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Titel: Data Acquisition Using IoT Sensors for Smart Manufacturing Domain
verfasst von: Pooja Kamat
Malav Shah
Vedang Lad
Priyank Desai
Yaj Vikani
Dhruv Savani
Verlag: Springer International Publishing
Buch: Innovations in Information and Communication Technologies (IICT-2020)
Print ISBN: 978-3-030-66217-2

Electronic ISBN: 978-3-030-66218-9

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-66218-9_46

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