An industrial IoT sensor system for high-temperature measurement


The world is changing, with more systems becoming automated through the Internet of Things (IoT). By the end of 2020, 38.5 billion connected devices are expected to be part of the IoT, which is an increase of 25.1 billion from 2015. With the digital revolution thoroughly underway, companies have been fully aware that statistical data can help their businesses thrive and increase efficiency. In this paper, the design and implementation of an Arduino sensor system used to record the temperature and location of ladle vessels for metallurgical purposes is presented. The Arduino microcontroller has multiple modules connected to it, including a K-Type thermocouple, Global-Positioning System (GPS) Shield, Real-time clock, and a Bluetooth module. Additionally, our system was fully tested to demonstrate that it could measure 1220 Celsius for twenty-two hours. Our work can contribute to the development of Industrial IoT and smart sensor services.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2021 Elsevier Ltd. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License Funding Information: The authors pay gratitude to the Material Processing Institute, Middlesbrough, UK, for allowing us to use their facilities and continued support throughout the project. This work is also partly supported by VC Research (VCR 0000055).
Uncontrolled Keywords: Case studies for smart sensors,IoT sensor system,Smart sensor systems, Industrial IoT (IIoT),Temperature and location of ladle vessels,Control and Systems Engineering,Computer Science(all),Electrical and Electronic Engineering
Publication ISSN: 0045-7906
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 045790621003992 (Publisher URL)
PURE Output Type: Article
Published Date: 2021-10
Published Online Date: 2021-09-06
Accepted Date: 2021-08-31
Authors: Chang, Victor (ORCID Profile 0000-0002-8012-5852)
Martin, Craig

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