Gan, S, Li, K, Wang, Y et al. (1 more author) (2018) IoT Based Energy Consumption Monitoring Platform for Industrial Processes. In: 2018 UKACC 12th International Conference on Control (CONTROL). CONTROL 2018, 05-07 Sep 2018, Sheffield, UK. IEEE , pp. 236-240. ISBN 9781538628645
Abstract
Reducing the energy consumption is a major concern faced by industries worldwide to improve the economic performance while to reduce its CO2 footprint, and monitoring the energy usage at the component level is essential [1]. This paper presents a design of an IoT (Internet of Things) based interactive system which combines non-invasive sensors and data acquisition apparatus, robust communication networks, clouds-based databases and web servers to achieve real-time monitoring of energy usage in industries. The collected energy consumption data are published to the data centre automatically through the wireless communication network using the MQTT protocol, while a web server driven by Apache is developed to provide a human-data interaction dashboard in B/S (Browser I Server) structure. The system can not only assist industrial energy management but also provide a platform to improve energy-saving, emission reduction, along with other potentials. The system has been implemented in a local bakery company, confirming its applicability for remote real-time monitoring of energy consumption in the industry.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jan 2019 09:57 |
Last Modified: | 16 Feb 2019 17:05 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/CONTROL.2018.8516828 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140447 |