Abstract
Abstract—The advent of technology and infrastructure for
4G/5G/6G along with IoT/Web3.0 concepts are catalyzing smart
cities development and can be deployed for improving the lives
of citizens and residents. A key pillar of smarter cities is the use
of technology to help increase energy efficiency and reduce
carbon emissions and pollution. Many of the various techniques
applicable within industrial, commercial, and residential sectors
for this purpose require accurate energy use and signal
modelling of assets and infrastructure to function effectively. In
this paper authors present and test a prototype of a low-cost,
real-time IoT-based Energy-Aware Distributed Control System
(eDCS) platform. The platform is intended to support combined
signal/energy modelling and control in industrial process
applications. A Prototype of a flexible, Arduino-based Edge
device for signal capture, advanced control and power/energy
monitoring is developed and validated on a heat treatment
furnace and a process trainer. IoT connections allows integration
of the process and energy signals into a commercial SCADA
(supervisory control and data acquisition) system. Initial
interfacing and modelling results are presented in the paper.
Energy-aware control of relevant assets forms a future work.
Keywords— Smart Cities, Internet of Things, Sustainability,
Energy Efficiency, Remote Monitoring, Industrial Manufacturing
4G/5G/6G along with IoT/Web3.0 concepts are catalyzing smart
cities development and can be deployed for improving the lives
of citizens and residents. A key pillar of smarter cities is the use
of technology to help increase energy efficiency and reduce
carbon emissions and pollution. Many of the various techniques
applicable within industrial, commercial, and residential sectors
for this purpose require accurate energy use and signal
modelling of assets and infrastructure to function effectively. In
this paper authors present and test a prototype of a low-cost,
real-time IoT-based Energy-Aware Distributed Control System
(eDCS) platform. The platform is intended to support combined
signal/energy modelling and control in industrial process
applications. A Prototype of a flexible, Arduino-based Edge
device for signal capture, advanced control and power/energy
monitoring is developed and validated on a heat treatment
furnace and a process trainer. IoT connections allows integration
of the process and energy signals into a commercial SCADA
(supervisory control and data acquisition) system. Initial
interfacing and modelling results are presented in the paper.
Energy-aware control of relevant assets forms a future work.
Keywords— Smart Cities, Internet of Things, Sustainability,
Energy Efficiency, Remote Monitoring, Industrial Manufacturing
| Original language | English |
|---|---|
| Number of pages | 8 |
| Publication status | Published - 22 Aug 2023 |
| Event | IEEE Smart World Congress 2023: IoT for Sustainable Smart Cities - Portsmouth, United Kingdom Duration: 28 Aug 2023 → 31 Aug 2023 https://ieee-smart-world-congress.org/ |
Conference
| Conference | IEEE Smart World Congress 2023 |
|---|---|
| Abbreviated title | https://ieee-smart-world-congress.org/ |
| Country/Territory | United Kingdom |
| City | Portsmouth |
| Period | 28/08/23 → 31/08/23 |
| Internet address |