IoT Enabled Smart Lighting System Using STM32 Microcontroller with High Performance ARM® Cortex®-M3 Core

Wu, S., Abdul Ghani, A. M., Ansari, S. , Imran, M. A. and Abbasi, Q. H. (2020) IoT Enabled Smart Lighting System Using STM32 Microcontroller with High Performance ARM® Cortex®-M3 Core. In: 5th International Conference on the UK-China Emerging Technologies (UCET 2020), Glasgow, UK, 20-21 Aug 2020, ISBN 9781728194882 (doi: 10.1109/UCET51115.2020.9205363)

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Abstract

Green technology for economically viable engineering designs and sustainable environment is highly desirable for future smart city applications. An intelligent system for operating and controlling lighting in order to save energy is developed and presented in this article. The system is implemented on Alibaba Cloud IoT platform on STM32 development board using STM32 medium-density performing microcontroller with high performance ARM ® Cortex ® -M3 RISC core. It includes communication between wireless sensors and actuators, and control of light sources. The HC-SR501 human infrared sensor is also used for detecting people and BH170 photosensitive sensor for synthetic brightness detection. The system includes indicators to represent three orders of magnitude of temperature sensor reading. The system developed in this work also features (i) an OLED display unit enabling users to view sensed data easily and (ii) Web platform-based User Interface (dashboard) for allowing users to easily interact with the system. The overall system provides a practical and interactive solution for data visualization and to remotely control light sources.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ansari, Dr Shuja and Abbasi, Professor Qammer and Imran, Professor Muhammad and Abdulghani, Dr Amir Mohamed
Authors: Wu, S., Abdul Ghani, A. M., Ansari, S., Imran, M. A., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781728194882
Copyright Holders:Copyright © 2020 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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