Development of a smart street lighting system with fault detection using IoT

Norizan, Zareen Zurika (2021) Development of a smart street lighting system with fault detection using IoT. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Many factors contribute to the importance of proper street lighting, one of which is safety. When we think of safety, the first thing that comes to mind is accident prevention. In general, embedded intelligent controllers based on the Internet of Things (IoT) may be designed with fault detection to pinpoint which street lights are malfunctioning. By implementing fault detection in the street light, monitoring and the management of the street lights will become easier for the lighting technician as they can know when to do the preventative maintenance and also corrective maintenance. By doing preventative maintenance before the street light suffered more damage, the cost of the maintenance can be reduced greatly and the energy and current that flow through will not be wasted. As a result, this project examines a variety of concerns and challenges, as well as several unexpected case studies resulting from a faulty street light. Based on the researches done on this literature reviews from different researches in creating a smart street light with fault detection, most of the studies show almost similar way of construction. The way of construction differs only if the component used differs. These approaches and observations gave a lot of things to be considered while completing this project. The approach used for this project is based on the other research's observation and considered all other factors that can be done in creating a smart street lighting system with fault detection.

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