Advanced solar street lighting system with fault detection

Zakaria, Muhammad Danish and Mohd Saleh, Siti Aliyah and W Ibrahim, Wan Suhaifiza and Mohd Zain, Norlina (2025) Advanced solar street lighting system with fault detection. In: E-proceedings of international tinker innovation & entrepreneurship challenge (i-TIEC 2025). International Tinker Innovation & Entrepreneurship Challenge (2nd). Universiti Teknologi MARA Cawangan Johor Kampus Pasir Gudang, Universiti Teknologi MARA, Johor, pp. 238-243. ISBN 978-967-0033-34-1
Abstract

This innovative Advanced Solar Street Lighting System with Fault Detection optimizes energy use and enhances maintenance through advanced features. It integrates light-dependent resistor (LDR) sensors for automatic LED streetlight activation based on ambient light and passive infrared (PIR) sensors to adjust light intensity dynamically by detecting vehicles and pedestrians. Powered by a solar photovoltaic (PV) system, it operates independently of the grid, ensuring sustainability. Wi-Fi-enabled remote monitoring simplifies maintenance by enabling real- time fault detection, such as identifying damaged bulbs. The system offers significant advantages, including energy savings of up to 63.5% through LED technology, adaptive intensity control, and solar power. Its unique combination of automation, energy efficiency, and remote monitoring reduces carbon footprints, operational costs, and electricity bills. With strong commercialization potential, this system can be deployed as a stand-alone solution or integrated into smart city projects, improving urban safety, reducing greenhouse gas emissions, and lowering costs. It supports resilient infrastructure development while contributing to socio-economic benefits and environmental sustainability.

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