Bibliographische Detailangaben
| Titel: |
Development of a Real-Time Monitoring Model for Solar-Powered Street Lighting Systems Using Internet of Things. |
| Autoren: |
Putri, Ratna Ika, Radianto, Donny, Amalia, Zakiyah, Abdullah, Ade Gafar, Zakaria, Diky, Hakim, Dadang Lukman |
| Quelle: |
Engineering, Technology & Applied Science Research; Dec2025, Vol. 15 Issue 6, p29186-29193, 8p |
| Schlagwörter: |
INTERNET of things, SUSTAINABILITY, INTERNET access, OPERATIONS research, MULTISENSOR data fusion, ENERGY consumption, REAL-time computing |
| Abstract: |
Street lighting is a significant component of safe driving during the afternoon and nighttime when sunlight is unavailable, as it enhances drivers’ visibility of the road, other vehicles, and surrounding areas. Lately, the integration of solar panels as the primary power source for streetlights has emerged as a promising, environmentally sustainable alternative for reducing energy consumption. However, because solar energy output is strongly affected by environmental conditions, a real-time monitoring system is essential for ensuring effective operation. This study presents the design of a monitoring system for solar-powered street lighting that integrates sensors to measure temperature, humidity, sunlight intensity, the voltage and current of solar panels, batteries, and lamps, from which the power output of each component is calculated. The measured data are displayed locally on a Thin Film Transistor (TFT) Liquid Crystal Display (LCD) and simultaneously transmitted to a cloud for remote access through a web interface. Performance evaluations confirm the system’s accuracy, with average measurement errors of 1.7% for temperature and humidity, 0.8% for voltage, and 1.5% for current. These results demonstrate that the system provides reliable real-time monitoring, thereby enhancing the efficiency, reliability, and maintainability of solar-powered street lighting systems. [ABSTRACT FROM AUTHOR] |
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| Datenbank: |
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