Open AccessCloud based automatic street lighting control system
Author(s) -
Manal F. Younis,
Sarah Sadeq Salim
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1973/1/012112
Subject(s) - microcontroller , real time computing , arduino , computer science , cloud computing , energy consumption , control system , automotive engineering , energy (signal processing) , control unit , embedded system , computer hardware , simulation , engineering , electrical engineering , operating system , statistics , mathematics
Conventional street lighting control systems is manual control, light sensitive control, and simple timing control while energy consumption and operators are unable to monitor street lights, that significantly disrupts management and maintenance. This work is based on the idea of maximize the maintaining and minimize an energy loss. Much of the energy produced daytime is saved in a solar cell and then will use to glow street lights throughout the night. The system also provides an energy-efficient operation mode by adapting the automated method. The lights switch on/off automatically according to vehicle movement or day/night sensor as well as to reduce management cost and monitor status information for each street lighting unit. In this paper two sensors are utilized that are Light Dependent Resistor (LDR) sensor to signalize a day/night time and Infrared Obstacle (IR) sensors to discover the movement on the street. Arduino microcontroller is utilized as a brain to control the street lighting system. In the other hand sensors data are analyzed and stored in Thingspeak cloud after are sent by Arduino UNO. Experimental results show that the system is stable and reliable as it can be applied as a model system.