IoT based Energy Efficient Smart Street Lighting Technique with Air Quality Monitoring
Syed Najeeb Ali Kazmi, Abasin Ulasyar, Muhammad Faisal Nadeem Khan
Abstract
This paper presents an Internet of Things (IoT) based solar and piezoelectric powered street lighting system focusing on energy conservation, automation, air quality monitoring and detection of faulty streetlights. It presents a hybrid and dynamic IoT based approach for smart street lighting system (SSLS) along with real time online monitoring of air quality. The free energy generation from solar panels and piezoelectric transducers makes the proposed SSLS a standalone infrastructure. It smartly maneuvers the streetlights based on the presence or absence of vehicles and sunlight via light dependent resistor (LDR) and infrared (IR) sensors. Moreover, an online detection system is used for detecting faulty streetlights with the help of voltage and current sensors. Depending upon number of vehicles passed during night, streetlights are operated at four different intensities i.e., from 20% to 50% with the step size of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> in the absence of vehicles while operating at 100% intensity upon vehicle's arrival. This dimming operation not only enhances the life span of streetlights but also enables significant conservation of energy up to 84%. Besides, real time online air quality monitoring helps authorities to take suitable action whenever air quality index reaches an undesired level.