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The smart street lighting system is being introduced in the smart cities of India. Smart street lighting systems use various sensors. In this paper, three different sensors are proposed to be used in the smart street lighting systems which work in coordination with each other. The Light Dependent Resistor (LDR) sensor to differentiate the day and night time, InfraRed (IR) sensor to detect the movement of an object and the photodiode to monitor the health of the Light Emitting Diode (LED) lights. The proposed system is costeffective and results in improving the overall efficiency.
Increase in the population is leading to the vast spread of major cities in India. Expansion of the city geography is resulting in the increased power consumption [1-3]. One of the major loads of power consumption in the city is by the street lights. In the olden days, the street lights were turned ON or OFF by the personnel, which involves high risk of human error. Later, timer based control of street lights has been introduced, where the street light gets turned ON or OFF based on the time setting. This does not involve the climatic changes or seasonal changes, which leads to the excess power loss. Recently, many researchers have published papers on the usage of LEDs for street lights and their control in a conventional way and the smart way [4-15]. However, all the papers cited in this paper do not discuss about the fault detection of the LED lights, which is a major problem facing by many street walkers. The faulty street lights generally used to take longer time to replace. This paper proposes a solution for the smart street lighting system using three different sensors working in the coordination and the Internet of Things (IoT) platform.
This paper presented a cost effective and efficient smart street lighting solution. The proposed system utilizes three different sensors, a relay and a controller to operate the street lights. Various conditions like light availability, seasonal changes, climatic variations, vehicle movements, pedestrian detection and most importantly health of the LED light are considered in programming the system. Detailed description of the system along with its working is presented and the cost effectiveness has been demonstrated.
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