CoMo Algorithm for Efficacious Street Light Management using Solar Panel and PVDF

• Main Authors: Arun Kumar, P, Prasanna, B, Kabilesh, U, Sundareswari, K
• Format: Conference Proceeding
• Language: English
• Subjects: Control lighting system; Infrared sensors; Lighting; Microcontrollers; Polyvinylidene fluoride; Resistors; Saving energy; Solar panel; Solar panels; Timing; Urban areas
• ISSN: 2767-7788
• DOI: 10.1109/ICICT57646.2023.10134224

The smart and advanced weather-adaptive lighting is the primary application of the system. Street lights are currently powered by the conventional system, which makes use of mercury lamps, fluorescent lamps, and sodium vapor. The type of lamps mentioned uses an enormous amount of energy and maintenance is expensive. It necessitates a manual structure in which the light is turned ON before nightfall and OFF when there is sufficient daylight during morning. Most of the street lights are sometimes left on unintentionally during the day time, which is a complete waste of electricity and money. Another significant issue is the timing issue. Immediately once the movement of the objects is detected and the weather conditions in the immediate area, this system automatically turns on and off the street lights using CoMo methodology wherein the PSO algorithm is used for maximum light efficiency. The proposed system uses solar panel embedded with PVDF such a way that the post will save energy by consuming from both during summer and rainy season. The Co-Mo algorithm - based on PS O uses an IR (Infrared) Sensor to detect the object's movement and an LDR (Light Dependent Resistor) Sensor to detect the weather. As the conventional street lamps are replaced, C02 emissions are reduced, electrical waste is reduced, and manpower is reduced as the system is automated. In many nations, street lighting consumes a significant amount of electricity. Street lights that are actively illuminated throughout the night result in significant energy consumption and shorter equipment lifespan. When there are no cars on the road, energy savings are a big way to make up for other declining energy resources. The primary goal of this work is to create a Co-Mo algorithm for street lighting system that is both energy-efficient and intuitively switches on and off based on the number of vehicles in its territory and climatic condition.