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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 04 | Apr 2024

p-ISSN: 2395-0072

www.irjet.net

IOT BASED STREET LIGHT SHORT CIRCUIT DETECTION Mrs.Suhasini 1, Ms.Anjali Kashyap S2, Mr.Drupad S3, Ms.Gaargi B4, Mr.Karthik S5 1 Assistant Professor, Dept. of Computer Science and Engineering, Maharaja Institute of Technology,

Thandavapura

2,3,4,5Students, Dept. of Computer Science and Engineering, Maharaja Institute of Technology, Thandavapura

---------------------------------------------------------------------***--------------------------------------------------------------------The system utilizes LDR sensors to vary the Abstract - The project outlines a cutting-edge system that

intensity of street lights based on ambient light conditions, optimizing energy usage and promoting sustainability. During nighttime, when ambient light is low, the system automatically increases the intensity of street lights to maintain adequate illumination for safe navigation. Conversely, during daytime, the system reduces the intensity of street lights to conserve energy without compromising safety.

integrates short circuit detection, fire accident detection, and light intensity optimization features into street lighting infrastructure. The system utilizes IoT and an Arduino Uno microcontroller to enhance safety, efficiency, and sustainability. The system's core feature is its ability to identify short circuits and the exact location of short circuit and alert authorities promptly. Additionally, the system incorporates fire sensors to detect fire accidents and optimizes light intensity based on environmental conditions. Overall, the system offers a comprehensive solution for enhancing street lighting infrastructure.

Apart from the hardware components, the project includes development of a mobile application using the Java programming language. This application serves as a user interface for authoritative personnel to receive alert messages and take necessary actions, such as shutting down power lines to specific street lights in the case of fault or hazard.

Key Words: Short circuits, Fault detection, Power distribution lines, Microcontroller, GSM mobile, IoT devices and sensors, Voice alert.

1. INTRODUCTION

Overall, the proposed Street Light Short Circuit Detection and Optimization System offers a proactive approach to enhancing the safety, efficiency, and sustainability of the infrastructure of the street lights through real-time monitoring, detection, and responsive control mechanisms. The system has the ability to significantly decrease the risks associated with street lighting infrastructure while promoting sustainable practices, making it an ideal and effective solution for modern cities.

Street lighting is a very crucial aspect of public safety and security as it provides adequate illumination during nighttime. However, various issues like short circuits and fire accidents can pose significant risks to both infrastructure and public safety. Inefficient energy usage in street lighting systems also contributes to environmental concerns and operational costs. To address these challenges, the project proposes a comprehensive Street Light Short Circuit Detection and Optimization System that makes use of Internet of Things (IoT) technologies.

1.1 PROJECT IDEA

The proposed system integrates various sensors, including switches that detect short circuits, Light Dependent Resistors (LDR sensors), and flame sensors, to monitor and detect potential hazards in street lighting infrastructure. The short circuit detector switches detect electrical faults such as short circuits in street lights. Whenever a short circuit is detected, the system initiates an alert mechanism that notifies designated authoritative personnel, enabling prompt intervention to mitigate the issue and ensure public safety.

Our project endeavors to craft an IoT-powered smart street lighting management system by integrating sensors like short circuit detectors, LDR sensors, and flame sensors, with a mobile application that enables remote supervising and control. This system is designed to bolster safety measures, optimize energy consumption, and make urban lighting infrastructure maintenance more efficient. 1.2 MOTIVATION OF THE PROJECT This project is being undertaken because power distribution networks are becoming more and more complex. There's an urgent need for creative ways to boost the degree of dependability and efficiency of power networks because of the growing amount of electricity consumed and the frequent service disruptions caused by distribution breakdowns.

In order to detect fire accidents in the vicinity of street lights, the system contains fire sensors. Detecting the fire hazards allows for timely response measures, reducing the risk of property damage and ensuring the safety of nearby residents.

Impact Factor value: 8.226

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