Self-Power Driven Iot-Based Smart Street Lighting System (SSLS)

2020

The sole motive of automated streetlight using IoT is the preservation of energy by decreasing the rate of wastage of electricity and manpower. A manual streetlight system consists of lights which are powered from dusk till dawn with maximum intensity despite the availability of light. This continuous wastage of energy can be prevented if the lights switch off automatically. This can be implemented using an IoT Streetlight System. LED Lights combined with LDR can help us regulate the amount of intensity of light unlike HID lamps where it couldn't be possible. The project is implemented on an Arduino board for providing efficient results by regulating the light at various times. The proposed project clearly brings out more efficient way to harness electricity instead of its conventional counterpart.

International Journal of Advanced Trends in Computer Science and Engineering, 2020

A large number of street lights present around the world which consume enormous amounts of electrical energy. As it is a huge system, it is very difficult to monitor and control them manually. It is important to develop a smart system that can monitor and control the lights as well as provide communication to the user. This communication is established using IoT. This system monitors the status of every street light (ON/OFF state) by observing the power consumption of light. As the usage of street light is required only during the night, the system automatically turns ON the light at 6 pm and turns it OFF at 6 am. This conserves energy consumption by optimizing the usage period. When a fault occurs in the street light, this system disconnects the street light from the supply and an indication is sent to the User. Using this information, the User can rectify the fault and turn ON the light. This increases the reliability and maintainability of the street light. A portal for real-time monitoring of voltage across light, current through the light, the power consumed by the light and fault status is established using the Thingspeak IoT platform. This real-time information can be accessed from anywhere around the world at any time using the Internet.

2019

Presently, in the whole world, excessive amount of electric energy is being consumed by the<br> street lamps, which are automatically turned on when it becomes dark and automatically<br> turned off when it becomes blazing. This happens irrespective of the presence or absence of<br> people on the streets saving manual effort and power to certain extent. Nonetheless,<br> unnecessary wastage of energy being consumed by the lampsin the absence of people on the<br> street could be taken care saving power energy to the larger extent.Hence, in this paper a<br> smart street light system is proposed using IoT technology.In this, lights would be on with full<br> intensity when people are detected otherwise lights would be switched on with min intensity<br> or switched off. In our paper we design a system which uses IoT technology.

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

The main consideration in the present field technologies are Automation, Power consumption and cost effectiveness. Automation is intended to reduce man power with the help of intelligent systems. Power saving is the main consideration forever as the source of the power (Thermal, Hydro etc.) are getting diminished due to various reasons. As we all know that energy consumption has increased a lot and sources of energy are limited so in order to meet the increasing demand of energy use of renewable sources of energy is a must. The project aims to describe a method for modifying street light illumination by using sensors at minimum electrical energy consumption. When presence is detected, all surrounding street lights glow at their brightest mode, else they stay in the dim mode. LED bulbs shall be implemented as they are better than conventional incandescent bulbs in every way. This shall reduce heat emissions, power consumption, maintenance and replacement costs and carbon dioxide emissions. Coupled with SSSLS (Solar Smart Street Light System), massive energy-savings are envisioned. Also, a demonstration with a real-time proto type model involving costs and implementation procedure has been developed using internet of things (IoT) to visualize the real time updates of street processing and notifying the changes occur.

IRJET, 2023

The aim of the smart street lighting system using IOT is the preservation of energy by dropping electricity consumption as well as to diminish the work force. Streetlights are the rudimentary part of any city since it eases better night visions, protected roads, and experience to community areas nonetheless it devours a impartially huge amount of electricity. In the labor-intensive streetlight system lights are power-driven from dusk to dawn with thoroughgoing intensity even when there is adequate light available. This energy wastage can be dodged by switching off lights automatically. This can be accomplished using an IOT enabled streetlight managing system. The main purpose of this project is to design an automated street lighting system which senses the sunlight intensity in its surrounds and automatically switches on and off depending on the sunlight intensity. The IOT based smart street lighting system also directs the data from the sensors to an open cloud server for monitoring and visualization. The working principle of the smart street lighting system is wholly controlled by microcontroller. It controls working of all the components. We can program the microcontroller and control the working of all the components to detect the light intensity, switch the lights on and off accordingly and send the data to the cloud server. We also focus on using LED lights instead of the HID lamps to improve the lifespan and reduce energy consumption.

Indonesian Journal of Electrical Engineering and Computer Science, 2022

Every country is subsidising millions of dollars for street lighting as those are connected to the grid. Besides, the generation of electricity comes from fossil fuels with emissions of carbon dioxide (CO2). Therefore, alternative generation of electricity can be done by using a hybrid system. Solar energy starts as the day begins, and the wind is accessible on the streets with a toand-fro motion of the car. It does not rely on any factor. This hybrid system generates 12 V direct current (DC), whereas no alternating current (AC) converters are used, resulting in a reduction the system's cost. The control system was constructed based on internet of things (IoT) and included the most sophisticated battery charging system to improve the battery's cells' life cycle. The hardware system has been simulated using easy electronic design automation (EasyEDA) and incorporated with the printed circuit board (PCB) design. The prototype is constructed alongside collected data to compare with the theoretical basis towards net-zero energy street lighting (nZESL). The prototype was able to lead to nZESL and backup stability of the system is 10 hours per day, along with the validation of theoretical analyses and effectiveness of the system. The system has the potential to make a significant contribution to lowering CO2 emissions and government subsidies for street lighting.

In proceedings of 2019 International Design and Engineering Symposium (IDES 2019), October 10-12, 2019, Izmir, Turkey, pp. 338-343., 2019

Nowadays, smart cities are one of the most important application areas of Internet of Things (IoT) technologies. In smart cities, there are technological systems in many different areas such as pollution, traffic density, weather, lighting systems, gas and water leakage monitoring to provide comfort for city residents. The improvement on IoT technologies decreased installation and maintenance costs of these systems considerably. IoT also enables highly automated monitoring in smart cities. In this study, an investigation and evaluation of the approaches covering the use of IoT technologies for street lighting in smart cities is performed. Recent IoT applications have been taken into consideration particularly, and hence 18 different approaches are examined in depth. Different components of these solutions, such as IoT technologies, hardware platforms, operating systems, cloud information technologies and sensors are evaluated. With this paper, the studies considering street lighting in the smart cities have been thoroughly examined and the orientation of the technology has been determined. We believe that the comparisons and the investigations in the paper will guide to the researchers aiming at working in this field.

Indonesian journal of electrical engineering and computer science, 2024

In the contemporary world, science and technology are advancing swiftly to meet the growing human need for electricity. Within this framework, street lighting, serving as the most vital and ubiquitous element of urban lighting infrastructure, contributes significantly to public electricity consumption. Hence, enhancing the operational efficiency of street lamps becomes imperative to conserve energy. Nonetheless, traditional street lighting systems, being manually controlled, consuming excessive power, and entailing high installation expenses, present notable drawbacks and concerns. Leveraging the internet of things (IoT), advanced innovations automate various areas, including health monitoring, traffic management, agricultural irrigation, street lights, and classrooms. The current manual operation of street lights leads to substantial global energy waste. To address this, an integrated hardware and software solution is proposed. Practical implementation of the hardware devices employs a wireless sensor network, while the software focuses on developing an IoT application for data storage, analysis, and visualization. The proposed system enables effective monitoring of parameters such as ambient temperature, current, voltage, and energy consumption of photovoltaic street lights, which are used as an indicator of the lamp status. Using Xbee modules, a configuration by the X-CTU software is necessary to communicate between all street lights wirelessly. These Xbee modules are used as a leading technology for wireless sensor networks due to its low power and low cost. Experimental results demonstrate that the proposed system is energy-efficient and cost-effective, and further can be implemented in real street light systems.

2021

The acronym "SMART" standing for specific, tangible, achievable, appropriate, and time-based objectives. The Internet of Things (IoT) belongs to a vast and broadening set of digital devices that already number in the billions and operate across potentially global networks. People are attracted to the word SMART as the world gets a bit faster. India does have one of the world's fastest growing economies, therefore, implementing a smart techniqueaccurately, a smart street light system using IoT. Even when power is available, the manual streetlight system lights are turned on from sunset to sunrise at maximum intensity. The saved energy can be used for a variety of purposes, including residential, commercial, and industry. This is accomplished by utilizing the LDR and PIR sensors. We can turn a light ON/OFF based on the intensity of the light. The system's power supply is the main supply, which is converted using a relay. Every city must have an essential street lighting system. Hence, we are utilizing the project via an IoT module to save energy. Everything in the world is changing into automation as a result of the tremendous change in the world, based on accurate real-time field data, this is a smart control and intelligent decisionmaking device.