Smart Street Lighting System Research Articles

An IoT-Based Smart Street Lighting System to Lower Energy Consumption

Smart Lighting System is an automated and intelligent lighting control system that can be deployed across multiple locations or in one location, utilizing various IoT connection protocols, devices, and sensors. The system is able to intelligently adjust to changes in ambient light conditions, traffic patterns, and pedestrian activity through the integration of Internet of Things (IoT) technologies. IoT-enabled sensors are installed in every street light, creating a network that connects to a central control unit. Using real-time data, this system dynamically modifies street light brightness to maximize energy efficiency and improve safety. It provides a simulation and optimization tool for street light placement, considering factors such as street length, light distance, and the number of lights ahead. This tool aids in visualizing the power consumption implications of different configurations, promoting efficient urban planning. Demonstrates the energy-saving potential of the proposed system. As the street light intervals and the number of lights ahead decreases, the optimal street light power significantly reduces, leading to substantial energy savings. The system's ability to dim or turn off lights during low-traffic or well-lit periods contributes to reduced operational costs and enhanced sustainability.

Study on Smart Street Light (SSL) using Ultra Narrowband (UNB) Technology: a case study of Malaysia Power Utility

Street light is important to road user and residential area to improve visibility and creating safer road by preventing traffic accidents and also by reducing crime. However, present practice for street lighting management largely remains a challenge. Smart Street Lighting (SSL) system is a system where the street lighting system adds up with communication technology producing a real time monitoring system. Smart Street Lighting (SSL) is known to gain high value creation through maintenance savings and improvement of the environmental impact for Malaysia. Tenaga Nasional Berhad (TNB) through its research arm, TNB Research (TNBR) has recently carried a feasibility study on the compatibility of SSL system using Ultra Narrowband (UNB) technology on the energy efficient and better light intensity of light-emitting diode (LED) lighting technology street light. The SSL systems have been deployed on a small scale, tested and monitored at selected areas. This paper discussed the technical performance such as functionality and compatibility that have been assessed in the study.

INTEGRASI FRAMEWORK LARAVEL DALAM PENGEMBANGAN PERANGKAT LUNAK SISTEM SMART PJU BERBASIS INTERNET OF THINGS

This study analyzes the use of Laravel structure in improving Internet of Thing IoT-based Smart Street Lighting software. This research applies the Software Development Life Cycle (SDLC) methodology approach with the waterfall method. The IoT Smart Street Lighting system is the focus in an effort to improve the efficiency of public street lighting. This methodology merger applies the Laravel structure in software development with structured steps. The vetting process begins with defining requirements, user interface (UI) plans, and data management. The execution stage involves applying Laravel for programming as per the framework's prerequisites. Thorough testing ensures functionality, security, and optimal execution. This approach enhances future development capabilities and program quality by combining Laravel technicalities and the waterfall approach, making the Intelligent Street Lighting System more responsive, robust, and efficient based on weather data.

Design and Implementation of a Real-Time Street Light Dimming System Based on a Hybrid Control Architecture

Smart street LED lighting systems have received much attention driven by the need to save energy and the dramatic advances in the Internet of Things. This work proposes a new smart street lighting system that adaptively changes the street lights’ intensity based on traffic and weather conditions and provides a platform for monitoring road conditions and detecting lamp faults. The system transfers the data using the UDP protocol over NBIoT radio technology. It also maintains two-way communication between the luminaires and the central node. In order to ensure real-time response to traffic and avoid dimming delays, each light is locally controlled by a microcontroller based on the sensed traffic and weather data. The measurements of each luminaire are also sent to the central control node to locate lamp faults, detect emergency situations, and, if needed, broadcast on/off messages to the whole network’s luminaires. The system was implemented in a suburban street in Ras Al Khaimah. Evaluations proved that the system can locate and detect faulty lamps and vary the light intensity in real time based on traffic. It also resulted in energy savings of up to 55% compared to a normal LED street light network.

Adaptive Illumination: Designing a Smart Street Lighting System for Sustainable Urban Environments

In the age of rapid technological advancement and increasing urbanization, the need for sustainable and efficient infrastructure has never been more pronounced. As cities grow and evolve, so do the challenges related to managing their energy consumption, safety, and environmental footprint. One of the critical components of urban infrastructure that has a direct impact on all these areas is street lighting. Traditional street lighting systems, while essential for safety and visibility, often consume excessive amounts of energy, contribute to light pollution, and require significant maintenance. This is where the concept of adaptive illumination comes into play as shown in Figure 1.
 Adaptive illumination refers to the design and implementation of street lighting systems that can adjust their brightness and intensity based on real-time environmental conditions and human activity. Unlike conventional systems that remain uniformly lit throughout the night, adaptive systems use sensors, data analytics, and connectivity to dynamically modify their output. This not only results in significant energy savings but also reduces light pollution and enhances the overall safety and comfort of urban residents.[1]
 The sustainability aspect of adaptive illumination cannot be overstated. As the world grapples with climate change and the pressing need to reduce carbon emissions, every kilowatt-hour saved has a cascading positive effect on the environment. By ensuring that street lights are only as bright as they need to be, cities can dramatically decrease their energy consumption. This is particularly relevant in the context of urban areas, which are often the largest consumers of electricity within a region.

Smart Street Light System

Imagine walking down a street at night, and suddenly the street lights start to dim to save energy. You may wonder how this is possible it's all thanks to the smart street light system using Internet of Things (IoT) technology. This advanced system integrates various devices such as sensors and cameras to optimize and automate street lighting, providing an efficient and cost-effective solution by using IoT sensors, street lighting can be remotely monitored and controlled, making it possible to adjust lighting levels dynamically based on traffic patterns and weather conditions. This technology offers numerous benefits, including energy savings, improved public safety, and reduced carbon footprint, making our cities more sustainable and environmentally friendly. Overall, the smart street light system using IoT is a game-changer in urban development. It enhances our infrastructure and promotes sustainable growth, providing a better quality of life for all citizens.

Smart Street Light System Based on IOT

People in today's modern environment expect to have all of their needs met. Scientific and technological advancements are speeding up to meet this human demand. The Internet of Things (IoT) is a critical component of technology's rapid advancement. For example, we now use a manual technique to turn on street lights, which wastes a lot of energy throughout the world and should be changed. The Smart Street Light System, which is powered by the Internet of Things, aims to conserve energy by reducing electrical waste while simultaneously reducing operating costs. The LDR sensor is used to switch the street light on and off dependent on the amount of ambient light. It's a simple light/dark switch. This project makes use of a programmable Arduino UNO board to deliver the proper light intensity at different times. When compared to the current system, the proposed work outperforms it.

Smart streetlight system using mobile applications: secured fault detection and diagnosis with optimal powers

A street lighting system is a very essential part of the highways and streets of a smart city. Managing power consumption and maintenance of a street light system will be a challenging task in huge countries. The proposed work is mainly focused on the minimization of power consumption in the implementation of a smart street lighting system. Also, use a mobile application for setting up the brightness levels of the lamps in an encrypted form so that an unauthorized person will not be able to modify the settings. In the existing streetlight system, wireless sensors are installed to control and monitor the streetlamps. In the proposed system, using an nRF24L01 radio transceiver module, a secured communication link is established to operate the streetlights depending on the ambient weather conditions, movement of humans, vehicles and any other objects. A failsafe mechanism is implemented in the modules for conventional lamp operation in the case of module failures. Light-dependent resistor (LDR) is used to determine the ambient brightness levels to automatically turn on/off the streetlights based on weather conditions and lighting on roads. Using smartphones, we access and control the brightness information from the master node at which the nRF24L01 radio transceiver module is installed, and the same information is relayed to all the slave nodes. The results show that we could effectively monitor and control the brightness of streetlights in a secure way and there is a significant amount of power savings. The proposed system saves the average powers of 53.45%, 44.76%, 39.39%, and 32.25% respectively for 10%, 20%, 30%, and 50% idle mode brightness compared to the state-of-the-art techniques present in the literature.

The Energy-Efficient Control Solutions of Smart Street Lighting Systems: A Review, Issues, and Recommendations

The smart street-lighting system (SSLS) is a leading candidate in the smart city. By the time of the last 15 cycles, many meaningful improvements have been executed in the SSLS with the impact of the internet of things technologies and universal networking devices. Conventional smart street lighting systems are restricted to wireless sensor networks, mobile devices, and old lighting control systems. This article presents a comprehensive treatment of network designs, namely communication, control, and wireless sensor-based smart street lighting system by deploying based on their existing system architecture, and network topologies including leading with it a host of privileges. In addition, choosing the right lighting class, high-intensity discharge (HID) lights, and retrofitting lighting technologies have all been covered in detail. This paper's objective is to evaluate various control technologies that may support the many applications deployed on networked streetlights. Moreover, issues and recommendations, distinguished in this paper, will pave the route for future smart street lighting systems that promote a reliable and seamless driving experience and are energy-efficient for environmental sustainability. It is far anticipated that LoRa and Sigfox with additional gateways could be the best possible smart street lighting system options as these technologies are facilitated for long distances but with a limited data rate. It is way more suitable for lighting control compared to other protocols to control thousands of streetlights.

Smart Street Lighting System

Street lighting is an important part of the energy consumption of cities. With suitable smart lighting systems that increase energy efficiency, it is possible to save on lighting costs substantially. Intelligent street lighting systems generally consist of lamps, ballast and dimming devices located in the area to be illuminated, control units placed in different lighting zones, and central management systems that can manage and monitor these regional controls. With smart lighting systems suitable for energy efficiency, it is possible to save a great deal of lighting costs while protecting the environment. When current projects are examined, it is seen that up to 80% energy savings can be achieved when automation systems are used in street lighting. There is a need for an approach that controls the luminous flux without reducing the driver's safety and comfort, and that performs dimming studies using machine learning methods. In this paper, the smart street lighting system developed jointly by ISBAK and Panasonic is explained.

New methodology to reduce power by using smart street lighting system

Abstract One of most important things now is to create smart street and smart lighting system to save enormous electrical energy. Especially Iraq is suffering shortage of electrical energy generation up to 45%. Because of this, Iraq needs to save a lot of electrical energy in the entire country so as to meet the electrical demand and reduce the large amount of CO2 emission. However, this work presents a very unique and economic control lighting system (CLS) for main streets and sidewalks, which can control the lighting system to give sufficient illumination to the drivers and the pedestrians simultaneously. And at the same time, the CLS system can reduce a lot of electrical energy consumption and the CO2 emissions together. However, by using these smart systems with the exciting illumination source in the streets, the CLS can minimize the electrical energy consumed for the lighting at the main roads and the footpath by about 60% and can use the surplus energies to fill the shortage of electricity in the country. Also, this system will increase the lifetime of the lighting system which means further decrease in cost. Finally, this work presents new type of illumination source, high-intensity discharge (HID), which can reduce the electrical consumption much more by up to 90%, when using the CLS with HID.

Intelligent control and reduce energy consumption of smart street lighting system

Public lighting is one of the criteria for the development of society, in addition to which it is important in human life, as it ensures safety and security during the night, but this may lead to an increase in energy consumption and therefore there is a deficit in energy bills. This research offers a smart street lighting system that has been implemented and tested at pilot site consists of 9 LED lights in order to reduce energy consumption without compromising the security and safety of street users. The developed system control solution relied on combining the effectiveness of the system with reduced installation costs, As soon as the user enters the street, his movement is detected using a motion sensor, so the controller processes this information and raises the intensity of the lighting around the street user’s area, then sends a message via a wireless network to the next controller, which in turn raises the intensity of the lighting, thus increasing the intensity of lighting in front of the user rather than behind. Through experimental results obtained, the system has proven its effectiveness in achieving energy savings up to 50% depending on the use of the smart control scenario.

Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT

Based on the importance of energy saving in terms of reducing the carbon impact and global warming problems, smart street lighting systems have been proposed in the past few years with different specifications. These systems include sensors for controlling the light intensity and connectivity for recording weather conditions and diagnosing lamp failure remotely. This paper discusses many published research studies regarding smart street lighting systems, providing a comparison between these systems which emphasizes the limitations of each one of them. Current and future trends are highlighted.

SELF-POWER DRIVEN IOT-BASED SMART STREET LIGHTING SYSTEM (SSLS)

Street lighting promotes safety by allowing pedestrians and vehicles to see each other and prevents accidents, robberies, unwanted theft, and other crimes that occur on the highway. But the electrical energy consumed for street lighting is a significant concern for developing countries, especially when the lights are on at night during the absence of objects. Also, maintaining the street lighting system is costly, and manually controlling and repairing the lights is unfeasible. Considering the above problems, this paper presents an IoT-based street lighting system that mitigates the above challenges by automating the system. The proposed system will run entirely on solar power systems, which draw clean, pure energy from the sun. As the object gets closer, the lights will become brighter and reduce the brightness as objects travel away. The system also cleans the lights once every week by servo motor. To determine whether the light needs repairing, replacing, or not, an ESP8266 Wi-Fi module is used that transmits a report from the location to a central server. The system also can measure air pollutant gases like Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2), etc., by using the MQ- 135 sensors and sending the information to the web server for further analysis of air quality. The proposed smart street lighting system is low-cost, faster-response, eco-friendly, and energy-efficient. It aims to reduce active power loss while boosting energy efficiency, monitoring air quality, decreasing the cost of maintaining the street lighting system, and reducing the hard labor cost of controlling the system.

Smart Street Light on Highway with Energy Conservation and Accident Prevention

Abstract: In this project, we are going to build the smart streetlight system along with the accident avoidance and detection system which will help society to reduce the energy consumption from streetlights and also reduce the number of accidents which are usually happening on highways. Streetlights play an important role in cities which means to avoid accidents, secure roads and provide better vision since evening to morning. As the world is ready to accept the technology, we need to upgrade that street light system which will reduce the energy consumptions and save energy. As our goal is to save energy, so we are using LEDs. The IR sensors detect the objects and set the intensity of LEDs to high for some time. The work will achieve better performance and reduce the energy consumption as compared to the current system. One of the major problems happening in cities is accidents, so we are applying IR mechanism to avoid the accidents that usually happens in highways. But, in case an accident occurs we use an alert system in this paper that helps to strengthen the emergency system of the crash system. This device senses the occurrence of the accident and alerts the rescue team for help. The idea is about making vehicles more self-regulating and automatic which may inform or combat vehicle drivers under terrible conditions. The system also consists of MQ-3 alcohol sensor to continuously observe the alcohol blood concentration level.

Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System

In order to promote the development and construction of smart cities, the massive equipment requirements of sensing terminals increased the pressure on urban site resource allocation. The light pole is suitable for carrying various urban functional equipment to form a smart street lighting system, which can provide rich site resources for the large-scale construction of urban functional facilities such as 5G micro base stations. However, the selection and combination of equipment mounted in the smart street lighting system only focus on the functional superposition at the physical level, without considering the relevance of each subsystem in practical application scenarios. Therefore, this study proposed a 5G micro base station location model based on a smart street lighting system. The correlation and cooperativity between 5G micro base stations and mounted devices were fully considered, and a universal system-level location selection index was developed to realize rational utilization of urban space site resources and intelligent linkage between subsystems. The results showed that the model is significantly effective for functional areas with different road network characteristics and provides practical, robust, effective, and accurate help for similar location selection problems.

IoT BASED ENERGY EFFICIENCY and FAULT DETECTION SMART STREET LIGHT USING GSM

-Automation plays an increasingly very important role in the world economy and in daily life. Automatic systems are being preferred over any kind of manual system. We can also call it an “SMART STREET LIGHT SYSTEM”. Intelligent light sensing refers to public street lighting and traffic control that adapts to movement by pedestrians, cyclists and cars. Intelligent street lighting and traffic control, also referred to as adaptive street lighting, dims when no activity is detected, but brightens when movement is detected. This type of lighting is different from traditional, stationery and illumination, or dimmable street lighting that dims at predetermined times. The proposed work shows automatic control of streetlights and traffic light control as a result of which power is saved and can control traffic cognition to some extent. In the scope of industrialization, automation is a step beyond mechanization. Whereas mechanization provided human operators with machinery to assist the users with muscular requirements of work, automation greatly decreases the need for human sensory and mental requirements as well. Basically, street lighting is one of the important parts. Therefore, the street lamps are relatively simple but with the development of urbanization, the number of streets increases rapidly with high traffic density. Key Words: Arduino UNO, GSM, Power supply, LED, IR Sensor, LDR Sensor.

Micro Python Powered Smart Street Light using IOT

The proposal for a smart street lighting system is being considered. In this project, the street light system, in which lights are turned on when needed and turned off when not needed. Street lighting which is turned on when it gets dark and turned off when it gets bright, currently consume large amounts of electric energy around the world. This is the world's largest energy waste and should be changed. The smart street light system consists of an LED light, an ultrasonic sensor, a motion sensor and a short-distance communication network. The lights turn on when pedestrians and vehicles come and turn off or reduce power when there is no one. It will be convenient for pedestrians and drivers of vehicles to travel, since our smart street lamps will turn on when they come. The present status and the future prospects of our smart start light project will be reviewed. This system will aid in conservation of energy through automation.

A Review of Automatic Irradiation Adjustment Based LED Street Light with Vehicle Movement Detection

Abstract: In present day, the maintenance of streetlight is one of the major problem for electricity boards in India. Also, there is scope for saving power during off peak time i.e. in from around midnight 12AM to 04AM in the morning. The methods that are currently used to maintain and control the street light is more complex and uneconomical. In this paper a new technique is proposed to control the intensity of LED Street lights using LDR, and to automate street lights using PIR sensors, and LDRs, resulting in power saving. Implementation is done using PIC controller. This paper presents a smart street lighting system which provides a safe night time environment for all road users and pedestrian. The main objectives are to build an automation system of street lighting using a low-cost microcontroller which is PIC and to achieve energy-saving. Light Emitting Diode (LED) is represented as the light module. This system is controlled according to the specific mode. These modes are controlled by two sensors which are Light Dependent Resistor (LDR) and Passive Infrared (PIR) sensor. This system can automatically turn on and off the lights according to traffic flow. This system operates during the night and the focus is only for the one-way road at a junction. Street light will be on when only there is road user otherwise, it will turn off. This design can save a great amount of electricity or energy consumption compared to conventional street lights that keep alight during nights. Moreover, the maintenance cost can be reduced and lifespan of the system will increase. As the result, the system has been successfully designed and implemented as a model system Keywords: PIR, LDR, Streetlights, Power supply, microcontroller

Review of Various Technology Automatic Dimming Control of LED Street Light

Abstract: In present day, the maintenance of streetlight is one of the major problem for electricity boards in India. Also, there is scope for saving power during off peak time i.e. in from around midnight 12AM to 04AM in the morning. The methods that are currently used to maintain and control the street light is more complex and uneconomical. In this paper a new technique is proposed to control the intensity of LED Street lights using LDR, and to automate street lights using PIR sensors, and LDRs, resulting in power saving. Implementation is done using PIC controller. This paper presents a smart street lighting system which provides a safe night time environment for all road users and pedestrian. The main objectives are to build an automation system of street lighting using a low-cost microcontroller which is PIC and to achieve energy-saving. Light Emitting Diode (LED) is represented as the light module. This system is controlled according to the specific mode. These modes are controlled by two sensors which are Light Dependent Resistor (LDR) and Passive Infrared (PIR) sensor. This system can automatically turn on and off the lights according to traffic flow. This system operates during the night and the focus is only for the one-way road at a junction. Street light will be on when only there is road user otherwise, it will turn off. This design can save a great amount of electricity or energy consumption compared to conventional street lights that keep alight during nights. Moreover, the maintenance cost can be reduced and lifespan of the system will increase. As the result, the system has been successfully designed and implemented as a model system. Keywords: PIR, LDR, Streetlights, Power supply, microcontroller