scholarly journals Development and implementation of smart street lighting system based on LoRa Technology

2020 ◽  
Vol 2 (3) ◽  
pp. 193-206
Author(s):  
Tung Thanh Ngo ◽  
Phong Hoai Nguyen ◽  
Dinh Huy Le Ta ◽  
Huy Minh Nguyen ◽  
Tuyen Dinh Nguyen ◽  
...  
Keyword(s):  
Energy Savings ◽  
High Reliability ◽  
Operation Mode ◽  
Fast Response ◽  
Control Mode ◽  
Light Sources ◽  
Lighting System ◽  
Street Lighting ◽  
Smart Lighting ◽  
Urban Safety

This paper concerned with the development and implementation of smart street lighting control system based using Led lamp and Lora Wireless communication. Smart street lamps have been developed for over several years. These technologies have played an important role in urban safety, energy conservation. Currently, a traditional street lights are automatically turn on or off based on timer or day/night sensor. LEDs are now the standard replacement for legacy lighting in most cities around the world. At the same time, smart controls are becoming more mainstream and are increasingly installed alongside LED deployments. Recently, the conventional light sources are replaced by Led, which have so many advantages such as: energy savings, long lifetime, high reliability, pure light color, fast response, and friendliness to the environment. Furthermore, the intensity of the LED can be controlled easily. In this paper, the smart lighting system is designed to control and monitor devices via wireless transmission frequencies below 1 GHz. The system will include many types of devices connected to each other by a gateway. The transmit distance is about 2km in the urban area and up to 5km in rural area. The proposed smart street public lighting provides some advantages features such as: Automatic mode, Remote control mode, Connection disconnection mode, Manual direct operation mode. The smart lighting system has been built at Ho Chi Minh City University of Technology to meet the standards for data transmission. And some experimental resutls are provided to show the effectiveness of the porposed system.  

scholarly journals Advanced Adaptive Street Lighting Systems for Smart Cities

Smart Cities ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1495-1512
Author(s):  
Gianfranco Gagliardi ◽  
Marco Lupia ◽  
Gianni Cario ◽  
Francesco Tedesco ◽  
Francesco Cicchello Gaccio ◽  
...  
Keyword(s):  
Video Processing ◽  
Energy Savings ◽  
Smart Cities ◽  
Low Cost ◽  
Value Added ◽  
Motion Sensors ◽  
Lighting System ◽  
Street Lighting ◽  
Smart Lighting ◽  
Street Lamp

This paper reports the results of a recently concluded R&D project, SCALS (Smart Cities Adaptive Lighting System), which aimed at the development of all hardware/software components of an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps. The system is capable to autonomously adjust street lamps’ brightness on the basis of the presence of vehicles (busses/trucks, cars, motorcycles and bikes) and/or pedestrians in specific areas or segments of the streets/roads of interest to reduce the energy consumption. The main contribution of this work is to design a low cost smart lighting system and, at same time, to define an IoT infrastructure where each lighting pole is an element of a network that can increase their amplitude. More generally, the proposed smart infrastructure can be viewed as the basis of a wider technological architecture aimed at offering value-added services for sustainable cities. The smart architecture combines various sub-systems (local controllers, motion sensors, video-cameras, weather sensors) and electronic devices, each of them in charge of performing specific operations: remote street segments lamp management, single street lamp brightness control, video processing for vehicles motion detection and classification, wireless and wired data exchanges, power consumptions analysis and traffic evaluation. Two pilot sites have been built up in the project where the smart architecture has been tested and validated in real scenarios. Experimental results show that energy savings of up to 80% are possible compared to a traditional street lamp system.

scholarly journals Measures to Improve the Energy Efficiency of Street Lighting Systems in the Kharkiv City

2021 ◽  
Vol 60 (2) ◽  
pp. 39-46
Author(s):  
Olena Didenko ◽  
Krystyna Suvorova ◽  
Olena Liashenko ◽  
Maria Sukhonos ◽  
Maria Liubchenko
Keyword(s):  
Energy Efficiency ◽  
High Pressure ◽  
Energy Saving ◽  
Light Sources ◽  
Lighting System ◽  
Monitoring And Control ◽  
Investment Activity ◽  
Street Lighting ◽  
Improve Energy Efficiency ◽  
The Road

High-quality street lighting improves visual perception of the road and provides for a significant decrease in the number of road accidents. It has been established that the total number of accidents can be reduced by 30% for national roads and by 45% for especially hazard areas (e.g., at intersections). Doubling of the average luminance of the road surface significantly reduces the number of accidents in the dark and twilight. Sufficient street lighting contributes to: reducing electricity consumption; decreasing operating costs; improving the environmental situation; promoting business, tourism and investment activity; decreasing the number of criminal offenses. The analysis of recent research and publications helped choose the best European practices which can be used to improve the outdoor lighting in Ukraine. The street lighting network is continuously growing and being modernized. Different types of light sources are being used in the network to illuminate the city. Today, high-pressure lamps (HPS) are leading. They are increasingly replaced by LED light sources. Not a small share is accounted for by metal-halide lamps. The smallest number of light sources in the street lighting system, high-pressure mercury and compact fluorescent lamps (CFLs). To increase the efficiency of the street lighting system and reduce energy consumption for its operation, measures for its reconstruction and modernization are required. For this purpose, it is necessary to address the following problems: high level of obsolescence and physical wear and tear of system elements; inefficient use and high losses of electricity at the stages of transportation and consumption, due to the use of obsolete and worn-out equipment; suboptimal distribution of the utility capacity, which leads to ineffective use of the existing lighting system; low efficiency of the street lighting control system, due to the lack of electric meters and remote monitoring and control of the street lighting. Introduction of energy-saving types of light sources is one of the ways to modernize the existing street lighting system. It is necessary to replace old lighting fixtures, which have already exhausted their life span, by new energy-saving light sources (replace CFLs by LEDs), use automatic control systems. All this in turn will help reduce energy costs by 60%. To improve energy efficiency of the street lighting system, it is also recommended to carryout the replacement of electromagnetic ballasts by electronic ones. The employment of electronic ballasts, e.g., in case of using HPS 250 lamps, allows to save approximately 255 kWh/year. Considering that the price per kW of electric energy is UAH 2.68, one luminaire helps save the amount of UAH 683.4 per year.

A Networking Framework for Smart Street Lighting System using 6LoWPAN/IPv6

2018 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Vo Que Son ◽  
Le Minh Phuong
Keyword(s):  
Performance Evaluation ◽  
Routing Protocol ◽  
Control Mechanism ◽  
Lighting System ◽  
Street Lighting ◽  
Lighting Control ◽  
Smart Lighting ◽  
Protocol Security ◽  
The World ◽  
Test Beds

Up to now, smart lighting solutions have been researched and deployed in many cities around the world. This application has saved much energy due to the capability of optimizing the lighting control mechanism. In this paper, a framework used for smart lighting system is proposed under the consideration of many issues such as hardware devices, routing protocol, security, and scalability in layers. The performance evaluation is also investigated in several simulated scenarios and test-beds to show the advantages of the proposed framework.

INTELLIGENT STREET LIGHTING SYSTEM BASED ON THE IOT PARADIGM

2021 ◽  
Vol 3 (102) ◽  
pp. 7-17
Author(s):  
ALEXANDR M. VODOVOZOV ◽  
ALEXANDR V. BURTSEV
Keyword(s):  
Video Processing ◽  
Data Exchange ◽  
Computer Network ◽  
High Tech ◽  
Motion Sensors ◽  
Lighting System ◽  
Wireless Data ◽  
Urban Architecture ◽  
Street Lighting ◽  
Smart Lighting

The article presents the results of a completed research project aimed at developing hardware and software components for urban architecture of smart lighting based on the IoT paradigm. The proposed system is capable of adjusting the brightness of street lamps based on the analysis of traffic and pedestrian flows on certain road segments, thereby effectively solving the problem of energy saving. In a lighting system design, each street-light luminaire is a part of an expandable computer network. The architecture combines various subsystems (local controllers, motion sensors, video cameras, weather sensors) and electronic devices responsible for performing certain operations: remote lighting control, video processing, motion detection, wireless data exchange, energy analysis and traffic estimation. Generally, the proposed street lighting infrastructure based on the IoT paradigm is considered to be a framework for developing unified urban high-tech architecture aimed at providing a whole range of new services.

scholarly journals A Low-Power and Low Cost Smart Streetlight System Based on Internet of Things Technology

2021 ◽  
Author(s):  
Jingjing Zhang ◽  
Weihua Zeng ◽  
Shengli Hou ◽  
Yuqi Chen ◽  
Linyan Guo ◽  
...  
Keyword(s):  
Large Scale ◽  
Energy Savings ◽  
Smart Cities ◽  
Low Cost ◽  
Electricity Consumption ◽  
Shanxi Province ◽  
Lighting System ◽  
Street Lighting ◽  
Real Time Traffic ◽  
Internet Of Things Technology

Abstract Street lighting, as the most essential and universal component of the urban lighting system, accounts for a large portion of public electricity usage. Therefore, improving street lamps working efficiency is vital for energy savings. This paper demonstrates the design of a smart street lighting system supported by the combination of NB-IoT and LoRa communication technology. By adopting an optimized street lamp control algorithm, the system can realize the automatic control of street lights according to the real-time traffic flow information. This system has been installed on Luyang Avenue, Lucheng City, Shanxi Province, China in May 2019. It managed to reduce the electricity consumption in this region significantly in June 2019, which was 18% lower than that in April 2019 and 19.7% lower than that in June 2018. By illustrating the unique advantages of this system in energy savings and cost reduction, this paper displays its potential for further application in the construction of smart cities on a large scale.

scholarly journals A Multi-Period Approach for the Optimal Energy Retrofit Planning of Street Lighting Systems

2019 ◽  
Vol 9 (5) ◽  
pp. 1025 ◽  
Author(s):  
Raffaele Carli ◽  
Mariagrazia Dotoli ◽  
Roberta Pellegrino
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Energy Savings ◽  
Lighting System ◽  
Financial Benefit ◽  
Street Lighting ◽  
Single Period ◽  
Lighting Energy ◽  
Lighting Systems ◽  
The City

Investing in the optimal measures for improving the energy efficiency of urban street lighting systems has become strategic for the economic, technological and social development of cities. The decision-making process for the selection of the optimal set of interventions is not so straightforward. Several criticalities-such as difficulties getting access to credit for companies involved in street lighting systems refurbishment, budget constraints of municipalities, and unawareness of the actual energy and economic performance after a retrofitting intervention-require a decision-making approach that supports the city energy manager in selecting the optimal street lighting energy efficiency retrofitting solution while looking not only based on the available budget, but also based on the future savings in energy expenditures. In this context, the purpose of our research is to develop an effective decision-making model supporting the optimal multi-period planning of the street lighting energy efficiency retrofitting, which proves to be more effective and beneficial than the classical single-period approach and has never before been applied to the considered public lighting system context. The proposed methodology is applied to a real street lighting system in the city of Bari, Italy, showing the energy savings and financial benefit obtained through the proposed method. Numerical experiments are used to investigate and quantify the effects of using a multi-period planning approach instead of a single-period approach.

A Smart Lighting System for Visual Comfort and Energy Savings in Industrial and Domestic Use

2015 ◽  
Vol 43 (15) ◽  
pp. 1696-1706 ◽  
Author(s):  
Gionata Cimini ◽  
Alessandro Freddi ◽  
Gianluca Ippoliti ◽  
Andrea Monteriù ◽  
Matteo Pirro
Keyword(s):  
Energy Savings ◽  
Visual Comfort ◽  
Lighting System ◽  
Smart Lighting ◽  
Domestic Use

scholarly journals IoT Enabled Smart Lighting System for Smart Cities

2021 ◽  
Vol 2089 (1) ◽  
pp. 012037
Author(s):  
V Dankan Gowda ◽  
Arudra Annepu ◽  
M Ramesha ◽  
K Prashantha Kumar ◽  
Pallavi Singh
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Energy Savings ◽  
Smart Cities ◽  
Energy Resources ◽  
Lighting System ◽  
Smart Lighting ◽  
Information And Communication ◽  
Lighting Systems ◽  
Indoor And Outdoor

Abstract The pace of urbanisation has risen tremendously during the last few decades. To provide a higher quality of life, urban dwellers will require a greater variety of improved services and apps. The term “smart city” refers to integrating contemporary digital technology in the setting of a city to improve urban services. There are possibilities to create new services and connect disparate application areas with each other as a result of the use of information and communication technologies in the smart city. However, to make sure the services in an IoT-enabled smart city environment remain running without depleting valuable energy resources, all of the apps have to be maintained using energy resources that are kept at a minimum. IoT can enhance a city’s lighting system since it uses more energy than other municipal systems. An intelligent city integrates lighting system sensors and communication channels with enhanced intelligence features for a Smart Lighting System (SLS). To control lighting more efficiently, SLS systems are built to be autonomous and efficient. We cover the SLS and evaluate several IoT-enabled communication protocols in this article. Furthermore, we evaluated several use scenarios for IoT enabled indoor and outdoor SLS and generated a report detailing the energy consumption in different use cases. By using IoT-enabled smart lighting systems, our research has shown that energy savings are possible in both indoor and outdoor settings, which is equivalent to a forty percent reduction in energy usage. Finally, we went through the SLS in the smart city research plans.

scholarly journals Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks

2020 ◽  
Vol 10 (23) ◽  
pp. 8545
Author(s):  
Yusi Cheng ◽  
Chen Fang ◽  
Jingfeng Yuan ◽  
Lei Zhu
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Average Energy ◽  
Wireless Sensor ◽  
Flow Density ◽  
Lighting System ◽  
Metro Station ◽  
Smart Lighting ◽  
Control Rules ◽  
Save Energy

Buildings have been an important energy consuming sector, and inefficient controlling of lights can result in wastage of energy in buildings. The aim of the study is to reduce energy consumption by implementing a smart lighting system that integrates sensor technologies, a distributed wireless sensor network (WSN) using ZigBee protocol, and illumination control rules. A sensing module consists of occupancy sensors, including passive infrared (PIR) sensors and microwave Doppler sensors, an ambient light sensor, and lighting control rules. The dimming level of each luminaire is controlled by rules taking into consideration occupancy and daylight harvesting. The performance of the proposed system is evaluated in two scenarios, a metro station and an office room, and the average energy savings are about 45% and 36%, respectively. The effects of different factors on energy savings are analyzed, including people flow density, weather, desired illuminance, and the number of people in a room. Experimental results demonstrate the robustness of the proposed system and its ability to save energy consumption. The study can benefit the development of intelligent and sustainable buildings.

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