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Smart Street Lighting System Project Pdf
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Smart Street Lighting Systems
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By Gianfranco Gagliardi Gianfranco Gagliardi Scilit Preprints.org Google Scholar 1 , Marco Lupia Marco Lupia Scilit Preprints.org Google Scholar 1 , Gianni Cario Gianni Cario Scilit Preprints.org Google Scholar 1 , Francesco Tedesco Francesco Tedesco Scilit Preprints 1. , Francesco Cicchello Gaccio Francesco Cicchello Gaccio Scilit Preprints.org Google Scholar 2 , Fabrizio Lo Scudo Scilit Preprints.org Google Scholar 2 and Alessandro Casavola Alessandro Casavola Scilit Preprints.org Google Scholar 1
Dipartimento di Ingegneria Elettronica, Informatica e Sistemistica (DIMES), Universitá della Calabria, via Pietro Bucci 42c, 87036 Rende, Italy
A Body Downwind Of The Atomic Attack At Trinity: Mediations Of Atomic Coloniality In Nuevo México
Received: November 6, 2020 / Revised: November 27, 2020 / Received: December 2, 2020 / Published: December 7, 2020
This paper reports on the results of a recently completed research and development project, SCALS (Smart Cities Adaptive Lighting System), which aimed to develop all hardware/software components of an adaptive urban smart lighting architecture that allows municipalities to provide public able to manage and control. street lighting lamps. The system is able to adjust the brightness of street lamps independently based on the presence of vehicles (buses/trucks, cars, motorcycles and bicycles) and/or pedestrians in specific areas or parts of the streets/roads of interest to to reduce energy consumption. The main contribution of this work is to design a cheap smart lighting system and at the same time to define an IoT infrastructure where each light pole is an element of a network that can increase its amplitude. More generally, the proposed smart infrastructure can be seen as the basis of a broader technological architecture that aims to offer value-added services for sustainable cities. The smart architecture combines several subsystems (local controllers, motion sensors, video cameras, weather sensors) and electronic devices, each of which is responsible for performing specific operations: lamp control of remote street segments, brightness control of one street lamp, Video processing for detection and classification of vehicle movement , wireless and wired data exchange, energy consumption analysis and traffic evaluation. Two pilot sites have been built 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.
According to [1, 2], 80% of the electrical power currently produced is used to supply urban needs and about 60% of this is needed for street lamps, due to their continuous operations at night. Therefore, energy saving is an important point in the context of smart cities; in this paper we focus on the energy savings that can be achieved by adopting smart lighting systems instead of traditional incandescent/fluorescent lamps.
In this context, smart lighting control systems play a vital role in reducing energy consumption. In fact, the advances in wired and wireless networks, control technologies and embedded systems have made it possible to design modern lighting systems with smart technologies where the energy saving problem can be handled efficiently.
Pdf) Smart Street Light Management System Using Lora Technology
The Internet of Things (IoT) paradigm has emerged as a new network framework in which a wide variety of devices and objects are embedded with sensors, software and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet . to communication technologies such as WiFi, GSM, ZigBee, etc. [3]. The choice of communication technology plays an important role in the design of IoT architecture and is closely related to the application to be considered. For example, in applications such as wearable IoT devices where a body sensor node usually has a very limited power source, the life cycle of the sensor node is highly dependent on the dimensions of the battery and on the processing and communication workload. For these reasons, many research efforts have been focused on the use of low-power communication technologies, with the aim of optimizing the use of energy [4]. However, to achieve a practical and cost-effective integration of different applications, it is necessary to find a compromise between the size, cost and connection range of the network devices. For example, short-range wireless technologies, such as WiFi network devices, are not useful from an energetic point of view, while long-range technologies, such as GSM (Global System for Mobile Communications), are too expensive and not suitable for IoT applications. In recent years, Low Power Area Networks (LP-WANs) have received much consideration in the context of IoT due to their low power consumption and long-range capabilities. In this context, long-range (LoRa) and narrowband (NS) devices [5, 6, 7] are the leading LPWAN technologies in the design of Wireless Sensor Networks (WSNs) and are considered the basis for IoT applications (e.g. .medicine, industry, etc.). Smart cities are probably the most suitable application context for WSNs that allow the easy development of smart micro-grid, smart lighting, video surveillance and so on [8]. LoRa and ZigBee protocols have gained an important role as wireless middleware due to their simplicity and technical specifications that enable energy-efficient wireless communication over long distances.
In recent years, smart lighting systems have received global attention and several research programs have been carried out to demonstrate the potential and positive impact of smart technologies with the aim of increasing the efficiency of street lamp management. These technologies include street lamps with sensors, control algorithms and wireless communication to build a lighting solution that can work autonomously in the context of the Internet of Things (IoT) [9].
In general, a Smart Street can be defined as a street that consists of multifunctional smart light poles equipped with various devices that make it possible to communicate with each other and share data with a remote control system. The main objectives of a smart street lighting system include a better and more flexible exploitation of the urban environment, especially in terms of energy saving and cost reduction.
Many studies and projects on smart lighting infrastructure have been presented in the literature dealing with different aspects of a smart street lighting system. Among them, in [10] the technical aspects of smart infrastructure design for public lighting networks based on IEEE 802.15.4 short range communication technology are investigated. A case study related to a smart building application based on the long-range, low-rate LoRa communication protocol is also presented. In [11], the advantages of using DC LED lamps are emphasized in relation to traditional street lamps. In fact, the LED technology is characterized by a longer life, lower maintenance costs, higher efficiency, and above all, the lamp is free of mercury and appears to be easy to throw. In [12] an overview of the smart lighting system for outdoor and indoor applications is presented, while in [13] the impact of LED street lighting is analyzed and changes to street lighting regulations for cities are proposed to promote the adoption of the LED and to guarantee. technology. In [14], a prototype of a smart street lighting system is presented, where several DC street lights are powered by photovoltaic (PV) panels. The prototype includes a motion sensing circuit and uses a battery to store the excess energy generated by the solar panel. The overall result is a smart and efficient street lighting system.
Project Profile: D.c. Smart Street Lighting
A further reduction in energy consumption can be achieved if the intensity of the LED lamps is controlled by logic which, based on current traffic and weather information, can calculate appropriate brightness set points for specific areas or parts of the street, although to take some kind of action. “on demand” lighting system. The reference [15] presents a case study of an adaptive street lighting system based on a model that, from a theoretical point of view, can guarantee energy savings of up to 88% in relation to the use of conventional sodium lamps.
Here the main idea is to maintain the brightness of the lamps at their lowest level allowed in a certain part of the street compatible with national / regional standards and / or safety limits for both.
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