Cloud based automatic street lighting control system

Younis, Manal F.; Salim, Sarah Sadeq

doi:10.1088/1742-6596/1973/1/012112

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…Then, the latter sends the request by RF to the other Xbee modules. Finally, the corresponding module transmits this request via a UART serial link, to the Arduino UNO microcontroller for processing and thus control the lighting of the LED lamp [27], [28]. Figure 6 shows the synoptic of remote control of three stand-alone PV streetlights.…”

Section: Experimental Platformmentioning

confidence: 99%

Implementation of a low-cost intelligent street light system using internet of things

Outferdine,

Cherifi,

Belkhiri

et al. 2024

IJEECS

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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.

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Section: Experimental Platformmentioning

confidence: 99%

Implementation of a low-cost intelligent street light system using internet of things

Outferdine,

Cherifi,

Belkhiri

et al. 2024

IJEECS

View full text Add to dashboard Cite

show abstract

“…However, it has proven challenging for a single type of sensor to meet the needs of intelligent lighting for urban roads due to the variability of external natural light (sunny, cloudy, etc.). New opportunities for investigating better and more efcient urban lighting control systems have emerged with the rapid growth of sensor technology, notably optical sensor technology [6]. Furthermore, this paper also focuses on the reasonable and intelligent control strategy needed for the intelligent lighting management system for urban highways, in addition to the assistance of sensor technology.…”

Section: Introductionmentioning

confidence: 99%

Design of the Urban Lighting Control System Based on Optical Multisensor Technology and the GM Model

Wu,

Tang

2023

Journal of Electrical and Computer Engineering

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Lighting has emerged as a central concern in the domain of city planning and design in recent decades. Better lighting does more than just make cities safer and more secure; it also makes them more aesthetically pleasing and easier to live in. A single type of optical sensor is no longer sufficient to meet the needs of intelligent lighting for urban roads, and as such, there is a growing demand for cutting-edge control systems that can adapt to the dynamic lighting needs in urban environments. This paper’s goal is to create an intelligent urban lighting control system by integrating optical multisensor technology and the gray model (GM model). Programmable logic controller (PLC) serves as the system’s central processing unit, with light intensity sensors and color sensor-detecting devices placed strategically throughout each city and linked directly to the controller. Each road streetlight is equipped with a motion sensor detection device that is tasked with identifying the presence of vehicles and pedestrians within its field of view. Data fusion technology is utilized to process the environmental data gathered by optical multisensors, the collected data are then used to control and predict outcomes using the robust prediction capability of the GM model, and the result is a lighting control strategy that is both efficient and intelligent. In the end, the strategy presented in this paper is applied to improving the management of an industrial park lighting system’s energy consumption. The results of the evaluations show that the fresh method is successful in dimming, prediction, and control. This conclusively demonstrates the efficacy of the paper’s proposed design solution, which integrates optical multisensor technology with sophisticated control algorithms and data analysis to improve the quality of life in urban areas by boosting the efficiency and sustainability of the urban lighting system.

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

Kanthi

Dilli

2023

Wireless Netw

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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.

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Cloud based automatic street lighting control system

Cited by 7 publications

References 2 publications

Implementation of a low-cost intelligent street light system using internet of things

Implementation of a low-cost intelligent street light system using internet of things

Design of the Urban Lighting Control System Based on Optical Multisensor Technology and the GM Model

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

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