Smart Lighting System Diaconu, E.M.
The scientific bulletin of Electrical Engineering Faculty,
04/2021, Letnik:
21, Številka:
1
Journal Article
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This paper proposes a system that allows the control of the lights in a house, building/edifice. The system can be controlled by an application that is made in MIT App Inventor for mobile devices ...that use Android OS(operating system). The application sends data, via Bluetooth, to the control center, the control center powers on the selected light by turning it on and setting its intensity based on the user preferences. The control center is made from an Arduino Nano programing board, the signal used for powering the lights and setting the brightness is a PWM (Pulse Width Modulation) signal. The system contains the Arduino Nano board, Bluetooth HC-05 module for communication with the mobile application and four LED’s that are used to simulate the lights.
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.
Lighting, both indoor and outdoor, consumes a substantial amount of energy, making improved efficiency a significant challenge. A promising approach to address outdoor lighting is the smart control ...of public lighting. Smart lighting using electronically controlled light-emitting diode (LED) lights for adaptable illumination and monitoring is being used to achieve an energy efficient system. However, the traffic engineering integrated with smart control for energy optimization has not been widely used. In this paper, a novel concept of traffic-flow-based smart (LED) street lighting for energy optimization is proposed. The developed smart grid architecture-based system uses low power ZigBee mesh network to provide maximum energy efficiency in response to adaptive traffic on the road. Moreover, the scalable wireless network of smart LED lights offers improved reliability, reduced cost, and more user satisfaction. In order to validate the performance, the proposed system was implemented and tested in a real environment inside a university campus. Experimental results show that in comparison with the replaced conventional metal halide lighting, our system is capable of 68%-82% energy savings depending on the variations in daylight hours between summer and winter. A significant reduction in greenhouse gases, improved overall system reliability, and reduced maintenance due to smart control suggests promising results for future wide-area deployment.
Smart cities and intelligent technologies are changing and modernizing civilization. Population growth demands the development of intelligent infrastructure for sustainable life. With the ...proliferation of urban into metropolitan, the utility of street lights has increased substantially, leading to high energy demand. The conventional street lighting system consumes much energy compared to the intelligent lighting system. Many studies have proposed different street lighting systems for energy saving and reduced financial burden. Light Emitting Diode (LED) was initially employed in street lighting systems to reduce power consumption. Innovative technologies with the LED street lighting system have enhanced the potential to conserve more energy. In this paper, an adaptive part-night lighting system and traffic-aware street lighting system have been proposed and implemented on the university campus. Two types of traffic-aware systems, GPS sensors, are discussed and compared with different lighting systems, whereas PIR sensor street lighting system is implemented in the testbed. These systems control the illumination of LED streetlights upon detection of vehicles and pedestrians. Power consumption, economic accountability, and environmental impact caused by various street lighting systems have been discussed to endeavor sustainable utility. Cost analysis and power consumption analysis have been carried out for six months. In addition, the installation cost of LED streetlights and various intelligent street lighting systems have been compared for future projects. Compared to the conventional lighting system, the total cost saving of 96% can be achieved by using traffic-aware smart LED and emission of
CO
2
can be reduced by 96.24%. The smart street lighting system is eco-friendly and could provide a better-quality lighting system in the city.
Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing ...them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.
Natural light continuously changes its correlated color temperature (CCT) from sunrise to sunset, providing the best color reproducibility and healthy light. In the lighting field, efforts have been ...made to improve the Color Rendering Index (CRI) to provide light quality at the same level as natural light. A unique light source technology that mixes and controls multiple LED light sources with different spectral or CCT characteristics or provides a high color rendering index has been introduced. However, the characteristics of natural light, which provide high CRI light while changing color temperature every moment, could not be reproduced as they were. Therefore, in this paper, we propose a CRI-based smart lighting system that reproduces natural light characteristics, provides light with high color reproducibility, and maintains homeostasis even under the changing environment of natural light CCT. After extracting the CCT for each day from the characteristics of measured natural light, the light with the highest CRI under the CCT condition for each hour was provided through a CRI-based CCT matching algorithm. Performance evaluation was conducted for four-channel LED experimental lighting. For each clear and cloudy day, daily natural light was reproduced with a light quality higher than average CRI 98 within the MAE range of CCT 6.78 K.
Solid-state lighting (SSL) devices are ubiquitous in several markets, including architectural, automotive, healthcare, heritage conservation, and entertainment lighting. Fine control of the LED light ...output is crucial for applications where spectral precision is required, but dimming LEDs can cause a nonlinear response in its output, shifting the chromaticity. The nonlinear response of a multi-color LEDs can be corrected by curve-fitting the measured data to input dimming controls. In this study, the spectral output of an RGB LED projector was corrected using polynomial curve fitting. The accuracy of four different measurement methods was compared in order to find the optimal correction approach in terms of the time and effort needed to perform measurements. The results suggest that the curve fitting of very high-resolution dimming steps (n = 125) significantly decreased the chromaticity shifts between measured (actual) and corrected spectra. The effect size between approaches indicates that the curve-fitting of the high-resolution approach (n = 23) performs equally well as at very high resolution (n = 125). The curve-fitting correction can be used as an alternative approach or in addition to existing methods, such as the closed-loop correction. The curve fitting method can be applied to any tunable multi-color LED lighting system to correct the nonlinear dimming response.
Smart LED high CRI lighting systems Grzesiak, Wojciech; Guzdek, Piotr; Maćków, Piotr ...
Microelectronics international,
07/2018, Letnik:
35, Številka:
3
Journal Article
Purpose
The purpose of this paper is to present issues related to the design of a modern lighting system based on LED technology. The developed system provides lighting with a high colour rendering ...index (up to 98); it also has many innovative functions, which make its implementation bring significant energy savings and increase the comfort of work.
Design/methodology/approach
In contrast to typical solutions, the dynamic synthesis of white light from six component colours was used in the presented project. This process is controlled by a microcontroller, and there is a colour temperature sensor in the feedback loop. The communication between smart luminaires and sensor modules is provided by means of a ZigBee wireless network.
Findings
The correctness of the proposed methodology has been proved by measurements and laboratory tests.
Research limitations/implications
The process of improving the lighting system is continued and significant changes in the spectrum of used sensors are expected.
Practical implications
The proposed system based on mixing light from six components is an innovative solution that besides undoubted advantages entails a more elaborate electronic circuitry. However, good characteristics of the obtained light, as well as the possibility of compensating for changes in colour temperature of natural light and reducing the impact of aging of LEDs, in the authors’ opinion, make the proposed solution find its place on the market.
Originality/value
The proposed solution is original, both in terms of the light mixing technique and advanced functionality offered by the system.
This paper presents an easy-to-use sensor aimed for traffic safety applications using visible light communications. A central problem in this area is the design of a suitable sensor able to enhance ...the conditioning of the signal and to avoid disturbances due to the environmental conditions. The visible light communication sensor proposed in this paper addresses these issues and enables a robust communication for short to medium distances. The presentation is focused on hardware aspects and low-level coding techniques. The experimental validation of the proposed sensor has been conducted by analyzing communication performances between a commercial traffic light and the sensor, for distances up to 50 m. The measurements exhibit bit error ratio lower than 10^{-7} in an outdoor configuration , using two well-known codes (Manchester and Miller) without any error-correcting codes or complex signal processing. The prototype is aimed for automotive applications but other outdoor configurations can also be addressed by slight changes in the system design.
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