The Internet of Lights: An Open Reference Architecture and Implementation for Intelligent Solid State Lighting Systems

Mathews, Emi; Guclu, Salih Serdar; Liu, Qingzhi; Özçelebi, Tanır; Lukkien, Johan J.

doi:10.3390/en10081187

Cited by 15 publications

(9 citation statements)

References 5 publications

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“…The limitations of existing literature reviews in this regard are addressed in this paper. Afzalan and Jazizadeh (2019); Kumar and Singh (2019); Matheus et al (2019); Udvary (2019); Vappangi and Mani (2019); Zafar, Karunatilaka, and Parthiban (2015); Wu, Wang, and Youn (2014); Sharma et al (2018); Pathak et al (2015); Ndjiongue and Ferreira (2018); Medina, Zambrano, and Navarro (2015); Mathews et al (2017); Luo, Fan, and Li (2017); Lian et al (2019); Khan (2017); Karunatilaka et al (2015); Jovicic, Li, and Richardson (2013); Ji et al (2018); Hassan et al (2015); Burchardt et al (2014); Haas et al (2016); Elgala, Mesleh, and Haas (2011); Cevik and Yilmaz (2015)…”

Section: Insights From Previous Literature Reviewsmentioning

confidence: 99%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

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Artificial lighting is a constant companion in everyday private and working life, influencing visibility in interior spaces as well as outdoors. In recent years, new technical solutions have extended traditional lighting systems to become 'smart'. Different types of smart lighting systems are available on the market today, and researchers have concentrated on analysing their usability and efficiency, especially for private households, office buildings and public streets. This paper presents a systematic literature review to analyse the state-of-knowledge of technologies and applications for smart lighting systems. The results of the review show that smart lighting systems have been frequently discussed in the literature, but that their potentials in industrial environments, such as production and logistics, has rarely been addressed in the literature so far. Lighting systems for industrial environments often have very different requirements depending on the working environment and operating conditions. Based on the results of the literature review, this paper contributes to closing this research gap by discussing the usage potential of smart lighting systems to improve the efficiency of warehouse order picking, which is an application that may benefit from various functions smart lighting systems provide. Several propositions are developed that emphasise research opportunities and managerial implications in this context.

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Section: Insights From Previous Literature Reviewsmentioning

confidence: 99%

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Füchtenhans

Grosse

Glock

2021

International Journal of Production Research

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“…The thermal behavior and the light depreciation along the LED life have also been improved thus making possible the construction of high power modules [2,3]. For example, there can be found currently in the market chip-on-board (COB) LED modules of more than 200 W. Another important feature of LEDs is their fast response and ease of control, enabling the implementation of complex control strategies [4][5][6]. All these improvements, combined with the continuous cost reduction that has taken place in recent years, have made LEDs the preferred choice for most lighting applications nowadays.…”

Section: Introductionmentioning

confidence: 99%

Single-Switch LED Post-Regulator Based on a Modified Class-E Resonant Converter with Voltage Clamp

et al. 2019

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The strict restrictions imposed both by mandatory regulations and by the recommendations contained in current standards have led to the fact that most commercially available LED ballasts nowadays use two-stage topologies. The first stage is intended to comply with the harmonics standards and the second stage is used to control the LED current and reduce the low frequency ripple. In this work, a new DC-DC resonant converter topology is presented. This topology is derived from a modified Class-E resonant inverter by adding a clamping diode. This diode achieves a double goal: it limits the maximum switch voltage and works as a power recirculating path. This way, the proposed topology behaves as a loss-less impedance placed in series with the LED thus allowing to control the output power. This converter maintains the extremely small switching losses inherent to the Class-E inverter while reducing the voltage stress across the switch. This work presents a simplified design methodology based on the fundamental approach. This methodology was used to design and build a DC-DC post-regulator for a 40 W LED lamp. The results obtained with the laboratory prototype show that this circuit can be used to stabilize and dim the LED current while maintaining very small losses. The measured efficiency was 95.7% at nominal power and above 90% when dimmed down to 25%.

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“…The sensors commonly used in smart lighting are motion sensors, occupancy sensors, and light sensors [95]. The light sensor is for efficiency, while the motion sensor is for user comfort.…”

Section: ) Smart Lighting Sensors and Actuatorsmentioning

confidence: 99%

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

et al. 2022

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Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

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The Internet of Lights: An Open Reference Architecture and Implementation for Intelligent Solid State Lighting Systems

Cited by 15 publications

References 5 publications

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Single-Switch LED Post-Regulator Based on a Modified Class-E Resonant Converter with Voltage Clamp

Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey

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