Real-Time Closed-Loop Color Control of a Multi-Channel Luminaire Using Sensors Onboard a Mobile Device

Tang, Samuel Jia Wei; Kalavally, Vineetha; Ng, Kok Yew; Tan, Chee Pin; Parkkinen, Jussi

doi:10.1109/access.2018.2872320

Cited by 12 publications

(5 citation statements)

References 32 publications

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“…al. [28] presenting a color control methodology for multi-channel luminaire systems using the camera on Android smartphones as the feedback sensor. The significance of a spectrally tunable luminaire is that the light's spectral power distribution (SPD) can be tuned during the course of a day such that it positively impacts the human circadian rhythm while consistently delivering high visual and energy performance.…”

Section: Introductionmentioning

confidence: 99%

The Spectral Optimization of a Commercializable Multi-Channel LED Panel With Circadian Impact

2020

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There exists a need for the design of light emitting diode (LED) luminaires which can deliver both visual and non-visual benefits of light to humans. In this work, we introduce an optimization approach based on spectral shaping for a minimalistic and practical design of a circadian-tunable multi-channel luminaire which also outputs white light with high quality and luminous efficacy of radiation (LER). The spectral optimization approach utilizes Multi-objective Genetic Algorithm to maximize circadian tunability, light quality and LER while minimizing the number of channels. Solution sets are constrained using the non-visual quality metric, Melanopic Efficacy of Luminous Radiation (MELR) from the Melanopic Equivalent Daylight Illuminance (MEDI) approach and the more stringent visual quality metric TM-30 in addition to conventional Color Rendering Index (CRI). By matching theoretically optimized LED parameters to commercially available LED parameters for commercialization purposes, we establish the maximum MELR tunability that is achievable with 4 and 5 LED channels and the resulting trade-off in efficacy and light quality. Based on the results and analysis in this work, we detail a spectral optimization approach to propel the field of indoor lighting towards human-centric lighting.

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Section: Introductionmentioning

confidence: 99%

The Spectral Optimization of a Commercializable Multi-Channel LED Panel With Circadian Impact

2020

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“…Tang et al [114] developed a real-time optimisation procedure for multi-channel LED luminaires, but the procedure cannot optimise metamer spectra. Therefore, the key technology for implementing our proposed smart lighting system is a real-time spectral black-box optimisation framework, featuring the calculating metamer spectra from any visual lighting metrics.…”

Section: Discussionmentioning

confidence: 99%

Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems

et al. 2021

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Modern indoor lighting faces the challenge of finding an appropriate balance between energy consumption, legal requirements, visual performance, and the circadian effectiveness of a spectrum. Multi-channel LED luminaires have the option of keeping image-forming metrics steady while varying the melanopic radiance through metamer spectra for non-visual purposes. Here, we propose the theoretical concept of an automated smart lighting system that is designed to satisfy the user’s visual preference through neural networks while triggering the non-visual pathway via metamers. To quantify the melanopic limits of metamers at a steady chromaticity point, we have used 561 chromaticity coordinates along the Planckian locus (2700 K to 7443 K, ±Duv 0 to 0.048) as optimisation targets and generated the spectra by using a 6-channel, 8-channel, and 11-channel LED combination at three different luminance levels. We have found that in a best-case scenario, the melanopic radiance can be varied up to 65% while keeping the chromaticity coordinates constant (Δu′v′≤7.05×10−5) by using metamer spectra. The highest melanopic metamer contrast can be reached near the Planckian locus between 3292 and 4717 K within a Duv range of −0.009 to 0.006. Additionally, we publish over 1.2 million optimised spectra generated by multichannel LED luminaires as an open-source dataset along with this work.

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“…In recent years, many lights monitoring and controlling systems have been published [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30], which can be divided into wired and wireless systems. Wired-based light-controlling systems can measure and record daylight and artificial illumination by adopting several sensors in the controller area networks (CAN) [15] or a suite of data logging devices [16] to adjust the lighting intensity and thereby adapt its energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…Tang et al [19] proposed a new method that uses an available camera mounted on a smartphone to perform closed-loop color control of the lighting system for smart home applications. The proposed method can handle multi-channel mixing of any color and white light with a high color-rendering index under the required correlated color temperature.…”

Section: Related Workmentioning

confidence: 99%

An Internet of Things (IoT)-Based Master-Slave Regionalized Intelligent LED-Light-Controlling System

et al. 2022

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Reducing residential and industrial electricity consumption has been a goal of governments around the world. Lighting sources account for a large portion of the whole energy/power consumption. Unfortunately, most of the existing installed lighting systems are ancient and have poor energy efficiency. Today, many manufacturers have introduced light-controlling systems into the current market. However, existing light controlling systems may not be successfully applied to buildings, streets, and industrial buildings due to high costs and difficult installation and maintenance. To combat this issue, this article presents an easy-to-install, low-cost, Master-Slave intelligent LED light-controlling system based on Internet of Things (IoT) techniques. The benefit of using the proposed system is that the brightness of the LED lights in the same zone can be changed simultaneously to save in energy consumption. Furthermore, the parameters of the LED lights can be directly set. Moreover, the related data are collected and uploaded to a cloud platform. In this article, we use 15 W T8 LED tubes (non-induction lamps) as a case study. When the proposed system is installed in a zone with few people, the energy-saving rate is as high as 90%. Furthermore, when 12 people pass by a zone within one hour, its energy-saving rate can reach 81%. Therefore, the advantages of using the proposed system include: (1) the original lamp holder can be retained; (2) no wiring is required; and (3) no server is set up. Moreover, the goal of energy saving can also be achieved. As a result, the proposed system changes the full-dark mode of the available sensor lamp to the low power low-light mode for standby. Further, it makes the sensor lamps in the same zone brighten or low-light way simultaneously, which can quickly complete large-scale energy-saving and convenient control functions of intelligent LED lighting controlling system.

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Real-Time Closed-Loop Color Control of a Multi-Channel Luminaire Using Sensors Onboard a Mobile Device

Cited by 12 publications

References 32 publications

The Spectral Optimization of a Commercializable Multi-Channel LED Panel With Circadian Impact

The Spectral Optimization of a Commercializable Multi-Channel LED Panel With Circadian Impact

Melanopic Limits of Metamer Spectral Optimisation in Multi-Channel Smart Lighting Systems

An Internet of Things (IoT)-Based Master-Slave Regionalized Intelligent LED-Light-Controlling System

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