Design of smart LED lighting switch with learning user's light controlling pattern

Zhang, Jie; Kim, Hwa Jong

doi:10.1109/ictc.2011.6082702

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Although LED lighting prices are falling with recent advancements in manufacturing technology, LED lighting is still costly. To this end, researchers have extensively carried out many previous works [31][32][33][34][35][36][37][38] to improve the economic feasibility of LED lighting through control algorithms based on sensor and network technology. When the user is not in the room or the room is too bright, these systems can reduce energy consumption by reducing the output power of the lighting instead of processing it under the same illuminance.…”

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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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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“…[2] This paper was proposed in 2012 which focused on saving energy efficiently using low power DC grid instead of AC power. It does not have an automatic control system, but it has a feature of controlling energy automatically.…”

Section: Fig 1211 the Implemented Mcu Boardmentioning

confidence: 99%

A Real Time Vision based Smart Bulb using Image Processing

Mahto¹,

Nair²

2017

IJCA

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Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology

et al. 2022

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Most installed lighting systems are outdated and have poor energy efficiency. Therefore, there is an urgent need for smart LED lighting systems that are energy efficient, easy to install, and inexpensive. In this article, a leader-follower smart office lighting control system based on Internet of Things (IoT) technology is proposed to satisfy the goal of saving energy through the coordinated operation of a system counter and an infrared (IR) human movement sensor (passive infrared (PIR) sensor). When no one is present in the space, all indoor LED lights are turned to low-light mode. Otherwise, all indoor LED lights are turned to high-light mode together. In addition to change the brightness of LED lights in the same area at the same time to save energy, the parameters of the LED lights can be set directly through microcontrollers via the IoT and the internet. If a general 15 W T8 LED tube (noninduction light) is replaced with the proposed leaderfollower office lighting system (assuming that the office is occupied for 10 hours a day and that the hourly low-light mode is 20 minutes), then the power-saving rate is as high as 28.13%.

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Design of smart LED lighting switch with learning user's light controlling pattern

Cited by 4 publications

References 4 publications

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

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

A Real Time Vision based Smart Bulb using Image Processing

Design and Implementation of a Leader-Follower Smart Office Lighting Control System Based on IoT Technology

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