Evaluation for Effectiveness of Individual Lighting Control using Image-based Motion Sensor

Yano

Huang

et al. 2020

Self Cite

In this study, we propose a daylight‐linked gradation lighting control, which adjusts the dimming level of a light above an occupant according to daylight and also gradually lowers the dimming level of surrounding lights based on the distance from the occupants by using image‐based motion sensors. We evaluated it in terms of both energy savings and visual comfort of the occupants in comparison experiments. Compared with the individual occupancy control (IC), the actual and simulated median energy savings of daylight‐linked gradation control (DGC) were 27.1 and 28.9%, respectively, per day. The results of a questionnaire consisting of seven questions and using a semantic differential method for scoring visual comfort showed that the DGC tended to improve visual comfort compared with the IC. Further experiments, however, are needed as only four of nine occupants responded to the questions. In addition, we found that the DGC creates a smoother contrast in the office than the IC, which may produce conspicuous changes in illumination intensity. Finally, we analyzed the advantages and disadvantages of the DGC on the basis of our experimental results. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Section: Resultsmentioning

confidence: 81%

Section: Lighting Control Using Image‐based Motion Sensorsmentioning

confidence: 99%

“…IC, whose implementation was presented in Refs , turns on only the lights directly above the occupants using image‐based motion sensors (Fig. (a)).…”

Section: Lighting Control Using Image‐based Motion Sensorsmentioning

confidence: 99%

“…Gradation control gradually dims unoccupied lights based on the distance from the occupied area to create a smoother contrast . Ref.…”

Section: Lighting Control Using Image‐based Motion Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Experimental evaluation for daylight‐linked gradation lighting control using image‐based motion sensors

Yano

Huang

et al. 2020

Self Cite

Experimental Evaluation of Reduction Technique for Time Delay of Turning Off Light to Occupancy Lighting Control

Hayasaka

Taniguchi

et al. 2020

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In this study, we clarify the effectiveness of the energy-effective techniques for the occupancy lighting control that is based on an occupancy sensor. The time delay from detecting no occupant to turning off the light is used for performing the occupancy control to avoid erroneously turning off the light (hereafter referred to as false-off). Our experiment was conducted at an actual home environment over 8 days. We evaluated the performance of an image-based sensor, which detects the occupants using image-processing techniques and time-delay adaptation, which decreases the time delay without false-off. Compared with a passive infrared sensor, the image-based sensor increased the average sensing accuracy for occupants with small movements by 21.58% or more. In addition, compared with the no-adaptation case, the time-delay adaptation increased the rate of average lighting energy saving by 3.94% or more. However, the experimental results suggested that the parameter of the time-delay adaptation should be carefully set in terms of the energy-saving effect and false-off. The analysis and its practical discussions are included in this paper to achieve further energy efficiency.

Experimental Evaluation of Occupancy Lighting Control Using Thermal‐Based Sensor

Hayasaka

Nakajima

2022

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In this paper, we aim to clarify the effectiveness of a thermal-based sensor, which applies image recognition technique to thermal image to measure occupancy state. Our experiment, which was conducted at a single private office over 8 days, evaluated both energy-saving rate of occupancy control and F-measure, which is the comprehensive metric of measurement accuracy. The thermal-based sensor increased the F-measure and energy-saving rate by 2.23% and 27.91%, respectively, compared with the passive infrared sensor, which measures the occupancy state on the basis of change in infrared temperature. Compared with an image-based sensor, which applies image recognition technique to visible image, it can provide high privacy and security preserving capability and detect occupants under completely dark environment. However, the F-measure and energy-saving rate were decreased by 3.13% and 19.07%, respectively. Further results and discussion are included herein toward analysis and improvement of the thermal-based sensor.