LED array light source illuminance distribution and photoelectric detection performance analysis in dust concentration testing system

Li, Hanshan; Sang, Xiaoyue

doi:10.1016/j.sna.2018.01.019

Cited by 15 publications

(7 citation statements)

References 6 publications

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“…La tecnología Light-Emitting Diode tiene además una notable presencia en los estudios de detección química, utilizando el rango entre UV (Ultravioleta) e IR (Infrarrojo) (247-3800 nm, respectivamente) [8], para detectar metales pesados, toxinas y gases tóxicos, nutrientes ambientales, así como productos bioquímicos y compuestos relacionados con riesgos biológicos. Existe también la posibilidad de medir la concentración de polvo atmosférico, mediante nuevos métodos de transmisión de luz con LEDs [9].…”

Section: Distance and Light Intensity Smart Lampunclassified

Distance & Light Intensity Smart Lamp = Distancia e intensidad de luz de lampara inteligente

Álvarez

2019

BMA

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This work proposes an electronic system which, adapted to a LED lamp, optimizes the use of electrical energy, improves lighting comfort, etc. All this is possible with the programming of an Ultrasonic Distance Sensor (#28015) through an Arduino Nano Rev. 3. This Arduino, connected to actuators, regulates the intensity of the light depending on the distance between the lamp and the work area. In case an object or a human being approaches or moves away from the lamp, the luminous intensity will increase or decrease in relation to the previously established parameters. In order to achieve this objective, the installation of a breadboard of the proposed system is carried out for its subsequent testing and simulation. Several open source software are also used, such as: Arduino, Fritzing, Inkspace, etc. The Arduino is used to program the brain of the operation, that is, the microcontroller in the arduino platform; Fritzing for the digital assembly in breadboard, its schematic and the PCB (Print Circuit Board), all this of the proposed circuit; and Inkspace for the creation of the components that are not available in the Fritzing. This project combines three technologies, which combined, result in a Distance & Light Intensity Smart Lamp.

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Section: Distance and Light Intensity Smart Lampunclassified

Distance & Light Intensity Smart Lamp = Distancia e intensidad de luz de lampara inteligente

Álvarez

2019

BMA

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“…Previous researches have been reported that light sources such as laser diode, infrared, and LED photodiode were examined how light source can influence the sensing of particulate matters [5,6,7]. Depending on the light source, single point detection, uniformity issue, and brightness difference were reported to limit the sensitivity of dust sensors [8]. For more accurate concentration, particle counters utilizing Beta ray absorption method were tested and authorized to report daily data of particulate matters those have aerodynamic diameter less than 10 and 2.5 μm in Korea [9].…”

Section: Introductionmentioning

confidence: 99%

Optical Sensing Approach to Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management

Ahn¹,

Kang²,

Choi³

et al. 2020

Preprint

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As climate changes, our daily life has been much influenced by abnormal meteorological phenomena such as heavy rainfall, heat wave, heavy snowfall, and fine dust. Atmospheric air quality is worsening day by day and indoor air quality is also affected by interconnected daily activities throughout the inside and outside of buildings and houses. Nowadays, pollutants from various sources are emitted, transformed by sunlight, vapor, and ozone and transported into the city from country to country. Due to these reasons, there have been high demands to monitor the transportation of particulate matters and improve air quality. Monitoring of pollutants and identification of type and its concentration enables us to track and control its generation and consequently find out the solution. However, monitoring of pollutants, especially, particulate matter generation and its transportation is still not fully operated in atmospheric air due to its open nature and meteorological factors. Even though indoor air is relatively easy to monitor and control than outdoor in the aspect of specific volume and contaminant source, but it still needs to consider the meteorological parameters because indoor air is not fully separated from the outdoor air flow and contaminants transportation. In this study, optical approach using spectral sensor was attempted to reveal the feasibility of wavelength and chromaticity values of reflected light from specific particles. From the analysis of reflected light of various particulate matters according to different liquid additives, parameter studies were performed to investigate which experimental conditions can contribute to the enhanced selective sensing of particulate matters. Five different particulate matters such as household dust, soil, talc powder, gypsum powder and yellow pine tree pollen were utilized and observed to elucidate the relationship between property of particulate matter and detected light spectrum. Applicable approaches to assist current particle matter sensors and improve the selective sensing were suggested.

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“…The other factor to govern the dust level is the interaction between the light source and particulate matters. In previous research, light sources such as laser diode, infrared and LED photodiode were used to examine how light source can influence the sensing of particulate matters [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Optical Sensing Approach to the Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management

et al. 2020

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The indoor environment is a crucial part of the built environment where our daily time is mostly spent. It is governed not only by indoor activities, but also affected by interconnected activities such as door opening, walking and routine tasks throughout the inside and outside of buildings and houses. Pollutant control is one of the major concerns for maintaining a sustainable indoor environment, and finding the source of pollutants is a relatively hard part of that task. Pollutants are emitted from various sources, transformed by sunlight, react with vapor in ozone and are transported into cities and from country to country. Due to these reasons, there has been high demand to monitor the transportation of particulate matters and improve air quality. The monitoring of pollutants and identification of their type and concentration enables us to track and control their generation and consequently discover reliable suitable mitigation measures to control air quality at regulated levels by contaminant source removal. However, the monitoring of pollutants, especially particulate matter generation and its transportation, is still not fully operated in atmospheric air due to its open nature and meteorological factors. Even though indoor air is relatively easier to monitor and control than outdoor air in the aspect of specific volume and contaminant source, meteorological parameters still need to be considered because indoor air is not fully separated from outdoor air flow and contaminants’ transportation. In this study, an optical approach using a spectral sensor was attempted to reveal the feasibility of wavelength and chromaticity values of reflected light from specific particles. From the analysis of reflected light of various particulate matters according to different liquid additives, parameter studies were performed to investigate which experimental conditions can contribute to the enhanced selective sensing of particulate matter. Five different particulate matters such as household dust, soil, talc powder, gypsum powder and yellow pine tree pollen were utilized. White samples were selectively identified by the peak at 720 nm for talc and 433 nm and 690 nm in wavelength for gypsum under chemical additives. Other grey household dust and yellowish soil and pine tree pollen revealed a distinct chromaticity x, y coordinates shift in vector within the maximum range from (0.22, 0.19) to (0.55, 0.48). Applicable approaches to assist current particle matter sensors and improve the selective sensing were suggested.

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LED array light source illuminance distribution and photoelectric detection performance analysis in dust concentration testing system

Cited by 15 publications

References 6 publications

Distance & Light Intensity Smart Lamp = Distancia e intensidad de luz de lampara inteligente

Distance & Light Intensity Smart Lamp = Distancia e intensidad de luz de lampara inteligente

Optical Sensing Approach to Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management

Optical Sensing Approach to the Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management

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