Microcontroller and app-based air quality monitoring system for particulate matter 2.5 (PM2.5) and particulate matter 1 (PM1)

Avendano, Glenn O.; Cruz, Jennifer C. Dela; Ballado, Alejandro H.; Ulyzes, L. Gerich Rommel; Atienza, Audimar C. Paras; Regala, Brian Jose G.; Uy, Ricardo C.

doi:10.1109/hnicem.2017.8269517

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…As observed in table 1, miniaturization with MEMS helps to attain the limit of detection as low as 29.8 fg and 12 nm for particle concentration and its size, respectively Moreover, MEMS technology offers advantages such as low power, reliability, and the scaling potential to reduce the development cost. MEMS sensors can provide a direct mass weighing, as opposed to reference measuring instruments, such as optical particle counters, which indirectly estimate mass [31,32,52]. Moreover, MEMS sensors provide direct detection of particles rather than monitoring changes of parameters that could lead to the formation of particles [53].…”

Section: Mems Sensorsmentioning

confidence: 99%

“…These sensors rely on several assumptions to estimate the density and size distribution of particles, thus leading to inaccurate results. Moreover, these sensors use sophisticated optical elements (light emitting diode (LED),/laser diode for transmission, and photodiode/phototransistor for reception), [25][26][27][28][29][30][31][32], are complicated to use, and are also expensive [24]. The advantage with the optical monitor is at the places where it can be used to count the number of particles present in the environment (for example semiconductor clean room).…”

Section: Introductionmentioning

confidence: 99%

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MEMS sensor for detection and measurement of ultra-fine particles

Pachkawade

Tse

2022

Eng. Res. Express

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This paper investigates the performance of the micro-electro-mechanical systems resonant sensor used for particle detection and concentration measurement. The fine and ultra-fine particles such as particulate matter (PM), ferrous particles, and nanoparticles are known to contaminate the atmosphere, fluids used in industrial machines, and food, respectively. The physical principles involved in the target particles accumulating on the sensor are presented. Micro-gravimetric resonators that use piezoelectric and thermally actuated transducers for particle detection and concentration measurement in air and high-viscosity liquids are analyzed. Critical sensor features, such as maximum possible parametric sensitivity, the detection limit of particle size and mass concentration, linear dynamic range, and output stability, are thoroughly evaluated.

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Section: Mems Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MEMS sensor for detection and measurement of ultra-fine particles

Pachkawade

Tse

2022

Eng. Res. Express

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“…Air pollution is a threat to human health, particularly in the metropolitan area throughout the country. However, the impact of traffic activity may increase the amount of particulate matter (PM) emission and flue gas emissions [1], [2]. PM is a widespread air pollutant.…”

Section: Introductionmentioning

confidence: 99%

“…PM is a widespread air pollutant. Exposure to fine particles can cause short-term health effects, especially lung function [1]. Increased concentration of PM becomes the most important factor in air quality problems.…”

Section: Introductionmentioning

confidence: 99%

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Development of an Electrostatic Air Filtration System Using Fuzzy Logic Control

Meivita

Rivai

Irfansyah

2018

International Journal on Advanced Science, Engineering and Information Technology

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Particulate matter is one of the factors that can affect air quality. The air quality can be determined by the Air Pollution Index, which has several parameters including PM 10 and ozone (O 3 ). Air pollution can be overcome by using a filtration system based on electrostatic precipitation when particles are attached to the static charges. In this study, we have developed a prototype of the electrostatic filter based on fuzzy logic control to reduce air pollution of particulate matters. The electrostatic filter is an ozone generator consisting of plate-type corona discharge and a high voltage dc generator. The experimental results showed that the more ozone generators used as electrostatic filters, the faster the particulate concentration decreases. However, the use of ozone generators may increase the concentration of ozone in the air that can be harmful to human health. Therefore, we have developed an electrostatic precipitation-based air pollution control using fuzzy logic. Semiconductor gas sensor and laser dust sensor are used as feedback signals for the system in regulating the number of charges released by ozone generators. Implementation of this control system can reduce the particulates of PM 10 by 80% within 10 minutes while maintaining a low level of ozone during the air purification process.

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Real-Time Monitoring of PM2.5 with IoT

Kumar

Kant

2020

Lecture Notes in Electrical Engineering

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Microcontroller and app-based air quality monitoring system for particulate matter 2.5 (PM2.5) and particulate matter 1 (PM1)

Cited by 9 publications

References 2 publications

MEMS sensor for detection and measurement of ultra-fine particles

MEMS sensor for detection and measurement of ultra-fine particles

Development of an Electrostatic Air Filtration System Using Fuzzy Logic Control

Real-Time Monitoring of PM2.5 with IoT

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