Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractPlant growth-promoting rhizobacteria: Salt stress alleviators to improve crop productivity for sustainable agriculture development    Next AbstractSpodoptera litura-mediated chemical defense is differentially modulated in older and younger systemic leaves of Solanum lycopersicum »

Int J Environ Res Public Health


Title:Smart-Autonomous Wireless Volatile Organic Compounds Sensor Node for Indoor Air Quality Monitoring Application
Author(s):Kuncoro CBD; Asyikin MBZ; Amaris A;
Address:"Department of Refrigeration, Air Conditioning and Energy Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan. Department of Informatics Engineering, Faculty of Computer Science, Universitas Brawijaya, Malang 65145, Indonesia"
Journal Title:Int J Environ Res Public Health
Year:2022
Volume:20220220
Issue:4
Page Number: -
DOI: 10.3390/ijerph19042439
ISSN/ISBN:1660-4601 (Electronic) 1661-7827 (Print) 1660-4601 (Linking)
Abstract:"Several studies reported the significant effect of indoor air quality on human health, safety, productivity, and comfort because most humans usually conduct 80%-90% of their activity inside the building. This is generally due to the fact that indoor pollution is associated with volatile organic compounds (VOCs), pollutants with chronic health effects, both non-carcinogenic and carcinogenic, on humans. Therefore, this study focused on developing wireless VOCs sensor nodes with a low-power strategy feature to perform an autonomous operation in indoor air quality monitoring (IAQM). The sensor node mainboard consists of a microcontroller-based AVR (ATmega-4808) that supports a low power mode and low-power IAQ-Core sensor for VOCs detection. The low-power sensing algorithm developed also allowed the sensor node to consume a total power of 0.22 mAh for one cycle of operation, which includes the initial process, TVOCs value reading process, data transmitting process, and low power mode process at a time interval of 30 min. The most significant power was observed to be consumed in the data transmitting process with 0.13 mAh or 58% of total power consumption in one cycle of sensor node operation. Furthermore, the 10F capacitance of the supercapacitor was able to drive the VOCs sensor node for 139 s and it was recommended that further studies use micro energy harvesting (from an indoor environment) to extend its lifetime. The 1541-minute field experiment conducted also showed that TVOCs and CO(2) values were successfully measured and displayed over an internet connection on the monitoring terminal dashboard. The recorded real-time TVOCs value of 175 ppb (<200 ppb) indicates good air quality"
Keywords:"*Air Pollutants/analysis *Air Pollution, Indoor/analysis Environmental Monitoring *Environmental Pollutants Humans *Volatile Organic Compounds/analysis Iaqm TVOCs low power sensor node;"
Notes:"MedlineKuncoro, C Bambang Dwi Asyikin, Moch Bilal Zaenal Amaris, Aurelia eng Research Support, Non-U.S. Gov't Switzerland 2022/02/26 Int J Environ Res Public Health. 2022 Feb 20; 19(4):2439. doi: 10.3390/ijerph19042439"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024