Research on data acquisition for medical air quality detection

2015 ◽  
pp. 509-512
2019 ◽  
Author(s):  
Nikhitha N ◽  
Rajashekara Murthy S.

Proceedings ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 30 ◽  
Author(s):  
Jesús Lozano

This study addresses the development of a miniaturized wireless sensing module (electronic nose) for a personal use in air quality detection. [...]


2019 ◽  
Vol 9 (3) ◽  
pp. 1-18
Author(s):  
Louis Anton A. Cruz ◽  
◽  
Maria Teresa T. Griño ◽  
Thea Marie V. Tungol ◽  
Joel T. Bautista

Author(s):  
Fenglong Wu ◽  
Fangmei Liu ◽  
Yuan Feng ◽  
Zengyu Cai

Indoor air quality and human health have proven to be related, but for home environment air quality detection system equipment accuracy is not high problem. This paper designs an air quality detection system that effectively handles the information of indoor air pollution. The microcontroller unit (MCU) STC12C5A was taken as the core to realize the detection and display of particulate matter (PM) 2.5 concentration, temperature, and humidity. Compared with the measurements by standard instruments, our system was proved effective through tests: the relative error of PM2.5 concentration was smaller than 3μg/m3; the temperature error was within 1℃; the humidity error was below 5% relative humidity (RH). This research provides an effective way to detect indoor air quality. The results of this paper are suitable for home environment and have a good application prospect.


Author(s):  
Rafael Fayos-Jordan ◽  
Daniel Garcia-Costa ◽  
Adrian Suarez ◽  
Pedro A. Martinez ◽  
Jaume Segura-Garcia ◽  
...  

2019 ◽  
Vol 70 (10) ◽  
pp. 3495-3501

This paper presents the results of the air quality by the content of CO2, CO, PM2.5, PM10 and the microclimate (temperature and relative humidity) monitoring campaign, in Bucharest underground transport network. The monitoring was performed using both manual and automatic data acquisition systems. All the acquired data were stored in a specific database system used for fast reporting and alarming. GIS software was used to precisely locate the exterior air intakes for selected stations in order to know the quality of the exterior air circulated through them and for finding the best position for new ones. The research was conducted on different station platforms, belonging to the same line, in the Bucharest subway system throughout a year (2015) in order to improve air quality and comfort level of subway stations. The obtained results will serve as basis for improving the air quality and comfort level in the new long subway lines designed and built now in Bucharest. Keywords: indoor microclimate, air quality monitoring, data acquisition systems, temperature-humidity index, Geographic Information System


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