Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices
Reliable information on the particulate matter (PM) concentration in the air is provided by professional, reference measuring devices. In recent times, however, measuring devices using low-cost PM sensors have been gaining more and more popularity. Low-cost PM sensors are not as accurate as professi...
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2018-01-01
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Online Access: | https://doi.org/10.1051/shsconf/20185702009 |
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doaj-850262ff80d04a6e900c5a11fed119852021-04-02T15:30:47ZengEDP SciencesSHS Web of Conferences2261-24242018-01-01570200910.1051/shsconf/20185702009shsconf_infoglob2018_02009Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost DevicesRogulski Mariusz0Badyda Artur1Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental EngineeringWarsaw University of Technology, Faculty of Building Services, Hydro and Environmental EngineeringReliable information on the particulate matter (PM) concentration in the air is provided by professional, reference measuring devices. In recent times, however, measuring devices using low-cost PM sensors have been gaining more and more popularity. Low-cost PM sensors are not as accurate as professional devices and can under certain circumstances significantly distort results. Therefore comparative measurements with professional devices and the determination of the corrective function are necessary. The article presents the results of tests on the accuracy of measurements made with the use of such sensors after applying a correction function. The form of the correction function was determined based on several months of comparative tests low-cost sensors with reference device. Then, for a different set of low-cost sensors, a correction function was applied and again, during several months of research, the measurement results were compared with a reference device. This made it possible to determine the real measurement uncertainty of this type of equipment, as well as the need to support measurements using earlier comparative tests. Results showed, that for analysed low-cost PM sensors and correction function measurement error was about 15%.https://doi.org/10.1051/shsconf/20185702009 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rogulski Mariusz Badyda Artur |
spellingShingle |
Rogulski Mariusz Badyda Artur Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices SHS Web of Conferences |
author_facet |
Rogulski Mariusz Badyda Artur |
author_sort |
Rogulski Mariusz |
title |
Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices |
title_short |
Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices |
title_full |
Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices |
title_fullStr |
Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices |
title_full_unstemmed |
Application of the Correction Function to Improve the Quality of PM Measurements with Low-Cost Devices |
title_sort |
application of the correction function to improve the quality of pm measurements with low-cost devices |
publisher |
EDP Sciences |
series |
SHS Web of Conferences |
issn |
2261-2424 |
publishDate |
2018-01-01 |
description |
Reliable information on the particulate matter (PM) concentration in the air is provided by professional, reference measuring devices. In recent times, however, measuring devices using low-cost PM sensors have been gaining more and more popularity. Low-cost PM sensors are not as accurate as professional devices and can under certain circumstances significantly distort results. Therefore comparative measurements with professional devices and the determination of the corrective function are necessary. The article presents the results of tests on the accuracy of measurements made with the use of such sensors after applying a correction function. The form of the correction function was determined based on several months of comparative tests low-cost sensors with reference device. Then, for a different set of low-cost sensors, a correction function was applied and again, during several months of research, the measurement results were compared with a reference device. This made it possible to determine the real measurement uncertainty of this type of equipment, as well as the need to support measurements using earlier comparative tests. Results showed, that for analysed low-cost PM sensors and correction function measurement error was about 15%. |
url |
https://doi.org/10.1051/shsconf/20185702009 |
work_keys_str_mv |
AT rogulskimariusz applicationofthecorrectionfunctiontoimprovethequalityofpmmeasurementswithlowcostdevices AT badydaartur applicationofthecorrectionfunctiontoimprovethequalityofpmmeasurementswithlowcostdevices |
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