Biogas Recognition over Landfill with MOS Gas Sensors Array and PCA-quantile Regression
01 марта 2021 года
11:28
Biogas Recognition over Landfill with MOS Gas Sensors Array and PCA-quantile Regression
Текст новости:
Title: Biogas Recognition over Landfill with MOS Gas Sensors Array and PCA-quantile Regression
Author, co-author: Taguem Ngoualadjio, Eric Martial; Romain, Anne-Claude
Abstract: The monitoring of biogas emissions has become a concern regarding the greenhouse effect of methane emitted over the waste treatment plants. Besides, chemical sensors array as metal oxide semiconductor (MOS) one has the technical potential to manage, in real-time, these emissions. The use of these devices could help to organise fast, easy and regular controls regarding their low cost and their low power consumption. The data treatment of MOS sensors array signal is a crucial aspect for their use. In the purpose of performing biogas monitoring over a landfill, a prediction model based on PCA and quantile regression has been developed and tested over a landfill. The results showed that it was possible to recognise areas easily with biogas emissions and those with no emissions. Following these promising results, a mapping of methane concentrations over the landfill could capture possible emissions trends or patterns.

Связанные объекты: #PCA (найти в новостях).

Текст со страницы (автоматическое получение):
Biogas Recognition over Landfill with MOS Gas Sensors Array and PCA-quantile Regression
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[en] The monitoring of biogas emissions has become a concern regarding the greenhouse effect of methane emitted over the waste treatment plants. Besides, chemical sensors array as metal oxide semiconductor (MOS) one has the technical potential to manage, in real-time, these emissions. The use of these devices could help to organise fast, easy and regular controls regarding their low cost and their low power consumption. The data treatment of MOS sensors array signal is a crucial aspect for their use. In the purpose of performing biogas monitoring over a landfill, a prediction model based on PCA and quantile regression has been developed and tested over a landfill. The results showed that it was possible to recognise areas easily with biogas emissions and those with no emissions. Following these promising results, a mapping of methane concentrations over the landfill could capture possible emissions trends or patterns.
Name of the research project :
GRoNe Proje (2014-2020) – Project N° : 024-4-09-076
Target :
Автоматическая система мониторинга и отбора информации
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