Particulate Matter (PM) air pollution has received growing attention in recent years due to the increased sensitivity to the problem and the spread of low-cost sensing devices. These low-cost devices are able to produce valuable data, but they come with certain hurdles which are engineering challenges to be overcome. These challenges are mainly: reduction of consumed energy; reduction of data logged and transmitted; aging of sensors. The aim of this paper is to understand if it is possible to reduce the duty-cycle of an air pollution monitoring sensor and still get meaningful data on the general behavior. This has advantages from all perspectives: it enables less logging of redundant information; it reduces the strain of the sensor to extend its lifespan and to reduce maintenance costs; it reduces the energy consumed by the sensor, essential in battery-powered devices.

Low-cost PM Sensor Behaviour Based on Duty-Cycle Analysis / RAMIREZ ESPINOSA, GUSTAVO ADOLFO; Montrucchio, Bartolomeo; Giusto, Edoardo; Rebaudengo, Maurizio. - ELETTRONICO. - (2021), pp. 1-8. (Intervento presentato al convegno ETFA 2021 - 26th Conference on Emerging Technologies and Factory Automation tenutosi a Västerås (SE) nel 7-10 Settembre 2021) [10.1109/ETFA45728.2021.9613651].

Low-cost PM Sensor Behaviour Based on Duty-Cycle Analysis

Gustavo Ramirez Espinosa;Bartolomeo Montrucchio;Edoardo Giusto;Maurizio Rebaudengo
2021

Abstract

Particulate Matter (PM) air pollution has received growing attention in recent years due to the increased sensitivity to the problem and the spread of low-cost sensing devices. These low-cost devices are able to produce valuable data, but they come with certain hurdles which are engineering challenges to be overcome. These challenges are mainly: reduction of consumed energy; reduction of data logged and transmitted; aging of sensors. The aim of this paper is to understand if it is possible to reduce the duty-cycle of an air pollution monitoring sensor and still get meaningful data on the general behavior. This has advantages from all perspectives: it enables less logging of redundant information; it reduces the strain of the sensor to extend its lifespan and to reduce maintenance costs; it reduces the energy consumed by the sensor, essential in battery-powered devices.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2914307