Authors:
Andrzej Szczurek
and
Monika Maciejewska
Affiliation:
Wroclaw University of Technology and Faculty of Environmental Engineering, Poland
Keyword(s):
Indoor Air Quality, Gas Sensor, Classification.
Related
Ontology
Subjects/Areas/Topics:
Applications and Uses
;
Data Manipulation
;
Environment Monitoring
;
Home Monitoring and Assisted Living Applications
;
Reasoning on Sensor Data
;
Sensor Networks
;
Well-Being and Well-Working
Abstract:
Daily practice, but also research, show that poor indoor air quality (IAQ) is a serious problem in many
vehicles. In this work we present an approach to the evaluation of air quality in car cabin. It consists in IAQ
classification. We focussed on defining classes in a way which may be useful for improving air quality
during a trip. In order to assure the provision of objective information, IAQ classes are specified with
reference to measurable parameters of indoor air. The parameters: temperature, relative humidity, CO2
concentration and VOC content indicator are considered jointly. Class assignment is realized on a software
level, based on the measurement data provided by the sensor module located inside car cabin. The final
announcement received by the driver refers to the class of indoor air. It informs about: thermal conditions,
air humidity and air freshness. These components correspond to the capabilities of air handling system in
the car and they were included in the message t
o provide hints for improving air quality. The information is
delivered in real time. We believe, the implementation of the presented approach will contribute to the
improvement of car microenvironment upon driving.
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