Authors:
Andrzej Szczurek
;
Monika Maciejewska
and
Paulina Szczepanek
Affiliation:
Wroclaw University of Science and Technology, Poland
Keyword(s):
Multi-point Sampling, Gas Sensor, Indoor Air, Occupancy, Impact.
Related
Ontology
Subjects/Areas/Topics:
Applications and Uses
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Environment Monitoring
;
Gas Analysis and Sensing
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Multi-Sensor Data Processing
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Statistical and Adaptive Signal Processing
Abstract:
Quality of indoor air (IAQ) is one of considerable concerns of today. Its evaluation through measurement is
highly requested, but difficult. The reason is the numerosity of influencing factors involved as well as sig-
nificant temporal and spatial variability of IAQ. In this work, we proposed a sensor system with multi-point
sampling for this purpose. It is based on semiconductor gas sensor. The measurements were performed in
a concert hall. The measurement procedure included sensor exposure to gas samples delivered from four
sampling points, interchangeably with purified air for sensor regeneration. The obtained results show that the
sensor system with multi-point sampling is a promising concept for indoor air monitoring. It was demon-strated that the system is applicable to determine the influence of occupants on IAQ. It is possible, because
human beings release VOCs, which are measurable by semiconductor gas sensors. Sensor regeneration plays
crucial role in the system ope
ration. For achieving valuable results it is necessary to apply sensor signal
pre-processing, which consist in baseline correction.
(More)