Open AccessReliable e-nose for air toxicity monitoring by filter diagonalization method
Author(s) -
Ricardo Macías-Quijas,
Ramiro Velázquez,
Roberto De Fazio,
Paolo Visconti,
Nicola Ivan Giannoccaro,
A. Lay-Ekuakille
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i2.pp1286-1298
Subject(s) - computer science , electronic nose , software deployment , modular design , wireless sensor network , filter (signal processing) , environmental science , real time computing , artificial intelligence , computer vision , computer network , operating system
This paper introduces a compact, affordable electronic nose (e-nose) device devoted to detect the presence of toxic compounds that could affect human health, such as carbon monoxide, combustible gas, hydrogen, methane, and smoke, among others. Such artificial olfaction device consists of an array of six metal oxide semiconductor (MOS) sensors and a computer-based information system for signal acquisition, processing, and visualization. This study further proposes the use of the filter diagonalization method (FDM) to extract the spectral contents of the signals obtained from the sensors. Preliminary results show that the prototype is functional and that the FDM approach is suitable for a later classification stage. Example deployment scenarios of the proposed e-nose include indoor facilities (buildings and warehouses), compromised air quality places (mines and sanitary landfills), public transportation, mobile robots, and wireless sensor networks.