A SMART-AUTOLEARNED ARCHITECTURE AND PROTOCOL FOR VOLATILE ORGANIC COMPOUND MEASUREMENT

Aimé Lay-Ekuakille, Salvatore Gioffreda , Amerigo Trotta

Abstract

Emissions monitoring of volatile organic compounds (VOC) from industrial facilities is complex for both economical, computational and practical reasons. A new wide areas monitoring approach based on "few sensors" wireless network supported by a predictive learning algorithm and an air modeling software can obtain both local and wide VOC estimation.

Keywords

Volatile organic compounds (VOC), learning algorithm, air monitoring, wireless sensors

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PWC-2006-TC19-025u.pdf

DOI

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IMEKO TC

TC19 - Environmental Measurements

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