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
Download:
PWC-2006-TC19-025u.pdf
DOI:
-
Event details
Event name:
XVIII IMEKO World Congress
Title:

Metrology for a Sustainable Development

Place:
Rio de Janeiro, BRAZIL
Time:
17 September 2006 - 22 September 2006