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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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  • DOI:
    _unreg_wc-2006.TC19-025

Event details:

  • IMEKO TC:
  • Event name:
    XVIII IMEKO World Congress
  • Title:

    Metrology for a Sustainable Development

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