• DocumentCode
    3772876
  • Title

    Novel real-time 3D radiological mapping solution for ALARA maximization, D&D assessments and radiological management

  • Author

    Felix Hautot;Philippe Dubart;Roger Abou-Khalil;Massimo Morichi

  • Author_Institution
    AREVA Group, D&S, Gif-sur-Yvette, 91196 France
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Good management of decontamination and dismantling (D&D) operations or maintenance activities in contaminated or irradiating zones requires perfect radiological knowledge of the radioactive environment in order to optimize personnel dose and minimize of waste volume; this knowledge itself must be acquired safely and securely in a time-saving way. Additionally, Fukushima accident has imposed a stretch to the nuclear measurement operational approach required in such emergency situation: fast deployment and intervention, quick analysis and fast scenario definition. AREVA, as return of experience from its activities carried out at Fukushima and D&D sites, has developed a novel multi-sensor solution as part of its D&D research, approach and method, a system with real-time 3D photorealistic spatial radiation distribution cartography of contaminated premises. The system may be handheld or mounted on a mobile device (robot, drone, e.g.). In this paper, we will present our current development based on a SLAM technology (Simultaneous Localization And Mapping) and integrated sensors and detectors allowing simultaneous topographic and radiological (dose rate and/or spectroscopy) data acquisitions. This enabling technology permits 3D gamma sources cartography in a reconstructed volume in real-time.
  • Keywords
    "Three-dimensional displays","Pollution measurement","Real-time systems","Simultaneous localization and mapping","Visualization"
  • Publisher
    ieee
  • Conference_Titel
    Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ANIMMA.2015.7465648
  • Filename
    7465648