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
Link To Document :
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