A Cognitive Vision System for Nuclear Fusion Device Monitoring - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

A Cognitive Vision System for Nuclear Fusion Device Monitoring

Résumé

We propose a cognitive vision-based system for the intelligent monitoring of tokamaks during plasma operation, based on multi-sensor data analysis and symbolic reasoning. The practical purpose is to detect and characterize in real time abnormal events such as hot spots measured through infrared images of the in-vessel components in order to take adequate decisions. Our system is made intelligent by the use of a priori knowledge of both contextual and perceptual information for ontology-driven event modeling and task-oriented event recognition. The system is made original by combining both physics-based and perceptual information during the recognition process. Real time reasoning is achieved thanks to task-level software optimizations. The framework is generic and can be easily adapted to different fusion device environments. This paper presents the developed system and its achievements on real data of the Tore Supra tokamak imaging system.
Fichier principal
Vignette du fichier
icvs11_v3.pdf (706.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00609876 , version 1 (20-07-2011)

Identifiants

  • HAL Id : hal-00609876 , version 1

Citer

Vincent Martin, Victor Moncada, Jean-Marcel Travere, Thierry Loarer, François Bremond, et al.. A Cognitive Vision System for Nuclear Fusion Device Monitoring. 8th International Conference, ICVS 2011, Sep 2011, Sophia Antipolis, France. pp.163-172. ⟨hal-00609876⟩
680 Consultations
336 Téléchargements

Partager

Gmail Facebook X LinkedIn More