NENA 1.0: novel extended nuclear application for the safekeeping of contamination-free environments

  • Authors:

  • Michael Marszalek;Martin Eder;Andreas Tropschug;Alois Knoll;Hagen Höfer

  • Affiliations:

  • Technische Universität München, Department of Informatics, Robotics and Embedded Systems, Garching bei München, Germany;Technische Universität München, Department of Informatics, Robotics and Embedded Systems, Garching bei München, Germany;Technische Universität München, Department of Informatics, Robotics and Embedded Systems, Garching bei München, Germany;Technische Universität München, Department of Informatics, Robotics and Embedded Systems, Garching bei München, Germany;HÖFER & BECHTEL GmbH, Mainhausen, Germany

  • Venue:
  • WSEAS Transactions on Systems and Control
  • Year:
  • 2010

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Abstract

The accomplishment of inspection, safekeeping or cleaning tasks are essential daily routines in industrial facilities. These tasks are associated with time, personal expenses and physically demanding occupations. Various robotic systems have been introduced for the automation of these routines. The inspection and cleaning of severs or an automation of a biotechnology laboratory are successful examples for robotic systems and automation [1]. In this paper, we present a novel system for the autonomous 2D detection of radioactivity and contaminated areas. The importance of autonomous detection of radioactivity will increase in the upcoming years, due to stricter limits for contamination levels, when using radioactive materials in nuclear medicine, research or for nuclear power plants. The use of radioactive substances will also increase for diagnosis and therapy in nuclear medicine. Another area of application is the decommissioning of nuclear installations, concerning work time and personnel expenses savings. The mobile robot is able to scan the whole floor of a building, where radioactive contamination may occur, such as floors in nuclear power plants, hospitals with nuclear medicine departments or laboratories. It marks the contaminated areas in a generated map of the building for further evaluation. The paper discusses the main requirements of a navigation system for 2D detection of radioactivity and is based on [2]. It presents the hardware and software set-up and some real-world experiments with our mobile robot.