Published 2020 | Version v1
Miscellaneous

TORONE: Total Characterisation by Remote Observation of Nuclear Environments - 20591

  • 1. Department of Electrical and Electronic Engineering, The University of Manchester (United Kingdom)
  • 2. Department of Engineering, Lancaster University (United Kingdom)
  • 3. Department of Chemical Engineering and Analytical Science, The University of Manchester (United Kingdom)
  • 4. National Nuclear Laboratory (United Kingdom)

Description

This paper describes the autonomous robotic systems developed in the TORONE project (Total Characterisation by Remote Observation of Nuclear Environments) for combined characterisation by remote techniques in nuclear environments. There are four main components to the system. Firstly, robot operation which uses a Robot Operating System (ROS) allowing ease of communication between hardware and software alongside robot vision systems such as Lidar and/or photogrammetry. Secondly, radiation detection instrumentation for gamma and neutron sources which is also collimated for spatial resolution. Thirdly, photonic characterisation instrumentation for remote material identification by means of Raman spectroscopy and Laser induced breakdown spectroscopy (LIBS). Finally, a data management system is described which contains the TORONE characterisation data with the ability to overlay material characterisation information onto 3D maps of the nuclear environment. Preliminary results are described alongside discussion of some of the synergies of the combined approach. There are many applications of such an autonomous system in nuclear decommissioning, waste management and asset management. (authors)

Availability note (English)

Available from: WM Symposia, Inc., PO Box 27646, 85285-7646 Tempe, AZ (US)

Additional details

Publishing Information

Imprint Pagination
15 p.
Report number
INIS-US--21-WM-20591

Conference

Title
46. Annual Waste Management Conference
Acronym
WM2020
Dates
8-12 Mar 2020
Place
Phoenix, AZ (United States)

Optional Information

Notes
14 refs.; available online at: https://www.xcdsystem.com/wmsym/2020/index.html