ENHANCING NUCLEAR DECOMMISSIONING THROUGH INTEGRATED SENSOR DATA, ADVANCED VISUALISATION AND ASSET MANAGEMENT: LONGOPS, WHAT IS NEXT?

Abstract

Deploying robotic platforms for characterisation into environments that are not well understood e.g., Fukushima Daiichi, presents numerous complexities and challenges, particularly regarding sensor integration and data capture. The deployment of these technologies necessitates reliance on a variety of sensors to gather information about the surrounding environment, presenting a unique set of challenges in terms of sensor network architecture, data collection, processing, and interpretation. Further, after every survey or inspection deployment, the data gathered must be easy to access, visualise, compare and query to serve as a single source of truth during the decommissioning planning. The objective of this paper is twofold: first, to present the outcome of the LongOps project in terms of integrating live sensor data from multiple sources into a cohesive digital mock-up. Second, to present the follow-up work related to the centralisation, contextualisation and visualisation of data captured after every deployment to enhance the efficiency of decommissioning planning and its safety.