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DIGITAL TWINS AND ONTOLOGY FOR ROBOT ASSISTED DECOMMISSIONING OPERATIONS DORADO

Project description

AI-based robot assisted decommissioning applications

Nuclear decommissioning is a complex task that requires safe and cost-effective measures to minimise hazards. In this context, the EU-funded DORADO project aims to enhance safety and efficiency in nuclear decommissioning by applying digital technologies such as AI and Building Information Models (BIM), along with a specialised decommissioning ontology. The project will develop a digital platform using a data-driven approach, integrating digital tools for various decommissioning applications, including in situ waste characterisation, robotics, cost estimation, and risk identification. It aims to minimise radiation exposure, increase efficiency, and reduce decommissioning costs. The project will focus on key technologies, including point-cloud 3D models, change detection, digital twin-based ALARA dose estimation and robot mission optimisation.

Objective

The overall aim of the DORADO project is to improve safety and efficiency in nuclear decommissioning by applying digital technologies such as Artificial Intelligence (AI) and Building Information Models (BIM) with a dedicated decommissioning ontology. In DORADO, a holistic digital platform based on a data-driven approach will be created, integrating digital tools into a coherent suite customized for decommissioning applications. Once completed, the platform can be utilized especially for in situ waste characterization, planning segregation and packing remotely, robotics and remote handling systems, sampling and clearance of surfaces and structures, cost estimation, risk identification and knowledge management, including on-site voice assistance to the fieldworkers.

DORADO will focus on eight technologies that will be developed and integrated to be used with a common data server combining the data flow into a BIM model. These include, e.g. point-cloud 3D models and change detection, digital twins based ALARA dose estimation, robot mission optimization and smart voice assistant interface. After the development phase, all the results will be demonstrated with data sets collected from real nuclear facilities. An end-user group is involved throughout the project, to ensure matching a market need.

Main impacts are achieved by minimizing radiation exposure and risk of occupational incidents to workers and increasing the efficiency of decommissioning planning by enabling remote operations and planning. This can result in significant cost reduction and optimized waste management strategies as well as increase the public confidence towards nuclear energy. Benchmarking digital tools with demonstrations from nuclear facilities also assists the regulators to understand the technical potential and to update regulations to cover all the changes in the operating environment.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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EURATOM-IA - EURATOM Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EURATOM-2023-NRT-01

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Coordinator

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 441 845,50
Address
TEKNIIKANTIE 21
02150 Espoo
Finland

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Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 441 845,50

Participants (9)

Partners (1)

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