001047461 001__ 1047461
001047461 005__ 20251107095936.0
001047461 0247_ $$2doi$$a10.5281/ZENODO.17274021
001047461 037__ $$aFZJ-2025-04323
001047461 041__ $$aEnglish
001047461 1001_ $$0P:(DE-Juel1)203214$$aKreutle, Manuel$$b0
001047461 1112_ $$aUSRSE'25 Conference$$cPhiladelpha, PA$$d2025-10-06 - 2025-10-08$$gUSRSE'25$$wUSA
001047461 245__ $$aSteps Towards a Digital Twin for Safeguards in Nuclear Waste Management
001047461 260__ $$c2025
001047461 3367_ $$033$$2EndNote$$aConference Paper
001047461 3367_ $$2BibTeX$$aINPROCEEDINGS
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001047461 520__ $$aMember states of the Treaty on the Non-Proliferation of Nuclear Weapons that are not listed as nuclear weapons states are subject to international safeguards in order to ensure that no nuclear material is diverted or facilities are misused with the aim of building nuclear weapons. With that objective, the International Atomic Energy Agency (IAEA) and other safeguards authorities use technical measures such as seals, closed-circuit television (CCTV) cameras, radiation detectors or laser scanners in civil nuclear facilities. During the process of nuclear waste management, safeguards are applied in interim storage facilities and deep geological repositories to spent nuclear fuel, other nuclear waste forms, as well as casks and containers containing this material. These monitoring systems over the past have grown in complexity, produce large amounts of data and become more and more interconnected and automated. At the same time, digital twin concepts increasingly gain popularity in industry contexts while enabling technologies, e.g. high-performance computing and machine learning, become more easily available. This poster explores the topic of digital twins for safeguards in nuclear waste management by presenting models and software modules. At the core of our approach lies a monitoring system model implemented via a PostgreSQL database that incorporates data traces obtained from inspection data and facility operators’ declarations. To support interaction with the model, we provide a Python API that enables manipulation and tracking of the model state over time from an operator and an inspectorate perspective. Also presented here are the project’s continuous integration of tests, the automated deployment of its documentation, and its graphical user interface (GUI) which is implemented via a plotly-powered dash app. Beyond modeling, data storage and visualization, the presented software is capable of simulating different physical aspects such as neutron and gamma radiation as well as light detection and ranging (LiDAR) and it offers the possibility to generate synthetic data for compliance and diversion scenarios. The use of this synthetic data for the training of machine learning algorithms for experimental design optimization and anomaly detection is discussed. Finally, the poster will provide an outline of the envisioned scaling of this prototype software into a larger digital twin framework capable of processing and analyzing real measurement data can be alongside the synthetic data. The presented work aims at supporting and facilitating remote monitoring, the development of new safeguards techniques, as well as education and training, while aspiring to incorporate good practices of research software engineering.
001047461 536__ $$0G:(DE-HGF)POF4-1411$$a1411 - Nuclear Waste Disposal (POF4-141)$$cPOF4-141$$fPOF IV$$x0
001047461 536__ $$0G:(BMWi)02W6279$$aNeu- und Weiterentwicklung von Konzepten, Methoden und Techniken für die internationale Kernmaterialüberwachung, insbesondere im Rahmen der nuklearen Entsorgung (SAFEGUARDS-3) (02W6279)$$c02W6279$$x1
001047461 588__ $$aDataset connected to DataCite
001047461 650_7 $$2Other$$aNuclear waste management
001047461 650_7 $$2Other$$aDigital twins
001047461 650_7 $$2Other$$aNuclear safeguards
001047461 7001_ $$0P:(DE-Juel1)140251$$aNiemeyer, Irmgard$$b1
001047461 7001_ $$0P:(DE-Juel1)130315$$aAymanns, Katharina$$b2
001047461 773__ $$a10.5281/ZENODO.17274021
001047461 8564_ $$uhttps://doi.org/10.5281/zenodo.17274021
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001047461 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)203214$$aForschungszentrum Jülich$$b0$$kFZJ
001047461 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)140251$$aForschungszentrum Jülich$$b1$$kFZJ
001047461 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)130315$$aForschungszentrum Jülich$$b2$$kFZJ
001047461 9131_ $$0G:(DE-HGF)POF4-141$$1G:(DE-HGF)POF4-140$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1411$$aDE-HGF$$bForschungsbereich Energie$$lNukleare Entsorgung, Sicherheit und Strahlenforschung (NUSAFE II)$$vNukleare Entsorgung$$x0
001047461 920__ $$lno
001047461 980__ $$aposter
001047461 980__ $$aI:(DE-Juel1)IFN-2-20101013
001047461 980__ $$aI:(DE-Juel1)ZB-20090406
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