As part of the LongOps project, it is required to develop de-risking virtual tools such as a digital-twin systems linked to a real system interacting directly with the real world. In order to maintain an accurate, up-to-date digital twin, it is necessary to sense the real environment in real-time using a variety of sensors of different types, to compile an accurate combined model of the environment virtually, and to present this information to the operator in the most effective manner. Due to the effects of radiation and other inherent qualities of sensing devices, the data retrieved is expected to be inexact. Characteristics such as noise, reliability, confidence interval, linearity, etc., may affect the estimation of the digital-twin state. UKAEA wishes to procure innovative solutions for the development of novel, cutting-edge sensor data integration and perception techniques to support the de-risking of operations using digital twins.
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