Structuring and accessing knowledge for historical and streaming digital twins

Organisations are intensely developing Digital Twins (DTs) to correctly and efficiently answer questions about the history and behaviour of physical systems. However, it is not clear how to construct these DTs starting from the data, information, knowledge, and wisdom available in the organisation. In this work, we present our approach to DT construction which involves a layered knowledge graph (KG) architecture communicating with the organisation’s data repositories. We explain the components and timelines for using the KG to build both historical and streaming DTs, and what kinds of questions can be answered for our drivetrain use case.

Jaar van publicatie:2021

Trefwoorden:P1 Proceeding

Toegankelijkheid:Open