Leveraging the Potentials of Data Sharing
define the requirements of the digital twins to enable and satisfy the aforementioned services . Each service serves as the starting point for an assessment of the information requirements . Central for the case at hand were the digital twin of the SkyTrain as well as digital twins of the platforms , each defined by a series of parameters needed to satisfy the information requirements of the services described in the layer above . Figure 4-3 shows a simplified version of the digital twin layer .
Figure 4-3 : Digital Twin Layer .
But digital twins rely on data , often coming from different data sources and assets . To emphasize this distinction the method separates the digital twin and the data layer . Blocks defined in the digital twin layer are to be understood as “ consumption ready ” pieces of information , intended to be consumed by one or more services . Blocks on the data layer represent specific data points or data sets usually coming from various data sources , that need to be transformed and combined with other data points to eventually serve their purpose . See an extract of the testbeds data layer in Figure 4-4 .
Figure
4-4 : Data Layer .
The final step in assessing the required information is to identify the relevant data sources and assets . The primary objective when identifying relevant assets is to ascertain which sources are capable of providing the necessary data . At this juncture , it becomes evident that data sharing is a necessity , given that the disparate data sources are owned by different POs . The subsequent task is to devise suitable arrangements and conditions for the exchange of data to feed the defined digital twins and realize the intended services . Figure 4-5 shows an excerpt of assets with relevance to the example use case .
Journal of Innovation 61