Digital Twin in Industrial Application – Requirements to a Comprehensive Data Model
E XAMPLE S CENARIOS FOR II O T
Gartner 3 defines the minimum requirements
for a digital twin data model as:
A study by the Fraunhofer IPK research insti-
tute, CONTACT Software and VDI (Associa-
tion of German Engineers) analyzed the cen-
tral applications for IIoT. 4 It identified service
optimization, customer process optimization
and product optimization as the three most
important processes, followed by processes
with a much narrower focus, such as com-
plaints management, process analysis and
production optimization (see Figure 2).
data structure and meta-data
a system model of functional ele-
ments and critical measures
extended by subsystems of the asset
(optional)
In the following section, we focus on these
concepts for the formulation of data model
characteristics.
Figure 2: Applications for IIoT (x = % of matches from a cluster analysis of free text answers) (Smart Industrial Products, pg. 111)
3 Gartner Inc.: Innovation Insight for Digital Twins — Driving Better IoT-Fueled Decisions. 22 March 2017.
4 Müller, P.; Lindow, K.; Gregorzik, S.; Stark, R. (eds.): Smart Industrial Products. Berlin/Bremen/Düsseldorf 2019.
The study analyzed data collected from 183 experts representing different branches of industry, such as the automotive sector,
machine engineering and plant construction. 75% of these experts exercised development or product management functions.
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