Digital Twin Development for Serial Manipulators: Data Driven Optimized Planning and Sequencing of Tasks
number of Industry 4.0 applications on the
shop floor of MF @ ARTC. As the workflow of
gearbox production running in MF @ ARTC is
designed and models the assets with AAS,
the data from equipment sensors and
actuators could be collected systematically
and converted as monitoring, signaling or
controlling prerequisites of a digital twin
application. The distributed data from
physical
sensors
throughout
the
manufacturing process enable the digital
twin
to
attain
operational
and
environmental data on the shop floor. Those
data are aggregated and advanced to
integrate with the data acquired from the
enterprise systems, such as ERP, MES and
PLM via an IoT platform.
algorithmic simulations and visualization
procedures to deliver the gearbox
production insights. In MF @ ARTC, the
Virtual Manufacturing Lab (VML) testbed is
designed to perform the operation
monitoring, diagnostics, control and
improvement processes with the simulated,
optimized or analyzed solutions inside. After
verifying the planned or optimized solution
in the virtual workspace, the final decision
will be made inside or through the
Manufacturing Intelligence Control Room
(MICR) if the solution will be preceded or
revised again with the business data and
perspectives. If the proposed solution is
approved, the digital twin will integrate with
the respective machine controllers and
actuators to execute the physical process in
the real world. This is the overall practice of
the MMC concept in MF @ ARTC shop floor,
as shown in Figure 5.
After communicating and integrating the
data between the physical and digital
worlds, the data are analyzed with analytic
techniques
and
processed
through
Figure 5: The overall workflow of the MMC concept in MF @ ARTC
IIC Journal of Innovation
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