Abstract:
In today's swiftly emerging Industry 4.0 environment,
sensors/devices, machines and components
have digital twins which are connected together enabling them to talk to
each other. Factory operators can thus continuously capture machine states/condition and
combine it with information from other systems, analyze it and predict the optimal
point in time at which to initiate maintenance.
This approach for maintenance generally called Condition-based Predictive Maintenance (CBPdM)
can pinpoint imminent outages well before they occur, significantly enriching business performance
by avoiding lengthy production outages.
CBPdM is among the major focus points of the Industry 4.0 and IIoT.
Interoperability of the asset management systems is crucial in achieving
accurate diagnosis and prognosis as it can highly augment the data received
from assets. The foundation of an interoperability architecture are standards.
Unfortunately, even after wider adoption of CBPdM in industry, to the best of our knowledge
there does not exist any reference architecture for it. This paper contributes
by introducing Open Industrial Interoperability Ecosystem (OIIE) architecture
which is an outgrowth of several related industry standardization activities for
achieving standards-based interoperability. We illustrate
how the architecture addresses the requirements of Industry 4.0 and
CBPdM with the help of a detailed use case.