Abstract
Assurance of functional safety of safety instrumented systems includes monitoring of reliability performance
throughout the operational phase. Currently, collecting and analyzing failure data and re-calculating reliability
performance are manual and work-intensive tasks. The main objective of this paper is to present a new information
model that structures equipment and failure data so that the analysis can be more automated. In addition, some
practical challenges in implementing the model with OPC UA, an Industry 4.0 technology platform, and underlying
source systems. The work presented has been part of the research-based innovation project ”Automated process for
follow-up of safety instrumented systems,” involving several industry partners. The paper gives a novel contribution
to the Industry 4.0 strategy, and the results can be transferable to other sectors.
throughout the operational phase. Currently, collecting and analyzing failure data and re-calculating reliability
performance are manual and work-intensive tasks. The main objective of this paper is to present a new information
model that structures equipment and failure data so that the analysis can be more automated. In addition, some
practical challenges in implementing the model with OPC UA, an Industry 4.0 technology platform, and underlying
source systems. The work presented has been part of the research-based innovation project ”Automated process for
follow-up of safety instrumented systems,” involving several industry partners. The paper gives a novel contribution
to the Industry 4.0 strategy, and the results can be transferable to other sectors.
