Title
Determination of the health of a barrier with time-series data how a safety barrier looks different from a data perspective
Author
Singh, P.
Sunderland, N.
van Gulijk, C.
Publication year
2022
Abstract
Determination of the health of a safety barrier study was performed at the Syngenta Huddersfield Manufacturing Centre, Leeds Road, West Yorkshire, United Kingdom. This work focused on the creation of a BowTie that is augmented with data to monitor the core functions of safety barriers for a loss of control situation on a batch reactor. The performance was determined with industry softwares: Seeq was used to extracted time-series AVEVA Factory Historian was the data warehouse that stored all IoT data from the factory for many years. The data was cleansed and additional tags were required using the analytical software along with the creation of signal conditions and composite conditions to aid in the analysis. This work demonstrates that a barrier looks very different if data is the starting point. Theoretical views of barriers using the detect-decide-act obfuscate a complex data network of IoT parts that all play a role in barrier performance. Another observation is that this particular approach makes it possible to further assess barrier performance and health online. © 2022. The data that has been used is confidential.
Subject
Batch reactors
Data warehouses
Internet of things
Time series
Barrier performance
Bow tie
Core functions
Loss of control
Manufacturing centers
Safety barriers
Syngenta
Time-series data
United kingdom
Yorkshires
Health
To reference this document use:
http://resolver.tudelft.nl/uuid:cc318f10-b169-4566-95ac-dc6a187ff402
DOI
https://doi.org/10.1016/j.jlp.2022.104889
TNO identifier
977309
ISSN
0950-4230
Source
Journal of Loss Prevention in the Process Industries, 80 (80)
Document type
article