In this section
@inproceedings{Romero:2014:10.1109/SII.2014.7028131,
author = {Romero, DD and Thornhill, NF},
doi = {10.1109/SII.2014.7028131},
pages = {743--748},
publisher = {IEEE},
title = {Integration, navigation and exploration of plant topology networks using the property-graph model},
url = {http://dx.doi.org/10.1109/SII.2014.7028131},
year = {2014}
}
TY - CPAPER
AB - Understanding the process topology is essential for many process-systems engineering activities. Previous works in this area have explored the extraction of connectivity and causality knowledge (plant topology) from different sources of engineering data by following qualitative and quantitative methods. A few works, however, have focused on how to integrate, store, and visualize models that can represent the interactions among the different items in a chemical plant. This paper proposes a method for integration, navigation and exploration of topology based on property-graphs, which can support the study of disturbance propagation in chemical plants.
AU - Romero,DD
AU - Thornhill,NF
DO - 10.1109/SII.2014.7028131
EP - 748
PB - IEEE
PY - 2014///
SP - 743
TI - Integration, navigation and exploration of plant topology networks using the property-graph model
UR - http://dx.doi.org/10.1109/SII.2014.7028131
UR - http://hdl.handle.net/10044/1/25952
ER -
Nina Thornhill, ABB/RAEng Professor of Process Automation
Centre for Process Systems Engineering
Department of Chemical Engineering
Imperial College London
South Kensington Campus, London SW7 2AZ
Tel: +44 (0)20 7594 6622
Email: n.thornhill@imperial.ac.uk