Visual representation of connectivity information for efficient system understanding

Romero, David; Graven, Tone-Grete

doi:10.1177/1541931213571450

Cited by 5 publications

(3 citation statements)

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“…This is roughly divided into four phases: (1) user studies, (2) concept development, and (3) prototype implementation, and (4) evaluation; considering the end user during the entire process. The first stage involved site visits, interviews and analysis of several user groups, and has been previously covered in [13]. This work represents phases 2 and 3 and the final goal is to have a prototype as a modular application that can combine data from all the sources of data where topology can be found (Figure 1-left) and present it to different user groups (Figure 1-right).…”

Section: A User-centered Design (Ucd) Approachmentioning

confidence: 99%

“…The hypothesis is that by merging structural models from different sources with operational-and process-related data into a single interface, engineers can be supported in typical activities such as fault management and root-cause analysis. The use of ethnographic research [13] and effective visualisation techniques are expected to have a positive impact in the design process.…”

Section: Paper Contributionmentioning

confidence: 99%

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Towards the development of a tool for visualising plantwide dependencies

Romero

Graven

Thornhill

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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Engineers, control room operators and maintenance personnel in chemical processes are frequently challenged by the number of interdependencies in large-scale facilities. Being able to be aware of such dependencies is often an important goal when troubleshooting. In this paper, a tool is introduced which can be used to capture, integrate and visualise process connectivity. This tool extracts data from disparate sources used by several discipline experts and provides a detailed overview of the connectivity paths and causality between different units. The prototypes are shown here in this WiP paper.

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Section: A User-centered Design (Ucd) Approachmentioning

confidence: 99%

Section: Paper Contributionmentioning

confidence: 99%

Towards the development of a tool for visualising plantwide dependencies

Romero

Graven

Thornhill

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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“…However, this method relies on no standard and practical aspects of its implementations have not been adequately researched. The possibility of expanding structural models coming from the P&ID and adding data to from other types of schematics, electrical diagrams, work orders, alarm lists and maintenance calendars has been explored in [10], [11]. …”

mentioning

confidence: 99%

Integration, navigation and exploration of plant topology networks using the property-graph model

Romero

Thornhill

2014

2014 IEEE/SICE International Symposium on System Integration

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Abstract-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 from different sources by using structural and process data. A few works, however, have focused on how to integrate, store, and visualise connectivity models, which are becoming available in the literature. This paper proposes a method for integration, navigation and exploration of topology models in an efficient way, which can be applied to the study of connectivity and causality in chemical processes. I. INTRODUCTIONDisturbances in continuous processes commonly travel along the product stream through different propagation paths affecting the process performance. Abnormalities that propagate plantwide include oscillations caused by sticking valves, disturbances produced by interacting controllers, instabilities in the systems such as slugging flows, and vibrations caused by interacting units (for example in a turbine-generator train).Since large-scale chemical facilities are highly integrated systems containing recycle flows and utility systems, units are not independent anymore. Connectivity and causality have been concepts proposed for describing dependencies between units and variables [1]. Several authors have been applying new methods that make it possible to extract process topology describing causality relationships from process knowledge and process data. The knowledge from process topology has many applications, for instance in the field of plantwide analysis, where the use of process connectivity can enhance the isolation and diagnosis of the root-cause of plantwide disturbances [2], [3]. There is also evidence of use of topology in other areas such as alarm rationalization [4], risk assessment [5] and control structure design [6]. It seems now that mining the data and knowledge about topology (connectivity and causality) is a largely solved problem. What becomes challenging now is to integrate all these insights into a single topology model and make it possible for engineers to use it for exploration, navigation and more effective visualisation.This work is supported Marie Curie FP7 project ENERGY-SMARTOPS, Contract No: PITN-GA-2010-264940.David Dorantes Romero is with ABB Technology and Innovation, Norway, Ole Deviks vei 10, david.romero@no.abb.com. He is also part-time PhD student at the Department of Chemical Engineering at Imperial College.Nina F. Thornhill is with the Centre for Process Systems engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K.The main contribution of this paper is the proposal of a method to integrate process connectivity and causality information into a plant topology network, making use of interaction and techniques to facilitate its navigation and exploration. Examples will also be given based on a novel prototype called Topoviz™, currently under development. II. STATE OF THE ARTInformation about the topology can be captured from modelbased m...

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Thing to Service: Perspectives from a Network of Things

Chinoy

2017

Advances in Neuroergonomics and Cognitive Engineering

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Visual representation of connectivity information for efficient system understanding

Cited by 5 publications

References 15 publications

Towards the development of a tool for visualising plantwide dependencies

Towards the development of a tool for visualising plantwide dependencies

Integration, navigation and exploration of plant topology networks using the property-graph model

Thing to Service: Perspectives from a Network of Things

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