liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Towards intelligent alarm management in the Age of IIoT
ABB CRC.
2017 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In recent years, IIoT continues to gain tractionintroducing promising opportunities to build powerful systemsand applications with new benefits to industry. However, as theindustrial systems become more complex, the number of alarmcalls in plants has exploded to a very large number. Having toomany alarms to handle hinders operators from taking the rightdecisions at the right time which potentially can lead to safety,reliability, privacy, and security issues. The work presentedin this paper is aimed at improving the safety of industrialoperations by better managing alarms and also increasing thereliability of the industrial operation by ensuring the processesare reliable. A main outcome of the project is a set of alarmdata mining algorithms and a high-fidelity prototype of a userinterface for reviewing and analyzing the mined alarm data.

sted, utgiver, år, opplag, sider
2017.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-165578OAI: oai:DiVA.org:liu-165578DiVA, id: diva2:1428826
Konferanse
Global Internet of Things Summit
Tilgjengelig fra: 2020-05-06 Laget: 2020-05-06 Sist oppdatert: 2021-09-16
Inngår i avhandling
1. Designing visualization and interaction for industrial control rooms of the future
Åpne denne publikasjonen i ny fane eller vindu >>Designing visualization and interaction for industrial control rooms of the future
2020 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

During the last decades, the industry has been undergoing extensive digitization leading to complex ensembles of humans, machines, autonomous agents, and sensors. With this new setup comes the challenge of how to appropriately support work-practices of industrial operators who now need to monitor and control complex industrial processes through remote interfaces. Information overflow and restrictive interfaces are two significant problems that operators face in their daily routines. In this PhD, I explore approaches to visualization and interaction that would reduce industrial operators' information load and enable them to perform their duties in an efficient, reliable, and safe manner. Industrial users and industrial settings are the starting points of my research.

In this thesis, I describe multiple examples of custom-tailored data visualizations that reduce the operator's visual load by consolidating large amounts of data into compact overview displays with often nontrivial data presentation. With respect to interaction, I propose several tangible and tactile interfaces, as well as concepts for natural interaction, that let the user freely interact with the control station and the information it depicts. Finally, I propose several concepts of adaptive systems that adjust to the operator's context to ensure their high situational awareness and convenience of interaction.

Even though this thesis is primarily intended for the community of interaction designers, I expect it to be of interest to a broader audience due to its relation to the user experience field. To a certain extent, everyone can resonate with the user's problems because, in our everyday life, we all are users of some technology and services. Furthermore, for a lay reader, this work can be seen as a comprehensive introduction to how the industry works and what role the human plays there.

Abstract [sv]

Under de senaste årtiondena har industrin digitaliserats i stor utsträckning och består nu av komplexa strukturer där människor, maskiner, autonoma agenter och sensorer samspelar. Människor arbetar ofta som operatörer i industrin, med uppgift att övervaka och styra maskinella processer på distans från kontrollrum. Den omfattande digitaliseringen medför nya utmaningar för operatörerna i och med att mängden tillgänglig information växer samtidigt som kontrollrummens användargränssnitt är otillräckliga för de ändrade förutsättningarna. I den här avhandlingen utforskar jag nya former av visualisering och interaktion som skulle kunna hjälpa operatörerna hantera de växande informationsmängderna och sköta sitt arbete på ett effektivt, tillförlitligt och säkert sätt.

Jag presenterar flera exempel på skräddarsydda datavisualiseringar som minskar belastningen på operatörerna genom att kombinera stora mängder data i kompakta, icke-triviala presentationsformer. När det gäller interaktion föreslår jag flera fysiska och taktila interaktionsformer som kan göra operatörernas arbete mera fritt och självstyrt. Jag presenterar slutligen koncept för adaptiva system som anpassar sig till operatörernas arbetssituation för att skapa smidig interaktion och stödja hög situationsmedvetenhet.

Avhandlingen vänder sig i första hand till interaktionsdesignområdet, men jag räknar med att den kan vara av intresse för en bredare publik i och med att den behandlar användarupplevelse. Vi använder alla tekniska produkter och tjänster i någon utsträckning och bör därför kunna relatera till industrioperatörernas utmaningar. Mitt arbete ger också en inblick i hur människans arbetssituation ser ut i dagens industri.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2020. s. 150
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2077
Emneord
Industrial control room, Industrial operator, Human-computer interaction
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-165625 (URN)10.3384/diss.diva-165625 (DOI)9789179298357 (ISBN)
Disputas
2020-08-21, Online through Zoom (contact gun-britt.lofgren@liu.se) or K3, Kåkenhus, Campus Norrköping, Norrköping, 09:30 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2020-05-15 Laget: 2020-05-10 Sist oppdatert: 2023-04-03bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 221 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf