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Article

Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation

1
Institute of Applied Computer Science, Lodz University of Technology, Stefanowskiego 18/22 str, 90-924 Łódź, Poland
2
Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego 18/22 str, 90-924 Łódź, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(17), 4793; https://doi.org/10.3390/s20174793
Received: 7 July 2020 / Revised: 20 August 2020 / Accepted: 20 August 2020 / Published: 25 August 2020
(This article belongs to the Special Issue Tomography Sensing Technologies)
This paper presents a novel approach to a complex process of electrical capacitance tomography (ECT) measurement data analysis. ECT is frequently employed for non-invasive monitoring of industrial process phenomena. Proposed methodology is based on the premeditated integration of the spatial and temporal relations inherent in the measurement records into the workflow of the analysis procedure. We propose a concept of interactive timeline that enables arranging data visualization according to the user’s current focus along the process of analysis. We evaluated the proposed method using a prototype system in a task-based user study conducted with a group of domain experts. The evaluation is based on gravitational silo flow measurement datasets. Proposed prototype system enables diverse data manipulation in a more natural way allowing the user to switch back and forth between space and time domains along the data analysis trail. Experiments with the prototype system showed that the accuracy and completion times have significantly improved in comparison to the performance measured in the baseline condition. Additionally, the participants reported decreased physical load with improved efficiency measured with NASA task load index. Finally, a short discussion coupled with directions for the future of interactive spatio-temporal ECT measurement data analysis conclude the paper. View Full-Text
Keywords: data analysis; visualization; flow investigation tool; ECT; spatio-temporal data interpretation data analysis; visualization; flow investigation tool; ECT; spatio-temporal data interpretation
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MDPI and ACS Style

Romanowski, A.; Chaniecki, Z.; Koralczyk, A.; Woźniak, M.; Nowak, A.; Kucharski, P.; Jaworski, T.; Malaya, M.; Rózga, P.; Grudzień, K. Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation. Sensors 2020, 20, 4793. https://doi.org/10.3390/s20174793

AMA Style

Romanowski A, Chaniecki Z, Koralczyk A, Woźniak M, Nowak A, Kucharski P, Jaworski T, Malaya M, Rózga P, Grudzień K. Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation. Sensors. 2020; 20(17):4793. https://doi.org/10.3390/s20174793

Chicago/Turabian Style

Romanowski, Andrzej, Zbigniew Chaniecki, Aleksandra Koralczyk, Mikołaj Woźniak, Adam Nowak, Przemysław Kucharski, Tomasz Jaworski, Maja Malaya, Paweł Rózga, and Krzysztof Grudzień. 2020. "Interactive Timeline Approach for Contextual Spatio-Temporal ECT Data Investigation" Sensors 20, no. 17: 4793. https://doi.org/10.3390/s20174793

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