Abstract
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.
Highlights
Industrial process tomography systems belong to a special class of non-invasive and non-intrusive sensing systems
We developed a study protocol and task-based study scenario aimed at evaluating the Hypothesis 1 (H1) and Hypothesis 2 (H2) empirically through the set of quantitative and qualitative methods
The first quantitative results gathered for the experimental study were the time of completion (TCT)
Summary
Industrial process tomography systems belong to a special class of non-invasive and non-intrusive sensing systems. There have been reports on the use of electrical tomography systems for control purposes of various industrial processes, since they provide a reliable stream of quality measurement data [4,5,6]. Electrical capacitance tomography (ECT) has proven to be fast and efficient, for processes that occur in closed environments [3,7,8]. Current development of ECT systems is focused on increasing the accuracy and sensitivity of measurement units [9] as well as efficiency and precision of algorithms for image reconstruction and data processing [10,11,12], which are the crucial elements for deep analysis and advanced process control [13,14,15,16,17]. Prior to incorporating ECT into the process control systems, it is necessary to develop a data processing algorithm dedicated to a particular
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