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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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SunScreen: Visual Fault Detection for Solar-Thermal Systems.

Lukas Feierl, Torsten Moller, Peter Luidolt

    IEEE Computer Graphics and Applications
    |August 28, 2023
    PubMed
    Summary

    This study presents SunScreen, a visual framework for analyzing solar-thermal plant sensor data to detect faults. While appreciated for its annotation features, user feedback indicates room for usability improvements.

    Area of Science:

    • Engineering
    • Computer Science
    • Renewable Energy

    Background:

    • Effective fault detection is crucial for the reliable operation of solar-thermal power plants.
    • Current monitoring relies on personnel analyzing complex multivariate, time-dependent sensor data.
    • Existing visualization tools often fail to fully support user workflows or handle complex data types.

    Purpose of the Study:

    • To introduce SunScreen, a novel visual framework designed for exploring sensor data, anomalies, and system events in solar-thermal plants.
    • To address the limitations of existing tools in managing multivariate and time-dependent data.
    • To enhance the workflow of monitoring personnel through intuitive data exploration and annotation.

    Main Methods:

    • Development of the SunScreen visual framework.

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  • Integration of functionalities for exploring sensor data, automatically detected anomalies, and system events (faults, services).
  • User-centered evaluation including feedback collection and System Usability Scale (SUS) assessment.

    • Main Results:

    • SunScreen enables users to explore multivariate, time-dependent sensor data and associated events.
    • The annotation functionality of SunScreen was particularly well-received by users.
    • While users appreciated the tool, SUS scores suggest that not all usability requirements were fully met.

    Conclusions:

    • SunScreen offers a valuable approach to visualizing and exploring complex data for fault detection in solar-thermal plants.
    • The framework's annotation feature enhances user interaction and data analysis.
    • Further development is needed to optimize the system's usability and fully meet user workflow requirements.