Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II

Research Article

Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services

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  • @INPROCEEDINGS{10.1007/978-3-319-47075-7_50,
        author={Sofie Van Hoecke and Cynric Huys and Olivier Janssens and Ruben Verborgh and Rik Walle},
        title={Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services},
        proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II},
        proceedings_a={IOT360},
        year={2017},
        month={6},
        keywords={Web s Semantic annotation Monitoring environments Dynamic composition and visualization Dashboards},
        doi={10.1007/978-3-319-47075-7_50}
    }
    
  • Sofie Van Hoecke
    Cynric Huys
    Olivier Janssens
    Ruben Verborgh
    Rik Walle
    Year: 2017
    Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services
    IOT360
    Springer
    DOI: 10.1007/978-3-319-47075-7_50
Sofie Van Hoecke1,*, Cynric Huys1, Olivier Janssens1, Ruben Verborgh1, Rik Walle1
  • 1: Ghent University-iMinds
*Contact email: sofie.vanhoecke@ugent.be

Abstract

In order to present and communicate the condition of monitored environments to supervising experts, a dashboard is needed to present the status of all sensors. The heterogeneity and vast amount of sensors, as well as the difficulty of creating interesting sensor data combinations, hinder the deployment of fixed structure dashboards as they are unable to cope with the accordingly vast amount of required mappings. Therefore, in this paper, the development of a dynamic dashboard is presented, able to visualize any particular and user defined data and sensor composition. By implementing the heterogeneous sensors as semantically annotated Web s, a dynamic sensor composition and visualization is enabled. The resulting condition monitoring dashboard provides a clear overview of the system s in acceptable timing and provides helpful tools to detect anomalies in system behaviour.