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 apis, a dynamic sensor composition and visualization is enabled. The resulting condition monitoring dashboard provides a clear overview of the system kpis in acceptable timing and provides helpful tools to detect anomalies in system behaviour.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Van Hoecke, S., Verborgh, R., Van Deursen, D., Van de Walle, R.: SAMuS: service-oriented architecture for multisensor surveillance in smart homes. Sci. World J. 2014, 9 p. (2014). Article ID 150696, doi:10.1155/2014/150696
Gitanjali, J., Kuriakose, M., Kuruba, R.: Ontology and hyper graph based dashboards in data warehousing systems. Asian J. Inf. Technol. 13(8), 412–415 (2014)
Duong, T.A.H., Thanh, B.N., Tjoa, A.M.: Dashboard by-example: a hypergraph-based approach to on-demand data warehousing systems. In: Proceedings of International Conference on Systems, Man, and Cybernetics (2012)
Leida, M., Du, X., Taylor, P., Majeed, B.: Toward automatic generation of SPARQL result set visualizations: a use case in service monitoring. In: Proceedings of the International Conference on e-Business (ICE-B), July 2011
Parsia, B., Sirin, E.: Pellet: an OWL DL reasoner. In: Third International Semantic Web Conference-Poster, vol. 18 (2004)
Mazumdar, S., Varga, A., Lanfranchi, V., Petrelli, D., Ciravegna, F.: A knowledge dashboard for manufacturing industries. In: GarcÃa-Castro, R., Fensel, D., Antoniou, G. (eds.) ESWC 2011. LNCS, vol. 7117, pp. 112–124. Springer, Heidelberg (2012)
Berners-Lee, T.: Web Design Issues; What the Semantic Web can Represent. http://www.w3.org/DesignIssues/RDFnot.html
Lanthaler, M., Gütl, C.: On using JSON-LD to create evolvable restful services. In: Proceedings of the Third International Workshop on RESTful Design, pp. 25–32 (2012)
Acknowledgement
This work was partly funded by the IWT VIS O&M Excellence project, and performed in the framework of Offshore Wind Infrastructure Application Lab.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Van Hoecke, S., Huys, C., Janssens, O., Verborgh, R., Van de Walle, R. (2016). Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-319-47075-7_50
Download citation
DOI: https://doi.org/10.1007/978-3-319-47075-7_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47074-0
Online ISBN: 978-3-319-47075-7
eBook Packages: Computer ScienceComputer Science (R0)