Adapting Semantic Sensor Networks for Smart Building Diagnosis
The Internet of Things is one of the next big changes in which devices, objects, and sensors are getting linked to the semantic web. However, the increasing availability of generated data leads to new integration problems. In this paper we present an architecture and approach that illustrates how semantic sensor networks, semantic web technologies, and reasoning can help in real-world applications to automatically derive complex models for analytics tasks such as prediction and diagnostics. We demonstrate our approach for buildings and their numerous connected sensors and show how our semantic framework allows us to detect and diagnose abnormal building behavior. This can lead to not only an increase of occupant well-being but also to a reduction of energy use. Given that buildings consume 40% of the world’s energy use we therefore also make a contribution towards global sustainability. The experimental evaluation shows the benefits of our approach for buildings at IBM’s Technology Campus in Dublin.
Unable to display preview. Download preview PDF.
- 3.Han, J., Jeong, Y.K., Lee, I.: Efficient building energy management system based on ontology, inference rules, and simulation. In: Int. Conf. on Int. Building and Mgmt., pp. 295–299 (2011)Google Scholar
- 5.International Energy Agency: World energy outlook 2012 (2012)Google Scholar
- 6.Ploennigs, J., Hensel, B., Dibowski, H., Kabitzsch, K.: BASont - a modular, adaptive building automation system ontology. In: IEEE IECON, pp. 4827–4833 (2012)Google Scholar
- 12.Brady, N., Lecue, F., Schumann, A., Verscheure, O.: Configuring Building Energy Management Systems Using Knowledge Encoded in Building Management System Points Lists. US20140163750 A1 (2012)Google Scholar
- 14.Ploennigs, J., Chen, B., Schumann, A., Brady, N.: Exploiting generalized additive models for diagnosing abnormal energy use in buildings. In: BuildSys - 5th ACM Workshop on Embedded Systems for Energy-Efficient Buildings, pp. 1–8 (2013)Google Scholar
- 15.Janowicz, K., Compton, M.: The stimulus-sensor-observation ontology design pattern and its integration into the semantic sensor network ontology. In: Int. Workshop on Semantic Sensor Networks, pp. 7–11 (2010)Google Scholar
- 16.Ploennigs, J., Schumann, A., Lecue, F.: Extending semantic sensor networks for automatically tackling smart building problems. In: ECAI - PAIS (2014)Google Scholar