A Platform for Automated Technical Building Management Services Using Ontology

  • The deployment of technical building management services is a requirement to further reduce energy demand of future and existing buildings. Automating the process of configuring and deploying technical building management services such as fault detection and diagnosis of technical Equipment seems to be a promising path to intensify the adoption of these services. In this work we present a data processing and analytics execution platform which allows the deployment of ontology-based, automated technical building Management services on a large-scale. We present the platform architecture and results from a reference implementation performing rule-based fault detection on offline air handling unit data.

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Author:Georg Schneider, Yashar Kalantari, Georgios KontesORCiD, Gunnar Grün, Simone Steiger
URL / DOI:http://10.24928/JC3-2017/0279
Parent Title (English):Lean and Computing in Construction Congress (LC3) 2017: Volume I – Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Crete, Greece
Publisher:Heriot-Watt University
Place of publication:Edinburgh, UK
Document Type:conference proceeding (article)
Release Date:2017/09/25
Tag:Fault Detection and Diagnosis; Ontology; Service-Oriented Architecture SOA; Technical Building Management
GND Keyword:Gebäudeleittechnik; Energieeffizienz
1. H2020-EeB-2015: Modelling Optimization of Energy Efficiency
in Buildings for Urban Sustainability (MOEEBIUS, #680517)
Licence (German):Creative Commons - Namensnennung-Keine kommerzielle Nutzung-Weitergabe unter gleichen Bedingungen