[Zurück]

A. Mahdavi, S. Glawischnig, M. Schuss, F. Tahmasebi, A. Heiderer:
"Structured building monitoring; Ontologies and platform";
Vortrag: ECPPM 2016 eWork and eBusiness in Architecture, Engineering and Construction, Limassol, Cyprus; 07.09.2016 - 09.09.2016; in: "Proceedings of the 11th European Conference on Product and Process Modelling", S.E. Christodoulou, R.J. Scherer (Hrg.); Balkema, (2016), ISBN: 9781138032804; S. 651 - 658.

[no german abstract available] Building data monitoring can provide performance feedback for operational optimisation of
existing facilities and improve future designs. It can support energy and performance contracting, smart load
balancing, model-predictive building systems control, and preventive building maintenance. However, a
closer look at the current practice suggest that the commonly deployed technical infrastructures are not
mature enough and their hardware resilience and software interoperability are in need of improvement. To
address these issues, we first introduce in this paper an ontology for the representation and incorporation of
multiple layers of data in pertinent computational applications such as building performance simulation tools
and building automation systems. We then address common data processing requirements and exemplify a
number of typical queries that building monitoring data repositories must support. Finally, we describe a
specific technical platform for the structured collection, storage, processing, and multi-user exchange of
monitored data.

Building data monitoring can provide performance feedback for operational optimisation of
existing facilities and improve future designs. It can support energy and performance contracting, smart load
balancing, model-predictive building systems control, and preventive building maintenance. However, a
closer look at the current practice suggest that the commonly deployed technical infrastructures are not
mature enough and their hardware resilience and software interoperability are in need of improvement. To
address these issues, we first introduce in this paper an ontology for the representation and incorporation of
multiple layers of data in pertinent computational applications such as building performance simulation tools
and building automation systems. We then address common data processing requirements and exemplify a
number of typical queries that building monitoring data repositories must support. Finally, we describe a
specific technical platform for the structured collection, storage, processing, and multi-user exchange of
monitored data.

http://publik.tuwien.ac.at/files/PubDat_251066.pdf