[Back]

M. Taheri, A. Mahdavi:
"A general schema für representation of monitored data";
Talk: VSS VIENNA young SCIENTISTS SYMPOSIUM, TU Wien; 2018-06-07 - 2018-06-08; in: "VSS - Venna young scientists symposium", P. Hans, G. Artner, J. Grames, H. Krebs, H. Mansouri Khosravi, T. Rouhi (ed.); Book-of-Abstracts, (2018), ISBN: 978-3-9504017-8-3; 32 - 33.

Quantitative monitored information provides the basis for the assessment of building quality with respect to, for instance, indoor environmental conditions and energy performance. In this regard, monitoring-supported verification is a key requirement for reliable building delivery and commissioning processes. Moreover, systematic monitoring, high-resolution, and high quality data
can improve the state of knowledge in a wide range of domains in building science, including building integrity and building automation. As such, the relevant professional community is well
aware of the importance and benefits of building monitoring. However, currently building monitoring systems appear to operate without a systematic and comprehensive ontology. There
have been many efforts in the past to advance interoperability in building data communication with fairly well developed schemes for the constitutive elements of buildings pertaining, for instance, to building fabric. Nevertheless, there is a lack of explicit schemes for representation of sensory information that can be obtained from buildings. To address this issue, the present contribution describes a recently introduced ontology as a general schema for representation of multiple data streams relevant to the building operation. The contribution argues that this ontology is a robust foundation for further developments with respect to applications in building data acquisition, storage, processing, and analysis.

(no german version)
Quantitative monitored information provides the basis for the assessment of building quality with respect to, for instance, indoor environmental conditions and energy performance. In this regard, monitoring-supported verification is a key requirement for reliable building delivery and commissioning processes. Moreover, systematic monitoring, high-resolution, and high quality data
can improve the state of knowledge in a wide range of domains in building science, including building integrity and building automation. As such, the relevant professional community is well
aware of the importance and benefits of building monitoring. However, currently building monitoring systems appear to operate without a systematic and comprehensive ontology. There
have been many efforts in the past to advance interoperability in building data communication with fairly well developed schemes for the constitutive elements of buildings pertaining, for instance, to building fabric. Nevertheless, there is a lack of explicit schemes for representation of sensory information that can be obtained from buildings. To address this issue, the present contribution describes a recently introduced ontology as a general schema for representation of multiple data streams relevant to the building operation. The contribution argues that this ontology is a robust foundation for further developments with respect to applications in building data acquisition, storage, processing, and analysis.