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Publications in Scientific Journals:

M. Schuss, S. Glawischnig, A. Mahdavi:
"Building Monitoring and Diagnostics: A Web-Based Approach";
Applied Mechanics and Materials, 861 (2017), 556 - 563.



English abstract:
Efforts toward optimized building management and operation require monitoring data
from multiple sources. Experiences from previous research projects underline the need for an easily
adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for
modeling and performance evaluation. The increasing availability of small and powerful
development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a
cost-efficient infrastructure for data collection and building monitoring. For the purpose of the
present contribution, the Arduino Yún was used to create a data logger that obtains data from
wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have
developed a web-based user interface that enables the user to evaluate various aspects of the
monitored building's performance. The communication between the software components is
implemented via RESTful interfaces and enables the user to integrate also other data sources such
as web services. The paper includes an actual implementation of the above approach. Thereby, we
illustrate how the constitutive system components can be integrated in terms of a versatile
monitoring system with multiple utilities in terms of building performance assessment and building
diagnostics.

German abstract:
(no english version) Efforts toward optimized building management and operation require monitoring data
from multiple sources. Experiences from previous research projects underline the need for an easily
adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for
modeling and performance evaluation. The increasing availability of small and powerful
development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a
cost-efficient infrastructure for data collection and building monitoring. For the purpose of the
present contribution, the Arduino Yún was used to create a data logger that obtains data from
wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have
developed a web-based user interface that enables the user to evaluate various aspects of the
monitored building's performance. The communication between the software components is
implemented via RESTful interfaces and enables the user to integrate also other data sources such
as web services. The paper includes an actual implementation of the above approach. Thereby, we
illustrate how the constitutive system components can be integrated in terms of a versatile
monitoring system with multiple utilities in terms of building performance assessment and building
diagnostics.

Keywords:
Building Monitoring, Building Performance, Building Diagnostic, Data Analysis, Embedded Systems.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.4028/www.scientific.net/AMM.861.556


Created from the Publication Database of the Vienna University of Technology.