MetamEnTh: An Object-Oriented Metamodel for IoT Systems in Buildings. Yefi, P., Menon, R. P., Eicker, U., & Gu�h�neuc, Y. Internet of Things Journal (IoTJ), 11(15):25818–25838, IEEE CS Press, August, 2024. 21 pages.
Paper abstract bibtex Buildings consist of systems that have to interact and coordinate with various systems to function smoothly. It is essential to have models and representations of buildings in forms that are easy to read for effective simulation, control, and optimization of building systems. It is also necessary for integrating and creating novel applications and functions. A building energy management system (BEMS) is a common feature of most commercial buildings. It contains models of some aspects of the building and its systems. However, these models in the BEMSs do not entirely model all systems and subsystems and their relationships because their primary function is to control heating, ventilation, air-conditioning (HVAC), and lighting. Project Haystack and Brick have made significant progress in modeling buildings for operational purposes by adopting a metadata approach. They offer machine and human-readable representations of buildings, systems, and their relationships. However, tags and tagsets in the metadata approach have some limitations that stem from a weak structure in defining entities, their properties, and relationships. In this study, we identify seven problems with the metadata approach to modeling buildings and address these problems with an object-oriented metamodel: Metamodel for energy things (MetamEnTh). Using an object-oriented modeling technique to establish structure and constraints, MetamEnTh produces a model that portrays a building and its systems. MetamEnTh adheres to the same naming convention of entities as other projects, such as Project Haystack and Brick. We accomplish a UML representation of the core structure of MetamEnTh and validate the representation through three different case studies.
@ARTICLE{Yefi24-IoTJ-MetamEnTh,
AUTHOR = {Peter Yefi and Ramanunni Parakkal Menon and
Ursula Eicker and Yann-Ga�l Gu�h�neuc},
JOURNAL = {Internet of Things Journal (IoTJ)},
TITLE = {MetamEnTh: An Object-Oriented Metamodel for IoT Systems
in Buildings},
YEAR = {2024},
MONTH = {August},
NOTE = {21 pages.},
NUMBER = {15},
PAGES = {25818--25838},
VOLUME = {11},
EDITOR = {Nei Kato},
KEYWORDS = {Topic: <b>ESE for the IoT</b>, Venue: <b>IoTJ</b>},
PUBLISHER = {IEEE CS Press},
URL = {http://www.ptidej.net/publications/documents/IoTJ24a.doc.pdf},
ABSTRACT = {Buildings consist of systems that have to interact and
coordinate with various systems to function smoothly. It is essential
to have models and representations of buildings in forms that are
easy to read for effective simulation, control, and optimization of
building systems. It is also necessary for integrating and creating
novel applications and functions. A building energy management system
(BEMS) is a common feature of most commercial buildings. It contains
models of some aspects of the building and its systems. However,
these models in the BEMSs do not entirely model all systems and
subsystems and their relationships because their primary function is
to control heating, ventilation, air-conditioning (HVAC), and
lighting. Project Haystack and Brick have made significant progress
in modeling buildings for operational purposes by adopting a metadata
approach. They offer machine and human-readable representations of
buildings, systems, and their relationships. However, tags and
tagsets in the metadata approach have some limitations that stem from
a weak structure in defining entities, their properties, and
relationships. In this study, we identify seven problems with the
metadata approach to modeling buildings and address these problems
with an object-oriented metamodel: Metamodel for energy things
(MetamEnTh). Using an object-oriented modeling technique to establish
structure and constraints, MetamEnTh produces a model that portrays a
building and its systems. MetamEnTh adheres to the same naming
convention of entities as other projects, such as Project Haystack
and Brick. We accomplish a UML representation of the core structure
of MetamEnTh and validate the representation through three different
case studies.}
}
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It is essential \r\n to have models and representations of buildings in forms that are \r\n easy to read for effective simulation, control, and optimization of \r\n building systems. It is also necessary for integrating and creating \r\n novel applications and functions. A building energy management system \r\n (BEMS) is a common feature of most commercial buildings. It contains \r\n models of some aspects of the building and its systems. However, \r\n these models in the BEMSs do not entirely model all systems and \r\n subsystems and their relationships because their primary function is \r\n to control heating, ventilation, air-conditioning (HVAC), and \r\n lighting. Project Haystack and Brick have made significant progress \r\n in modeling buildings for operational purposes by adopting a metadata \r\n approach. They offer machine and human-readable representations of \r\n buildings, systems, and their relationships. 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