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Ontology-based modeling of control logic in building automation systems

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Abstract
The control logic implemented in building automation systems (BAS) has a significant impact on the overall energy demand of the building. However, information on the control logic, if documented, is often concealed from further data integration and reuse in heterogeneous information silos using disparate data formats. In particular, existing data formats and information models offer limited support to describe control logic explicitly. Ontology-based modeling of the control logic of BAS can potentially result in a versatile source of information for information-driven processes to further increase the performance of technical equipment in a building. Therefore, we present a novel information model, CTRLont, which allows to formally specify the domain of control logic in BAS. We demonstrate the usefulness of the novel information model by using it as a knowledge base for automating rule-based verification of designed control logic in BAS. We successfully apply the methodology to a simple control of an air handling unit and indicate a number of future steps.
Keywords
Building automation system (BAS), control, ontology, schedule, state graph, state machine, ENERGY MANAGEMENT, PERFORMANCE, INDUSTRY, DESIGN

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MLA
Schneider, Georg Ferdinand, et al. “Ontology-Based Modeling of Control Logic in Building Automation Systems.” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 13, no. 6, 2017, pp. 3350–60, doi:10.1109/tii.2017.2743221.
APA
Schneider, G. F., Pauwels, P., & Steiger, S. (2017). Ontology-based modeling of control logic in building automation systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 13(6), 3350–3360. https://doi.org/10.1109/tii.2017.2743221
Chicago author-date
Schneider, Georg Ferdinand, Pieter Pauwels, and Simone Steiger. 2017. “Ontology-Based Modeling of Control Logic in Building Automation Systems.” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 13 (6): 3350–60. https://doi.org/10.1109/tii.2017.2743221.
Chicago author-date (all authors)
Schneider, Georg Ferdinand, Pieter Pauwels, and Simone Steiger. 2017. “Ontology-Based Modeling of Control Logic in Building Automation Systems.” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 13 (6): 3350–3360. doi:10.1109/tii.2017.2743221.
Vancouver
1.
Schneider GF, Pauwels P, Steiger S. Ontology-based modeling of control logic in building automation systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. 2017;13(6):3350–60.
IEEE
[1]
G. F. Schneider, P. Pauwels, and S. Steiger, “Ontology-based modeling of control logic in building automation systems,” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 13, no. 6, pp. 3350–3360, 2017.
@article{8541972,
  abstract     = {{The control logic implemented in building automation systems (BAS) has a significant impact on the overall energy demand of the building. However, information on the control logic, if documented, is often concealed from further data integration and reuse in heterogeneous information silos using disparate data formats. In particular, existing data formats and information models offer limited support to describe control logic explicitly. Ontology-based modeling of the control logic of BAS can potentially result in a versatile source of information for information-driven processes to further increase the performance of technical equipment in a building. Therefore, we present a novel information model, CTRLont, which allows to formally specify the domain of control logic in BAS. We demonstrate the usefulness of the novel information model by using it as a knowledge base for automating rule-based verification of designed control logic in BAS. We successfully apply the methodology to a simple control of an air handling unit and indicate a number of future steps.}},
  author       = {{Schneider, Georg Ferdinand and Pauwels, Pieter and Steiger, Simone}},
  issn         = {{1551-3203}},
  journal      = {{IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS}},
  keywords     = {{Building automation system (BAS),control,ontology,schedule,state graph,state machine,ENERGY MANAGEMENT,PERFORMANCE,INDUSTRY,DESIGN}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{3350--3360}},
  title        = {{Ontology-based modeling of control logic in building automation systems}},
  url          = {{http://doi.org/10.1109/tii.2017.2743221}},
  volume       = {{13}},
  year         = {{2017}},
}

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