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Flexible filtering of heterogeneous data using the example of the design and simulation of building integrated photovoltaics

Eisenlohr, Johannes ; Eller, Christian ; Rüppel, Uwe ; Leifgen, Christian ; Boudhaim, Marouane ; Sprenger, Wendelin ; Kuhn, Tilmann E.
Hrsg.: Both, Petra von ; Wagner, Andrea (2018)
Flexible filtering of heterogeneous data using the example of the design and simulation of building integrated photovoltaics.
BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz. Karlsruhe, Germany (26.-28. September 2018)
doi: 10.5445/ir/1000085743
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example. According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Herausgeber: Both, Petra von ; Wagner, Andrea
Autor(en): Eisenlohr, Johannes ; Eller, Christian ; Rüppel, Uwe ; Leifgen, Christian ; Boudhaim, Marouane ; Sprenger, Wendelin ; Kuhn, Tilmann E.
Art des Eintrags: Bibliographie
Titel: Flexible filtering of heterogeneous data using the example of the design and simulation of building integrated photovoltaics
Sprache: Englisch
Publikationsjahr: 28 September 2018
Reihe: 7
Band einer Reihe: Tagungsband
Veranstaltungstitel: BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz
Veranstaltungsort: Karlsruhe, Germany
Veranstaltungsdatum: 26.-28. September 2018
DOI: 10.5445/ir/1000085743
URL / URN: https://publikationen.bibliothek.kit.edu/1000085743
Kurzbeschreibung (Abstract):

According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example. According to the Building Information Modeling (BIM) methodology, all participants must be provided with the information relevant to their tasks in the required level of detail at the appropriate time. In the future, the amount of detailed digital information will further increase. Therefore, we propose rule-based filtering beyond the purely class-based extraction of subsets of the overall model. The source of digital information can be a central data model, from digital product data of component manufacturers or generally from the worldwide web. After the rule-based filtering, automatic parsing into the target language takes place. As an application example, we demonstrate this methodology for the simulation of buildingintegrated photovoltaics as an example.

Freie Schlagworte: filtering, simulation
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen
Hinterlegungsdatum: 19 Mär 2019 16:10
Letzte Änderung: 28 Feb 2022 12:11
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