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 (26.09.2018-28.09.2018)
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: | 26.09.2018-28.09.2018 |
| 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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