Refine
Has Fulltext
- yes (12) (remove)
Document Type
- Conference Proceeding (12) (remove)
Institute
- Professur Informatik im Bauwesen (12) (remove)
Keywords
- Modellierung (4)
- Bauplanung (3)
- Geotechnik (3)
- Ingenieurbau (3)
- Planungsprozess (3)
- Verteiltes System (3)
- Brandschutz (2)
- CAD (2)
- Dreidimensionales Modell (2)
- Mehragentensystem (2)
- Prozessmodell (2)
- Baugrund (1)
- Bauphysik (1)
- Boden-Bauwerk-Wechselwirkung (1)
- Energiemanagement (1)
- Finite-Elemente-Methode (1)
- Gebäude (1)
- Informatik (1)
- Informationsmanagement (1)
- Mathematisches Modell (1)
- Netzwerk (1)
- Normung (1)
- Petri-Netz (1)
- Rechnernetz (1)
- Softwaresystem (1)
- Vernetztes System (1)
- Verteiltes Softwaresystem (1)
- Zeitabhängigkeit (1)
The paper presents the abstraction of process relevant information in order to enable the workflow management based on semantic data. It is shown for three examples, how the standards define the information needed to perform a certain planning activity. Abstraction of process relevant information is discussed for different granularities of the underlying processmodel. As one possible application ProMiSE is introduced, which uses process relevant data in individual tokens in a petri-net based process-model.
The contribution introduces a method for the distributed process modelling in order to support the process orientation in Structural Engineering, i.e., the modelling, analysis and management of planning processes. The approach is based on the Petri Net theory for the modelling of planning processes and workflows in Structural Engineering. Firstly, a central and coarse process model serves as a pre-structuring system for the detailed modelling of the technical planning activities. Secondly, the involved planning participants generate distributed process models with detailed technical workflow information. Finally, these distributed process models will be combined in the central workflow net. The final net is of great importance for the process orientation in Structural Engineering, i.e., the identification, publication, analysis, optimization and finally the management of planning processes.