Evaluating large models has proven that data quality is essential for a coherent analysis. This can be achieved by using open format specifications with clear defini-tions of terms, concepts and information requirements. The target of this master the-sis is to investigate different methodologies to translate written guidelines into ma-chine readable exchange requirements and to assure data quality for further autom-atized data evaluation. In this work the internal Siemens Real Estate BIM guidelines and principles are analyzed and the exchange requirements for two use cases have been outlined. The extracted requirements have been firstly defined in an Excel ta-ble and mapped to IFC. Next the exchange information has been transferred into the BIMQ platform, where software templates for properties and configuration files for Solibri ruleset SOL/203 are exported for further check of information completeness. To compare different workflows a Model View Definition (MVD) has been configured in mvdXML1.1 format in BIMQ and in mvdXML1.2 format, using IfcDoc. Additionally, templates for other concepts such as Classification, Material Association and Ele-ment Decomposition have been configured for the specific use cases’ demand. Based on a use case model the generated MVDs were validated in FZKViewer.     «

Evaluating large models has proven that data quality is essential for a coherent analysis. This can be achieved by using open format specifications with clear defini-tions of terms, concepts and information requirements. The target of this master the-sis is to investigate different methodologies to translate written guidelines into ma-chine readable exchange requirements and to assure data quality for further autom-atized data evaluation. In this work the internal Siemens Real Estate BIM guideli...     »