Abstract: Indoor map model construction is a basic research, which can provide data and technical support for indoor intelligent applications such as indoor navigation, emergency evacuation, and robot services. Traditional indoor information extraction methods are time-consuming and costly, and the extracted indoor information is usually incomplete. In the existing indoor map research, the model usually has a large volume, the data is complex and the redundancy is serious, and the application rate is low. With the development of BIM technology and the advancement of national policies, this study provides new ideas for indoor map model research. The paper combines BIM technology with indoor map model research, using BIM universal interactive format (industry foundation classes) IFC file as data source to extract geometric and semantic information and puts forward a new construction method of indoor map model. By defining three types of nodes in the model, the abstract expression of the internal information of the building monolayer is completed. Using the idea of node normalization, set the threshold to simplify the number of nodes in the indoor topology network and achieve the purpose of optimizing the indoor map model. In the indoor map model, the shortest path can be generated by the classic path finding algorithm, and the design algorithm will realize the path optimization.

Key words:  industry foundation classes (IFC), indoor map, node selection, path optimization