Abstract
In this study, a series of data collection and analysis in two different types of spaces are carried out by UWB indoor positioning system. The obtained data are divided into two different types——full-sample data and multi-sample data, and the two types of experimental methods and analysis methods are compared to provide theoretical support for the refinement, quantitative research and design optimization of different types of architectural interior space. The research shows that the UWB indoor positioning system has good applicability in different indoor scenes within a certain area, and different types of indoor space can be analyzed from the overall scale to the detail scale. This study has certain significance in using indoor behavior data to analyze different types of internal behaviors in space, and it is a systematic attempt to apply behavior analysis technology to indoor optimization strategies.
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