基于时空聚类熵的立体空间共享性测度方法、设备及介质
By distinguishing between passage and dwelling behaviors in three-dimensional space and using entropy values for calculation, a two-dimensional scoring system of time and space is constructed, which solves the problem of measuring the shareability of three-dimensional space and realizes accurate assessment and optimization support for the shareability of three-dimensional space.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2026-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to accurately measure the shareability of three-dimensional spatial units, especially in areas with high-intensity development, and cannot fully reflect the uniformity of behavioral distribution and shared use of multi-level spaces on the ground, above ground, and underground.
By acquiring multi-layered crowd activity data in a three-dimensional space, distinguishing between passage and dwelling behaviors, and employing cluster analysis and entropy calculation, a shared score system with temporal and spatial dimensions is constructed, including temporal structural entropy and spatial structural entropy, to generate a comprehensive shared score for three-dimensional space.
It achieves accurate capture and time-segmented quantification of multi-layered behavioral characteristics in three-dimensional space, provides a scientific assessment of the shareability measurement of three-dimensional space, and supports spatial optimization decision-making.
Smart Images
Figure CN122196606B_ABST