基于PJ-graph和FCM的住宅空间认知方法——以北京为例

Cognitive Approach to Dwelling Space based on PJ-graph and FCM——Case Study of Beijing

家庭居住空间中的家具空间布局具备反映居住家庭文化与生活方式的潜力。同时,物联网智能家居空间的设计发展对现有基于物质实体的室内空间认知方法与逻辑提出新挑战,家庭文化的独特性与生活方式的个性化在未来家庭居住空间设计中扮演重要角色。通过建立微观空间尺度的家具空间关系模型,并从中发展对居住室内空间形态的整体性认知能够为未来室内空间设计提供思路。首先,研究基于空间句法J-graph拓扑空间描述方式提出了Point-based Justfied Graph,以描述凸空间(Convex Space)中家具与电器形成的日常生活空间的解读视角。第二,研究基于家具的拓扑系数对其进行聚类分析并得出的非传统的空间组织方式。

The culture and lifestyle of a family could be reflected through the spatial arrangement of furniture and household appliances. However, the existing understanding about dwelling interior space based on physical form is challenged by the development of IOT smart home and its design strategy. The uniqueness of family culture and individuality of lifestyle plays a critical role in future interior design. The paper suggests a furniture and spatial relation model built up from micro spatial scale, and develops a holistic cognition about interior space, so as to provide solution for future interior design. Firstly, the research puts forward Point-based Justified Graph based on J-graph topological space, and interprets from the perspective of daily life space formed in the furniture and household appliances in Convex Space. Secondly, furniture are clustered based on their topological value, and non-traditional space organization is obtained.