Modular adaptive façade personalization in a shared office

As a case study, the following dataset is collected to control a modular adaptive facade based on the users' visual comfort preferences in a shared office space. The methodology includes two main stages: 1) pre-processing stage which consists of the hourly simulation dataset calculated by Ladybug-tools for visual comfort objectives (task illuminance, vertical eye illuminance, and view ratio), and 2) post-processing stage which takes the simulation dataset as inputs for the fuzzy logic application that allows personalizing the modular facade. P.S. Excel file names: M(x)P(x) - M stands for "Module", P stands for "Position" Limitation: The dataset is collected for a certain adaptive facade design and occupants' positions and view directions which could not be applicable to other case studies.作为一项案例研究，本研究采集了下述数据集，用于基于共享办公空间内使用者的视觉舒适度（visual comfort）偏好，对模块化自适应立面（modular adaptive facade）进行调控。 本次研究的方法包含两个主要阶段：1）预处理阶段：由Ladybug-tools计算得到逐时仿真数据集，用于获取视觉舒适度相关指标，包括作业照度（task illuminance）、垂直眼点照度（vertical eye illuminance）及视野占比（view ratio）；2）后处理阶段：以该仿真数据集作为输入，应用模糊逻辑方法实现模块化自适应立面的个性化定制。 附注： Excel文件名格式为M(x)P(x)，其中M代表模块（Module），P代表位置（Position）。 局限性： 本数据集仅针对特定的自适应立面设计、使用者位置及视野方向采集，无法适用于其他案例研究。