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.

本研究以一项案例研究为基础，收集了以下数据集，旨在根据用户在共享办公空间中的视觉舒适度偏好，对模块化自适应幕墙进行控制。研究方法分为两个主要阶段：1) 预处理阶段，包括由 Ladybug-tools 计算的按小时模拟数据集，以视觉舒适度为目标（任务照度、垂直眼照度和视野比率），2) 后处理阶段，将模拟数据集作为模糊逻辑应用的输入，该应用允许个性化模块化幕墙。附注：Excel 文件名称：M(x)P(x) - 其中 M 代表“模块”，P 代表“位置”。局限性：该数据集是为了特定自适应幕墙设计以及占用者的位置和视线方向而收集的，可能不适用于其他案例研究。