SGH Home Comfort

Dataset gathered during the Smart Green Homes (SGH) project. The project aimed to develop integrated product and technology solutions for households, raising standards of comfort, safety, and user satisfaction to a new level and, at the same time, respond to the problems of sustainability of the planet, increasing energy efficiency and reducing the emission of gaseous pollutants and the consumption of water. One of the explored scenarios collected environmental data from volunteers' homes and the level of comfort as perceived by the volunteers. The resulting dataset was used during the project but contains more useful information than what was possible to explore at the time. We now share with the community a dataset that can be used for heating appliance optimization, presence detection, and environmental prediction (temperature relative humidity, and atmospheric pressure).本数据集采集自智能绿色住宅（Smart Green Homes, SGH）项目。该项目旨在为家庭开发集成化产品与技术解决方案，将居住舒适度、居家安全性与用户满意度提升至全新层级；同时致力于应对地球可持续发展相关难题，提升能源利用效率，减少气态污染物排放与水资源消耗。项目所探索的其中一项场景为采集志愿者住宅内的环境数据，以及志愿者所感知的居住舒适程度。该数据集最初仅用于项目内部研究，但其蕴含的有效信息远超项目当时所能挖掘的范畴。如今我们向社区公开此数据集，其可应用于供暖设备优化、人体存在检测以及环境预测（涵盖温度、相对湿度与大气压力）。