A Comprehensive Indoor Environment Dataset from Single-family Houses in the US

本数据集名为‘A Comprehensive Indoor Environment Dataset from Single-family Houses in the US’，由弗吉尼亚理工大学的研究团队创建。数据集包含从美国弗吉尼亚州三个独栋住宅中收集的室内环境数据，涵盖温度、湿度、空气质量和噪音水平等多种环境因素。数据通过10个传感器设备收集，每分钟记录一次，总计超过250万条记录。创建过程中，研究人员使用了Building Data Lite系统，确保数据的准确性和可靠性。该数据集主要用于建筑能耗模型、居住者行为分析、预测性维护等领域的研究，旨在优化建筑性能和居住者舒适度。

This dataset is named *A Comprehensive Indoor Environment Dataset from Single-family Houses in the US*, which was developed by a research team at Virginia Tech. It contains indoor environmental data collected from three single-family residences in Virginia, USA, covering a wide range of environmental metrics such as temperature, humidity, air quality, and noise levels. The data was acquired using 10 sensor devices, with one recording taken every minute, totaling over 2.5 million records. During the dataset's development, researchers utilized the Building Data Lite system to ensure the accuracy and reliability of the dataset. This dataset is primarily intended for research in fields including building energy modeling, occupant behavior analysis, and predictive maintenance, with the goal of optimizing building performance and occupant comfort.