Dataset of IoT-Based Energy and Environmental Parameters in a Smart Building Infrastructure

This dataset includes detailed measurements from IoT sensors deployed throughout the M5 building, capturing energy consumption from various devices like coffee machines, microwaves, etc., as well as environmental data such as temperature, humidity, and occupancy in key areas like the Interdisciplinary lab, kitchen, and mailroom.

This release aims to provide researchers and practitioners with comprehensive data to facilitate research on energy efficiency and environmental monitoring within smart building infrastructures. The data are structured to support various types of analysis, from operational efficiency assessments to environmental impact studies.

For detailed information on the dataset's structure and usage, please refer to the README.md file included in this repository.

本数据集包含部署于M5大楼全境的物联网传感器（IoT sensors）所采集的精细测量数据，涵盖咖啡机、微波炉等各类设备的能耗信息，同时收录跨学科实验室、厨房及收发室等核心区域的温度、湿度与人员占用等环境监测数据。

本次数据集发布旨在为研究人员与行业从业者提供全面的数据支撑，以推动智能建筑基础设施内的能源效率与环境监测相关研究。该数据集的结构设计可支持多类分析任务，涵盖运行效率评估至环境影响研究等多个方向。

如需了解该数据集的结构与使用细节，请参阅本仓库中附带的README.md文件。