LBNL FDD SFPU Data Sets

The DOE and Berkeley Lab have partnered across the national laboratory complex and with the research community to curate, validate, and publish the world’s largest set of labeled time-series data representing commercial HVAC systems operating in faulted and fault-free states. The data sets currently cover rooftop units, single-duct air handler units, dual-duct air handler units, variable air volume boxes, fan coil units, chiller plant, and boiler plant. Each data set includes from 20 to more than 100 data points that are commonly monitored in today’s buildings. This operational data is paired with ground truth information indicating which faults are present during which time periods.

美国能源部（Department of Energy，DOE）与劳伦斯伯克利国家实验室（Berkeley Lab）已依托全美国家实验室体系，并联合全球科研社区，共同完成了全球规模最大的带标注时间序列数据集的遴选、验证与发布工作。该数据集涵盖处于故障状态与无故障状态的商用暖通空调（Heating, Ventilation and Air Conditioning，HVAC）系统运行数据，当前覆盖的设备类型包括屋顶式空调机组、单风道空气处理机组、双风道空气处理机组、变风量箱、风机盘管机组、冷水机组系统及锅炉系统。每个数据集包含20至100余个当前楼宇中常规监测的数据测点，且该运行数据同步搭配有基准真值（ground truth）信息，可明确标注各时间段内存在的具体故障类型。

搜集汇总

背景与挑战

背景概述

该数据集是全球最大的商业HVAC系统标记时间序列数据集，包含多种设备类型在故障和无故障状态下的运行数据，每个数据集配有20-100多个监测点和故障时间信息，适用于HVAC故障检测和诊断研究。