LBNL FDD Dataset SDAHU

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（Lawrence Berkeley National Laboratory, Berkeley Lab）联合国家实验室体系及科研共同体，共同整理、验证并发布了全球规模最大的带标注时序数据集，该数据集涵盖处于故障与无故障运行状态的商用暖通空调（Heating, Ventilation and Air Conditioning, HVAC）系统数据。当前该数据集覆盖屋顶式空调机组、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、冷水机组系统以及锅炉机组系统。每个数据集包含20至100余个当前楼宇常规监测的数据测点，且该运行数据配套有基准真值（ground truth）信息，用于标明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

该数据集是由美国能源部与伯克利实验室合作发布的LBNL FDD系列中的单风道空气处理机组（SDAHU）数据集，发布于2023年3月28日。它是世界上最大的标记时间序列数据集之一，专注于商业HVAC系统在故障和无故障状态下的运行数据，包含20到100多个常见监测数据点，并与故障时间段的真实信息配对，主要用于支持故障检测与诊断和数据驱动算法的研究。