LBNL FDD Data Sets Chiller Plant

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）携手国家实验室体系内的各机构及全球研究社区，共同完成了全球规模最大的带标注时序数据集的整理、验证与发布工作。该数据集收录了处于故障与无故障运行状态下的商用暖通空调（Heating, Ventilation and Air Conditioning, HVAC）系统运行数据。当前数据集覆盖的设备类型包括屋顶式空调机组、单风管空气处理机组、双风管空气处理机组、变风量箱、风机盘管机组、冷水机组系统以及锅炉机组系统。每个数据集均包含20至100余个当前楼宇中普遍监测的数据点，且配套有真值标注（ground truth）信息，可明确指示对应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

该数据集是美国能源部和伯克利实验室合作发布的冷水机组故障检测与诊断数据集，提供商业HVAC系统在故障和无故障状态下的标记时间序列数据，包含20到100多个常见监测数据点，并配有故障时间段的真实标签，适用于数据驱动算法和HVAC控制活动研究。