LBNL FDD PFPU Data Sets
收藏DataCite Commons2025-06-01 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/LBNL_FDD_PFPU_Data_Sets/22344280/1
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资源简介:
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)与伯克利实验室(Berkeley Lab)依托全美国家实验室体系,并联合科研社区,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)系统的运行数据。当前该数据集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。每套数据集包含20至100余个当前楼宇中常规监测的数据测点。该运行数据配套有真实标签(ground truth)信息,可明确各时间段内存在的故障类型。
提供机构:
figshare
创建时间:
2023-03-27
搜集汇总
数据集介绍

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,涵盖多种设备类型和监测数据点,用于故障检测与诊断研究。数据包含故障和无故障状态下的运行数据,并配有真实故障时间信息。
以上内容由遇见数据集搜集并总结生成



