华盛顿大学化工行业工业控制系统传感器警报数据集

本数据集为华盛顿大学构建的化工模拟场景中捕获的传感器数据，场景中共包含5个化工子系统、52个传感器，数据采集时以分钟为单位数据集采样间隔为3分钟，其中训练集采样480次，测试集采样960次，共捕获了72数小时的传感器工作数值。数据集为第三方的开源数据，来源为国际知名研究机构，课题使用中同步检查了数据集的合理性。This dataset comprises sensor data captured in a chemical engineering simulation scenario developed by the University of Washington. The scenario includes 5 chemical engineering subsystems and 52 sensors, with a sampling interval of 3 minutes during data collection. The training set contains 480 samples and the test set has 960 samples, totaling 72 hours of captured sensor operational data. This is a third-party open-source dataset sourced from an internationally renowned research institution, and its rationality was verified synchronously during the research project's utilization.

搜集汇总

背景与挑战

背景概述

该数据集由华盛顿大学构建，采集自化工模拟场景，包含5个子系统和52个传感器的警报数据，以3分钟为间隔进行采样，训练集和测试集分别采样480次和960次，总计覆盖72小时。作为开源数据，它来源于国际知名研究机构，适用于化工生产过程传感器模拟仿真研究。