设备实时状态数据集

该数据为工业设备实时运行状态的时序化标注信息集合，涵盖数控机床、压缩机、泵体、电机等 15 + 类核心生产设备。通过多类型传感器按时间序列采集设备运行参数，同步记录工作模式（自动 / 手动）、负载率（0-100%），并依据预设阈值标注 “正常 / 异常” 状态（如温度＞120℃→异常、振动频率＞800Hz→异常）。可用于训练设备状态监测模型、构建预测性维护系统，实现设备异常提前预警、故障根源定位，为工业生产连续性、设备使用寿命延长及生产安全保障提供核心数据支撑。

This dataset is a collection of temporally annotated information on the real-time operating status of industrial equipment, covering more than 15 types of core production equipment such as CNC machine tools, compressors, pumps, and electric motors. It collects equipment operating parameters via multi-type sensors in a time-series manner, synchronously records the working mode (automatic/manual) and load rate (0-100%), and annotates the "normal/abnormal" status based on preset thresholds (e.g., temperature > 120°C → abnormal, vibration frequency > 800Hz → abnormal). It can be used to train equipment condition monitoring models and build predictive maintenance systems, enabling early warning of equipment abnormalities and fault root cause localization, providing core data support for ensuring industrial production continuity, extending equipment service life, and guaranteeing production safety.

搜集汇总

背景与挑战

背景概述

该数据集是工业设备实时运行状态的时序化标注集合，涵盖15+类核心生产设备，通过传感器采集参数并标注正常/异常状态，用于设备监控和预测性维护。数据以Excel格式存储，支持训练状态监测模型，提升工业生产连续性和安全保障。