电厂磨煤机运行数据集

本数据集主要面向能源电力行业设备状态监测、故障预警与能效优化研究需求建设，基于浙江舟山六横电厂分布式控制系统（DCS）及现场传感器网络产生。数据集系统记录了磨煤机在真实发电负荷下的运行状态，包含机组负荷、给煤量、电机电流、轴承温度、润滑油温、液压压力、一次风参数及出口风粉温度等30余个关键工艺参数，采样间隔5秒，数据量22.3MB。该高分辨率时间序列数据完整再现了磨煤机在特定周期内的运行工况，可为设备健康管理、运行优化算法验证及工业大数据分析提供高质量的基准数据支撑。

This dataset was constructed to fulfill the research requirements of equipment condition monitoring, fault early warning and energy efficiency optimization in the energy and power sector. It is collected from the distributed control system (DCS) and on-site sensor network of Liheng Power Plant in Zhoushan, Zhejiang Province. The dataset systematically records the operating status of the coal mill under actual power generation loads, including more than 30 key process parameters such as unit load, coal feed rate, motor current, bearing temperature, lubricating oil temperature, hydraulic pressure, primary air parameters, and outlet air-powder mixture temperature, with a sampling interval of 5 seconds and a total data volume of 22.3 MB. This high-resolution time-series data fully reproduces the operating conditions of the coal mill over a specific period, providing high-quality benchmark data support for equipment health management, operational optimization algorithm validation and industrial big data analysis.

搜集汇总

背景与挑战

背景概述

该数据集基于浙江舟山六横电厂的分布式控制系统和传感器网络，记录了磨煤机在真实发电负荷下的运行状态，包含30余个关键工艺参数，采样间隔为5秒，数据量22.3MB。作为高分辨率时间序列数据，它完整再现了特定周期内的运行工况，适用于能源电力行业的设备状态监测、故障预警、能效优化及工业大数据分析研究。