数控机床运转效率分析数据集

数据基于MES系统自动采集，涵盖运转时长、实际/计划生产时间、生产效率、OEE（整体设备效率）、主轴利用率、能耗及单位能耗等核心指标，并依据OEE结果将设备运转状态评定为“优秀”、“良好”、“一般”或“需改进”。
数据集通过量化分析设备可用率、性能效率与合格品率，客观反映了不同机型、不同生产模式（批量/混合/单件）下的真实效能与能耗水平，为生产排程优化、设备效能对标、能耗成本控制及预防性维护策略制定提供了精准的数据基础。

This dataset is automatically collected based on the Manufacturing Execution System (MES), covering core indicators including operating duration, actual/planned production time, production efficiency, Overall Equipment Effectiveness (OEE), spindle utilization rate, energy consumption and unit energy consumption. It classifies the equipment operating status into four levels: "Excellent", "Good", "Fair" and "Needs Improvement" based on OEE results. Through quantitative analysis of equipment availability, performance efficiency and qualified product rate, this dataset objectively reflects the actual performance and energy consumption levels of different equipment models and production modes (batch/mixed/single-piece production, and provides an accurate data foundation for production scheduling optimization, equipment performance benchmarking, energy cost control and the formulation of preventive maintenance strategies.

搜集汇总

背景与挑战

背景概述

该数据集专注于数控机床的运转效率分析，包含40条记录，每月更新，覆盖机床编号、运转时长、生产效率、OEE、能耗等多维度指标。它适用于设备效能对比、能耗成本管控和维护策略优化等场景，通过算法规则确保数据准确性，为企业提供数据驱动的生产管理支持。