选矿过程关键设备预测性维护系统支撑数据集

针对位于项目示范单位金川集团选矿厂关键设备安装了用于支撑预测性维护系统的传感器，收集了相关设备的振动传感器数据。此数据集包括关键设备振动数据和选矿关键设备的运行时间数据，振动数据来源于现场传感器，设备运行时间来源于生产考察，振动数据格式为.aiff（203 MB），设备运行时间数据为.csv（15.1 MB），数据集支撑选矿过程关键设备预测性维护功能及效果。

Sensors supporting the predictive maintenance system were installed on the key equipment at the concentration plant of Jinchuan Group, the project demonstration unit, to collect vibration sensor data from the relevant equipment. This dataset contains vibration data of the key equipment and operating time data of the critical mineral processing equipment. The vibration data is sourced from on-site sensors, while the equipment operating time data is obtained from production surveys. The vibration data is stored in .aiff format with a size of 203 MB, and the operating time data is in .csv format with a size of 15.1 MB. This dataset supports the development and effectiveness verification of predictive maintenance functions for key equipment in the mineral processing process.

搜集汇总

背景与挑战

背景概述

该数据集是选矿过程关键设备预测性维护系统的支撑数据，包含来自金川集团选矿厂关键设备的振动传感器数据（.aiff格式）和设备运行时间数据（.csv格式），总数据量为136.29MB，共4个文件。数据集旨在支持预测性维护功能，属于国家重点研发计划项目'选矿过程关键设备故障诊断与产品质量在线管控技术'的成果，适用于选矿工程领域的研究和应用。