带式输送机设备单体无负荷试运转记录数据集

数据采集环节，在合规前提下通过人工填报（记录异常现象、人工测量噪声等）与设备传感器直连（自动采集电机电流、轴承温升）双渠道获取数据；数据加工环节，先清洗无效记录，再依据带式输送机行业标准（如温升≤40℃）校验参数阈值，通过结构化处理将异常描述转化为标准化标签，最终生成可直接用于分析的结构化数据集。

In the data collection phase, data is acquired through two compliant channels: manual reporting (recording abnormal phenomena, manually measuring noise, etc.) and direct connection with equipment sensors, which automatically collect motor current and bearing temperature rise. In the data processing phase, invalid records are first cleaned, then parameter thresholds are verified against industry standards for belt conveyors (e.g., temperature rise ≤ 40°C), abnormal descriptions are converted into standardized labels via structured processing, and finally a structured dataset ready for direct analysis is generated.

搜集汇总

背景与挑战

背景概述

该数据集记录了带式输送机设备在无负荷试运转过程中的性能参数和异常情况，主要应用于矿山、港口等工业场景的设备安装验收、日常运维监测和故障溯源分析。数据来源于自行产生，通过人工填报与设备传感器双渠道采集，并经过清洗、阈值校验等结构化处理，形成可直接用于分析的结构化记录。数据集规模为364KB，无固定更新周期，旨在支持设备合规性验证和老化趋势追踪。