煤矿井下瓦斯抽放系统监测预警数据集合

1、基础处理：采用Excel完成数据录入、字段整理（按“设备类型/参数类型”分类，如1号抽放泵-温度、循环水池-液位）与可视化查看，快速识别参数关联关系；2、深度处理：使用 Python（集成pandas库）开展数据清洗——剔除设备重复采集的状态记录（如多次采集的“泵停止” 状态）、按“二进制变量/有符号16 位值/ 32位浮点数IEEE 754”分类标注参数，同时标记异常值（如1号泵电机电压0V，需核验是否为设备断电或传感器故障）。

1. Basic Processing: Utilize Excel for data entry, field organization (classified by "device type/parameter type", e.g., No.1 Drainage Pump - Temperature, Circulating Water Tank - Liquid Level) and visual inspection, to rapidly identify the correlation between parameters; 2. Advanced Processing: Perform data cleaning using Python with the integrated pandas library, which includes removing duplicate status records collected by devices (e.g., multiple instances of the "Pump Stopped" status), classifying and labeling parameters according to "binary variable, signed 16-bit value, 32-bit IEEE 754 floating-point number", and simultaneously flagging outliers (e.g., 0V voltage of the No.1 Pump motor, which requires verification to determine whether it is caused by equipment power outage or sensor malfunction).

搜集汇总

背景与挑战

背景概述

该数据集是煤矿井下瓦斯抽放系统的监测预警数据集合，规模1G且每日更新，用于设备状态监测、故障预警和运维优化，保障煤矿安全。数据经过Excel和Python处理，包含二进制、浮点数等类型，支持实时风险识别和系统效率提升。