入厂煤质参数检测数据集

1.数据来源：来源于企业研发过程中，检验检测部门按发热量、灰分等关键指标制定数据标准化采集规则的统计数据。 2.数据清洗规则：对数据中异常数值做删除处理。 3.数据加工规则：采用统计分析算法核算指标合格率，通过聚类算法归类煤质等级。

1. Data Source: Statistical data collected by the enterprise's inspection and testing department during the R&D process, where the department formulated standardized data collection rules based on key indicators including calorific value and ash content.
2. Data Cleaning Rules: Abnormal numerical values within the dataset will be deleted.
3. Data Processing Rules: Statistical analysis algorithms are adopted to calculate the qualification rate of indicators, and clustering algorithms are used to classify coal quality grades.

搜集汇总

背景与挑战

背景概述

该数据集由贵州盛锐诚贸易有限公司自行产生，规模为32kb，年更新，聚焦入厂煤质参数检测，包括发热量、硫分等关键指标，用于质量核验、合规判定和风险管控。数据通过标准化采集、清洗和聚类算法加工，支持电厂、钢厂等场景优化入厂调度和配煤方案，保障生产用煤质量稳定。