选矿碎磨过程在线质量分析与优化控制数据集

针对位于项目示范单位金川集团选矿厂一选车间碎磨系统关键设备及流程收集了用于选矿碎磨过程在线质量分析与优化控制技术开发的原始数据，包括用于碎磨来料矿石质量特性智能感知、磨机负荷状态智能感知、磨矿分级流程仿真、磨矿产品区间质量自适应控制技术研究相关的原始数据，以及为了完成特定技术目标而进行的对于原始数据的分析数据。其中，（1）碎磨来料矿石质量特性智能感知数据主要由给矿皮带矿石图片、图片对应的大块个数组成，图片数据和对应的大块个数数据均来源于皮带矿石粒度图像分析仪，图片数据格式为.png（1.51 GB），大块个数数据格式为.csv（58 MB），该组数据可支撑碎磨流程矿石质量特性的判断；（2）磨机负荷状态智能感知数据主要由磨机负荷特征值组成，磨机负荷特征值数据来源于磨机负荷智能监测装置，磨机负荷特征值数据格式为.csv（4.52 MB），该组数据可支撑磨机负荷状态的智能感知；（3）磨矿分级流程仿真数据主要由仿真模型输入、输出变量表，磨矿分级流程数据组成（包括检测值与计算值），检测值来自流程仪表，计算值来自仿真模型，输入、输出变量表格式为.xlsx（12 KB），磨矿分级流程数据中的检测值与计算值格式均为.csv，其中检测值（407 MB），计算值（62.6 MB），该组数据支撑磨矿流程量化描述；（4）磨矿产品区间质量自适应控制技术研究相关的数据由控制规则变量表以及磨矿产品粒度指标波动、碎磨吨矿能耗指标数据组成，规则变量表来自于控制规则制定准则，指标数据来自于生产考察，规则表格式为.xlsx（12 KB），指标数据格式为.csv（6.24 MB），该组数据支撑碎磨过程控制实施以及控制效果。

Raw data for developing online quality analysis and optimal control technologies for the mineral processing crushing and grinding process was collected from the key equipment and processes of the crushing and grinding system in the first concentrator workshop of Jinchuan Group's concentrator plant, the project's demonstration unit. The collected data includes original data related to intelligent perception of ore quality characteristics for crushing and grinding incoming materials, intelligent perception of mill load status, simulation of the grinding classification process, and research on interval quality adaptive control technology for grinding products, as well as analyzed data derived from the original data to achieve specific technical objectives.

(1) The intelligent perception data of ore quality characteristics for crushing and grinding incoming materials mainly consists of ore images on the ore feeding belt and the number of large lumps corresponding to the images. Both the image data and the corresponding lump count data are sourced from the belt ore particle size image analyzer. The image data is in .png format (1.51 GB), and the lump count data is in .csv format (58 MB). This dataset supports the judgment of ore quality characteristics in the crushing and grinding process.

(2) The intelligent perception data of mill load status mainly includes mill load characteristic values, which are collected from the intelligent mill load monitoring device. The mill load characteristic value data is in .csv format (4.52 MB). This dataset supports the intelligent perception of mill load status.

(3) The simulation data for the grinding classification process mainly includes the input and output variable tables of the simulation model and the grinding classification process data (including detected values and calculated values). The detected values come from on-site process instruments, while the calculated values are from the simulation model. The input and output variable tables are in .xlsx format (12 KB). Both the detected values and calculated values in the grinding classification process data are in .csv format, with the detected values totaling 407 MB and the calculated values totaling 62.6 MB. This dataset supports the quantitative description of the grinding process.

(4) The data related to the research on interval quality adaptive control technology for grinding products consists of control rule variable tables, fluctuation data of grinding product particle size indicators, and energy consumption indicator data per ton of ore in the crushing and grinding process. The control rule variable tables are derived from control rule formulation criteria, and the indicator data comes from production surveys. The rule variable tables are in .xlsx format (12 KB), and the indicator data is in .csv format (6.24 MB). This dataset supports the implementation of crushing and grinding process control and the evaluation of control effects.

搜集汇总

背景与挑战

背景概述

该数据集为选矿碎磨过程的在线质量分析与优化控制技术开发提供原始数据，涵盖矿石质量特性感知、磨机负荷监测、流程仿真和产品自适应控制等多个方面。数据来源于现场设备和模型，支持碎磨流程的智能感知、量化描述和控制实施。