锌冶炼中性浸出过程智能建模数据集

锌冶炼中性浸出过程智能建模数据集于2019年 9月23日至 2019年11月21日期间在某锌冶炼公司采集：包含4#中性浸出槽温度检测、1#中浸溢流泵出口流量检测、2#中浸溢流泵出口流量检测、废电解液至氧化槽流量检测等159种实时数据。每条数据包含采集的时间、位号、数据名称、数值等信息。采集方式是OPC SERVER和Webservice，数据来源于DCS和MES，采集频率是1s，总共298805条数据，数据类型是文件。

The intelligent modeling dataset for the neutral leaching process of zinc smelting was collected at a certain zinc smelting enterprise from September 23, 2019 to November 21, 2019. It encompasses 159 types of real-time monitoring data, including the temperature of the No.4 neutral leaching tank, the outlet flow of the overflow pump for No.1 neutral leaching, the outlet flow of the overflow pump for No.2 neutral leaching, the flow of spent electrolyte delivered to the oxidation tank, and so on. Each data record contains information such as collection timestamp, tag number, data name, and measured value. The data was collected via OPC SERVER and Webservice, sourced from DCS and MES systems, with a collection frequency of 1 second. In total, there are 298,805 data entries, and the data is stored in file format.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于锌冶炼中性浸出过程，包含2019年采集的159种实时数据，如温度和流量检测，采集频率为每秒，总计298,805条数据，用于支持智能建模研究。数据来源于DCS和MES系统，以xlsx和docx格式提供，属于国家重点研发计划项目的一部分。