基于大数据技术的硫黄回收装置尾气SO_2达标优化方法研究  

Research on the Concentration of Sulfur Dioxide Optimization Method for Sulphur Recovery Units Based on Big Date Technology

作　　者：杨文玉[1] 

机构地区：[1]中国石化青岛安全工程研究院,山东青岛266071

出　　处：《安全、健康和环境》2017年第6期29-31,共3页Safety Health & Environment

摘　　要：运用大数据技术,对硫黄回收装置的工艺运行参数数据及SO_2排放数据进行挖掘与分析,提取与SO_2排放浓度强相关的关键性操作变量,完成硫黄回收装置环保大数据建模,从而实现硫黄回收装置SO_2排放浓度的预测和预警,并自动生成当前工况下硫黄回收装置尾气SO_2达标优化方案。The process parameters and SO2 emission data of the sulfur recovery unit were excavated and analyzed by using the large data technology＇. The key operational variables related to the SO2 emission concentration were extracted and the large environmental data of the sulfur recovery unit was completed to real- ize the sulfur recovery device SO2 emission concentration prediction and early warning, and automatically generate the current conditions of sulfur recovery unit SO2 tail gas optimization program.

关 键 词：大数据技术 环保 硫黄回收装置 

分 类 号：TQ125.11[化学工程—无机化工]