Python编程在分析处理乙烯装置实时数据中的应用

乙烯工业 ›› 2024, Vol. 36 ›› Issue (4): 15-20.

Python编程在分析处理乙烯装置实时数据中的应用

黄心远

中韩（武汉）石油化工有限公司湖北武汉 430082

收稿日期:2023-11-15 修回日期:2024-09-06 出版日期:2024-12-25 发布日期:2024-01-03
作者简介:黄心远，男，2020年毕业于华东师范大学有机化学专业，硕士，现为乙烯装置压缩操作工，工程师。

Application of Python Programming in Analyzing Real-time Production Data of Ethylene Plants

Huang Xinyuan

Sinopec-SK (Wuhan) Petrochemical Company Limited，Wuhan, Hubei, P.C.430082

Received:2023-11-15 Revised:2024-09-06 Online:2024-12-25 Published:2024-01-03

摘要/Abstract

摘要：

中国石化某乙烯装置“110万吨改扩建”后，裂解气压缩机组出现真空度下降现象。从实时数据库中导出不同时间段与凝汽器相关的实时运行参数，运用python编程语言对化工生产大数据进行分类、筛选、清洗，通过数理统计方法分析相关性并做出三维散点图；以历史数据为基准构建排汽压力的多元线性回归模型并验证准确性。

关键词: 裂解气压缩机 , 凝汽器 , python , 数据分析

Abstract:

After the processing capacity of an ethylene plant in Sinopec was expanded to 1.1 million tons per year, the vacuum degree of its cracking gas compressor unit decreased. The real-time operation parameters related to the condenser in different time periods were exported from the real-time database, python programming language was used to classify, screen and clean the big data of chemical production, the correlation was analyzed through mathematical statistics, and a three-dimensional scatter diagram was made. A multiple linear regression model of exhaust pressure was constructed based on historical data, and its accuracy was verified.

Key words: cracking gas compressor, condenser, python, data analysis

黄心远. Python编程在分析处理乙烯装置实时数据中的应用[J]. 乙烯工业, 2024, 36(4): 15-20.

Huang Xinyuan. Application of Python Programming in Analyzing Real-time Production Data of Ethylene Plants[J]. Ethylene Industry, 2024, 36(4): 15-20.