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.
关键词
裂解气压缩机/凝汽器/Python/数据分析
Key words
cracking gas compressor/condenser/python/data analysis
维普
万方数据