高效精馏分离提高工业萘结晶点数据集

高效精馏分离提高工业萘数据集主要收集工业萘精馏工序的运行操作过程中参数数据信息，主要包括精馏系统的进料量、精馏塔塔顶压力、塔顶温度、进料板温度、塔底温度、工业萘冷却后温度及侧线温度等多个工艺功能模块为工业萘结晶点、含萘数据的设计集成化，确保工业萘产品调节过程可控，各项指标运行稳定，产品质量达到标准要求，为同行业装置稳定运行及工艺优化提供数据支持。

The Dataset for Efficient Rectification Separation to Enhance Industrial Naphthalene Quality primarily collects parameter data generated during the operational process of the industrial naphthalene rectification procedure. It covers multiple key process parameters, including the feed flow rate of the rectification system, overhead pressure and temperature of the rectification column, feed plate temperature, bottom temperature, post-cooling temperature of industrial naphthalene, and side draw temperature. These parameters are integrated to support the integrated design of industrial naphthalene crystallization point and naphthalene content data, aiming to ensure the controllability of the industrial naphthalene product adjustment process, stable operation of all technical indicators, compliance of product quality with relevant standard requirements, and provide reliable data support for the stable operation and process optimization of similar industrial installations.

搜集汇总

背景与挑战

背景概述

该数据集专注于工业萘精馏过程，旨在通过收集精馏系统的关键工艺参数（如进料量、温度等）来解决结晶点波动问题并提高能源效率。它支持优化工业萘产品纯度和装置稳定性，为同行业提供工艺优化和数据支持。数据集以Excel格式存储，应用于焦油工业萘精馏场景，强调高效精馏和结晶点控制技术。