摘要
先进控制技术可以把若干个变量控制在期望的控制点上,从而达到装置效益的整体优化。近年来,各种先进控制软件在催化裂化装置、加氢裂化等装置上得到了广泛的应用。为了实施加氢裂化装置的先进控制,需要在线计算其产品质量指标。轻石脑油干点就是其中一个质量指标。为了避免单纯依靠过程数据进行软测量建模而导致的计算结果与工艺分析结果相矛盾的情况,结合过程数据和质量指标的关联公式,利用粒子群算法建立轻石脑油的软测量模型。该软测量模型已在现场实施,应用结果表明,该模型有较高精度。
The advanced control technology could control several variables at the expected control value, there fore the benefit of the unit can reach optimum. In recent years various advanced control softwares have been applied in CCU, HCU etc. units. It is required to calculate products quality on-line to execute the advanced process control. The dry point of light naphtha is one important product quality parameter. To avoid the contradiction between the calculation result based on the module built from the soft measurement of the process data and the calculation result based on process analysis, combining the related formula on process data and quality index, the soft measurement model of light naphtha has been built, used the particle swarm algorithm. The soft measurement model has been applied in site. The application result has shown that the model has high accuracy.
出处
《石油化工自动化》
CAS
2009年第6期54-56,共3页
Automation in Petro-chemical Industry
关键词
轻石脑油干点
软测量
关联公式
粒子群
dry point of light naphtha
soft sensor
relevant formula
particle swarm optimization
