Virtual Instruments for the what-if analysis of a process for pollution minimization in an industrial application

被引：0

作者：

Fortuna, L. ^{[1
]}

Graziani, S. ^{[1
]}

Xibilia, M. G. ^{[2
]}

Napoli, G. ^{[3
]}

机构：

[1] Univ Catania, DIEES, Viale A Doria 6, I-95125 Catania, Italy

[2] Univ Messina, DRP, Contrada di Dio Panoramica dello Stretto, I-98166 Messina, Italy

[3] Univ Messina, Dipartimento Matematica, I-98166 Messina, Italy

来源：

PROCEEDINGS OF 2006 MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2 | 2006年

关键词：

virtual instruments; refinery; neural modelling; what-if analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work deals with the design and implementation of soft sensors designed to perform the what-if analysis on a Sulfur Recovery Unit (SRU) in a refinery. Soft sensors are mathematical models able to emulate the behaviour of existing sensors on the basis of available measurements. This paper deals with the design of a soft sensor by using a nonlinear one step ahead model, eventually usable on-line. The realized models represented the building blocks for the design of the Virtual Instrument based on a multi steps ahead predictor to be used in the what-if analysis. The instrument allows the estimation the consequences that variations of the input trends produces on system outputs, to eventually improve control policy effectiveness.

引用

页码：440 / +

页数：2

共 6 条

[1] Soft analyzers for a sulfur recovery unit [J].