Integrated process and control system model for product quality control-application to a polypropylene plant

Balazs Balasko, Sandor Nemeth, Gabor Nagy, Janos Abonyi

Research output: Contribution to journalArticle

3 Citations (Scopus)


In the near future of chemical industry, communication between design, manufacturing, marketing and management should be centered on modeling and simulation, which could integrate the whole product and process development chains, process units and subdivisions of the company. Solutions to this topic often set aside one or more components from product, process and control models, hence, as a novel know-how, an information system methodology was developed. Its structure integrates models of these components with a process data warehouse where integration includes information, location, application and time integrity. It supports complex engineering tasks related to analysis of system performance, process optimization, operator training systems (OTS), decision support systems (DSS), reverse engineering or software sensors (soft-sensors). The case study in this article presents the application of the proposed methodology for product quality soft-sensor application by on-line melt index prediction of an operating polymerization technology.

Original languageEnglish
Article number50
JournalChemical Product and Process Modeling
Issue number1
Publication statusPublished - Feb 4 2008



  • melt index prediction
  • offline simulator
  • process analysis
  • software sensor

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Modelling and Simulation

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