Automated Evaluation of Biochemical Plant KPIs based on DEXPI Information

Research output: Contribution to journalResearch articleContributedpeer-review



Implementation of data-based key performance indicators (KPIs) within existing plants usually requires a thorough manual analysis of the plant topology to define which sensors could provide reliable information for calculating the KPIs. In this publication, we propose an assistance system that automates this process. First the automatic linkage between plant structure and operational data is presented for the evaluation of the process efficiency. Next, a concept and prototypical implementation of the evaluation of predefined KPIs is described. The plant structure is described according to the DEPXI specification, while a rule-based framework was developed to depict the process-engineering knowledge. The proposed methods have been validated in an experimental setup. It could be shown that with standardized inputs, a generic extendable evaluation of the plant performance can be achieved.


Original languageEnglish
Pages (from-to)1165-1171
Number of pages7
JournalChemie Ingenieur Technik
Issue number7
Publication statusPublished - Jul 2023

External IDs

unpaywall 10.1002/cite.202200239
Scopus 85152563489
WOS 000984965400001
ORCID /0000-0001-5165-4459/work/142248285


Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis


  • DEXPI, Integration of KPIs, Rule-based expert system, Structural plant model, Dexpi

Library keywords