Automated Evaluation of Biochemical Plant KPIs based on DEXPI Information
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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.
Details
Original language | English |
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Pages (from-to) | 1165-1171 |
Number of pages | 7 |
Journal | Chemie Ingenieur Technik |
Volume | 95 |
Issue number | 7 |
Publication status | Published - Jul 2023 |
Peer-reviewed | Yes |
External IDs
unpaywall | 10.1002/cite.202200239 |
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Scopus | 85152563489 |
WOS | 000984965400001 |
ORCID | /0000-0001-5165-4459/work/142248285 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- DEXPI, Integration of KPIs, Rule-based expert system, Structural plant model, Dexpi