Concept for the detection of virtual functional modules in existing plant topologies

Hahn, Anna; Hensel, Stephan; Hoernicke, Mario; Urbas, Leon

doi:10.1109/indin.2016.7819273

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…One approach to summarize important information is the design of KPIs [12]. KPIs are often used for economic purposes, the general application and their purpose can also be adapted to give insights on the plant performance based on the process data [13,14]. To evaluate KPIs, the input data needs to be defined, e.g., the efficiency of a heat exchanger.…”

Section: State Of the Artmentioning

confidence: 99%

Automated Evaluation of Biochemical Plant KPIs based on DEXPI Information

Klose,

Wagner-Stürz,

Neuendorf

et al. 2023

Chemie Ingenieur Technik

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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.

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Section: State Of the Artmentioning

confidence: 99%

Automated Evaluation of Biochemical Plant KPIs based on DEXPI Information

Klose,

Wagner-Stürz,

Neuendorf

et al. 2023

Chemie Ingenieur Technik

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“…By the necessity of modernizing the industry's facilities digital models are implemented for simulation in a virtualized environment, which allows to automatically convert engineering documents obtained specifically from pipe diagrams and instrumentation. The resulting models can serve as a basis to support engineering tasks that require simulations [13]. The applications that were mentioned take focus on the training of professionals but not the educational field.…”

Section: Introductionmentioning

confidence: 99%

Virtual Training for Industrial Process: Pumping System

Yugcha

Ubilluz

Andaluz

2019

Lecture Notes in Computer Science

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The article presents a virtual environment of a pumping system oriented to training of users that interact with industrial processes. The application of it was performed in a graphic engine Unity 3D, where shows two training environments: i) Electro pumps laboratory, simulates control operations of control for manipulating many configurations from centrifugal pumps in individual, serie or parallel in order to visualize by an HMI the physical parameters such as: pressure, flow and temperature; ii) Industrial environment the user prepares in a complementary way how to know industrial processes in a practical and realistic way. In order for making the virtual application immersive and interactive, the modeling of the electrical characteristics of the pumping system was carried out.

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