Please use this persistent identifier to cite or link to this item: doi:10.24405/4189
Title: Capturing and Exploiting Plant Topology and Process Information as a Basis to Support Engineering and Operational Activities in Process Plants
Authors: Arroyo Esquivel, Esteban 
Language: eng
Keywords: Automation;Rohrleitung;Simulation
Subject (DDC): 620 Ingenieurwissenschaften
Issue Date: 2017
Document Type: Thesis
Abstract: 
Confronted with the competitive challenges brought by the ongoing digitization of the industrial sector --Industry 4.0, plant owners and contractors in the process industry are called to create and exploit digital plant models enabling the efficient execution and integration of different activities across the entire plant lifecycle. In the case of existing process facilities, an important part of the information required for this task exists already in form of legacy engineering documents, such as scanned diagrams and schematics in elementary digital formats. However, current engineering and enterprise tools cannot fully exploit this source of knowledge due to the non-computer-interpretable nature and heterogeneity of such data sources. As a consequence, process experts and engineers must often retrieve and consolidate information manually when executing daily activities; a practice that is not only error prone but also time-intensive, and costly. In an effort to cope with that problem, this thesis presents a functional methodology for the capture, formalization, integration, and subsequent exploitation of legacy design documents, specifically Piping and Instrumentation Diagrams, and Control Logic Diagrams. Motivated by the concept Automation of Automation, the proposed methodology aims to serve as a basis for the automatic execution of required steps within automation-related plant modernization and operational tasks. Experimental results demonstrate the effective applicability of the approach in two use cases of industrial relevance: (a) automatic generation of plant simulation models for the validation of basic control functions during plant modernization projects, and (b) fault propagation analysis for supporting alarm management and fault diagnosis during plant operation.
Organization Units (connected with the publication): Automatisierungstechnik 
DOI: https://doi.org/10.24405/4189
Advisor: Fay, Alexander  
Referee: Thornhill, Nina Frances
Grantor: HSU Hamburg
Type of thesis: Doctoral Thesis
Exam date: 2017-06-09
Appears in Collections:Publications of the HSU Researchers

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