Cross domain clustering of chemical and electrical network in a chemical plant

The rise of Industry 4.0 has ushered in an age of digital revolution where software can be used to replicate industrial processes digitally through non-invasive means. This provides users with the ability to simulate specific scenarios within controlled environments and predict possible outcomes tha...

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Main Author: Lee, Bryan Zhen Yuan
Other Authors: Foo Yi Shyh Eddy
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148956
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1489562023-07-07T16:36:24Z Cross domain clustering of chemical and electrical network in a chemical plant Lee, Bryan Zhen Yuan Foo Yi Shyh Eddy School of Electrical and Electronic Engineering Cambridge Centre for Advanced Research and Education in Singapore Ltd (Cambridge CARES) Clean Energy Research Laboratory (CERL) Gourab Karmakar EddyFoo@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries Engineering::Electrical and electronic engineering::Computer hardware, software and systems The rise of Industry 4.0 has ushered in an age of digital revolution where software can be used to replicate industrial processes digitally through non-invasive means. This provides users with the ability to simulate specific scenarios within controlled environments and predict possible outcomes that can be used for data analysis and process optimization. One such system that is capable of doing this is the J-Park Simulator (JPS). The JPS, modelled after the Eco Industrial Park of Jurong Island in Singapore, is an ontology-based Semantic Web Service that uses Web Ontology Language (OWL) to replicate the processes and scenarios within the Digital Equivalent of the island. It is modelled to allow interoperability within heterogeneous domains within a parallel world setting. Thus, it can replicate a wide range of scenarios such as carbon measurements, chemical and electrical processes. However, information sharing between separate domains has posed challenges as the concepts and relations between separate domains are not fully defined. There is also a need for cross domain interaction between components from different domains to show how parameters from individual domains affect one another. Therefore, this report proposes the development of a Semantic Web Service that can be used to study the effect of changes between components from the chemical and electrical effects within a chemical plant. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-21T06:09:51Z 2021-05-21T06:09:51Z 2021 Final Year Project (FYP) Lee, B. Z. Y. (2021). Cross domain clustering of chemical and electrical network in a chemical plant. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148956 https://hdl.handle.net/10356/148956 en A1049-201 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Lee, Bryan Zhen Yuan
Cross domain clustering of chemical and electrical network in a chemical plant
description The rise of Industry 4.0 has ushered in an age of digital revolution where software can be used to replicate industrial processes digitally through non-invasive means. This provides users with the ability to simulate specific scenarios within controlled environments and predict possible outcomes that can be used for data analysis and process optimization. One such system that is capable of doing this is the J-Park Simulator (JPS). The JPS, modelled after the Eco Industrial Park of Jurong Island in Singapore, is an ontology-based Semantic Web Service that uses Web Ontology Language (OWL) to replicate the processes and scenarios within the Digital Equivalent of the island. It is modelled to allow interoperability within heterogeneous domains within a parallel world setting. Thus, it can replicate a wide range of scenarios such as carbon measurements, chemical and electrical processes. However, information sharing between separate domains has posed challenges as the concepts and relations between separate domains are not fully defined. There is also a need for cross domain interaction between components from different domains to show how parameters from individual domains affect one another. Therefore, this report proposes the development of a Semantic Web Service that can be used to study the effect of changes between components from the chemical and electrical effects within a chemical plant.
author2 Foo Yi Shyh Eddy
author_facet Foo Yi Shyh Eddy
Lee, Bryan Zhen Yuan
format Final Year Project
author Lee, Bryan Zhen Yuan
author_sort Lee, Bryan Zhen Yuan
title Cross domain clustering of chemical and electrical network in a chemical plant
title_short Cross domain clustering of chemical and electrical network in a chemical plant
title_full Cross domain clustering of chemical and electrical network in a chemical plant
title_fullStr Cross domain clustering of chemical and electrical network in a chemical plant
title_full_unstemmed Cross domain clustering of chemical and electrical network in a chemical plant
title_sort cross domain clustering of chemical and electrical network in a chemical plant
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148956
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