System development for eco-industrial parks using ontological innovation

Engineering design and system operating comprise highly innovative and knowledge-intensive tasks in the design of an eco-industrial park. Efficient information exchange and communication among distributed parties are very important for a business to succeed. Building a well-structured framework for...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhou, Li, Pan, Ming, Sikorski, Janusz J., Garud, Sushant, Kleinelanghorst, Martin J., Kraft, Markus, Karimi, I. A.
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/80415
http://hdl.handle.net/10220/46500
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Engineering design and system operating comprise highly innovative and knowledge-intensive tasks in the design of an eco-industrial park. Efficient information exchange and communication among distributed parties are very important for a business to succeed. Building a well-structured framework for data/information streamlining and processing is an urgent task in order to achieve further process simulation and optimization in the eco-industrial parks. This paper presents a study of ontological representation for an eco-industrial system, and its deployment on a knowledge-based software platform. The contributions of this work include: Firstly, an ontology model for the relevant chemical process is built relying on the ontological framework provided by OntoCAPE. Secondly, a surrogate modeling method is adopted and implemented for the industrial system. Finally, a Graphical User Interface (GUI), acting as an operating platform, is developed based on the proposed software architectural design. A case study is carried out to demonstrate the chemical process simulation and information query on this platform.