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Framework for material modelling in a processing plant
Chalmers Technical University.ORCID iD: 0000-0002-3283-067x
Chalmers Technical University.
Chalmers Technical University.
2015 (English)Conference paper, Poster (with or without abstract) (Refereed)
Sustainable development
In my opinion, the content of this publication falls within the area of sustainable development.
Abstract [en]

Material modelling within a crushing plant is closely dependent on both manual and automatic operations as well as a close follow up on the utilization of the plant performance from a management perspective. The desire to fully be able to utilize the crushing plant with respect e.g. to material handling is limited due to the lack of possibility to fully observe actions within the process. There are large quantities of data that can be monitored in the crushing plant SCADA system. However the data collected are governed by the quantity of actual sensors in the process. The aim with this paper is to propose a method for how-to pre-process the automatically gathered SCADA data in order to fill up dynamic models for process simulations. There is a fundamental need to increase the resolution of how the crushing plant behaves. This will be structured as a framework for analysing and suggesting model improvements that will increase the utilization and decrease both manual operations and give better performance when controlling the process.

Place, publisher, year, edition, pages
2015.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:hb:diva-14946OAI: oai:DiVA.org:hb-14946DiVA, id: diva2:1237854
Conference
Computational Modelling '15, Falmouth, June 9-10, 2015.
Available from: 2018-08-10 Created: 2018-08-10 Last updated: 2018-08-17Bibliographically approved

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Bengtsson, Magnus

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