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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21773

Title: Eco-intelligent monitoring for fouling detection in clean-in-place
Authors: Simeone, Alessandro
Woolley, Elliot
Zendejas Rodriguez, Alfredo
Rahimifard, S.
Keywords: Sustainability
Image processing
Issue Date: 2017
Publisher: © The Authors. Published by Elsevier
Citation: SIMEONE, A. ...et al., 2017. Eco-intelligent monitoring for fouling detection in clean-in-place. Procedia CIRP, In Press.
Abstract: Clean-in-place (CIP) is a widely used technique applied to clean industrial equipment without disassembly. Cleaning protocols are currently defined arbitrarily from offline measurements. This can lead to excessive resource (water and chemicals) consumption and downtime, further increasing environmental impacts. An optical monitoring system has been developed to assist eco-intelligent CIP process control and improve resource efficiency. The system includes a UV optical fouling monitor designed for real-time image acquisition and processing. The output of the monitoring is such that it can support further intelligent decision support tools for automatic cleaning assessment during CIP phases. This system reduces energy and water consumption, whilst minimising non-productive time: the largest economic cost for CIP.
Description: This paper is in closed access until it is published. It was presented at the 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16, Naples.
Sponsor: This work was funded by the Engineering and Physical Sciences Research Council [grant number EP/I033351/1] as part of the Centre for Innovative Manufacturing in Industrial Sustainability.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/21773
Publisher Link: http://www.sciencedirect.com/science/journal/22128271
ISSN: 2212-8271
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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