A multi-sensor approach for fouling level assessment in Clean-in-Place processes

 
Authors: A. Simeone, N. Watson, I. Sterritt, E. Woolley

Abstract: Clean-in-Place (CIP) systems are largely used in food industry for cleaning interior surfaces of equipment without disassembly. These processes currently utilise an excessive amount of resources and time, as they are based on an open loop (no feedback) control philosophy with process control dependent on conservative over estimation assumptions. This paper proposes a multisensory approach including a vision and acoustic system for CIP monitoring, endowed with UV optical fluorescence imaging and ultrasonic acoustic sensors aimed at assessing fouling thickness within inner surfaces of vessels and pipeworks. An experimental campaign of CIP tests was carried out at laboratory scale using chocolate spread as fouling agent. During the tests digital images and ultrasonic signal specimens were acquired and processed extracting relevant features from both sensing units. These features are then inputted to an intelligent decision making support tool for the real-time assessment of fouling thickness within the CIP system.

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Paper presenter
Name:   Alessandro Simeone
Organization:  Centre for Sustainable Manufacturing and Recycling Technologies (SMART), Loughborough University
Email:  A.Simeone@lboro.ac.uk
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