A novel method for rapid inspection of sewer networks: combining acoustic and optical means

Abstract

Operation and maintenance of the public sewer system represent key tasks for an operator. Condition assessment is usually conducted by conventional closed circuit television (CCTV) inspection. However, alternative tools such as manhole-zoom cameras (MZCs) and the acoustic technology SewerBatt® are available today. The INNOKANIS project investigates structural and operational condition assessment in the sewer system by means of 3 MZC models and SewerBatt® to develop a combined optical and acoustic device as cost-effective alternative to conventional CCTV inspection. The first field trials of the ongoing project were conducted in Austria in 2011. 640 conditions according to EN 13508-2/A1 were investigated and compared against conventional CCTV reports. Individual and combined detection rates for both devices were calculated. Based on the current findings, both MZC and SewerBatt® are effective alternatives to conventional CCTV inspection. In addition, performance is significantly enhanced when both devices are used in combination.

Metadata

Item Type:	Article
Authors/Creators:	Plihal, H. Kretschmer, F. Bin Ali, M.T. See, C.H. Romanova, A. Horoshenkov, K.V. https://orcid.org/0000-0002-6188-0369 Ertl, T.
Copyright, Publisher and Additional Information:	© 2016 Taylor & Francis. This is an author produced version of a paper subsequently published in Urban Water Journal. Uploaded in accordance with the publisher's self-archiving policy
Keywords:	acoustic inspection; CCTV; INNOKANIS; manhole-zoom camera; SewerBatt®
Dates:	Published: 12 September 2015 Published (online): 12 September 2015 Accepted: 27 June 2015
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:	Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/I029346/1
Depositing User:	Symplectic Sheffield
Date Deposited:	19 Sep 2016 13:39
Last Modified:	21 Mar 2018 21:44
Published Version:	http://dx.doi.org/10.1080/1573062X.2015.1076857
Status:	Published
Publisher:	Taylor & Francis
Refereed:	Yes
Identification Number:	10.1080/1573062X.2015.1076857
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:93427

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A novel method for rapid inspection of sewer networks: combining acoustic and optical means

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