Romanova, A., Horoshenkov, K.V. orcid.org/0000-0002-6188-0369, Tait, S.J. et al. (1 more author) (2013) Sewer inspection and comparison of acoustic and CCTV methods. Proceedings of the ICE - Water Management, 166 (2). pp. 70-80. ISSN 1741-7589
Abstract
In the UK, the majority of sewer pipe inspections are carried out using closed-circuit television (CCTV) technology. This inspection technology is expensive; given the size of the UK sewer network, this means that only a small sample of network is inspected regularly. Up-to-date condition information on individual sewers is required to minimise sewer network operation failures and, ultimately, to eliminate flooding. There is therefore a need for a quicker and cheaper inspection method. This paper reports on a novel low-cost acoustic sensor system that can be used for the rapid detection of various defects in sewer pipes. It is shown that a large number of pipe defects can be classified and validated against CCTV images by way of visual examination of the acoustical data presented in the form of spectrograms. An overview of the technological principles used by the acoustic inspection method is presented in this paper together with the results of field trial surveys. The new method was tested in operational sewers in Austria and the acoustic inspection results compared with available CCTV reports: 79% of the defects identified by CCTV were also detected using the acoustic technique.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2012 ICE Publishing. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | failures; sewers & drains; maintenance & inspection |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Sep 2016 11:37 |
Last Modified: | 23 Jun 2023 21:59 |
Published Version: | http://dx.doi.org/10.1680/wama.11.00039 |
Status: | Published |
Publisher: | ICE Publishing |
Refereed: | Yes |
Identification Number: | 10.1680/wama.11.00039 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:95114 |