Sewer CCTV Condition Assessment Training

Peter Henley is our Head of Pollution & Flooding Reduction

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The inspection of our drains and sewers using cameras to determine their condition has been undertaken for the last 40 odd years. In its infancy, cameras were pulled through pipes and images were taken every metre to capture a view of the sewer. Today, the tools on offer to surveyors range from pole cameras and push rod systems to high-definition cameras mounted on tractor units, floats and even drones. While getting a CCTV camera into and along a pipe has largely been solved, the age-old problem of accurately and objectively interpreting what the images portray, in terms of asset condition assessing, is still a challenge yet of paramount importance.

WRc created the first image coding structure in 1980, which set out how to interpret key defects and then code them in a standardised format, resulting in the publication of the Manual of Sewer Condition Classification (MSCC) coding structure - now in its 5th edition . However, there remains a critical need to train surveyors in the interpretation of the captured footage and the correct method of coding and classifying defects observed, according to the MSCC, so that a pipe’s internal condition can be consistently assessed and graded to prioritise repair and maximise investment and maintenance budgets.

The training options for CCTV coding for surveyors, who are engaged in the condition assessment of drains and sewers, is primarily in three main levels, with each addressing the specific training needs of the surveyor - based on the work they undertake and that of the engineers required to review the footage.

It is essential that high-quality training at each of the three levels is implemented and maintained to ensure the correct coding of defects, and that the generated reports represent an accurate condition assessment of the drain or sewer under review.  All those working on an inspection are required to have a good understanding of how the survey was undertaken, how the codes were attributed and how the internal condition grade is calculated, as well as having knowledge of the standard itself to make the best-informed decision regarding any remedial action required.

To support the upskilling of the UK water industry, WRc is delighted to now offer our new one-day CCTV Awareness Training Course to people engaged in operational maintenance and sewer rehabilitation, as well as any water engineers who need to have an understanding of the application of the findings of a sewer CCTV survey.

This new course provides technical knowledge on sewer deterioration, the use of CCTV condition surveys and their use in sewer rehabilitation planning. The course covers the key aspects of sewer inspection, with an overview of the MSCC coding structure, how to recognise key features and the correct use of the codes and how the associated condition grading is generated using the WRc SRM methodology.

"The course will support consistency and up-skilling, which will then relate to reducing business risk on high grade defects within our sewer network, but also enable us to be less risk averse and therefore ensure money is spent where needed.”

- UK water company manager and recent course attendee.

Created by potrace 1.16, written by Peter Selinger 2001-2019

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Created by potrace 1.16, written by Peter Selinger 2001-2019

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Peter Henley

Head of Pollution and Flooding Reduction

Peter has been in the waste water industry for over 30 years, specialising in sewerage operations and waste water issues. He has an extensive background in sewer flow surveys, pipeline condition assessment and inspection and rehabilitation. He works closely with the WRc Infrastructure team to deliver the condition assessment of live rising mains using innovative inspection techniques to determine remaining asset life. Peter has worked on sewer operational best practice guides and leads delivery of technical training in sewer condition classification, drain investigation and drain repair both in the UK and internationally.

2024-08-20 12:45:00