Integrating data systems to improve the assessment of sewer infrastructure

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Overview and Challenge

A leading utility client was struggling to predict high-consequence asset failure due to a lack of connection between their multiple data systems (both on-premises and cloud-based storage) and third-party data systems.

There was a lack of connection between our client’s data systems, so our client wanted a new solution that would enable them to predict high-consequence asset failures.

The Approach

  • We took an innovative and coherent approach to provide data intelligence and solutions to the client and our experienced team used data analytics to inform the client of something they didn’t know.
  • We undertook a trial to assess several high-profile sewer collapses – which were a significant risk in terms of customer perception, cost and safety.
  • We integrated satellite-based radar interferometry outputs with existing datasets to estimate the extent of terrain motion (in millimetres) and associated risk and investigated the potential for employing this technique as a means of detecting collapsing sewers. This allowed for future occurrences to be predicated.

Benefits

  • Our consultative approach ensured there was sufficient business integration to turn the insight into action
  • We developed a generic (automated) ingestion and processing functionality within an existing integrated geospatial storage, analytics and visualisation platform
  • We partnered with a third party to integrate satellite-based radar interferometry outputs with existing datasets
  • We provided clear and actionable data analytics
  • We conducted a cost-effective trial which included a new technique for the predictive assessment of collapsing sewers – resolving the clients’ data insight issues

Our Result

By using agile data integration to align data systems into a common schema, we provided functionality within an existing integrated geospatial storage, analytics and visualisation platform – a system that provided clear and actionable data.

By using existing data, we were able to conduct an efficient and cost-effective trial that introduced a new technique for the predictive assessment of collapsing sewers. Our innovative solutions helped:

  • Facilitate longer-term investment decisions based upon whole life costs, and pinpoint assets that are at risk of failing based on multiple data sources
  • Develop situational awareness for potential consequences of asset failure
  • Identify inefficiencies in the existing proactive maintenance programme
  • Build failure prediction and work prioritisation functionality
 

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