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Network condition assessment

Through advanced machine learning algorithms, the Likelihood of Failure module can predict the utility network condition as well as applying existing inspections for a complete condition assessment.

Key features:

  • Reduce CCTV inspection costs by prioritizing areas in bad condition.
  • Optimize lifespan of the utility network through insights of estimated and observed condition.
  • Experience-based degrading profiles for all network types.

The LoF module can be individually adjusted, depending on e.g. the year of inspection, prediction intervals etc.

Related modules

APX module

The APX module offers a unique way of operating with individual criteria for reinvestment prioritization.

Data quality assessment

The Data Quality module brings immediate network and GIS insights to harvest full value of the utility network analysis of APX®.

Inflow & Infiltration (I&I)

Excess water that flows into a sewer network from stormwater or groundwater—also known as inflow and infiltration

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