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.