HIMA^TM Step 3 - Approach

What is the remaining service life?

Knowing an asset’s current condition and the expected service life for its family of behavior is essential to estimate its remaining service life. But Harfan goes one step further, conducting a statistical analysis of the organization’s current data to forecast remaining service life. Harfan’s CIP Builder features an efficient predictive module that generates realistic deterioration curves for each asset family.

Approach

• Starts with the service life assumptions and trends set out by industry, institutional, or other existing expert systems.

• For greater accuracy, similar components in each infrastructure network can be grouped into families.

• A family’s remaining service life can be determined, for instance, using the following data:

  • Water distribution network: Statistical analysis of repairs and leaks, breakage history, remote field testing, field sampling, and testing

  • Sewer network: Statistical analysis of defects, results of CCTV inspections, results of zoom camera inspections

  • Road network: Statistical analysis of defects, pavement management system (PMS) results, results of visual inspections

  • Buildings portfolio: Statistical analysis of defects, results of visual inspections

  • Wharf network: results of visual inspections, detail inspections, CCTV underwater inspections

• The expertise of local engineering firms is used to help generate deterioration curves to determine remaining service life.

• Comparison and benchmarking with industry standards (best practices) to determine the acceptable level of service for the organization.

 
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