First, establish expected lifetimes of your pipes. This can be achieved by many different means in InfoMaster, some available options are:
- Reliability Analysis – incorporating statistical models (Cox, LEYP, Herz, Weibull, NHPP…)
- Likelihood of Failure – incorporating any data you have available, be it GIS layers or ODBC tables
InfoMaster can perform a variety of different complex statistical deterioration models. Though these models are extremely complex mathematically, all the user needs to do is to specify install dates for pipes (when the pipes ‘began their life’) and specify criteria that defines which pipes have reached the end of their useful life, be it that the pipes have had previous failures, or based on age, material, or any other criteria. The InfoMaster tools will take that data from a sample-size of the network and scale the statistical results to the whole system.
Second, plug these expected lifetimes in to the InfoMaster Baseline Replacement Cost tool to generate your Nessie curve. This tool allows you to specify replacement materials, the costs are calculated based on our user-defined Replacement cost table.
The Baseline Replacement Cost tool will now evaluate which pipes will reach the end of their useful life for every year (over whatever time horizon you have specified, i.e. the next 50 years), and will then calculate the total replacement costs every year (broken down by each different pipe material). By applying an interest rate users can also incorporate Time-Value-of-Money.