Implicit optimization based on a genetic algorithm approach to optimally adjust pipe roughness, valve settings, and other data to provide a calibrated model (KYPipe only). The program minimizes the difference between observed field data (usually fire flow test data) and model predictions considering all test data simultaneously to provide the best calibration possible. This is all set up with an easy to use Calibration Wizard.
Inputs: Pressure or Flow readings from Hydrants or Junctions in your system at various times.
Output: Roughness values or Roughness aging factors that may optionally be applied to the pipes. The calibration roughness can be unapplied in one step.
