The city of Anytown, USA was facing a multi-million dollar decision on upgrading their aging stormwater infrastructure. Their existing models were outdated, and traditional analysis methods were time-consuming and expensive. By leveraging HydroBOA AI, their engineering team was able to achieve remarkable results.
The Challenge
Anytown's primary challenge was balancing flood mitigation with budget constraints. They needed a solution that could identify the most critical areas for intervention without requiring a complete overhaul of their system.
The Solution
Using our Advanced Calibration module, the team quickly validated their SWMM model against recent storm event data. Then, they utilized the Automated Pipe Design module to run hundreds of "what-if" scenarios. The AI-powered engine identified a phased approach to pipe replacement and storage unit installation that would meet their flood protection goals for a fraction of the initial projected cost.
The Results
- $2.3 Million in projected capital savings.
- 75% reduction in modeling and analysis time.
- 15% improvement in network-wide flood resilience.
This case study demonstrates the real-world impact of applying advanced computational intelligence to hydraulic engineering challenges.