Podcast archive
Revolutionizing Infrastructure Management with AI | EP 10
Matt Stahl of Halff explains how AI models, computer vision, GIS and CCTV data help cities assess storm drain pipes and prevent problems like sinkholes.
How is AI changing the way cities manage the pipes they already own? In this Engineers for Communities episode, we talk with Matt Stahl about AI-driven asset management. Matt has helped many cities maintain their existing storm drain networks and prevent problems such as sinkholes. His work draws on data analytics, machine learning and deep learning.
Guest
Matt Stahl, PE, CFM, AWAM, AI/Infrastructure Management Team Leader at Halff.
In this episode
- AI for asset management: how Matt's team uses AI to help cities maintain storm drain networks and head off problems like sinkholes.
- Tree-based AI models: how these models predict pipe condition and help engineers find the highest priority pipes.
- Computer vision: how AI models spot pipe defects that contractors may have missed, saving time and money.
- GIS, CCTV and AI together: how data from several sources combine into a detailed picture of pipe condition and defects.
- What comes next: Matt and host Michael Groselle discuss AI's potential in the industry, the challenges of putting it in place, and its long-term benefits.
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