Villari offers a certified wireless structural monitoring system for continuous, high-accuracy fatigue crack detection in steel structures. Its permanently installed sensors identify small, subsurface cracks early, enabling predictive maintenance and extending asset service life.
Funding
Funding not disclosed
Founders
Product
Problem
Aging steel structures in critical industries face challenges with timely fatigue crack detection, often necessitating frequent and labor-intensive manual inspections. This approach can lead to missed subsurface cracks, unplanned downtime, and uncertainty regarding the true remaining operational lifespan of assets.
Solution
Villari provides a certified wireless structural monitoring system designed for continuous, high-accuracy fatigue crack detection in steel structures. The permanently installed sensors identify small cracks in critical locations at an early stage, enabling predictive maintenance strategies. This data-driven approach reduces the reliance on manual inspections, mitigates the risk of unexpected operational shutdowns, and provides asset owners with the confidence to extend the service life of their infrastructure. The system offers a scalable and user-friendly solution for enhancing asset integrity and optimizing maintenance schedules.
Target Audience
Villari targets asset owners and service providers in industries with heavily loaded steel structures, including ports, terminals, steel manufacturing, and bridges/infrastructure.
Features
- Certified wireless sensors for fatigue crack detection in steel structures.
- High-accuracy crack detection algorithm capable of identifying small fatigue cracks.
- Continuous, real-time monitoring of structural integrity.
- Subsurface crack detection capabilities.
- No surface preparation required for sensor installation.
- Wireless data transmission for remote monitoring.
- Online dashboard providing actionable insights with a traffic light system for crack growth status.
- DNV-RP-A203 qualification verifying technology capabilities.