Powerail provides a vibration energy harvesting solution that utilizes real-time vibration and GPS data to monitor railway infrastructure, enhancing safety and reducing maintenance costs. This technology helps prevent derailments and maximizes wagon availability by identifying critical areas that require inspection or repair.
Funding
$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCRFounders
Product
Problem
Railway operators face challenges in maintaining the safety and reliability of their infrastructure, particularly concerning the condition of wagon wheels and bearings. Traditional maintenance methods often rely on scheduled inspections, which may not detect defects early enough to prevent costly failures and potential derailments. Undetected bearing issues can lead to increased maintenance costs, operational disruptions, and safety risks.
Solution
Powerail offers a solution for real-time monitoring of railway infrastructure by utilizing vibration energy harvesting and GPS data. The system employs autonomous, wireless IoT sensors installed on each wagon's axlebox to monitor vibration and temperature, providing accurate data on bearing and wheel health. Powerail's AI algorithms analyze vibration data to detect defects, assess their severity, and estimate their progression. By identifying potential failures early, Powerail enables proactive maintenance planning, minimizing unexpected downtime and reducing the risk of accidents.
Target Audience
Powerail targets wagon owners and railway companies seeking to enhance safety, reduce maintenance costs, and maximize wagon availability through proactive infrastructure monitoring.
Features
- Autonomous, wireless IoT sensor powered by a vibration energy harvester
- Real-time vibration and temperature monitoring of wagon axleboxes
- GPS data integration for precise location tracking of infrastructure issues
- AI-powered algorithms for early detection of bearing and wheel defects
- Defect size and progression estimation for informed maintenance planning
- Integration with existing maintenance systems for streamlined workflows
- Remote monitoring capabilities for continuous oversight of railway assets