Cordel Unveils Groundbreaking AI-Powered  Autonomous Infrastructure Monitoring on High Speed One

12 March 2024

 

In a significant leap forward for railway infrastructure management, Cordel is proud to announce that they have deployed a cutting-edge AI-generated Autonomous Infrastructure Monitoring system on the UK's High Speed One (HS1) line. This innovative solution, commissioned in February 2024, marks a new era in railway asset management and offers unparalleled efficiency and insight through end-to-end automation which has been tailored to the unique requirements of HS1.

Leveraging its extensive experience in railway operations and with a successful track record with passenger train installations, Cordel equipped a Network Rail High Speed multi-purpose vehicle with state-of-the-art hardware. This advanced system seamlessly transitions to data collection mode during movement, capturing high-resolution video and survey-grade LiDAR (Light Detection and Ranging) data. These data sets align with the network’s linear reference system, creating a precise digital twin of the railway infrastructure that is updated monthly.

At the heart of the solution is Cordel's proprietary AI platform which transcends traditional data analysis by rapidly transforming raw LiDAR and video inputs into actionable engineering insights. Cordel’s AI processing has been finely tuned to meet Network Rail High Speed’s operational standards which focuses on automating overhead line equipment (OLE) inspections. This approach ensures compliance with day-to-day standards and facilitates proactive asset management through precise change detection and trend analysis. There is also the added safety benefit of getting ‘boots off ballast’.

Nick Smith, VP of Europe and Middle East at Cordel emphasises the transformative impact of its AI-powered solution: "Our work on OLE asset management represents a significant milestone in the automation of the industry. We are thrilled to offer this innovative solution to Network Rail High Speed, enabling high-frequency data capture and analysis for enhanced asset condition assessment and standards compliance.

Charlie Usher, Engineering and Safety Director at Network Rail High Speed said: "At Network Rail High Speed we're committed to using research and development to explore innovative, safer and more efficient ways to maintain the high speed rail infrastructure. Working with partners like Cordel on automated infrastructure monitoring opens up possibilities to transform how we maintain and manage the railway into the future."

Cordel's deployment on HS1 exemplifies our commitment to leveraging our in-house railway expertise and advanced data management capabilities. By integrating diverse data sources, we provide a comprehensive and actionable overview of railway infrastructure, aligning maintenance efforts with service requirements and paving the way for a more agile, automated future in rail inspection.

Notes to Editors

1. Cordel is a technology company at the forefront of developing AI-generated solutions for autonomous infrastructure monitoring. Cordel focuses on the railway industry and combines cutting-edge multi-modal sensor data and AI processing to deliver actionable insights for efficient asset management and operational excellence.

Cordel’s comprehensive suite of rail inspection use cases range from track clearance and vegetation management, to ballast profiling and asset mapping. Its AI-driven analysis identifies potential risks and generates exception reports, offering a holistic view of infrastructure health. This capability enables Network Rail High Speed to make informed, consistent decisions based on cm-level accuracy data and mm-precision change monitoring.

Contact: Nick Smith, VP of Europe and Middle East
W www.cordel.ai
M +44 (0) 7833 777 505 
E [email protected]