A digital twin is a digital representation of an asset that exists in the physical world. A recording device such as a high-resolution digital video camera or LIDAR (Laser Radar) records everything in front of a vehicle (e.g. a train or a motor car) travelling along a prescribed path, which itself is the “asset”, i.e. a railway or road system.

By using Artificial Intelligence we use this data to gain insights into ways to improve the performance of the asset, increase the safety to staff and customers and decrease the costs associated with maintaining the asset.

Rail corridors are a very large asset with many variables that can affect operations in many ways. Corrosion of overhead gantries, degradation of railway sleepers, ballast movement and even graffiti are all examples of maintenance issues that when combined over thousands of miles can lead to significant risk, costs and performance issues. By maintaining an accurate digital twin of our environment we can better understand the ongoing management issues associated with our asset and develop better ways to maintain and improve the performance of our asset.

Corridor Insights provides the most cost-effective and rapid way of understanding the changes that occur in a network. By using Artificial Intelligence we dramatically increase accuracy compared to manned assessment work, decrease the time between reviews, and provide insights into which areas of the asset require the most attention. Once scans are complete the digital twin can be updated by running new scans. Partial or full scans be completed hourly, daily or monthly depending on the nature of the asset class.