The railway industry is entering a new era of next-generation track defect detection and software analysis capabilities that optimise railway maintenance and renewal planning, reduce risks through earlier identification of track defects, and improve rail network safety.
Data Collection: Autonomous Systems Offer a Highly Efficient Solution
Today, autonomous inspection systems provide reliable, fully autonomous inspection installed on passenger or freight cars used in revenue service.
One of the most significant advantages of autonomous inspection technology is that every movement of the host train offers an opportunity to evaluate the track, allowing for more frequent inspections without track time being consumed by dedicated inspection vehicles.
The ENSCO Rail Autonomous Track Geometry Measurement System (ATGMS) uses the latest fully digital, non-contact measurement technology employed by traditional manned track geometry systems. Measurements are performed every 250mm, up to the maximum speed of the vehicle, and can be performed in either direction.
The ATGMS provides real-time transmission of continuous metre- by-metre measurement data, as well as exception processing in accordance with the automatically determined class of track.
More Reliable Detection through Artificial Intelligence
One inherent challenge faced by traditional autonomous track measurement systems is that certain conditions or track features can mimic defects, when in fact, track conditions are normal.
Use the form opposite to get in touch with ENSCO Rail directly to discuss any requirements you might have.