Network Rail’s new partners

19/05/2020

Network Rail controls more than 20,000 miles of train track across Britain and Northern Ireland. Every day, there are more than 4.8 million journeys made by rail in the UK and over 600 freight trains run on the network. Over such an expansive system of routes, monitoring the condition of the track and scheduling maintenance can be extremely difficult, particularly in rural locations. Now, Network Rail is determined to deploy innovative new technology to help aid in this crucial area of work.

Remote condition monitoring can allow Network Rail to track wear and tear across its routes, without having to expend significant time and resources to do so. Traditionally, the application of remote condition monitoring on rail infrastructure has only been deployed tactically due to the substantial cost of the digital technology required. At the same time, benefits have been difficult to sustain and even harder to measure; however, a new programme, supported by three consulting firms, is looking to change this on Network Rail’s behalf.

The Intelligent Infrastructure strategy will seek to address the former failings of remote condition monitoring, developing it into a business-driven solution that is scalable and sustainable. The new capabilities will equip Network Rail with real-time condition monitoring and data-driven insights, aided by artificial intelligence, to improve decision-making and asset management. Network Rail expects to lower costs and enhance safety by predicting and preventing maintenance issues, prioritising work streams and minimising the time rail workers spend on the tracks.

The strategy is being overseen by a consortium of consulting firms. Cognizant, Amey Consulting and Arup have been awarded a five-year contract to design, build and operate digital capabilities based on artificial intelligence, the Internet of Things (IoT), data analytics and mobility technologies that will help improve Network Rail’s asset management and overall performance. Cognizant will lead the consortium in developing and applying enhanced data collection and analytics to more than 12,000 connected assets, such as track circuits, signal power supplies and switches belonging to Network Rail.