Intelligent Vehicle Analytics and Prognostics

Tender description

Network Rail is looking to improve the data collected from its assets, both from the vehicles themselves and from the infrastructure in and around its depots and facilities. This information will be tied into the asset management principles that Network Rail is looking to develop for its fleets. Network Rail would like to understand at any point where our vehicles are, as well as how full they are. This includes but not limited to wagons (i.e. Ballast) and tanks (i.e. water, fuel etc). Network Rail would also like to have real time information on vehicle/system performance to inform decision making. Network Rail would also like to collect the data from the system to build data sets that enables Network Rail to start informing preventative maintenance decision making i.e. extended timescales. The same data sets would also allow for Network Rail to start identifying the precursors to failures and ultimately allowing for failure prediction.