Humaware develops data-driven predictive analytics tools to enhance the predict and prevent capability of the railway network.
Humaware develops data-driven predictive analytics tools to enhance the predict and prevent capability of the railway network. Backed by 30 years of experience in developing and fielding remote condition monitoring technology across a number of industries, we support both the technical and business challenges of implementing predict and prevent strategies. Our toolset uses data-driven methods to provide the user with 100% surveillance of the asset for 100% of the time. There are no thresholds to set and the information is presented to the user via a novel dashboard that enables the root cause to be assessed without the need to analyse the monitored data and forecast the required changes to the maintenance schedule. This capability provides new, simpler protocols to enable the user to efficiently manage the information and accurately determine any intervention that is required. Our toolset provides real operational benefits, by reducing downtime, improving maintenance efficiency and providing reassurance that critical asset monitoring is always taking place, thereby improving the safety case.