Konux uses smart sensors and AI-based analytics to enable predictive maintenance planning.
In France, Konux is monitoring the condition of switches along two high-speed lines for network manager SNCF Network. The projects, along the Paris - Le Mans LGV Atlantique and Paris - Lille LGV Nord high-speed lines, are aiming to predict at what point degradation becomes critical, in order to optimise maintenance planning and avoid failures.
The pilot projects will run for six months, with the overall objective to take the first step towards introducing a digital maintenance system that will help to reduce maintenance cost and increase availability in the mid- to long-term.
In Spain, Catalonia Government Railways (FGC) has contracted Konux to monitor switches across its 340km-long network in the greater Barcelona area.
“Rail infrastructure is still one step behind other kinds of installations such as communications networks or rolling stock,” says FGC infrastructure director, Mr Albert Tortajada. “We expect that systems like the one we are testing in our network will help to fill this gap.”
Belgian infrastructure manager Infrabel has contracted Konux to monitor a number of switches in the Mons Region, 50km south of Brussels.
“The challenge is to find the right parameters and measurements to develop a trustful predictive model and to analyse efficiently the large amounts of data that are available,” says Infrabel switches manager, Ms Annelies Stevens. “One thing we really want to monitor is the track bed stability in switches and crossings as tamping is a typical cyclic maintenance operation that is expensive and the impact, positive or negative, is difficult to evaluate without continuous measurements.”
