The WEARwatcher enables predictive maintenance of a lift and can be used, independent of the control system and manufacturer, on lifts of every age. Thanks to our long-standing experience in the lift measurement technology, we have been developing trendsetting algorithms, which automatically record and assess the state of lifts, make it possible to plan service calls in advance and to optimise them.

As a real edge computing device, the WEARwatcher analyses recorded data in an in-depth manner, on site, on the elevator and sends the results in form of notifications, alarms, trends and condition changes to the Henning WEARwatcher cloud. There, this data is further analysed by the use of artificial intelligence and self-learning algorithms.

For monitoring medium- and large-sized inventories of lift systems, Henning WEARwatcher cloud generates monthly reports, which enable easy and efficient assessment and a ready display of recommended and needed actions.