Escalators are a central element of transportation in public spaces. When they break down it causes inconvenience to commuters and creates disturbances that can be felt beyond the escalators’ initial location.
In the context of the DataCity Acceleration Program, we have worked with the Ville de Paris, sponsor of the program to improve urban mobility. We teamed up with SNCF Gares et Connexions and Bouygues Energies et Services to equip an escalator with a collection of various sensors. The consolidated datasets provides a reliable information on the operational context.
Through the detection of patterns in the data, our Mechanical Stairs Predictive Maintenance bot can detect anomalies, predict possible breakdowns, and recommend Operators and Maintainers.