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  5. Examples of applications of predictive maintenance 4.0 to a fleet of elevators

Article | REF: MT9572 V2

Intelligent predictive maintenance for industry 4.0

Author: Gilles ZWINGELSTEIN

Publication date: June 10, 2024

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5. Examples of applications of predictive maintenance 4.0 to a fleet of elevators

Every day, elevator manufacturers (Kone, Schindler, ThyssenKrupp) transport billions of people with machine fleets numbering several million units. According to ThyssenKrupp, every day, more than twelve million elevators worldwide make seven billion trips and transport more than one billion people. And yet, every year, breakdowns render elevators unavailable for a total of 190 million hours. To improve safety and reduce breakdown times, elevator manufacturers have undertaken to generalize intelligent predictive maintenance using IoT platforms developed by major service companies (IBM, General Electric, Huawei). In France, for example, for hospital elevators, Kone offers a predictive maintenance service called "KONE 24/7 Connected Services". They use real-time data collection and advanced analysis to anticipate breakdowns and optimize elevator maintenance.

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