A Predictive Maintenance Solution for Elevator Doors

Like every industrial sector, elevator manufacturers are looking for ways to fully optimize the performance, productivity, and operating costs of their machines. A common objective within the elevator industry is to utilize Industry 4.0 technologies and solutions to evolve from a reactive or preventive maintenance state to a predictive state powered by AI-enabled devices and sensors.

The Problem – Predictive Elevator Door Maintenance

Elevator door components are under constant wear due to their continuous movement. It is estimated that 60 to 70 percent of elevator downtimes are due to maintenance on those components. Wide variances in usage rates, age of components, and environmental conditions all combine to create service call rates that are unpredictable and inefficient. This creates a cascade of problems, including:

• Inefficient Use of Resources: Maintenance resources are not optimized and are often dispatched either too early or too late.
• Client Disruption: Prolonged elevator downtimes create traffic congestion and put additional pressure on other elevators.
• High Maintenance Costs: The lack of AI-enabled predictive analytics inhibits the ability to perform maintenance when it is actually needed (or before actual failure).
• Reduced Component Lifespans: Legacy—reactive—maintenance routines are often performed too late to extend the life of expensive elevator door components.

Elevator manufacturers need a solution that provides the predictive intelligence necessary to provide deeper observability into the real time conditions and health of elevator door components. These new capabilities would provide predictive insights that would power maintenance routines that are more productive and less disruptive.

The Solution – MicroAI AtomML

MicroAI AtomML™ is uniquely positioned to solve elevator door maintenance challenges. AtomML is an embedded, self-correcting, semi-supervised learning engine that aggregates data from device and machine sensors to create a behavioral profile of the asset and then actively monitors for abnormal performance and potential malfunctions.

For elevator manufacturers, AtomML enables transition to a predictive maintenance state via deployment of an intelligent ecosystem that includes:

The Impact

MicroAI AtomML has provided elevator manufacturers with the technology to mitigate the problems associated with legacy door maintenance processes. The following is a simple breakdown of the advantages of predictive door maintenance.