Predictive maintenance for more reliable equipment

Traditional non-connected maintenance is often reactive and responds only after something stops working. Digitally enabled predictive maintenance takes a smarter, proactive approach, meaning fewer breakdowns, faster fixes, longer equipment life, and happier customers.

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What is predictive maintenance?

Predictive maintenance uses equipment data, remote monitoring, and analytics to help identify developing issues before they lead to service disruption. For connected elevators and escalators, these insights can support proactive maintenance planning, faster troubleshooting, and more reliable operation, helping reduce the risk of unexpected downtime and keep people moving.*

 

* These numbers reflect averages observed over 12 months in KONE connected units in the USA and Canada. Individual results may vary.

  • Proactive Service Task Addressed

    ~53%

    Of issues handled proactively with real-time detection

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  • Days Between Failure

    ~119

    24/7 Connected Services significantly reduces the likelihood of unexpected shutdowns and breakdowns.

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  • First Time Fix Rate

    ~61%

    24/7 Connected Services identifies specific issues to support fixing them the first time around.

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Enabled by 24/7 Connected Services

Benefits of connected maintenance

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    Support lower lifecycle costs

    A tailored maintenance program uses equipment condition and usage data to help keep components in good working order and inform timely parts replacement, potentially reducing lifecycle costs.

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    Data-informed service plan

    Equipment data and analytics help tailor your maintenance plan, allowing relevant tasks to be scheduled for an upcoming visit when needed.

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    Fewer disruptions

    Proactive monitoring and maintenance can help reduce unexpected disruptions and support reliable equipment operation over time.

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    24/7 remote monitoring

    Connected equipment data is monitored around the clock to help identify changes in equipment condition and performance.

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    Faster remote response

    KONE technical specialists have visibility to equipment faults from anywhere, which helps diagnose and resolve issues efficiently.

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    Early issue detection

    Equipment data and analytics can identify early warning signs and help schedule timely, relevant maintenance actions.

Predictive. Remote. Transparent.

A smarter approach to elevator service.

KONE Predictive Maintenance
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How does predictive maintenance differ from traditional maintenance?

See the key differences between traditional maintenance and our digitally enabled connected service – making smart, connected maintenance the new standard for safety and peace of mind.

 

 Traditional non-connected maintenanceKONE digitally enabled predictive maintenance
Planning and monitoringFollows a fixed schedule based on estimated wear and tearUses real-time equipment data to monitor actual usage 24/7
Issue detectionAction only taken before failure if signs are visiblePredictive and proactive, intervention before failure
Response speedVariable, often delayedRapid, critical alarms prioritized and addressed without delay
DowntimeLonger, unexpectedSignificantly reduced, most faults fixed before operation is affected
TransparencyLimited information, via reportsFull real-time equipment status and history online
Equipment longevityStandard, no early interventionsOptimized asset life and reliability
   

How does predictive maintenance work?

Analytics help identify issues early

Connected sensors and cloud-based analytics continuously monitor equipment data to help identify early warning signs before they lead to service disruption. Here’s how connected maintenance supports elevators and escalators:

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    Real-time monitoring and maintenance optimization

    24/7 monitoring of equipment health and smart technology that helps identify issues early and enables relevant preventative maintenance actions.

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    Fast remote problem resolution

    KONE technical specialists can access equipment fault information from anywhere, helping them diagnose and resolve issues efficiently.

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    Use insights to expand the lifetime of your equipment

    KONE combines equipment data with specialist expertise to recommend maintenance, repairs, and upgrades that can help extend the useful life of your equipment.

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Full equipment transparency and digital experience​

Digital communication tools

Get real-time updates and insights into equipment performance through an intuitive online self-service tool. ​

Suitable for different environments

Benefits all types of buildings and equipment

Predictive maintenance isn’t just for the largest city skyscrapers or brand new buildings - it’s a smart investment for building owners, facility managers and building operators who value reliable people flow and asset protection.

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    Residential buildings

    Residential buildings where tenant comfort and security matter.

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    Office complexes

    Office complexes and commercial real estate aiming to guarantee seamless access and fewer interruptions.

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    Hospitals, hotels, and public spaces

    Hospitals, hotels, and public spaces with high people flow and a need for maximum uptime.

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    Shopping centers, transit hubs, and infrastructure sites

    Shopping centers, transit hubs, and infrastructure sites where every minute of downtime impacts user experience and revenue.

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Frequently asked questions

Predictive maintenance uses real-time monitoring and data analytics to anticipate potential problems and schedule well-timed actions. It combines remote diagnostics with onsite work by technicians to ensure that elevators operate reliably and safely. Compared to conventional reactive maintenance, predictive maintenance improves service outcomes, reduces costs and provides better reporting.

Traditional maintenance follows a fixed schedule, replacing parts based on age or wear. Predictive maintenance utilizes usage data and equipment data to spot issues early, to schedule the right actions, thus keeping elevators running longer with fewer disruptions and lower lifetime costs.

Predictive maintenance reduces the likelihood and duration of downtime by addressing many issues before they affect service. In KONE's connected elevator base, outcomes include resolving issues proactively and reducing downtime. Actual results vary by site, equipment, connectivity, and market availability. Not all faults can be prevented.

Operations and performance data is collected from equipment controllers, inbuilt equipment sensors and from additional sensors for 3rd-party equipment and shared via a secured connection to the IoT cloud services. Innovative AI-based data analytics identifies patterns and early warning signs. The system generates alerts, recommends actions and updates the maintenance plan accordingly. Building managers can see real-time equipment status and service information in KONE's digital tools. Availability of specific capabilities (for example, KONE Remote Rescue) may vary by equipment, contract and market.