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BEFORE PREDICTIVE MAINTENANCE

Standardized verification of elevator components
The contents of the maintenance modules are predefined by laws and decrees. Off site, not all critical elevator parameters and components are systematically checked.

WITH PREDICTIVE MAINTENANCE

24/7 monitoring, better than an on-site technician
Thanks to sensors installed on the device, more than 200 data points are analysed by powerful artificial intelligence algorithms, to identify malfunctions even before they are apparent.

BEFORE PREDICTIVE MAINTENANCE

Undifferentiated elevator maintenance regardless of age, brand, use
While each building is occupied differently, they benefit from the same maintenance plan: a 30-year-old elevator vs. a one-year elevator/a 30-storey office tower device vs. a 5-storey residence.

WITH PREDICTIVE MAINTENANCE

Tailor-made service, specific to each elevator and its use
Predictive maintenance orders correspond to the specific needs and uses of each system. They are the result of factual analysis of equipment data, i.e. more than 15,000 data points every 2 seconds.

BEFORE PREDICTIVE MAINTENANCE

Standard intervention process for all malfunctions
The identification of the malfunction is based on the technician's expertise. If necessary, he must order the part and come back to repair. And a failure can be a succession of malfunctions. This results in a longer process before the return to service.

WITH PREDICTIVE MAINTENANCE

Targeted interventions, just the first time
The predictive system guides the maintenance technician, who can anticipate the need for spare parts and intervene already equipped with them. Repair is then immediate. Cognitive AI technology, combined with human expertise, provides an unprecedented level of accuracy.

BEFORE PREDICTIVE MAINTENANCE

Curative intervention during a breakdown
Repairs are triggered after maintenance visits or breakdowns, but it is often too late! We can only see the final physical manifestation of a breakdown and not the source of the malfunction.

WITH PREDICTIVE MAINTENANCE

Identification of dysfunctions undetectable by the human eye
The identification of anomalies is based on the analysis of factual data. It is thus possible to identify intermittent faults which are undetectable under normal conditions. The failure or malfunction is thus dealt with at source.

BEFORE PREDICTIVE MAINTENANCE

Maintenance technician expertise
At KONE, our technicians receive continuous training in addition to a refresher training on the latest technologies, which is mandatory once a year.

WITH PREDICTIVE MAINTENANCE

Maintenance technician and AI expertise
Two ways of learning here: technological and human. The AI recommendations are commented on on-site by the technicians, which enrich the database. Knowledge benefits all our maintenance technicians worldwide.

BEFORE PREDICTIVE MAINTENANCE

Maintenance level according to the maintenance contract
The contract concluded will establish the level of intervention of the maintenance and fault handling technician.

WITH PREDICTIVE MAINTENANCE

Tailor-made elevator maintenance quality, extending service life
Since the number of interventions is not limited, each device receives tailor-made maintenance. Each malfunction is repaired to prevent a larger part from breaking. The service life of the elevator is thus extended.