What are the latest innovations in elevator technology?
The latest innovations in elevator technology are Elevator Destination Control, Intelligent Elevator Dispatch, Energy-efficient Elevator Systems, AI-powered Predictive Elevator Maintenance, and High-Speed Elevators.
Elevator Destination Control Systems
Instead of stopping at every floor, destination control systems allow passengers to enter their desired floor on a touch screen before entering the elevator. This can significantly reduce the time spent waiting for elevators and increase the overall efficiency of the elevator system.
Intelligent Elevator Dispatch
Using artificial intelligence to optimize elevator performance, intelligent dispatch can predict which floors will be busiest at certain times and adjust elevator traffic accordingly. These systems use advanced sensors to feed data to machine learning algorithms which optimize the system's performance. They can monitor real-time data and adapt to varying passenger demands. By analyzing the data collected, intelligent elevator dispatch can reduce energy consumption and enhance overall efficiency. Speaking of which…
Energy-Efficient Elevator Systems
Sustainability has become a necessity, and companies are prioritizing energy-efficient elevators that consume less power and generate minimal heat. Regenerative drives, for example, can capture and store energy created during the elevator's descent for use during its ascent. LED lighting and energy-saving standby modes also reduce an elevator's carbon footprint.
AI-Powered Predictive Elevator Maintenance
AI is transforming the elevator industry with predictive maintenance, a proactive approach that identifies potential issues before they become critical problems. By analyzing vast amounts of data, AI algorithms can forecast wear and tear and predict when maintenance is needed, reducing downtime, extending elevator lifespan, and improving safety. This also leads to more efficient resource allocation, as technicians prioritize urgent tasks and plan accordingly. AI-powered predictive maintenance delivers significant cost savings, enhanced user satisfaction, and showcases the transformative potential of AI in the elevator industry.
Modern high-speed elevators can transport people to higher floors in a matter of seconds. This is particularly useful in tall buildings and skyscrapers where the time spent in the elevator can add up.
KONE, a global leader in the elevator and escalator industry, has consistently been at the forefront of developing these cutting-edge technologies. With a strong focus on sustainability, KONE has introduced energy-efficient elevator and escalator solutions, such as regenerative drives and LED lighting, to reduce the environmental impact of their elevators. By integrating smart elevator technologies, including AI and machine learning, KONE has successfully implemented predictive maintenance* systems that optimize performance and minimize downtime. KONE's UltraRope, a groundbreaking innovation in elevator technology, replaces traditional steel cables with a lightweight, durable carbon fiber rope, enabling faster and more energy-efficient elevator travel while facilitating the construction of taller and more architecturally ambitious buildings.
As a pioneer in the industry, KONE continues to push the boundaries of elevator technology, driving innovations that improve efficiency, safety, and user satisfaction.
*Copyright © 2023 KONE Inc. All rights reserved. Service Descriptions are for illustration purposes only. Differences between product and services characteristics may exist. KONE may modify or discontinue products or services without notice. No guarantee of product or service results is intended, individual results may vary. KONE application programing interface (API) may not be compatible with all third-party application programing interfaces or software. Products and services depicted require a contract, and some are dependent upon purchase of a separate contract. Charges may apply. Services will be available upon release of upcoming software and may not currently be available in all jurisdictions.