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Smart Elevator Design: Striking the Balance Between Sensor Networks and AI Optimization

Aug 11th,2025 510 Puntos de vista
With the continuous advancement of artificial intelligence (AI) technology, system designers face a critical trade-off: whether to achieve specific design objectives by adding more sensors or to leverage AI instead. Smart elevators serve as a prime example. Modern elevator designs already incorporate multiple sensors.

The core functionality of smart elevators begins with passenger flow analysis and operational optimization. This can be achieved by integrating vision-sensing technology into new elevator designs. In a vision-based intelligent multi-elevator system, cameras are installed inside elevator cabins and on each floor, all connected to the elevator control system. Using data collected from these sensors, the system's passenger flow statistics module calculates the number of people waiting on each floor and the current occupancy of each elevator. With this information, the system intelligently adjusts elevator dispatching and resource allocation.

However, installing additional visual sensors can be costly. By employing AI, smart elevators can analyze traffic patterns to optimize cabin scheduling, reducing wait times and congestion. This advantage is particularly crucial in unique environments like cruise ships, where passengers need to quickly adapt to a new elevator system's operational logic.

Kone Corporation provides a real-world example of AI-powered smart elevator systems in marine applications. Its KONE TrafCal elevator traffic analysis system evaluates passenger flows in multi-elevator setups, analyzing different scenarios such as embarkation, disembarkation, and routine operations at sea to determine the optimal passenger movement strategy.

Additionally, the company’s hybrid Destination Control System (DCS) significantly improves elevator efficiency on passenger vessels, especially during peak hours. The system intelligently groups passengers heading to the same destination into the same elevator. Instead of calling an elevator and selecting a floor after boarding, passengers are directed to a pre-assigned elevator optimized for their destination.

The system already detects passenger load, using this data to dispatch available elevators to floors where service is requested. This prevents frustrating situations during rush hours where elevators arrive already full, leaving no room for additional passengers. KONE’s hybrid DCS combines the performance benefits of traditional DCS with the user-friendly operation of conventional collective control systems.

As mentioned in a previous blog, compliance with industry standards and government regulations is essential across various applications. In marine environments, Kone adheres to certification standards set by members of the International Association of Classification Societies (IACS), including Achilles JQS (Joint Qualification System), DNV, Lloyd’s Register, and RINA.

The choice between "adding more sensors" and "enhancing AI capabilities" will remain a key challenge for sensor and system designers—especially for existing systems already equipped with multiple sensors.

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