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Mitsubishi Electric Integrates AI Into NEXIEZMRL Elevator System

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Mitsubishi Electric Integrates AI Into NEXIEZMRL Elevator System
Latest company news about Mitsubishi Electric Integrates AI Into NEXIEZMRL Elevator System

The NEXIEZ-MRL Version2, a machine-room-less elevator system from Mitsubishi Electric, combines AI-based traffic-flow prediction with modular components intended to improve vertical mobility and rider experience in modern buildings. It is designed to improve dispatching, waiting times and energy performance. Its specifications also cover emergency operation, monitoring and mobile integration for smart-building environments.

Core architecture and traffic-flow optimization

The system's central control is the ΣAI-2200C controller, which uses Mitsubishi Electric's AI technology to analyze real-time traffic data. A simulator evaluates and selects the most suitable dispatching rules, allowing elevators to maintain stable operation during peak and off-peak periods.

Physical design changes also support transport efficiency. Optimized door systems and an optional landing-opening (LO) function are cited in technical assessments as producing about 12 percent higher transport efficiency and a 14 percent shorter average wait time than conventional models. A sensor above the car door monitors passengers in the elevator hall; when no one is waiting, it automatically shortens door-closing time, further reducing average waiting time by 10 percent.

Technical specifications at a glance

The system's published specifications cover cabin dimensions, energy performance and control features.

Technical feature Performance and specification
Car height Up to 2,800 mm
Energy-efficiency class VDI 4707 Class A
Core control ΣAI-2200C AI traffic prediction
Energy-saving features Regenerative converter (PCNV) and LED lighting

Safety, comfort and sustainability

The design includes emergency provisions for power loss, fire and earthquakes. These include Mitsubishi Emergency Landing Device (MELD/MELDH) systems, which are intended to bring the elevator to a safe landing. The MelEye monitoring system continuously tracks elevator and escalator operating status to support preventive maintenance.

For cabin air quality, an optional Plasma Quad TM circulation fan is designed to capture viruses, bacteria, pollen and odors. On sustainability, the regenerative converter (PCNV) feeds power generated by the elevator traction machine back into the building grid, while LED lighting helps the system meet VDI 4707 Class A energy-efficiency standards.

Digital and mobile integration

For smart-building environments, the NEXIEZ-MRL Version2 offers several mobile and building-system options:

  • ELCS-SP : Allows users to make remote calls through a dedicated website accessed on a smartphone.
  • ELCS-RB : Coordinates elevator operation with mobile robots for logistics and delivery tasks.
  • DOAS linkage : Supports car-call selection and improves integration with destination-floor control systems.

These options are intended to extend the elevator system beyond conventional call buttons and into broader building-management and service workflows.

Frequently Asked Questions

How does the NEXIEZ-MRL Version2 achieve its energy-efficiency rating?
The system uses a regenerative converter (PCNV) to return power generated during traction-machine operation to the building grid, and it pairs that feature with low-energy LED lighting to meet the VDI 4707 Class A standard.
How does AI traffic-flow prediction reduce waiting times?
The ΣAI-2200C controller collects traffic-flow information in real time, uses a simulator to anticipate passenger demand in the coming minutes and adjusts dispatching logic dynamically, which helps reduce average passenger waiting time.
What emergency functions operate during an earthquake?
The system includes Mitsubishi Emergency Landing Device (MELD/MELDH) functions. When an earthquake signal or power failure is detected, the system starts an emergency procedure and guides the elevator to a safe landing.
Pub Time : 2026-10-25 00:00:00 >> Blog list
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