Smart Elevator Health and Ride Comfort Monitoring Using Aurora 213MM2-R1

Background & Pain Points

• Over long periods of operation, elevator traction motors and gearboxes are vulnerable to aging, abnormal vibration, and poor lubrication. These issues degrade operational efficiency and cause unexpected downtime, compromising safety and service availability.
• Without timely monitoring of cabin dynamics, ride comfort deteriorates and door mechanisms operate unevenly, negatively impacting passenger perception and brand reputation.
• Managing large elevator fleets through manual periodic inspections is time-consuming, labor-intensive, and prone to overlooking latent faults. Operators and manufacturers face the challenge of deploying condition monitoring solutions rapidly and cost-effectively.

Deployed Equipment & Sensor Models

• Aurora® 213MM2-R1 Smart Sensors: Three sensors installed per elevator. Two sensors on the traction motor and gearbox monitor vibration, temperature, bearing defect energy, eccentricity, misalignment, looseness, and gear defect energy. One sensor inside the cabin tracks interior vibration energy and door operation smoothness.
• Z920L Wireless Converters: Wirelessly transmit sensor data, featuring high RF power, high sensitivity, robust anti-interference, low power consumption, and support for one-to-many broadcast synchronous transmission.
• Industrial Gateways: Powered by IOTECH Edge Expert® edge platform software to ingest data, supply centralized dashboard analytics for operations centers, and trigger early maintenance dispatches.

Results & Benefits

• Enhanced Elevator Reliability: Real-time status tracking of traction motors and gearboxes detects anomalies before failures occur, significantly reducing unplanned downtime.
• Optimized Passenger Experience: Data insights support fine-tuning acceleration profiles to eliminate sudden stops and jitter, while ensuring smooth, jam-free door cycles.
• Lower Maintenance Costs: Data-driven predictive maintenance decreases routine inspection frequency, improves technician efficiency, and minimizes secondary repair and component replacement expenses.