AI solution for detecting anomalies of machinery
AI solution that detects abnormalities in mechanical equipment by interworking
with IoT sensors in the mechanical equipment operation environment
with IoT sensors in the mechanical equipment operation environment
IWᆞMotor
Introduction
- An artificial intelligence solution that collects IoT-based sensor measurement data in the mechanical equipment operation environment and diagnoses normal or abnormal combination of mechanical equipment
- Operating on Edge computing system and lightweight learning model
- Always service available based on cloud
Key functions and Configuration
- Deriving mechanical equipment characteristics through IoT-based noise/vibration and current signal analysis
- Learning model inference for determining operating status and abnormalities of mechanical equipment
- Provides customized model reflecting time series signal changes and operating environment
Key Features and Excellence
- Prevent safety accidents and losses by monitoring and diagnosing the status of mechanical equipment such as production automation, smart factories, and facilities at all times
- On-site verification and commercialization of AI solution for detecting machine condition abnormalities (2022.04~)
Demand
- Factory or machinery users
- A company that manages mechanical equipment that drives motors, etc.
Application field
- Anomaly detection service for power plant facilities using motors, pumps, etc.
- Subway escalator abnormality detection service, etc.