Logistics & Port
STS crane rotating equipment condition monitoring
Anomalies in crane drivetrain signals that change with operating state and load, watched continuously.
Project overview
- Site
- Container terminal STS crane machinery room
- Target
- Drivetrain rotating equipment
- Data
- Sound, vibration, temperature, PLC state, speed and load
- Objective
- Continuous drivetrain anomaly monitoring in operating context
- Client
- Major Korean port operator
- Duration
- Field deployment
Field problem
STS crane drivetrain sound and vibration vary with operating state and load, so scheduled inspections cannot track every change during operation. Analyzing sound or vibration separately can misclassify normal state transitions as anomalies.
XyloZero deployment
Field hardware collects acoustic, vibration, and temperature signals around the drivetrain and aligns them in time with PLC operating state, speed, and load. The system selects data at the edge, sends it to the API, manages per-device sessions and history, and identifies anomalies in operating context.
- Sound, vibration and temperature sensor nodes installed around the drivetrain
- Signals aligned in time with PLC operating state, speed and load
- Edge-selected data sent to the API with per-device sessions and history
Analysis
- Hoist, trolley and brake state and load used as operating context
- Normal operating sound separated from anomalous signals by operating interval
- Anomaly events delivered with their raw signal and context
Results
- Continuous drivetrain condition and anomaly monitoring
- Separation of normal operating sounds from anomalous signals
- Unified management of live data and historical sessions by device
- Source signals reviewed with their operating context