Logistics & Port
Continuous STS crane drivetrain monitoring
- Client
- Major Korean port operator
- Industry
- Logistics & Port
- Duration
- Field deployment
Challenge
Normal sound and vibration across hoists, trolleys, brakes, and other STS crane drivetrain components change with operating state and load. Scheduled inspections cannot track every change during operation, and analyzing signals individually can misclassify normal state transitions as anomalies.
Approach
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.
Outcomes
- 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
Project summary
- Target equipment
- STS crane drivetrain
- Signals
- Acoustic, vibration, temperature, and PLC context
- Operation
- Edge collection with live API monitoring
Solution details
A continuous condition-monitoring system that analyzes STS crane drivetrain sound and vibration in operating context.
Signals collected by field sensors are stored per device so operators can follow live condition, trends, and anomaly events together.
- Multi-sensor acoustic, vibration, and temperature capture
- PLC operating-state segmentation
- Edge filtering and reliable data transfer
- Per-device live streams and session history
- Anomaly events with operating context
- Signals
- Drivetrain acoustics, vibration, temperature, operating state, speed, and load
- Deployment
- Field multi-sensor nodes with Xylolabs API monitoring
- Why combine the signals with PLC data?
- The same sound or vibration has different meanings depending on hoist, trolley, and brake state and load. Accounting for operating context helps reduce false anomaly detections during normal state transitions.
- How do operators review field data?
- Sensor nodes send selected data to the API. Operators can review live signals, collection sessions, history, and anomaly events together for each device.