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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 changes with operating state and load. Scheduled inspections cannot track every change during operation, while a single signal can mistake a normal state transition for an anomaly.

Approach

Field hardware collects acoustic, vibration, and temperature signals around the drivetrain and aligns them with PLC operating state, speed, and load context. Edge processing selects data for the API, where device sessions and history support context-aware anomaly assessment.

Outcomes

  • Continuous drivetrain condition and anomaly monitoring
  • Separation of normal operating sounds from anomalous signals
  • Live data and historical sessions managed in one workflow
  • 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 reads 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 meaning of the same sound or vibration changes with hoist, trolley, and brake state and with load. Operating context helps separate normal transitions from anomalous behavior.
How do operators review field data?
Sensor nodes send selected data to the API. Operators can review per-device live signals, collection sessions, history, and anomaly events in one workflow.