How High Frequency Data Improves Vessel Safety and Performance Management
Read More
Condition & Health Monitoring for Safety, Reliability & Lower Breakdown Maintenance
Reduce down time, Identify faults faster, Operate Smarter
Vessel to Shore Intelligence
High frequency data from machinery such as Main Engine, Diesel Generators and others is telemetered securely to shore through Smart Ship Hub onboard gateway. Predictive diagnostics driven by Machine learning algorithms ensure early alerts and performance alarms with multiple level verification by shore based engineers.
Range of key performance indicators including Scavenge Air, Maximal Cylinder pressure, Turbo Charger efficiency, Piston Rings, Cylinder lubrication rate, exhaust boiler vis-a-vis other parameters such as Speed, RPM, Consumption, Weather, Sea state etc. are taken into consideration.
Smart Alerts and Alarms
Advanced end to end Condition Monitoring platform with built in performance based alerts and alarms. Remotely configurable for your critical machinery, Smart Ship Hub provides accurate insight of your machinery condition and probable causes for enabling condition based maintenance. Predictive system alerts and scheduled reports of machinery condition drive this feature onboard and onshore.
Benefits
Root cause analysis, Failure mode and trend values
Machinery health index and detection of faults
Advanced pattern recognition for condition based maintenance
Maintain Optimum Health and Operating Conditions for Onboard Machinery
Identify health and operating condition for your machinery, identify potential issues early, prescribe condition based maintenance routine and prevent equipment failure with condition based alerts. Empower onboard, shore based team to achieve upto 30% higher machinery reliability and uptime.
Condition based alerts help the crew and shore team to anticipate possible equipment failures and gradually move towards more dynamic condition based maintenance. Machinery in top condition contributes significantly towards lower carbon footprint while ensuring lower breakdown maintenance. Safety, reliability through condition based maintenance is ensuring operational excellence.
The digital platform backed has a mix of supervised and unsupervised learning based on the high frequency sensor data. In addition to the intelligent platform, team of experienced chief engineers and machinery performance specialists validate all the anomaly detection in regular operating parameters. Early warning for wear and tear, probably malfunctions and down time scenarios are covered through complex algorithms.
Digital platform with actionable insights for optimizing performance, augmenting your sustainability & growth goals.
