Ship analytics and optimisation system SAOS

The Ship Analysis and Optimization System (SAOS) by ServiceMarine is designed for remote control of ship equipment.

The system consists of a set of sensors installed on the units, a data transmission system based on ServiceMarine’s LookOut satellite terminals, a neurocomputer for data preprocessing installed on the ship, and a machine-learning neural network on the server, which allows building predictive models of equipment behavior and predicting emergency situations.

All data collected by the system and analytics of the state of the units are available in the free SmartService web service. The analysis of the state of the ship's equipment using the ServiceMarine ship analytics and optimization system can significantly reduce repair costs and ship downtime in the event of an emergency breakdown.

System composition:

1. Neurocomputer: processing, analytics, and predictive modeling of the operation of power units based on data received from sensors. The neural network self-learns over time; a digital twin is created on the basis of parameters and dependencies of the operating parameters of a particular ship.

2. Rotation sensor: designed to measure torque, shaft rotation speed, and power applied to the shaft.

3. Captain's dashboard: a device for online monitoring of the operating parameters of power units and other ship equipment.

4. SmartService: a web-based platform for the shipowner/responsible onshore services with the ability to generate analytical reports for optimal operation and maintenance of the ship.

5. SAOS satellite beacon: provides data transmission from the neurocomputer via GSM and Iridium communications, as well as the determining of positioning, course, and speed of the ship.

6. Vibration sensor: for building a digital sound model of vibration loads of the power unit.

7. Exhaust gas temperature sensor: for determining the correct operation/tuning of the engine.

8. Oxygen concentration sensors (lambda probe): for determining the quality of the fuel-air mixture.

9. Sound sensor: for building a digital sound model of the power unit.