Ship Maintenance Management

Quick StartCustom AI

Engine management failure on ships can lead to severe accidents. This has a very negative impact on the company's brand as well as its sales.
Engine failure can be prevented in advance if an artificial intelligence model learns the patterns of engine failures from the past. Appropriate timing for engine replacement can be determined based on factors such as engine equipment's age, temperature, speed, and pressure. In addition, by predicting failures and other relevant variables in advance, it guarantees safety and contributes to maintenance and repair of ships.

Main function

1. Ship maintenance management
  • Predicting the replacement timing of ship engines based on real-time data
  • Contributing to the replacement automation system
  • Predict factors that negatively affect the engine through variable analysis
2. Data Security System
  • Thorough data security through security processing
3. Providing various services
  • Interlocking between apps, web and programs is possible by providing various programming languages

API Summary

Data Data type Content Use mode
Input data  CSV Number of voyages, engine replacement timing, temperature, speed, pressure, etc. API
Output data CSV Timing of engine replacement API

Application procedure

Payment Subscription method Attached file upon application
Prepaid charge Online Customer data required for model creation
Application procedure
  • Apply for service at Home page
  • Training data upload 
  • Consultant review and confirmation of availability
  • Business verification and online contract signing
  • Model generation
  • Use the generated artificial intelligence as an API