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 |
|---|
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Pricing
| Category | Price |
|---|---|
| API Setting | $1,800 ~ |
| API Predicting | $0.002/row |