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.
|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|
|Payment||Subscription method||Attached file upon application|
|Prepaid charge||Online||Customer data required for model creation|
|API Setting||$1,800 ~|