Power plant facilities come in a wide variety of different types and are processes that generate power from a combination of many different machines. Predictive maintenance is very important because even if one of these machines goes down, electricity production can be disrupted, resulting in significant losses.
Aggregate data from sensors, device enterprise systems, and operational systems accurately predict asset failures. It provides planners and operators with comprehensive insight into asset risk to help maintain a higher level of asset availability, provide service-based differentiation, and reduce maintenance costs.
|Data||Data type||Content||Use mode|
|Input data||CSV||Sensors, devices and operating system data, etc.||API|
|Output data||CSV||Failure prediction
|Payment||Subscription method||Attached file upon application|
|Prepaid charge||Online||Customer data required for model creation|
|API Setting||$1,800 ~|