Predictive Maintenance

Quick StartCustom AI

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.

Main function

1. Predictive Maintenance
  • Failure prediction through system data
  • Increase production efficiency
  • Reduce maintenance cost
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 Sensors, devices and operating system data, etc. API
Output data CSV  Failure prediction

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