Digital Twin
AI research and development services
Providing intelligent solutions applicable to industrial sites
through data-driven AI model research and service development.
Data and AI
Convergence Research
Research and application of convergence
of various data and AI technologies
AI research and development services
Providing intelligent solutions applicable to industrial sites
through data-driven AI model research and service development.
Intelligent service
Development
Implementation of field-oriented
services such as search, recommendation,
and education support
AI research and development services
Providing intelligent solutions applicable to industrial sites
through data-driven AI model research and service development.
AI model performance
Verification
Ensuring effectiveness Model
performance evaluation and
application
Building data infrastructure
Digitizing and structuring structured and unstructured
data, Building a reliable data infrastructure
Promote Digital Rransformation
Standardization
Establishing a data conversion
and standardization system
Building data infrastructure
Digitizing and structuring structured and unstructured
data, Building a reliable data infrastructure
Metadata∙Quality Control
Operation of data attribute
management and quality
verification system
Building data infrastructure
Digitizing and structuring structured and unstructured
data, Building a reliable data infrastructure
Application of structuring∙
Standardization technology
Securing data processing
technology to enhance usability
AI-based predictive diagnosis
Enhance safety and efficiency by leveraging equipment
status data to predict diagnostics and establish optimal
maintenance strategies.
Operational Data Analysis
Early detection of abnormal signs
through equipment status analysis
AI-based predictive diagnosis
Enhance safety and efficiency by leveraging equipment
status data to predict diagnostics and establish optimal
maintenance strategies.
Prediction∙Response Process
Before a breakdown occurs Establish
a preemptive response process
AI-based predictive diagnosis
Enhance safety and efficiency by leveraging equipment
status data to predict diagnostics and establish optimal
maintenance strategies.
Development of predictive
Diagnostic technology
Developing predictive diagnostic algorithms
for key facilities and enhancing remaining
useful life (RUL) estimation and anomaly
detection models.
AI-based predictive diagnosis
Enhance safety and efficiency by leveraging equipment
status data to predict diagnostics and establish optimal
maintenance strategies.
Building a CBM program
By applying condition diagnosis techniques
to the maintenance process, maintenance cycles
can be optimized Improved maintenance efficiency
Industrial data expansion
Other than nuclear power Expanding data technology
across industries, including energy and plants.
Support for data
transformation by industry
Domain-specific data digital
transformation and structuring
Industrial data expansion
Other than nuclear power Expanding data technology
across industries, including energy and plants.
Building industrial
Learning data
For AI learning Creating
industrial datasets
Industrial data expansion
Other than nuclear power Expanding data technology
across industries, including energy and plants.
Data-driven
Decision support
Providing data-driven decision-making
that improves safety and efficiency
