Case Studies




Hydrogen Megastation

Digital Twin

Connect sensor data from each piece of equipment for intuitive monitoring


Data Monitoring

Equipment Optimization


Operational Safety
Real-time


Large-Diameter

Steel Manufacturing Digital Twin

Monitoring of key data such as power, pressure, and temperature for each piece of equipment, and quality control


Process-by-process simulation

Real-time monitoring


Quality control
Safety management

Case Study

Hydrogen Megastation

Digital Twin



Connect sensor data from each piece of

equipment for intuitive monitoring


Data Monitoring


Equipment Optimization


Operational Safety


Real-time


Large-Diameter

Steel Manufacturing Digital Twin



Monitoring of key data such as power, pressure,

and temperature for each piece of equipment,

and quality control


Process-by-process simulation


Real-time monitoring


Quality control


Safety management



Visualization of Renewable Energy

Lifecycle Data


-Establishing a digital twin system to streamline

defect repair operations.

-Enabling intuitive defect location identification and repair feasibility within a 3D space.


Hydrogen Energy Reaction Efficiency Evaluation


-Provides reaction efficiency evaluation based on

hydrogen reforming conditions

-Analyzes impact of changes in pressure, steam,

and temperature ratios


Hydrogen Energy Reaction Efficiency Evaluation


-Provides reaction efficiency evaluation based on

hydrogen reforming conditions

-Analyzes impact of changes in pressure, steam,

and temperature ratios


Optimization of Quality and Resource Management


-Establish a data collection environment across the entire steel manufacturing process.

-Provide process-specific digital twin simulations.

-Analyze and predict equipment utilization, manage resource efficiency, and reduce defect rates.


Welding and Heat Treatment Process Control and Prediction


-Track and control welding line conditions with

predictive management.

-Detect defects through video-based monitoring and recommend optimized heat treatment conditions.

-Optimize input variables such as cooling water, arcvoltage, gas pressure, and injection volume.


Defect Rate Reduction Simulation Module


-Simulate key variables such as cycle time,

equipment voltage, mold temperature, and

cushioning.

-Provide correlation analysis, dependencies, and

data modeling for each process condition.

-Support defect reduction and productivity

improvement.


Integrated Management of Large-

Scale Chemical Facilities


-Visualize chemical plants and equipment through digital twin technology.

-Build an environment that enables systematic

control of complex processes.


AI-Based Operation Condition

Management


-Provide analysis of reactor conditions and internal heat flows

-Support process variable optimization, anomaly

detection, and operation condition management.


Safety Management and Predictive

Maintenance


-Optimize input/output conditions of NCC processes using AI technology.

-Ensure safety against risks such as gas leaks.

-Predict pipeline and equipment failures to support preventive maintenance.


Logistics Environment Simulation


-Manages situational information including logistics assets, transportation data, and tracking history through digital twin-based virtualization

-Provides virtual simulations of logistics flows for

specific time periods


LH Defect Repair System


-Established a digital twin system to streamline defect repair operations for construction projects


Emergency Room Monitoring System


-A solution for real-time monitoring and optimizing patient flow in emergency rooms


Yeosu Digital Twin Tourism


-Underwater journey at Odo Island and the undersea tunnel

-Tour of the camellia grove where camellias bloom year-round


Mokpo Digital Twin Tourism


-Tour of the Modern Street where history and

culture coexist

-Tour of the Mokpo Port Festival, a dazzling

spectacle of light


Shinan Digital Twin Tourism


-Tour of the mysteriously colored Purple Island

-Tour of the Flower Festival representing the colorful city of Shinan


Visualization of Renewable Energy Lifecycle Data


-Establishing a digital twin system to streamline   defect repair operations.

-Enabling intuitive defect location identification and repair feasibility within a 3D space.


Hydrogen Energy Reaction Efficiency Evaluation


-Provides reaction efficiency evaluation based on hydrogen reforming conditions

-Analyzes impact of changes in pressure, steam, and temperature ratios



Hydrogen Energy Process Safety Management


-Provides AI-based production, storage, and consumption volume prediction capabilities

-Predicts abnormal signs and pipeline failures in advance




Optimization of Quality and Resource Management


-Establish a data collection environment across the entire steel manufacturing process.

-Provide process-specific digital twin simulations.

-Analyze and predict equipment utilization, manage resource efficiency, and reduce defect rates.




Welding and Heat Treatment Process Control and Prediction


-Track and control welding line conditions with predictive management.

-Detect defects through video-based monitoring and recommend optimized heat treatment conditions.

-Optimize input variables such as cooling water, arc voltage, gas pressure, and injection volume.



Defect Rate Reduction Simulation Module


-Simulate key variables such as cycle time, equipment voltage, mold temperature, and cushioning.

-Provide correlation analysis, dependencies, and data modeling for each process condition.

-Support defect reduction and productivity improvement.




Integrated Management of Large-Scale Chemical Facilities


-Visualize chemical plants and equipment through digital twin technology.

-Build an environment that enables systematic control of complex processes.


AI-Based Operation Condition Management


-Provide analysis of reactor conditions and internal heat flows

-Support process variable optimization, anomaly detection, and operation condition management.



Safety Management and Predictive Maintenance


-Optimize input/output conditions of NCC processes using AI technology.

-Ensure safety against risks such as gas leaks.

-Predict pipeline and equipment failures to support preventive maintenance.



Logistics Environment Simulation


-Manages situational information including logistics assets, transportation data, and tracking history through digital twin-based virtualization

-Provides virtual simulations of logistics flows for specific time periods


LH Defect Repair System



-Established a digital twin system to streamline defect repair operations for construction projects



Emergency Room Monitoring System


-A solution for real-time monitoring and optimizing patient flow in emergency rooms




Yeosu Digital Twin Tourism


-Underwater journey at Odo Island and the undersea tunnel

-Tour of the camellia grove where camellias bloom year-round


Mokpo Digital Twin Tourism


-Tour of the Modern Street where history and culture coexist

-Tour of the Mokpo Port Festival, a dazzling spectacle of light



Shinan Digital Twin Tourism


-Tour of the mysteriously colored Purple Island

-Tour of the Flower Festival representing the colorful city of Shinan




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Customized Adoption

Choose the implementation model that best fits your scale and purpose.


A large-scale project covering the entire manufacturing facility and production lines, supporting process/equipment monitoring, optimization, and predictive maintenance.


-Mid-sized companies and above

-Multiple production lines


A customized project focused on critical equipment, enhancing efficiency through equipment monitoring and optimization.




-Small business

-Multiple production lines


A cost-effective subscription model based on a collaborative business model, providing cloud services that can be used immediately.




-Small business

-Sales retention

Partners

A proven partnership driving innovation in industrial settings




Partners

A proven partnership driving 

innovation in industrial settings