Industrial AI
  • Flexible production and management with AI
    and big data-based cyber factory
  • Digital transformation and competitiveness through
    innovation across production

Diagram

AI_Asset
적용 사례1
• Limited system to check process data in real time
• Lack of consistency in data linkage and control processes between equipment
• Insufficient system to detect abnormalities in equipment and models at an early stage
• No process for managing alarms by grade and responding quickly
• Inefficient data integration and utilization between systems
• Lack of user-centered intuitive UI makes information access difficult
• Installation and maintenance processes are operated unstructured
• Establishing a system for real-time process data checking and transparent monitoring
• Optimizing control processes by strengthening data linkage between equipment based on OPC-UA
• Early detection of equipment abnormalities through periodic inspections and real-time alarms
• Supporting quick actions by introducing alarm management by grade
• Building a data integration and analysis platform using Redis and PostgreSQL
• Enhancing information accessibility and visibility with user-friendly UI and real-time charts
• Improving operational efficiency by implementing automated installation and maintenance procedures
• Introduction of Smart Factory ODS
• Annual cost savings of 1 to 1.5 billion dollars
• Data collection/analysis in seconds
• Automation and optimization of production processes
• Productivity improvement by 4 to 6%
• Reduction in defect rates and number of failures
• Deriving optimal production solutions for each process
• Quick response through integrated control and analysis
• Improved speed and accuracy in management, production, and decision making
적용 사례1
적용 사례2
적용 사례3