Industrial AI
  • Digital transformation centered on data and application of IT technologies
  • Digitalization of key equipment and processes within the factory and integrated management of the entire process

Diagram

AI_Asset
적용 사례1
• Limited understanding of manufacturing status and data utilization
• Inefficient monitoring and response to equipment abnormalities
• Unsystematic tracking of production performance and defect information
• Lack of alarm management and graded response system for equipment
• Insufficient power consumption and anomaly detection system
• Difficulty in real-time information sharing between field and office
• Lack of equipment temperature and anomaly detection system
• Implementing transparent manufacturing processes based on real-time data
• Establishing real-time equipment monitoring and rapid anomaly response system
• Introducing automated production performance management and defect analysis system
• Building graded alarm system to support quick response
• Introducing peak power management and power anomaly alarm system
• Enabling smooth real-time information sharing between field and office
• Enhancing equipment safety through temperature detection and anomaly alarms
• 25% annual production increase per line
• More than double total production volume
• Real-time data analysis and statistical quality control
• Preemptive defect prevention and efficiency assurance
• 90% automation rate
• Minimizing human intervention except for raw material input and packaging
• Strengthened global market responsiveness with mass production and stable quality
적용 사례1
적용 사례2
적용 사례3