Industrial AI
  • Use of intelligent systems in diverse water resource areas
  • Digital transformation with real-time data collection and integrated management

Diagram

AI_Asset
적용 사례1
• Individual equipment management with manual checks and control
• Independent communication systems causing lack of data integration and stability
• Delayed response and poor history management due to manual alarm checking
• Fragmented screen layout limiting integrated management and user convenience
• Time-consuming manual report preparation causing data reliability issues
• Inefficient maintenance and delayed response due to unclear procedures
• Lack of data visualization and long-term data analysis systems
• Integrated monitoring and remote automatic control based on X-SCADA
• Secured integrated network and stability with X-SCADA and X-DAS servers
• Rapid response system with real-time alarms and automated history management
• Enhanced user convenience and management efficiency through unified web-based interface
• Automated report generation simplifying tasks and improving data reliability
• Structured maintenance procedures with remote and onsite response processes
• Real-time data visualization and long-term data analysis capability
• Real-time monitoring of equipment and resources
• Faster processing via automation and remote control
• Reduced wait times, increased container throughput
• Real-time safety monitoring of operators and maintenance activities
• Access control and rapid response to external threats
• Predictive maintenance and anomaly detection via collected big data
• Reduced downtime and maintenance costs
• Optimization of energy and resource usage
• Optimization through integration of big data and AI
• Strengthened connectivity across the supply chain
적용 사례1
적용 사례2
적용 사례3