Industrial AI
  • Systematic and efficient management of energy usage in industrial sites and buildings
  • BEMS and FEMS for energy cost reduction and improved operational efficiency

Diagram

AI_Asset
적용 사례1
• Lack of system for real-time monitoring or integrated management of electricity usage data
• Difficulty in rapid response to abnormalities in wastewater treatment processes
• Inefficiency due to manual reading of power and wastewater usage data
• Difficulty in instantly identifying wastewater discharge exceeding legal standards
• Lack of data analysis system for power consumption optimization and energy saving
• Insufficient real-time monitoring and anomaly alert system for wastewater treatment equipment
• Reduced operational efficiency due to absence of a platform for integrated management of energy and wastewater data
• Increased energy management efficiency through real-time power consumption monitoring system
• Rapid response enabled by real-time monitoring and anomaly alert system in wastewater treatment processes
• Improved accuracy of power and wastewater management through automated data collection
• Real-time wastewater data management and alarm functions for legal compliance and threshold exceedance
• Introduction of AI-based power analysis and optimization solutions to achieve energy-saving goals
• Centralized management of energy and wastewater data through integrated management platform
• Detailed analysis of energy usage per process
• Precise control of power use during peak hours to maximize cost efficiency
• Intuitive visualization of voltage, current, backflow, and equipment status
• Early detection and prevention of power imbalance, overload, and outages
• Data-driven decisions via energy usage and data analysis
• Compliance with international standards and regulations (e.g., carbon tax, mandatory energy use)
• Immediate response to DR events through real-time power monitoring and control
• Maximizing electricity bill savings
적용 사례1
적용 사례2
적용 사례3