Quick access to essential system features, including the dashboard for an
overview of operations, network settings for managing connectivity, system logs for tracking
activities.
Autonomous Operation & Control Technology for Wastewater Treatment Facilities
Implements an AIoT-based autonomous operation system for the continuous 24-hour operation of Zero Liquid Discharge (ZLD) facilities treating high-temperature and highly toxic wastewater.
Monitors and analyzes operating conditions in real time and automatically applies optimal control commands to ensure stable facility operation.
Provides a smart environmental facility solution that reduces energy consumption and operating costs while improving environmental safety.
AIoT-Based Data Center Cooling Water Supply Control System
Develops an integrated supply control platform for clean cooling water delivery and optimal heat exchanger operation in underground data centers.
Uses AIoT technology to monitor the quality of treated wastewater and automatically control cooling system efficiency and energy consumption.
Integrates facility status, flow rate, and heat exchange performance management to improve both system reliability and operational efficiency.
AI Precision Diagnostic System for Environmental Facilities Using Isotope Tracers
Implements a diagnostic system that uses isotope tracers to precisely analyze internal flow patterns and retention times in aging environmental facilities.
Integrates high-speed AI SCADA, detectors, and measurement equipment to quantitatively assess facility conditions and identify abnormal patterns.
Provides an advanced diagnostic solution that supports operational optimization, including digester flow analysis and improved digestion efficiency.
AI-Based Rapid Harmful Cyanobacteria Counting System
Identifies and measures the population and distribution of harmful cyanobacteria in real time by combining AI image recognition with sensor data.
Complements conventional water quality analysis methods by enabling faster and more accurate spread assessment and early warning.
Designed for deployment on drones and field devices, enabling the monitoring and prevention of algal blooms in stagnant water bodies.
Autonomous Energy Control Module for Modular Microgrids (EMS)
Implements an Energy Management System (EMS) for real-time energy balancing and autonomous recovery across distributed energy resources, Energy Storage Systems (ESS), and electrical loads.
Uses AI to analyze energy data collected from sensors and IoT devices, optimizing energy generation, storage, and consumption.
Provides a control platform that maximizes energy efficiency, ensures a stable power supply, and reduces carbon emissions.
AIoT-Based Radioactive Decontamination Equipment & Operation System
Configures modular decontamination equipment for rapid deployment at radioactive material handling sites and accident locations.
Combines a selective adsorption treatment module with a hydrate module to support contaminant removal and safe operation.
Remotely monitors field conditions through an AIoT-based operation control system and provides centralized management of the decontamination process.
DRAG
