AI-Powered Leak Detection System for Industrial Plants
Intelligent Pipeline Management for Power Plants and Industrial Facilities
An AI- and IoT-powered solution that provides real-time leak monitoring and precise leak detection, even in high-noise environments.
An AI- and IoT-powered solution that provides real-time leak monitoring and precise leak detection, even in high-noise environments.
Reducing Operational Risks
Prevents water supply disruptions and fire protection system failures caused by aging pipelines.
Data-Driven Leak Management
Automates leak management beyond experience-based inspection methods.
Built for High-Noise Environments
Accurately detects leak sounds amid noise from pumps, boilers, and other equipment.
Security-Compliant Architecture
Meets Korean national information security requirements for use in critical facilities.
Product Features
01
Real-Time Multi-Sensing
Continuously collects and remotely transmits pipeline data, including water pressure and leak sounds, through IoT sensors.
02
Three-Stage Precision Diagnosis
Applies stage-specific AI models for leak detection, suspected area identification, and pinpoint leak localization.
03
AI Noise Cancellation
Filters out interference from surrounding equipment to accurately isolate leak sounds.
04
Integrated Monitoring Platform
Provides real-time leak status and instant alerts through web and mobile dashboards.
Key Benefits
Dramatically Faster Detection
Reduces leak detection time from 24 hours to 10 minutes and pinpointing time from 72 hours to 1 hour.
High Detection Accuracy
Achieves over 95% AI and leak detection accuracy, minimizing false alarms.
Autoencoder-Based Unsupervised Learning
Learns normal operating patterns to identify subtle leaks even in complex, noisy environments.
Improved Maintenance Efficiency
Rapid response reduces pump maintenance from six times a year to once, lowering operating costs.
Plant AI Leak Detection System Workflow
Step 1
Real-Time Acoustic and Data Collection
IoT sensors continuously collect leak sounds and water pressure data from pipelines.
Step 2
AI-Based Anomaly Analysis
AI automatically detects leak patterns and abnormal signals.
Step 3
Real-Time Monitoring and Operational Support
Instant alerts enable operators to identify suspected leak areas and risk levels and respond promptly.
