South KoreaEnergy and utilities2025 – ongoingKorea Midland Power (KOMIPO)
AI underground pipe leak detection
KOMIPO reported KRW 1.3 billion in annual savings from AI pipe leak detection
Problem
Complex underground pipe networks made visual inspection difficult. Existing methods struggled to detect small leaks.
Approach
KOMIPO and WI.Plat developed a leak management system combining IoT sensors with AI analysis. Following field demonstrations, they agreed in December 2025 to develop the technology further for other industrial plants.
Results
Takeaway
The reported savings came from detecting small leaks in existing pipe networks. Wider industrial deployment remained a subsequent expansion plan.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
The report described KOMIPO and WI.Plat's completed leak detection demonstrations and agreement to expand the system. It reported detection success of at least 95% and annual savings of KRW 1.3 billion.
Full details are in the original sources.