CLP Group
Grid-V AI grid hazard monitoring
CLP's Grid-V monitored approximately 3,000 sensors and cameras to detect grid hazards
Problem
Fires and nearby equipment could threaten Hong Kong's electricity infrastructure. Engineering teams needed early warnings across a geographically dispersed network.
Approach
CLP Power partnered with local network operators to develop Grid-V. AI-assisted analysis monitored live signals from sensors and cameras and alerted staff to potential hazards. During a January 2025 hill fire, the system tracked the fire's progress to support protective measures.
Results
Takeaway
Grid-V supplied alerts and incident information for engineering teams. CLP attributed uninterrupted supply during the fire to the response supported by that information.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Partner co-development
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
CLP described Grid-V monitoring approximately 3,000 sensors and cameras. It reported a crane warning and support for maintaining electricity supply during a January 2025 hill fire.
Full details are in the original sources.