Electrical fire early warning system and method based on multispectral fusion and ai recognition
The electrical fire early warning system, which combines multispectral fusion and AI recognition, simultaneously collects signals from multiple sources and performs multimodal fusion processing. This solves the problems of lag and false alarms/missed alarms in electrical fire detection, enabling early and accurate fire warnings and improving the safety and reliability of electrical equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LINGDONG NUCLEAR POWER
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electrical fire detection technologies suffer from delayed early warning, false alarms, or missed alarms, and cannot effectively distinguish between real fires and environmental interference, failing to meet the needs of high-reliability locations for very early identification and trend prediction.
An electrical fire early warning system employing multispectral fusion and AI recognition simultaneously collects trace pyrolysis gas concentration signals, two-dimensional temperature field distribution signals, and visible light image signals through a sensing module. An edge processing module extracts features, and a platform decision module performs multimodal time-series fusion processing to generate a comprehensive risk score and a graded early warning signal.
It enables very early detection and accurate warning of electrical fires, significantly reducing the risk of false alarms and missed alarms, and improving the safety and reliability of electrical equipment operation.
Smart Images
Figure CN122416618A_ABST