A fire hazard intelligent monitoring and early warning method and system based on multi-modal data
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DALIAN ERIC MECHANICAL & ELECTRICAL EQUIP CO LTD
- Filing Date
- 2026-06-09
- Publication Date
- 2026-07-10
AI Technical Summary
Existing electrical fire hazard early warning systems struggle to achieve low false alarm rates, timely and reliable judgment during the early stages of fault development. Smoke detectors have delayed responses, point-type heat detectors have limited coverage, and single electrical parameter monitoring is susceptible to interference and has a high false alarm rate.
By monitoring multimodal data, electromagnetic radiation signals are collected, and anomaly detectors are used to calculate Mahalanobis distance to identify abnormal radiation events, classify radiation sources, and perform spatial registration by combining infrared thermal images and visible light images to trigger graded alarms.
It improves the timeliness and reliability of early warnings during the early stages of fire hazard development, reduces false alarm rates, and enables early and accurate identification of fire hazards.
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