一种火炸药热失控探测方法及信号处理算法
By employing a signal processing algorithm that combines composite band filtering and multi-dimensional feature fusion, the problems of slow response speed, high false alarm rate, and weak anti-interference ability in the detection of fires involving explosives have been solved. This algorithm enables rapid and accurate identification of flames and millisecond-level response, ensuring efficient prevention and control of fires involving explosives.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUBEI INST OF AEROSPACE CHEMOTECHNOLOGY
- Filing Date
- 2025-09-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing fire detection technologies for explosives have slow response speeds, high false alarm rates, and weak anti-interference capabilities, making it difficult to effectively identify the NOx and CHx Oy spectra generated by the combustion of nitrogen-containing solid propellants, resulting in significant hidden dangers in fire prevention and control.
By employing signal processing algorithms that combine composite band screening, Kalman filtering, dynamic background modeling, time-frequency domain analysis, and multi-dimensional feature fusion, and by selecting specific infrared absorption bands and multi-band infrared sensors, combined with Kalman filtering and dynamic background modeling, rapid identification and noise suppression of flame characteristic signals can be achieved, and time-frequency domain feature analysis can be used to improve detection accuracy.
It achieves millisecond-level fire detection, reduces false alarm rate, improves the ability to specifically identify flames, ensures rapid response and high reliability in fire and explosive fires, and protects the safety of operators.
Smart Images
Figure CN121207906B_ABST