Research on the method of identifying false alarms in coal mine gas sensing signals
Studying the laws and diagnostic methods of false alarms in coal mine safety monitoring sen-sors,forming a set of intelligent recognition theory and disposal methods for false alarm signals,is of great theoretical and practical significance for improving the stability and reliability of coal mine safety production monitoring systems and ensuring the continuity of coal mine production.This article pro-poses a sensor false alarm recognition method based on wavelet denoising and DFT spectral transfor-mation.Data collection and effectiveness verification are conducted on a self built safety monitoring system simulation platform,and three common false alarm signals,namely pulse type,constant devi-ation type,and jump type,are diagnosed and reconstructed.Research has found that:the sensor false alarm recognition method based on wavelet denoising and DFT spectral transformation proposed in this article achieves intelligent and efficient recognition of false alarm signals,providing necessary bas-ic guarantees for coal mine safety production.
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