Automatic identification method, system and device for leaked gas

The invention discloses an automatic identification method, system and device for leaked gas. The automatic identification method comprises the steps: firstly carrying out the training of various types of sample signals through an RNN recurrent neural network and a CNN convolution neural network, and obtaining a classification model; secondly, inputting the to-be-identified sample signal into a classification model to obtain a probability vector; and then selecting the gas type corresponding to the minimum value from the probability vector as a classification and identification result, thereby realizing accurate identification of main components of outdoor gas leakage. 本发明公开一种泄漏气体自动识别方法、系统及装置，本发明首先利用RNN递归神经网络和CNN卷积神经网络对所述各类样本信号进行训练，获得分类模型；其次将所述待识别样本信号输入分类模型，获得概率向量；然后从所述概率向量中选取最小值对应的气体类别作为分类识别结果，实现了准确识别户外发生的气体泄漏的主要成分。