The invention discloses a tunnel traffic safety warning method and system based on acoustic assistance. The method comprises the following steps: acquiring a sound signal in a tunnel; extracting characteristic values of the sound signals in the tunnel; inputting the extracted feature value into a pre-trained accident type identification model to obtain an accident type, wherein the accident type identification model is obtained by training a deep neural network based on collected historical sound signal data in a tunnel; and sending out warning information according to the obtained accident type. According to the invention, the accident type can be identified by using the pre-trained accident type identification model according to the collected sound signals in the tunnel, so that the situation in the tunnel can be accurately mastered; accident types can be timely identified and warned, passing vehicles are reminded to pay attention, and traffic safety is guaranteed.
本发明公开了一种基于声学辅助的隧道交通安全警示方法、系统,其中方法包括:获取隧道内声音信号;提取隧道内声音信号的特征值;将提取的特征值输入预先训练好的事故类型识别模型,得到事故类型;其中,所述事故类型识别模型基于采集的历史隧道内声音信号数据对深度神经网络进行训练得到;根据得到的事故类型发出警示信息。本发明可根据采集的隧道内声音信号利用预先训练好的事故类型识别模型识别出事故类型,便于准确掌握隧道内的情况;可及时识别事故类型并进行警示,已提醒来往车辆注意,保证交通安全。
Tunnel traffic safety warning method and system based on acoustic assistance
一种基于声学辅助的隧道交通安全警示方法、系统
2021-06-11
Patent
Electronic Resource
Chinese
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