The invention relates to an unmanned aerial vehicle device for tunnel inner wall cavity detection. The unmanned aerial vehicle device comprises an aircraft; the at least one sound wave sampling device is fixed on the top and the side surface of the aircraft and is used for knocking the inner wall of the tunnel to generate a sound signal and collecting the sound signal; and the processor is fixed on the aircraft, is in signal connection with the sound wave collector, and is used for processing the sound signal and judging whether a hole exists in the knocking position or not according to the sound signal. The device can be used for sound collection on the left side, the right side and the top of the inner wall of a tunnel, and traditional manual knocking operation can be replaced; and the collected sound is converted into a spectrogram, and the void probability is analyzed by using a deep learning method.
本发明涉及一种用于隧道内壁空洞检测的无人机装置,包括:飞行器;至少一个声波采样装置,固定于所述飞行器的顶部和侧面,用于对隧道内壁进行敲击以产生声音信号,并采集所述声音信号;处理器,固定于所述飞行器,并与所述声波采集器信号连接,用于处理所述声音信号,根据所述声音信号判断敲击位置是否存在空洞。本发明能够用于隧道内壁左右两侧及顶部的进行声音采集,能够替代传统人工敲击作业;并将采集的声音转换成声谱图,利用深度学习的方法分析出空洞概率。
Unmanned aerial vehicle device for tunnel inner wall cavity detection
一种用于隧道内壁空洞检测的无人机装置
2024-05-24
Patent
Elektronische Ressource
Chinesisch
IPC: | G01N Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften , INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES / B64U / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V |
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