Engineering machinery recognition method and recognition device based on improved MFCC (Mel Frequency Cepstrum Coefficient) sound features
A technology of construction machinery and sound characteristics, applied in the field of construction machinery identification methods and identification devices, can solve the problems of the influence of analysis results, the difficulty of collecting vibration signals, and the identification effect is not particularly ideal, so as to improve the identification effect and reduce the false alarm rate. Effect
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Embodiment 1
[0046] A kind of engineering machinery (such as: hydraulic impact hammer, excavator, cutting machine, electric hammer) identification method based on improved MFCC sound feature comprises:
[0047] The step of building the sound sample library is to obtain the sound of each group of samples containing the construction machinery in advance.
[0048] In the sample sound collection step, the sound array collection equipment is used to collect samples when working at different distances from the construction machinery, and each group of construction machinery sounds is collected by the same equipment at different collection distances.
[0049] The sample sound segmentation step is to divide the sound of each group of engineering machinery into multiple regions according to the set time as a time segment structure.
[0050] The sample feature extraction step is to extract corresponding sample features from the construction machinery sounds in each group of samples, and all sample f...
Embodiment 2
[0076] A kind of construction machinery identification method based on sound feature of the present invention, it comprises:
[0077] The step of building the sample library is to obtain the sound of each group of samples in advance including the sound of the construction machinery at different distances in the near, middle and far distances. In the specific implementation process, the reason why the sound samples under the three different collection distances of near, middle and far are selected is that when the distances from the sound array of construction machinery are different, the characteristics of the collected sound samples are different. If there is a large gap, the sound attenuation is very large at a long distance. Using the sound features of different distances as a template can improve the detection accuracy and accuracy.
[0078] The sample sound segmentation step is to divide the sound of each construction machine in each group of samples into multiple regions...
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