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Scientia Silvae Sinicae ›› 2020, Vol. 56 ›› Issue (12): 91-100.doi: 10.11707/j.1001-7488.20201211

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Characteristics and Identification of Wavelet Packet of Wood Boring Vibration by Three Longicorn Larvae

Shenghuang Liu1,Jiangtian Yang1,Jianxin Cui2,*   

  1. 1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University Beijing 100044
    2. Breeding Center of Natural Insect Enemies for Pests, Henan Institute of Science and Technology Xinxiang 453003
  • Received:2019-05-22 Online:2020-12-25 Published:2021-01-22
  • Contact: Jianxin Cui

Abstract:

Objective: Since the larvae of forest trunk borers live inside the trunk, it is difficult to identify the species. In order to quickly and accurately recognize the species of longicorn larvae and carry out biological control, a novel method was proposed to detect and analyze the vibration signals of longicorn larvae feeding in trees. With the method, the behavioral characteristics extraction and species identification of longicorn larvae were performed by means of wood boring vibration signal processing. Method: The vibration signals were obtained when the longicorn larvae were moving in the feeding channel. The signal waveform and relative amplitude were analyzed, then the time domain characteristics, such as waveform and vibration duration were extracted. Firstly, variational mode decomposition (VMD) was used for signal denoising, and then the denoised signal was decomposed by wavelet packet. The energy of each node in frequency domain was calculated. The characteristic frequency and energy ratio of each node were employed as the frequency domain characteristics. The time-domain and frequency-domain features were used to identify the longicorn species. Result: The duration of Batocera horsfieldi boring wood vibration signal was about 11.1 ms, and there was a distinct concave in middle of the waveform. The characteristic frequency was about 550 Hz, and the energy of wavelet packet was mainly distributed at 2, 3, 4 nodes, which is different from that of Anoplophora glabripennis. The duration of Anoplophora glabripennis boring wood vibration signal was about 8.2 ms. There were two concaves in the middle and real of the waveform separately. Compared with those of Batocera horsfieldi, there was no 550 Hz frequency component, but a 2 500 Hz component in the spectrum of A. glabripennis boring wood vibration signal. The duration time of Aromia bungii (in Prunus cerasifera) boring wood vibration was about 6.4 ms without concave in the waveform. Two frequency components above 2 000 Hz were found in spectrum. The vibration duration of A. bungii (in Malus micromalus) boring wood was about 19.8 ms. There was no concave but a convex in the rear of the waveform. Low frequency component near 100 Hz was found in the spectrum. Conclusion: The longicorn larvae can be detected and identified by wood boring vibration signal analysis. It is of great importance to early recognize trunk borer and select appropriate control measures.

Key words: longhorn, larva, wood boring vibration signal, wavelet packet decomposition, variational mode decomposition

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