韩安太, 何 勇, 李剑锋, 陈志强, 孙延伟. 基于无线传感器网络的粮虫声信号采集系统设计[J]. 农业工程学报, 2010, 26(6): 181-187.
    引用本文: 韩安太, 何 勇, 李剑锋, 陈志强, 孙延伟. 基于无线传感器网络的粮虫声信号采集系统设计[J]. 农业工程学报, 2010, 26(6): 181-187.
    Design of acoustic signal acquisition system of stored grain pests based on wireless sensor networks[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(6): 181-187.
    Citation: Design of acoustic signal acquisition system of stored grain pests based on wireless sensor networks[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(6): 181-187.

    基于无线传感器网络的粮虫声信号采集系统设计

    Design of acoustic signal acquisition system of stored grain pests based on wireless sensor networks

    • 摘要: 为了解决现有储粮害虫声信号采集系统存在的扩展性差、智能化程度不高、性价比较低、灵活性不强、数据传输能力较弱等问题,该文分析了现有储粮害虫声信号采集系统存在的局限性,在此基础上,利用无线传感器网络和压缩感知技术,设计了一种新型储粮害虫声信号采集系统,给出了系统结构和软硬件实现方法,并将其用于采集储粮罐内赤拟谷盗成虫的爬行声。试验结果表明,系统设计方案合理可行,且由于使用了压缩感知技术,在采样频率为10 KHz的情况下,可实现20个采集节点所产生的声信号原始采样数据的远程、实时、可靠无线传输。该研究为无线传感器网络在储粮害虫防治中的应用做出了探索。

       

      Abstract: In order to solve the problems of existing acoustic signal acquisition system of stored grain pests, which were weak at expansibility, intelligent level, price performance ratio, flexibility and data transmission ability,and the limitations was analyzed. Based on the above analysis, the new type acoustic signal acquisition system of stored grain pests was designed by using the wireless sensor network and compressed sensing techniques, then the architecture, hardware and software design approach of the proposed system were presented in detail. The proposed system was applied in sampling the crawl acoustic signal of tribolium castaneum herbst adults in grain barrel. The experimental results showed that the design scheme of the proposed system was rational, and the remote, real-time and reliable wireless transmission for the raw measurements of acoustic signal from 20 data acquisition nodes was implemented with the sampling frequency at 10 KHz through use of compressed sensing technology. This research contribute to the exploration on the application of wireless sensor networks in the prevention and control of stored grain pests.

       

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