余礼根,李长缨,陈立平,薛绪掌,卫如雪,郭文忠.番茄声发射信号功率谱特征分析[J].农业机械学报,2017,48(10):189-194.
YU Ligen,LI Changying,CHEN Liping,XUE Xuzhang,WEI Ruxue,GUO Wenzhong.Power Spectrum Characteristics Analysis for Acoustic Emissions Signal of Tomato[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(10):189-194.
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番茄声发射信号功率谱特征分析   [下载全文]
Power Spectrum Characteristics Analysis for Acoustic Emissions Signal of Tomato   [Download Pdf][in English]
投稿时间:2017-06-22  
DOI:10.6041/j.issn.1000-1298.2017.10.023
中文关键词:  番茄  声发射  功率谱  土壤含水率  共振峰
基金项目:科技部星火计划重点项目(2015GA600005)和北京市农林科学院设施园艺科技创新团队项目(JNKST201615)
作者单位
余礼根 北京农业智能装备技术研究中心 
李长缨 佐治亚大学 
陈立平 北京农业智能装备技术研究中心 
薛绪掌 北京农业智能装备技术研究中心 
卫如雪 北京农业智能装备技术研究中心 
郭文忠 北京农业智能装备技术研究中心 
中文摘要:采用番茄品种“佳丽14”为试材,采集盆栽番茄声发射信号进行短时傅里叶变换与频谱分析,获取番茄在水分亏缺条件下声发射信号、土壤含水率及光合特征的连续变化规律及相互关系。依据土壤含水率变化将试验过程划分为DAY1、DAY2、DAY3和DAY4共4个阶段。试验结果表明,番茄声发射信号发生频次呈现出规律性,高峰期发生时间为每天10:00—16:00,幅值分布在40~60dB;番茄声发射信号的主频和中心频率分布于250~375kHz,随着土壤含水率的降低,其主频与中心频率无显著变化;DAY1的第1共振峰频率分布在0~125kHz,第2共振峰、第3共振峰位于250~375kHz,DAY2、DAY3和DAY4的第1、第2、第3共振峰均分布在250~375kHz;从共振峰幅值上看,DAY1的排列顺序为第3、第2、第1共振峰;DAY2和DAY4的次序与之相反。番茄叶片净光合速率变化呈现单峰曲线,在中午12:00出现峰值,番茄的胞间CO2浓度呈现先增后减的变化趋势。综合分析番茄声发射信号、土壤含水率和光合特征参数变化可知,番茄灌溉初期与灌水后期的声发射信号共振峰频率、幅值的变化规律不同,其与水分亏缺程度密切相关,与番茄净光合速率、胞间CO2浓度和光合作用具有相关性。通过番茄声发射信号功率谱特征分析可为番茄声发射特性研究提供一种分析方法。
YU Ligen  LI Changying  CHEN Liping  XUE Xuzhang  WEI Ruxue  GUO Wenzhong
Beijing Research Center of Intelligent Equipment for Agriculture,University of Georgia,Beijing Research Center of Intelligent Equipment for Agriculture,Beijing Research Center of Intelligent Equipment for Agriculture,Beijing Research Center of Intelligent Equipment for Agriculture and Beijing Research Center of Intelligent Equipment for Agriculture
Key Words:tomato  acoustic emission  power spectrum  soil water contents  resonance peak
Abstract:Taking tomato variety of ‘Jiali14’ as experimental materials, the relationship among the acoustic emissions signal, soil water contents and photosynthetic characteristic parameters of tomato under water deficit was analyzed. The short-time Fourier transform and power spectrum analysis computed by LabVIEW 2014 were employed to examine the spectrum characteristics of the collected AE signals. The whole process of water deficit was approximately divided into four stages: DAY1, DAY2, DAY3 and DAY4 according to the soil water contents. The results showed that characteristics for AEs during the water deficit period were presented by a regular change pattern, while the peak time was 10:00—16:00 and the amplitude was 40~60dB. Power spectrum for acoustic emissions of tomato was a phenomenon observed in characteristic parameters with dominant frequency (fp), central frequency (fa) and formants. The frequencies of fp, fa and the second, third resonance peaks of DAY1 were distributed at 250~375kHz, where the first resonance peak of DAY1 was distributed mainly at 0~125kHz. The first, second and third resonance peaks of DAY2, DAY3 and DAY4 were all centralized at 250~375kHz. From the amplitude of resonance peaks, the arrangement of DAY1 was the third, second, and first formant, but the order of formants for DAY2 and DAY4 were opposite of DAY1. A single peak curve was existed with net photosynthetic rate of tomato, and the peak value Pn occurred at 12:00, whereas the intercellular CO2 concentrations were increased firstly and then decreased with the decrease of soil water contents. Although the changes of amplitude and frequencies of resonance peaks for acoustic emissions of tomato in initial irrigation stage and late irrigation stage were different, a good correspondence between AE outcomes and experimental observations of the net photosynthetic rate, intercellular CO2 concentrations and photosynthetic performances was obtained and discussed. This result may provide a new monitoring method for acoustic emissions characteristics of water deficit through power spectrum analysis.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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