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基于超声射频的植物茎体水分无损检测方法研究

吕丹桔 施心陵 董易 王跃民 王霞 王超

农业机械学报2017,Vol.48Issue(10):195-201,7.
农业机械学报2017,Vol.48Issue(10):195-201,7.DOI:10.6041/j.issn.1000-1298.2017.10.024

基于超声射频的植物茎体水分无损检测方法研究

Non-destructive Measurement of Plant Stem Water Content Based on Ultrasonic Radio Frequency

吕丹桔 1施心陵 2董易 1王跃民 1王霞 1王超1

作者信息

  • 1. 云南大学信息学院,昆明650091
  • 2. 西南林业大学大数据与智能工程学院,昆明650224
  • 折叠

摘要

Abstract

Water is directly or indirectly involved in the activities of plant physiology.One role of stems is water storage,the other is water transmission channel.Detection of plant stem water by non-destructive online method becomes one of the hot spots in the study of plant water physiological activity.A real-time online non-destructive detection system designed by LabVIEW was proposed based on ultrasonic echoes,which was composed by ultrasonic probe,ultrasonic RF transmitter receiver,data acquisition instrument and portable computer.The simulation model was built by the system with various ultrasonic velocities of different organic solutions to represent the water content of plant stems.The correlation between the changes of water content and that of ultrasonic velocity was analyzed on a set of poplar cutting samples in the process of water absorption of those samples.The average determination coefficient reached about 0.98.For 24 h detection on stem of a living Michelia alba,the highest ultrasonic velocity appeared at 14:00,and the lowest appeared at 22:00.The results showed the variations of ultrasonic velocity accorded with plant physiological characteristic.Meanwhile,the variations of velocities in radial and axial directions and in different kinds of plant stem were detected by the system,which provided a detection instrument with structural differences for the research on plant stem water physiological characteristics.

关键词

茎体水分/超声/无损检测

Key words

stem water content/ultrasonic/non-destructive detection

分类

信息技术与安全科学

引用本文复制引用

吕丹桔,施心陵,董易,王跃民,王霞,王超..基于超声射频的植物茎体水分无损检测方法研究[J].农业机械学报,2017,48(10):195-201,7.

基金项目

国家自然科学基金项目(61661050)和昆明市林业信息工程技术研究中心重点项目(2015) (61661050)

农业机械学报

OA北大核心CSCDCSTPCD

1000-1298

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