摘要
水分在活立木的生长代谢过程中起着至关重要的作用,实时准确的含水率测量对于立木培育及林木经营具有关键指导意义。以无损检测活立木树干含水率为主要目标,设计并实现了一套基于无线声发射传感器网络(WASN)的木材含水率诊断系统。首先WASN节点高速采样树干表皮的声发射信号,接着计算其特征参数并无线传输至网关,然后采用最大相关最小冗余(mRMR)判据从中筛选出最优特征组合,并经由麻雀算法优化的支持向量机(SSA-SVM)建立含水率辨识模型,最后即可进行在线实时的长期监测诊断。分别在水杉、杨树、松树和山毛榉四类树种上进行了实测,结果表明,诊断准确率最低为95.5%,所设计WASN完全具备长期部署观测树木蒸腾作用的功能。
Water content plays a crucial role in the growth and metabolism of standing trees.Real-time and accurate measurement of water content is of key guiding significance for standing tree cultivation and forest management.A wood moisture content diagnosis system based on wireless acoustic emission sensor network(WASN)was designed and implemented for the nondestructive testing of living wood.Firstly,the acoustic emission signals of the trunk epidermis were sampled at high speed by the WASN node,and then the characteristic parameters were calculated and transmitted to the gateway wirelessly.After that,the optimal feature combination was selected by the MRMR criterion,and the water content identification model was established by the support vector machine(SSA-SVM)optimized by the sparrow algorithm.Finally,on-line real-time long-term monitoring and diagnosis can be carried out.The system has been tested on four species of met sequoia,poplar,pine and beech respectively,and the results show that the lowest diagnostic accuracy is 95.5%.The design of WASN was fully capable of long-term observation of tree transpiration.
作者
刘一柏
吴寅
刘文波
刘砚一
Liu Yibai;Wu Yin;Liu Wenbo;Liu Yanyi(College of Information Science and Technology,Nanjing Forestry University,Nanjing 210037,China;College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2022年第2期160-168,共9页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(32171788、31700478)
江苏省政府留学奖学金(JS-2018-043)项目资助
关键词
声发射
特征选取
含水率
支持向量机
麻雀搜索算法
活立木
acoustic emission
feature selection
moisture content
support vector machine(SVM)
sparrow search algorithm(SSA)
standing tree
作者简介
刘一柏,2019年于南京林业大学获学士学位,现为南京林业大学硕士研究生,主要研究方向为林业物联网技术。E⁃mail:1098181715@qq.com;吴寅,2003年于同济大学获得学士学位,2007年于上海理工大学获得硕士学位,2013年于南京航空航天大学获得博士学位,现为南京林业大学副教授,主要研究方向为林业物联网和木材无损检测技术。E⁃mail:wuyin@njfu.edu.cn
