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基于WSN的声表面波微压力传感器的研究
引用本文:李济同,李媛媛,王俊,张石晶.基于WSN的声表面波微压力传感器的研究[J].测控技术,2018,37(5):92-96.
作者姓名:李济同  李媛媛  王俊  张石晶
作者单位:上海工程技术大学电子电气工程学院,上海,201620
摘    要:无线传感器网络是一种新型综合智能信息系统,它在实现数据采集、信息感知、智能控制方面展现了较高的应用价值.无线传感器网络技术在灵敏性、容错性、可扩展性和连通性等方面的要求决定了它面临着许多制约因素和挑战性问题,亟待解决和完善.在无线传感器网络原理的基础上,对传感器节点中的微压力传感器进行研究.通过分析不同压电材料的性能,选取基片的材料,并使用有限元分析法对基片结构进行受力分析,确定边界条件,基于最小二乘法建立线性回归数学模型并进行曲线拟合,得出频率与压力的关系.该研究能够模拟无线传感网络节点中数据的采集,对无线传感网络的数据优化、算法优化有重要的意义.

关 键 词:无线传感器网络  声表面波  微压力传感器  有限元分析  wireless  sensor  network  (WSN)  SAW  micro  force  sensors  finite  element  analysis

Research on SAW Micro Pressure Sensor Based on WSN
LI Ji-tong,LI Yuan-yuan,WANG Jun,ZHANG Shi-jing.Research on SAW Micro Pressure Sensor Based on WSN[J].Measurement & Control Technology,2018,37(5):92-96.
Authors:LI Ji-tong  LI Yuan-yuan  WANG Jun  ZHANG Shi-jing
Abstract:Wireless sensor network (WSN) has a high application value as a new integrated intelligent information system in the realization of data collection,information perception and intelligent control.The requirements of WSN technology for sensitivity,fault tolerance,scalability and connectivity are facing many constraints and challenges,which need to be solved and improved.The micro pressure sensor in sensor nodes was investigated based on the principle of WSN.The material of the substrate was selected by analyzing the performance of different piezoelectric materials,and the finite element method was used to analyze the stress about the structure of substrate,and then to determine the boundary condition.The linear regression mathematical model was established based on the principle of least squares method,and the curve fitting was carried out.The relationship between frequency and pressure was obtained.This research can simulate the data acquisition of WSN nodes,which has important significance for the data optimization and algorithm optimization of WSN.
Keywords:wireless sensor network (WSN)  SAW  micro force sensors  finite element analysis
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