摘要
针对纳米时栅位移传感器研制中数据处理与分析愈加复杂、繁琐和重要的现状,提出一种实用高效的、基于C#的上位机设计,主要功能包括数据采集、图像识别激光干涉仪数值并进行标定、快速傅立叶变换(FFT)分析以及建立自适应坐标算法使数据可视化。实验结果表明,时栅误差峰峰值为700nm,主要为二次误差和四次误差。该系统算法准确、人机交互方便,可将相关数据存入数据库,并且能稳定正常工作,为纳米时栅的进一步研究提供了保证。
Aiming at the ever-improving complexity and importance of the Nano Time Grating Displacement Sensor data processing and analysis,this paper proposed a practical,efficient host computer design based on C#.The main functions include data collection,image recognition and calibration of the laser interferometer numerical value,the fast Fourier transform (FFT) analysis,and an adaptive algorithm to visualize the data of the coordinate system.The experimental results show that the peak to peak value of time grating is±700nm,which is mainly second order error and fourth order error.The system algorithm is accurate,and the interpersonal exchange is easy,and could restore the related data in the database.The system can work stably and provide a guarantee for the further study of nanometers time grating.
作者
张静
张瀚潇
索龙博
吴玉梅
ZHANG Jing;ZHANG Hanxiao;SUO Longbo;WU Yumei(Engineering Research Center of Mechanical Testing Technology and Equipment,Ministry of Education,Chongqing Key Laboratory of Time-Grating Sensing and Advanced Testing Technology,Chongqing University of Technology,Chongqing 400054)
出处
《现代制造技术与装备》
2019年第12期50-54,共5页
Modern Manufacturing Technology and Equipment
基金
国家自然科学基金重点项目(51435002)
重庆市科委前沿与应用基础研究项目(cstc2014jcyjA70003)
关键词
纳米时栅
C#
图像识别
快速傅立叶变换
自适应坐标系
nanometer time grating
image recognition
Fast Fourier Transform(FFT) analysis
adaptive algorithm