基于激光技术的光电无损检测系统
|
摘要
研究光电无损检测问题,在较为复杂的情况下,由于当前检测技术的不成熟,造成系统运行时间较长、相对误差率较高等问题。为了解决上述问题,设计了一种基于激光技术的光电无损检测系统。光电无损检测系统的硬件设计主要包括:激光传感器、核心电路的设计、驱动器、数据转换模块、通信模块。软件部分主要是通过激光传感器对光电信号进行动态扫描,利用图像数字转换模块对输出信号进行信号调理,采用A/D转换对图像数据进行高速处理,删除冗余信号。在LabVIEW平台下,进行光电无损检测系统软件的编制,引用模块化的思想,构建相应的模块,完成数据的采集、处理、分析以及存储,满足光电无损检测以及定位。实验结果表明,本文系统具有较好的应用前景。
Studying the problem of photoelectric non-destructive testing,in the more complicated cases,due to the immature detection technology,the system haslong running time and ahigh relative error rate. In order to solve the problems above,a photoelectric non-destructive testing system based on laser technology is designed. The hardware design of photoelectric non-destructive testing system mainly includes: laser sensor,core circuit design,driver,data conversion module and communication module. The software part mainly scans the photoelectric signal dynamically bysensor,and uses the image digital conversion module to perform signal conditioning on the output signal,and uses A/D conversion to perform high-speed processing on the image data to delete the redundant signal. In the LabVIEW platform,the software of the photoelectric non-destructive testing system is compiled,and the modular idea is used to construct the corresponding modules to complete the data collection,processing,analysis and storage to meet the photoelectric non-destructive testing and positioning. The experimental results show that the designed system has a good application prospect.
Studying the problem of photoelectric non-destructive testing,in the more complicated cases,due to the immature detection technology,the system haslong running time and ahigh relative error rate. In order to solve the problems above,a photoelectric non-destructive testing system based on laser technology is designed. The hardware design of photoelectric non-destructive testing system mainly includes: laser sensor,core circuit design,driver,data conversion module and communication module. The software part mainly scans the photoelectric signal dynamically bysensor,and uses the image digital conversion module to perform signal conditioning on the output signal,and uses A/D conversion to perform high-speed processing on the image data to delete the redundant signal. In the LabVIEW platform,the software of the photoelectric non-destructive testing system is compiled,and the modular idea is used to construct the corresponding modules to complete the data collection,processing,analysis and storage to meet the photoelectric non-destructive testing and positioning. The experimental results show that the designed system has a good application prospect.
引文
[1]曹建树,曹振,赵龙飞,等.激光超声管道表面裂纹检测技术[J].光电工程,2016,43(3):1-6.
[2]张成云,刘佐濂,程朗,等.微米级圆孔孔径的光电检测[J].大学物理,2017,36(11):38-40.
[3]裴翠祥,弋东驰,刘文文,等.PBX内部缺陷激光超声无损检测数值模拟[J].含能材料,2017,25(10):822-828.
[4]周宇,王天一,李文军,等.太赫兹无损检测可视化系统的设计[J].激光技术,2017,41(3):351-355.
[5]李文洁,赵读亮,林颖,等.高灵敏紫外激光脉冲能量在线检测系统设计[J].红外与激光工程,2017,002(12):130-135.
[6]何宁,骆湘红,赵中华,等.基于光纤耦合与相干探测的无损检测方法[J].光学学报,2017,37(8):193-200.
[7]何铁,郑普,安力,等.一种基于快中子的化学战剂无损检测技术[J].强激光与粒子束,2016,28(5):90-94.
[8]梁红勤,刘彬,陈佳,等.基于双芯光子晶体光纤的高灵敏度椭圆侧芯表面等离子体共振折射率传感特性[J].激光与光电子学进展,2017,54(9):99-105.
[9]孙广开,曲道明,周正干.机器人辅助激光超声检测系统及参量匹配方法[J].仪器仪表学报,2017,38(8):1961-1969.
[10]殷安民,杨荃,何飞,等.基于激光超声的低碳钢平均晶粒尺寸无损检测方法[J].机械工程学报,2017,53(2):11-19.
[11]江海军,陈力.激光扫描红外热波成像在膜厚测量中的应用[J].红外技术,2017,39(12):1144-1148.
[12]王聪,杨晶,潘秀娟,等.基于光参量放大相位共轭特性的图像修复与增强[J].物理学报,2017,66(10):123-129.
[13]李茜茜,赵金峰,潘永东.基于激光超声场检测的材料常数测量方法[J].实验力学,2016,31(3):352-360.
[14]翟晨,彭彦昆,赵娟,等.农畜产品安全无损检测扫描式拉曼光谱成像系统设计[J].农业机械学报,2016,47(12):279-284.
[15]陈如清,钱苏翔,王庆泉.有机磷农药残留快速定量光电检测系统的设计[J].江苏农业科学,2018,46(11):179-182.
[16]孙广开,曲道明,周正干.机器人辅助激光超声检测系统的设计与实现[J].压电与声光,2017,39(5):780-783.
[2]张成云,刘佐濂,程朗,等.微米级圆孔孔径的光电检测[J].大学物理,2017,36(11):38-40.
[3]裴翠祥,弋东驰,刘文文,等.PBX内部缺陷激光超声无损检测数值模拟[J].含能材料,2017,25(10):822-828.
[4]周宇,王天一,李文军,等.太赫兹无损检测可视化系统的设计[J].激光技术,2017,41(3):351-355.
[5]李文洁,赵读亮,林颖,等.高灵敏紫外激光脉冲能量在线检测系统设计[J].红外与激光工程,2017,002(12):130-135.
[6]何宁,骆湘红,赵中华,等.基于光纤耦合与相干探测的无损检测方法[J].光学学报,2017,37(8):193-200.
[7]何铁,郑普,安力,等.一种基于快中子的化学战剂无损检测技术[J].强激光与粒子束,2016,28(5):90-94.
[8]梁红勤,刘彬,陈佳,等.基于双芯光子晶体光纤的高灵敏度椭圆侧芯表面等离子体共振折射率传感特性[J].激光与光电子学进展,2017,54(9):99-105.
[9]孙广开,曲道明,周正干.机器人辅助激光超声检测系统及参量匹配方法[J].仪器仪表学报,2017,38(8):1961-1969.
[10]殷安民,杨荃,何飞,等.基于激光超声的低碳钢平均晶粒尺寸无损检测方法[J].机械工程学报,2017,53(2):11-19.
[11]江海军,陈力.激光扫描红外热波成像在膜厚测量中的应用[J].红外技术,2017,39(12):1144-1148.
[12]王聪,杨晶,潘秀娟,等.基于光参量放大相位共轭特性的图像修复与增强[J].物理学报,2017,66(10):123-129.
[13]李茜茜,赵金峰,潘永东.基于激光超声场检测的材料常数测量方法[J].实验力学,2016,31(3):352-360.
[14]翟晨,彭彦昆,赵娟,等.农畜产品安全无损检测扫描式拉曼光谱成像系统设计[J].农业机械学报,2016,47(12):279-284.
[15]陈如清,钱苏翔,王庆泉.有机磷农药残留快速定量光电检测系统的设计[J].江苏农业科学,2018,46(11):179-182.
[16]孙广开,曲道明,周正干.机器人辅助激光超声检测系统的设计与实现[J].压电与声光,2017,39(5):780-783.