摘要
为了满足人们对于食品药品安全检测快速便携的需要,团队设计一种高速便携,延时低、精度高的新型FTIR光谱仪。光谱采集系统分为上位机和下位机2部分,系统的上位机软件设计是采用跨平台的C++图形用户界面应用程序,该框架(QT Creator)是由编程实现的,下位机的光电部分采用了MEMS微镜使仪器小型化,而下位机采集部分控制主板使用了ZYBO。使用了DAC驱动动镜移动以及ADC用于参考光和样本光数据的同步采集,进而利用多个串口实现了与上位机的完成指令控制以及采集数据传输。低波特率串口用于接收上位机控制指令。2个高波特率串口发送FIFO缓存的光谱数据。经试验验证采集系统的ADC、DAC及UART的时序控制满足了高速高效的需求。但是在便携上可进一步提高,下一步考虑通过利用Linux将上位机部分移植ZYBO内。采集控制设计完全使用了verilog代码进行了仿真与实测,发挥了FPGA的灵活特性,利用例化法提高了采集速率。
In order to meet the needs of people for food and drug safety detection in fast and portable way,a new FTIR spectrometer with high speed and portable,low delay and high precision was designed by the team.Spectral acquisition system was divided into upper computer and lower computer.For the software design of the upper monitor of the system,it was realized by using the cross-platform C++graphical user interface application framework(QT Creator)to make programming.For the photoelectric part of lower unit,it used MEMS microscopes to miniaturize the instrument,and a part of the lower monitor acquisition control board took advantage of the ZYBO of Xilinx.DAC drove motion mirror moving and ADC were used to refer to the synchronous acquisition of reference and sample light data,so that multiple serial ports were used to complete instruction control and data acquisition with the upper monitor.Low baud rate serial port was used to receive control instructions of upper monitor.Two high baud rates met the demand of high speed and high efficiency by testing and verifying the ADC.The timing control of DAC and UART met the requirement of high speed and efficiency.However,its portable function needs to be improved.For the next step,it s considered that the upper computer part is transplanted into the ZYBO by using the Linux.Acquisition of control design made full use of verilog code for simulation and measurement,which exerts the flexible characteristics of the FPGA,and the acquisition rate was improved by the example method.
作者
贾明俊
陆安江
赵麒
白忠臣
卢学敏
袁钱图
JIA Ming-jun;LU An-jiang;ZHAO Qi;BAI Zhong-chen;LU Xue-min;YUAN Qian-tu(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China;College of Mechanical and Electronic Engineering,Guizhou Minzu University,Guiyang 550025,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2021年第2期47-51,共5页
Instrument Technique and Sensor
基金
国家自然科学基金项目(61865002)
贵州省科技支撑计划项目(SY[2017]2881)
贵州大学引进人才项目(201602)
中央引导地方科技发展专项项目([2017]4004)。