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微型光谱仪数据采集系统设计与标定

Design and calibration of data acquisition system for miniature spectrometer
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摘要 针对目前多采用CCD作为微型光谱仪的光电探测,文中介绍了使用高性能线性CMOS图像传感器S11639-01设计的一款微型光谱仪。图像传感器的驱动及光谱仪数据采集系统控制均采用ARM Cortex-M7内核的32位处理器STM32H743芯片。系统硬件电路结构紧凑、数据采集分辨率高、传输实时性好。光谱仪的光路结构由入射狭缝、平场凹面光栅、线阵CMOS探测器组成,该结构相对简单,有利于光谱仪的微型化。采用美国海洋光学标准低压汞灯和卤钨灯对光谱仪进行实验测试,实验所得数据通过波长标定、光谱自动寻峰等技术进行处理,可以得到该系统光谱响应范围220 nm~950 nm,光谱波长标定误差低于0.05 nm,系统最小分辨率1.153 nm,线性度在99.898%以上。 Aiming at the current use of CCD as a miniature spectrometer for photoelectric detection,this paper introduces a miniature spectrometer designed using a high-performance linear CMOS image sensor S11639-01.The drive of the image sensor and the control of the data acquisition system of the spectrometer are all based on the 32-bit processor STM32H743 chip of ARM Cortex-M7 core.The system hardware circuit has a compact structure,high data acquisition resolution,and good real-time transmission.The optical path system structure of the spectrometer consists of an entrance slit,a flat-field concave grating,and a linear array CMOS detector.The structure is relatively simple,which is conducive to the miniaturization of the spectrometer.The spectrometer is tested by using the American ocean optics standard low-pressure mercury lamp and tungsten halogen lamp.The experimental data is processed by wavelength calibration and automatic peak-spectrum technology,and the spectral response range of system is 220 nm~950 nm.The calibration error of spectral wavelength is less than 0.05 nm,the minimum resolution of the system is 1.153 nm,and the linearity is above 99.898%.
作者 黄龙平 林慧 胡立坤 Huang Longping;Lin Hui;Hu Likun(School of Electrical Engineering,Guangxi University,Nanning 530004,China;Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518000,Guangdong,China)
出处 《电测与仪表》 北大核心 2023年第9期177-182,共6页 Electrical Measurement & Instrumentation
基金 国家自然科学基金资助项目(61863002)。
关键词 微型光谱仪 CMOS图像传感器 数据采集系统 波长标定 线性 miniature spectrometer CMOS image sensor data acquisition system wavelength calibration linearity
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