论文部分内容阅读
针对近红外光谱仪光源普遍存在的稳定性问题,提出了一种硬件与软件结合的光源校准方法,将光源的稳定校准工作交由上位机来完成,可在上位机中实现更为复杂的自适应算法,从而进一步优化提升光源的稳定性。研究中针对华夏科创Hadamard近红外光谱仪开发了光源校准算法,在仪器连续工作14小时发生明显基线漂移后,通过调控光源电压对仪器光源进行校准,整个校准搜索过程循环20次达到收敛,耗时为1.5min,光谱的相对平均误差为0.4334%,满足仪器重复性要求。由于校准采用线性校准算法,存在较准时间长的缺点,如果采用更为智能的自适应搜索算法,校准时间应该会进一步缩短。
Aimed at the ubiquitous stability problem of near-infrared spectrometer light source, a light source calibration method based on hardware and software was put forward. The stable calibration of light source was done by the host computer, and a more complex self-adaptive Algorithm, so as to further improve the stability of the light source. In this study, a light source calibration algorithm was developed for Huaxia Kemashanda Hadamard near infrared spectrometer. After the instrument had a significant baseline drift for 14 hours of continuous operation, the instrument light source was calibrated by regulating the light source voltage. The entire calibration search process was cycled 20 times to achieve convergence, 1.5min, the relative average error of the spectrum is 0.4334%, which meets the requirements of instrument repeatability. Since calibration uses a linear calibration algorithm, there is a short period of time. If a more intelligent adaptive search algorithm is adopted, the calibration time should be further shortened.