传统彩虹测量技术标定复杂、精度可重复性差且难以适应密闭空间。一种基于多彩虹谱线自标定方法,可省去原有的标定系统装置,将标定过程内化于对彩虹信号的处理,以水为例的测量偏差仅为0.13%。将该技术应用于混合喷雾液滴组分浓度测量中,探究并优化了参与混合的两种液体组分的方案。实验采用60%乙醇-水混合喷雾,原位测量了混合喷雾场多点组分浓度,测量结果差别可以控制在0.5%以内,表明该方法技术在相关领域的应用潜力。 Traditional rainbow measurement technology calibration complex, poor repeatability and difficult to adapt to confined space. Based on the rainbow spectrum self-calibration method, the original calibration system can be omitted, and the calibration process can be internalized to the rainbow signal processing. The measurement deviation with water as an example is only 0.13%. Applying this technique to the measurement of mixed-spray droplet component concentration, we explored and optimized the two liquid components involved in mixing. In the experiment, 60% ethanol-water mixed spray was used to measure the concentration of multi-point components in the mixed spray field in-situ. The difference between the measured results can be controlled within 0.5%, indicating the potential of this method in related fields.