本文用一台测量范围为500～1100 nm的便携式光谱仪对乙烯火焰30mm和50 mm两个高度进行扫描,通过黑体炉标定对测量值进行修正得到单色辐射强度,进一步采用随机微粒群算法(SPSO)同时重建出火焰在这两个高度处的温度和碳黑浓度分布。与Abel逆变换以及Tikhonov正则化算法的对比,表明了SPSO方法在同时重建轴对称火焰温度和碳黑浓度分布时的可行性和有效性。 In this paper, a portable spectrometer with a measuring range of 500 ~ 1100 nm was used to scan two flames of 30mm and 50mm flame of ethylene. The calibration values ​​of blackbody furnace were calibrated to obtain the monochromatic radiation intensity. The stochastic particle swarm optimization (SPSO ) Simultaneously rebuilds the flame’s temperature and carbon black concentration distributions at these two heights. Compared with the Abel inverse transform and the Tikhonov regularization algorithm, the feasibility and effectiveness of the SPSO method in reconstructing axisymmetric flame temperature and carbon black concentration distribution are demonstrated.