基于McKenna燃烧器的平面火焰携带流燃烧器系统的燃烧环境，采用彩色相机测温系统对运动中的燃煤颗粒进行拍摄。彩色相机测温系统经过黑体炉进行温度测量标定后，利用其r、g波段的响应，采用双色法对燃煤颗粒的温度进行测量。测温系统的标定采用基于BP神经网络训练的方法进行，通过对蜡烛燃烧火焰的拍摄，将得到的颗粒温度与热电偶数据进行对比，验证了测温系统的可靠性。实验研究了燃烧器出口不同距离处燃煤颗粒的温度信息，结果表明，燃煤颗粒温度随颗粒到喷嘴出口距离的变化整体呈先上升后下降趋势。该结果为研究煤粉燃烧过程及着火机理提供了参考。

The combustion environment of pulverized coal particles is provided by the flat flame entrained flow combustor system based on McKenna burner. The moving coal particles are photographed by a color camera imaging system, which is calibrated by a black body furnace. The temperature of the combustion coal particles is measured based on the two-color method using the responses of the r and g channels. The calibration of the temperature measurement system is carried out based on the BP neural network training method. By photographing the burning flame of the candle, the results are compared with the thermocouple data to verify the reliability of the temperature measuring system. The experimental study obtained the temperature information of the coal particles at different distances from the burner exit. The results show that the temperature of the coal particles rises first and then decreases along the height of the nozzle outlet. The acquisition of temperature information provides a data reference for studying the combustion process and ignition mechanism of pulverized coal. The system can be combined with the backlight imaging system to form a dual optical path system for simultaneous experimental research.