以两段式回转窑焚烧炉为研究对象，基于逆向Monte Carlo方法，提出了利用电荷耦合器件摄像机所获取的辐射信息进行炉膛断面二维弥散介质温度场快速重建的模型.应用最小二乘QR(LSQR)矩阵分解算法结合维恩定律即可重建出截面温度场.模拟计算表明，即使在存在测量误差的情况下，仍可以较好地重建出介质温度场，同时辐射能传感器的信噪比不应低于70dB.并进行了现场试验研究，试验结果证实了重建方法的可行性和实用性.%Temperature distribution in a hazardous waste incinerator is one of the most important factors in PCDD/Fs formatting and system control. The present study aims at reconstructing 2D temperature distribution of a rotary kiln hazardous waste incinerator. A reconstruction model of temperature distribution based on the back-Monte Carlo method was proposed, using the flame images captured by charge-coupled device cameras. A matrix-decomposition-based least squares algorithm was introduced to reconstruct the emission intensity distribution in kiln sections. The retrieved intensities were used to infer local flame temperature. Numerical assessments indicate that the signal-to-noise ratio of the detector should be larger than 70 dB, and then the temperature field can be satisfactorily reconstructed even if data measurement errors are taken into consideration. The proposed method was found to be capable and effective through practical approaches.
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