针对灶具防干烧系统红外测温由于火焰不稳定等因素造成的锅底温度测量值波动问题,提出一种红外传感器测温的自适应算法.该算法对历史温度样本加权平均,并选取合适的温度采样频率和自适应系统参数,有效地滤除单次温度检测样本中的随机温度漂移,解决了温度波动造成的干烧信号判断区间增大问题,从而提高了干烧信号检测的灵敏度.实验结果表明,本算法能在5 s内稳定检测到干烧信号,且算法复杂度降至O(1).%Aiming at the fluctuation of the pot bottom temperature measmement value caused by factors such as flame instability,an adaptive algorithm for temperature measurement of infrared sensor was proposed.By taking weighted average of the historical temperature samples and selecting the appropriate temperature sanpling frequency and adaptive system parameters,the algorithm could effectively filter the stochastic temperature drift of the single temperature sample and solve the overheating signal judgement interval increasing caused by the temperature fluctuation so as to improve the sensitivity of overheating signal.Experimental resuhs showed that the proposed algorithm could detect the overheating signal within 5 s,and the complexity of the algorithm was reduced to O(1).
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