改善环境光照对强反光体表面红外测温精度影响的补偿算法研究

Compensation Algorithm to Improve the Influence of Ambient Light on the Infrared Temperature Measurement Accuracy of a Strong Reflector Surface

  • 摘要: 针对铝业加工中的轧辊表面光滑,具有强反光特性,红外测温传感器测温易受环境光照影响,致使轧辊表面测温精度低,影响冷却控制系统对轧辊表面降温处理精度,进而造成产品质量差的现象,本文提出并构建了一种基于光照强度的红外测量温度补偿算法,以提高环境光照对强反光体表面温度测量的精度。实验结果证明本方法能较好地弥补光照强度变化对红外温度测量产生的测量误差,提高了测量精度。该补偿算法运算简单、适应性强,为改善光照强度变化对测量精度的影响提供了新的方法。

     

    Abstract: A roll surface in aluminum processing is smooth, has strong reflective characteristics, and is easily affected by ambient light when using an infrared temperature sensor to measure the temperature, resulting in low temperature measurement accuracy on the roll surface. The cooling control system affects the precision of cooling treatment on the roll surface, resulting in poor product quality. In this study, an infrared temperature compensation algorithm based on light intensity is proposed and constructed to improve the accuracy of ambient light measurement of the surface temperature of a strong reflector. Experimental results show that this method can compensate for measurement errors caused by changes in illumination intensity, thereby improving the measurement accuracy. The algorithm is simple and adaptable and provides a new approach to strengthening the accuracy of temperature measurement given speed change.

     

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