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On-Line Measurement of the Chemical Oxygen Demand in Wastewater in a Pulp and Paper Mill Using Near Infrared Spectroscopy

机译:制浆造纸厂废水中化学需氧量的近红外光谱在线测量

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Although near infrared (NIR) spectroscopy has been evaluated for numerous applications, the number of actual on-line or even on-site industrial applications seems to be very limited. In the present paper, the attempts to produce online predictions of the chemical oxygen demand (COD) in wastewater from a pulp and paper mill using NIR spectroscopy are described. The task was perceived as very challenging, but with a root mean square error of prediction of 149 mg/l, roughly corresponding to 1/10 of the studied concentration interval, this attempt was deemed as successful. This result was obtained by using partial least squares model regression, interpolated reference values for calibration purposes, and by evenly distributing the calibration data in the concentration space. This work may also represent the first industrial application of online COD measurements in wastewater using NIR spectroscopy.
机译:尽管已经对近红外(NIR)光谱进行了多种应用的评估,但实际的在线甚至是现场工业应用的数量似乎非常有限。在本文中,描述了使用NIR光谱在线预测制浆造纸厂废水中化学需氧量(COD)的尝试。这项任务被认为非常具有挑战性,但是预测的均方根误差为149 mg / l,大约相当于研究浓度间隔的1/10,因此该尝试被认为是成功的。通过使用偏最小二乘模型回归,用于校准目的的内插参考值以及通过在浓度空间中均匀分布校准数据来获得此结果。这项工作也可能代表使用近红外光谱技术在废水中在线COD测量的首次工业应用。

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