In a biogas plant, the acetic acid concentration is a major component of the substrate as it determines the pH value, and this pH value correlates with the volume of biogas produced. Since it requires specialized laboratory equipment, the concentration of acetic acid in a biogas substrate cannot be measured on-line. The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate. As a result of this project, it was possible to determine whether the acetic acid concentration in a biogas substrate is higher or lower than 2 g/l using machine learning models.

中文翻译：

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使用机器学习估算沼气样品中的乙酸浓度

在沼气厂中，乙酸浓度是底物的主要成分，因为它决定了 pH 值，而该 pH 值与产生的沼气量相关。由于需要专门的实验室设备，因此无法在线测量沼气底物中的乙酸浓度。该项目旨在使用 NIR 传感器和机器学习算法，根据测得的底物强度估算沼气底物中的乙酸浓度。作为该项目的结果，可以使用机器学习模型确定沼气底物中的乙酸浓度是高于还是低于 2 g/l。