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首页> 外文会议>2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring >Predicting of Sludge Acidogenic Fermentation Process on the Mathematical Models
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Predicting of Sludge Acidogenic Fermentation Process on the Mathematical Models

机译：数学模型对污泥产酸发酵过程的预测

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摘要

The prediction and control for sludge acid ogenic fermentation process has a guiding role for the biological treatment of acid mine drainage with SRB to select proper carbon source. Two mathematical models were used to predict sludge acidogenic fermentation process with semi-continuous operation mode. The results showed that quadratic polynomial regression model is superior to multivariate linear regression models. It can predict acetic acid yield rate and total acid productivity well, and the average relative error between predicted value and actual value is less than 10%. But it cannot correctly predict prop ionic and butyric acids yield, and the average relative error between predicted value and actual value is less than 17%, respectively.
机译：污泥产酸发酵过程的预测与控制对SRB对酸性矿山排水进行生物处理，以选择合适的碳源具有指导作用。使用两个数学模型来预测半连续运行模式下的污泥产酸发酵过程。结果表明，二次多项式回归模型优于多元线性回归模型。它可以很好地预测乙酸的收率和总产酸量，预测值与实际值之间的平均相对误差小于10％。但是它不能正确预测丙酸和丁酸的产率，预测值和实际值之间的平均相对误差分别小于17％。

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