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图像分析作为实验室规模装置中活性污泥特性的监测工具。

Image analysis as a monitoring tool for activated sludge properties in lab-scale installations.

作者信息

Jenné R, Banadda E N, Philips N, Van Impe J F

机构信息

Department of Chemical Engineering, BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Kasteelpart Arenberg 22, Heverlee, Belgium.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2003;38(10):2009-18. doi: 10.1081/ese-120023328.

DOI:10.1081/ese-120023328
PMID:14524657
Abstract

An important step in the battle against filamentous bulking is the development of a monitoring system for activated sludge properties. Therefore, a fully automatic image analysis method for recognizing and characterizing flocs and filaments in activated sludge images has been developed. This procedure has been subsequently used to monitor activated sludge properties in a lab-scale installation. The results of a 100-days experiment indicate that the image information correlates well with the evolution of standard settling properties, in this case the Sludge Volume Index. It is shown that, at the onset of severe filamentous bulking, there is an increase in total filament length on the one hand, and a significant change in floc shape on the other hand.

摘要

对抗丝状膨胀的一个重要步骤是开发一种用于监测活性污泥特性的系统。因此,已经开发出一种用于识别和表征活性污泥图像中絮凝物和丝状菌的全自动图像分析方法。该程序随后被用于监测实验室规模装置中的活性污泥特性。一项为期100天的实验结果表明,图像信息与标准沉降特性(在这种情况下为污泥体积指数)的变化密切相关。结果表明,在严重丝状膨胀开始时,一方面总丝状菌长度增加,另一方面絮凝物形状发生显著变化。

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