通过电子鼻子进行废水分类的快速方法,用于对带有活性泥的生物反应器的性能评估
Magdalena Piłat-Rożek1, Marcin Dziadosz1, Dariusz Majerek1
1Faculty of Mathematics and Information Technology, Lublin University of Technology, 20-618 Lublin, Poland.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
电子鼻子 (e-noses) 可以通过分析气体指纹来监测生物反应器的性能. 先进的数据分析成功地对正常运行进行分类,并检测废水处理过程中的故障.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 电子鼻子 (e-noses) 模仿哺乳动物的嗅觉,使用气体传感器阵列来检测有气味的化合物.
- 污水处理厂的生物反应器可能会引起气味的麻烦,这表明与污染水平相关的过程故障.
研究的目的:
- 开发一种用于分析来自e-nose传感器阵列的多维数据的协议.
- 用气体传感器数据对生物反应器的运行状态进行分类并检测故障.
主要方法:
- 主要组件分析 (PCA) 用于维度缩小和可视化.
- 基于密度的应用程序与噪音的空间集群 (DBSCAN) 用于无监督的数据集群.
- 额外的树木算法用于监督生物反应器状态的分类.
主要成果:
- 通过使用e-nose数据证明了生物反应器运行状态的成功分类.
- 识别了与正常运行和潜在故障相对应的独特气体指纹.
- 在分类生物反应器条件方面取得了高准确度和精度.
结论:
- 一个全面的数据分析协议可以有效地解释电子鼻子测量.
- 电子鼻子技术,加上先进的分析,为实时生物反应器监控提供了一个有前途的工具.
- 这种方法可以提高废水处理效率,并减轻与气味有关的问题.
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