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Experimental Multiscale Methodology for Predicting Material Fouling Resistance
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使用AI和BES/MFC来减少BOD5测量的预测时间.

Ivan Medvedev1, Mariya Kornaukhova1, Christoforos Galazis2

  • 1Volgograd State University, Volgograd, Russia.

Environmental monitoring and assessment
|August 4, 2023
PubMed
概括
此摘要是机器生成的。

这项研究使用人工智能驱动的微生物燃料电池传感器在6-24小时内快速测量生物化学氧气需求 (BOD5),显著减少了传统测试时间的高精度.

关键词:
生物化学氧气需求 生物化学氧气需求生物传感器是一种生物传感器.微生物燃料电池是一种微生物燃料电池.神经网络的神经网络的神经网络

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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:

  • 生物化学氧气需求 (BOD5) 是一个关键的水质指标.
  • 传统的BOD5测量是耗时的,需要5天.
  • 需要更快,更可靠的BOD5评估方法.

研究的目的:

  • 开发使用微生物燃料电池 (MFC) 的快速BOD5传感器.
  • 整合人工智能 (AI) 以加速BOD5预测.
  • 在现实应用中验证传感器的性能.

主要方法:

  • 使用微生物燃料电池 (MFC) 作为核心传感平台.
  • 开发并实施了一个人工神经网络 (ANN) 模型.
  • 相关联的MFC输出与标准BOD5测量用于ANN培训.

主要成果:

  • 在6-24小时内实现BOD5预测.
  • 平均预测错误达到了7%.
  • 证明了AI-MFC/BES传感器在实际使用中的可行性.

结论:

  • AI-MFC/BES传感器可显著减少BOD5测试时间.
  • 开发的系统提供了准确和快速的水质监测.
  • 这项技术显示出对实时环境评估的前景.