多变量统计验证pH和ORP数据作为控制输入,用于全面的生物去除
A Robles1, D Aguado2, A Ríos-Mejía1
1CALAGUA, Unidad Mixta UV-UPV, Departament d'Enginyeria Química, Universitat de València, Avenida de la Universitat s/n, Burjassot, 46100, Valencia, Spain.
Journal of environmental management
|June 20, 2025
概括
本研究使用氧化降解潜力 (ORP) 和pH传感器数据进行验证,以先进控制生物去除. 衍生ORP和pH信号有效优化流程,并提高控制器对传感器错误的弹性.
科学领域:
- 环境工程 环境工程
- 水处理技术 水处理技术
- 过程控制 过程控制
背景情况:
- 生物除对于废水处理至关重要.
- 优化通风能源需求是一个关键的挑战.
- 需要先进的控制策略来有效地去除营养物质.
研究的目的:
- 为了验证氧化降解潜力 (ORP) 和pH值作为先进控制策略的输入数据.
- 为了优化生物去除,同时最大限度地减少通风能量.
- 评估ORP/pH数据与去除效率之间的相关性.
主要方法:
- 应用统计多变量投影在线ORP和pH传感器数据.
- 在一个全尺寸的插头流反应堆中安装了传感器.
- 与基传感器数据相关联的衍生ORP和pH信号.
主要成果:
- pH和ORP衍生信号与基于的传感器数据有很强的相关性.
- 衍生信号是化,SND和脱的有效控制输入.
- 基于衍生信号的控制器表现出对传感器故障和数据偏差的增强弹性.
结论:
- ORP和pH衍生信号是先进的废水处理控制的可靠输入.
- 这种方法优化了的去除,并减少了能源消耗.
- 基于衍生信号的控制增强了工艺稳定性和传感器故障容忍度.
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