组合机理知识的污水生化处理过程在线监视策略研究

本文把呼吸量估计知识组合到多变量主模型中，提出了一种新的污水生化处理过程（WWTP）在线监视策略.呼吸量是活性污泥(微生物)呼吸能力的一种表示,与微生物消耗的氧直接有关，其估计仅需要测量活性污泥反应器中溶解氧浓度和有关物料流量信号.由于溶解氧和流量计在工业污水处理现场安装普遍，响应快速，运行稳定且易维护，因此构造基于微生物呼吸量估计的过程监视方法，在故障检测与诊断速率、经济性等方面有显著的优势.把新方法应用到国际水协会发布的Benchmark问题，在监视暴风雨事件和毒素脉冲等典型的WWTP异常状态时，统计指标变化灵敏，诊断及时.

ON-LINE MONITORING OF BIOLOGICAL WASTEWATER TREATMENT PROCESSES BY INCORPORATING FIRST PRINCIPLE KNOWLEDGE

Incorporating prior knowledge of respirometry estimation into multivariable principal analysis, a wastewater treatment process monitoring strategy is suggested. Respirometry measures the respiration rate of activated sludge, which concerns with the amount of oxygen consumed by microorganisms, and is estimated from the dissolved oxygen concentration of activated sludge reactors and some flow rates entering the system. Because the dissolved oxygen concentration and flow-meters which have quick response time and easy maintenance and steady operation are a-vailable at most industrial plants, the process monitoring strategy combining respirometry estimation have the advantage of fault detection rate and fault cause isolation and cost. When the new approach is demonstrated to monitor the typical abnormity of wastewater treatment plant such as storm event and toxin pulse entering Benchmark published by IAW, the sensitivity increase of some statistics indexes and fault detection in time are seen.