Читать книгу Automation of Water Resource Recovery Facilities - Water Environment Federation - Страница 215

During the past two decades, a series of sophisticated models such as ASM1, ASM2 (Guyer et al., 1994), ASM2D (Henze et al., 1999), and ASM3 (Guyer et al., 1999) were introduced that simulate BOD and chemical oxygen demand removal, nitrification, denitrification, and biological phosphate removal. These newer models are highly accurate and useful for design, research, and other offline activities. However, they are seldom used for online process control, mainly because several of their inputs cannot be measured in real time. Models used for real-time control must use inputs that are practical to measure online and in real time, relatively accurate, and easy to calibrate. Artificial neural network (ANN) models meet these requirements. Advantages and disadvantages of ANN models are listed in Table 7.2 (Hill, 2010).