MODELLING OF WASTEWATER TREATMENT PLANT FOR MONITORING AND CONTROL PURPOSES BY STATE - SPACE WAVELET NETWORKS

2006 ◽  
Vol 39 (14) ◽  
pp. 250-255
Author(s):  
A. Borowa ◽  
M.A. Brdyś ◽  
K. Mazur
Author(s):  
Adam Borowa ◽  
Mietek A. Brdys ◽  
Krzysztof Mazur

Most of industrial processes are nonlinear, not stationary, and dynamical with at least few different time scales in their internal dynamics and hardly measured states. A biological wastewater treatment plant falls into this category. The paper considers modelling such processes for monitorning and control purposes by using State - SpaceWavelet Neural Networks (SSWN). The modelling method is illustrated based on bioreactors of the wastewater treatment plant. The learning algorithms and basis function (multidimensional wavelets) are also proposed. The simulation results based on real data record are presented.


1990 ◽  
Vol 22 (12) ◽  
pp. 183-191 ◽  
Author(s):  
Bennett K. Horenstein ◽  
Gerald L. Hernandez ◽  
Gary Rasberry ◽  
John Crosse

The City of Los Angeles has developed a diversified sludge management program since cessation of the ocean disposal of sludge in November 1987. At the heart of this program is the centrifugal dewatering of digested sludge at the Hyperion Wastewater Treatment Plant. The experience gained from the dewatering process includes: centrifuge startup problem solving, optimization of the dewatering process, polymer testing, struvite monitoring and control, and waste activated sludge dewatering parameter development.


2017 ◽  
Vol 30 (10) ◽  
pp. 3265-3276 ◽  
Author(s):  
Carlos Alberto C. Belchior ◽  
Rui Alexandre M. Araújo ◽  
Francisco Alexandre A. Souza ◽  
Jorge Afonso C. Landeck

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 2054
Author(s):  
Dan Selișteanu ◽  
Ion-Marian Popescu ◽  
Monica Roman ◽  
Constantin Șulea-Iorgulescu ◽  
Sorin Mehedințeanu

The design and implementation of a simulator, as a real-time application, for a complex process from the biological treatment stage of a wastewater treatment plant (WWTP), is addressed. More precisely, this emulator was achieved as a software tool that can be later integrated into a more complex SCADA (supervisory control and data acquisition) system of the WWTP Făcăi, Romania. The basic idea is to implement and validate a reduced-order model of the activated sludge process (ASP), initially simulated in the Matlab/Simulink environment (The MathWorks, Inc., Natick, MA, USA). Moreover, an advanced multivariable adaptive control scheme of the ASP is addressed. This software tool can be made to work in parallel with the evolution of the process and can have as input signals measured directly at the process level, possibly following parametric or model adaptations. The software emulator is developed in the LabWindows/CVI programming environment (National Instruments), which offers low-level access to hardware or software systems that have minimal open-architecture facilities. This environment provides versatile drivers and software packages that can facilitate the interaction with software tools developed within some earlier SCADA systems. The structure and the graphical interface of the emulator, some functionalities, experiments, and evolution of main variables are presented.


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