Important indicators for monitoring and control of wastewater treatment plants (WWTP) often have to be obtained from the processing of on-line signal trajectories. Therefore, the quality of sensor instantaneous measurements can be improved significantly if they are complemented with valuable information about the geometric features of their trajectories. The present paper describes the design and implementation of a Standard Signal Processing Architecture (SSPA) from which enriched sensor information is generated automatically. The SSPA has been made up of three complementary modules: the pre-processing module, the storage module and the post-processing module. Moreover, the SSPA has been parameterised so as to allow its adaptation to the specifications of every signal. By performing basic calculations on pre-processed signal trajectories, the storage module produces enriched vectors which collect information of the first and second time derivatives, average and variance values, peak values, linear regression parameters, curvature, etc. Then, the enriched information vectors can be exploited to implement customised monitoring and control tools. In this respect, the effectiveness of the SSPA has been demonstrated in three different practical cases: (1) OUR and KLa identification algorithms; (2) processing of measurements for real-time controllers; and, (3) detection of bend-points in on-line signals of SBR processes.
Skip Nav Destination
Article navigation
Research Article|
April 01 2008
Standard signal processing using enriched sensor information for WWTP monitoring and control Available to Purchase
I. Irizar;
1CEIT and TECNUN, University of Navarra, P° de Manuel Lardizabal 15, 20018, San Sebastian, Spain E-mail: [email protected]; [email protected]; [email protected]
E-mail: [email protected]
Search for other works by this author on:
J. Alferes;
J. Alferes
1CEIT and TECNUN, University of Navarra, P° de Manuel Lardizabal 15, 20018, San Sebastian, Spain E-mail: [email protected]; [email protected]; [email protected]
Search for other works by this author on:
L. Larrea;
L. Larrea
1CEIT and TECNUN, University of Navarra, P° de Manuel Lardizabal 15, 20018, San Sebastian, Spain E-mail: [email protected]; [email protected]; [email protected]
Search for other works by this author on:
E. Ayesa
E. Ayesa
1CEIT and TECNUN, University of Navarra, P° de Manuel Lardizabal 15, 20018, San Sebastian, Spain E-mail: [email protected]; [email protected]; [email protected]
Search for other works by this author on:
Water Sci Technol (2008) 57 (7): 1053–1060.
Citation
I. Irizar, J. Alferes, L. Larrea, E. Ayesa; Standard signal processing using enriched sensor information for WWTP monitoring and control. Water Sci Technol 1 April 2008; 57 (7): 1053–1060. doi: https://doi.org/10.2166/wst.2008.139
Download citation file:
Sign in
Don't already have an account? Register
Client Account
You could not be signed in. Please check your email address / username and password and try again.
Could not validate captcha. Please try again.
eBook
Pay-Per-View Access
$38.00