Journal
WATER SCIENCE AND TECHNOLOGY
Volume 81, Issue 8, Pages 1733-1739Publisher
IWA PUBLISHING
DOI: 10.2166/wst.2020.067
Keywords
digital water; IoT; MBBR; soft sensor
Funding
- Norwegian Research Council (RECOVER project)
Ask authors/readers for more resources
Model-based soft sensors can enhance online monitoring in wastewater treatment processes. These soft sensor scripts are executed either locally on a programmable logic controller (PLC) or remotely on a system with data-access over the internet. This work presents a cost-effective, flexible, open source IoT solution for remote deployment of a soft sensing algorithm. The system uses low-priced hardware and open-source programming language to set up the communication and remote-access system. Advantages of the new IoT architecture are demonstrated through a case study for remote deployment of an Extended Kalman Filter (EKF) to estimate additional water quality parameters in a multistage moving bed biofilm reactor (MBBR) plant. The soft-sensor results are successfully validated against standardised laboratory measurements to prove their ability to provide real-time estimations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available