Abstract
In the process of wastewater treatment (WWT), the instability and hysteresis of the chemical dosing cannot make sure the stability of the water quality. At the same time, chemicals were wasted or overdosed in the process. In this study, we proposed a self learning algorithm, which based on the regression method modified using the data value lifecycle model to computer the accurate quantity of chemical dosing. The mechanisms of discard and cultivation data were established to make it alive in the algorithm. The algorithm is self learning according to the wastewater characteristics as the time goes on using the mechanism. We can make sure the quality of the wastewater is stability and economical by using the artificial intelligence. The experiment approves that the artificial intelligence algorithm was useful and economical to chemical dosing of wastewater treatment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
