Date of Last Revision
2023-05-03 13:12:54
Major
Civil Engineering - Cooperative Education
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2019
Abstract
Design phase operator input can prove useful; however, it is not essential in every application, as Akron’s treatment plant implemented AI to increase treatment capacity without design-phase operator input. They implemented a system flight simulator, a few hours training, and have communicated with the designer to make system tweaks as needed. In larger applications, the owner may benefit greatly by incorporating design input from operational staff. Those representing a municipality as a project owner for a treatment plant upgrade should always maintain an active role in the design of smart water infrastructure. They must keep the operators in mind when reviewing the drawings and specifications to ensure practicality whether there is a large infrastructural upgrade or just the implementation of the smart systems. Though AI water treatment monitoring and control offers great benefits, the question of how to overcome these obstacles remains.
Research Sponsor
Dr. Christopher Miller
First Reader
Dr. David Roke
Second Reader
Dr. Stephen Duirk
Recommended Citation
Spano, Jordan, "Artificial Intelligence in Wastewater Treatment Facilities: Implementing Practical New Technologies for the End User" (2019). Williams Honors College, Honors Research Projects. 983.
https://ideaexchange.uakron.edu/honors_research_projects/983