College

College of Engineering and Polymer Science

Date of Last Revision

2022-04-25 09:16:27

Major

Chemical Engineering

Honors Course

4200 497-001

Number of Credits

4

Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2022

Abstract

This honors project focuses on barriers to technology adoption in the drinking water treatment industry. The scope of this project considers these barriers as they relate to general technology and with a specific focus on artificial intelligence (AI) and digital twins. To better understand these barriers, prior research and case studies are analyzed. The case studies include reports provided by Fontus Blue, a water treatment software provider based in Akron, Ohio. The case studies exhibit the benefits and challenges of integrating new technology, including AI systems. With the context of these case studies in mind, a survey was distributed to water system superintendents, chief operators, and others. Key results from the survey indicate that cybersecurity concerns and lack of funding are leading barriers affecting technology integration. Similar data was gathered specifically for AI adoption, and the results indicate that lack of funding, cybersecurity concerns, and lack of understanding of AI are all significant obstacles inhibiting further technology adoption. This is due in part to the relative lack of understanding of AI among respondents. The results indicate that compared to traditional technology options, there is a significant lack of understanding of what AI is and the associated benefits.

Research Sponsor

Christopher Miller

First Reader

Joseph Fox

Second Reader

Zhenmeng Peng

Honors Faculty Advisor

Donald Visco

Signature Page-Adams.pdf (553 kB)
Final Submission Signature Page

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