College

College of Engineering (COE)

Date of Last Revision

2020-05-05 10:38:44

Major

Civil Engineering

Honors Course

4300:497

Number of Credits

3

Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2020

Abstract

Advances in computer science, data analytics, hardware, and software are changing the way that sewer collection systems are able to operate. By combining these technologies into something called a Real-Time Decision Support System (RTDSS), operators of sewer collection systems can make operational decisions supported by data being recorded throughout the sewer system in real-time. A RTDSS has the potential to optimize the available capacity of a sewer collection system at a lower cost compared to traditional construction solutions. The City of Akron is in the process of implementing a RTDSS in their sewer collection system. This report analyzes how the early implementation process demonstrates both the potential capabilities of the RTDSS and a successful adoption method for system operators. The RTDSS reduced overflows by 60% in an early training simulator and had the potential to reduce overflows by 98.2% and 99.8% during rain events in June of 2019 when it was operating in the background at the AWRF as a test. These early indicators of success in the AWRF provided early proof of concept to operators and encouraged a healthy continuation of the implementation process.

Research Sponsor

Dr. Christopher Miller

First Reader

Dr. Stephen Duirk

Second Reader

Dr. David Roke

Honors Faculty Advisor

Dr. Ping Yi

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