Presentation Title

Decentralized Wastewater Treatment

Faculty Mentor

Dr. Tamer Omar

Start Date

17-11-2018 8:30 AM

End Date

17-11-2018 10:30 AM

Location

HARBESON 40

Session

POSTER 1

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Today, most waste water treatment plants are centralized. This means water goes into homes from a central location, and waste water is either transported back to through sewage pipes or to septic tanks where they seep into the soil. With the ongoing drought in California, efficient use of water would lead to less strain on the state’s water resources.

This project presents the development of a mock control system for an automated, self-sustaining, decentralized water treatment plant. The system comprises of an Arduino microcontroller (MKR1000), and an array of sensors linked to a mobile app to monitor different aspects of the system. The app lets the end user monitor the entire system and grants access to the control of certain sensors. The system is designed to be fault tolerant within reasonable parameters and to communicate with cloud based analytic software (ThingSpeak and MATLAB) to process and display data and system state on a mobile application (android). The project utilizes different methods and approaches in control systems, embedded systems programming and embedded systems architecture to solve the problems associated with building the system.

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Nov 17th, 8:30 AM Nov 17th, 10:30 AM

Decentralized Wastewater Treatment

HARBESON 40

Today, most waste water treatment plants are centralized. This means water goes into homes from a central location, and waste water is either transported back to through sewage pipes or to septic tanks where they seep into the soil. With the ongoing drought in California, efficient use of water would lead to less strain on the state’s water resources.

This project presents the development of a mock control system for an automated, self-sustaining, decentralized water treatment plant. The system comprises of an Arduino microcontroller (MKR1000), and an array of sensors linked to a mobile app to monitor different aspects of the system. The app lets the end user monitor the entire system and grants access to the control of certain sensors. The system is designed to be fault tolerant within reasonable parameters and to communicate with cloud based analytic software (ThingSpeak and MATLAB) to process and display data and system state on a mobile application (android). The project utilizes different methods and approaches in control systems, embedded systems programming and embedded systems architecture to solve the problems associated with building the system.