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.

Summary of research results to be presented

Scope

The mock system is water proof and operates within a temperature range of 0-100 degree celcius and a pressure range of 15-115kPa. Communications between the system and the app, is done wirelessly, with the aid of cloud services such as AWS and IoT analytics, ThingSpeak.

Focus Areas

  1. Hardware
  2. Sensors and Transducers
  3. Cloud Usage
  4. Analytics
  5. Algorithm (Code)

Requirements and Specifications

  1. Microcontroller
  2. Multiple Sensors and Transducers
  3. Program Language: C++
  4. Mock Structure Materials: Platform, pipes, connectors, water containers and other plumbing accessories
  5. Fault Tolerance, Safety Measures, Efficiency Analytics

Key Terms

  1. Fault Tolerance: Ability of the system to automatically detect and identify faulty components and to compensate such failures without loss to service within reasonable margins and conditions.
  2. Safety Measures: In the case where Fault Tolerance fails, the system should be able to shut down safely with minimal damage to the overall system.
  3. Efficiency Analytics: This is tied to Fault Tolerance. The system should be able to read and analyze power consumption of the different components and determine if they are operating within efficient margins

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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.