Difference between revisions of "Projects:2018s1-111 IoT Connectivity Investigation"

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(Introduction)
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As computers and network connectivity has become cheaper, more and more devices have been connected to the internet for a wide variety of purposes. These devices which are not used by a human in the way a traditional computer is are known as the "Internet of Things" (IoT.)  
 
As computers and network connectivity has become cheaper, more and more devices have been connected to the internet for a wide variety of purposes. These devices which are not used by a human in the way a traditional computer is are known as the "Internet of Things" (IoT.)  
  
This project will seek develop a system with which to retrofit existing ultrasonic medical cleaning devices to make them IoT enabled to provided additional functionality for the client.
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This project is sponsored by Soniclean Pty Ltd, and seeks to add IoT capability to Soniclean’s ultrasonic cleaning machines. While there are IoT solutions commercially available on the market, Soniclean has determined that they need at least a partially custom solution as they have a unique set of requirements.
  
 
== Abstract ==
 
== Abstract ==

Revision as of 18:21, 23 August 2018

Project Team

Sponsor

Soniclean

Honours Students

Edward Gray

Jack Mansfield

Supervisor

Andrew Allison


Introduction

As computers and network connectivity has become cheaper, more and more devices have been connected to the internet for a wide variety of purposes. These devices which are not used by a human in the way a traditional computer is are known as the "Internet of Things" (IoT.)

This project is sponsored by Soniclean Pty Ltd, and seeks to add IoT capability to Soniclean’s ultrasonic cleaning machines. While there are IoT solutions commercially available on the market, Soniclean has determined that they need at least a partially custom solution as they have a unique set of requirements.

Abstract

Soniclean has tasked Edward and Jack to develop an auditing system of their medical grade ultrasonic cleaning machines. A Raspberry Pi with a wireless modem will be integrated in the machines along with a range of sensors to determine the functionality of the machine. This subsystem will be developed by Edward and Jack to transmit cleaning cycle data from worldwide installations to a central server. Soniclean intends to use this logged sensor data to provide an auditing and monitoring service to their medical clients throughout the world.

Background

System Design

System Overview

Hardware

Software

Testing

Conclusions