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The Sparkle
Lung System
The Architecture
STM32 B-L475E-IOT01A
Integrates the sensors
that measure the
parameters we are
interested in: pressure,
humidity, temperature
and gas.
AWS Lightsail
Stores the data on the
cloud and makes the
visualization available
to the end users. It also
give us a month free
trial!
Dashboard
Enable users to register
to the platform and
track the parameters
through the
visualization and the
Dialogflow assistant.
2
What is next?
3
Deploy the
visualization
In the next 3 days we will
deploy the visualization to
AWS to start testing the
system on the production
environment.
Start collecting data
Once that all the system is
working, we want to collect
some real data to visualize.
Connect the board
to AWS
Until 10 days we want to
finish all the tests needed
to connect the board to the
cloud.
03
01 02
1. Dashboard
Let’s start with the visualization
Place your screenshot here
5
Desktop
Show the measures
from last 24 hours and
last week.
Place your screenshot here
6
It is full responsive!
You can use it on your mobile phone
and in you tablet.
REST API
GET
You can ask for all measures
(/measures) or for a range of
dates
(/measures/from/<string:year1>/<
string:month1>/<string:day1>/to/<
string:year2>/<string:month2>/<str
ing:day2>).
POST
The server accepts connections to
add a new measurement
(/measures).
7
“
8
2. STM32
Collecting the data
1. Measurements
We started to collect the
measurements.
What has been done?
2. Wi-fi connection
We wrote the module that
connects the board to the
internet.
9
Demo Time
Let’s take a look at the system
10
11
Thanks!Any questions?
Luca Maiano
https://www.linkedin.com/in/lucamaiano/
Maria Carmela Dipinto
https://www.linkedin.com/in/maria-carmela-dipinto/

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[Pervasive systems: Final Project Presentation] The Sparkle Lung System

  • 2. The Architecture STM32 B-L475E-IOT01A Integrates the sensors that measure the parameters we are interested in: pressure, humidity, temperature and gas. AWS Lightsail Stores the data on the cloud and makes the visualization available to the end users. It also give us a month free trial! Dashboard Enable users to register to the platform and track the parameters through the visualization and the Dialogflow assistant. 2
  • 3. What is next? 3 Deploy the visualization In the next 3 days we will deploy the visualization to AWS to start testing the system on the production environment. Start collecting data Once that all the system is working, we want to collect some real data to visualize. Connect the board to AWS Until 10 days we want to finish all the tests needed to connect the board to the cloud. 03 01 02
  • 4. 1. Dashboard Let’s start with the visualization
  • 5. Place your screenshot here 5 Desktop Show the measures from last 24 hours and last week.
  • 6. Place your screenshot here 6 It is full responsive! You can use it on your mobile phone and in you tablet.
  • 7. REST API GET You can ask for all measures (/measures) or for a range of dates (/measures/from/<string:year1>/< string:month1>/<string:day1>/to/< string:year2>/<string:month2>/<str ing:day2>). POST The server accepts connections to add a new measurement (/measures). 7
  • 9. 1. Measurements We started to collect the measurements. What has been done? 2. Wi-fi connection We wrote the module that connects the board to the internet. 9
  • 10. Demo Time Let’s take a look at the system 10
  • 11. 11 Thanks!Any questions? Luca Maiano https://www.linkedin.com/in/lucamaiano/ Maria Carmela Dipinto https://www.linkedin.com/in/maria-carmela-dipinto/