Final presentation for the Sapienza IoT course Air Quality Monitoring project, by Antonino Di Maggio, Mattia Nicolella, Leonardo Salvucci.

1. AIR QUALITY MONITORING
Internet Of Things

2. Our team
Antonino Di Maggio Mattia Nicolella Leonardo Salvucci

3. Motivations & Solutions
Air pollution is one of the most serious environmental risks
faced by most of the countries in the world, due to the
rapid urbanization and motorization in urban areas.
The monitoring of the most interested areas is of
fundamental importance with appropriate tools capable of
assessing the critical levels.
Our solution is a simple and inexpensive tool able to satisfy
the basic needs of a good monitoring for external and
internal environments.

4. Hardware & software
• P-nucleo-IKA02A1
• Steval-MKI141V2
• B-L072Z-LRWAN1
LoRa®
• Nucleo-F401RE
• Mbed studio
• uTensor
• The things network
• InfluxDB
• Tableau

5. P-NUCLEO-IKA02A1

6. STEVAL-MKI141V2

7. B-L072Z-LRWAN1 LoRa®
We used the B-L072Z-LRWAN1 to receive
the CO data from the Nucleo board.
The board is also connected with the
humidity and temperature sensor.
In this way we collect all the data about CO,
temperature and humidity, that we will
send thought The Things Network.

8. Utensor-Tensorflow model
utensor-cli convert predictor.pb
--output-nodes=y_pred
• predictor.hpp
• predictor.cpp
• predictor_weight.
hpp

9. UTensor – C++ model

10. TTN - Creation of the application
• To use TTN we have to add an application in
the console
• We just have to specify ad ID, add a description
and specify the handler (for EU the handler
is: “ttn-handler-eu”)

11. TTN - Addition of the device
• Then we have to register the device that will send
the data through the LoRa antenna
• EUIs codes will be automatically generated

12. TTN – JSON file
To allow LoRa to detect the correct application and identify the device that is sending the data, we
have to modify some parameters in the file “mbed_app.json”
Here we have to insert the EUIs values
generated by TTN

13. TTN – Sending data
To send the data from LoRa to The Things Network we have to create a sending function in our code
This data will be sent on TTN,
then parsed and collected in
the data section
Then an http integration will
be used to send the data to
InfluxDB

14. InfluxDB
• Simple, high performing write and query HTTP APIs
through a language similar to SQL
• Written entirely in Go, with no external dependencies
• Support many programming languages

15. InfluxDB
TIMESTAMP CO HUMIDITY TEMPERATURE BENZENE
2019/04/02
15:40:00
2.6 42.5 14.6 3.2
POST
• https:// marty-
c9aef689.influxcloud.net:8086
• write?db= sensor_surveys
• precision= m
• u= root &p= iot
• - “survey, co=2.6, humidity=42.5,
temperature=13.6, benzene=3.1”

16. Tableau
Interactive data visualization software connected
with the source data
Powerful
EasyFlexible

17. Tableau WDC
Easy integration through the WDC libraries

18. Tableau WDC

19. Tableau WDC

20. Tableau WDC
q = SELECT * FROM surv.autogen.survey

21. Tableau visualization

22. Previous presentation:
www.slideshare.net/MattiaNicolella/air-quality-monitoring-
137482560
Blog:
www.hackster.io/151578/air-quality-monitoring-b48e9e
GitHub:
https://github.com/antoninus96/Air_Quality_Monitoring_IoT
Useful links
TEAM
Antonino Di Maggio Mattia Nicolella Leonardo Salvucci

23. Thank you for the attention