1.
1
ERMES – EnviRonmental pollution
Micromobility sEnSing
Center for Sensing Solutions
Monsorno Roberto – Center for Sensing Solutions

2.
Center for Sensing Solutions 2
• Center for Sensing Solutions
• Research & Services for Digital Technologies
• Air Quality
• The problem
• Monitoring with Micromobility examples
• ERMES Technology Transfer experiment
• The Experiment partners
• ERMES Goals
• ERMES expected result
• ERMES – Open Source Architecture and workflow
Outline

3.
The Center for Sensing
Solutions can manage the entire
data cycle.
Our data driven approach
follows the FAIR principles
(Findable, Accessible,
Interoperable and Reusable)
and mostly relay on open
source technologies.
Center for Sensing Solutions

4.
Detection,
Classification,
Prediction
Center for Sensing Solutions
Big Data

5.
Air Pollution

6.
Air Pollution
Source: The State of Global Air Quality Funding 2021

7.
Air Quality
Monitoring
Source https://www.london.gov.uk/

8.
Air Quality
Monitoring
Source https://www.eea.europa.eu/themes/air/air-quality-index/index EEA

9.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
Experiment Objectives
• Improve Sensor
• Battery life
• Robustness
• Integrate LPWAN communication
(LoRaWAN, LTE Cat M1, NB-IoT)
• Create Digital Ecosystem, for Smart
Cities Services
• Productization

10.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614

11.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
Air Quality Mobile Sensor Kit: TRL 5

12.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
LPWAN connectivity
Source https://doi.org/10.1177/1550147717699412

13.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
Open Source System Architecture
ChirpStack
PostgreSQL
NodeRed
influxdb
• Registration of gateways and
devices
• Creation of application where
device are registered and the
packets of data are filtered
• Integration with database (data
are formatted and sent to the
storage)
Creates HTTP API in order to feed
the database
The data coming from the network
server can be structored in order
to better fit with the db
requirements
Network server Middleware Storage
SQL database and
NOSQL timeseries
database
API
API

14.
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
Open Source System Architecture
gateway LoRaServer
web
LoRaWAN
InfluxDB
PostgreSQL db
NodeRed
API driver
HTTP POST API
Sensor 1
Sensor 1
Sensor 1
Flow 1
Flow 2
ChirpStack NodeRed PostgreSQL
influxdb
Dashboard

15.
ERMES
This Cross-domain Technology Transfer Experiment has received funding from the European Union’s Horizon 2020 research and innovation programme under the SMART4ALL grant agreement no 872614
Expected Results
• To improve the quantity, availability,
transparency, accuracy or accessibility
of air quality information and data.
• To raise awareness of air pollution,

16.
Center for Sensing Solutions
Eurac Research
roberto.monsorno@eurac.edu
sensing.solutions@eurac.edu
www.eurac.edu
T +39 0471 055 930