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SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility sEnSing.pdf

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SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility sEnSing.pdf

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Public micro mobility services (bikes, e-bikes, e-scooters) have a direct impact on the environment and the low-carbon economy. In parallel, sensing/monitoring urban air quality is a known need for any smart city to raise population awareness on health risks. ERMES is a technology transfer experiemnt project, supported by H2020 Smart4All aimed at improving the functionality of the air quality sensor kit of Cyclopolis to be safely mounted on public micro mobility fleets. It is enhanced with LoraWAN connectivity by exploiting the LoRaWAN@NOI network (https://lorawan.beacon.bz.it/) and will reduce the power consumption of the sensor kit. The system benefits of the the open source Chirpstack project and the data collected are going to be stored on InfluxDB, shared through and open RESTfull API. ERMES will provide the public shared mobility market with a reliable data and information service for smart cities.

Public micro mobility services (bikes, e-bikes, e-scooters) have a direct impact on the environment and the low-carbon economy. In parallel, sensing/monitoring urban air quality is a known need for any smart city to raise population awareness on health risks. ERMES is a technology transfer experiemnt project, supported by H2020 Smart4All aimed at improving the functionality of the air quality sensor kit of Cyclopolis to be safely mounted on public micro mobility fleets. It is enhanced with LoraWAN connectivity by exploiting the LoRaWAN@NOI network (https://lorawan.beacon.bz.it/) and will reduce the power consumption of the sensor kit. The system benefits of the the open source Chirpstack project and the data collected are going to be stored on InfluxDB, shared through and open RESTfull API. ERMES will provide the public shared mobility market with a reliable data and information service for smart cities.

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SFScon22 - Roberto Monsorno - ERMES - EnviRonmental pollution Micromobility sEnSing.pdf

  1. 1. 1 ERMES – EnviRonmental pollution Micromobility sEnSing Center for Sensing Solutions Monsorno Roberto – Center for Sensing Solutions
  2. 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. 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. 4. Detection, Classification, Prediction Center for Sensing Solutions Big Data
  5. 5. Air Pollution
  6. 6. Air Pollution Source: The State of Global Air Quality Funding 2021
  7. 7. Air Quality Monitoring Source https://www.london.gov.uk/
  8. 8. Air Quality Monitoring Source https://www.eea.europa.eu/themes/air/air-quality-index/index EEA
  9. 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. 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. 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. 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. 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. 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. 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. 16. Center for Sensing Solutions Eurac Research roberto.monsorno@eurac.edu sensing.solutions@eurac.edu www.eurac.edu T +39 0471 055 930

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