Monitoring and analyzing air quality is of primary importance to encourage more sustainable lifestyles and plan corrective actions. This paper presents the design and end-To-end implementation1 of a real-world urban air quality data collection and analytics use case which is a part of the TRAFAIR (Understanding Traffic Flows to Improve Air Quality) European project [1, 2]. This implementation is related to the project work done in Modena city, Italy, starting from distributed low-cost multi-sensor IoT devices installation, LoRa network setup, data collection at LoRa server database, ML-based anomaly measurement detection plus cleaning, sensor calibration, central control and visualization using designed SenseBoard [3].

Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case / Rollo, Federica; Sudharsan, Bharath; Po, Laura; Breslin, John. - (2021), pp. 67-68. (Intervento presentato al convegno 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 tenutosi a Virtual, USA nel September 21--26, 2021) [10.1145/3460418.3479277].

Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case

Federica Rollo;Laura Po;
2021

Abstract

Monitoring and analyzing air quality is of primary importance to encourage more sustainable lifestyles and plan corrective actions. This paper presents the design and end-To-end implementation1 of a real-world urban air quality data collection and analytics use case which is a part of the TRAFAIR (Understanding Traffic Flows to Improve Air Quality) European project [1, 2]. This implementation is related to the project work done in Modena city, Italy, starting from distributed low-cost multi-sensor IoT devices installation, LoRa network setup, data collection at LoRa server database, ML-based anomaly measurement detection plus cleaning, sensor calibration, central control and visualization using designed SenseBoard [3].
2021
2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
Virtual, USA
September 21--26, 2021
67
68
Rollo, Federica; Sudharsan, Bharath; Po, Laura; Breslin, John
Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case / Rollo, Federica; Sudharsan, Bharath; Po, Laura; Breslin, John. - (2021), pp. 67-68. (Intervento presentato al convegno 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 tenutosi a Virtual, USA nel September 21--26, 2021) [10.1145/3460418.3479277].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1252694
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