MegaSense: Cyber-Physical System for Real-time Urban Air Quality Monitoring
| Autor: | Samu Varjonen, Sasu Tarkoma, Andrew Rebeiro-Hargrave, Naser Hossein Motlagh, Eemil Lagerspetz, Petteri Nurmi |
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| Přispěvatelé: | Department of Computer Science, Content-Centric Structures and Networking research group / Sasu Tarkoma, Helsinki Institute for Information Technology |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Pollution
media_common.quotation_subject Internet of Things Air pollution ComputerApplications_COMPUTERSINOTHERSYSTEMS 010501 environmental sciences medicine.disease_cause 01 natural sciences Cyber-physical Systems Transport engineering Air quality monitoring Indoor air quality 11. Sustainability medicine Low-cost sensors Air quality index 0105 earth and related environmental sciences media_common Pollutant 010401 analytical chemistry Cyber-physical system Sampling (statistics) 113 Computer and information sciences Data integration and visualisation 3. Good health 0104 chemical sciences 13. Climate action ComputerSystemsOrganization_MISCELLANEOUS Air quality Environmental science |
| Popis: | Air pollution is a contributor to approximately one in every nine deaths annually. To counteract health issues resulting from air pollution, air quality monitoring is being carried out extensively in urban environments. Currently, however, city air quality monitoring stations are expensive to maintain, resulting in sparse coverage. In this paper, we introduce the design and development of the MegaSense Cyber-Physical System (CPS) for spatially distributed IoT-based monitoring of urban air quality. MegaSense is able to produce aggregated, privacy-aware maps and history graphs of collected pollution data. It provides a feedback loop in the form of personal outdoor and indoor air pollution exposure information, allowing citizens to take measures to avoid future exposure. We present a battery-powered, portable low-cost air quality sensor design for sampling PM2.5 and air pollutant gases in different micro-environments. We validate the approach with a use case in Helsinki, deploying MegaSense with citizens carrying low-maintenance portable sensors, and using smart phone exposure apps. We demonstrate daily air pollution exposure profiles and the air pollution hot-spot profile of a district. Our contributions have applications in policy intervention management mechanisms and design of clean air routing and healthier navigation applications to reduce pollution exposure. |
| Databáze: | OpenAIRE |
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