{"id":843103,"date":"2022-05-09T11:18:16","date_gmt":"2022-05-09T18:18:16","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=843103"},"modified":"2022-08-11T08:28:52","modified_gmt":"2022-08-11T15:28:52","slug":"eclipse-an-end-to-end-platform-for-low-cost-hyperlocal-environmental-sensing-in-cities","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/eclipse-an-end-to-end-platform-for-low-cost-hyperlocal-environmental-sensing-in-cities\/","title":{"rendered":"Eclipse: An End-to-End Platform for Low-Cost, Hyperlocal Environmental Sensing in Cities"},"content":{"rendered":"<p>This paper presents <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-eclipse\/\">Eclipse<\/a>, a platform for low-cost urban environmental sensing using solar-powered and cellular-connected devices. Dense sensor networks promise to monitor pollution at fine spatial and temporal resolutions, yet few cities have actually implemented such networks due to high costs and limited accuracy. We address these barriers by developing an end-to-end framework for urban air quality sensing with minimal infrastructure requirements. We designed an unobtrusive device that collects data on fine particulate matter (PM2.5), temperature, relative humidity, and barometric pressure. A modular design further includes four low-cost gas sensors \u2014 Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Carbon Monoxide (CO) \u2014 selected based on local priorities. We deployed 115 devices across Chicago, reliably collecting data for over 90% of expected sensor-hours from July 2 &#8211; September 30, 2021.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-759562\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-300x169.png\" alt=\"Urban Innovation: detail of the Eclipse sensor\" width=\"300\" height=\"169\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-343x193.png 343w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail-1280x720.png 1280w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2021\/07\/UrbanInnovation-Eclipse-sensor-detail.png 1400w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents Eclipse, a platform for low-cost urban environmental sensing using solar-powered and cellular-connected devices. Dense sensor networks promise to monitor pollution at fine spatial and temporal resolutions, yet few cities have actually implemented such networks due to high costs and limited accuracy. We address these barriers by developing an end-to-end framework for urban [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"ACM\/IEEE","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"2022 International Conference on Information Processing in Sensor Networks 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