Smart Water Symposium

Oral

397503 - Using Amazon Web Services (AWS) to enable real-time, remote sensing of biophysical and anthropogenic conditions in green infrastructure systems in Philadelphia, an urban application of the Internet of Things (IoT)

Monday, June 4
10:30 AM - 12:00 PM
Location: Lakeshore A
Co-Authors: Ziwen Yu, Drexel University – Sustainable Water Resource Engineering Laboratory; Franco Montalto, Drexel University – Sustainable Water Resource Engineering Laboratory; Matthew Fritch, Philadelphia, PA – Philadelphia Water Department; Stephen White, Philadelphia, PA – Philadelphia Water Department

Urban stormwater utilities are increasingly using decentralized “green” infrastructure (GI) systems to capture stormwater and achieve compliance with regulations. Because environmental conditions, and design varies by GSI facility, monitoring of GSI systems under a range of conditions is essential. Conventional monitoring efforts can be costly because in-field data logging requires intense data transmission rates. The Internet of Things (IoT) can be used to more cost-effectively collect, store, and publish GSI monitoring data. Using 3G mobile networks, a cloud-based database was built on an Amazon Web Services (AWS) EC2 virtual machine to store and publish data collected with environmental sensors deployed in the field. This database can store multi-dimensional time series data, as well as photos and other observations logged by citizen scientists through a public engagement mobile app through a new Application Programming Interface (API). Also on the AWS EC2 virtual machine, a real-time QAQC flagging algorithm was developed to validate the sensor data streams.

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397503 - Using Amazon Web Services (AWS) to enable real-time, remote sensing of biophysical and anthropogenic conditions in green infrastructure systems in Philadelphia, an urban application of the Internet of Things (IoT)



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