Xylem - Crowd Sourced Water Quality Monitoring
- Type of resource
- Date created
- [ca. June 2017]
The ME310 collection is a set of project reports from the ME310 course at Stanford University. Students enrolled in ME310 participate in a product design project over the course of an entire school year in collaboration with another team from a foreign university. ME310 students take on real world design challenges brought forth by corporate partners. Throughout one academic year, student teams prototype and test design concepts and in the end create a full proof-of-concept system that demonstrates their ideas.
Water will be one of the global challenges that defines the 21st century; not enough water quality data is being generated to address the large scale problems that the next generations will face. Xylem proposes a crowd-sourced, low-cost water quality monitoring system that incorporates multiple water quality parameters and a centralized system for collecting and organizing data as an important resource in facing the global challenge of water quality management. Through need finding, user testing, and iterative prototpying, Aalto and Stanford University, with help from Xylem liaisons and citizen science groups, propose a solution called ourWater comprised of ourWater Sensor, ourWater Deploy, ourWater App, and ourWater web application to address the technical challenge of sensing, collecting, and organizing water quality data into an easy-to-use, accessible, and robust system that can make the difference in the fight to address water issues.
- Preferred Citation
- Crowder, Hollis and Castano, Nicolas and Liu, Cheng and Kukko-Liedes, Ville and Hoang, Anh and Kyyronen, Niko and Bhat, Aalok. (June). Xylem - Crowd Sourced Water Quality Monitoring. Stanford Digital Repository. Available at: http://purl.stanford.edu/sx590rg4630
- Use and reproduction
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