Xylem - Crowd Sourced Water Quality Monitoring
Abstract/Contents
- Abstract
- 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.
Description
| Type of resource | text |
|---|---|
| Date created | [ca. June 2017] |
Creators/Contributors
| Author | Crowder, Hollis | |
|---|---|---|
| Author | Castano, Nicolas | |
| Author | Liu, Cheng | |
| Author | Kukko-Liedes, Ville | |
| Author | Hoang, Anh | |
| Author | Kyyronen, Niko | |
| Author | Bhat, Aalok | |
| Advisor | Clemmons, Jessica | |
| Sponsor | Xylem Analytics |
Subjects
| Subject | Water |
|---|---|
| Subject | water quality |
| Subject | big data |
| Subject | citizen scientists |
| Subject | NGO |
| Subject | system |
| Subject | network |
| Subject | total coliform |
| Subject | pH |
| Subject | tubidity |
| Subject | easy-to-use |
| Subject | platform |
| Genre | Student project report |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- 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
Collection
ME310 Project Based Engineering Design
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- Contact
- engreference@stanford.edu
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