Abstract
In an effort to increase handpump reliability, the Messiah College Collaboratory and the Department of Computer and Information Science are developing the Intelligent Water Project (IWP) system. IWP measures and reports the functionality of handpumps and volume of water extracted on two-hour intervals daily. Additionally, IWP will measure groundwater levels which can be used to evaluate well yields. Data from handpumps is automatically collected and transmitted to a remote database. Once in the database, the data is analyzed and distributed to stakeholders via web and mobile applications and customizable alerts. Besides monitoring water extraction, handpump performance, and borehole health, the IWP system processes data to alert stakeholders of failure or degrading conditions (imminent failure). Coupled with appropriate field management processes, this information can lead to improved handpump availability and lowered cost of ownership. The key goal is to dramatically increase the reliability of handpumps. A secondary goal is the collection of handpump data from all IWP enabled pump sources providing a rich resource of data to enabling WASH practitioners, managers, hydrologist and donors to make more informed decisions. The purpose of this paper is to highlight the key IWP software design considerations and to discuss the key software design decisions made and the rationale for the same.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
RWSN: Handpump data 2009 (2009)
Nejmeh, B., Weaver, D.S.: Leveraging scrum principles in collaborative, inter-disciplinary service-learning project courses. In: Frontiers in Education Conference (FIE), pp. 1–6. IEEE (2014)
Weaver, D.S., Nejmeh, B., Vader, D., Beers, T.: The intelligent water project: bringing understanding to water pumps in Africa. In: Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), vol. 1, pp. 211–218 (2016)
Beers, A.Q., Vader, D.T.: India mkii pump sustainability study report. Technical report, Messiah College (2013)
MacArthur, J.: Handpump standardisation in Sub-Saharan Africa (2015)
Sansom, K., Koestler, L.: African handpump market mapping study (2009)
Crockford, D.: The application/JSON media type for Javascript object notation (JSON)(2006). http://tools.ietf.org/html/rfc4627
Nejmeh, B.A., Dean, T.: The charms application suite: a community-based mobile data collection and alerting environment for HIV/AIDS orphan and vulnerable children in Zambia. Int. J. Comput. ICT Res. 46 (2010)
Upside Wireless (2016). http://www.upsidewireless.com/
New Digital Group, Inc.: Smarty template engine (2016). http://www.smarty.net/
Google: Google maps APIs (2016). https://developers.google.com/maps/documentation/javascript/
esri.com: About Esri (2016). http://www.esri.com/about-esri#who-we-are
Acknowledgements
We acknowledge our hardware counterparts, Dr. David Vader and Anthony Beers along with various Computer Science and Collaboratory students for their work on this project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Weaver, D.S., Nejmeh, B. (2017). The Software Design of an Intelligent Water Pump. In: Grueau, C., Laurini, R., Rocha, J. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2016. Communications in Computer and Information Science, vol 741. Springer, Cham. https://doi.org/10.1007/978-3-319-62618-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-62618-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62617-8
Online ISBN: 978-3-319-62618-5
eBook Packages: Computer ScienceComputer Science (R0)