Skip to main content

A SWE Architecture for Real Time Water Quality Monitoring Capabilities Within Smart Drinking Water and Wastewater Network Solutions

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9156))

Abstract

The world is facing a water quantity and quality crisis. These global concerns are addressing water sector operators to smart technological solutions that realize the so-called smart drinking water and wastewater networks. Water quality preservation is one of the essential services that smart water utilities have to guaranteed. The water quality monitoring systems include a variety of in situ sensors with several sensor protocols and interfaces. Sensor integration as well as real time sensor readings accessibility and interoperability across the interconnected layers of functionality needed for a comprehensive smart water network solution are the challenges should be tackled. The objective of this research work has been to develop a standardized OGC SWE (Sensor Web Enablement) architecture that enables the integration and real time access to the various continuous and networked sensors can be installed along drinking water and wastewater networks, and real time sensor data browsing, querying and analyzing capabilities across the components of a smart water network solution. Furthermore, a web based geo-console and a QGIS SOS client application have been developed ad hoc for supporting utilities to effectively manage their water treatment and optimize quality-testing processes.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. White paper online: Water 20/20 Bringing Samrt Water Network in Focus by Sensus. https://sensus.com/smartwaternetworks

  2. Boulos, P.F., Wiley, A.N., Colo, B.: Can We Make Water Systems Smarter? (2013). Online paer: http://dx.doi.org/10.5991/OPF.2013.39.0015

  3. HallJeffrey, J.S., Szabo, G., Panguluri, S., Meiners, G.: Distribution System Water Quality Monitoring: Sensor Technology Evaluation Methodology and Results. A Guide for Sensor Manufacturers and Water Utilities. Water Infrastructure. Environmental Protection Agency - EPA 600/R-09/076 (2008)

    Google Scholar 

  4. Fattoruso, G., et al.: Simulation of Chlorine Decay in Drinking Water Distribution Systems: Case Study of Santa Sofia Network (Southern Italy). In: Di Natale, C., Ferrari, V., Ponzoni, A., Sberveglieri, G., Ferrari, M. (eds.) Sensors and Microsystems. LNEE, vol. 268, pp. 467–470. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  5. Fattoruso, G., et al.: Use of Kinetic Models for Predicting DBP Formation in Water Supply Systems. In: Di Natale, C., Ferrari, V., Ponzoni, A., Sberveglieri, G., Ferrari, M. (eds.) Sensors and Microsystems. LNEE, vol. 268, pp. 471–474. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  6. Corcoran, E., Nelleman, C., Bajer, E., Bos, R., Osborn, D., Savelli, H.: Sick Water? The central role of wastewater management in sustainable development. A Rapid Response Assessment. United Nations Environment Programme, UN-HABITAT, GRID-Arendal (2010). ISBN: 978-82-7701-075-5

    Google Scholar 

  7. De Vito, S., Fattoruso, G., et al.: An integrated infrastructure for distributed wastewater quality monitoring and decision support. In: Proceedings of the AISEM, Trento , February 3-5, 2015

    Google Scholar 

  8. Glasgowa, H.B., Burkholdera, J.M., Reeda, R.E., Lewitusb, A.J., Kleinmana, J.E.: Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies. Journal of Experimental Marine Biology and Ecology 300, 409–448 (2004)

    Article  Google Scholar 

  9. Bröring, A., Echterhoff, J., Jirka, S., Simonis, I., Everding, T., Stasch, C., Liang, S., Lemmens, R.: New Generation Sensor Web Enablement. Sensors 11, 2652–2699 (2011)

    Article  Google Scholar 

  10. Gibbons, P., Karp, B., Ke, Y., Nath, S., Seshan, S.I.: An Architecture for a Worldwide Sensor Web. IEEE Pervasive Comput. 2, 22–33 (2003)

    Article  Google Scholar 

  11. Delin, K., Jackson, S., Some, R.: Sensor Webs. NASA Tech. Briefs 23, 90 (1999)

    Google Scholar 

  12. Delin, K.: The Sensor Web: A Macro-Instrument for Coordinated Sensing. Sensors 2, 270–285 (2001)

    Article  Google Scholar 

  13. Shafi, S., Reshi, A.A.: Real Time Sensor Web Enabled Water Quality Monitoring System Using Service Oriented Architecture (SOA). International Journal of Scientific & Engineering Research 3(5) (2012)

    Google Scholar 

  14. Jirka, S., Bröring, A., Stasch, C. Applying OGC Sensor Web Enab lement to Risk Monitoring and Disaster Management. Online paper

    Google Scholar 

  15. 52° North Initiative for Geospatial Open Source Software GmbH

    Google Scholar 

  16. 52 North Sensor Web Community. http://52north.org/communities/sensorweb

  17. GeoServer: http://geoserver.org/

  18. PostgreSQL/PostGIS: http://postgis.net/

  19. QTCreator: https://qtproject.org/wiki/Category:Tools::QtCreator

  20. GeoExt 2: http://geoext.github.io/geoext2/

  21. Fattoruso, G., Tebano, C., Agresta, A., Buonanno, A., De Rosa, L., De Vito, S., Di Francia, G.: Applying the SWE Framework in Smart Water Utilities Domain. In: Compagnone, D., Baldini, F., Di Natale, C., Betta, G., Siciliano, P. (eds.) Sensors. LNEE, vol. 319, pp. 321–325. Springer, Heidelberg (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Grazia Fattoruso .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Fattoruso, G. et al. (2015). A SWE Architecture for Real Time Water Quality Monitoring Capabilities Within Smart Drinking Water and Wastewater Network Solutions. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9156. Springer, Cham. https://doi.org/10.1007/978-3-319-21407-8_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21407-8_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21406-1

  • Online ISBN: 978-3-319-21407-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics