Remote Sensing, Mobile Applications and Open Data Science Tools for Better Monitoring of Sanitation Systems

8 pages•Published: September 20, 2018

Lars Schoebitz, Stuart Woolley, Jaime Sanchez Ferragut, Alison Weber, Jeff Hallowell, Jeff Wong and Jeff Piascik

Abstract

Safely managed sanitation services, monitored by the United Nations 2030 Agenda for Sustainable Development, require data on treatment of excreta from sanitation systems. This data is not readily available for the majority of United Nations member states and has led to estimates being established mostly for those countries where conventional sewer-based sanitation systems are prevalent. Presented in this article is a decentralized portable treatment unit for the safe treatment of excreta and sludges from non-sewered sanitation systems. Data from daily operations is generated from a variety of sensors, each collecting approximately ten data points per minute. Innovative cloud- based methods and data science tools are implemented to collect, store and analyze data. A software platform was developed that offers real-time reporting and alerts to operators and supervisors, allows for remote operation and control, and provides a multi tier architecture that enables user interaction through a mobile or web interface. Key Performance Indicators and results from long-term analytics are presented to quantify the effectiveness of the treatment process and provide relevant information to improve daily operations.

Keyphrases: biochar, cloud application, faecal sludge, pyrolysis, reproducibility, sensor

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1885-1892.

Links:	https://easychair.org/publications/paper/tpzh
	https://doi.org/10.29007/31tr

BibTeX entry

@inproceedings{HIC2018:Remote_Sensing_Mobile_Applications,
  author    = {Lars Schoebitz and Stuart Woolley and Jaime Sanchez Ferragut and Alison Weber and Jeff Hallowell and Jeff Wong and Jeff Piascik},
  title     = {Remote Sensing, Mobile Applications and Open Data Science Tools for Better Monitoring of Sanitation Systems},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/tpzh},
  doi       = {10.29007/31tr},
  pages     = {1885-1892},
  year      = {2018}}

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