Abstract
Water as a resource is becoming more scarce with South Africa having several provinces being struck with droughts. Up to 30% of water is lost through leaks in water distribution networks. It is common practice to monitor water usage in large water distribution networks. These monitoring systems unfortunately lack the ability to alert on high flow rates and detect water leaks unless the data is reviewed manually. The paper will explore statistical and Artificial Intelligence approaches to test the viability to detect leaks. This will can then be used as an alerting team to improve operational efficiencies of small teams and reduce repair time of leaks and thus reduces water lost through leaks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alwis, R.: Introduction to confusion matrix [classification modeling]. https://medium.com/tech-vision/introduction-to-confusion-matrix-classification-modeling-54d867169906
Baker, A.: What it’s like to live through cape town’s massive water crisis. https://time.com/cape-town-south-africa-water-crisis/
Boschetti, A., Massaron, L.: Python Data Science Essentials. Packt Publishing, Birmingham (2015)
Guppy, L., Anderson, K.: Global Water Crisis: The Facts. University Institute for Water, Environment and Health, pp. 1–16, September 2017
Joshi, P.: Artificial Intelligence with Python. Packt Publishing (2017). https://books.google.no/books?id=O1AoDwAAQBAJ
Mouton, F., Teixeira, M., Meyer, T.: Benchmarking a mobile implementation of the social engineering prevention training tool. In: Information Security for South Africa (ISSA), pp. 106–116, August 2017. https://doi.org/10.1109/ISSA.2017.8251782 (2017)
Raschka, S.: Python Machine Learning. Packt Publishing (2015)
The United Nations: Goal 6: Ensure Access to Water and Sanitation for All. https://www.un.org/sustainabledevelopment/water-and-sanitation/
The Water Project: Water in Crisis - South Africa. https://thewaterproject.org/water-crisis/water-in-crisis-south-africa
Welch, C.: Why Cape Town is Running Out of Water, and Who’s Next. https://www.nationalgeographic.com/news/2018/02/cape-town-running-out-of-water-drought-taps-shutoff-other-cities/
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
de Coning, A., Mouton, F. (2020). Data Processing Automation for Bulk Water Supply Monitoring. In: Kreps, D., Komukai, T., Gopal, T.V., Ishii, K. (eds) Human-Centric Computing in a Data-Driven Society. HCC 2020. IFIP Advances in Information and Communication Technology, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-030-62803-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-62803-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62802-4
Online ISBN: 978-3-030-62803-1
eBook Packages: Computer ScienceComputer Science (R0)