Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

An adaptive water consumption monitoring and conservation system

Alexopoulos, Theocharis, Marsh, Jacqueline, Llewellyn, Gareth and Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 2023. An adaptive water consumption monitoring and conservation system. Scholz, Steffen G., Howlett, Robert J and Setchi, Rossi, eds. Sustainable Design and Manufacturing Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022), Vol. 338. Smart Innovation, Systems and Technologies, pp. 191-200. (10.1007/978-981-19-9205-6_18)

Full text not available from this repository.

Abstract

With the emergence of IoT, smart water monitoring systems have become widely available. Their operation is typically related to the detection of leaks and to water supply network management. These systems collect a large amount of data that can be used in new ways to improve current services and to introduce new functionalities for the user’s health and safety. This paper is reporting the findings of a research project that developed a state-of-the-art water monitoring system and explored new ways to use the generated data and the system’s capabilities. The project found that by grouping water consumption data into hourly intervals improves user understanding and provides enough detail to identify usage patterns. In addition, exploitation of the unique characteristics of the pipeline that was used for trials led to the development of a new small-leak detection method. The work expands system’s application to user health and safety and proposes two more applications with their respective algorithms. The first application produces early notifications when people who live alone stop doing basic water consuming tasks and potentially require health assistance. The second application monitors and prevents the growth of Legionella in the water supply system.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Engineering
ISBN: 978-981-19-9204-9
ISSN: 2190-3018
Last Modified: 17 Jan 2023 17:00
URI: https://orca.cardiff.ac.uk/id/eprint/155907

Actions (repository staff only)

Edit Item Edit Item