Water sustainability is critical to environmental sustainability, social stability and economic development. A major barrier to realizing water sustainability in manufacturing is the onerous nature of data collection and subsequent impact evaluation. In response a cyber-physical-system (CPS) architecture for real-time water footprint (WF) assessment is proposed, in which in-line smart sensing techniques collect data related to water and wastewater, and cloud storage and cloud computing are used for WF calculation and sustainability evaluation. The dynamic capabilities of a CPS can assist industry to decrease water use and water pollution, to reduce costs, and to lower its environmental footprint.
Funding
Loughborough University
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Procedia CIRP
Volume
99
Pages
543 - 548
Source
14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ˈ20)
This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/