Research Article
Simulation of Drinking Water Infrastructures Through Artificial Intelligence-Based Modelling for Sustainability Improvement
@INPROCEEDINGS{10.1007/978-3-031-57523-5_11, author={Carlos Calatayud Asensi and Jos\^{e} Vicente Bern\^{a} Martinez and Lucia Arnau Mu\`{o}oz and Vicente Javier Maci\^{a}n Cervera and Francisco Maci\^{a} P\^{e}rez}, title={Simulation of Drinking Water Infrastructures Through Artificial Intelligence-Based Modelling for Sustainability Improvement}, proceedings={Simulation Tools and Techniques. 15th EAI International Conference, SIMUtools 2023, Seville, Spain, December 14-15, 2023, Proceedings}, proceedings_a={SIMUTOOLS}, year={2024}, month={4}, keywords={WASUSI-MAS Water supply simulator Multi agent systems}, doi={10.1007/978-3-031-57523-5_11} }- Carlos Calatayud Asensi
José Vicente Berná Martinez
Lucia Arnau Muñoz
Vicente Javier Macián Cervera
Francisco Maciá Pérez
Year: 2024
Simulation of Drinking Water Infrastructures Through Artificial Intelligence-Based Modelling for Sustainability Improvement
SIMUTOOLS
Springer
DOI: 10.1007/978-3-031-57523-5_11
Abstract
The development of control systems for critical infrastructures requires testing and validating the proposals before using them in real environments. This work proposes the development of a new control system with an approach based on sustainability, which uses multi-agent systems as a basis, and which breaks away from traditional proposals focused on optimising energy costs. This new approach requires a thorough validation before its possible deployment, as it is based on distributed components that make independent decisions to generate complex emergent behaviour. In order to test its viability, a simulator has also been developed alongside the control system, which allows the behaviour of each agent to be analysed by subjecting it to tests using real data from the scenario to be controlled. Through this tool it is possible to observe each agent in the fulfilment of its functions, validate its behaviour, and check that the control system guarantees the supply of drinking water to a city, using the data obtained from that city as input. Through the simulator it is possible to analyse and represent different configurations of the control system over an infrastructure, thus being able to select the best option for the environment.
