Modeling and Control of Drinking Water Supply Infrastructures Through Multi-Agent Systems for Sustainability

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Carlos Calatayud Asensi, José Vicente Berná Martínez, Lucía Arnau Muñoz, Francisco Maciá Pérez
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Abstract

Traditionally, drinking water supply infrastructures have been designed to store as much water as possible and to do so during the energy cheap hours. This approach is unsustainable today. The use of digital systems capable of modeling the behavior of infrastructures and the creation of intelligent control systems can help to make drinking water supply systems more efficient and effective, while still meeting minimum service requirements. This work proposes the development of a control system, based on multi-agent systems (MAS), capable of generating an intelligent control over a drinking water infrastructure, based on the use of local interests of the agents and with an emergent behavior coherent with the needs. To validate the proposal, a simulator based on the infrastructures of a medium-sized Spanish city of 5000 inhabitants has been built and the control has been simulated using the MAS. The results show how the system can maintain the objectives set, handling unknown situations, and facilitating the development of future physical systems based on a just-in-time paradigm that guarantees sustainability, as it allows the generation of virtualizations of the infrastructures and their behavior, thus being able to study the best option for an infrastructure to resolve a supply situation.

通过多代理系统对饮用水供应基础设施进行建模和控制以实现可持续性
传统上,饮用水供应基础设施的设计目的是尽可能多地储水,并在能耗低的时段储水。如今,这种方法已难以为继。使用能够模拟基础设施行为的数字系统和创建智能控制系统,有助于提高饮用水供应系统的效率和效益,同时还能满足最低服务要求。这项工作建议开发一个基于多代理系统(MAS)的控制系统,该系统能够对饮用水基础设施进行智能控制,其基础是利用代理的本地兴趣和符合需求的新兴行为。为了验证该建议,我们以西班牙一个拥有 5000 名居民的中型城市的基础设施为基础,建立了一个模拟器,并使用 MAS 对控制进行了模拟。结果表明,该系统能够保持既定目标,处理未知情况,并促进未来基于及时范例的物理系统的发展,从而保证可持续性,因为它允许生成基础设施及其行为的虚拟化,从而能够研究基础设施解决供应问题的最佳方案。
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来源期刊
CiteScore
1.90
自引率
11.10%
发文量
71
审稿时长
16 months
期刊介绍: The International Journal of Software Engineering and Knowledge Engineering is intended to serve as a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of software engineering and knowledge engineering. Three types of papers will be published: Research papers reporting original research results Technology trend surveys reviewing an area of research in software engineering and knowledge engineering Survey articles surveying a broad area in software engineering and knowledge engineering In addition, tool reviews (no more than three manuscript pages) and book reviews (no more than two manuscript pages) are also welcome. A central theme of this journal is the interplay between software engineering and knowledge engineering: how knowledge engineering methods can be applied to software engineering, and vice versa. The journal publishes papers in the areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, formal methods of specification, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, logic programming, expert systems, knowledge-based systems, distributed knowledge-based systems, deductive database systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, reverse engineering in software design, and applications in various domains of interest.
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