The advances of the Internet of Things, robotics, and Artificial Intelligence, to give just a few examples, allow us to imagine promising results in the development of smart buildings in the near future. In the particular case of elderly care, there are new solutions that integrate systems that monitor variables associated with the health of each user or systems that facilitate physical or cognitive rehabilitation. In all these solutions, it is clear that these new environments, usually called Ambient Assisted Living (AAL), configure a Cyber-Physical System (CPS) that connects information from the physical world to the cyber-world with the primary objective of adding more intelligence to these environments. This article presents a CPS-AAL for caregiving centers, with the main novelty that includes a Socially Assistive Robot (SAR). The CPS-AAL presented in this work uses a digital twin world with the information acquired by all devices. The basis of this digital twin world is the CORTEX cognitive architecture, a set of software agents interacting through a Deep State Representation (DSR) that stored the shared information between them. The proposal is evaluated in a simulated environment with two use cases requiring interaction between the sensors and the SAR in a simulated caregiving center.

In recent years, the joint advance of the Internet of Things and Artificial Intelligence is enabling challenging developments for Smart Cities and Communities (S&CC). In particular, the SmartCampus, as an essential part of S&CC, acquires a transverse protagonism. On the one hand, SmartCampuses are a realistic representation of more complex systems (i.e., intelligent cities or territories) where to deploy sensors and plan specific goals. Nevertheless, on the other hand, Smartcampuses allow the coexistence of different technologies and networks of experts that facilitate the development, testing, and evolution of technologies. This paper describes the Cyber-Physical System SmartPoliTech, an Internet of Things Framework, as part of a future smart campus. SmartPoliTech develops an innovative framework that facilitates communication between different systems, data visualization, consumption modeling, alert generation, and the awareness of sustainability and environmental issues. This framework is based on a Service-Oriented Architecture to control all processes, from hardware to decision-making systems. This paper provides a sustainable and intelligent water management system to predict water consumption using Gaussian Mixture Models as day-, month- and even hour-dependent functions based on this Cyber-Physical System. The proposed solution can be used in any facility, with significant benefits being foreseen in metrics such as the minimization of water wastage.

La situación actual de escasez de recursos energéticos, unido a la ineficiencia en el uso de los edificios, y al avance de la tecnología sugiere la implantación de sistemas inteligentes para un uso más sostenible. En este texto se expone el desarrollo de un sistema de información heterogéneo que permite la monitorización de las infraestructuras edificatorias, y la integración de datos en una plataforma digital de visualización, dentro de una arquitectura escalable y de fuentes abiertas. Se ha implementado en el caso de estudio del municipio del Casar de Cáceres, y en el ámbito del consumo eléctrico de los edificios públicos; este municipio cuenta con unos 4500 habitantes y 39 contratos de contadores públicos que se agrupan según cada edificio y su tipología de uso (sanitario, educativo, culturales, asistenciales, otros, y alumbrado público). El uso de estos indicadores facilitará el establecimiento de políticas de evaluación de los edificios. Para finalizar, estos flujos de datos facilitarán la gestión municipal y mejorará la calidad de los servicios ofrecidos, permitiendo además mejorar su eficiencia y el ahorro de recursos, tanto naturales como humanos y económicos.AbstractThe current situation of scarcity of energy resources, together with the inefficient use of buildings and the advance of technology, suggests the implementation of intelligent systems for a more sustainable use. This text presents the development of a heterogeneous information system that allows the monitoring of building infrastructures and the integration of data in a digital visualisation platform, within a scalable and open-source architecture. It has been implemented in the case study of the municipality of Casar de Cáceres, and in the field of electricity consumption of public buildings; this municipality has about 4500 inhabitants and 39 public meter contracts that are grouped according to each building and its type of use (health, education, cultural, welfare, other, and public lighting). The use of these indicators will facilitate the establishment of building evaluation policies. Finally, these data flows will facilitate municipal management and improve the quality of the services offered, as well as improving their efficiency and saving resources, both natural, human and economic.

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