RT Journal Article
T1 Deepint.net: A Rapid Deployment Platform for Smart Territories
A1 Corchado, Juan M.
A1 Chamoso, Pablo
A1 Hernández, Guillermo
A1 Gutierrez, Agustín San Roman
A1 Camacho, Alberto Rivas
A1 González Briones, Alfonso
A1 Pinto Santos, Francisco
A1 Goyenechea, Enrique
A1 Garcia Retuerta, David
A1 Alonso Miguel, María
A1 Hernandez, Beatriz Bellido
A1 Villaverde, Diego Valdeolmillos
A1 Sánchez Verdejo, Manuel
A1 Plaza Martínez, Pablo
A1 López Pérez, Manuel
A1 Manzano García, Sergio
A1 Alonso, Ricardo S.
A1 Casado Vara, Roberto
A1 Tejedor, Javier Prieto
A1 Prieta, Fernando de la
A1 Rodríguez González, Sara
A1 Parra Domínguez, Javier
A1 Mohamad, Mohd Saberi
A1 Trabelsi, Saber
A1 Díaz Plaza, Enrique
A1 Garcia Coria, Jose Alberto
A1 Yigitcanlar, Tan
A1 Novais, Paulo
A1 Omatu, Sigeru
AB This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris—Vélib’ Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques.
PB MPDI
SN 1424-8220
YR 2021
FD 2021-01-01
LK https://hdl.handle.net/20.500.14352/7442
UL https://hdl.handle.net/20.500.14352/7442
LA eng
NO POCTEP
NO DCSC/LAPASSION, CITIES
DS Docta Complutense
RD 21 abr 2025