2024-03-28T14:33:18Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/72362023-03-17T11:23:39Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848
00925njm 22002777a 4500
dc
Corchado, Juan M.
author
Chamoso, Pablo
author
Hernández González, Guillermo
author
San Román Gutiérrez, Agustín
author
Rivas Camacho, Alberto
author
González Briones, Alfonso
author
Pinto Santos, Francisco
author
Goyenechea, Enrique
author
García Retuerta, David
author
Alonso Miguel, María
author
Bellido Hernández, Beatriz
author
Valdeolmillos Villaverde, Diego
author
Sánchez Verdejo, Manuel
author
Plaza Martínez, Pablo
author
López Pérez, Manuel
author
Manzano García, Sergio
author
Alonso Rincón, Ricardo S.
author
Casado Vara, Roberto Carlos
author
Prieto Tejedor, Javier
author
Prieta, Fernando de la
author
Rodríguez González, Sara
author
Parra Domínguez, Javier
author
Saberi Mohamad, Mohd
author
Trabelsi, Saber
author
Díaz Plaza, Enrique
author
García Coria, José Alberto
author
Yigitcanlar, Tan
author
Novais, Paulo
author
Omatu, Sigeru
author
2021-01
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 multifunctional 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.
http://hdl.handle.net/10259/7236
10.3390/s21010236
1424-8220
Smart cities
Smart cyberphysical platform
Data analysis
Data visualization
Edge computing
Artificial intelligence
Bike renting
Deepint.net: A Rapid Deployment Platform for Smart Territories