Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71925
Título: | Deepint.net: A rapid deployment platform for smart territories |
Autor(es): | Corchado, Juan M. Chamoso, Pablo Hernández, Guillermo Gutierrez, Agustín San Roman Camacho, Alberto Rivas González-Briones, Alfonso Pinto-Santos, Francisco Goyenechea, Enrique Garcia-Retuerta, David Alonso-Miguel, María Hernandez, Beatriz Bellido Villaverde, Diego Valdeolmillos Sanchez-Verdejo, Manuel Plaza-Martínez, Pablo López-Pérez, Manuel Manzano-García, Sergio Alonso, Ricardo S. Casado-Vara, Roberto Tejedor, Javier Prieto Prieta, Fernando de la Rodríguez-González, Sara Parra-Domínguez, Javier Mohamad, Mohd Saberi Trabelsi, Saber Díaz-Plaza, Enrique Garcia-Coria, Jose Alberto Yigitcanlar, Tan Novais, Paulo Omatu, Sigeru |
Palavras-chave: | smart cities smart cyberphysical platform data analysis data visualization edge computing artificial intelligence bike renting |
Data: | 2021 |
Editora: | Multidisciplinary Digital Publishing Institute |
Revista: | Sensors |
Citação: | Corchado, J.M.; Chamoso, P.; Hernández, G.; Gutierrez, A.S.R.; Camacho, A.R.; González-Briones, A.; Pinto-Santos, F.; Goyenechea, E.; Garcia-Retuerta, D.; Alonso-Miguel, M.; Hernandez, B.B.; Villaverde, D.V.; Sanchez-Verdejo, M.; Plaza-Martínez, P.; López-Pérez, M.; Manzano-García, S.; Alonso, R.S.; Casado-Vara, R.; Tejedor, J.P.; Prieta, F.d.l.; Rodríguez-González, S.; Parra-Domínguez, J.; Mohamad, M.S.; Trabelsi, S.; Díaz-Plaza, E.; Garcia-Coria, J.A.; Yigitcanlar, T.; Novais, P.; Omatu, S. Deepint.net: A Rapid Deployment Platform for Smart Territories. Sensors 2021, 21, 236. https://doi.org/10.3390/s21010236 |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/71925 |
DOI: | 10.3390/s21010236 |
ISSN: | 1424-8220 1 |
Versão da editora: | https://www.mdpi.com/1424-8220/21/1/236 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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sensors-21-00236-v2.pdf | 16,14 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons