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Deepint.net: A Rapid Deployment Platform for Smart Territories.

Juan M Corchado1,2,3, Pablo Chamoso1,2, Guillermo Hernández2

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Summary
This summary is machine-generated.

This paper introduces an efficient cyberphysical platform for smart territory management. It integrates diverse data sources and artificial intelligence for optimized decision-making, enhancing knowledge management systems.

Keywords:
artificial intelligencebike rentingdata analysisdata visualizationedge computingsmart citiessmart cyberphysical platform

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Area of Science:

  • Cyberphysical systems
  • Smart territory management
  • Artificial intelligence applications

Background:

  • The concept of smart cities is evolving towards intelligent neighborhoods and districts.
  • Managing entire megacities is being replaced by a focus on smaller, intelligent territories.
  • There is a growing need for adaptable knowledge management systems in these evolving territories.

Purpose of the Study:

  • To present an efficient and smart cyberphysical platform for managing smart territories.
  • To describe the architecture and functionalities of this novel platform.
  • To validate the platform's operation through a real-world case study.

Main Methods:

  • The platform facilitates data acquisition, management, representation, and dashboard configuration.
  • It integrates a comprehensive artificial intelligence suite for data analysis (classification, clustering, forecasting, optimization, visualization).
  • Compatibility with edge computing allows for distributed intelligence and the use of intelligent sensors.

Main Results:

  • The platform successfully managed the bike renting service of Paris-Vélib' Métropole in a case study.
  • It demonstrated the ability to utilize diverse data sources, including IoT sensors and databases.
  • Explainable artificial intelligence models were used to optimize expert decisions.

Conclusions:

  • The platform enables smart territories to develop adaptive knowledge management systems.
  • It supports the use of multiple data types and efficient computational and AI algorithms.
  • The platform's global intelligence can coordinate with edge computing nodes for advanced data processing.