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.
