Deepint.net: A Rapid Deployment Platform for Smart Territories

Abstract

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.

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

“…The upcoming digital urban infrastructure that will be supporting future societies will intrinsically be based on AI [118]. This is evident from the work on the sixth-generation (6G) networks with extreme-scale ubiquitous AI services through the next-generation softwarization, platformization, heterogeneity and configurability of networks [119][120][121]. Such infrastructure will provide unimaginable opportunities for urban innovation.…”

Similarity approximation of Twitter Profiles

“…In the future, investigation of the role of gender and similarity of users on Twitter is on the plan, also, combining the information from different social media platforms to create a general purpose social meida analytical platform based on the deepint.net platform, supporting all types of data and contains a full suite of artificial intelligence techniques for data analysis, including data classification, clustering, prediction, optimization, and visualization techniques [43] is on the plan. The abilities provided by deepint make it a perfect choice for implementing the proposed model.…”

An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection

“…This article presents the deepin.net platform [11] and how it has been used to implement a model that facilitates the maintenance of social distance when walking around a city. Many cities have cameras to guarantee security and/or facilitate decision-making with respect to, for example, traffic, frequency of cleaning, etc.…”