Poseidone

The research project aims to build an open source platform model for continuous monitoring of the water system, providing an opportunity to drastically break the pattern typically imposed by the commercial production cycle of large multinational licensing companies, which today hold a monopoly on water management and monitoring in Italy, Sardinia and the world at large.

Let us assume that over the past decade the number of devices connected to the Internet has increased steadily and continuously, reaching the seemingly impressive number of six billion.

The trend is for this number to reach the figure of 20.8 billion by 2020, of related elements. This population of objects/elements is and will be extremely diverse in terms of their physical characteristics, their usage patterns, and the communication protocols used. In addition, the applications running on platforms using these devices are constantly evolving as a result of changes in user needs. It is necessary to emphasize that in the context of smart, modern Smart Cities, the problem of water monitoring will dictate an efficient and ideally zero-loss network.

This criterion will be of paramount importance in calculating the efficiency and effectiveness of the city itself. All cities today feel the need to optimize perhaps the most critical natural resource at the moment. Energy, on the other hand, can be produced in many ways, but water is a resource that, depending on the area … geography, is defined as critical or critical to the survival of the species.

The ability of an IoT system to be intelligent, to be able to learn and learn, to be able to provide data and information in real time, will be a key aspect that will determine the success or otherwise of current and future IoT solutions, as those who can best interpret it will be able to make the best use of existing devices and infrastructure in the field and those in the deployment pipeline. The context should be dynamic, flexible, non-robust, and adaptive. In fact, an additional factor the project focuses on is the application of a machine-learning platform.
In Anglo-Saxon terminology, we talk about learning capabilities when we say words like Machine Learning, or better yet, Artificial Intelligence.