Análise de dados coletados por dispositivos de internet das coisas aplicada a sistemas embarcados

Abstract

The significant growth in the number of embedded systems – mainly those in an environment contextualized by the technological paradigm of the Internet of Things (IoT) – has been responsible for a massive generation of data with an intrinsic capabiliity to produce value that was largely unused until the turn of this century, for several reasons, many of them related to the barriers present in the development of microelectronic engineering in force at the time. In turn, nowadays the value can be obtained through the application of analysis techniques, which are possible because of the use of data mining algorithms that are responsible for extracting relevant information in a descriptive, prescriptive or predictive format. In this study, a review of the state of the data analysis processes in IoT systems is presented, explaining the behavior of the most commonly used methods, as well as considerations about the challenges and opportunities that arise in similar systems. Such content is supported by a compilation of recent works that focus on topics close to this research, in addition to the construction of a proof of concept based on the creation of a web system, which is conditioned by the exploration of data from groups of sensors connected to the Internet.