Aplicação de internet das coisas em eletrocentros industriais

Abstract

In this project, Internet of Things principles were used to collect data from energy management and distribution systems in internal cubicles, located in industrial electrocenters. The cybersecurity of this process is guaranteed from the manufacturing environment to the cloud. For this purpose, a primary data collector was created. This collector reads electrical equipment through wired connections, going through an initial stage of data processing. Subsequently, the data is sent wirelessly to a data flow manager. This is particularly useful since there may be multiple collectors in operation. In the data flow manager, additional processing takes place in the concept of fog computing, before the data is forwarded to the cloud, using the internet. Unlike industrial automation systems, which often control equipment from control rooms far from the processes, electrical systems in substations are operated in close proximity to high voltage cubicles. Generally, these systems are considered local, with no external connections. The analysis of the values of these systems usually only occurs after failures, requiring physical access to the interior of the substations or electrocenters to view the system variables. The development of the solution followed a sequential approach based on three-tier architecture. The solution was divided into device layer, communication layer and application layer stages, each with its own study, definition and development phases. Development progress was accompanied by increasingly comprehensive testing as the layers were interdependent. With the development completed, performance tests were conducted, with emphasis on Quality of Service adjustments for MQTT messages. Even using open source hardware and software, it was possible to validate the solution in its entirety and demonstrate its flexibility. Furthermore, the project opened doors for future prediction work, indicating a promising field of research and development.