Plataforma de análise e visualização de dados para sistemas IoT industriais baseada em métodos de big data

Abstract

The present work is a part of the project ON SURF, which proposes a model of analysis and visualization of data using temperature and pressure sensors at plastic injection machines. The objective is to monitor the data collected from the manufacture process of plastic molds. The project consists of the three steps. The first step is responsible for the signal conditioning of the sensors collecting the data. The second step is responsible for the signal aquisition, developing a scanning and sending signal module to a concentrator through comunication. The third step, which is the main subject of this thesis, is the data concentrator and the analysis and data visualization platform, that collects the data sent by aquisition, store and present them into a local platform. This study showed itself as a good solution for data analysis and visualization, having an effective time of response even when operating with large data scale. The tests were effective at a local environment, or by Ethernet, yet, depending on the web there was a larger delay on the data visualization. The model can still be improved, perfecting the analysis process, and the data cleaning which are no longer in use.