Desenvolvimento de um sistema embarcado voltado ao gerenciamento da energia elétrica em processos industriais.

Abstract

This paper presents the development of an embedded system for monitoring electricity in industrial processes. The main objective of this study was to develop a methodology for managing electricity (monitoring, acquisition and analysis), through the collection of electrical parameters, using techniques that digital signal processing (DSP). The data collected allowed, quickly and accurately detect electrical disturbances, in addition to record electricity consumption in production processes thus enabling trace the demand curve of the firm. Initially, the study was conducted in the laboratory using prototypes and simulation tools, in order to prove the validity of the proposal. Later, it developed the embedded device (hardware and software) responsible for the acquisition and recording of signals using low-cost technologies, such as dsPIC microcontrollers and platforms like FriendlyARM® MINI2440. Finally, for offline analysis of the data were created two applications: one to run on general purpose computer (PC) using Matlab®; and another, derived from the first, to run on the embedded device. Both applications used as primary technique disturbances detection the Discrete Wavelet Transforms. As a result, creating a complete system for monitoring and analysis of electrical parameters, serving as a tool to aid the management of electricity in industrial processes. Finally, in order to demonstrate the effectiveness of this system, we performed a case study that included the installation in a row of tobacco processing, fed by a 500 kVA substation.