Eventos Anais de eventos
COBEF 2023
12th Brazilian Congress on Manufacturing Engineering
Telemetry System in Electric Motors using Industry 4.0 Technologies
Submission Author:
Douglas Paula de Andrade , GO
Co-Authors:
Douglas Paula de Andrade, Jones Yudi Mori Alves da Silva
Presenter: Douglas Paula de Andrade
doi://10.26678/ABCM.COBEF2023.COF23-0089
Abstract
The Industry 4.0, potentially the fourth industrial revolution, has been driven by the need to provide real-time data and information on manufacturing processes in their entirety so that their equipment can operate with maximum efficiency and return on capital investments. These modern production systems are characterized by intense connectivity between the machines, endowed with ubiquitous and pervasive computational capacity. A group of technologies called Enablers has been the pillars of the development of Industry 4.0: Big Data, Artificial Intelligence, Additive Manufacturing, Internet of Things, Robotics, and Cyber-Physical Systems. By associating these technologies, it is possible to reduce costs without compromising quality and increasing productivity, creating the concept of smart manufacturing. This work aims to bring intelligence to the Edge, taking as a case study electric motors, fundamental equipment in industrial applications and whose efficient operation is essential. We simulate the instrumentation of an industrial electric motor, developing a verticalized architecture within the Industrial Internet of Things, and planning the design of components from the Edge to the Cloud when necessary. The paper features two distinct aspects: registration of tags via a web interface connected to PostgreSQL database, allowing easy equipment expansion without downtime or code changes, and a Python code structured as an object-oriented gateway, simplifying addition of new communication protocols without affecting existing ones. This system enables the motor to be an intelligent agent within the manufacturing system, actively sharing data and searching for information. Dynamically, the collected data can be stored locally or remotely in the Cloud, according to its criticality. With part of the intelligence at the Edge, industrial networks are unburdened, increasing their efficiency, security and robustness, besides facilitating the prevention of failures by the distribution of monitoring. The implementation of this system aims to increase the efficiency of engine operation and extend its useful life, reducing maintenance costs and unscheduled stops. Thus, companies can monitor engine performance in real-time and predict failures, collaborating with the compliance of regulations and safety standards in an industrial environment, achieving greater profitability and competitive advantages. As a result of this work, we have a modernization methodology for industrial electric motors, transforming them into active agents at higher manufacturing system levels.
Keywords
industry 4.0, IIoT, electric motors, telemetry, monitoring
