Uso da manutenção preditiva como forma de prevenção de incêndio em filtros de mangas

Abstract

In this work, it is presented how predictive maintenance can assist in the prevention of fire in a Baghouse Filter of the lead oxide production process of an automotive battery manufacturing plant. To identify the root causes of the problem, the Kaizen methodology was used as the basis. After identifying the causes, an embedded system was developed with data transmission via wi-fi capable of obtaining data from temperature sensors connected to the filter and sending them to a cloud storage service over the internet. A web application was also developed to enable interaction with the user and collect data from the monitoring system, allowing the visualization of the temperature in real time and historical data through a desktop, smartphone or tablet. The developed system is also capable of sending warning signals whenever the filter temperature exceeds the maximum allowed temperature. An analysis was also carried out, in which it was necessary to change the filter bags for bags with greater thermal resistance and to adjust the sleeve cleaning system. The monitoring system proved to be efficient and responsive in sending data and temperature alerts and the improvements applied proved to be viable from an economic, safety and environmental point of view. The application of the improvements developed in this work generated an annual gain of R $ 500,000.00 for the battery manufacturing plant