Iot and Ai-based Predictive Maintenance System Design for Express Auto Repair Shops

The purpose of this document is to highlight the existing issuecaused by a lack of knowledge about the actual condition ofmachinery and precise monitoring in an express mechanicworkshop. This workshop consists of mechanical maintenanceequipment such as vehicle lifts, balancers, aligners, and othercommon machinery in such work environments. The datacollected from these machines are classified and processedusing Artificial Intelligence, specifically Machine Learning, byemploying a tabulation and interpretation algorithm alongsideIoT (Internet of Things) through the instrumentation ofthese machines with sensors appropriate to theirmechanical operation. This facilitates and enables thecreation of predictive maintenance plans as well as operationalschemes that help reduce operational costs, maintenanceexpenses, and energy consumption of the workshopequipment. The system innovatively uses a modular approachwithout requiring intervention or modification of themachines, allowing their interconnectivity with a computerthat automatically manages the collected data. This results in aclear view of the usage of each component, providingcritical information for generating predictive maintenancestrategies.