Coleta de dados em veículos guiados automaticamente: uma proposta de solução para monitoramento de sinais dos agv’s de uma indústria automotiva usando internet das coisas

Abstract

Competition in the manufacturing industry over time imposes increasingly bolder service needs on the supply chain, making logistics resources more efficient. In this context, industrial vehicles responsible for this service have been widely used, especially unmanned ones, the so-called Automatic Guided Vehicles (AGV). The large-scale use of AGV vehicles creates a strong dependence on the manufacturing area as they become the main source of internal supply of parts and components and consequently brings challenges for vehicle monitoring. AGV vehicles need to be periodically monitored to ensure the integrity of their components and thus provide the necessary safety when carrying out their activities. In proprietary AGVs, there is generally the provision of AGV fleet management solutions that are sold together with their equipment, these are closed and have little parameterization as they are not associated with the reality of industrial manufacturing. This project envisages the development of a model for collecting important signals using a IoT device, produced by AGVs whose variables are crucial to guarantee the health of the equipment and consequently the robustness of the entire internal supply chain, minimizing breakdowns and providing data for carrying out scheduled stops. The collection model is based on the development of a Minimum Viable Product (MVP), whose device created will be embedded with sensors, and which, coupled to the AGV, will have the role of collecting the important quantities that guarantee the health of the vehicle. Collection values with important variations may indicate behaviors that deviate from normality and when stored in a database will provide the ability for historical analysis and comparison over time. Variations in monitored components may suggest maintenance needs, component degradation, operation failures or even improper operating conditions. The application of the model will take place in a practical way in an automotive industry in the region of Betim/MG, a place where the industry in question is responsible for producing its own AGV's, whose MVP will be validated in a controlled