Analysis of AGV indoor tracking supported by IMU sensors in intra-logistics process in automotive industry

Industry 4.0 is a new revolution that is introducing a paradigm shift in the industry. Automation, decentralization, and modulation are concepts that are becoming significantly more relevant, changing the industry. In the motor industry, the use of Automated Guided Vehicles (AGVs) is essential to improve efficiency of intralogistics processes, since they allow automation of essential material transportation for this process, providing a better quality of service. However, some AGVs do not have sensory capabilities that can provide data, in real time, regarding their status. Even though these AGVs do not possess those capabilities, it is necessary to find solutions that would allow the data to be acquired for the monitoring, without an investment in more advanced AGVs. This paper provides a contribution to the development of an AGV fleet managing system, where it will be possible to monitor the battery transportation process, providing a quantitative and qualitative analysis of the entire process, as well as the detection of failures/anomalies that may occur during the same. This solution will bring a greater capacity for optimization and efficiency, improving aspects related to automotive production. All this work is part of the European project BOOST 4.0, which was validated at Volkswagen Autoeuropa.