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

• Autor(a) principal: Grilo, André Filipe Pêgas
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/129179
• topic: AGV; Indoor localization; fleet management; industry 4.0; IMU; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

The Industry 4.0 is a new revolution that is introducing a paradigm shift in the in dustry. Automation, decentralization and modulation are concepts that are becoming significantly more relevant, leading to a transformation in the industry. Namely, within the motor industry, the increase in the use of Automated Guided Vehicles (AGVs) is essential for there to be a bigger efficiency in intralogistics processes, since they allow automation in the transport of essential materials for this process, providing a better quality of service. However, some AGVs do not have sensory capabilities that are capable of providing data, in real time, regarding their status, thus making it impossible to apply the concept of industry 4.0, meaning, a connected factory, in these phases. Even though these AGVs do not possess said capabilities, which enable a constant monitoring, like their positioning, it is necessary to find solutions that would allow the data from them to be acquired for the monitoring, without being necessary an investment in more advanced AGVs. The proposed solution under this thesis, as an objective, is a contribution to the development of an AGV fleet manager, where it will be possible to monitor the entire process regarding the transport of batteries, between the sequencing zone, where the batteries are arranged and catalogued, and the assembly line, called point-of-fit, from 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 for the entire process, improving aspects related to automotive production. All this work is part of the European project BOOST 4.0, which was validated at Volkswagen Autoeuropa.