Performance Evaluation of an Edge OBD-II Device for Industry 4.0

The Internet of Things (IoT) has been revolutionizing several traditional economic sectors as is the case of the industrial ecosystem. This revolution coined a newly emerging area widely known as Industry 4.0. The main benefits are related to creating value during the entire product lifecycle and customer feedback, which is particularly relevant to the automotive industry. Thus, this paper investigates a performance evaluation of an Edge OBD-II device which collects data from vehicles in an autonomous way in order to provide customer feedback and tracking. Different sets of OBD-II Parameter IDs (PIDS), responsiveness and driver behavior, were the metrics evaluated. The experiments were performed using three vehicles in urban and highway areas in the city of Natal, Brazil. For validation purposes, the results obtained from vehicles were compared with an OBD-II Emulator which demonstrated the accuracy of experiments.