Flexible system architecture used to collect and store signals acquired by IoT devices

Part of the effort to develop predictive maintenance systems, especially when Digital Twins are used as part of this effort, special attention is paid to the data acquisition using IoT devices, data that uses as inputs for the predictive algorithms. Usually when a new IoT device is connected to a data management system, several configurations and sometimes even code changes should be made, which increase the implementation costs and the implementation duration. The goal of this paper is to propose an architecture for a data management system that permits to connect a new IoT device to it such that the configurations to be made automatically on demand and to allow the IoT device to push the acquired data without any other intervention.