The problem of access to machine information is a key aspect within the digitization of industrial processes promoted by the Industry 4.0 paradigm, and it is the IIoT technologies that lead to its implementation. With these technologies it is possible to connect ubiquitously with a controller and access a series of variables.
The course uses an industrial approach when analyzing the different methodologies to access data of the industrial process. It focuses on giving a clear vision of the architectures used that are having a greater impact in the framework of Industry 4.0. To this end, all the elements involved in the chain of transmission and exploitation of industrial data will be analysed: the different hardware architectures, software communication resources and the most used data protocols (MQTT, AMQP, OPC UA), and finally, their storage. With this, students should have a clear idea of what strategy and methodology is currently used when implementing data access in industrial environments.
