DIDA (Dual IIoT Data Adquisition and Analysis Platform) is a registered software that includes a group of technologies that automatize the deployment of the acquisition, storage, visualization, monitorization and analysis of industrial data. In addition to the important reduction of the required time for the deployment of such types of solutions, DIDA is based on the dual approach where implementation could be done both on the basis of traditional code development, and the low-code paradigm, in which a user can configure the system using graphical interfaces on the basis of its requirements. In such a way, the learning curve to deploy and maintain the platform is reduced, but without limiting advanced functionalities required in more complex scenarios. DIDA is developed on the basis of the integration of Open Source technologies in a modular way based on containers, helping in its deployment, future maintenance and adaptation of specific requirements if needed. DIDA can help with the following functionalities: • Communication using industrial (OPC UA, Modbus, etc.) and IT (MQTT, AMQP, etc.) protocols • Acquisition of data captured by industrial equipment such as PLCs. • Preprocessing and early analysis of data for alarm generation, cleaning tasks, metadata aggregation, etc • Compatibility with data capture through all the life cycle of industrial processes • Persistency of several types of data (relational, JSON, time series) • Data interactive visualization • Data monitoring and personalized alarm generation • Capability of integration of IA-based algorithms for data analysis • Both Edge and cloud deployment
Deployment and Application
Developments
Dual IIoT Data Adquisition and Analysis Platform
The software platform includes a set of Open Source technologies to automate the deployment of industrial data acquisition, storage, visualization, monitoring and analysis processes.
Data acquisition, preprocessing, early analysis and persistence
Integration with AI algorithms
Visualization and monitorization for alarm generation