Smart Factory Scenario in FCA Sample Clauses

Smart Factory Scenario in FCA. ‌ 4.1.1 Scenario description‌ For the Smart Factory scenario, the aim is the creation of innovative industrial processes, where parameters are measured, and their trend is analysed in order to allow a continuous monitoring and a predictive maintenance. The test bench focuses on the exploration of the application of Machine Learning techniques and algorithmic approaches using innovative technologies. This includes data acquisition systems, mainly relying on the FIWARE lane, as well as complex data analysis and processing, for predictive maintenance and increased energy efficiency. Smart Factory scenario background consists of a FIWARE lane with several components: • Data ingestion: IDAS GE to enable physical level to FIWARE (i.e. OPC UA, MQTT, etc.). Factory devices can be connected to FIWARE-based ecosystem using an IDAS agent or creating custom connectors. • Data bus: Orion Context Broker to manage context information. Factory data can be managed as context data, using NGSI data model. • Data processing: Xxxxxx XX to create complex events, elaborating raw data coming from devices producing information useful for process improvement. • Data persistence: Cygnus and QuantumLeap to store context data both on relational database like Postgres and time series database like Crate. • Data visualization: Knowage, WireCloud and Grafana to view context data with custom dashboards. The background and foreground components in this scenario are shown in the following Table 3. IDAS T4.2, T4.3, T4.4 FIWARE DONE BACKGROUND Orion Context Broker (OCB) T4.2, T4.3, T4.4 FIWARE DONE Cygnus T4.4 FIWARE DONE QuantumLeap T4.4 FIWARE DONE Knowage T4.4 FIWARE DONE Wirecloud T4.4 FIWARE DONE MongoDB T4.2, T4.3, T4.4 FIWARE DONE Grafana T4.3, T4.4 FIWARE / APACHE DONE 4.1.2 Business Process/es‌ The first scenario is about the Smart Factory applications developed in CRF, based on an innovative welding cell integrated with sensoring system, where the IT infrastructure is integrated with SCADA and other OT systems. A second scenario has been identified in order to cope with new equipment and solutions (e.g. new AGVs and collaborative workstations). 1. The functionalities expected by the use of MIDIH Digital Platform are: • Monitoring and identifying incoming events (i.e. machine breakdown or quality issues); • Visualizing and enabling decision making (i.e. update maintenance plan); • Trend analysis and abnormal behaviour early identification. 4.1.3 Data available‌ Process parameters and...
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