Summary
Highlights
Edge Computing involves processing data closer to its source rather than relying on centralized cloud servers. This approach differs from cloud computing, which sends data to remote centers for processing, though both can work together.
Edge computing reduces data travel time, leading to faster response times crucial for real-time industrial automation decisions. An example is traffic control, where immediate actions can be taken locally without sending data to a distant cloud.
Edge devices perform local edge computing and are positioned near the data source. These include industrial IoT gateways, industrial PCs, and edge controllers. Examples are the Siemens SIMATIC IoT2040, Phoenix Contact EPC1522, and Dell EMC PowerEdge XE2420.
The Phoenix Contact EPC1522 is a programmable edge device controller that supports various programming languages and protocols. It can collect data from sensors and PLCs, store and analyze it locally using databases like InfluxDB or MySQL, and create alarm management systems.
An edge controller collects temperature data to initiate immediate actions and support predictive maintenance. Using Node-RED, the system reads temperature values from sensors, triggers an alarm if a set point is exceeded, and sends collected data via MQTT to the cloud for further analysis.
Edge computing processes data closer to the source for immediate action, providing quick decisions. Edge devices collect data from sensors and PLCs using various protocols. The video is sponsored by RealPars Business Membership, offering industrial automation training.