Edge computing presents a significant opportunity for process controls engineers by enabling localized data processing closer to the source, reducing reliance on cloud-based infrastructure.
This approach, Automation World wrote, minimizes latency, enhances cybersecurity through distributed architecture and decreases network load, ultimately improving system reliability.
Unlike traditional PLCs, HMIs or SCADA systems, edge computing can be implemented using cost-effective, small-scale computing devices, making digital transformation more accessible. By focusing on high-value use cases such as real-time machine visibility, machine-to-machine communication and data collection, process engineers can leverage edge computing to optimize production efficiency and streamline maintenance operations.
A practical example of edge computing in industrial automation is using a small computer with software like Node-Red to collect and push machine data to a cloud-based platform, providing enhanced operational insights. This low-cost, scalable approach allows manufacturers to integrate software-defined automation, enabling greater system flexibility and modularity.
Read more about edge computing insights in this article from Automation World.
