News result PLC Automation

3D isometric technical illustration of a modular Linux-based industrial controller with real-time PLC kernel and containerized edge computing layers

Linux-Based Industrial Controllers: Combining PLC Control an...

Explore how Linux real-time kernels, OCI container virtualization, and deterministic PLC runtimes coexist in modern industrial edge controllers without compromising hard real-time cycle jitter.
Multi-axis EtherCAT motion control system with synchronized servo drives and industrial controller in an automation panel

Designing Multi-Axis Motion Control Systems with EtherCAT

Discover how synchronized EtherCAT networks coordinate multi-axis motion control, servo drive integration, distributed clock timing, and commissioning best practices for packaging and robotics.
How Redundant Power Supplies Keep Your PLC Running Without Interruption

How Redundant Power Supplies Keep Your PLC Running Without I...

In industrial automation, even a momentary power loss can disrupt production. Redundant power supplies ensure your critical systems stay online.

Why Charcoal and Salt Are Essential in Earthing Pits?

Why Charcoal and Salt Are Essential in Earthing Pits?

Salt and charcoal are not just old-school tricks—they are powerful tools for building a safe, low-resistance earthing system. This blog explains how they work, why they matter, and how to maintain your earthing pit for long-term electrical safety. Learn more with real-world insights from plcdcspro.com, your trusted industrial automation supplier.

The Impact of AI on Traditional PLC Automation Devices

The Impact of AI on Traditional PLC Automation Devices

The rise of artificial intelligence (AI) is reshaping the landscape of automation. While traditional Programmable Logic Controllers (PLCs) excelled at repetitive tasks, AI brings new capabilities that extend far beyond simple automation. This revolution is not just on the horizon; it is already transforming manufacturing processes.

Traditional automation devices primarily focus on repetitive tasks, alleviating manual labor. However, AI automation tackles complex, non-repetitive tasks, such as polishing, cutting, and deburring. Learning robots can adapt and relearn processes, eliminating the need for extensive programming. The integration of AI enables manufacturers to navigate the complexities of modern production environments while remaining competitive.