Machine control networking is built on consistent data delivery of data between controllers, sensors and actuators. TSN is one way to ensure that deterministic control information can be prioritized and delivered on-time while simultaneously allowing non-critical forms of application data to coexist on the same network.

Time Sensitive Networks in combination with Profinet provides mechanisms to form an optimal architecture for AI applications. Compared to separate networks for field communication and IT, there are significant advantages for existing and new applications.

With Time-Sensitive Networking creating a standard, unified network that supports different devices, IT and OT convergence are able to require fewer nodes, streamline cabling, and simplify maintenance. These benefits are realized by a wide range of industrial stakeholders from machine builders, to system integrators and end users.

Industry experts agree that the foundation of Industrial Ethernet solutions for factory automation remains laser-focused on smart connected machines, edge and cloud-based computing, the potential impact of AI technology and new products and tools that simplify the ongoing quest for IT-OT integration.

As digital transformation accelerates, factories face both opportunities and challenges. New technologies are key to increased efficiency, but implementing these technologies can be complex and requires thoughtful execution. Explore how digital factory implementations can help realize manufacturing plant efficiencies.

As plants completes the digital transition, communication with process control systems is more and more important. HIMA’s digitalization strategy for functional safety has prioritized offering the most popular industry-standard protocols for safety systems, and now includes PROFINET to handle distributed I/O.

Point Energy Partners has replaced outdated controls with an IIoT Edge Solution that is preventing spills and improving efficiency using Opto 22’s groov RIO. Automating water level monitoring and pump operation has not only made the jobs of field operators easier, but has also resulted in significant cost savings.

This article highlights how Process Device Profiles can be utilized in a multi-vendor environment. The focus is on a use-case in which an operator is informed of an error, and able to take action, leading to resolution of the problem through replacement of the instrument with an alternative from another…

Moxa partners with IT consulting company to develop first condition-based monitoring system for South Korean rail system. As with any AI system, preprocessing the data gathered aboard the train is essential for CBM data analysis.

AI is highly dependent on communications from sensors, intelligent machines neural networks and other devices with neural networks. A high-bandwidth, low-latency neural network built on fast, reliable and secure Ethernet switches can keep pace with the flow of data and ensure efficient management of traffic.