Edge Computing, Embedded Systems
Largest U.S. rotary heat-treating facility modernizes controls and automation with tight database integration.
Edge computing allows engineers to use lower costs to develop newer applications such as shop-floor data analysis and quality prediction. Artificial intelligence (AI) improves the efficiency and accuracy of plant operations.
Latest remote I/O combines IIoT communication with even more processing power than traditional intelligent I/O
Leverage edge technologies in good times and bad by using remote visualization, monitoring, access and management as well as artificial intelligence (AI), machine learning (ML) and analytical applications.
Improving the process of patching code in vulnerable embedded systems is a major cybersecurity concern because much of the code currently running is vulnerable to hackers.
Delivering the right human-machine interface (HMI) experience is critical whenever people need to interact with automation.
Combining the potential of Industrial Internet of Things (IIoT) devices with the processing power of edge computing, automation solutions and analytics is giving manufacturing production data more value. See five ways to make edge IIoT deployment more effective.
With the rise of 5G in manufacturing, effective edge computing requires consideration of industrial PCs (IPCs) at the edge.
Evolving PLC and PAC platforms, networking, and programming methods are leading to self-assembled machine automation systems, reducing risk and user integration efforts.
Human-machine interfaces (HMIs) are evolving beyond basic visualization devices to become edge-located, data handling, and analytical powerhouses. See 5 modern HMI attributes.