Edge Computing, Embedded Systems
Edge control can take many forms to access stranded data, with modern programmable logic controllers (PLCs) often the preferred alternative.
Flexible computing, contextual data and modular architectures will change the face of control systems and improve overall plant performance, helping to lower risk from retirements.
Labplas redesigns custom production machines with EtherCAT, robotics and AI for quality control, ensuring ROI of less than one year on all upgrades, for 15 to 35% machine productivity increases.
Industrial Internet of Things (IIoT) can include cloud to edge architectures. What mix of cloud and edge technologies should a particular application have?
AI at the plant floor’s edge empowers machine builders to increase production quality and efficiency
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.