Daymon Thompson
Daymon Thompson, automation product manager – North America, Beckhoff Automation.
Articles
Seven tips for implementing machine learning in controls environments
Machine learning (ML) applications are evolutionary by nature, so it is important to understand how they work and keep looking for new ways to apply them to deliver an automation advantage.
IT/OT convergence provides a path forward
Long before Industry 4.0 and cloud-connected architectures became possible, innovators championed PC-based technologies for industrial automation.
New mobile HMI designs respond to user, device requirements
HMI software should mix elements of web design and controls engineering to create effective operator interfaces for industrial displays and mobile devices of all sizes.
Machine design concepts improve automation and controls simulation
Virtual design tools and automation software intersect to save time and costs in machine commissioning so engineers can spot potential flaws before implementation.
Six ways data acquisition strategies can support advanced analytics
Some applications require data acquisition strategies without cloud connectivity, but they can still benefit from advanced analytics technology.
Advanced algorithms for analytics on the edge
Substantial computing power in modern industrial PCs and cloud bandwidth considerations make the case to analyze machine performance directly on controllers, before the cloud.