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.
Strategy and standards help determine Big Data, IIoT value
Cover Story: There are many tools for capturing the potential value Big Data and the Industrial Internet of Things (IIoT) provide, but companies need to know what kind of information they want and how to gather it securely.
Core-isolation enables virtualization for industrial applications
For managing servers and other applications, virtualization has become a major tool in the IT space that provides huge benefits; core-isolation can minimize the amount of physical hardware that must be purchased as well as provide additional automation benefits to users.
Using programming standards to leverage modern HMI solutions
Modern human-machine interface (HMI) solutions can benefit from automation technology (AT) and information technology (IT) convergence solutions.
PC-based control drives global adoption of Industrie 4.0, IIoT concepts
PC-based control systems are at the front lines of automation technology and information technology convergence (AT/IT) as businesses find ways to funnel data into a useful, actionable form designed to empower decision makers as they look to stay competitive.
Big data and cloud for manufacturing
Cloud: Industrial Internet of Things (IIoT), Industry 4.0 applications, and basic electronic services are moving from local servers into the cloud, using Internet-based software as a service (SaaS). Machine builder original equipment manufacturers (OEMs) and equipment end users use cloud-based services to monitor machines remotely. See four ways to launch IoT project.