Control Engineering hot topics, April 2018
Hot topics in Control Engineering, for April 2018, included DCS implementation, IIoT’s capabilities, ladder logic, cybersecurity advice, and AI’s impact on robotics. These are based on the top 10 most read articles online in Control Engineering April. Links to each article below.
It’s time to start up your new distributed control system (DCS). How do you make the transition as positive and painless as possible?
The Industrial Internet of Things (IIoT) enhances manufacturing operations by enhancing connectivity, equipment management, monitoring production, and customer relationships. Nine additional IIoT benefits are highlighted.
Two faults happening at the same time in ladder logic is extremely unlikely, but there are different situations and scenarios users need to be cognizant of and plan for accordingly.
Cybersecurity incident: Human errors enabled it, but the Triconex safety controller shut down the plant as designed, say experts with Schneider Electric and ARC Advisory Group. But it’s still a call to action for industry. Have you implemented changes since then?
Researchers and manufacturers are looking to teach robots how to learn and handle complex tasks with artificial intelligence (AI), but their capabilities are quite a bit removed from what people believe robots are capable of achieving.
Gain valuable data insights by integrating operations, information technology (IT) systems, and creating a more effective Industrial Internet of Things (IIoT) solution.
The challenge original equipment manufacturers (OEMs) and design engineers wrestle with is integrating new technologies with the Industrial Internet of Things (IIoT) in a way that allows them to complete in today’s evolving and interconnected world.
Improving plant efficiencies starts with bridging the gap between workforce generations. Generation X can help connect traditional industrial applications with digital manufacturing. See three benefits of mobility on the plant floor and implementation advice.
The meaning of an embedded system varies depending on the application; system integrators, end users, and original equipment manufacturers (OEMs) may have different views.
To be effective, Big Data analytics must deliver on the end-user experience, and not on the hype associated with artificial intelligence and machine learning.
On Mondays, see the top 5 articles of the prior week. In January, see the hot topics for the prior year.
Chris Vavra, production editor, CFE Media, email@example.com.