Control Engineering hot topics, November 2022
Control Engineering's most clicked articles in November 2022 included stories on PLC programming, System Integrator of the Year winners, sustainable 5G and more. Miss something? You can catch up here.
Hot topics in Control Engineering, for November 2022, for stories posted in the last three months included PLC programming, System Integrator of the Year winners, sustainable 5G and more. Links to each article below.
Programmable logic controller (PLC) programming is often done to resolve an immediate problem, but this can lead to long-term issues, particularly if the original programmer isn’t around.
Integrator companies Eosys, NorthWind Technical Services and George T. Hall are recognized for their outstanding achievements.
Future networks have the potential to reduce the environmental impact of industries that consume high levels of energy, but the industry needs a holistic energy saving solution to maximize the benefits and create real impact.
As plants adjust to meet the realities of a new global marketplace, an evolving control system with secure operational technology (OT) edge technologies will help lead the way.
2023 System integrator of the Year, Eosys, excelled in digital transformation, batch control, and other control and automation system project integration, with emphasis on mentoring and continuing education.
Digital transformation and the Industrial Internet of Things (IIoT) can help companies transform their culture and business. Five steps for companies embarking on the digital transformation journey are highlighted.
MIT researchers have developed a sensor to make it much easier to ensure a good face mask fit and it can be applied to any kind of mask.
The manufacturing landscape has evolved to where consumer, industrial and cultural demands are changing and creating a world where manufacturers need to be agile and flexible in their approach.
Coupling strategic engineering techniques with integrated management software helps unlock best-in-class alarm solutions. See five rules of alarm relevancy, three examples.
MIT researchers have developed a machine learning approach that can affect the energy generated during fusion reactions, with implications for reactor design.
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