TurboTime Podcast: Software & Cybersecurity with Emerson

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In this episode of the TurboTime podcast, we talk about digital ecosystems, including AI-based software, cybersecurity, and more with Jim Nyenhuis from Emerson.

During this episode of the TurboTime podcast, we discuss digital ecosystems with Jim Nyenhuis, the Performance Consultant at Emerson’s Power and Water Solutions Business. We focus on software, including AI-based software, detection and monitoring technologies, software’s influence on a turbomachine’s life, as well as cybersecurity and potential risks that power plants are exposed to.

Q: How does a digital ecosystem improve operational efficiency, plant safety, etc.?

Nyenhuis: Digital technologies allow us to address all those issues. We work with customers to understand what operational efficiency means to them based on their objectives. Plant safety is without question built into everything we do. We want to understand and leverage what the underlying technology can tell us and let that information feed up through the digital ecosystem—how do we understand what's working well at the plant level, how do we identify if there are control problems or if individual pieces of equipment are having issues? A lot of that information is lying within the automation infrastructure, and I don't think we've leveraged that to the degree we want to. We find many customers do not understand the performance characteristics of their closed-loop controls or areas to drive additional improvement, efficiencies, etc.

Performance and control management is another big area that we look at. Our information, such as the automation system, will oftentimes track what operators are doing within the system. In the past, that information was stored in text-based logs, but there's a lot of valuable information stored in those log files that if we expose that information, we can understand how operators are interfacing with the system during different periods of operation, be it startup, shut down, various operating modes, etc., and based on that we can determine where operators are spending a lot of their time.