Outcome Optimizing Control: Incorporating Enterprise Data and Analytics into Traditional Control Processes


Outcome Optimizing Control (OOC) offers a generational advancement to PAC-based industrial control systems by enabling safe, secure communication between real-time deterministic control and non-deterministic applications that leverage external data to analyze and optimize business operations. OOC provides software defined controls with enhanced optimization capabilities while maintaining the stringent safety and security required in industrial applications. OOCs utilize Edge technology running on a general purpose operating system such as Linux next to the real time deterministic control to optimize control processes by leveraging data and analytics from external sources such as enterprise, ecological and environmental databases via the Industrial Internet. On today’s PACs, customers can write rudimentary analytics utilizing IEC61551 languages; OOCs enable modern programing languages such as C/C++, Python and Java that can be used to apply complex optimization algorithms or analytics to operations without impacting the control process. This allows the incorporation of an “outer loop”, an “advise” layer on top of the typical “see-think-do” control loop that can optimize the control application.  In the event of a disruption to this “outer loop”, the real-time deterministic control remains unaffected and provides the same functions as a traditional PAC device today 

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