Systems that were meant to keep the process in control and inform operators of deviations, at BP Refinery in Texas City (1) and Texaco Refinery in Milford Haven (2), were incapable of their basic task. As a result the operators in one case were given faulty alarm information whereas in the other case operators were flooded with too much alarm information not allowing timely response. It was very difficult for the operators to be aware of the situation that was developing. Read more
Why is Citizen Data Science a driver for better IOT and CEP solutions using Operational Intelligence?
It’s interesting to see how emerging technology has changed in just 5 years. Specifically the term ‘Citizen Data Scientist’, a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics, has become an Innovation Trigger (more on this by Gartner and Forbes).
IIoT endeavors – Proof of Concept, Proof of Value – are often uncharted territory for organizations. This either because data is unlocked from assets where no-data has been before or because the organization is going to trial new methods of service/product delivery where no other organization has gone before. This all sounds a bit trekky, but deep down the innovative nature of many IIoT endeavors can also be havoc to its result.
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