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Autonomy through perseverance

Artificial intelligence, machine learning, information retrieval or even data mining – these are all buzzwords that come up in connection with autonomous systems within the process industry. Are autonomous systems the future in the process industry and thus practically the next step beyond automation? I already wrote in my previous post that I see in precisely this circumstance the beginning of a change in automation that is moving towards industrial autonomous systems. But what actually makes us so confident that this transformation will actually take place?

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And the Oscar Goes To…Sushi Sensor (Part 1 of 2)

Our IIoT solution Plant Asset Management (PAM) with integrated Sushi Sensor and GA10 AI software has been awarded this year’s innovation prize for the best asset monitoring technology by the trade journal ‘Hydrocarbon Processing’. This award honours the best innovations and innovators in the hydrocarbon processing industry. Read the first of our two articles for more information.

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Topic IA2IA – new column by Dr. Andreas Helget is online

Self-propelled cars are well known. In other areas of application, however, “autonomy” is also a major (future) topic, for example in the process industry. But what do we actually understand by “autonomous systems” at present and where is the journey heading? In his latest column “Zur Sache, bitte” (To the point, please), Dr. Andreas Helget, Managing Director of Yokogawa Deutschland GmbH, deals with the topic of IA2IA.

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Safety needs friends… (Part 2/2)

As we have seen in part 1 of this article, there are processes that cause a system’s performance to (prematurely) deteriorate or that the system can no longer fulfil its purpose. As we will see, these processes are not so different for cars (part 1) and safety systems in the process industry. However, there is a big difference in the rules and regulations during operation. We drivers have a bit of the “main inspection” and perhaps the “inspection booklet” of the manufacturer on our backs. Otherwise the legislator more or less leaves it to us to admonish to be on the road with a “safe” vehicle. This is quite different with regard to safety in the process industry. There is a multitude of laws, rules etc. that must be observed.

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Happy Birthday, IoT: The Internet of Things recently turned 20

Whether E-Health, Smart-Home, Smart-Car, Smart City or Smart Production – all these areas, which have emerged more and more in the recent past, are typical examples of the so-called “Internet of Things” (IoT) or in German: the “Internet of Things”. The British technologist Kevin Ashton is responsible for the fact that this long-established term was able to celebrate recently its 20th birthday, more precisely on 21 February (already). The 50 year old Briton used the abbreviation “IoT” for the first time in 1999.

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Assistance systems 3 – The “signpost” & the “predictor”

Can you do that? Is there? Surely both production managers and plant operators have already asked themselves these questions. To become more concrete: You, as a production manager, have experienced plant operators and you know that you have taken good care of your control and alarm strategy. Functional safety is also up to date. You won’t burn anything. Nevertheless, something is bothering you: No matter how stable and safe your system is, you don’t really know how efficiently it drives. Isn’t there the famous “grain” left in it?
Or let’s put ourselves in your place as a plant operator: you have been operating your plant for years and know it well. From time to time she does her “talking tricks” and you don’t know why. Although you keep to the allowed temperature step in the reactor, it is about to go through or it is going through. Such an “early warning system” would be very practical. This runs in real time and warns you in advance that something is going to go wrong. Then you still have enough time to react accordingly. Something like a “process crystal ball” would be good. But is there such a thing?

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