Digitization: use & visualization of data
September 27, 11:00 AM – 1:30 PM
LOCATION: Feringa Seminar Room in World of Industry (hall 11)
Discover the power of Big Data and IoT in Industry. Learn how data collection, analysis and visualization can lead to better insights, optimized performance and proactive maintenance.
Developments in the field of digitalization via the CLOUD to visualization are moving very quickly. JUMO, Kensan, EUCHNER and Yokogawa present the latest innovations and share their acquired knowledge through practical examples.
Program
| Time | Subject | |
|---|---|---|
| 11:00 – 11:25 | Digitalization within the beer brewing process Dirk Kop – JUMO | News: beer brewing 2.0 |
| 11:30 – 11:55 | From sensor data to Smart data Wiek Wijnands – Kensan | |
| 12:00 – 12:30 | Pause | |
| 12:30 – 12:55 | Manipulation quickly discovered with Smart-safety, Algorithms and AI Vladimir Dragosavic – EUCHNER | |
| 13:00 – 13:25 | The latest developments towards a smart and autonomous plant Bart Jan Homan – Yokogawa |
Digitalization within the beer brewing process
Beer consists of four ingredients: water, malt, hops and yeast. The brewing process starts with grain grains and the result is a golden-colored refreshing alcoholic drink! How is beer brewed and what determines the carbonic acidity, taste or fullness? Every step of the beer brewing process contributes to the unique properties and character of this delicious drink. Using a brewery setup, JUMO shows what is needed to brew a beer.
JUMO demonstrates modern technology that is applied in the brewing process to digitize temperature, pressure, flow, level and conductivity sensors, automate the brewing process and visualize the data via MQTT in the CLOUD.
Dirk Kop – JUMO
What should I take into account when a PLC must comply with IEC 62443-4-2?
In this session, Wiek Wijnands from Weidmüller partner Kensan will show you how you can add the full breadth of Predictive Maintenance to Asset Management with Industrial Analytics & Machine Learning. Machine learning makes it possible to detect 'anomalies' more precisely and earlier, even without prior problem definition. This also reveals unknown (environmental) factors that influence process or product quality. Often a lot is already possible with existing data! Kensan is a specialist in the field of Asset Management and Smart Industry and has developed the Asset Health Monitor based on Weidmüller AutoML. The intuitive dashboard of this Asset Health Monitor provides real-time insight into the condition (Health) of assets, but also their 'Mana' and 'Stamina'. Indispensable 'smart data' as a foundation for innovation and Operational Excellence!
Manipulation quickly discovered with Smart-safety, Algorithms and AI
Smart safety switches provide a laundry list of data. It depends on how you combine and interpret them. For example, you can use it to detect manipulation, predict maintenance interventions and more. Bypassing security measures can become a thing of the past.
Some striking examples will be discussed during this presentation. There is a demo setup on the exhibition floor where you can log in with your mobile phone and try to discover manipulation yourself.
Vladimir Dragosavic – EUCHNER
The latest developments towards a smart and autonomous plant
From Industrial Automation to Industrial Autonomy, that is Yokogawa's IA2IA vision. With this vision, we are currently making great strides with cloud solutions and the robotics platform. In concrete examples, Bart Jan Homan from Yokogawa explains how you can realize smarter, more autonomous and more efficient production processes.
Bart Jan Homan – Yokogawa
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