Automation Breakfast 2019
Predictive Analytics and Predictive Maintenance
Discover the new possibilities offered by Predictive Analytics and Predictive Maintenance. Together with selected experts and our technology partners, we present innovative solutions and practical approaches for their application in industrial automation.
Agenda
24 September 2019, Mövenpick Hotel in Egerkingen
Selected experts will present new solutions covering the following topics:
Check-in and welcome coffee
Arrival and networking
SATOMEC AG
Cybersecurity and Predictive Maintenance
Measures for cybersecurity and Predictive Maintenance as well as anomaly detection.
ProtectEM
Coffee break
Take a break and recharge
SATOMEC AG
Data acquisition for IIoT / Industry 4.0
Opportunities with Secomea for Predictive Maintenance and data analytics
Secomea
Coffee break
Take a break and recharge
SATOMEC AG
New software architectures: microservices & Docker
An exclusive insight into the latest developments in the zenon software platform.
COPA-DATA
Questions and answers
Our speakers will be pleased to answer your questions
SATOMEC AG
Standing networking lunch
An opportunity to exchange ideas and explore the topics in greater depth
Our experts for this year’s event
Prof. Dr. Peter Fröhlich
Managing Director of ProtectEM GmbH
Peter Hjølund
Regional Director, DACH and Benelux
Dipl. Ing. Sebastian Schöndorfer
Product Management, COPA-DATA
Your Hosts
Together with our technology partners, we present solutions and expertise in Predictive Analytics and Predictive Maintenance.
Our experts on Predictive Analytics and Predictive Maintenance
What opportunities and challenges do Predictive Analytics and Predictive Maintenance create in industrial practice? Our experts share their perspectives on the development and practical application of these technologies.
Insights from our experts
“Everything into the cloud, and then what? Condition Monitoring, Predictive Maintenance and process optimization increase productivity and availability. But achieving this requires more than buzzwords and hype. Artificial intelligence cannot replace close understanding of the process or a rigorous engineering approach. Used correctly, however, it becomes a powerful tool!”
Peter Fröhlich
has thirty years of experience in secure automation technology. As Dean of the Faculty of Mechanical Engineering and Mechatronics and Managing Director of ProtectEM GmbH, he and his team work with automation manufacturers, machine builders and manufacturing companies on secure automation and practical success in digitalization.
“Your machine data is becoming increasingly valuable for maintaining efficiency, reducing downtime and remaining competitive while controlling costs and quality. To remain future-ready, preventive, predictive and corrective maintenance depends on an infrastructure that can help you collect the data required for diagnostics and further analysis, either within your own environment or through a third-party cloud.”
Peter Hjølund
As Regional Director, Peter Hjølund works together with our local distribution partner to advise international end customers on scalable, secure remote maintenance solutions and the infrastructure required for data acquisition.
“Who needs predictive information in day-to-day production operations? Only real-time integration into the user interface allows operators to use the data efficiently. By interconnecting production sites and securely connecting to third-party systems such as Microsoft Azure or dashboarding tools, Predictive Analytics can provide significant value. Modern software architectures such as microservices and Docker are essential for precisely this purpose.”
Sebastian Schöndorfer
As Product Manager at COPA-DATA, he is responsible for the strategic direction of the zenon automation software. With 13 years of professional experience in automation and as a lecturer at Salzburg University of Applied Sciences in networking and cybersecurity, he is equally at home in the IT and OT worlds.