Better insights into wood-based panel production
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Jan Bär
After graduating with a Master of Science degree in Electrical Engineering from the KIT in Karlsruhe, Jan Bär started as Control Systems Engineer at Dieffenbacher GmbH in Eppingen. His main area of employment has been control system engineering and industrial automation for different kinds of hydraulic presses. In his role as Senior Engineer Digitalization he is now involved in CI/CD-Processes, Communication Interfaces and both Backend- and Frontend Development at Dieffenbacher.
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Santhosh Balaji Ramesh
Born in India, Santhosh Ramesh graduated with a Master’s degree at the University of Applied Sciences in Darmstadt in the field of Electrical Engineering. He then worked in a number of companies in the areas of Control Systems Engineering, Industrial Automation and Frontend Development. As Senior Frontend Developer he is currently involved in CI/CD-Processes and the development of the EVORIS Plattform at Dieffenbacher.
After graduating with a Master of Science degree in Electrical Engineering from the KIT in Karlsruhe, Florian Schleissinger started as a Control Systems Engineer at Dieffenbacher GmbH in Eppingen. He then worked for several years in the area of control system engineering and industrial automation of hydraulic presses and plants. As Software Architect Digitalization and AI Systems Engineer he is now involved in the development of EVORIS and the Quality Prediction Module at Dieffenbacher.
After graduating in mechanical engineering/industrial automation at the Hochschule Karlsruhe/University of Applied Sciences, Jürgen Woll held various positions and managerial functions in the electrical design, control system engineering and industrial automation of hydraulic presses and plants. As Vice President and member of the Executive Management Committee, he is now responsible for industrial automation, digitalization and product safety at Dieffenbacher.
Abstract
Dieffenbacher has developed a completely new software platform for the digitalization of wood-based panel production plants. The name of the Platform is EVORIS. This article explains how smart data processing in production, with the help of artificial intelligence and machine learning, delivers transparency to production processes and helps operators and technologists to produce smarter. Furthermore, experiences in working methods, the development process, AI engineering and, above all, lessons learnt from theory vs. practice are illustrated.
Zusammenfassung
Dieffenbacher hat eine neue Software-Plattform zur Digitalisierung von Holzwerkstoffanlagen entwickelt. Diese Plattform trägt den Namen EVORIS. Der folgende Artikel erklärt, wie die intelligente Datenverarbeitung in der Produktion mithilfe von Maschinellem Lernen und Künstlicher Intelligenz, Produktionsprozesse transparenter macht und Anlagenbediener und Technologen dabei unterstützt, smarter zu produzieren. Darüber hinaus werden Erfahrungen mit angewandten Arbeitsmethoden, Erkenntnisse aus dem allgemeinen Softwareentwicklungsprozess und der systematischen Entwicklung von KI-Algorithmen im Speziellen aufgezeigt. Final werden Schlüsse aus der Gegenüberstellung von Theorie und Praxis gezogen.
About the authors
After graduating with a Master of Science degree in Electrical Engineering from the KIT in Karlsruhe, Jan Bär started as Control Systems Engineer at Dieffenbacher GmbH in Eppingen. His main area of employment has been control system engineering and industrial automation for different kinds of hydraulic presses. In his role as Senior Engineer Digitalization he is now involved in CI/CD-Processes, Communication Interfaces and both Backend- and Frontend Development at Dieffenbacher.
Born in India, Santhosh Ramesh graduated with a Master’s degree at the University of Applied Sciences in Darmstadt in the field of Electrical Engineering. He then worked in a number of companies in the areas of Control Systems Engineering, Industrial Automation and Frontend Development. As Senior Frontend Developer he is currently involved in CI/CD-Processes and the development of the EVORIS Plattform at Dieffenbacher.
After graduating with a Master of Science degree in Electrical Engineering from the KIT in Karlsruhe, Florian Schleissinger started as a Control Systems Engineer at Dieffenbacher GmbH in Eppingen. He then worked for several years in the area of control system engineering and industrial automation of hydraulic presses and plants. As Software Architect Digitalization and AI Systems Engineer he is now involved in the development of EVORIS and the Quality Prediction Module at Dieffenbacher.
After graduating in mechanical engineering/industrial automation at the Hochschule Karlsruhe/University of Applied Sciences, Jürgen Woll held various positions and managerial functions in the electrical design, control system engineering and industrial automation of hydraulic presses and plants. As Vice President and member of the Executive Management Committee, he is now responsible for industrial automation, digitalization and product safety at Dieffenbacher.
References
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© 2022 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- AI Systems Engineering – systematic development and operation of AI-based systems
- Survey
- KI-Engineering – AI Systems Engineering
- Tools and methods for Edge-AI-systems
- PAISE® – process model for AI systems engineering
- Methods
- Explainable AI: introducing trust and comprehensibility to AI engineering
- The why and how of trustworthy AI
- Applications
- Industrial challenges for AI systems engineering
- Forum
- Better insights into wood-based panel production
Articles in the same Issue
- Frontmatter
- Editorial
- AI Systems Engineering – systematic development and operation of AI-based systems
- Survey
- KI-Engineering – AI Systems Engineering
- Tools and methods for Edge-AI-systems
- PAISE® – process model for AI systems engineering
- Methods
- Explainable AI: introducing trust and comprehensibility to AI engineering
- The why and how of trustworthy AI
- Applications
- Industrial challenges for AI systems engineering
- Forum
- Better insights into wood-based panel production
