› R & E


Research and development

As an innovative, young company,we seek to use and actively refine the latest processes and know-how in data and systems analysis, automation and process optimization, in addition to traditional successful techniques.

Our work in these fields includes close cooperation with the department of electrical engineering and automation technology of the University of Applied Sciences, Jena, Germany. Together with Prof. Karl- Dietrich Morgeneier, we have supervised three diploma theses that have dealt with artificial neural networks and fuzzy technologies.

On June 13, 2002, an important date in our young company history, we received word of support from the German Federal Ministry for Economics and Technology for a project run jointly with the University of Applied Sciences, Jena. The project is entitled “Integration of computer-supported intelligence into automation solutions for biotech systems.”

For the past year, we have been working together on an “intelligent” solution for biochemical processes that are difficult to master. The project was completed in early 2004.


„Neuro / fuzzy control of wastewater treatment plants“

2001 Diploma thesis, Michael Wächter

Basic research on the use of artificial neural networks and fuzzy technologies for the process optimization of wastewater treatment plants. Simulation of results using real treatment plant process data.

2002 Diploma thesis, Jürgen Rummel

Development of a software module to implement different artificial neural networks for user-specific automation solutions.

2002 Diploma thesis, Andreas Trümper

Practical implementation of process optimization using artificial neural networks and fuzzy methods for a water treatment plant.

A highlight of our research and development activities was in June 2002, with the receipt of a grant approval decision by the Federal Ministry of Economics and Technology (BMWi) through the funding of a research project in collaboration with the University of Applied Sciences Jena. The cooperation project was titled “Integration of computer-aided intelligence in automation solutions for biotechnical systems”. The project, developed in the various software tools for “smart” regulation for otherwise difficult to control biochemical processes, was successfully completed in early 2004.

2008 Diploma thesis, Erik Böhme

Entwicklung objektorientierten und erweiterbaren Bibliothek in CoDeSys sowie einer zugehörigen browserbasierten Visualisierung in Flash.

Als Kleinststeuerung wurde die auvis.box™ erprobt und eingesetzt.

2009Diploma thesis, Matthias Nörenberg:

Entwicklung einer Inbetriebnahmeoberfläche in CoDeSys für ein Serienprodukt.

Den Schwerpunkt stellt die azyklische Übertragung der Parameter über den CAN-Bus dar.