References

Testimonials

Dr. Roland Melerski
Process Manager
OPTERRA Wössingen GmbH
Walzbachtal

For us, ci-tec is a reliable and respected industry partner. We are highly impressed by the way they accept our specific requirements and our feedback and incorporate both in inspect pro control C. In this way, sustainable innovations result, by means of which we can make our processes more efficient.

Christian Prugovic
Project Operations Manager
Hazardous Waste Incineration
BASF SE
Ludwigshafen

Sidestreams out of production processes of the BASF which can not be avoided or used anymore are incinerated at the hazardous waste incineration plant of BASF. In order to achieve maximum efficiency in this process, camera-based solutions from ci-tec are used. The inspect system provides a good basis for the implementation of control technology in the process, and ci-tec is a valuable partner for further optimization.

Thomas Flath
Plant Manager
Befesa Zinc Duisburg GmbH
Duisburg

We have used inspect pro control Z successfully as a process control component in our plant for several years. Among other things, it helps to reduce the number of short shutdowns required in Duisburg. In addition to the robust temperature measurement of the slag, the profound view of the rotary kiln using infrared technology combined with image analysis is constructive. This enables us, for example, to detect larger chunks of material in the rotary kiln early and take countermeasures. ci-tec has tailored the configuration of the inspect pro control Z system precisely to our needs and expanded its functionality to fit perfectly.

Honoured as winner of the ALLIANZ Industrie 4.0 Baden-Württemberg award
Machine learning for data-based models for free-lime forecasting

Rising energy costs drive the use of alternative fuels. inspect pro control C monitors their behavior online, evaluates it, and optimizes control to reduce energy consumption while maintaining product quality. Until now, free lime values were only available through subsequent laboratory analysis. Machine learning now enables real-time estimation based on infrared temperature measurements and process data, optimizing fuel use, reducing energy costs significantly, and ensuring consistent product quality.

ci-tec optimizes processes and reaches measurable savings potentials. Worldwide.


inspect C

Germany (2)
Bulgaria (1)

inspect H

Germany (16)

inspect S

Europe (2)

inspect Z

Germany (3)
Taiwan (2)

inspect W

Worldwide (43)