We optimize your processes.
We develop sustainable and innovative solutions that translate the latest scientific and technological developments into industrial practice. We maintain long-standing, partnership-based customer relationships with industrial companies worldwide who use our solutions to make their plants more climate-friendly, resource-saving, efficient and therefore more profitable.
Saving energy, increasing running times, boosting throughput, ensuring product quality and ultimately making considerable cost savings can be accomplished directly with our solutions.
Our expertise includes applying artificial intelligence approaches to generate further data-based optimization potential.
inspect pro control measures and analyzes infrared and sensor data of your thermal processes, such as hazardous waste, cement, zinc, or silicon production, and offers possible savings. Convince yourself of the inspect system at our partner's site or with a test measurement at your site.
In addition, we support you in the transformation to decarbonize your processes. Whether hydrogen or other renewable energy sources, we offer research-based services to adapt your processes.
Cement production with inspect C
inspect pro control C supports reducing fossil fuels and their CO2 emissions by substituting these fuels with alternative fuels for cement production.
Based on inspect parameters, a uniform temperature in the sintering zone of the clinker can be achieved, even under varying combustion behavior conditions. An optimized operation, e. g., by adapting the burner, significantly reduces energy costs while maintaining high product quality.
Additionally, the AI-based free-lime estimator provides real-time information on the currently produced cement quality long before the laboratory analysis is completed.
Honoured as winner of the ALLIANZ Industrie 4.0 Baden-Württemberg award
Machine Learning for Free Lime Prediction
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.
Hazardous waste combustion with inspect H
Consistent combustion with varying fuel properties and changing hazardous waste fractions is essential. This consistency applies to long service lives, maximum throughput, compliance with the necessary temperatures, and stable downstream steam and power generation.
inspect pro control H supports the stable operation and increased throughput based on the evaluation of infrared images to calculate parameters in the rotary kiln and the post-combustion chamber. High-quality results of the image analysis are enabled by deep-learning methods.
Zink recycling with inspect Z
The efficiency of recycling zinc from steel mill dust in rotary kilns depends directly on optimal process control (e. g., consistency of the slag, temperature).
inspect pro control Z records the thermal process conditions and calculates the crucial parameters for optimized temperature control in real-time. An applied innovative image processing approach filters out flames, soot, and zinc oxide dust disturbances. A control module continuously adjusts the process air supply to achieve the optimum slag temperature.
AI engineering
Artificial intelligence methods open up new possibilities for data-driven optimization of industrial processes. For example, sensor data measured in industrial plants can be intelligently linked to estimate meaningful parameters for the current process quality in real time.
The addition of this continuous real-time estimation alongside laboratory analyses provides significant added value for process optimization.