ABOUT US
We have extensive experience in engineering education in numerous university-level courses for six years. However, we acknowledge that the development of such frameworks requires significant qualified human resource and industrial network, therefore, we closely cooperate with our partners in the fields of IT, process control and indoor positioning systems.
What We Do
AI-BASED ALARM MANAGEMENT
Risk mitigation by Artificial Intelligence
DATA-DRIVEN PROCESS DEVELOPMENT
Identification of process-models
SMART MONITORING - INTELIGENT SPACE
Analysing real-time position and machine data
ROOT CAUSE ANALYZES BASED ON MACHINE LOGS
Critical event analayses and predictive maintenance
DECISION SUPPORT - REAL-TIME DIGITAL TWIN
Applied Industry 4.0 solutions in production systems
About our company
Our company aims to utilize the hidden knowledge in these datasets. Our regular projects involve a two-folded work: one, we reveal production bottlenecks, control inefficiencies, fault detection and diagnosis problems by the means of data mining and analysis and deliver the developed algorithms, and two, we support our clients to utilize the knowledge in their datasets by providing educational trainings explaining these techniques. In our last project, we developed algorithms and visualization solutions for the analysis and prediction of alarm messages.
About Us
GYULA DÖRGŐ
Gyula graduated with bachelor's (2016) and master's (2017) degree in chemical engineering with a specialization in process engineering from the University of Pannonia. His work interest covers the areas of goal-oriented optimization, event analysis and data science applications in process mining. His current work focuses on the applications of process mining tools in alarm management for the improvement of process safety.
TAMÁS RUPPERT
Tamás graduated with a bachelor's degree in Mechanical Engineering (2015) and Engineering Information Technology (2015) and master's degree in Mechatronical Engineering (2016). His work interests cover the areas of process mining algorithms, Discrete-event simulators and supply chain management. His current work focuses on Industry 4.0 (Discrete Event simulators, Connected Factory, Supply Chain management) and Big Data.
