Data analysis and simulations of processes and phenomena

If you want to understand and control the phenomena and processes that you use in your business or from the data you owning, you want to extract synthetic knowledge, learn about our skills and tools. Thanks to them, we can simulate physical and chemical technological processes or model and analyze stochastic processes that have a significant impact on your work and the benefits you get from it. Thanks to our tools, you will extract useful knowledge from the noise of data and information that surrounds you.

Analysis and simulation of stochastic processes

Analysis and simulations of stochastic processes described by time series and / or probability fields by means of the SPASS software. The results generated by the System can be used, among others in:

  • power engineering while analyzing and modeling of the productivity of energy sources with medium and high dynamics of generation variability, e.g. wind or solar farms

  • analysis and modeling of volatility of energy markets, e.g. DAM, Intra-day and Balancing Market

  • analysis and modeling of the volatility of financial markets, e.g. to compose a portfolio of assets with given parameters

  • automatic diagnosis of EEG, ECG, etc.

  • in industry in the analysis and modeling of technological processes with the characteristics of stochastic processes

  • in maintenance forecasting

  • in statistical production control systems (SPC)

The use of SPASS allows obtaining useful information from random data. Its functionality correlates perfectly with Industry 4.0, Distributed Generation (Renewable Energetics) and modern financial markets

Analysis, modeling and simulations of technological processes

Construction of mathematical models of physical and chemical processes and phenomena used in industry. Models describing the dynamics or kinetics of these processes can be used to effectively control them, e.g. control of drying process of pharmaceutical granules. Such models enable shortening of process times, lowering costs and increasing quality. They perfectly fit into the concept of Industry 4.0. (look down)

Expert opinions

Preparation of quantitative and qualitative reports on physical and chemical phenomena and processes, used in technological processes in industry, e.g. drying processes in pharmaceuticals – on-line estimation of moisture content in dried granulate; energy conversion processes in the energy sector – calculating the distribution of variability of the annual productivity of wind farms or solar farms.

Conducting audits preceding the introduction of control and management systems of technological processes in terms of defining which control and measurement systems and calculation models of processes are necessary to be able to effectively control them, for example in a completed project on drying pharmaceutical granules has been carried out a critical analysis of types and placement of physical quantities sensors on Glatt dryers and the necessary scope of the physicomathematical model of the drying process was defined.